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Review

Adipocentric Strategy for the Treatment of Type 2 Diabetes Mellitus

by
Juan J. Gorgojo-Martínez
Department of Endocrinology and Nutrition, Hospital Universitario Fundación Alcorcón, C/Budapest 1, 28922 Alcorcón, Spain
J. Clin. Med. 2025, 14(3), 678; https://doi.org/10.3390/jcm14030678
Submission received: 2 January 2025 / Revised: 16 January 2025 / Accepted: 18 January 2025 / Published: 21 January 2025
(This article belongs to the Section Endocrinology & Metabolism)

Abstract

:
The global prevalence of obesity and type 2 diabetes mellitus (T2D) has risen in parallel over recent decades. Most individuals diagnosed with T2D exhibit adiposopathy-related diabetes (ARD), a condition characterized by hyperglycemia accompanied by three core features: increased ectopic and visceral fat deposition, dysregulated adipokine secretion favoring a pro-inflammatory state, and insulin resistance. Despite advancements in precision medicine, international guidelines for T2D continue to prioritize individualized therapeutic approaches focused on glycemic control and complications, and many healthcare providers predominantly maintain a glucocentric strategy. This review advocates for an adipocentric treatment paradigm for most individuals with T2D, emphasizing the importance of prioritizing weight loss and visceral fat reduction as key drivers of therapeutic intensification. By combining lifestyle modifications with pharmacological agents that promote weight loss—including SGLT-2 inhibitors, GLP-1 receptor agonists, or dual GLP-1/GIP receptor agonists—and, when appropriate, metabolic surgery, this approach offers the potential for disease remission in patients with shorter disease duration. For others, it enables superior metabolic control compared to traditional glucose-centered strategies while simultaneously delivering cardiovascular and renal benefits. In conclusion, an adipocentric treatment framework for ARD, which represents the majority of T2D cases, effectively integrates glucocentric and cardio-nephrocentric goals. This approach constitutes the optimal strategy for ARD due to its efficacy in achieving disease remission, improving metabolic control, addressing obesity-related comorbidities, and reducing cardiovascular and renal morbidity and mortality.

1. Introduction: The Crisis of the Glucocentric Model

In recent decades, the prevalence of two chronic and heterogeneous conditions—obesity and type 2 diabetes mellitus (T2D)—has increased in parallel [1,2,3]. This trend is unsurprising given that visceral fat accumulation is the leading risk factor for developing T2D in genetically predisposed individuals [4,5]. According to the CDC’s National Diabetes Statistics Report, 89.8% of American adults with diabetes are overweight or have obesity (body mass index [BMI] > 25 kg/m2), and 47.1% meet the criteria for obesity (BMI > 30 kg/m2) [6]. Similar findings have been reported in Spain, where 85.3% and 44.9% of patients with T2D have a BMI above 25 kg/m2 and 30 kg/m2, respectively [7]. However, these figures likely underestimate the true prevalence of excessive body fat among individuals with T2D, as BMI is a suboptimal indicator of adiposity [5,8,9]. An analysis of the NHANES III study showed that the population-level increase in BMI and waist circumference (WC) accounts for 72% of the rise in diabetes prevalence in the United States [10].
Despite advances in precision medicine, the diagnostic criteria for obesity and T2D remain imprecise. Most guidelines continue to use BMI for diagnosing obesity, despite its limitations as a marker of cardiometabolic risk, total body fat, and, critically, visceral and ectopic fat [5]. Measures such as WC correlate more strongly with abdominal visceral fat and its associated risks [5]. On the other hand, the diagnosis of T2D, despite accounting for around 90% of diabetes cases, remains a diagnosis of exclusion [11], as it requires ruling out autoimmune diabetes, monogenic diabetes, and other less common types of diabetes described in the ADA classification [12]. Moreover, its definition is highly imprecise, encompassing individuals with “relative insulin deficiency and insulin resistance”, most of whom have overweight or obesity. It is currently known that T2D cannot be considered a single entity since this term encompasses different types of diabetes with distinct pathogenic mechanisms [13]. While T2D itself is a heterogeneous condition, the predominant subtype—driven by visceral and ectopic fat accumulation—represents a relatively homogeneous entity in genetically diverse individuals [14].
These diagnostic shortcomings have contributed to the widespread adoption of a glucocentric therapeutic strategy for all patients with T2D. While intensive glycemic control is effective to reduce microvascular complications, its impact on cardiovascular (CV) morbidity and mortality remains less well-established. Nonetheless, the glucocentric approach has dominated treatment guidelines for decades [15].
A pivotal shift occurred during 2007–2008, when evidence emerged challenging the intensive glucocentric model and leading to revised regulatory standards for antihyperglycemic therapies, which now require evidence of CV safety. Firstly, rosiglitazone, a PPARγ receptor agonist, had demonstrated greater durability in glycemic control compared to metformin or sulfonylureas in the ADOPT study [16]. However, results from a meta-analysis showed that this drug appeared to increase the risk of myocardial infarction, thereby decoupling the concepts of glycemic control and CV protection [17]. Besides that, the ACCORD trial demonstrated that intensive glycemic control failed to reduce CV morbidity and mortality and was linked to increased all-cause mortality [18]. Weight gain and hypoglycemia in the intensive-treatment groups might have contributed to these findings, though causal relationships remain unproven. Meta-analyses suggest that while intensive hyperglycemia treatment modestly reduces non-fatal myocardial infarctions, it has no significant impact on mortality, stroke, or heart failure [19].
In 2008, the FDA established regulatory criteria requiring meta-analyses or dedicated clinical trials to prove the CV safety of new antihyperglycemic drugs prior to approval. Thanks to this initiative, it was demonstrated that novel drugs such as several glucagon-like peptide 1 receptor agonists (GLP-1RAs) and sodium-glucose co-transporter-2 inhibitors (SGLT-2is) not only improved glycemic control without causing hypoglycemia but also promoted weight loss and reduced CV and renal morbidity and mortality.
Despite these advances, metformin has remained a first-line therapy in many glucocentric algorithms [20] largely due to its antihyperglycemic efficacy, affordability, weight-neutral effects, and the reduction in CV morbidity and mortality observed in a small group of newly diagnosed overweight T2D patients with low CV risk in the UKPDS study when compared to diet, sulfonylureas, or first-generation insulins [21]. However, these findings would not meet modern regulatory standards due to significant methodological limitations, including sample size, lack of blinding, and exclusion of high CV risk patients. Indeed, a meta-analysis of randomized trials concluded that metformin has a neutral effect on the incidence of myocardial infarction and CV or all-cause morbidity and mortality [22]. Consequently, recent trials demonstrating the CV and renal benefits of GLP-1RAs and SGLT-2is have progressively displaced metformin from its longstanding position as the first-line therapy in several T2D treatment algorithms [23,24].
Over the past 15 years, various authors have advocated for a paradigm shift from the classic glucocentric model to a weight-centric approach [15,25,26,27,28]. Weight loss, particularly targeting dysfunctional visceral and ectopic fat, provides numerous benefits for T2D patients, including improved glycemic control, better management of CV risk factors, diabetes remission, prevention of microvascular and macrovascular complications, and reduced mortality [27]. However, current weight-centric approaches often rely on BMI, which inadequately reflects visceral adiposity [5,29]. This limitation risks excluding T2D patients with normal BMI but pathological increases in body fat. Studies have demonstrated a dose–response relationship between WC and all-cause mortality, even in individuals with normal BMI, highlighting the need to evaluate fat distribution rather than relying solely on BMI [29].
A new therapeutic paradigm—termed adipocentric—is, therefore, necessary [30]. This approach begins with a differential diagnosis to identify a specific subset of patients with T2D characterized by increased visceral and ectopic adiposity, often referred to as “diabesity” [31] or, more appropriately, “adiposopathy-related diabetes” (ARD). For these patients, treatment should prioritize weight loss targeting dysfunctional fat through lifestyle interventions, pharmacologic agents, or metabolic surgery (MS). This strategy aims to achieve optimal glycemic control, reduce CV morbidity and mortality, and lower all-cause mortality. Simultaneously, the model must recognize less common diabetes subtypes unrelated to adiposopathy and apply alternative therapeutic approaches for these patients.

2. Adiposopathy as the Most Frequent Cause of T2D

The percentage of body fat in a healthy adult is below 20% in men and 30% in women. Thresholds for obesity have been proposed as a body fat percentage above 25% and 35% in adult men and women, respectively [32]. More than 80% of white adipose tissue is subcutaneous, primarily located in the abdominal and gluteofemoral regions. Visceral adipose tissue accounts for the remaining 10–20% of total body fat in men and 5–10% in women. Additionally, small deposits of brown adipocytes are present in regions such as the supraclavicular, paravertebral, and mediastinal areas. These brown adipocytes can be activated to generate heat in response to cold exposure, with their activity inversely correlated with age, BMI, and fasting glucose levels [33]. Beige adipocytes, scattered within white adipose tissue, can convert into brown adipocytes in response to cold exposure, exercise, and endocrine signals [33].
The genome of Homo sapiens sapiens is evolutionarily adapted to episodic food intake and prolonged fasting, a hallmark of prehistoric times [34]. In the modern era, humans face an excess caloric supply without a compensatory increase in energy expenditure. This disruption of energy balance, induced by the contemporary obesogenic environment, interacts with common genetic and epigenetic predispositions for central obesity and T2D [33], resulting in a pathological response of adipose tissue to positive caloric balance in susceptible individuals called adiposopathy. This condition directly and indirectly contributes to the development of diabetes, metabolic syndrome, and CV disease [35].

2.1. Central Features of Adiposopathy

The three central features of adiposopathy are as follows [30]:
(a)
Increased ectopic and visceral fat: Abnormal accumulation of white adipose tissue in non-physiological locations (e.g., liver, pancreas, heart, and skeletal muscle) and within the visceral compartment (intra-abdominal and retroperitoneal fat).
(b)
Adipokine imbalance: A shift towards a pro-inflammatory profile of cytokines produced by adipose tissue.
(c)
Insulin resistance.
Thus, the presence or absence of adiposopathy helps explain the heterogeneity of obesity and its manifestations, as the pathogenic potential of excess body fat is determined by adipose tissue dysfunction and ectopic fat deposition rather than simply by increased fat mass [35]. Notably, genetic variants linked to mild lipodystrophy in the general population are associated with higher metabolic and CV risk, lower BMI, and increased visceral-to-subcutaneous adipose tissue ratios [36]. Epidemiological evidence consistently demonstrates that waist circumference (WC) surpasses BMI in predicting CV disease risk [29,37].
In genetically predisposed individuals with skeletal muscle insulin resistance, sustained caloric excess cannot be stored as muscle glycogen but is instead stored as body fat [14]. When subcutaneous white adipose tissue becomes saturated or dysfunctional, excess triglycerides are deposited in atypical sites where fat accumulation is normally minimal—such as the liver, pancreas, heart, blood vessels, kidneys, skeletal muscle, and around the viscera—predisposing an individual to cardiometabolic dysregulation [38]. This excessive ectopic fat deposition is pathologically linked to insulin resistance, metabolic syndrome, systemic inflammation, and CV disease. Because most visceral adipose tissue drains through the portal vein, increased lipolysis of hypertrophic adipocytes exposes the liver to high concentrations of free fatty acids and glycerol, leading to various hepatic metabolic alterations. These include reduced hepatic insulin clearance and higher hyperinsulinemia; de novo lipogenesis with palmitic acid synthesis and increased production of triglyceride-rich lipoproteins, as well as heightened gluconeogenesis [5]. The rise in circulating triglyceride-rich lipoproteins promotes pancreatic steatosis in the context of saturated subcutaneous adipose tissue, contributing to beta-cell dysfunction through lipotoxicity, particularly mediated by palmitic acid [14]. This process is termed the twin-cycle hypothesis (hepatic/pancreatic), which some authors consider the primary mechanism in T2D development.
Conversely, peripheral adiposity, characterized by preferential fat storage in the lower body, may act as a metabolic buffer, mitigating the adverse effects of fat excess [39]. The physiological role of subcutaneous adipose tissue as a metabolic sink for excess triglycerides has limitations due to its finite expansion capacity. When unable to expand through preadipocyte hyperplasia to accommodate positive caloric balance, dysfunctional adipocyte hypertrophy occurs, leading to visceral and ectopic fat deposition. A genetically determined personal fat threshold appears to exist; exceeding this threshold increases the likelihood of developing metabolic disorders such as T2D, even when overall BMI is within the normal range [5,40]. The most extreme example of this threshold is total lipodystrophy, in which there is no capacity to store fat in subcutaneous adipose tissue [14].
Given BMI’s limitations as an individual adiposity indicator, complementary anthropometric measures and body composition techniques are recommended. These approaches reveal distinct obesity phenotypes with varying cardiometabolic risk profiles [41] (Table 1). Among individuals with increased visceral fat, intrahepatic fat shows the strongest association with T2D development, supporting the twin-cycle hypothesis [42,43]. The concept of the metabolically healthy person with obesity has, however, been questioned by several researchers. In an epidemiological study of the UK-based THIN database, which included 3.5 million individuals, people with obesity without metabolic alterations had an increased risk of coronary heart disease, cerebrovascular disease, and HF compared to individuals with normal weight and no metabolic alterations [44]. The main limitation of the study is that the diagnosis of obesity was based exclusively on BMI and not on other surrogate indicators of visceral fat, such as WC, or direct measurements of body composition.

2.2. Adipose Tissue as an Active Endocrine Organ

Adipose tissue is not merely a passive fat storage site but an active endocrine organ capable of synthesizing and releasing various bioactive compounds (hormones, chemokines, and cytokines) into circulation, collectively termed adipokines. These affect energy balance, immune responses, vascular homeostasis, angiogenesis, insulin sensitivity, and lipid and carbohydrate metabolism. Dysregulation of adipokines, defined as an imbalance favoring pro-inflammatory over anti-inflammatory compounds, is a hallmark of dysfunctional fat. Pro-inflammatory adipokines, such as leptin, resistin, visfatin, tumor necrosis factor-alpha (TNF-α), IL-1beta, IL-6, and IL-8, among others, increase insulin resistance and exert atherogenic effects. In contrast, adiponectin and IL-10 are considered anti-inflammatory and anti-atherogenic adipokines, whose levels are reduced in visceral obesity [30,38,39].

2.3. Inflammation

In obesity, visceral adipose tissue exhibits elevated levels of pro-inflammatory M1 macrophages compared to subcutaneous fat. Monocyte/macrophage infiltration and activation in adipose tissue are likely initiated by increased adipocyte size, induction, and secretion of chemokines such as MCP-1, which are linked to altered angiogenesis, abnormal vascular development, and increased fibrosis. Infiltrating inflammatory macrophages are the main source of pro-inflammatory mediators, especially TNF-α, within adipose tissue and likely synergize with adipocytes to amplify local inflammation. Hypoxia, fibrosis, and mitochondrial dysfunction in adipose tissue also contribute to diabetes development [33].

2.4. Visceral Obesity, Lipotoxicity, and Beta-Cell Dysfunction

Elevated levels of triglyceride-rich lipoproteins (termed lipotoxicity), pro-thrombotic factors, and inflammatory cytokines in visceral obesity contribute to insulin resistance and glucotoxicity. Along with chronic sympathetic nervous system hyperactivity, this induces metabolic syndrome, accelerating beta-cell dysfunction in genetically predisposed individuals and leading to diabetes development [33,45]. Beta-cell dysfunction involves secretory impairment, apoptosis, and dedifferentiation, although beta-cell dedifferentiation may be reversible with appropriate interventions [14].

3. Heterogeneity vs. Homogeneity in the Pathophysiology of T2D

T2D is widely considered a multifactorial disease, exhibiting substantial heterogeneity in the implicated pathophysiological processes, as noted by several authors [13,46,47]. Currently, approximately 400 genetic variants associated with T2D and 12 pathogenic pathways of hyperglycemia are known, many of which contribute to beta-cell dysfunction, the final common denominator of all forms of diabetes. These pathways include defects in pancreatic alpha and beta cells, amyloid accumulation in the pancreas, insulin resistance in the liver, muscle, and adipose tissue, reduced incretin effect, altered central nervous system regulation of glucose metabolism, gut microbiota alterations, systemic inflammation, immune dysregulation, impaired gastric emptying and/or intestinal glucose absorption due to amylin deficiency, and increased renal glucose reabsorption [13].
Acknowledging this multifactorial nature in the pathogenesis of T2D has significant clinical and therapeutic implications. First, treatment should target the patient’s specific pathogenic abnormalities rather than focusing solely on reducing HbA1c levels. Additionally, since no antihyperglycemic medication addresses all pathophysiological defects, combination therapies are almost always required to achieve and maintain long-term glycemic control. Such treatments should be initiated early in the disease course to prevent progressive beta-cell deterioration and should promote weight loss and improvement of other CV risk factors without increasing the risk of hypoglycemia. Ultimately, this tailored approach should translate into better outcomes, including reduced CV and renal morbidity and mortality [25].
The heterogeneity of T2D has inspired efforts to differentiate patients based on underlying disease mechanisms. A notable example is the phenotypic classification proposed by Ahlqvist et al. in Sweden through the ANDIS study, which has been replicated in other populations. This classification divides patients into five groups or clusters based on six clinical variables: age at diagnosis, BMI, HbA1c, anti-GAD antibodies, HOMA-B, and HOMA-R [48,49] (Table 2). However, this system is limited by its high dependence on the timing of diagnosis [14]. For instance, a quarter of individuals may shift phenotypic clusters over five years. Furthermore, the classification relies on BMI, which, as repeatedly highlighted, is an unreliable measure of dysfunctional adiposity. It also fails to identify patients with monogenic diabetes or other secondary causes of T2D, whose phenotypes often overlap with those of T2D. For example, approximately 5% of patients diagnosed with T2D actually have monogenic diabetes [50,51].
To address the challenge of phenotypic variability over the disease course, Udler et al. proposed a genetic-based classification. This system uses 94 polymorphisms and 47 metabolic variables to define five genetic clusters [52]. The first two clusters (“beta-cell” and “proinsulin” clusters) are associated with beta-cell dysfunction, while the remaining three clusters (“obesity”, “lipodystrophy-like”, and “disrupted liver lipid metabolism”) are characterized by insulin resistance. Interestingly, only the “obesity” cluster is directly linked to obesity.
Recent reviews of evidence related to T2D subclassifications conclude that their clinical applicability remains limited. This limitation is largely due to insufficient discriminatory power at the individual level and challenges in implementing these classifications in routine clinical practice [11,53].
In contrast, other authors argue for a pathophysiologically homogeneous view of T2D in genetically heterogeneous individuals [14]. According to this perspective, individuals with T2D possess a genetic predisposition through susceptibility genes that impair beta-cell function, skeletal muscle insulin sensitivity, and subcutaneous adipose tissue expandability, independent of BMI. In these individuals, a positive caloric balance leads to subcutaneous adipose tissue saturation and ectopic fat deposition in the liver and pancreas, triggering the “twin cycle” that drives T2D. The 12 described pathophysiological alterations appear secondarily once diabetes is established and are potentially reversible if the primary pathogenic twin cycle is interrupted. This conceptualization supports a unified treatment strategy for most patients currently diagnosed with T2D, who could be reclassified as having ARD. The therapeutic focus would shift to weight loss with the aim of normalizing hepatic and pancreatic fat content [54].

4. Diagnosis of ARD

The previously discussed limitations of using BMI to assess adiposity necessitate expanding the evaluation of patients with diabetes through additional indices and complementary tests. Among anthropometric measures, WC is the most widely used. WC has variable cut-off points based on sex and ethnicity and correlates positively with visceral fat content [5]. Other measures, such as the waist-to-hip ratio and waist-to-height ratio, have been proposed. However, these indices have not achieved the same level of acceptance and consensus as WC.
In recent years, morpho-functional assessment—initially developed for evaluating malnourished patients—has gained prominence due to its diagnostic and prognostic utility in metabolic diseases [55,56,57]. This approach involves a set of techniques designed to evaluate not only total fat content but also adipose tissue dysfunction and distribution, muscle mass, and cellular health. The most commonly used method today is bioelectrical impedance analysis (BIA), which enables bioelectrical impedance vector analysis (BIVA). This technique evaluates raw electrical parameters such as resistance and reactance to derive phase angle and body cell mass. BIA provides information on total body water, fat mass, muscle mass, and phase angle, and it presents these metrics graphically in a coordinate system. A low phase angle may serve as a prognostic marker in various comorbidities associated with obesity [56].
Other, less commonly utilized techniques for body composition assessment in clinical practice include air displacement plethysmography and dual-energy X-ray absorptiometry (DEXA). Computed tomography (CT) and magnetic resonance imaging (MRI) can also measure subcutaneous and visceral fat compartments. However, their applicability in routine clinical settings is highly limited [5]. In this context, nutritional ultrasound has emerged as a promising imaging technique. It evaluates both the size and structure of muscles and adipose compartments, including the subcutaneous and visceral compartments, with a particular focus on the preperitoneal region [55].
Functional tests, such as handgrip dynamometry, are available for assessing muscle strength. Reduced muscle strength is a hallmark of sarcopenic obesity and is associated with increased morbidity and mortality, diminished quality of life, and functional impairments [58].
Lastly, laboratory tests are especially valuable for ruling out other forms of diabetes unrelated to adiposopathy and for assessing various components of the metabolic syndrome. A summary of diagnostic and monitoring tools available for clinical use is provided in Table 3.

5. Importance of Weight Loss in the Remission of ARD

The term “remission”, borrowed by diabetologists from oncology, is considered more appropriate than alternatives such as “resolution”, “reversal”, or “cure”. Remission indicates that T2D is neither active nor progressive at that moment but that the individual requires ongoing monitoring due to the potential for disease relapse during follow-up [59]. The definition implies that the individual is not taking medications with clinically relevant antihyperglycemic effects, and at least three months have passed since the discontinuation of such medications or bariatric surgery (BS), as HbA1c reflects glycemic control over the preceding three months [60,61]. The clinical significance of achieving diabetes remission was underscored in the long-term follow-up of patients in the LOOK-AHEAD study, where remission was associated with a 33% reduction in chronic kidney disease (CKD) incidence and a 40% reduction in CV disease compared to those who did not achieve remission [62].
If the twin hepatic/pancreatic cycle hypothesis is correct, weight loss interventions that reduce fat deposits in the liver and pancreas could reverse the pathogenic process and even achieve diabetes remission [54]. In the COUNTERPOINT study, 11 individuals with T2D were evaluated after eight weeks of a very low-calorie diet (600 kcal/day) [63]. This intervention normalized beta-cell function and hepatic insulin sensitivity, which was associated with a decrease in pancreatic and hepatic triglyceride stores. The DIRECT study in the UK randomized 306 individuals with T2D (duration < 6 years, no insulin therapy, BMI 27–45 kg/m2) to usual care for T2D or intervention through caloric restriction (approximately 850 kcal/day) for 3–5 months using commercial formulas, followed by a gradual reintroduction of a conventional hypocaloric diet [64]. The goals were a weight reduction higher than 15 kg and T2D remission. After 12 months, 24% of the intervention group versus 0% of the control group had lost more than 15 kg, while 46% versus 4% achieved T2D remission (p < 0.0001). This remission percentage increased with greater weight loss, reaching 86% among patients who lost more than 15 kg. At two years of follow-up, the remission rate dropped to 36% [65]. DIRECT confirmed that weight loss reduced de novo lipogenesis to normal levels, as well as intrapancreatic fat content [66]. The total mass of functional beta cells gradually returned to rates similar to those of a matched non-diabetic control group over 12 months and remained stable at 24 months. The DIRECT study results have been replicated in other studies with different populations and similar designs, even among individuals with BMI below 27 kg/m2 [14,67,68].
A five-year extension of the DIRECT study involving 85 participants revealed partial weight regain, with a mean sustained weight loss of 6.1 kg and a decline in the remission rate to 13% [69]. These results highlight the challenges of long-term weight maintenance and support the use of medications to sustain weight loss and achieve “drug-induced remission”.
Currently, three drug classes approved for T2D treatment exhibit high antihyperglycemic efficacy and promote weight and visceral fat loss: SGLT-2is, GLP-1RAs, and the dual GLP-1/GIP agonist tirzepatide [70,71,72,73,74,75]. Based on the HbA1c threshold included in the definition of diabetes remission (HbA1c below 6.5%), 53% and 24% of patients assigned to semaglutide 1 mg and canagliflozin 300 mg achieved this target in the SUSTAIN 8 study [71], 67.5% with semaglutide 2.4 mg in the STEP-2 trial [74], and 80% with 10–15 mg tirzepatide in SURMOUNT-2 [75]. Tirzepatide also enabled a significant percentage of patients to achieve normoglycemia, with 43–62% attaining HbA1c below 5.7% in the SURPASS program [76].
MS is recommended for patients with T2D and BMI above 30 kg/m2 who have not achieved glycemic or weight loss goals through lifestyle and pharmacological interventions [23,77,78]. Randomized controlled trials have demonstrated higher remission rates with MS vs. standard medical care, particularly with malabsorptive techniques like gastric bypass and biliopancreatic diversion [79,80,81,82,83,84]. For example, in one study, 95% of patients undergoing biliopancreatic diversion and 75% with gastric bypass achieved remission at 5 years, compared to 0% in the medical treatment group [85]. At 10 years, these rates declined to 50% and 25%, respectively. Data from the Swedish Obese Subjects (SOS) study over 15 years [86] and meta-analyses [82] report long-term remission rates of ~30%, with MS, alongside reductions in micro- and macrovascular complications and all-cause mortality.
Baseline predictors of remission after surgery include beta-cell health markers such as age, T2D duration, insulin use, C-peptide levels, and HbA1c [79]. Mechanisms underlying remission through surgery are multifactorial, including weight loss, enhanced nutrient delivery to the distal intestine, resolution of hepatic and pancreatic steatosis, increased anorexigenic gut hormone secretion, altered bile acid circulation, and gut microbiota changes [87,88].
Patients achieving remission through weight loss or surgery remain in a “post-diabetes” state requiring vigilance due to relapse risk, persistent elevated CV risk, and potential long-term complications from glycemic memory effects. For patients failing to achieve remission or experiencing relapse, chronic antihyperglycemic treatment should prioritize weight loss. Ethical dilemmas arise regarding the discontinuation of CV and renal-protective therapies like GLP-1RAs and SGLT-2is after MS in high CV-renal risk individuals. To address this, the concept of “drug-induced” or “drug-sensitive” remission has emerged, where normoglycemia is maintained with antihyperglycemic agents mimicking caloric restriction, such as GLP-1RAs, dual GLP-1/GIP agonists, and SGLT-2is [61].

6. Importance of Weight Loss in Metabolic Control and Cardiorenal Protection in Patients with ARD

As discussed in the previous section, weight loss achieved through caloric restriction—via lifestyle modification, pharmacotherapy, or bariatric surgery—reduces intrahepatic fat, insulin resistance, hepatic glucose production, circulating triglycerides, and their accumulation in pancreatic islets. The resolution of pancreatic steatosis fosters the redifferentiation of beta cells, which were dedifferentiated but not dead due to fat accumulation, leading to the normalization of pancreatic endocrine function. These effects are most pronounced with weight loss exceeding 15% of baseline body weight [66]. Moderate weight losses (5–15%) reduce glucolipotoxicity, thereby improving insulin sensitivity, glycemic control, blood pressure, lipid profiles, and reducing the need for antihyperglycemic medications [14,23,27].
Growing evidence underscores the broader benefits of weight reduction. A body weight loss of more than 10% has been shown to ameliorate metabolic comorbidities, reduce CV morbidity and mortality, improve metabolic-associated steatotic liver disease, alleviate sleep apnea, and enhance overall quality of life [23]. For instance, a subanalysis of the LOOK-AHEAD study, which did not achieve primary CV superiority, revealed that T2D patients who lost more than 10% of their baseline weight in the first year experienced a significant 21% reduction in CV morbidity and mortality compared to those who did not lose weight [89]. Similarly, a meta-analysis demonstrated that MS in patients with T2D significantly reduced microvascular and macrovascular complications and all-cause mortality compared to non-surgical treatments [82].
The general target for patients with ARD should be a weight loss of at least 10–15% within 6–12 months of intervention. This should be accompanied by reductions in WC and fat mass, as assessed if available through body composition analysis, while preserving muscle mass and function. After reaching a weight-loss plateau, the impact on diabetes and other cardiometabolic risk factors should be re-evaluated. If control targets are not achieved, treatment should be intensified to facilitate further weight loss [23,27].

6.1. Lifestyle Modification

Patients should be enrolled in a structured lifestyle intervention program aimed at weight loss, incorporating a healthy eating plan, physical activity, and behavioral intervention. These programs can be delivered in primary care or specialized care settings, depending on the severity of obesity [23,27]. When feasible, interventions should include high-frequency counseling (at least 16 sessions within six months), focusing on dietary changes, physical activity, and behavioral strategies to create an energy deficit of 500–750 kcal/day [27]. While international guidelines do not prioritize specific dietary patterns for patients with diabetes and overweight/obesity [90], some studies highlight the benefits of a Mediterranean diet, which can be introduced at the outset or following a very-low-calorie diet aimed at achieving diabetes remission [13].
The Mediterranean diet is characterized by a high intake of fruits, vegetables, legumes, whole grains, fish, and unsaturated fats (particularly olive oil), moderate consumption of alcohol (mainly wine, preferably during meals), and low intake of red meat, dairy products, and saturated fats. A meta-analysis demonstrated superior glycemic control with a Mediterranean diet compared to other dietary patterns [91]. In the PREDIMED trial conducted in Spain, 7447 participants at high CV risk (approximately half with T2D) but without established CV disease were randomized to one of three groups: a Mediterranean diet supplemented with extra virgin olive oil, a Mediterranean diet supplemented with nuts, or a low-fat diet recommended by the American Heart Association [92]. After five years, the Mediterranean diet with olive oil reduced CV morbidity and mortality (myocardial infarction, stroke, or CV death) by 31% and the diet with nuts reduced these outcomes by 28%, compared to the low-fat diet. These benefits extended to the T2D subgroup. Additionally, the Mediterranean diet reduced T2D incidence by 52% compared to the low-fat diet. Notably, the PREDIMED diets were ad libitum, with no physical activity promotion or weight loss guidance. The mechanisms behind the association between adherence to the traditional Mediterranean diet and reduced CV risk may include decreased low-grade inflammation, higher adiponectin levels, lower coagulability, improved endothelial function, reduced oxidative stress, lower concentrations of atherogenic lipoproteins, decreased oxidized LDL particles, and reduced macrophage uptake of oxidized LDL [93].
While the PREDIMED study provides valuable insight into the potential benefits of dietary interventions in patients with high CV risk (with and without T2D), its direct applicability to ARD remains uncertain. Nevertheless, it is biologically plausible that similar mechanisms underlying the efficacy of the Mediterranean diet in the PREDIMED population may translate to benefits for individuals with ARD. Further research is warranted to confirm the CV effects of the Mediterranean diet in this specific population. The ongoing PREDIMED-PLUS trial, a multicenter, randomized study of primary CV prevention, includes 6874 participants with a BMI of 27–40 kg/m2 and metabolic syndrome [94]. Participants have been randomized to two groups: a control group following a Mediterranean diet supplemented with extra virgin olive oil and nuts without calorie restriction or physical activity guidance, and an intensive intervention group adhering to a hypocaloric Mediterranean diet (30% calorie restriction) supplemented with olive oil and nuts, alongside an intensive lifestyle program promoting physical activity (e.g., 45 min of daily walking) and weight loss goals with behavioral therapy. The primary objective is to demonstrate a reduction in CV morbidity and mortality with the intensive intervention. Weight loss goals include an average reduction in body weight and WC of over 8% and 5%, respectively, within the first six months, sustained over the following 7.5 years.
For patients with overweight or obesity and T2D, a Mediterranean diet similar to that of the PREDIMED study can be recommended, with adaptations from PREDIMED-PLUS to promote weight loss.
Regular moderate-to-intense physical activity offers significant benefits for metabolic control and CV risk factors in T2D [90,95,96]. Intervention programs improve glycemic control, with the most significant effects seen when resistance and aerobic exercises are combined. Higher total physical activity levels are associated with reduced CV and all-cause mortality compared to lower levels.
While physical activity alone has a modest effect on weight loss, when combined with a hypocaloric diet, it enhances fat loss while preserving lean mass. Sustained physical activity helps prevent weight regain. Aerobic and resistance training improve insulin sensitivity, glycemic control, lipid profiles, and blood pressure, supporting weight management efforts. For sedentary individuals, initiating moderate exercise is recommended, with pedometers as a practical tool to track progress toward a goal of 10,000–15,000 steps per day. Guidelines recommend at least 150 min per week of moderate-intensity aerobic exercise, along with two weekly resistance training sessions (8–12 repetitions × 3 sets per muscle group). Additional benefits can be achieved by gradually increasing to 300 min of moderate-intensity aerobic exercise or 150 min of high-intensity exercise weekly. A clinical evaluation, including stress testing, is advisable for sedentary individuals with CV risk factors who plan to engage in high-intensity exercise [97].

6.2. Antihyperglycemic Drugs with Weight and Cardiorenal Benefits

In recent years, two therapeutic classes of antihyperglycemic drugs—GLP-1RAs and SGLT-2is—have demonstrated significant efficacy not only in glycemic control but also in promoting weight loss and reducing CV and renal morbidity and mortality in patients with T2D (Table 4) [24,98,99,100,101,102,103,104,105]. These drugs have complementary mechanisms of action and are currently recommended for combined use [70,106,107,108,109,110,111]. Meta-analyses have shown that both classes provide substantial CV and renal protection. GLP-1RAs reduce major adverse CV events (MACE) by 14%, CV death by 13%, all-cause mortality by 12%, myocardial infarction by 10%, stroke by 17%, hospitalizations for HF by 11%, and CKD progression by 21% [98]. SGLT-2is similarly reduce MACE by 12%, CV death by 15%, all-cause mortality by 14%, myocardial infarction by 11%, hospitalizations for HF by 32%, and CKD progression by 36%, although they do not significantly reduce the risk of stroke [99,100].
SGLT-2is are a class of orally administered drugs that induce the elimination of 60–80 g of glucose per day in the urine, with glucosuria reaching up to 120 g/day at high doses of canagliflozin [24,106,107,108]. Unlike other glucose-lowering agents (which are highly specific for SGLT-2), canagliflozin at a dose of 300 mg transiently inhibits SGLT-1 in the intestine (responsible for the absorption of glucose and galactose), reducing postprandial glucose levels and stimulating distal secretion of GLP-1 and PYY, likely due to the metabolism of glucose by the microbiota into short-chain fatty acids and the stimulation of intestinal L cells. This effect may explain differences in efficacy (HbA1c, weight, a d blood pressure [BP]) between canagliflozin 300 mg and other SGLT-2is [112].
Glucosuria associated with SGLT-2is reduces fasting glucose, postprandial glucose, and HbA1c levels while promoting weight loss through calorie excretion, particularly targeting visceral adipose tissue. Compensatory metabolic responses, such as transient increases in glucagon secretion and hepatic glucose production, may occur [24,106,107,108]. Additionally, SGLT-2is induce a pseudo-fasting state that activates nutrient deprivation pathways, autophagy, and cytoprotection via sirtuins and adenosine monophosphate–activated protein kinase (AMPK), leading to increased ketogenesis and hematocrit [113]. Uric acid excretion is facilitated through glucose exchange in the kidney (via GLUT-9), reducing serum uric acid levels. Mild natriuresis and osmotic diuresis (approximately 300 mL/day) further contribute to significant reductions in both systolic and diastolic BP.
The CV benefits of SGLT-2is are attributed to three main mechanisms [107,113]:
  • Metabolic effects: Reduction in glucotoxicity, visceral fat, and uric acid levels;
  • Hemodynamic effects: Lowered preload (volemia) and afterload (BP);
  • Direct myocardial effects: Activation of nutrient deprivation signals, inhibition of the myocardial sodium-hydrogen exchanger type 1 (NHE-1), and reduction of myocardial fibrosis and pro-inflammatory adipokines derived from epicardial and perivascular fat.
Similarly, SGLT-2is exhibit protective effects on renal function through [107,108,113]:
  • Metabolic mechanisms: Reductions in glucotoxicity, peri-/intrarenal fat, and activation of nutrient deprivation pathways;
  • Systemic hemodynamic effects: Decreased systolic BP transmitted to the kidney;
  • Intrarenal hemodynamic effects: Restoration of tubule-glomerular feedback;
  • Tubulointerstitial mechanisms: Reduced glucotoxicity, proteinuria, and activation of anti-inflammatory and antifibrotic pathways.
GLP-1RAs are a pharmacological class of peptides that activate the human GLP-1 receptor [109,110,111]. Activation of this receptor not only lowers blood glucose levels by stimulating insulin secretion from beta cells, but also reduces glucagon secretion from alpha cells through the promotion of paracrine somatostatin secretion from delta cells. Importantly, these drugs do not induce hypoglycemia, as their effects are self-limiting at low plasma glucose levels. The weight and fat loss associated with GLP-1RAs is attributed to their anorexigenic effects, mediated by receptors in various regions of the central nervous system, including the arcuate nucleus of the hypothalamus and the mesolimbic reward circuit.
Unlike SGLT-2is, the risk curves for atherosclerotic CV events with GLP-1RAs diverge slowly. This progressive effect resembles that observed with other cardioprotective drugs such as statins and appears to be mediated by anti-atherosclerotic and anti-inflammatory mechanisms [109,110,111]. GLP-1RAs confer cardioprotection through:
  • Direct mechanisms: Improved coronary vascularization, vasodilation, anti-inflammatory and antioxidant effects, enhanced endothelial function, inhibition of smooth muscle proliferation, plaque stabilization, and increased ischemia tolerance;
  • Indirect mechanisms: Reduced glucotoxicity and lipotoxicity, improved myocardial glucose utilization, lowered BP, and decreased inflamed epicardial fat.
Renal protection with GLP-1RAs involves:
  • Systemic effects: Reduced glucotoxicity, body weight, and systolic BP;
  • Hemodynamic effects: Inhibition of NHE-3 in the proximal tubule, inducing natriuresis and restoring tubule-glomerular feedback;
  • Anti-inflammatory effects: Reduced proteinuria and activation of antifibrotic pathways.
The recent approval of tirzepatide, a dual GLP-1 and GIP receptor agonist, has expanded therapeutic options for T2D and obesity [114,115]. Both GIP and GLP-1 play roles in regulating food intake by stimulating neurons in the brain’s satiety center. They also stimulate insulin secretion from pancreatic beta cells, but their effects on glucagon production by pancreatic alpha cells differ: GIP exerts a glucagonotropic effect during hypoglycemia, while GLP-1 exhibits a glucagonostatic effect during hyperglycemia. Additionally, GIP directly stimulates lipogenesis, whereas GLP-1 indirectly promotes lipolysis, collectively maintaining healthy adipocytes, reducing ectopic fat distribution, and increasing adiponectin production and secretion by adipocytes. Together, these two incretins contribute to metabolic homeostasis, preventing hyperglycemia and hypoglycemia while mitigating dyslipidemia [115]. For some authors, the effect of tirzepatide on GIP receptors remains unclear, as the drug favors their downregulation, acting more like a functional antagonist [116], as evidenced by the greater reduction in plasma glucagon with tirzepatide in T2D patients compared to dulaglutide [117]. At the time of writing, the SURPASS-CVOT CV safety trial comparing tirzepatide to dulaglutide has not yet been completed.
Comparative studies of these three therapeutic families conclude that the dual GLP-1/GIP agonist tirzepatide is currently the most effective drug for glycemic control and weight loss, followed by GLP-1RAs and SGLT-2is [71,118]. All three therapeutic groups have a visceral fat-reducing effect [72,73]. A recent meta-analysis further supports the superiority of GLP-1-based therapies over basal insulin in achieving better glycemic control and weight and BP outcomes [119], underscoring the benefits of an adipocentric pharmacological approach for both glycemic and weight management.
The clinical trials included in this review have been conducted in outpatient settings. Evidence regarding the use of GLP-1 RAs in hospitalized patients remains limited, primarily derived from research studies and selected populations of medically stable individuals. For patients with T2D hospitalized due to HF, it is recommended to initiate or continue treatment with a SGLT2i during hospitalization and upon discharge, provided there are no contraindications, and the patient has recovered from the acute illness [120].

6.3. Metabolic Surgery

A prior section reviewed the role of MS in achieving remission of type 2 diabetes (T2D) [79,80,81,82]. However, not all patients achieve remission in the short term, and approximately two-thirds of individuals undergoing surgery—particularly those with more advanced diabetes—experience persistence or recurrence of the disease over the long term [85,86]. Nevertheless, these patients generally exhibit improved glycemic control following the intervention, reduced reliance on antihyperglycemic agents, including insulin, and enhanced blood pressure and lipid profiles. These improvements are associated with a lower risk of microvascular and macrovascular complications, as well as reduced mortality [81,82]. For example, in a randomized clinical trial, insulin use at 10 years was 53.3% in the medical treatment group, 5% in the gastric bypass group, and 0% in the biliopancreatic diversion group [85].
In patients with established CV disease, HF or CKD, continuation of GLP-1RAs and SGLT-2is may be recommended after MS due to their cardio- and nephroprotective effects, regardless of diabetes status. Additionally, in patients who experience persistence or recurrence of diabetes following MS, liraglutide, a GLP-1 RA, demonstrated efficacy and safety in clinical trials and may help prevent long-term weight regain [121,122]. However, no published clinical trials have evaluated the use of SGLT-2is or tirzepatide after MS.
Recent clinical trials and meta-analyses suggest that long-term glycemic and weight outcomes are superior in T2D patients who undergo gastric bypass compared to those who undergo sleeve gastrectomy [83,84,123,124,125]. As a result, gastric bypass is currently considered the preferred surgical technique.

7. Proposed Therapeutic Strategy for Patients with ARD

Current international guidelines recommend individualizing therapeutic strategies for patients with T2D based on their disease phenotype. These guidelines advocate for a weight-centered strategy for diabetes associated with excess weight, a glucose-centered strategy for beta-cell dysfunction, and a complication-centered strategy when CV disease, HF, or CKD is present [27,70]. However, after reviewing the available evidence, it is apparent that most patients currently categorized as having T2D actually have ARD. These individuals would benefit from an adipocentric strategy (beyond weight-centric), integrating both glucocentric and cardio-nephrocentric approaches [15,25,28] (Figure 1).
The use of additional indices and diagnostic tools, such as WC, body fat percentage via bioimpedance, metabolic syndrome criteria, or specific tests for fatty liver disease diagnosis, is likely to reduce the proportion of patients without ARD to a small figure [14]. For patients with normal weight and WC, differential diagnosis should include measuring anti-GAD antibodies, stimulated C-peptide, and utilizing online calculators for monogenic diabetes risk (e.g., diabetesgenes.org/exeter-diabetes-app/ModyCalculator) [12]. Autoimmune diabetes should be particularly suspected in individuals under 35 years of age with a BMI below 25 kg/m2, a personal or family history of autoimmune diseases (including type 1 diabetes), or treatment with immunomodulatory drugs that could precipitate autoimmune diabetes.
The primary goal of the adipocentric strategy, which will guide treatment intensification decisions, would not be HbA1c but rather achieving a weight loss of at least 10%, preferably 15%, along with a reduction in WC and body fat percentage [14,27]. This degree of weight reduction can lead to disease remission in patients with a shorter disease duration and, in others, to a higher degree of glycemic control than is achieved with the classic glucose-centric strategy, given the superior efficacy of new drugs, alongside CV and renal benefits.
Treatment for ARD combines lifestyle modification with weight-loss-promoting drugs such as SGLT-2is and GLP-1-based therapies (monoagonists and dual GLP-1/GIP agonists), either sequentially or simultaneously (Figure 2). BMI and HbA1c levels guide initial treatment intensity, such as using combination pharmacotherapy upfront or selecting the most potent agents [24]. For patients with established CV or renal complications, drugs with proven benefits in randomized clinical trials should be prioritized. Meta-analyses of clinical trials suggest additive CV and renal benefits from combining GLP-1RAs and SGLT-2is [126,127,128].
Therapeutic intensification with GLP-1RAs may involve transitioning to more effective agents within the class, escalating doses (e.g., semaglutide 2.4 mg), or switching to tirzepatide [70]. For patients on SGLT-2is, intensification may include using the highest dose of canagliflozin (300 mg/day), although this approach is supported mainly by observational data [112,129]. Metformin is recommended as third-line therapy if glycemic control targets remain unmet. For patients failing to achieve weight-loss or glycemic goals, MS is indicated, with GLP-1RAs and SGLT-2is potentially continued postoperatively depending on the patient’s progress and clinical profile.
Pharmacological deintensification should be considered for patients reevaluated years after a T2D diagnosis [70]. For those on metformin, it may be maintained due to its benefits for glycemic control without causing weight gain or hypoglycemia. However, weight loss achieved through lifestyle interventions and GLP-1- or SGLT-2-based therapies may permit discontinuation of medications that promote weight gain and/or hypoglycemia (e.g., sulfonylureas, glinides, pioglitazone, and insulin) or that lack CV or renal benefits (all the aforementioned plus DPP-4 inhibitors) [24,70]. For instance, a recent study comparing tirzepatide to preprandial insulin lispro in patients with T2D treated with insulin glargine (mean dose 46 U/day) demonstrated that patients receiving tirzepatide (15 mg dose) ended the study with an average glargine dose of only 8 U/day (versus 112 U/day in the lispro group). This group also achieved better glycemic control, greater weight loss, and fewer hypoglycemic episodes compared to those on basal-bolus insulin therapy [130].
In cases where patients diagnosed with ARD show unfavorable glycemic progression, alternative diabetes etiologies should be suspected. At this point, it may be necessary to revisit or expand the differential diagnosis (Table 3) and reclassify the patient’s diabetes type. This could necessitate specific treatments, such as insulin for autoimmune diabetes or sulfonylureas for certain monogenic diabetes forms [70].
While lifestyle modifications, weight-loss medications, and MS are effective strategies for managing ARD, sustaining long-term weight loss remains a significant challenge. Evidence indicates that a significant proportion of individuals who achieve weight loss through lifestyle modifications eventually regain much, if not all, of the lost weight due to hormonal and metabolic adaptations that promote a positive energy balance [27]. This weight regain can have adverse implications for long-term ARD remission, as the reaccumulation of fat mass may lead to the reactivation of pathogenic mechanisms underlying the disease. These observations highlight the importance of adopting a long-term, multimodal approach to ARD management. Such an approach should include sustained lifestyle support, chronic pharmacotherapy, and ongoing follow-up in patients with and without MS in order to mitigate the risk of weight regain and diabetes relapse.
Social determinants of health, including socioeconomic status, education level, access to healthcare, and systemic inequities, play a pivotal role in the prevalence, progression, and outcomes of obesity and ARD, particularly among marginalized populations. Vulnerable groups such as minoritized racial/ethnic communities and individuals with low income often face compounded barriers to achieving optimal metabolic health due to limited access to nutritious foods, safe spaces for physical activity, and comprehensive medical care [131]. These disparities are further exacerbated by stigmatization of obesity, which undermines trust in healthcare systems and engagement in long-term care. An adipocentric approach to managing ARD provides an opportunity to address these inequities by prioritizing interventions that target the root cause of disease—excess adiposity—through culturally tailored, community-based, and patient-centered strategies. By focusing on underlying mechanisms rather than solely glycemic control, this paradigm has the potential to mitigate the disproportionate burden of ARD among vulnerable populations, improve health outcomes, and advance equity in diabetes care. Efforts should focus on ensuring fair access to effective interventions on ARD to avoid deepening healthcare disparities.

8. Conclusions

The recognition that most patients currently diagnosed with T2D actually have diabetes induced by dysfunctional excess body fat invites consideration of a shift in nomenclature, potentially to ARD. At present, diagnostic tools are available to identify the minority of individuals with T2D whose disease etiology differs and who therefore require alternative therapeutic strategies. An adipocentric approach, centered on reducing weight and dysfunctional body fat, represents the optimal strategy for ARD due to its efficacy in achieving disease remission, improving metabolic control, addressing obesity-related comorbidities, and reducing CV and renal morbidity and mortality.
We do not need to choose between a glucocentric, adipocentric, or cardio-nephrocentric strategy. An adipocentric therapeutic algorithm driven by weight loss exceeding 10–15% can effectively integrate all three approaches. In the coming years, the development and commercialization of new oral GLP-1RAs [132], GLP-1RAs in higher-dose formulations [133], dual GLP-1/glucagon agonists [134], triagonists targeting GLP-1/GIP/glucagon pathways [135], and combinations of GLP-1RAs with amylin mimetics [136] are expected to make achieving weight loss levels currently attainable only through MS more feasible.
However, therapeutic inertia, delays in the implementation of guidelines into clinical practice, and socioeconomic and healthcare disparities across different regions of the world [137] are likely to remain significant challenges for these recommendations in the coming years.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Conflicts of Interest

Juan J. Gorgojo-Martínez has the following financial relationships: advisor on scientific boards for Amgen, Astra-Zeneca, Bayer, Boehringer Ingelheim Pharmaceuticals Inc., and Novo-Nordisk; lectures for Amarin, Astra-Zeneca, Boehringer Ingelheim Pharmaceuticals Inc., Menarini, and Novo-Nordisk, and research activities for Astra-Zeneca, Mundipharma Pharmaceuticals, and NovoNordisk.

References

  1. GBD 2021 Risk Factors Collaborators. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: A systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024, 403, 2162–2203. [Google Scholar] [CrossRef]
  2. Sun, H.; Saeedi, P.; Karuranga, S.; Pinkepank, M.; Ogurtsova, K.; Duncan, B.B.; Stein, C.; Basit, A.; Chan, J.C.N.; Mbanya, J.C.; et al. IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res. Clin. Pract. 2022, 183, 109119. [Google Scholar] [CrossRef]
  3. Palmer, M.K.; Toth, P.P. Trends in Lipids, Obesity, Metabolic Syndrome, and Diabetes Mellitus in the United States: An NHANES Analysis (2003–2004 to 2013–2014). Obesity 2019, 27, 309–314. [Google Scholar] [CrossRef]
  4. Caspard, H.; Jabbour, S.; Hammar, N.; Fenici, P.; Sheehan, J.J.; Kosiborod, M. Recent trends in the prevalence of type 2 diabetes and the association with abdominal obesity lead to growing health disparities in the USA: An analysis of the NHANES surveys from 1999 to 2014. Diabetes Obes. Metab. 2018, 20, 667–671. [Google Scholar] [CrossRef]
  5. Neeland, I.J.; Ross, R.; Després, J.P.; Matsuzawa, Y.; Yamashita, S.; Shai, I.; Seidell, J.; Magni, P.; Santos, R.D.; Arsenault, B.; et al. Visceral and ectopic fat, atherosclerosis, and cardiometabolic disease: A position statement. Lancet Diabetes Endocrinol. 2019, 7, 715–725. [Google Scholar] [CrossRef]
  6. National Diabetes Statistics Report. Available online: https://www.cdc.gov/diabetes/php/data-research/index.html (accessed on 19 December 2024).
  7. Mata-Cases, M.; Franch-Nadal, J.; Real, J.; Cedenilla, M.; Mauricio, D. Prevalence and coprevalence of chronic comorbid conditions in patients with type 2 diabetes in Catalonia: A population-based cross-sectional study. BMJ Open 2019, 9, e031281. [Google Scholar] [CrossRef]
  8. Gómez-Ambrosi, J.; Silva, C.; Galofré, J.C.; Escalada, J.; Santos, S.; Gil, M.J.; Valentí, V.; Rotellar, F.; Ramírez, B.; Salvador, J.; et al. Body adiposity and type 2 diabetes: Increased risk with a high body fat percentage even having a normal BMI. Obesity 2011, 19, 1439–1444. [Google Scholar] [CrossRef]
  9. Taylor, R.; Holman, R.R. Normal weight individuals who develop type 2 diabetes: The personal fat threshold. Clin. Sci. 2015, 128, 405–410. [Google Scholar] [CrossRef]
  10. Stokes, A.; Preston, S.H. The contribution of rising adiposity to the increasing prevalence of diabetes in the United States. Prev. Med. 2017, 101, 91–95. [Google Scholar] [CrossRef]
  11. Tobias, D.K.; Merino, J.; Ahmad, A.; Aiken, C.; Benham, J.L.; Bodhini, D.; Clark, A.L.; Colclough, K.; Corcoy, R.; Cromer, S.J.; et al. Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine. Nat. Med. 2023, 29, 2438–2457. [Google Scholar] [CrossRef]
  12. American Diabetes Association Professional Practice Committee. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2025. Diabetes Care 2025, 48, S27–S49. [Google Scholar] [CrossRef] [PubMed]
  13. Ahmad, E.; Lim, S.; Lamptey, R.; Webb, D.R.; Davies, M.J. Type 2 diabetes. Lancet 2022, 400, 1803–1820. [Google Scholar] [CrossRef] [PubMed]
  14. Taylor, R. Understanding the cause of type 2 diabetes. Lancet Diabetes Endocrinol. 2024, 12, 664–673. [Google Scholar] [CrossRef] [PubMed]
  15. Gorgojo Martínez, J.J. Glucocentrismo o adipocentrismo: Una visión crítica de los consensos y guías clínicas para el tratamiento de la diabetes mellitus tipo 2 [Glucocentricity or adipocentricity: A critical view of consensus and clinical guidelines for the treatment of type 2 diabetes mellitus]. Endocrinol. Nutr. 2011, 58, 541–549. [Google Scholar]
  16. Kahn, S.E.; Haffner, S.M.; Heise, M.A.; Herman, W.H.; Holman, R.R.; Jones, N.P.; Kravitz, B.G.; Lachin, J.M.; O’Neill, M.C.; Zinman, B.; et al. Glycemic durability of rosiglitazone, metformin, or glyburide monotherapy. N. Engl. J. Med. 2006, 355, 2427–2443. [Google Scholar] [CrossRef]
  17. Nissen, S.E.; Wolski, K. Effect of rosiglitazone on the risk of myocardial infarction and death from cardiovascular causes. N. Engl. J. Med. 2007, 356, 2457–2471. [Google Scholar] [CrossRef] [PubMed]
  18. Action to Control Cardiovascular Risk in Diabetes Study Group; Gerstein, H.C.; Miller, M.E.; Byington, R.P.; Goff, D.C., Jr.; Bigger, J.T.; Buse, J.B.; Cushman, W.C.; Genuth, S.; Ismail-Beigi, F.; et al. Effects of intensive glucose lowering in type 2 diabetes. N. Engl. J. Med. 2008, 358, 2545–2559. [Google Scholar]
  19. Ray, K.K.; Seshasai, S.R.; Wijesuriya, S.; Sivakumaran, R.; Nethercott, S.; Preiss, D.; Erqou, S.; Sattar, N. Effect of intensive control of glucose on cardiovascular outcomes and death in patients with diabetes mellitus: A meta-analysis of randomised controlled trials. Lancet 2009, 373, 1765–1772. [Google Scholar] [CrossRef]
  20. Samson, S.L.; Vellanki, P.; Blonde, L.; Christofides, E.A.; Galindo, R.J.; Hirsch, I.B.; Isaacs, S.D.; Izuora, K.E.; Low Wang, C.C.; Twining, C.L.; et al. American Association of Clinical Endocrinology Consensus Statement: Comprehensive Type 2 Diabetes Management Algorithm—2023 Update. Endocr. Pract. 2023, 29, 305–340. [Google Scholar] [CrossRef]
  21. UKPDS Group. Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34). UK Prospective Diabetes Study (UKPDS) Group. Lancet 1998, 352, 854–865. [Google Scholar] [CrossRef]
  22. Griffin, S.J.; Leaver, J.K.; Irving, G.J. Impact of metformin on cardiovascular disease: A meta-analysis of randomised trials among people with type 2 diabetes. Diabetologia 2017, 60, 1620–1629. [Google Scholar] [CrossRef] [PubMed]
  23. American Diabetes Association Professional Practice Committee. 8. Obesity and Weight Management for the Prevention and Treatment of Type 2 Diabetes: Standards of Care in Diabetes-2025. Diabetes Care 2025, 48, S167–S180. [Google Scholar] [CrossRef] [PubMed]
  24. Castro Conde, A.; Marzal Martín, D.; Campuzano Ruiz, R.; Fernández Olmo, M.R.; Morillas Ariño, C.; Gómez Doblas, J.J.; Gorriz Teruel, J.L.; Mazón Ramos, P.; García-Moll Marimon, X.; Soler Romeo, M.J.; et al. Comprehensive Cardiovascular and Renal Protection in Patients with Type 2 Diabetes. J. Clin. Med. 2023, 12, 3925. [Google Scholar] [CrossRef] [PubMed]
  25. Gorgojo Martínez, J.J. Relevance of weight in the management of patients with type 2 diabetes mellitus: Towards an adipocentric approach to diabetes. Med. Clin. 2016, 147, 8–16. [Google Scholar] [CrossRef]
  26. Muzurović, E.; Dragnić, S.; Medenica, S.; Smolović, B.; Bulajić, P.; Mikhailidis, D.P. Weight-centric pharmacological management of type 2 diabetes mellitus—An essential component of cardiovascular disease prevention. J. Diabetes Complicat. 2020, 34, 107619. [Google Scholar] [CrossRef]
  27. Lingvay, I.; Sumithran, P.; Cohen, R.V.; le Roux, C.W. Obesity management as a primary treatment goal for type 2 diabetes: Time to reframe the conversation. Lancet 2022, 399, 394–405. [Google Scholar] [CrossRef]
  28. Koufakis, T.; Liberopoulos, E.N.; Kokkinos, A.; Zebekakis, P.; Kotsa, K. Weight Loss Versus Glycemic Control as the Primary Treatment Target in Newly Diagnosed Type 2 Diabetes: Why Choose When You Can Have Both? Drugs 2023, 83, 469–477. [Google Scholar] [CrossRef]
  29. Arsenault, B.J.; Carpentier, A.C.; Poirier, P.; Després, J.P. Adiposity, type 2 diabetes and atherosclerotic cardiovascular disease risk: Use and abuse of the body mass index. Atherosclerosis 2024, 394, 117546. [Google Scholar] [CrossRef]
  30. Artasensi, A.; Mazzolari, A.; Pedretti, A.; Vistoli, G.; Fumagalli, L. Obesity and Type 2 Diabetes: Adiposopathy as a Triggering Factor and Therapeutic Options. Molecules 2023, 28, 3094. [Google Scholar] [CrossRef]
  31. Michaelidou, M.; Pappachan, J.M.; Jeeyavudeen, M.S. Management of diabesity: Current concepts. World J. Diabetes 2023, 14, 396–411. [Google Scholar] [CrossRef]
  32. Gallagher, D.; Heymsfield, S.B.; Heo, M.; Jebb, S.A.; Murgatroyd, P.R.; Sakamoto, Y. Healthy percentage body fat ranges: An approach for developing guidelines based on body mass index. Am. J. Clin. Nutr. 2000, 72, 694–701. [Google Scholar] [CrossRef] [PubMed]
  33. Ruze, R.; Liu, T.; Zou, X.; Song, J.; Chen, Y.; Xu, R.; Yin, X.; Xu, Q. Obesity and type 2 diabetes mellitus: Connections in epidemiology, pathogenesis, and treatments. Front. Endocrinol. 2023, 14, 1161521. [Google Scholar] [CrossRef] [PubMed]
  34. Castro Conde, A.; Gorgojo Martínez, J.J.; Górriz Teruel, J.L.; Manito Lorite, N.; Cobo Marcos, M.; Freixa-Pamias, R.; Obaya Rebollar, J.C.; Álvarez Hermida, A.B.; Campuzano Ruiz, R.; Fernández Olmo, R.; et al. Obesidad y enfermedad cardiovascular y renal. Posicionamiento de las Asociaciones de Cardiología Preventiva, Cardiología Clínica e Insuficiencia Cardiaca de la SEC. REC CardioClinics 2024, 59, 212–224. [Google Scholar] [CrossRef]
  35. Neeland, I.J.; Poirier, P.; Després, J.P. Cardiovascular and Metabolic Heterogeneity of Obesity: Clinical Challenges and Implications for Management. Circulation 2018, 137, 1391–1406. [Google Scholar] [CrossRef]
  36. Yaghootkar, H.; Scott, R.A.; White, C.C.; Zhang, W.; Speliotes, E.; Munroe, P.B.; Ehret, G.B.; Bis, J.C.; Fox, C.S.; Walker, M.; et al. Genetic evidence for a normal-weight “metabolically obese” phenotype linking insulin resistance, hypertension, coronary artery disease, and type 2 diabetes. Diabetes 2014, 63, 4369–4377. [Google Scholar] [CrossRef]
  37. Gadde, K.M.; Martin, C.K.; Berthoud, H.R.; Heymsfield, S.B. Obesity: Pathophysiology and Management. J. Am. Coll. Cardiol. 2018, 71, 69–84. [Google Scholar] [CrossRef]
  38. Gustafson, B.; Smith, U. Regulation of white adipogenesis and its relation to ectopic fat accumulation and cardiovascular risk. Atherosclerosis 2015, 241, 27–35. [Google Scholar] [CrossRef]
  39. Koliaki, C.; Liatis, S.; Kokkinos, A. Obesity and cardiovascular disease: Revisiting an old relationship. Metabolism 2019, 92, 98–107. [Google Scholar] [CrossRef]
  40. Lotta, L.A.; Gulati, P.; Day, F.R.; Payne, F.; Ongen, H.; van de Bunt, M.; Gaulton, K.J.; Eicher, J.D.; Sharp, S.J.; Luan, J.; et al. Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance. Nat. Genet. 2017, 49, 17–26. [Google Scholar] [CrossRef]
  41. Preda, A.; Carbone, F.; Tirandi, A.; Montecucco, F.; Liberale, L. Obesity phenotypes and cardiovascular risk: From pathophysiology to clinical management. Rev. Endocr. Metab. Disord. 2023, 24, 901–919. [Google Scholar] [CrossRef]
  42. Yamazaki, H.; Tauchi, S.; Machann, J.; Haueise, T.; Yamamoto, Y.; Dohke, M.; Hanawa, N.; Kodama, Y.; Katanuma, A.; Stefan, N.; et al. Fat Distribution Patterns and Future Type 2 Diabetes. Diabetes 2022, 71, 1937–1945. [Google Scholar] [CrossRef]
  43. Linge, J.; Whitcher, B.; Borga, M.; Dahlqvist Leinhard, O. Sub-phenotyping Metabolic Disorders Using Body Composition: An Individualized, Nonparametric Approach Utilizing Large Data Sets. Obesity 2019, 27, 1190–1199. [Google Scholar] [CrossRef] [PubMed]
  44. Caleyachetty, R.; Thomas, G.N.; Toulis, K.A.; Mohammed, N.; Gokhale, K.M.; Balachandran, K.; Nirantharakumar, K. Metabolically Healthy Obese and Incident Cardiovascular Disease Events Among 3.5 Million Men and Women. J. Am. Coll. Cardiol. 2017, 70, 1429–1437. [Google Scholar] [CrossRef]
  45. Heymsfield, S.B.; Wadden, T.A. Mechanisms, Pathophysiology, and Management of Obesity. N. Engl. J. Med. 2017, 376, 254–266. [Google Scholar] [CrossRef] [PubMed]
  46. Defronzo, R.A. Banting Lecture. From the triumvirate to the ominous octet: A new paradigm for the treatment of type 2 diabetes mellitus. Diabetes 2009, 58, 773–795. [Google Scholar] [CrossRef] [PubMed]
  47. Schwartz, S.S.; Epstein, S.; Corkey, B.E.; Grant, S.F.; Gavin JR 3rd Aguilar, R.B. The Time Is Right for a New Classification System for Diabetes: Rationale and Implications of the β-Cell-Centric Classification Schema. Diabetes Care 2016, 39, 179–186. [Google Scholar] [CrossRef]
  48. Ahlqvist, E.; Prasad, R.B.; Groop, L. Subtypes of Type 2 Diabetes Determined From Clinical Parameters. Diabetes 2020, 69, 2086–2093. [Google Scholar] [CrossRef]
  49. Herder, C.; Roden, M. A novel diabetes typology: Towards precision diabetology from pathogenesis to treatment. Diabetologia 2022, 65, 1770–1781. [Google Scholar] [CrossRef]
  50. Smith, R.J.; Nathan, D.M.; Arslanian, S.A.; Groop, L.; Rizza, R.A.; Rotter, J.I. Individualizing therapies in type 2 diabetes mellitus based on patient characteristics: What we know and what we need to know. J. Clin. Endocrinol. Metab. 2010, 95, 1566–1574. [Google Scholar] [CrossRef]
  51. Hattersley, A.T.; Patel, K.A. Precision diabetes: Learning from monogenic diabetes. Diabetologia 2017, 60, 769–777. [Google Scholar] [CrossRef]
  52. Udler, M.S.; Kim, J.; von Grotthuss, M.; Bonàs-Guarch, S.; Cole, J.B.; Chiou, J.; Christopher, D.; Anderson on behalf of METASTROKE and the ISGC; Boehnke, M.; Laakso, M.; et al. Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis. PLoS Med. 2018, 15, e1002654. [Google Scholar] [CrossRef] [PubMed]
  53. Deutsch, A.J.; Ahlqvist, E.; Udler, M.S. Phenotypic and genetic classification of diabetes. Diabetologia 2022, 65, 1758–1769. [Google Scholar] [CrossRef] [PubMed]
  54. Taylor, R. Type 2 diabetes and remission: Practical management guided by pathophysiology. J. Intern. Med. 2021, 289, 754–770. [Google Scholar] [CrossRef] [PubMed]
  55. García Almeida, J.M.; García García, C.; Vegas Aguilar, I.M.; Bellido Castañeda, V.; Bellido Guerrero, D. Morphofunctional assessment of patient’s nutritional status: A global approach. Nutr. Hosp. 2021, 38, 592–600. [Google Scholar]
  56. Bellido, D.; García-García, C.; Talluri, A.; Lukaski, H.C.; García-Almeida, J.M. Future lines of research on phase angle: Strengths and limitations. Rev. Endocr. Metab. Disord. 2023, 24, 563–583. [Google Scholar] [CrossRef]
  57. Salmón-Gómez, L.; Catalán, V.; Frühbeck, G.; Gómez-Ambrosi, J. Relevance of body composition in phenotyping the obesities. Rev. Endocr. Metab. Disord. 2023, 24, 809–823. [Google Scholar] [CrossRef]
  58. Jochem, C.; Leitzmann, M.; Volaklis, K.; Aune, D.; Strasser, B. Association Between Muscular Strength and Mortality in Clinical Populations: A Systematic Review and Meta-Analysis. J. Am. Med. Dir. Assoc. 2019, 20, 1213–1223. [Google Scholar] [CrossRef]
  59. Nakhleh, A.; Halfin, E.; Shehadeh, N. Remission of type 2 diabetes mellitus. World J. Diabetes 2024, 15, 1384–1389. [Google Scholar] [CrossRef]
  60. Riddle, M.C.; Cefalu, W.T.; Evans, P.H.; Gerstein, H.C.; Nauck, M.A.; Oh, W.K.; Rothberg, A.E.; le Roux, C.W.; Rubino, F.; Schauer, P.; et al. Consensus Report: Definition and Interpretation of Remission in Type 2 Diabetes. Diabetes Care 2021, 44, 2438–2444. [Google Scholar] [CrossRef]
  61. Kalra, S.; Singal, A.; Lathia, T. What’s in a Name? Redefining Type 2 Diabetes Remission. Diabetes Ther. 2021, 12, 647–654. [Google Scholar] [CrossRef]
  62. Gregg, E.W.; Chen, H.; Bancks, M.P.; Manalac, R.; Maruthur, N.; Munshi, M.; Wing, R.; Look AHEAD Research Group. Impact of remission from type 2 diabetes on long-term health outcomes: Findings from the Look AHEAD study. Diabetologia 2024, 67, 459–469. [Google Scholar] [CrossRef] [PubMed]
  63. Lim, E.L.; Hollingsworth, K.G.; Aribisala, B.S.; Chen, M.J.; Mathers, J.C.; Taylor, R. Reversal of type 2 diabetes: Normalisation of beta cell function in association with decreased pancreas and liver triacylglycerol. Diabetologia 2011, 54, 2506–2514. [Google Scholar] [CrossRef] [PubMed]
  64. Lean, M.E.; Leslie, W.S.; Barnes, A.C.; Brosnahan, N.; Thom, G.; McCombie, L.; Peters, C.; Zhyzhneuskaya, S.; Al-Mrabeh, A.; Hollingsworth, K.G.; et al. Primary care-led weight management for remission of type 2 diabetes (DiRECT): An open-label, cluster-randomised trial. Lancet 2018, 391, 541–551. [Google Scholar] [CrossRef] [PubMed]
  65. Lean, M.E.J.; Leslie, W.S.; Barnes, A.C.; Brosnahan, N.; Thom, G.; McCombie, L.; Peters, C.; Zhyzhneuskaya, S.; Al-Mrabeh, A.; Hollingsworth, K.G.; et al. Durability of a primary care-led weight-management intervention for remission of type 2 diabetes: 2-year results of the DiRECT open-label, cluster-randomised trial. Lancet Diabetes Endocrinol. 2019, 7, 344–355. [Google Scholar] [CrossRef] [PubMed]
  66. Al-Mrabeh, A.; Zhyzhneuskaya, S.V.; Peters, C.; Barnes, A.C.; Melhem, S.; Jesuthasan, A.; Aribisala, B.; Hollingsworth, K.G.; Lietz, G.; Mathers, J.C.; et al. Hepatic Lipoprotein Export and Remission of Human Type 2 Diabetes after Weight Loss. Cell Metab. 2020, 31, 233–249.e4. [Google Scholar] [CrossRef]
  67. Taheri, S.; Zaghloul, H.; Chagoury, O.; Elhadad, S.; Ahmed, S.H.; El Khatib, N.; Amona, R.A.; El Nahas, K.; Suleiman, N.; Alnaama, A.; et al. Effect of intensive lifestyle intervention on bodyweight and glycaemia in early type 2 diabetes (DIADEM-I): An open-label, parallel-group, randomised controlled trial. Lancet Diabetes Endocrinol. 2020, 8, 477–489. [Google Scholar] [CrossRef]
  68. Sattar, N.; Welsh, P.; Leslie, W.S.; Thom, G.; McCombie, L.; Brosnahan, N.; Richardson, J.; Gill, J.M.R.; Crawford, L.; Lean, M.E.J. Dietary weight-management for type 2 diabetes remissions in South Asians: The South Asian diabetes remission randomised trial for proof-of-concept and feasibility (STANDby). Lancet Reg. Health Southeast. Asia 2023, 9, 100111. [Google Scholar] [CrossRef]
  69. Lean, M.E.; Leslie, W.S.; Barnes, A.C.; Brosnahan, N.; Thom, G.; McCombie, L.; Kelly, T.; Irvine, K.; Peters, C.; Zhyzhneuskaya, S.; et al. 5-year follow-up of the randomised Diabetes Remission Clinical Trial (DiRECT) of continued support for weight loss maintenance in the UK: An extension study. Lancet Diabetes Endocrinol. 2024, 12, 233–246. [Google Scholar] [CrossRef]
  70. American Diabetes Association Professional Practice Committee. 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Care in Diabetes-2025. Diabetes Care 2025, 48, S181–S206. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  71. Lingvay, I.; Catarig, A.M.; Frias, J.P.; Kumar, H.; Lausvig, N.L.; le Roux, C.W.; Thielke, D.; Viljoen, A.; McCrimmon, R.J. Efficacy and safety of once-weekly semaglutide versus daily canagliflozin as add-on to metformin in patients with type 2 diabetes (SUSTAIN 8): A double-blind, phase 3b, randomised controlled trial. Lancet Diabetes Endocrinol. 2019, 7, 834–844. [Google Scholar] [CrossRef]
  72. McCrimmon, R.J.; Catarig, A.M.; Frias, J.P.; Lausvig, N.L.; le Roux, C.W.; Thielke, D.; Lingvay, I. Effects of once-weekly semaglutide vs once-daily canagliflozin on body composition in type 2 diabetes: A substudy of the SUSTAIN 8 randomised controlled clinical trial. Diabetologia 2020, 63, 473–485. [Google Scholar] [CrossRef] [PubMed]
  73. Gastaldelli, A.; Cusi, K.; Fernández Landó, L.; Bray, R.; Brouwers, B.; Rodríguez, Á. Effect of tirzepatide versus insulin degludec on liver fat content and abdominal adipose tissue in people with type 2 diabetes (SURPASS-3 MRI): A substudy of the randomised, open-label, parallel-group, phase 3 SURPASS-3 trial. Lancet Diabetes Endocrinol. 2022, 10, 393–406. [Google Scholar] [CrossRef]
  74. Davies, M.; Færch, L.; Jeppesen, O.K.; Pakseresht, A.; Pedersen, S.D.; Perreault, L.; Rosenstock, J.; Shimomura, I.; Viljoen, A.; Wadden, T.A.; et al. Semaglutide 2·4 mg once a week in adults with overweight or obesity, and type 2 diabetes (STEP 2): A randomised, double-blind, double-dummy, placebo-controlled, phase 3 trial. Lancet 2021, 397, 971–984. [Google Scholar] [CrossRef] [PubMed]
  75. Garvey, W.T.; Frias, J.P.; Jastreboff, A.M.; le Roux, C.W.; Sattar, N.; Aizenberg, D.; Mao, H.; Zhang, S.; Ahmad, N.N.; Bunck, M.C.; et al. Tirzepatide once weekly for the treatment of obesity in people with type 2 diabetes (SURMOUNT-2): A double-blind, randomised, multicentre, placebo-controlled, phase 3 trial. Lancet 2023, 402, 613–626. [Google Scholar] [CrossRef] [PubMed]
  76. Rosenstock, J.; Vázquez, L.; Del Prato, S.; Franco, D.R.; Weerakkody, G.; Dai, B.; Landó, L.F.; Bergman, B.K.; Rodríguez, A. Achieving Normoglycemia With Tirzepatide: Analysis of SURPASS 1-4 Trials. Diabetes Care 2023, 46, 1986–1992. [Google Scholar] [CrossRef]
  77. Rubino, F.; Nathan, D.M.; Eckel, R.H.; Schauer, P.R.; Alberti, K.G.; Zimmet, P.Z.; Del Prato, S.; Ji, L.; Sadikot, S.M.; Herman, W.H.; et al. Metabolic Surgery in the Treatment Algorithm for Type 2 Diabetes: A Joint Statement by International Diabetes Organizations. Diabetes Care 2016, 39, 861–877. [Google Scholar] [CrossRef]
  78. Hanipah, Z.N.; Rubino, F.; Schauer, P.R. Remission with an Intervention: Is Metabolic Surgery the Ultimate Solution? Endocrinol. Metab. Clin. N. Am. 2023, 52, 65–88. [Google Scholar] [CrossRef] [PubMed]
  79. Chumakova-Orin, M.; Vanetta, C.; Moris, D.P.; Guerron, A.D. Diabetes remission after bariatric surgery. World J. Diabetes. 2021, 12, 1093–1101. [Google Scholar] [CrossRef]
  80. Kim, J.; Kwon, H.S. Not Control but Conquest: Strategies for the Remission of Type 2 Diabetes Mellitus. Diabetes Metab. J. 2022, 46, 165–180. [Google Scholar] [CrossRef]
  81. De Luca, M.; Zese, M.; Bandini, G.; Chiappetta, S.; Iossa, A.; Merola, G.; Piatto, G.; Tolone, S.; Vitiello, A.; Silverii, G.A.; et al. Metabolic bariatric surgery as a therapeutic option for patients with type 2 diabetes: A meta-analysis and network meta-analysis of randomized controlled trials. Diabetes Obes. Metab. 2023, 25, 2362–2373. [Google Scholar] [CrossRef]
  82. Yang, Y.; Miao, C.; Wang, Y.; He, J. The long-term effect of bariatric/metabolic surgery versus pharmacologic therapy in type 2 diabetes mellitus patients: A systematic review and meta-analysis. Diabetes Metab. Res. Rev. 2024, 40, e3830. [Google Scholar] [CrossRef] [PubMed]
  83. Lei, Y.; Lei, X.; Chen, G.; Wang, Z.; Song, H.; Feng, X.; Wu, Y.; Jia, V.; Hu, J.; Tian, Y. Update on comparison of laparoscopic sleeve gastrectomy and laparoscopic Roux-en-Y gastric bypass: A systematic review and meta-analysis of weight loss, comorbidities, and quality of life at 5 years. BMC Surg. 2024, 24, 219. [Google Scholar] [CrossRef] [PubMed]
  84. Elsaigh, M.; Awan, B.; Shabana, A.; Sohail, A.; Asqalan, A.; Saleh, O.; Szul, J.; Khalil, R.; Elgohary, H.; Marzouk, M.; et al. Comparing Safety and Efficacy Outcomes of Gastric Bypass and Sleeve Gastrectomy in Patients With Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis. Cureus 2024, 16, e52796. [Google Scholar] [CrossRef]
  85. Mingrone, G.; Panunzi, S.; De Gaetano, A.; Guidone, C.; Iaconelli, A.; Capristo, E.; Chamseddine, G.; Bornstein, S.R.; Rubino, F. Metabolic surgery versus conventional medical therapy in patients with type 2 diabetes: 10-year follow-up of an open-label, single-centre, randomised controlled trial. Lancet 2021, 397, 293–304. [Google Scholar] [CrossRef]
  86. Sjöström, L.; Peltonen, M.; Jacobson, P.; Ahlin, S.; Andersson-Assarsson, J.; Anveden, Å.; Bouchard, C.; Carlsson, B.; Karason, K.; Lönroth, H.; et al. Association of bariatric surgery with long-term remission of type 2 diabetes and with microvascular and macrovascular complications. JAMA 2014, 311, 2297–2304. [Google Scholar] [CrossRef]
  87. Batterham, R.L.; Cummings, D.E. Mechanisms of Diabetes Improvement Following Bariatric/Metabolic Surgery. Diabetes Care 2016, 39, 893–901. [Google Scholar] [CrossRef]
  88. Albaugh, V.L.; Axelrod, C.; Belmont, K.P.; Kirwan, J.P. Physiology Reconfigured: How Does Bariatric Surgery Lead to Diabetes Remission? Endocrinol. Metab. Clin. N. Am. 2023, 52, 49–64. [Google Scholar] [CrossRef]
  89. Look AHEAD Research Group; Gregg, E.W.; Jakicic, J.M.; Blackburn, G.; Bloomquist, P.; Bray, G.A.; Clark, J.M.; Coday, M.; Curtis, J.M.; Egan, C.; et al. Association of the magnitude of weight loss and changes in physical fitness with long-term cardiovascular disease outcomes in overweight or obese people with type 2 diabetes: A post-hoc analysis of the Look AHEAD randomised clinical trial. Lancet Diabetes Endocrinol. 2016, 4, 913–921. [Google Scholar]
  90. American Diabetes Association Professional Practice Committee. 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2025. Diabetes Care 2025, 48, S86–S127. [Google Scholar] [CrossRef]
  91. Yuan, Y.; Chen, C.; Liu, Q.; Luo, Y.; Yang, Z.; Lin, Y.; Sun, L.; Fan, G. A network meta-analysis of the comparative efficacy of different dietary approaches on glycaemic control and weight loss in patients with type 2 diabetes mellitus and overweight or obesity. Food Funct. 2024, 15, 11961–11974. [Google Scholar] [CrossRef] [PubMed]
  92. Estruch, R.; Ros, E.; Salas-Salvadó, J.; Covas, M.I.; Corella, D.; Arós, F.; Gómez-Gracia, E.; Ruiz-Gutiérrez, V.; Fiol, M.; Lapetra, J.; et al. Primary Prevention of Cardiovascular Disease with a Mediterranean Diet Supplemented with Extra-Virgin Olive Oil or Nuts. N. Engl. J. Med. 2018, 378, e34. [Google Scholar] [CrossRef] [PubMed]
  93. Martínez-González, M.A.; Salas-Salvadó, J.; Estruch, R.; Corella, D.; Fitó, M.; Ros, E.; PREDIMED INVESTIGATORS. Benefits of the Mediterranean Diet: Insights From the PREDIMED Study. Prog. Cardiovasc. Dis. 2015, 58, 50–60. [Google Scholar] [CrossRef] [PubMed]
  94. Salas-Salvadó, J.; Díaz-López, A.; Ruiz-Canela, M.; Basora, J.; Fitó, M.; Corella, D.; Serra-Majem, L.; Wärnberg, J.; Romaguera, D.; Estruch, R.; et al. Effect of a Lifestyle Intervention Program With Energy-Restricted Mediterranean Diet and Exercise on Weight Loss and Cardiovascular Risk Factors: One-Year Results of the PREDIMED-Plus Trial. Diabetes Care 2019, 42, 777–788. [Google Scholar] [CrossRef] [PubMed]
  95. Cosentino, F.; Grant, P.J.; Aboyans, V.; Bailey, C.J.; Ceriello, A.; Delgado, V.; Federici, M.; Filippatos, G.; Grobbee, D.E.; Hansen, T.B.; et al. 2019 ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur. Heart J. 2020, 41, 255–323. [Google Scholar] [CrossRef]
  96. Marx, N.; Federici, M.; Schütt, K.; Müller-Wieland, D.; Ajjan, R.A.; Antunes, M.J.; Christodorescu, R.M.; Crawford, C.; Di Angelantonio, E.; Eliasson, B.; et al. 2023 ESC Guidelines for the management of cardiovascular disease in patients with diabetes. Eur. Heart J. 2023, 44, 4043–4140. [Google Scholar]
  97. Piepoli, M.F.; Hoes, A.W.; Agewall, S.; Albus, C.; Brotons, C.; Catapano, A.L.; Cooney, M.T.; Corrà, U.; Cosyns, B.; Deaton, C.; et al. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts) Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur. Heart J. 2016, 37, 2315–2381. [Google Scholar]
  98. Sattar, N.; Lee, M.M.Y.; Kristensen, S.L.; Branch, K.R.H.; Del Prato, S.; Khurmi, N.S.; Lam, C.S.P.; Lopes, R.D.; McMurray, J.J.V.; Pratley, R.E.; et al. Cardiovascular, mortality, and kidney outcomes with GLP-1 receptor agonists in patients with type 2 diabetes: A systematic review and meta-analysis of randomised trials. Lancet Diabetes Endocrinol. 2021, 9, 653–662. [Google Scholar] [CrossRef]
  99. Salah, H.M.; Al’Aref, S.J.; Khan, M.S.; Al-Hawwas, M.; Vallurupalli, S.; Mehta, J.L.; Mounsey, J.P.; Greene, S.J.; McGuire, D.K.; Lopes, R.D.; et al. Effects of sodium-glucose cotransporter 1 and 2 inhibitors on cardiovascular and kidney outcomes in type 2 diabetes: A meta-analysis update. Am. Heart J. 2021, 233, 86–91. [Google Scholar] [CrossRef]
  100. Giugliano, D.; Longo, M.; Caruso, P.; Maiorino, M.I.; Bellastella, G.; Esposito, K. Sodium-glucose co-transporter-2 inhibitors for the prevention of cardiorenal outcomes in type 2 diabetes: An updated meta-analysis. Diabetes Obes. Metab. 2021, 23, 1672–1676. [Google Scholar] [CrossRef]
  101. Badve, S.V.; Bilal, A.; Lee, M.M.Y.; Sattar, N.; Gerstein, H.C.; Ruff, C.T.; McMurray, J.J.V.; Rossing, P.; Bakris, G.; Mahaffey, K.W.; et al. Effects of GLP-1 receptor agonists on kidney and cardiovascular disease outcomes: A meta-analysis of randomised controlled trials. Lancet Diabetes Endocrinol. 2024, 13, 15–28. [Google Scholar] [CrossRef]
  102. Perkovic, V.; Tuttle, K.R.; Rossing, P.; Mahaffey, K.W.; Mann, J.F.E.; Bakris, G.; Baeres, F.M.M.; Idorn, T.; Bosch-Traberg, H.; Lausvig, N.L.; et al. Effects of Semaglutide on Chronic Kidney Disease in Patients with Type 2 Diabetes. N. Engl. J. Med. 2024, 391, 109–121. [Google Scholar] [CrossRef] [PubMed]
  103. Kosiborod, M.N.; Petrie, M.C.; Borlaug, B.A.; Butler, J.; Davies, M.J.; Hovingh, G.K.; Kitzman, D.W.; Møller, D.V.; Treppendahl, M.B.; Verma, S.; et al. Semaglutide in Patients with Obesity-Related Heart Failure and Type 2 Diabetes. N. Engl. J. Med. 2024, 390, 1394–1407. [Google Scholar] [CrossRef] [PubMed]
  104. Packer, M.; Zile, M.R.; Kramer, C.M.; Baum, S.J.; Litwin, S.E.; Menon, V.; Ge, J.; Weerakkody, G.J.; Ou, Y.; Bunck, M.C.; et al. Tirzepatide for Heart Failure with Preserved Ejection Fraction and Obesity. N. Engl. J. Med. 2024; epub ahead of print. [Google Scholar] [CrossRef]
  105. Novo-Nordisk. Oral Semaglutide Demonstrates a 14% Reduction in Risk of Major Adverse Cardiovascular Events in Adults with Type 2 Diabetes in the SOUL Trial. Company Announcement No 76/2024. Available online: https://www.novonordisk.com/news-and-media/news-and-ir-materials/news-details.html?id=171480 (accessed on 23 December 2024).
  106. Gorgojo-Martínez, J.J. Nuevos fármacos para la reducción del riesgo cardiovascular en pacientes con diabetes mellitus tipo 2 [New glucose-lowering drugs for reducing cardiovascular risk in patients with type2 diabetes mellitus]. Hipertens. Riesgo Vasc. 2019, 36, 145–161. [Google Scholar] [CrossRef] [PubMed]
  107. Cherney, D.Z.I.; Udell, J.A.; Drucker, D.J. Cardiorenal mechanisms of action of glucagon-like-peptide-1 receptor agonists and sodium-glucose cotransporter 2 inhibitors. Med 2021, 2, 1203–1230. [Google Scholar] [CrossRef]
  108. Tuttle, K.R.; Brosius FC 3rd Cavender, M.A.; Fioretto, P.; Fowler, K.J.; Heerspink, H.J.L.; Manley, T.; McGuire, D.K.; Molitch, M.E.; Mottl, A.K.; Perreault, L.; et al. SGLT2 Inhibition for CKD and Cardiovascular Disease in Type 2 Diabetes: Report of a Scientific Workshop Sponsored by the National Kidney Foundation. Diabetes 2021, 70, 1–16. [Google Scholar] [CrossRef]
  109. Drucker, D.J. Efficacy and Safety of GLP-1 Medicines for Type 2 Diabetes and Obesity. Diabetes Care 2024, 47, 1873–1888. [Google Scholar] [CrossRef]
  110. Ussher, J.R.; Drucker, D.J. Glucagon-like peptide 1 receptor agonists: Cardiovascular benefits and mechanisms of action. Nat. Rev. Cardiol. 2023, 20, 463–474. [Google Scholar] [CrossRef]
  111. Nauck, M.A.; Quast, D.R.; Wefers, J.; Meier, J.J. GLP-1 receptor agonists in the treatment of type 2 diabetes—State-of-the-art. Mol. Metab. 2021, 46, 101102. [Google Scholar] [CrossRef]
  112. Gorgojo-Martinez, J.J.; Ferreira-Ocampo, P.J.; Galdón Sanz-Pastor, A.; Cárdenas-Salas, J.; Antón-Bravo, T.; Brito-Sanfiel, M.; Almodóvar-Ruiz, F. Effectiveness and Tolerability of the Intensification of Canagliflozin Dose from 100 mg to 300 mg Daily in Patients with Type 2 Diabetes in Real Life: The INTENSIFY Study. J. Clin. Med. 2023, 12, 4248. [Google Scholar] [CrossRef]
  113. Packer, M. Critical Reanalysis of the Mechanisms Underlying the Cardiorenal Benefits of SGLT2 Inhibitors and Reaffirmation of the Nutrient Deprivation Signaling/Autophagy Hypothesis. Circulation 2022, 146, 1383–1405. [Google Scholar] [CrossRef]
  114. Samms, R.J.; Coghlan, M.P.; Sloop, K.W. How May GIP Enhance the Therapeutic Efficacy of GLP-1? Trends Endocrinol. Metab. 2020, 31, 410–421. [Google Scholar] [CrossRef] [PubMed]
  115. Liu, Q.K. Mechanisms of action and therapeutic applications of GLP-1 and dual GIP/GLP-1 receptor agonists. Front. Endocrinol. 2024, 15, 1431292. [Google Scholar] [CrossRef]
  116. Gasbjerg, L.S.; Rosenkilde, M.M.; Meier, J.J.; Holst, J.J.; Knop, F.K. The importance of glucose-dependent insulinotropic polypeptide receptor activation for the effects of tirzepatide. Diabetes Obes. Metab. 2023, 25, 3079–3092. [Google Scholar] [CrossRef] [PubMed]
  117. Frias, J.P.; Nauck, M.A.; Van, J.; Kutner, M.E.; Cui, X.; Benson, C.; Urva, S.; Gimeno, R.E.; Milicevic, Z.; Robins, D.; et al. Efficacy and safety of LY3298176, a novel dual GIP and GLP-1 receptor agonist, in patients with type 2 diabetes: A randomised, placebo-controlled and active comparator-controlled phase 2 trial. Lancet 2018, 392, 2180–2193. [Google Scholar] [CrossRef] [PubMed]
  118. Frías, J.P.; Davies, M.J.; Rosenstock, J.; Pérez Manghi, F.C.; Fernández Landó, L.; Bergman, B.K.; Liu, B.; Cui, X.; Brown, K.; SURPASS-2 Investigators. Tirzepatide versus Semaglutide Once Weekly in Patients with Type 2 Diabetes. N. Engl. J. Med. 2021, 385, 503–515. [Google Scholar] [CrossRef] [PubMed]
  119. Nauck, M.A.; Mirna, A.E.A.; Quast, D.R. Meta-analysis of head-to-head clinical trials comparing incretin-based glucose-lowering medications and basal insulin: An update including recently developed glucagon-like peptide-1 (GLP-1) receptor agonists and the glucose-dependent insulinotropic polypeptide/GLP-1 receptor co-agonist tirzepatide. Diabetes Obes. Metab. 2023, 25, 1361–1371. [Google Scholar]
  120. American Diabetes Association Professional Practice Committee. 16. Diabetes Care in the Hospital: Standards of Care in Diabetes-2025. Diabetes Care 2025, 48, S321–S334. [Google Scholar] [CrossRef]
  121. Miras, A.D.; Pérez-Pevida, B.; Aldhwayan, M.; Kamocka, A.; McGlone, E.R.; Al-Najim, W.; Chahal, H.; Batterham, R.L.; McGowan, B.; Khan, O.; et al. Adjunctive liraglutide treatment in patients with persistent or recurrent type 2 diabetes after metabolic surgery (GRAVITAS): A randomised, double-blind, placebo-controlled trial. Lancet Diabetes Endocrinol. 2019, 7, 549–559. [Google Scholar] [CrossRef]
  122. Mok, J.; Adeleke, M.O.; Brown, A.; Magee, C.G.; Firman, C.; Makahamadze, C.; Jassil, F.C.; Marvasti, P.; Carnemolla, A.; Devalia, K.; et al. Safety and Efficacy of Liraglutide, 3.0 mg, Once Daily vs. Placebo in Patients With Poor Weight Loss Following Metabolic Surgery: The BARI-OPTIMISE Randomized Clinical Trial. JAMA Surg. 2023, 158, 1003–1011. [Google Scholar] [CrossRef]
  123. Svanevik, M.; Lorentzen, J.; Borgeraas, H.; Sandbu, R.; Seip, B.; Medhus, A.W.; Hertel, J.K.; Kolotkin, R.L.; Småstuen, M.C.; Hofsø, D.; et al. Patient-reported outcomes, weight loss, and remission of type 2 diabetes 3 years after gastric bypass and sleeve gastrectomy (Oseberg); a single-centre, randomised controlled trial. Lancet Diabetes Endocrinol. 2023, 11, 555–566. [Google Scholar] [CrossRef]
  124. Murphy, R.; Plank, L.D.; Clarke, M.G.; Evennett, N.J.; Tan, J.; Kim, D.D.W.; Cutfield, R.; Booth, M.W.C. Effect of Banded Roux-en-Y Gastric Bypass Versus Sleeve Gastrectomy on Diabetes Remission at 5 Years Among Patients With Obesity and Type 2 Diabetes: A Blinded Randomized Clinical Trial. Diabetes Care 2022, 45, 1503–1511. [Google Scholar] [CrossRef] [PubMed]
  125. Pullman, J.S.; Plank, L.D.; Nisbet, S.; Murphy, R.; Booth, M.W.C. Seven-Year Results of a Randomized Trial Comparing Banded Roux-en-Y Gastric Bypass to Sleeve Gastrectomy for Type 2 Diabetes and Weight Loss. Obes. Surg. 2023, 33, 1989–1996. [Google Scholar] [CrossRef] [PubMed]
  126. Zhu, J.J.; Wilding, J.P.H.; Gu, X.S. Combining GLP-1 receptor agonists and SGLT-2 inhibitors for cardiovascular disease prevention in type 2 diabetes: A systematic review with multiple network meta-regressions. World J. Diabetes. 2024, 15, 2135–2146. [Google Scholar] [CrossRef]
  127. Neuen, B.L.; Heerspink, H.J.L.; Vart, P.; Claggett, B.L.; Fletcher, R.A.; Arnott, C.; de Oliveira Costa, J.; Falster, M.O.; Pearson, S.A.; Mahaffey, K.W.; et al. Estimated Lifetime Cardiovascular, Kidney, and Mortality Benefits of Combination Treatment With SGLT2 Inhibitors, GLP-1 Receptor Agonists, and Nonsteroidal MRA Compared With Conventional Care in Patients With Type 2 Diabetes and Albuminuria. Circulation 2024, 149, 450–462. [Google Scholar] [CrossRef] [PubMed]
  128. Neuen, B.L.; Fletcher, R.A.; Heath, L.; Perkovic, A.; Vaduganathan, M.; Badve, S.V.; Tuttle, K.R.; Pratley, R.; Gerstein, H.C.; Perkovic, V.; et al. Cardiovascular, Kidney, and Safety Outcomes With GLP-1 Receptor Agonists Alone and in Combination With SGLT2 Inhibitors in Type 2 Diabetes: A Systematic Review and Meta-Analysis. Circulation 2024, 150, 1781–1790. [Google Scholar] [CrossRef]
  129. Gorgojo-Martínez, J.J.; Gargallo-Fernández, M.A.; Galdón Sanz-Pastor, A.; Antón-Bravo, T.; Brito-Sanfiel, M.; Wong-Cruz, J. Real-World Clinical Outcomes Associated with Canagliflozin in Patients with Type 2 Diabetes Mellitus in Spain: The Real-Wecan Study. J. Clin. Med. 2020, 9, 2275. [Google Scholar] [CrossRef]
  130. Rosenstock, J.; Frías, J.P.; Rodbard, H.W.; Tofé, S.; Sears, E.; Huh, R.; Fernández Landó, L.; Patel, H. Tirzepatide vs. Insulin Lispro Added to Basal Insulin in Type 2 Diabetes: The SURPASS-6 Randomized Clinical Trial. JAMA 2023, 330, 1631–1640. [Google Scholar] [CrossRef]
  131. Hill-Briggs, F.; Adler, N.E.; Berkowitz, S.A.; Chin, M.H.; Gary-Webb, T.L.; Navas-Acien, A.; Thornton, P.L.; Haire-Joshu, D. Social Determinants of Health and Diabetes: A Scientific Review. Diabetes Care 2020, 44, 258–279. [Google Scholar] [CrossRef]
  132. Frias, J.P.; Hsia, S.; Eyde, S.; Liu, R.; Ma, X.; Konig, M.; Kazda, C.; Mather, K.J.; Haupt, A.; Pratt, E.; et al. Efficacy and safety of oral orforglipron in patients with type 2 diabetes: A multicentre, randomised, dose-response, phase 2 study. Lancet 2023, 402, 472–483. [Google Scholar] [CrossRef]
  133. Aroda, V.R.; Aberle, J.; Bardtrum, L.; Christiansen, E.; Knop, F.K.; Gabery, S.; Pedersen, S.D.; Buse, J.B. Efficacy and safety of once-daily oral semaglutide 25 mg and 50 mg compared with 14 mg in adults with type 2 diabetes (PIONEER PLUS): A multicentre, randomised, phase 3b trial. Lancet 2023, 402, 693–704. [Google Scholar] [CrossRef]
  134. Blüher, M.; Rosenstock, J.; Hoefler, J.; Manuel, R.; Hennige, A.M. Dose-response effects on HbA1c and bodyweight reduction of survodutide, a dual glucagon/GLP-1 receptor agonist, compared with placebo and open-label semaglutide in people with type 2 diabetes: A randomised clinical trial. Diabetologia 2024, 67, 470–482. [Google Scholar] [CrossRef] [PubMed]
  135. Rosenstock, J.; Frias, J.; Jastreboff, A.M.; Du, Y.; Lou, J.; Gurbuz, S.; Thomas, M.K.; Hartman, M.L.; Haupt, A.; Milicevic, Z.; et al. Retatrutide, a GIP, GLP-1 and glucagon receptor agonist, for people with type 2 diabetes: A randomised, double-blind, placebo and active-controlled, parallel-group, phase 2 trial conducted in the USA. Lancet 2023, 402, 529–544. [Google Scholar] [CrossRef]
  136. Frias, J.P.; Deenadayalan, S.; Erichsen, L.; Knop, F.K.; Lingvay, I.; Macura, S.; Mathieu, C.; Pedersen, S.D.; Davies, M. Efficacy and safety of co-administered once-weekly cagrilintide 2·4 mg with once-weekly semaglutide 2·4 mg in type 2 diabetes: A multicentre, randomised, double-blind, active-controlled, phase 2 trial. Lancet 2023, 402, 720–730. [Google Scholar] [CrossRef] [PubMed]
  137. Hejjaji, V.; Gorgojo-Martinez, J.J.; Tang, F.; Garnelo, J.B.; Cooper, A.; Medina, J.; Mutiozabal, M.S.; Khunti, K.; Nicolucci, A.; Shestakova, M.V.; et al. Factors associated with weight loss in people with overweight or obesity living with type 2 diabetes mellitus: Insights from the global DISCOVER study. Diabetes Obes. Metab. 2022, 24, 1734–1740. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Benefits of an adipocentric approach versus a glucocentric or a complication-centered approach in the management of adiposopathy-related diabetes.
Figure 1. Benefits of an adipocentric approach versus a glucocentric or a complication-centered approach in the management of adiposopathy-related diabetes.
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Figure 2. Therapeutic algorithm for the treatment of adiposopathy-related diabetes. * The primary goal of the adipocentric strategy is a weight loss of at least 10%, preferably 15%, along with a reduction in waist circumference and body fat percentage. Additional goals are disease remission or optimal glycemic control. In cases where patients diagnosed with ARD show unfavorable glycemic progression, alternative diabetes etiologies should be suspected. ** For patients with established CV or renal complications, drugs with proven benefits in randomized clinical trials should be prioritized. *** Intensification with GLP-1RAs may involve switching to more effective agents within the class, titrating to higher doses or switching to tirzepatide. For patients on SGLT-2is, intensification may include using the highest dose of canagliflozin (300 mg/day). ARD: adiposopathy-related diabetes. MS: metabolic surgery.
Figure 2. Therapeutic algorithm for the treatment of adiposopathy-related diabetes. * The primary goal of the adipocentric strategy is a weight loss of at least 10%, preferably 15%, along with a reduction in waist circumference and body fat percentage. Additional goals are disease remission or optimal glycemic control. In cases where patients diagnosed with ARD show unfavorable glycemic progression, alternative diabetes etiologies should be suspected. ** For patients with established CV or renal complications, drugs with proven benefits in randomized clinical trials should be prioritized. *** Intensification with GLP-1RAs may involve switching to more effective agents within the class, titrating to higher doses or switching to tirzepatide. For patients on SGLT-2is, intensification may include using the highest dose of canagliflozin (300 mg/day). ARD: adiposopathy-related diabetes. MS: metabolic surgery.
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Table 1. Summary of different obesity phenotypes. BMI: body mass index, MUNW: metabolically unhealthy normal weight, MHO: metabolically healthy overweight/obesity, MUO: metabolically unhealthy overweight/obesity, SO: sarcopenic obesity [41].
Table 1. Summary of different obesity phenotypes. BMI: body mass index, MUNW: metabolically unhealthy normal weight, MHO: metabolically healthy overweight/obesity, MUO: metabolically unhealthy overweight/obesity, SO: sarcopenic obesity [41].
MUNWMHOMUOSO
BMI (kg/m2)NormalHighHigh/
Very high
High/
normal
Waist circumferenceNormal/
High
NormalHighHigh
Metabolic syndromePresentAbsentPresentPresent
Visceral fatHighLowHighHigh
Lean massNormalHighNormal/
High
Low
Physical performanceLowHighLow/
Very low
Very low
Table 2. Characteristics of diabetes subtypes according to the Ahlqvist model. Refs: [48,49].
Table 2. Characteristics of diabetes subtypes according to the Ahlqvist model. Refs: [48,49].
  • Latent Autoimmune Diabetes in Adults (Severe Autoimmune Diabetes, SAID)
    Positive for glutamic acid decarboxylase (GAD) antibody
    Early onset
    Low BMI
    Low insulin secretion
    High HbA1c
    Early requirement for insulin therapy
    High risk of retinopathy
    High incidence of nephropathy (dependent on baseline eGFR)
  • Severe Insulin-Deficient Diabetes (SIDD)
    GAD antibody-negative but other characteristics similar to SAID
    Low insulin secretion
    High HbA1c
    Early requirement for insulin therapy
    High risk of retinopathy, nephropathy, neuropathy, and erectile dysfunction
  • Severe Insulin-Resistant Diabetes (SIRD)
    GAD antibody-negative
    Obesity
    Insulin resistance
    Late onset
    High risk of kidney disease and fatty liver
    High risk of ischemic heart disease and stroke (depending on age and sex)
  • Mild Obesity-Related Diabetes (MOD)
    GAD antibody-negative
    Obesity
    Mild insulin resistance
    Early onset
    Intermediate risk of diabetes-related complications
  • Mild Age-Related Diabetes (MARD)
    GAD antibody-negative
    Late onset
    High risk of ischemic heart disease and stroke (depending on age and sex)
Table 3. Diagnostic tests in the evaluation of patients with adiposopathy-related diabetes. * Different ethnicity-specific cutoff values for waist circumference have been proposed by the International Diabetes Federation (e.g., 94 cm for European men and 80 cm for European women) [5].
Table 3. Diagnostic tests in the evaluation of patients with adiposopathy-related diabetes. * Different ethnicity-specific cutoff values for waist circumference have been proposed by the International Diabetes Federation (e.g., 94 cm for European men and 80 cm for European women) [5].
Anthropometry
a. BMI
b. Waist circumference *
c. Waist-to-hip ratio
d. Waist-to-height ratio
Body composition
a. Bioelectrical impedance: vector analysis, phase angle
b. Nutritional ultrasound
c. Liver ultrasound
d. Liver elastography
e. Others: plethysmography, DEXA, CT, MRI
Muscle functionality
a. Dynamometry
b. Sit-to-stand test
c. 6-min walk test
Laboratory tests
a. Metabolic syndrome
    -HbA1c
    -HOMA-IR
    -Lipid profile
    -C-reactive protein
    -FIB-4 score
    -Adipokines
    -Urinary albumin/creatinine ratio
b. Beta-cell function
    -Fasting plasma glucose, HbA1c, continuous glucose monitoring
    -Basal and/or stimulated C-peptide
    -HOMA-B
    -Pancreatic autoimmunity
    -HLA genotypes at risk for type 1 diabetes
Differential Diagnosis with Other Types of Diabetes
a. Tests for monogenic diabetes
    -Online probability calculators
    -Genetic testing
b. Tests for diabetes associated with pancreatic disease
    -Fecal elastase
    -Tumor markers
    -Pancreatic imaging studies
c. Hormonal tests for endocrinopathies (e.g., Cushing’s disease, acromegaly)
d. Tests for hereditary hemochromatosis
    -Transferrin saturation index
    -Genetic testing
Table 4. Clinical trials demonstrating cardiovascular or renal benefits of currently available GLP-1 receptor agonists and SGLT-2 inhibitors for the treatment of patients with T2D. * Studies including individuals with and without T2D [24,98,99,100,101,102,103,104,105].
Table 4. Clinical trials demonstrating cardiovascular or renal benefits of currently available GLP-1 receptor agonists and SGLT-2 inhibitors for the treatment of patients with T2D. * Studies including individuals with and without T2D [24,98,99,100,101,102,103,104,105].
Drugs with CV Benefit in Specific Study PopulationsClinical TrialPrimary and Secondary Endpoints with a Significant Risk Reduction
Major CV Events
and HF Hospitalization
Renal Outcome
Established CVD or multiple CV risk factors
GLP-1 receptor agonists
Liraglutide  LEADERMACE3, mortalityLower progression of CKD
Semaglutide (sc)  SUSTAIN-6MACE3Lower progression of CKD
Dulaglutide   REWINDMACE3Lower progression of CKD
Semaglutide (oral)  SOULMACE3
SGLT2 inhibitors
Empagliflozin  EMPA-REG OUTCOMEMACE3,mortality,
HF hospitalization
Lower progression of CKD
Canagliflozin  CANVASMACE3,
HF hospitalization
Lower progression of CKD
Dapagliflozin  DECLARE-TIMIHF hospitalizationLower progression of CKD
Heart failure with reduced ejection fraction
SGLT2 inhibitors
DapagliflozinDAPA-HF *HF hospitalization, mortality
EmpagliflozinEMPEROR-Reduced *HF hospitalizationLower progression of CKD
Heart failure with preserved ejection fraction
SGLT2 inhibitors
EmpagliflozinEMPEROR-Preserved *HF hospitalization
DapagliflozinDELIVER *HF hospitalization
GLP-1 receptor agonists
Semaglutide 2.4 (sc) STEP-HFpEF DMHF clinical improvement
Dual GLP-1/GIP receptor agonists
Tirzepatide 15 mgSUMMITHF hospitalization,
HF clinical improvement
Chronic kidney disease with albuminuria
SGLT2 inhibitors
CanagliflozinCREDENCEMACE3,
HF hospitalization
Lower progression of CKD
DapagliflozinDAPA-CKD *HF hospitalization, mortalityLower progression of CKD
GLP-1 receptor agonists
Semaglutide (sc)FLOWMACE3, mortalityLower progression of CKD
Chronic kidney disease with or without albuminuria
SGLT2 inhibitors
EmpagliflozinEMPA-KIDNEY * Lower progression of CKD
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Gorgojo-Martínez, J.J. Adipocentric Strategy for the Treatment of Type 2 Diabetes Mellitus. J. Clin. Med. 2025, 14, 678. https://doi.org/10.3390/jcm14030678

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Gorgojo-Martínez JJ. Adipocentric Strategy for the Treatment of Type 2 Diabetes Mellitus. Journal of Clinical Medicine. 2025; 14(3):678. https://doi.org/10.3390/jcm14030678

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Gorgojo-Martínez, Juan J. 2025. "Adipocentric Strategy for the Treatment of Type 2 Diabetes Mellitus" Journal of Clinical Medicine 14, no. 3: 678. https://doi.org/10.3390/jcm14030678

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Gorgojo-Martínez, J. J. (2025). Adipocentric Strategy for the Treatment of Type 2 Diabetes Mellitus. Journal of Clinical Medicine, 14(3), 678. https://doi.org/10.3390/jcm14030678

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