Next Article in Journal
Optimal Horseshoe Crab Blood Collection Solution That Inhibits Cellular Exocytosis and Improves Production Yield of Limulus Amoebocyte Lysate for Use in Endotoxin Tests
Previous Article in Journal
Advanced Hybrid Nanocatalysts for Green Hydrogen: Carbon-Supported MoS2 and ReS2 as Noble Metal Alternatives
Previous Article in Special Issue
Effects of Sleeve Gastrectomy and Treadmill Exercise on Skeletal Muscle and Ectopic Fat in High-Fat Diet-Induced Obese Rats
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Obesity-Related Kidney Disease: A Growing Threat to Renal Health

by
Juan León-Román
1,2,*,†,
Marina López-Martínez
1,2,†,
Alexandra Esteves
3,
Andreea Ciudin
2,4,5,
Sara Núñez-Delgado
1,2,
Tiffany Álvarez
1,
Albert Lecube
4,
Jorge Rico-Fontalvo
6,7 and
María José Soler
1,2,*
1
Nephrology Department, Vall d’Hebron University Hospital, Vall d’Hebron Institute of Research, CSUR National Unit of Expertise for Complex Glomerular Diseases of Spain, Paseo de la Vall d´Hebron 119, 08035 Barcelona, Spain
2
Department of Medicine, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
3
Nephrology Department, Hospitais da Univerisdade de Coimbra, Unidade Local de Saúde de Coimbra, 3004-561 Coimbra, Portugal
4
Endocrinology Department, Vall d’Hebron University Hospital, Vall d’Hebron Institute of Research, Diabetes and Metabolism Research Group, Paseo de la Vall d´Hebron 119, 08035 Barcelona, Spain
5
CIBERDEM (Instituto de Salud Carlos III), 28029 Madrid, Spain
6
Asociación Colombiana de Nefrología e HTA, Bogotá 0814, Colombia
7
Facultad de Medicina, Departamento de Nefrología, Universidad Simón Bolívar, Carrera 59 Número 59-65, Barranquilla 111321, Colombia
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2025, 26(14), 6641; https://doi.org/10.3390/ijms26146641
Submission received: 23 May 2025 / Revised: 27 June 2025 / Accepted: 5 July 2025 / Published: 10 July 2025
(This article belongs to the Special Issue Obesity: From Molecular Mechanisms to Clinical Aspects)

Abstract

Obesity represents a serious and growing disease worldwide. The pathophysiological changes secondary to chronic inflammation lead to the development of diseases that increase the morbidity and mortality of individuals. Chronic kidney disease (CKD) is a condition with deleterious effects that acts bidirectionally with obesity. From approximately 20% to 30% of individuals share phenotypes of CKD and obesity, increasing their cardiovascular risk and the risk of other complications. Obesity and CKD form a vicious cycle in which inflammation is the central axis of multiorgan damage. Despite increasing the risk of cardiac and renal mortality, CKD progresses in relation to body mass index and albuminuria. Nowadays, the implementation of the new medications aimed at mitigating the peak of inflammation is becoming a cornerstone of treatments for obesity, diabetes, cardiovascular diseases, and renal disease.

1. Introduction

Obesity is a complex and chronic disease that can potentially affect the quality of life by decreasing physical health as well as mental and social well-being. Despite the preventive interventions developed in recent years, the global prevalence and incidence of obesity continue to rise, to the extent that the World Health Organization (WHO) considers it a global health epidemic [1]. In 2022, approximately 2.5 billion people were affected by overweightness, including 890 million individuals with obesity. Currently, one in eight people has obesity, indicating that obesity rates double among adults and quadruple among adolescents compared to values from the 1990s [2]. In some areas, the prevalence of obesity is expected to double by 2050 [3].
Obesity is characterized by the excessive accumulation of adipose tissue, which may be attributed to genetic and/or socio-environmental factors, such as genetic predispositions, a sedentary lifestyle, high-calorie foods, insufficient access to healthy foods, low educational attainment, and psychiatric disorders. [4] Classically, obesity is described by a body mass index (BMI) ≥ 30 kg/m2, in contrast to overweight, which is defined by a BMI between 25 and 30 kg/m2 [5]. Currently, the diagnosis of obesity remains controversial and is also a matter of significant interest for multidisciplinary medical discussion, as the use of BMI as the sole diagnostic marker promotes erroneous stratification in many patients, leading to overdiagnosis with potential negative socioeconomic effects. BMI does not provide information about the individual health of patients. Furthermore, the definition of obesity established by BMI excludes the phenotypes that precede it, which also increase metabolic risk, and for which preventive and corrective treatment strategies should be established [6]. Therefore, BMI alone is often an insufficient biomarker, as it does not fully capture cardiometabolic risk. The combination of BMI ≥ 25 kg/m2 and a waist-to-height ratio (WtHr) of >0.5 helps optimize the stratification of obesity risk [7,8].
There is sufficient evidence highlighting the role of obesity in metabolic syndrome, cardiovascular diseases, endocrine disorders, mental health conditions, neoplastic diseases, and renal diseases [9,10,11]. Visceral obesity is also associated with increased inflammation and the risk of all-cause mortality [12]. Currently, a new classification of obesity is referred to as adiposity-based chronic disease (ABCD), which is based on its etiology, degree of adiposity, and associated health risks. Concurrently, the complications of obesity are influenced by two pathological processes: fat mass disease, which involves mechanical and physical forces, and sick fat disease, which pertains to endocrine and immune responses. The latter is associated with the activation of inflammatory responses that can lead to organ damage [13].
Chronic kidney disease (CKD) is a public health priority and a global concern, as it is projected to be among the top five causes of death by 2040. In many countries, the prevalence of CKD is underestimated due to insufficient screening measures to detect functional and structural renal abnormalities [14]. The progressive increase in the number of patients with CKD is also explained by the rise in cases of hypertension, metabolic syndrome (MS), and diabetes mellitus (DM) [15]. Thereby, Chang et al. describe that elevated BMI, waist circumference, and waist-to-height ratio are independent risk factors for a decline in glomerular filtration rate (GFR) and mortality in individuals with and without prior kidney disease [16].
The objective of this review is to focus on the importance of inflammation and the pathophysiological processes involved in the relationship between obesity and the development of kidney disease. Additionally, the various existing treatments and those currently under clinical trials are discussed.

2. Mechanisms Underlying Chronic Kidney Disease Development in Obesity

Obesity is an independent risk factor for the development of kidney disease, as it creates an environment of intraglomerular hypertension conditioned by many pathways. García-Carro et al. defined three main groups explaining the pathophysiological mechanisms of kidney disease in obesity: the hemodynamic, adipose tissue-related, and insulin resistance-hyperinsulinism pathways [17]. It is important that hemodynamic, adipose tissue-related, and insulin resistance pathways interact with each other and adapt to factors related to other comorbidities, such as age and sex (Figure 1).

2.1. The Hemodynamic Pathway

The hemodynamics of individuals with obesity are compromised in part secondary to the pathological hyperfiltration process associated with increased metabolic demands, the activity of the renin–angiotensin–aldosterone system (RAAS), the affinity of angiotensin II (Ang-II) receptors, fluid overload, and the positive feedback from the sympathetic nervous system [17].
The pathophysiological process includes vasodilation of the afferent arterioles and vasoconstriction of the efferent arterioles, associated with a reduction in tubuloglomerular feedback responsible for the vasoconstriction of the afferent arterioles [18]. The alteration of the renal sympathetic nervous system is also explained by the activation of chemoreceptors in the carotid bodies and, consequently, increased sympathetic activity [19,20]. Moreover, proximal tubular sodium reabsorption is increased, leading to diminished distal sodium delivery and stimulating the macula to increase renin secretion, thereby contributing to the perpetuation of the vicious cycle of hypertension and fluid overload [21].

2.2. Adipose Tissue-Related Pathway

Excessive accumulation of fat in patients with obesity enhances the endocrine and paracrine capabilities of adipocytes [22]. Visceral adipocytes also contain angiotensinogen, and their activity directly depends on the increase in BMI related to fat [23]. Adipocytes are responsible for the secretion of adipokines. Among the most important adipokines are leptin, adiponectin, tumor necrosis factor-α (TNF-α), resistin, interleukin-6 (IL-6), and plasminogen activator inhibitor 1 [24].
Adiponectin typically facilitates the oxidation of fatty acids and plays a crucial role in the regulation of glucose metabolism. This adipokine is primarily secreted by adipose tissue and is present in the bloodstream. Adiponectin levels are directly associated with renal function. Its physiological effects are mediated through receptors located in various tissues, including the arterial endothelium, smooth muscle cells of the kidney, and capillary endothelium [25]. In patients with obesity, there is an independent inverse association between albuminuria and adiponectin levels in nondiabetic individuals with overweight or obesity [26]. Thus, low levels of adiponectin also correlate with impaired fatty acid metabolism and insulin resistance. Studies in mice have shown that the deletion of adiponectin is associated with podocyte dysfunction, interstitial fibrosis, and albuminuria [27].
Unlike adiponectin, leptin levels are elevated in individuals with obesity and CKD, which represents a greater risk of hypertension, inflammation, and fibrosis [28]. Leptin enhances hypertension through the activation of the RAAS and increased sympathetic activity. Leptin also enhances fatty acid oxidation, the secretion of inflammatory cytokines such as monocyte chemoattractant protein-1 (MCP-1), and the formation of the NLRP3 inflammasome, exacerbating renal inflammation and fibrosis [29]. Studies have found that hyperleptinemia may contribute to the development of glomerulosclerosis and exert profibrotic effects on mesangial cells [28].
The activation of the NLRP3 inflammasome has been described in diabetes and obesity-related glomerulopathy (ORG), as hyperlipidemia and hyperglycemia activate the inflammasome through reactive oxygen species, mitochondrial damage, and stress [30,31]. At the renal level, the inflammasome acts in both the tubule-interstitium and glomeruli, promoting albuminuria through fibrosis and podocyte effacement [32].
Finally, the intestinal microbiota has also been identified as a key factor in the development of diseases such as obesity, T2DM, CKD, cardiovascular diseases, and certain types of cancer, due to its regulatory role in energy and immune balance [33]. Intestinal dysbiosis can be both caused and exacerbated by uremia, making CKD a contributing factor that is part of the vicious cycle of ongoing damage to the microbiota, alongside pro-inflammatory processes [34]. It has been observed that children with obesity present elevated levels of Bacteroides compared to the control group, and that quantitative and qualitative alterations of the intestinal microbiota are common in patients with CKD and end-stage renal disease (ESRD) [35,36].

2.3. Insulin Resistance–Hyperinsulinism Pathway

Insulin resistance is directly related to the visceral fat mass of individuals and the secretory activity of adipokines. The pro-inflammatory state of obesity inhibits insulin receptor substrate 1 (IRS-1) signaling pathways in adipose and muscle tissue, as well as limits the activity of peroxisome proliferator-activated receptor gamma (PPARγ), which is responsible for the processes of fat storage and lipid synthesis in adipose tissue [37].
Excessive insulin secretion interferes with podocyte and cytoskeleton activities [38]. Podocytes express glucose transporters (GLUT1, GLUT2, GLUT3, GLUT4, and GLUT8) and components of the insulin signaling cascade, such as IRS and the insulin receptor. Podocytes are capable of glucose uptake in response to insulin stimulation through GLUT4, as GLUT4 is the glucose transporter most sensitive to such stimuli [39,40]. Under normal conditions, insulin induces the rapid translocation of GLUT4 to the plasma membrane, promoting cytoskeletal remodeling and contraction, thereby facilitating the physiological response to glomerular pressure. Renal damage is manifested by the inability to phosphorylate AKT, which prevents the translocation of GLUT4 to the plasma membrane following insulin stimulation and, consequently, decreases glucose uptake. The deficiency of GLUT4 also suppresses the mammalian target of rapamycin (mTOR) pathway, resulting in a deficit in nutrient sensing [41]. Furthermore, insulin promotes tubulointerstitial fibrosis by enhancing the formation of type IV collagen and TGF-β in the renal tubules [38].

3. Effect of Obesity on Kidney

Obesity is one of the modifiable risk factors for the development of CKD. There is evidence linking obesity to CKD. According to reports, 14 individuals per 1000 adults in the United States have obesity associated with CKD. Additionally, between 20% and 30% of individuals with obesity suffer from kidney disease, and more than 20% of adults with ESRD are diagnosed with morbid obesity [42]. Furthermore, obesity is a factor that complicates access to kidney transplantation in patients with ESRD, as the risk of complications increases compared to recipients with a normal BMI [43,44]. While obesity is described as a risk factor for the development of kidney disease, there are phenotypes of obesity that also represent a risk for renal damage. In the meta-analysis conducted by Valizadeh et al., it is noted that healthy patients with overweight and obesity have a higher risk of renal dysfunction, refuting the previously established notion of the benignity of these phenotypes [45].
Remarkably, the previously mentioned inflammatory mechanisms contribute to changes in renal structure, both due to the accumulation of ectopic fat and the increase in fat within the renal sinus [46]. Furthermore, obesity is also a risk factor for renal lithiasis and renal neoplasms. Nephrolithiasis is associated with low urinary pH, increased urinary oxalate, uric acid, and other electrolytes, while insulin resistance promotes the production of insulin-like growth factor 1, which may exert stimulating effects on the growth of various types of tumor cells [47].
ORG represents the structural manifestation of renal damage directly attributable to excess body weight; histologically, it is characterized by structural alterations in both the glomerulus and the renal interstitium [48,49]. Despite the fact that the prevalence of obesity is continuously increasing, only a proportion of individuals with obesity develop ORG. This suggests that predisposing factors, such as genetic susceptibility or low nephron mass, modulate the individual vulnerability of patients to chronic damage [50]. The albuminuria associated with ORG may present with objective clinical findings such as hypertension and/or edema, or it may be asymptomatic [51]. Since the presence of albuminuria indicates existing renal damage, recent experimental studies are advancing transcriptomic analysis to facilitate the prompt diagnosis of ORG through non-invasive biomarkers [52].
ORG is characterized by glomerulomegaly, focal and segmental glomerulosclerosis (FSGS), and tubulointerstitial fibrosis. Glomerulomegaly is defined as the diffuse enlargement of glomerular size and is interpreted as a compensatory mechanism in response to increased demand for renal function [23]. Morphologically, there is an enlargement of the glomeruli compared to the mean glomerular diameter of patients without obesity, adjusted for age and sex [49]. Additionally, it is accompanied by mesangial expansion and podocyte hypertrophy with foot process fusion [23]. Perihilar predominant FSGS is characterized by partial and heterogeneous podocyte effacement, with proteinuria generally in the subnephrotic range. The clinical manifestations of ORG are often variable [53]. Obesity also promotes the deposition of lipids in mesangial cells, podocytes, and renal tubules, which in turn enhances fibrosis and tubulointerstitial atrophy [46,54]. Finally, metabolic stress, combined with factors such as hypertension or dysfunction of the renin–angiotensin axis, promotes fibrosis through the activation of TGF-β and other profibrotic pathways [23].

4. Obesity and Cardiovascular–Kidney–Metabolic Syndrome

Cardiovascular disease is a significant cause of morbidity and mortality in individuals with obesity. The cardiometabolic risk depends on the distribution of fat, with visceral adipose tissue representing the highest associated risk [55]. Remote and local adipose tissue also exert pro-atherogenic and pro-inflammatory effects in certain organs [56]. Obesity accelerates the process of atherosclerosis through various mechanisms, including insulin resistance and inflammation. Thus, atherosclerosis promotes the development of cardiovascular diseases, such as ischemic heart disease, stroke, and death [10].
The development of atherosclerosis begins in childhood, with endothelial dysfunction and damage to the tunica being its initial steps. Consequently, the endothelium expresses adhesion molecules such as vascular cell adhesion molecule-1 and MCP-1, which are responsible for recruiting inflammatory cells such as monocytes and lymphocytes. The recruited monocytes mature into macrophages that take up cholesterol particles. The resulting inflammatory response leads to the secretion of interleukins, which promote the synthesis of extracellular matrix, consolidating and propagating the development of atheromatous plaques [57].
Obesity is one of the risk factors for cardiovascular disease, as the pro-inflammatory state exacerbates vascular damage and the recruitment of inflammatory cells. Obesity is also associated with metabolic distress. Several studies have shown that a high BMI and/or the accumulation of abdominal fat increase cholesterol deposits in the coronary arteries and raise the risk of other comorbidities such as heart failure, atrial fibrillation, sleep apnea, and stroke [58].
Obesity, cardiovascular disease, and renal diseases are currently encompassed within a syndrome known as cardiovascular–kidney–metabolic syndrome (CKM) (Figure 2). The main objective of describing this new syndrome is to focus on the pro-inflammatory state within a set of pathologies with similar pathophysiological phenomena, stratify risk, and optimize treatments and preventive measures [59].

5. Obesity, Diabetes, and Their Link with Kidney Disease

DM has been rising over the past decade, with an estimated 643 million people diagnosed in 2023 [60]. However, this does not account for the undiagnosed patients with type 2 diabetes mellitus (T2DM) who are unaware that they have this condition, in part ascribed to delays in diagnosis or lack of access to diagnostic tools [42]. T2DM is the most common type of diabetes worldwide, accounting for 90% of cases, and is the result of decreased pancreatic beta-cell function and increased insulin resistance. Although genetics plays a role, it is now established that unhealthy lifestyles and lower socioeconomic status are among the main factors that contribute to the development of prediabetes and diabetes mellitus [61].
DM has a significant impact on quality of life and increases cardiovascular and overall mortality. There is a higher risk of macrovascular complications such as myocardial infarction, stroke, and peripheral vascular disease, while microvascular complications include diabetic retinopathy, diabetic nephropathy, and diabetic neuropathy [61,62]. The increase in adipose tissue in obesity leads to the previously mentioned pro-inflammatory state, promoting insulin resistance. As a result, the pancreas adjusts to insulin resistance by initially increasing insulin secretion. However, the microenvironment created by obesity—characterized by hypoxia, mitochondrial dysfunction, and fibrosis—increases oxidative stress, resulting in beta-cell dysfunction and eventually leading to reduced beta-cell mass [61].
Therefore, obesity and diabetes have a bidirectional and intertwined relationship that is enhanced by kidney disease: obesity decreases the function of beta cells, thereby increasing insulin resistance, which, in turn, leads to hyperglycemia and, consequently, to T2DM. Conversely, patients with T2DM who have higher baseline insulin resistance can contribute to obesity due to elevated insulin levels and increased hepatic gluconeogenesis [61]. There is also a correlation between obesity and DM in the risk of developing kidney and cardiovascular diseases [63].

6. Challenges of New Management Options for Obesity and Kidney Disease

6.1. Lifestyle Interventions and Traditional Drugs

Glucose monitoring, a healthy lifestyle, and regular exercise should be the first options and the cornerstones of treatment. Many overweight individuals and patients with obesity might also reverse this condition or delay disease progression [64].
Traditionally, the use of angiotensin-converting enzyme inhibitors (ACE inhibitors) or angiotensin II receptor antagonists (ARBs) has served as a fundamental treatment to slow the deterioration of renal function by reducing the state of renal hyperfiltration, as demonstrated by the RENAAL (losartan) and IDNT (ibersartan) studies. However, the residual risk, despite standard treatments, continues to be a risk factor for major adverse events [65,66].

6.2. The Emerging Treatments of Cardiovascular–Kidney–Metabolic Syndrome: Incretin-Based Therapies and Gliflozins

Glucagon-like peptide-1 (GLP-1) is a gastrointestinal peptide secreted by the intestinal tract that enhances insulin release and decreases glucagon concentration under normal physiological conditions. Therefore, it represents a class of drugs based on the entero-insular axis, capable of modulating insulinotropic activity [67]. GLP-1 receptor agonists work by decreasing gastric emptying and increasing the sensation of fullness, thereby improving weight loss in addition to lifestyle changes [68].
The benefits of GLP-1 are numerous. Firstly, it has been described as playing an important role in controlling inflammation and reducing endothelial dysfunction. Additionally, it improves lipid metabolism and lowers blood pressure due to its natriuretic effect [69,70]. Its cardiac benefits in reducing major adverse cardiac events (MACEs) have also been reflected in several studies, including the LEADER trial (Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes) [71], SUSTAIN-6 (Trial to Evaluate Cardiovascular and Other Long-term Outcomes With Semaglutide in Subjects With Type 2 Diabetes) [72], REWIND trial (Dulaglutide and Cardiovascular Outcomes in Type 2 Diabetes) [73], HARMONY Outcomes (Effects of Albiglutide on Major Cardiovascular Events In Patients With Type 2 Diabetes Mellitus) [74], SELECT trial (Semaglutide and Cardiovascular Outcomes in Obesity without Diabetes) [75], and SOUL trial (Oral Semaglutide and Cardiovascular Outcomes in High-Risk Type 2 Diabetes) [76].
Additionally, the renal benefits of GLP-1 have been described in patients with obesity, with or without T2DM, through studies such as the AMPLITUDE-O trial (Cardiovascular and Renal Outcomes with Efpeglenatide in Type 2 Diabetes), which demonstrated a reduction in albuminuria and less deterioration of renal function in the efpeglenatide group [77]. Additionally, the AWARD-7 trial (Dulaglutide versus insulin glargine in patients with type 2 diabetes and CKD) demonstrated a reduction in insulin use among patients treated with dulaglutide as well as a lower incidence of the combined endpoint of progression to ESKD or a reduction in glomerular filtration rate [78]. The LEADER and SUSTAIN-6 trials showed a reduction in MACE as well as a decrease in the progression of CKD due to a reduction in albuminuria [71,72]. The FLOW trial (Effect of semaglutide versus placebo on the progression of renal impairment in people with type 2 diabetes and chronic kidney disease) demonstrated that subcutaneous semaglutide was associated with a risk reduction in major adverse renal events (MARE) and death from cardiovascular causes in patients with T2DM and CKD [79]. The SMART (Semaglutide in patients with overweight or obesity and chronic disease without diabetes: a randomized double-blind placebo-controlled clinical) trial also established that semaglutide treatment for 24 weeks resulted in a clinically meaningful reduction in albuminuria in patients with overweight/obesity and non-diabetic CKD [80].
Sodium-glucose cotransporter-2 inhibitors (SGLT2i), also known as gliflozins or flozins, have proven to be a fundamental pillar in the treatment of CKM syndrome due to their inhibition of sodium and glucose reabsorption in the proximal convoluted tubule, promoting urinary glucose excretion and osmotic diuresis [81,82]. The success of this class of drugs is based on an insulin-independent mechanism that involves a competitive interaction between the SGLT2 protein and glucose binding in the renal tubules, followed by the transport of glucose across the basolateral membrane into the bloodstream [83].
There are sufficient clinical trials demonstrating the effectiveness of SGLT2i in the treatment of hyperglycemia, while also enhancing blood pressure control, promoting weight loss, and reducing the risk of developing MACE [84]. From a renal perspective, the CREDENCE (Canagliflozin and Renal Outcomes in Type 2 Diabetes with Established Nephropathy Clinical Evaluation) [85], the DAPA-CKD (Dapagliflozin and Prevention of Adverse Outcomes in Chronic Kidney Disease) [86], and the EMPA-KIDNEY (Empagliflozin in Patients with Chronic Kidney Disease) trials have shown a reduction in MARE, including decreases in albuminuria, mortality, and progression to CKD [87].
Although it is not from a group of drugs primarily used to treat obesity, finerenone is a highly selective non-steroidal mineralocorticoid receptor antagonist; its binding blocks the recruitment of transcriptional coactivators involved in the expression of pro-inflammatory and profibrotic factors. The FIDELIO-DKD (Effect of Finerenone on Chronic Kidney Disease Outcomes in Type 2 Diabetes) and the FIGARO-DKD (Cardiovascular Events with Finerenone in Kidney Disease and Type 2 Diabetes) studies demonstrated a reduction in MACE and MARE, along with a significant reduction in albuminuria levels compared to the control group [88,89].

6.3. Bariatric Surgery and Alternative Weight Loss Procedures

Bariatric surgery leads to favorable long-term outcomes, including reductions in body weight, decreased cardiovascular disease risk, improved glycemic control, and enhanced quality of life [90]. This surgery is offered to individuals with a BMI of ≥40 kg/m2 who struggle to lose weight despite lifestyle changes and exercise, or to those with a BMI of ≥35 Kg/m2 who have obesity-related comorbidities such as hypertension, T2DM or MS. Several studies have demonstrated improvements in estimated GFR and inflammatory biomarkers, as well as remission of albuminuria, following bariatric surgery [91,92,93,94]. Nevertheless, these invasive procedures are often associated with long-term side effects [91,95,96]. Other procedures, such as gastric emptying systems or intragastric balloons, have been proposed to achieve weight loss and, consequently, better glycemic control. However, studies regarding the long-term efficacy and safety of these devices are scarce [97].

6.4. Emerging Frontiers

Currently, there are no obesity biomarkers associated with the progression of CKD. Albuminuria remains one of the most reliable markers, but its presence indicates established structural damage. The literature regarding other biomarkers is relatively scarce. Nevertheless, microRNAs (such as microRNA-802, microRNA-155, microRNA-130b, and microRNA-21) are emerging as potential biomarkers for both obesity and the progression of CKD, as they can regulate pathways that culminate in inflammation and fibrosis in renal tissue [52].

6.5. Challenges

Obesity is a multifactorial and complex disease with numerous implications and consequences. Once kidney disease is established, reversing the inflammation and fibrosis caused by obesity is a matter of significant interest. Finerenone is one of the few drugs that allows for the reduction of renal inflammation and fibrosis. Studies are being conducted to verify its efficacy in non-diabetic CKD patients (FIND-CKD trial) [98].

6.6. Future Directions

Given the rapid increase in obesity prevalence, newer medications have been proposed, with recent studies highlighting the role of growth/differentiation factor 15 (GDF15). GDF15 belongs to the transforming growth factor-beta family, and when overexpressed, it leads to reductions in body weight and food intake in obese mice and monkeys. A dual analogue drug (GLP-1–GDF15) is being developed and has already demonstrated reductions in body weight, food intake, triglyceride levels, and glucose levels in obese mice and monkeys. This drug may constitute an important tool against obesity and kidney disease [5].

7. Conclusions

Obesity is associated with diseases that increase the morbidity and mortality of individuals. While obesity is related to the development of cardiovascular diseases and their associated complications, CKD is of vital importance, as it represents the continuation of the vicious cycle of inflammation, with bidirectional deleterious effects. Currently, obesity-focused treatments also benefit patients with diabetes, cardiovascular disease, and CKD. The key to these new treatments is breaking the toxic cycle of inflammation to reduce its adverse effects in both the short and long term. The treatment of CKD syndrome aims to improve the associated comorbidities of obesity through a holistic approach.

Author Contributions

J.L.-R. and M.J.S. collaborated on the original idea and review design. J.L.-R., M.J.S., A.E., S.N.-D., T.Á., M.L.-M. and J.R.-F. contributed to the review of papers. J.L.-R., M.J.S., A.E., S.N.-D., T.Á., M.L.-M., A.C., A.L. and J.R.-F. wrote this paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by, ISCIIII-FEDER and ISCIII RETICS REDinREN, grant number PI21/01292 and PI24/00852, INT24/00067, ERA PerMed JTC2022 grant number AC22/00029, Río Hortega CM23/00213, Marató TV3 421/C/2020, Marató TV3 215/C/2021, and RICORS RD21/0005/0016, RD24/0004/0031. Enfermedad Glomerular Compleja del Sistema Nacional de Salud (CSUR), enfermedades glomerulares complejas.

Acknowledgments

J.L.-R. performed this work within the framework of his thesis at the Departamento de Medicina de la Universidad Autónoma de Barcelona. Figures were created in BioRender.

Conflicts of Interest

M.J.S. reports personal fees from NovoNordisk, Jansen, Mundipharma, AstraZeneca, Esteve, Fresenius, Boehringer Ingelheim, Lilly, Vifor, ICU, Pfizer, Bayer, Travere Therapeutics, GE Healthcare, and grants and personal fees from Boehringer Ingelheim, outside the current study. J.R.-F. reports personal fees from NovoNordisk, AstraZeneca, Boehringer Ingelheim, Lilly, MSD, Merck, Bayer, Sanofi, and Eurofarma, outside the current study. A.C. has received speaking fees from AstraZeneca, Boehringer-Ingelheim, Eli-Lilly, Novo Nordisk, Sanofi, Menarini, and research grants from Eli Lilly, NovoNordisk, and Menarini. Member of the DMC of Boehringer Ingelheim. A.L. declares having received fees for conferences from AstraZeneca, Boehringer Ingelheim, Novo Nordisk, Eli Lilly and Pronokal; for clinical trials from Amgen, AstraZeneca, Boehringer Ingelheim, Lilly and Novo Nordisk; grants and scholarships for research from Diputació de Lleida, Instituto de Salud Carlos III and Pfizer; by Advisory Board from Boehringer Ingelheim, Eli Lilly, Novo Nordisk, Pronokal and by being contracted by the Institut Català de la Salut (ICS).

References

  1. Lingvay, I.; Cohen, R.V.; le Roux, C.W.; Sumithran, P. Obesity in adults. Lancet 2024, 404, 972–987. [Google Scholar] [CrossRef] [PubMed]
  2. World Health Organization. News-Room Fact-Sheets Detail Obesity and Overweight. Available online: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (accessed on 7 June 2025).
  3. Ng, M.; Gakidou, E.; Lo, J.; Abate, Y.H.; Abbafati, C.; Abbas, N.; Abbasian, M.; Abd ElHafeez, S.; Abdel-Rahman, W.M.; Abd-Elsalam, S.; et al. Global, regional, and national prevalence of adult overweight and obesity, 1990–2021, with forecasts to 2050: A forecasting study for the Global Burden of Disease Study 2021. Lancet 2025, 405, 813–838. [Google Scholar] [CrossRef] [PubMed]
  4. Kaboré, S.; Millogo, T.; Soubeiga, J.K.; Lanou, H.; Bicaba, B.; Kouanda, S. Prevalence and risk factors for overweight and obesity: A cross-sectional countrywide study in Burkina Faso. BMJ Open 2020, 10, e032953. [Google Scholar] [CrossRef] [PubMed]
  5. Yau, K.; Kuah, R.; Cherney, D.Z.I.; Lam, T.K.T. Obesity and the kidney: Mechanistic links and therapeutic advances. Nat. Rev. Endocrinol. 2024, 20, 321–335. [Google Scholar] [CrossRef]
  6. Rubino, F.; Cummings, D.E.; Eckel, R.H.; Cohen, R.V.; Wilding, J.P.H.; Brown, W.A.; Stanford, F.C.; Batterham, R.L.; Farooqi, I.S.; Farpour-Lambert, N.J.; et al. Definition and diagnostic criteria of clinical obesity. Lancet Diabetes Endocrinol. 2025, 13, 221–262. [Google Scholar] [CrossRef]
  7. Després, J.-P. Body Fat Distribution and Risk of Cardiovascular Disease: An update. Circulation 2012, 126, 1301–1313. [Google Scholar] [CrossRef]
  8. Busetto, L.; Dicker, D.; Frühbeck, G.; Halford, J.C.G.; Sbraccia, P.; Yumuk, V.; Goossens, G.H. A new framework for the diagnosis, staging and management of obesity in adults. Nat. Med. 2024, 30, 2395–2399. [Google Scholar] [CrossRef]
  9. Bremner, J.D.; Moazzami, K.; Wittbrodt, M.T.; Nye, J.A.; Lima, B.B.; Gillespie, C.F.; Rapaport, M.H.; Pearce, B.D.; Shah, A.J.; Vaccarino, V. Diet, Stress and Mental Health. Nutrients 2020, 12, 2428. [Google Scholar] [CrossRef]
  10. Powell-Wiley, T.M.; Poirier, P.; Burke, L.E.; Després, J.-P.; Gordon-Larsen, P.; Lavie, C.J.; Lear, S.A.; Ndumele, C.E.; Neeland, I.J.; Sanders, P.; et al. Obesity and Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation 2021, 143, e984–e1010. [Google Scholar] [CrossRef]
  11. Avgerinos, K.I.; Spyrou, N.; Mantzoros, C.S.; Dalamaga, M. Obesity and cancer risk: Emerging biological mechanisms and perspectives. Metabolism 2019, 92, 121–135. [Google Scholar] [CrossRef]
  12. Zhang, X.; Ma, N.; Lin, Q.; Chen, K.; Zheng, F.; Wu, J.; Dong, X.; Niu, W. Body Roundness Index and All-Cause Mortality Among US Adults. JAMA Netw. Open 2024, 7, e2415051. [Google Scholar] [CrossRef] [PubMed]
  13. Frühbeck, G.; Busetto, L.; Dicker, D.; Yumuk, V.; Goossens, G.H.; Hebebrand, J.; Halford, J.G.; Farpour-Lambert, N.J.; Blaak, E.E.; Woodward, E.; et al. The ABCD of Obesity: An EASO Position Statement on a Diagnostic Term with Clinical and Scientific Implications. Obes. Facts 2019, 12, 131–136. [Google Scholar] [CrossRef] [PubMed]
  14. Jager, K.J.; Kovesdy, C.; Langham, R.; Rosenberg, M.; Jha, V.; Zoccali, C. A single number for advocacy and communication—Worldwide more than 850 million individuals have kidney diseases. Kidney Int. 2019, 96, 1048–1050. [Google Scholar] [CrossRef] [PubMed]
  15. Kovesdy, C.P. Epidemiology of Chronic Kidney Disease: An Update in Kidney International Supplements; Elsevier B.V.: Amsterdam, The Netherlands, 2022; Volume 12, pp. 7–11. [Google Scholar]
  16. Chang, A.R.; Grams, M.E.; Ballew, S.H.; Bilo, H.; Correa, A.; Evans, M.; Gutierrez, O.M.; Hosseinpanah, F.; Iseki, K.; Kenealy, T.; et al. Adiposity and risk of decline in glomerular filtration rate: Meta-analysis of individual participant data in a global consortium. BMJ 2019, 364, k5301. [Google Scholar] [CrossRef]
  17. García-Carro, C.; Vergara, A.; Bermejo, S.; Azancot, M.A.; Sellarés, J.; Soler, M.J. A Nephrologist Perspective on Obesity: From Kidney Injury to Clinical Management. Front. Med. 2021, 8, 655871. [Google Scholar] [CrossRef]
  18. Griffin, K.A.; Kramer, H.; Bidani, A.K. Adverse renal consequences of obesity. Am. J. Physiol.-Ren. Physiol. 2008, 294, F685–F696. [Google Scholar] [CrossRef]
  19. Xu, X.; Huang, X.; Zhang, L.; Huang, X.; Qin, Z.; Hua, F. Adiponectin protects obesity-related glomerulopathy by inhibiting ROS/NF-κB/NLRP3 inflammation pathway. BMC Nephrol. 2021, 22, 218. [Google Scholar] [CrossRef]
  20. Hall, J.E.; do Carmo, J.M.; da Silva, A.A.; Wang, Z.; Hall, M.E. Obesity-Induced Hypertension. Circ. Res. 2015, 116, 991–1006. [Google Scholar] [CrossRef]
  21. Perdomo, C.M.; Cohen, R.V.; Sumithran, P.; Clément, K.; Frühbeck, G. Contemporary medical, device, and surgical therapies for obesity in adults. Lancet 2023, 401, 1116–1130. [Google Scholar] [CrossRef]
  22. Soták, M.; Clark, M.; Suur, B.E.; Börgeson, E. Inflammation and resolution in obesity. Nat. Rev. Endocrinol. 2025, 21, 45–61. [Google Scholar] [CrossRef]
  23. Hall, J.E.; do Carmo, J.M.; da Silva, A.A.; Wang, Z.; Hall, M.E. Obesity, kidney dysfunction and hypertension: Mechanistic links. Nat. Rev. Nephrol. 2019, 15, 367–385. [Google Scholar] [CrossRef] [PubMed]
  24. Briffa, J.F.; McAinch, A.J.; Poronnik, P.; Hryciw, D.H. Adipokines as a link between obesity and chronic kidney disease. Am. J. Physiol. Physiol. 2013, 305, F1629–F1636. [Google Scholar] [CrossRef] [PubMed]
  25. Przybyciński, J.; Dziedziejko, V.; Puchałowicz, K.; Domański, L.; Pawlik, A. Adiponectin in Chronic Kidney Disease. Int. J. Mol. Sci. 2020, 21, 9375. [Google Scholar] [CrossRef] [PubMed]
  26. Meyvis, K.; Verrijken, A.; Wouters, K.; Van Gaal, L. Plasma adiponectin level is inversely correlated with albuminuria in overweight and obese nondiabetic individuals. Metabolism 2013, 62, 1570–1576. [Google Scholar] [CrossRef]
  27. Fang, F.; Bae, E.H.; Hu, A.; Liu, G.C.; Zhou, X.; Williams, V.; Maksimowski, N.; Lu, C.; Konvalinka, A.; John, R.; et al. Deletion of the gene for adiponectin accelerates diabetic nephropathy in the Ins2 +/C96Y mouse. Diabetologia 2015, 58, 1668–1678. [Google Scholar] [CrossRef]
  28. Considine, R.V. Increased Serum Leptin Indicates Leptin Resistance in Obesity. Clin. Chem. 2011, 57, 1461–1462. [Google Scholar] [CrossRef]
  29. Zhao, J.; Rui, H.; Yang, M.; Sun, L.; Dong, H.; Cheng, H. CD36-Mediated Lipid Accumulation and Activation of NLRP3 Inflammasome Lead to Podocyte Injury in Obesity-Related Glomerulopathy. Mediat. Inflamm. 2019, 2019, 3172647. [Google Scholar]
  30. Rampanelli, E.; Orsó, E.; Ochodnicky, P.; Liebisch, G.; Bakker, P.J.; Claessen, N.; Butter, L.M.; Weerman, M.A.v.D.B.; Florquin, S.; Schmitz, G.; et al. Metabolic injury-induced NLRP3 inflammasome activation dampens phospholipid degradation. Sci. Rep. 2017, 7, 2861. [Google Scholar] [CrossRef]
  31. Ke, B.; Shen, W.; Fang, X.; Wu, Q. The NLPR3 inflammasome and obesity-related kidney disease. J. Cell. Mol. Med. 2017, 22, 16–24. [Google Scholar] [CrossRef]
  32. Yamamoto, T.; Takabatake, Y.; Takahashi, A.; Kimura, T.; Namba, T.; Matsuda, J.; Minami, S.; Kaimori, J.-Y.; Matsui, I.; Matsusaka, T.; et al. High-Fat Diet–Induced Lysosomal Dysfunction and Impaired Autophagic Flux Contribute to Lipotoxicity in the Kidney. J. Am. Soc. Nephrol. 2017, 28, 1534–1551. [Google Scholar] [CrossRef]
  33. Jiang, Z.; Wang, Y.; Zhao, X.; Cui, H.; Han, M.; Ren, X.; Gang, X.; Wang, G. Obesity and chronic kidney disease. Am. J. Physiol.-Endocrinol. Metab. 2023, 324, E24–E41. [Google Scholar] [CrossRef] [PubMed]
  34. Lovre, D.; Shah, S.; Sihota, A.; Fonseca, V.A. Managing Diabetes and Cardiovascular Risk in Chronic Kidney Disease Patients. Endocrinol. Metab. Clin. North Am. 2018, 47, 237–257. [Google Scholar] [CrossRef] [PubMed]
  35. Popkov, V.A.; Zharikova, A.A.; Demchenko, E.A.; Andrianova, N.V.; Zorov, D.B.; Plotnikov, E.Y. Gut Microbiota as a Source of Uremic Toxins. Int. J. Mol. Sci. 2022, 23, 483. [Google Scholar] [CrossRef] [PubMed]
  36. López-Contreras, B.E.; Morán-Ramos, S.; Villarruel-Vázquez, R.; Macías-Kauffer, L.; Villamil-Ramírez, H.; León-Mimila, P.; Vega-Badillo, J.; Sánchez-Muñoz, F.; Llanos-Moreno, L.E.; Canizalez-Román, A.; et al. Composition of gut microbiota in obese and normal-weight Mexican school-age children and its association with metabolic traits. Pediatr. Obes. 2018, 13, 381–388. [Google Scholar] [CrossRef]
  37. Arneth, B. Mechanisms of Insulin Resistance in Patients with Obesity. Endocrines 2024, 5, 153–165. [Google Scholar] [CrossRef]
  38. Piwkowska, A.; Rogacka, D.; Kasztan, M.; Angielski, S.; Jankowski, M. Insulin increases glomerular filtration barrier permeability through dimerization of protein kinase G type Iα subunits. Biochim. Biophys. Acta (BBA)-Mol. Basis Dis. 2013, 1832, 791–804. [Google Scholar] [CrossRef]
  39. Coward, R.; Fornoni, A. Insulin signaling. Curr. Opin. Nephrol. Hypertens. 2015, 24, 104–110. [Google Scholar] [CrossRef]
  40. Welsh, G.I.; Hale, L.J.; Eremina, V.; Jeansson, M.; Maezawa, Y.; Lennon, R.; Pons, D.A.; Owen, R.J.; Satchell, S.C.; Miles, M.J.; et al. Insulin Signaling to the Glomerular Podocyte Is Critical for Normal Kidney Function. Cell Metab. 2010, 12, 329–340. [Google Scholar] [CrossRef]
  41. Wasik, A.A.; Lehtonen, S. Glucose Transporters in Diabetic Kidney Disease—Friends or Foes? Front. Endocrinol. 2018, 9, 155. [Google Scholar] [CrossRef]
  42. Brauer, M.; A Roth, G.; Aravkin, A.Y.; Zheng, P.; Abate, K.H.; Abate, Y.H.; Abbafati, C.; Abbasgholizadeh, R.; Abbasi, M.A.; Abbasian, M.; et al. 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]
  43. Segev, D.L.; Simpkins, C.E.; Thompson, R.E.; Locke, J.E.; Warren, D.S.; Montgomery, R.A. Obesity Impacts Access to Kidney Transplantation. J. Am. Soc. Nephrol. 2008, 19, 349–355. [Google Scholar] [CrossRef] [PubMed]
  44. Jay, C.; Schold, J.D. Measuring Transplant Center Performance: The Goals Are Not Controversial but the Methods and Consequences Can Be. Curr. Transplant. Rep. 2017, 4, 52–58. [Google Scholar] [CrossRef] [PubMed]
  45. Valizadeh, M.; Ahmadi, A.R.; Abbaspour, F.; Valizadeh, A.; Syed Hasani, A.H.; Moteshakereh, S.M.; Nikoohemmat, M.; Abiri, B. The risk of kidney dysfunction in metabolically healthy/unhealthy population with normal weight or overweight/obesity: A systematic review and meta-analysis. Eat. Weight Disord.-Stud. Anorex. Bulim. Obes. 2024, 29, 69. [Google Scholar] [CrossRef]
  46. de Vries, A.P.J.; Ruggenenti, P.; Ruan, X.Z.; Praga, M.; Cruzado, J.M.; Bajema, I.M.; D’AGati, V.D.; Lamb, H.J.; Barlovic, D.P.; Hojs, R.; et al. Fatty kidney: Emerging role of ectopic lipid in obesity-related renal disease. Lancet Diabetes Endocrinol. 2014, 2, 417–426. [Google Scholar] [CrossRef] [PubMed]
  47. Kovesdy, C.P.; Furth, S.L.; Zoccali, C.; World Kidney Day Steering Committee. Obesity and kidney disease: Hidden consequences of the epidemic. Kidney Int. 2017, 91, 260–262. [Google Scholar] [CrossRef]
  48. D’AGati, V.D.; Chagnac, A.; de Vries, A.P.; Levi, M.; Porrini, E.; Herman-Edelstein, M.; Praga, M. Obesity-related glomerulopathy: Clinical and pathologic characteristics and pathogenesis. Nat. Rev. Nephrol. 2016, 12, 453–471. [Google Scholar] [CrossRef]
  49. Tsuboi, N.; Okabayashi, Y.; Shimizu, A.; Yokoo, T. The Renal Pathology of Obesity. Kidney Int. Rep. 2017, 2, 251–260. [Google Scholar] [CrossRef]
  50. Nawaz, S.; Chinnadurai, R.; Al-Chalabi, S.; Evans, P.; Kalra, P.A.; Syed, A.A.; Sinha, S. Obesity and chronic kidney disease: A current review. Obes. Sci. Pract. 2023, 9, 61–74. [Google Scholar] [CrossRef]
  51. Kambham, N.; Markowitz, G.S.; Valeri, A.M.; Lin, J.; D’AGati, V.D. Obesity-related glomerulopathy: An emerging epidemic. Kidney Int. 2001, 59, 1498–1509. [Google Scholar] [CrossRef]
  52. Navarro-Díaz, M.; López-Martínez, M. The Role of miRNAs as Early Biomarkers in Obesity-Related Glomerulopathy: Implications for Early Detection and Treatment. Biomedicines 2025, 13, 1030. [Google Scholar] [CrossRef]
  53. Kriz, W.; Lemley, K.V. A Potential Role for Mechanical Forces in the Detachment of Podocytes and the Progression of CKD. J. Am. Soc. Nephrol. 2015, 26, 258–269. [Google Scholar] [CrossRef]
  54. López-Martínez, M.; Armengol, M.P.; Pey, I.; Farré, X.; Rodríguez-Martínez, P.; Ferrer, M.; Porrini, E.; Luis-Lima, S.; Díaz-Martín, L.; Rodríguez-Rodríguez, A.E.; et al. Integrated miRNA–mRNA Analysis Reveals Critical miRNAs and Targets in Diet-Induced Obesity-Related Glomerulopathy. Int. J. Mol. Sci. 2024, 25, 6437. [Google Scholar] [CrossRef] [PubMed]
  55. Koskinas, K.C.; Van Craenenbroeck, E.M.; Antoniades, C.; Blüher, M.; Gorter, T.M.; Hanssen, H.; Marx, N.; McDonagh, T.A.; Mingrone, G.; Rosengren, A.; et al. Obesity and cardiovascular disease: An ESC clinical consensus statement. Eur. Heart J. 2024, 45, 4063–4098. [Google Scholar] [CrossRef] [PubMed]
  56. Polkinghorne, M.D.; West, H.W.; Antoniades, C. Adipose Tissue in Cardiovascular Disease: From Basic Science to Clinical Translation. Annu. Rev. Physiol. 2024, 86, 175–198. [Google Scholar] [CrossRef] [PubMed]
  57. Libby, P. The changing landscape of atherosclerosis. Nature 2021, 592, 524–533. [Google Scholar] [CrossRef]
  58. Lopez-Jimenez, F.; Almahmeed, W.; Bays, H.; Cuevas, A.; Di Angelantonio, E.; le Roux, C.W.; Sattar, N.; Sun, M.C.; Wittert, G.; Pinto, F.J.; et al. Obesity and cardiovascular disease: Mechanistic insights and management strategies. A joint position paper by the World Heart Federation and World Obesity Federation. Eur. J. Prev. Cardiol. 2022, 29, 2218–2237. [Google Scholar] [CrossRef]
  59. Ndumele, C.E.; Rangaswami, J.; Chow, S.L.; Neeland, I.J.; Tuttle, K.R.; Khan, S.S.; Coresh, J.; Mathew, R.O.; Baker-Smith, C.M.; Carnethon, M.R.; et al. Cardiovascular-Kidney-Metabolic Health: A Presidential Advisory From the American Heart Association. Circulation 2023, 148, 1606–1635. [Google Scholar] [CrossRef]
  60. Hossain, M.J.; Al-Mamun, M.; Islam, M.R. Diabetes mellitus, the fastest growing global public health concern: Early detection should be focused. Health Sci Rep. 2024, 7, e2004. [Google Scholar] [CrossRef]
  61. 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]
  62. Okunogbe, A.; Nugent, R.; Spencer, G.; Powis, J.; Ralston, J.; Wilding, J. Economic impacts of overweight and obesity: Current and future estimates for 161 countries. BMJ Glob. Health 2022, 7, e009773. [Google Scholar] [CrossRef]
  63. Moreno-Pérez, O.; Reyes-García, R.; Modrego-Pardo, I.; López-Martínez, M.; Soler, M.J. Are we ready for an adipocentric approach in people living with type 2 diabetes and chronic kidney disease? Clin. Kidney J. 2024, 17, sfae039. [Google Scholar] [CrossRef] [PubMed]
  64. Wadden, T.A.; Tronieri, J.S.; Butryn, M.L. Lifestyle modification approaches for the treatment of obesity in adults. Am. Psychol. 2020, 75, 235–251. [Google Scholar] [CrossRef] [PubMed]
  65. Brenner, B.M.; E Cooper, M.; de Zeeuw, D.; Grunfeld, J.-P.; Keane, W.F.; Kurokawa, K.; McGill, J.B.; E Mitch, W.; Parving, H.H.; Remuzzi, G.; et al. The losartan renal protection study—Rationale, study design and baseline characteristics of RENAAL (Reduction of Endpoints in NIDDM with the Angiotensin II Antagonist Losartan). J. Renin-Angiotensin-Aldosterone Syst. 2000, 1, 328–335. [Google Scholar] [CrossRef] [PubMed]
  66. Lewis, E.J. The role of angiotensin II receptor blockers in preventing the progression of renal disease in patients with type 2 diabetes. Am. J. Hypertens. 2002, 15, 123S–128S. [Google Scholar] [CrossRef]
  67. Wang, J.-Y.; Wang, Q.-W.; Yang, X.-Y.; Yang, W.; Li, D.-R.; Jin, J.-Y.; Zhang, H.-C.; Zhang, X.-F. GLP−1 receptor agonists for the treatment of obesity: Role as a promising approach. Front. Endocrinol. 2023, 14, 1085799. [Google Scholar] [CrossRef]
  68. 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]
  69. Méndez Fernández, A.B.; Vergara Arana, A.; Olivella San Emeterio, A.; Azancot Rivero, M.A.; Soriano Colome, T.; Soler Romeo, M.J. Cardiorenal syndrome and diabetes: An evil pairing. Front. Cardiovasc. Med. 2023, 10, 1185707. [Google Scholar] [CrossRef]
  70. Rico-Fontalvo, J.; Reina, M.; Soler, M.J.; Unigarro-Palacios, M.; Castañeda-González, J.P.; Quintero, J.J.; Raad-Sarabia, M.; de Moraes, T.P.; Daza-Arnedo, R. Kidney effects of Glucagon-Like Peptide 1 (GLP1): From molecular foundations to a pharmacophysiological perspective. Braz. J. Nephrol. 2024, 46, e20240101. [Google Scholar] [CrossRef]
  71. Marso, S.P.; Daniels, G.H.; Brown-Frandsen, K.; Kristensen, P.; Mann, J.F.E.; Nauck, M.A.; Nissen, S.E.; Pocock, S.; Poulter, N.R.; Ravn, L.S.; et al. Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes. N. Engl. J. Med. 2016, 375, 311–322. [Google Scholar] [CrossRef]
  72. Marso, S.P.; Bain, S.C.; Consoli, A.; Eliaschewitz, F.G.; Jódar, E.; Leiter, L.A.; Lingvay, I.; Rosenstock, J.; Seufert, J.; Warren, M.L.; et al. Semaglutide and Cardiovascular Outcomes in Patients with Type 2 Diabetes. N. Engl. J. Med. 2016, 375, 1834–1844. [Google Scholar] [CrossRef]
  73. Gerstein, H.C.; Colhoun, H.M.; Dagenais, G.R.; Diaz, R.; Lakshmanan, M.; Pais, P.; Probstfield, J.; Riesmeyer, J.S.; Riddle, M.C.; Rydén, L.; et al. Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): A double-blind, randomised placebo-controlled trial. Lancet 2019, 394, 121–130. [Google Scholar] [CrossRef] [PubMed]
  74. Green, J.B.; Hernandez, A.F.; D’Agostino, R.B.; Granger, C.B.; Janmohamed, S.; Jones, N.P.; Leiter, L.A.; Noronha, D.; Russell, R.; Sigmon, K.; et al. Harmony Outcomes: A randomized, double-blind, placebo-controlled trial of the effect of albiglutide on major cardiovascular events in patients with type 2 diabetes mellitus—Rationale, design, and baseline characteristics. Am. Heart J. 2018, 203, 30–38. [Google Scholar] [CrossRef] [PubMed]
  75. Lincoff, A.M.; Brown-Frandsen, K.; Colhoun, H.M.; Deanfield, J.; Emerson, S.S.; Esbjerg, S.; Hardt-Lindberg, S.; Hovingh, G.K.; Kahn, S.E.; Kushner, R.F.; et al. Semaglutide and Cardiovascular Outcomes in Obesity without Diabetes. N. Engl. J. Med. 2023, 389, 2221–2232. [Google Scholar] [CrossRef] [PubMed]
  76. McGuire, D.K.; Marx, N.; Mulvagh, S.L.; Deanfield, J.E.; Inzucchi, S.E.; Pop-Busui, R.; Mann, J.F.; Emerson, S.S.; Poulter, N.R.; Engelmann, M.D.; et al. Oral Semaglutide and Cardiovascular Outcomes in High-Risk Type 2 Diabetes. N. Engl. J. Med. 2025, 392, 2001–2012. [Google Scholar] [CrossRef]
  77. Gerstein, H.C.; Sattar, N.; Rosenstock, J.; Ramasundarahettige, C.; Pratley, R.; Lopes, R.D.; Lam, C.S.; Khurmi, N.S.; Heenan, L.; Del Prato, S.; et al. Cardiovascular and Renal Outcomes with Efpeglenatide in Type 2 Diabetes. N. Engl. J. Med. 2021, 385, 896–907. [Google Scholar] [CrossRef]
  78. Tuttle, K.R.; Lakshmanan, M.C.; Rayner, B.; Busch, R.S.; Zimmermann, A.G.; Woodward, D.B.; Botros, F.T. Dulaglutide versus insulin glargine in patients with type 2 diabetes and moderate-to-severe chronic kidney disease (AWARD-7): A multicentre, open-label, randomised trial. Lancet Diabetes Endocrinol. 2018, 6, 605–617. [Google Scholar] [CrossRef]
  79. Gragnano, F.; De Sio, V.; Calabrò, P. FLOW trial stopped early due to evidence of renal protection with semaglutide. Eur. Hear. J.-Cardiovasc. Pharmacother. 2024, 10, 7–9. [Google Scholar] [CrossRef]
  80. Apperloo, E.M.; Gorriz, J.L.; Soler, M.J.; Guldris, S.C.; Cruzado, J.M.; Puchades, M.J.; López-Martínez, M.; Waanders, F.; Laverman, G.D.; Beek, A.v.d.A.-V.d.; et al. Semaglutide in patients with overweight or obesity and chronic kidney disease without diabetes: A randomized double-blind placebo-controlled clinical trial. Nat. Med. 2025, 31, 278–285. [Google Scholar] [CrossRef]
  81. Vergara, A.; Jacobs-Cacha, C.; Llorens-Cebria, C.; Ortiz, A.; Martinez-Diaz, I.; Martos, N.; Dominguez-Báez, P.; Bosch, M.M.V.D.; Bermejo, S.; Pieper, M.P.; et al. Enhanced Cardiorenal Protective Effects of Combining SGLT2 Inhibition, Endothelin Receptor Antagonism and RAS Blockade in Type 2 Diabetic Mice. Int. J. Mol. Sci. 2022, 23, 12823. [Google Scholar] [CrossRef]
  82. Fonseca-Correa, J.I.; Correa-Rotter, R. Sodium-Glucose Cotransporter 2 Inhibitors Mechanisms of Action: A Review. Front. Med. 2021, 8, 777861. [Google Scholar] [CrossRef]
  83. Vergara, A.; Jacobs-Cachá, C.; Soler, M.J. Sodium-glucose cotransporter inhibitors: Beyond glycaemic control. Clin. Kidney J. 2019, 12, 322–325. [Google Scholar] [CrossRef] [PubMed]
  84. Iordan, L.; Gaita, L.; Timar, R.; Avram, V.; Sturza, A.; Timar, B. The Renoprotective Mechanisms of Sodium-Glucose Cotransporter-2 Inhibitors (SGLT2i)—A Narrative Review. Int. J. Mol. Sci. 2024, 25, 7057. [Google Scholar] [CrossRef] [PubMed]
  85. Perkovic, V.; Jardine, M.J.; Neal, B.; Bompoint, S.; Heerspink, H.J.L.; Charytan, D.M.; Edwards, R.; Agarwal, R.; Bakris, G.; Bull, S.; et al. Canagliflozin and Renal Outcomes in Type 2 Diabetes and Nephropathy. N. Engl. J. Med. 2019, 380, 2295–2306. [Google Scholar] [CrossRef] [PubMed]
  86. Heerspink, H.J.L.; Stefánsson, B.V.; Correa-Rotter, R.; Chertow, G.M.; Greene, T.; Hou, F.F.; Mann, J.F.E.; McMurray, J.J.V.; Lindberg, M.; Rossing, P.; et al. Dapagliflozin in Patients with Chronic Kidney Disease. N. Engl. J. Med. 2020, 383, 1436–1446. [Google Scholar] [CrossRef]
  87. The EMPA-KIDNEY Collaborative Group; Herrington, W.G.; Staplin, N.; Wanner, C.; Green, J.B.; Hauske, S.J.; Emberson, J.R.; Preiss, D.; Judge, P.; Mayne, K.J.; et al. Empagliflozin in Patients with Chronic Kidney Disease. N. Engl. J. Med. 2023, 388, 117–127. [Google Scholar]
  88. Bakris, G.L.; Agarwal, R.; Anker, S.D.; Pitt, B.; Ruilope, L.M.; Rossing, P.; Kolkhof, P.; Nowack, C.; Schloemer, P.; Joseph, A.; et al. Effect of Finerenone on Chronic Kidney Disease Outcomes in Type 2 Diabetes. N. Engl. J. Med. 2020, 383, 2219–2229. [Google Scholar] [CrossRef]
  89. Filippatos, G.; Anker, S.D.; Agarwal, R.; Ruilope, L.M.; Rossing, P.; Bakris, G.L.; Tasto, C.; Joseph, A.; Kolkhof, P.; Lage, A.; et al. Finerenone Reduces Risk of Incident Heart Failure in Patients With Chronic Kidney Disease and Type 2 Diabetes: Analyses From the FIGARO-DKD Trial. Circulation 2022, 145, 437–447. [Google Scholar] [CrossRef]
  90. Sjöström, L.; Narbro, K.; Sjöström, C.D.; Karason, K.; Larsson, B.; Wedel, H.; Lystig, T.; Sullivan, M.; Bouchard, C.; Carlsson, B.; et al. Effects of Bariatric Surgery on Mortality in Swedish Obese Subjects. N. Engl. J. Med. 2007, 357, 741–752. [Google Scholar] [CrossRef]
  91. Navarro-Díaz, M.; Serra, A.; Romero, R.; Bonet, J.; Bayés, B.; Homs, M.; Pérez, N.; Bonal, J. Effect of Drastic Weight Loss after Bariatric Surgery on Renal Parameters in Extremely Obese Patients. J. Am. Soc. Nephrol. 2006, 17, S213–S217. [Google Scholar] [CrossRef]
  92. Huang, H.; Lu, J.; Dai, X.; Li, Z.; Zhu, L.; Zhu, S.; Wu, L. Improvement of Renal Function After Bariatric Surgery: A Systematic Review and Meta-analysis. Obes. Surg. 2021, 31, 4470–4484. [Google Scholar] [CrossRef]
  93. Li, K.; Zou, J.; Ye, Z.; Di, J.; Han, X.; Zhang, H.; Liu, W.; Ren, Q.; Zhang, P.; Joles, J.A. Effects of Bariatric Surgery on Renal Function in Obese Patients: A Systematic Review and Meta Analysis. PLoS ONE 2016, 11, e0163907. [Google Scholar] [CrossRef] [PubMed]
  94. Morales, E.; Porrini, E.; Martin-Taboada, M.; Luis-Lima, S.; Vila-Bedmar, R.; de Pablos, I.G.; Gómez, P.; Rodríguez, E.; Torres, L.; Lanzón, B.; et al. Renoprotective role of bariatric surgery in patients with established chronic kidney disease. Clin. Kidney J. 2021, 14, 2037–2046. [Google Scholar] [CrossRef] [PubMed]
  95. Nofal, M.; Yousef, A.; Alkhawaldeh, I.; Al-Jafari, M.; Zuaiter, S.; Eddin, S.Z. Dumping Syndrome after Bariatric Surgery. Ann. Ital. Chir. 2024, 95, 522–533. [Google Scholar] [CrossRef] [PubMed]
  96. Gambioli, R.; Lepore, E.; Biondo, F.G.; Bertolani, L.; Unfer, V. Risks and limits of bariatric surgery: Old solutions and a new potential option. Eur. Rev. Med. Pharmacol. Sci. 2023, 27, 5831–5840. [Google Scholar]
  97. Gulinac, M.; Miteva, D.G.; Peshevska-Sekulovska, M.; Novakov, I.P.; Antovic, S.; Peruhova, M.; Snegarova, V.; Kabakchieva, P.; Assyov, Y.; Vasilev, G.; et al. Long-term effectiveness, outcomes and complications of bariatric surgery. World J. Clin. Cases 2023, 11, 4504–4512. [Google Scholar] [CrossRef]
  98. Heerspink, H.J.L.; Agarwal, R.; Bakris, G.L.; I Cherney, D.Z.; Lam, C.S.P.; Neuen, B.L.; A Sarafidis, P.; Tuttle, K.R.; Wanner, C.; Brinker, M.D.; et al. Design and baseline characteristics of the Finerenone, in addition to standard of care, on the progression of kidney disease in patients with Non-Diabetic Chronic Kidney Disease (FIND-CKD) randomized trial. Nephrol. Dial. Transplant. 2025, 40, 308–319. [Google Scholar] [CrossRef]
Figure 1. Pathophysiology of obesity. The mechanisms of renal disease in obesity. Three pathways have been described: hemodynamic, adipose tissue, and insulin resistance. These three pathways interact with each other, secreting adipokines and cytokines, activating the sympathetic nervous system, and promoting the pathological activation of the RAAS. All three pathways lead to renal damage, as the pro-inflammatory state and profibrotic factors favor glomerular hyperfiltration and, consequently, promote endothelial, podocyte, and tubular damage, increasing albuminuria excretion. RAAS: renin-angiotensin-aldosterone system. SNS: sympathetic nervous system. CKD: chronic kidney disease. TNF- α: tumor necrosis factor-α. IL: interleukin. PAI-1: plasminogen activator inhibitor 1.
Figure 1. Pathophysiology of obesity. The mechanisms of renal disease in obesity. Three pathways have been described: hemodynamic, adipose tissue, and insulin resistance. These three pathways interact with each other, secreting adipokines and cytokines, activating the sympathetic nervous system, and promoting the pathological activation of the RAAS. All three pathways lead to renal damage, as the pro-inflammatory state and profibrotic factors favor glomerular hyperfiltration and, consequently, promote endothelial, podocyte, and tubular damage, increasing albuminuria excretion. RAAS: renin-angiotensin-aldosterone system. SNS: sympathetic nervous system. CKD: chronic kidney disease. TNF- α: tumor necrosis factor-α. IL: interleukin. PAI-1: plasminogen activator inhibitor 1.
Ijms 26 06641 g001
Figure 2. The cardiovascular–kidney–metabolic syndrome. The cardiovascular–kidney–metabolic (CKM) syndrome is the result of diseases affecting the organs and systems previously discussed, following exposure to environmental and/or genetic factors. These factors promote a pro-inflammatory state, triggering chronic pathologies based on inflammation and fibrosis. In addition to increasing cardiovascular and renal risk, obesity interferes with sleep physiology and increases the risk of developing neoplasms. All these clinical manifestations are part of a vicious cycle where inflammation is the cornerstone of the pathological process.
Figure 2. The cardiovascular–kidney–metabolic syndrome. The cardiovascular–kidney–metabolic (CKM) syndrome is the result of diseases affecting the organs and systems previously discussed, following exposure to environmental and/or genetic factors. These factors promote a pro-inflammatory state, triggering chronic pathologies based on inflammation and fibrosis. In addition to increasing cardiovascular and renal risk, obesity interferes with sleep physiology and increases the risk of developing neoplasms. All these clinical manifestations are part of a vicious cycle where inflammation is the cornerstone of the pathological process.
Ijms 26 06641 g002
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

León-Román, J.; López-Martínez, M.; Esteves, A.; Ciudin, A.; Núñez-Delgado, S.; Álvarez, T.; Lecube, A.; Rico-Fontalvo, J.; Soler, M.J. Obesity-Related Kidney Disease: A Growing Threat to Renal Health. Int. J. Mol. Sci. 2025, 26, 6641. https://doi.org/10.3390/ijms26146641

AMA Style

León-Román J, López-Martínez M, Esteves A, Ciudin A, Núñez-Delgado S, Álvarez T, Lecube A, Rico-Fontalvo J, Soler MJ. Obesity-Related Kidney Disease: A Growing Threat to Renal Health. International Journal of Molecular Sciences. 2025; 26(14):6641. https://doi.org/10.3390/ijms26146641

Chicago/Turabian Style

León-Román, Juan, Marina López-Martínez, Alexandra Esteves, Andreea Ciudin, Sara Núñez-Delgado, Tiffany Álvarez, Albert Lecube, Jorge Rico-Fontalvo, and María José Soler. 2025. "Obesity-Related Kidney Disease: A Growing Threat to Renal Health" International Journal of Molecular Sciences 26, no. 14: 6641. https://doi.org/10.3390/ijms26146641

APA Style

León-Román, J., López-Martínez, M., Esteves, A., Ciudin, A., Núñez-Delgado, S., Álvarez, T., Lecube, A., Rico-Fontalvo, J., & Soler, M. J. (2025). Obesity-Related Kidney Disease: A Growing Threat to Renal Health. International Journal of Molecular Sciences, 26(14), 6641. https://doi.org/10.3390/ijms26146641

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop