Next Article in Journal
Impacts of Nano-Composite of Copper and Carbon on Intestinal Luminal Micro-Ecosystem and Mucosal Homeostasis of Yellow-Feather Broilers
Previous Article in Journal
Antibacterial, Herbicidal, and Plant Growth-Promoting Properties of Streptomyces sp. STD57 from the Rhizosphere of Adenophora stricta
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Bidirectional Relationship Between Cardiovascular Medications and Oral and Gut Microbiome Health: A Comprehensive Review

by
Gangani Dharmarathne
1,
Samia Kazi
2,3,
Shalinie King
2,4 and
Thilini N. Jayasinghe
4,5,*
1
Australian Laboratory Services Global, Water and Hydrographic, Hume, ACT 2620, Australia
2
Westmead Applied Research Centre, The University of Sydney, Sydney, NSW 2145, Australia
3
Department of Cardiology, Westmead Hospital, Sydney, NSW 2145, Australia
4
The Sydney Dental School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
5
The Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
*
Author to whom correspondence should be addressed.
Microorganisms 2024, 12(11), 2246; https://doi.org/10.3390/microorganisms12112246
Submission received: 26 September 2024 / Revised: 31 October 2024 / Accepted: 4 November 2024 / Published: 6 November 2024
(This article belongs to the Section Microbiomes)

Abstract

:
Cardiovascular diseases (CVDs) are a leading cause of widespread morbidity and mortality. It has been found that the gut and oral microbiomes differ in individuals with CVDs compared to healthy individuals. Patients with CVDs often require long-term pharmacological interventions. While these medications have been extensively studied for their cardiovascular benefits, emerging research indicates that they may also impact the diversity and composition of the oral and gut microbiomes. However, our understanding of how these factors influence the compositions of the oral and gut microbiomes in individuals remains limited. Studies have shown that statins and beta-blockers, in particular, cause gut and oral microbial dysbiosis, impacting the metabolism and absorption of these medications. These alterations can lead to variations in drug responses, highlighting the need for personalized treatment approaches. The microbiome’s role in drug metabolism and the impact of CVD medications on the microbiome are crucial in understanding these variations. However, there are very few studies in this area, and not all medications have been studied, emphasizing the necessity for further research to conclusively establish cause-and-effect relationships and determine the clinical significance of these interactions. This review will provide evidence of how the oral and gut microbiomes in patients with cardiovascular diseases (CVDs) interact with specific drugs used in CVD treatment.

1. Introduction

The term “cardiovascular disease” (CVD) refers to a broad range of illnesses that affect the heart and arteries. It stands out as one of the primary causes of mortality globally; as reported by the World Health Organization (WHO) in 2019, CVDs claimed the lives of 17.9 million individuals worldwide, constituting 32% of all fatalities [1]. From a scientific perspective, CVDs’ causation primarily involves the intricate interplay of multiple factors, including the cardiovascular system, genetics, and lifestyle choices [2]. This category of diseases includes a range of disorders, such as coronary artery disease (CAD), stroke, heart failure, and peripheral arterial disease [2]. CAD, the most prevalent form of cardiovascular illness, develops when the coronary arteries responsible for supplying blood to the heart narrow or become blocked due to the buildup of plaques [3]. This can lead to chest pain or discomfort, medically known as angina [4], or it may cause a complete blockage, resulting in a heart attack. Additional CVDs include heart failure, where the heart’s ability to pump blood efficiently is compromised [5,6]; arrhythmias, which denote abnormal heart rhythms [4,7]; and valvular heart disease, characterized by issues with the heart valves [8,9].
The human microbiome refers to the vast community of microorganisms residing in and on the human body, including their genetic material. This diverse array of microorganisms comprises bacteria, viruses, fungi, and various other microbes [10]. The human microbiome is incredibly diverse, with trillions of microorganisms primarily residing in the gut and oral cavity [11].
The gut microbiome pertains to the microbial population residing in the gastrointestinal tract, encompassing the stomach, small intestine, and large intestine (colon) [12]. It is estimated that there are more than 1000 different species of bacteria in the human gut, and everyone has a unique composition of microbes [13]. These bacteria play vital roles in regulating the immune system and facilitating nutrient absorption and digestion. Additionally, they contribute to the synthesis of essential substances and vitamins (e.g., vitamin K, vitamin B12 and folic acid), as well as other crucial compounds, such as short-chain fatty acids (SCFAs) and essential amino acids (e.g., isoleucine, leucine, and valine), that the human body cannot produce on its own [14].
The oral microbiome, on the other hand, comprises the community of microorganisms that inhabit the mouth and oral cavity, including various species of bacteria, fungi, and viruses [15]. The oral environment is highly diverse and dynamic, influenced by factors such as oral hygiene practices, diet, and overall health [16]. Within the oral microbiome, there exists a balance of both beneficial and harmful bacteria. Some bacteria play a crucial role in maintaining oral health by preventing the overgrowth of harmful species and contributing to the defense against pathogens. However, an imbalance in the oral microbiome can lead to oral diseases such as dental caries (cavities) and periodontal (gum) disease [17].
Interactions between the microbiome and the host play a critical role in shaping human health and have far-reaching implications for the development of various diseases. The microbiome, particularly in the gut, is a complex ecosystem composed of more than 100 trillion (~4 × 1013) of microorganisms that coexist with the human host in a mutually beneficial relationship [18,19]. These interactions exert profound effects on numerous aspects of human physiology and contribute to overall well-being [20,21]. However, disruptions or imbalances in the composition of the microbiome, known as dysbiosis, have been associated with a range of diseases. Inflammatory bowel diseases, including Crohn’s disease and ulcerative colitis, have been linked to dysbiosis in the gut microbiome [22]. Other conditions, such as obesity, CVDs, type 2 diabetes, allergies, autoimmune disorders, and certain types of cancer, have also been associated with an altered microbiome composition [23,24].
The relationship between CVD medications and the human microbiome is an area of growing interest. Emerging research indicates that cardiovascular disease medications can influence the microbiome, affecting its abundance and diversity [25,26,27,28,29]. Statins, in particular, have been associated with changes in the gut microbiome, affecting the bacterial abundance and diversity [30,31,32]. While the direct effects of antiplatelet agents on the microbiome require further investigation, emerging evidence suggests potential interactions [33,34].
This review aims to understand how CVD medications interact with the microbiome to uncover insights into their therapeutic effects and aid in developing personalized cardiovascular health management.

2. Overview of the Human Microbiome

The development of the human microbiome begins shortly after birth, with a major dose of microbial exposure occurring during delivery, introducing the infant to a significant microbial population for the first time [35,36]. The initial microbial colonization is influenced by several factors. For instance, the method of delivery plays a crucial role, with vaginal births exposing infants to their mother’s vaginal and fecal microbiota, whereas cesarean sections result in different microbial exposure [34]. Exposure to antibiotics during pregnancy, childbirth, or infancy can disrupt microbiome development by altering the bacterial balance [37]. Environmental factors, such as the living conditions and exposure to pets, introduce various microorganisms to infants, further influencing the microbiome’s composition [37,38]. Additionally, the type of feeding, whether breast milk or formula, significantly affects the microbiome composition [13]. These early factors not only shape an individual’s microbiome but also continue to impact its development and stability throughout their life. The gut microbiome undergoes significant changes from birth to age three, becoming more diverse and stable to resemble that of an adult, thereby highlighting the profound link between early life experiences and long-term microbiome health [34,35,36,37].
The oral microbiome undergoes significant changes throughout an individual’s life, adapting to the evolving conditions within the oral cavity and the external environment [37,39]. Common bacteria found in the oral microbiome include Streptococcus mutans, Porphyromonas gingivalis, Prevotella melaninogenica, Fusobacterium nucleatum, Streptococcus salivarius, and Veillonella atypica [40,41]. In contrast, the gut microbiome exhibits greater complexity and diversity. The most prevalent bacterial phyla in the gut include Firmicutes, Bacteroidetes, Proteobacteria, and Actinobacteria [42].

3. The Microbiome and CVD

Bacterial DNA and viable bacteria in atherosclerotic plaques, which are deposits of fatty substances in the arteries, suggest a possible link between bacterial infections and the development or progression of atherosclerosis [43,44]. The gut and oral microbiomes play a critical role in cardiovascular health, with specific bacterial species and their metabolites being linked to the development and progression of CVDs (Figure 1) [45]. Microbial metabolites, such as trimethylamine N-oxide (TMAO), have been linked to increased cardiovascular risks by influencing cholesterol metabolism and promoting thrombosis [46]. TMAO is produced by gut bacteria during the digestion of certain dietary nutrients, such as choline and carnitine, which are found in foods like red meat, eggs, and dairy products [47]. Certain gut bacteria (Clostridium and Enterobacteriaceae) metabolize these dietary compounds, such as choline and carnitine, together with phosphatidylcholine and into trimethylamine (TMA), which is subsequently converted to TMAO in the liver [48]. TMAO disrupts cholesterol’s metabolism by increasing the cholesterol deposition in the arterial walls and inhibiting reverse cholesterol transport, both of which contribute to the development of atherosclerosis [49]. Additionally, TMAO enhances platelet reactivity, raising the likelihood of blood clots forming and subsequently increasing the risk of thrombosis [50,51,52]. Gut dysbiosis has also been linked to chronic inflammation, further exacerbating CVDs. Reduced populations of beneficial bacteria such as Bifidobacterium longum and Lactobacillus rhamnosus can compromise gut barrier integrity, leading to “leaky gut” syndrome [53,54]. This allows endotoxins, such as lipopolysaccharides (LPS) from Gram-negative bacteria like Escherichia coli, to enter the bloodstream [54]. Once in circulation, these endotoxins trigger systemic inflammation, contributing to endothelial dysfunction and promoting atherosclerosis [55]. Maintaining a balanced gut microbiome is therefore vital in managing and reducing the risk of cardiovascular diseases.
While the gut microbiome has received more attention in relation to CVDs, there is also ongoing research exploring the potential role of the oral microbiome. Poor oral hygiene and oral diseases, such as periodontal disease, have been associated with an increased risk of CVDs [56]. Roca et al. (2018) found a positive association between periodontal disease and the risk of CVDs, independently of traditional cardiovascular risk factors [57]. Oral bacteria with pathogenic characteristics, especially those linked to periodontal diseases, have the ability to enter the bloodstream [58]. Certain oral bacteria, such as P. gingivalis, invade host tissue, evade immune defenses, and trigger chronic inflammation through the activation of Toll-like receptors (TLRs), leading to the release of proinflammatory cytokines such as tumor necrosis factor-α (TNF-α) and IL-6 [59]. Additionally, the bacteria trigger the release of proinflammatory mediators, such as TNF, interleukins (IL-1, IL-6, IL-8), and reactive oxygen species [60]. These mediators, along with microbial by-products, enter the systemic circulation either through swallowing or directly via the blood vessels surrounding the teeth. Once in the bloodstream, they increase systemic inflammation and stimulate the liver to release acute-phase proteins, including C-reactive protein (CRP), pentraxin, and fibrinogen [61]. These proteins, particularly CRP and fibrinogen, contribute to increased blood viscosity, endothelial injury, platelet aggregation, and altered lipid metabolism, all of which elevate the risk of atherosclerosis and thrombus formation [62]. These processes ultimately narrow blood vessels, reducing the blood flow to the heart and other organs, raising the likelihood of cardiovascular complications.
Moreover, Treponema denticola, often found in periodontal disease, produces proteases that degrade host tissue and activate immune responses, leading to the increased production of proinflammatory cytokines [63]. These cytokines contribute to endothelial dysfunction [64,65]. Tannerella forsythia has been shown to stimulate immune cells, promoting chronic inflammation and contributing to endothelial dysfunction [66]. These bacteria and their toxins, such as lipopolysaccharides (LPS) from P. gingivalis or proteases from T. denticola, enter the bloodstream, where they directly damage the endothelial lining of blood vessels [66]. This damage impairs the normal function of endothelial cells, which are responsible for maintaining vascular health. Endothelial dysfunction is a critical early event in the formation of atherosclerotic plaques, which can eventually narrow arteries and restrict blood flow [58,67]. Moreover, gum disease (periodontitis) has been linked to endothelial dysfunction, a precursor to atherosclerosis, suggesting a potential pathway through which oral health may impact cardiovascular health [68].

4. Cardiovascular Medications and Microbiome Alterations

Cardiovascular disease continues to be a leading cause of death, and the management of this condition heavily relies on pharmacological interventions. The selection of specific medications is intricately influenced by factors such as the type and severity of the CVD, individual patient characteristics, risk assessments, efficacy, safety profiles, patient preferences, and adherence. The medications used in the treatment of CVDs can be categorized into different groups based on their specific roles in CVD management, as shown in Figure 2 and Table 1.
Cardiovascular medications can induce significant shifts in the gut and oral microbiota, impacting not only the microbial balance but also drug efficacy and patient outcomes. For example, antiplatelet agents like aspirin are known to reduce beneficial bacteria such as Akkermansia muciniphila, which plays a key role in maintaining gut barrier integrity [69]. A reduction in this bacterium can lead to increased gut permeability, promoting systemic inflammation and potentially reducing aspirin’s antithrombotic efficacy [25]. While aspirin does not exhibit direct antibacterial effects, its impacts on the gut pH and immune response may selectively affect certain microbial populations [70]. Similarly, Ticagrelor, another antiplatelet drug, increases the abundance of Proteobacteria, a bacterial group associated with inflammation, which may undermine its platelet-inhibitory effects [71]. Statins like atorvastatin have been shown to decrease Faecalibacterium prausnitzii, a key anti-inflammatory microbe, while increasing Bacteroides species, a change that could interfere with lipid metabolism, possibly reducing the drug’s ability to lower cholesterol effectively and increasing the risk of metabolic side effects [72]. These effects are primarily indirect, arising from the modulation of bile acid metabolism and lipid profiles, which can create an environment more favorable to certain bacterial groups over others [72]. Moreover, studies have shown that statins can reduce the growth of specific bacteria, like Helicobacter pylori and other pathogenic strains, due to their ability to interfere with cell membranes [73]. This effect could indirectly disrupt the gut microbial balance, leading to the reduced diversity or loss of certain beneficial species.
In addition, beta-blockers and angiotensin-converting enzyme (ACE) inhibitors also alter the microbial landscape. Beta-blockers tend to decrease the overall microbial diversity, potentially leading to a less resilient gut microbiota, which may diminish their long-term antihypertensive effects [74]. Some beta-blockers, like propranolol, have shown slight antibacterial effects against specific strains such as E. coli [75]. These effects can still influence the bacterial composition by reducing certain populations, which could indirectly affect gut and metabolic health. ACE inhibitors, like lisinopril and enalapril, reduce beneficial bacteria such as Lactobacillus and Bifidobacterium, promoting gut dysbiosis and inflammation, which can impair gut health and affect blood pressure regulation [76,77]. While not directly bactericidal, ACE inhibitors may influence the microbiota composition by impacting intestinal immune responses and gut permeability [76]. These microbial changes can not only affect how drugs are metabolized but also influence patients’ susceptibility to side effects, highlighting the importance of considering the microbiome composition in optimizing cardiovascular treatment strategies.
Moreover, angiotensin II receptor blockers (ARBs) like losartan are known to boost the levels of A. muciniphila, a beneficial bacterium that strengthens the gut barrier and enhances the drug’s ability to lower blood pressure [77,78]. ARBs exert their influence primarily by enhancing gut barrier function, indirectly favoring the growth of A. muciniphila and similar bacteria [79]. On the other hand, calcium channel blockers such as amlodipine tend to shift the gut microbial balance by increasing Firmicutes and reducing Bacteroidetes, potentially causing gastrointestinal disturbances and altering how these medications are absorbed and metabolized [80]. Diuretics, like furosemide, can lead to a reduction in beneficial bacteria such as Lactobacillus and Bifidobacterium, which may result in increased gut permeability and inflammation [81,82]. This shift likely occurs through changes in the electrolyte and water balance in the gut environment, affecting bacterial populations indirectly [82]. This can compromise the diuretic’s effectiveness in managing fluid retention and heart failure symptoms [83]. Additionally, anticoagulants like warfarin can interfere with the gut’s production of vitamin K by altering the bacteria involved in its synthesis, potentially affecting blood clotting and increasing the risk of bleeding or thrombotic complications [84,85]. These interactions highlight the complex relationship between cardiovascular medications and the microbiome, underscoring the need for personalized treatment strategies that account for individual microbiota variations.
Table 1. Various medications used in CVD treatment and their specific roles.
Table 1. Various medications used in CVD treatment and their specific roles.
GroupDrug TypesSpecific RoleMicrobiome AlterationsReference
Antiplatelet agentsAspirin (Acetylsalicylic Acid), Clopidogrel, Ticagrelor, Prasugrel Reduce the risk of thrombus formation by preventing the aggregation of platelets and inhibit platelet aggregation.Gut: Reduce beneficial bacteria like Akkermansia muciniphila and increase Proteobacteria (Ticagrelor). Indirectly affect microbiota through gut immune modulation.[69,86,87,88]
Statins (HMG-CoA reductase inhibitors)Atorvastatin, Simvastatin, Rosuvastatin, Lovastatin By lowering LDL-C (improving the lipid profile), it decreases the risk of cardiovascular events such as acute coronary syndromes and stroke.Gut: Decrease Faecalibacterium prausnitzii and increase Bacteroides. Indirect alterations through bile acid metabolism.
Oral: Reduction in periodontal pathogens such as P. gingivalis.
[72,89,90,91]
Beta-blockersMetoprolol, Atenolol, Propranolol, Bisoprolol Lower heart rate and blood pressure, decrease the force of contraction (negative ionotropic response), and manage conditions such as hypertension, angina, and arrhythmias.Gut: Decrease gut microbial diversity indirectly.
Oral: Alterations in the composition of the oral microbiome in individuals with periodontitis.
[74,92,93,94,95]
Angiotensin-converting enzyme (ACE) inhibitorsLisinopril, Enalapril, Ramipril, CaptoprilLower blood pressure, reduce the strain on the heart, and block the production of angiotensin II. Inhibit the renin angiotensin aldosterone pathway (RAAS), resulting in hypotension and preventing cardiac remodeling. Gut: Reduce Lactobacillus and Bifidobacterium abundance. [76,77,96,97]
Angiotensin II receptor blockers (ARBs)Losartan, Valsartan, Olmesartan, Candesartan Reduce blood pressure by blocking the action of angiotensin II on blood vessels and improve the heart’s pumping ability. Inhibit the RAAS, resulting in hypotension and preventing cardiac remodeling.Gut: Increase A. muciniphila. [77,78,98,99,100]
Calcium channel blockersAmlodipine, Diltiazem, Verapamil, NifedipineReduce blood pressure by relaxing and dilating the arterial walls, improve blood supply to the heart, and reduce the myocardial oxygen demand.Gut: Increase Firmicutes and decrease Bacteroidetes.[80,101]
Diuretics Hydrochlorothiazide, Furosemide, Chlorthalidone, SpironolactoneBy increasing the production of urine, diuretics work on different components of the renal tract to remove excess fluid, reducing the cardiac preload and relieving symptoms of heart failure. Gut: Reduce Lactobacillus and Bifidobacterium abundance.[81,102]
Nitroglycerin and nitratesNitroglycerin, Isosorbide dinitrate, Isosorbide MononitrateProvide rapid relief from angina attacks, reduce chest pain, and improve blood flow to the heart during critical situations. [103,104]
AnticoagulantsWarfarin, Apixaban, Rivaroxaban, Edoxaban Prevent cardioembolic phenomena including strokes in high-risk conditions such as atrial fibrillation or mitral stenosis.Gut: Affect vitamin K-producing bacteria. [84,85,105,106]
AntiarrhythmicsAmiodarone, Flecainide, Propafenone, Sotalol Restore the heart’s normal rhythm in patients with arrhythmias and alleviate symptoms associated with rapid and irregular heart rates. [107,108]

5. The Role of the Microbiome in the CVD Medication Response

Individual patients exhibit significant variability in their responses to medications, and adverse events related to drug use contribute substantially to morbidity and mortality [109,110]. This has sparked strong interest in comprehending the host and environmental factors that underline variations in drug responses and the occurrence of adverse events [111,112]. These factors include age, sex, nutritional status, and disease states, as well as genetic and environmental exposures, all of which collectively influence how individuals respond to drug therapies [111,112]. Increasingly, microbiomes are gaining recognition as an often-overlooked contributor to the diversity in drug metabolism and pharmacological efficacy (Figure 3). In particular, the gut microbiome is postulated to influence the response to cardiovascular drugs through several mechanisms, although the precise nature of these interactions is still a subject of ongoing research.
Certain gut microbiomes have been identified as key players in the metabolism of cardiovascular drugs, impacting their efficacy and safety. For instance, Eggerthella lenta is known to inactivate digoxin, a heart medication used to treat heart failure, by reducing it into less active forms [113]. This microbial interaction can diminish the drug’s therapeutic effects, leading to suboptimal outcomes [114]. Similarly, Bacteroides species are involved in the metabolism of statins, commonly used to lower cholesterol levels. These bacteria can modulate statins’ bioavailability, affecting the drug’s cholesterol-lowering efficacy [115,116]. Another example is A. muciniphila, which can enhance the efficacy of certain antihypertensive drugs by improving drug absorption [117]. Additionally, Clostridium and Lactobacillus species have been shown to metabolize beta-blockers, impacting their pharmacokinetics and potentially altering blood pressure control [25,118]. These interactions underscore the complexity of drug–microbiome relationships (Figure 3) and highlight the need for personalized approaches in cardiovascular treatment based on individual microbiome profiles.
The oral microbiome significantly impacts the metabolism and effectiveness of cardiovascular medications, often through indirect mechanisms. For instance, P. gingivalis, a major player in periodontal disease, is known to exacerbate systemic inflammation. This heightened inflammatory state may decrease the efficacy of antiplatelet drugs such as aspirin and clopidogrel by enhancing the resistance to their anti-inflammatory effects [119,120]. Another example is Streptococcus mutans, an important driver of dental caries, which can affect the metabolism of nitrate-based medications [121]. These drugs, used to treat angina, rely on nitrate-to-nitrite conversion in the saliva, a process that may be disrupted by bacterial activity, thereby altering drug performance in blood pressure regulation [121]. Additionally, F. nucleatum has been linked to systemic conditions like increased blood viscosity and endothelial dysfunction [122]. Such effects can indirectly diminish the efficacy of anticoagulants like warfarin, potentially leading to a higher risk of thrombosis [123]. These examples demonstrate that oral bacteria not only contribute to local oral health issues but can also influence the pharmacodynamics of cardiovascular medications, making the oral microbiome an essential factor in personalized CVD treatment strategies.

5.1. Drug Metabolism and Bioactivation

Drug metabolism and bioactivation refer to the processes through which drugs undergo modification and transformation within the body. These alterations can serve either to facilitate elimination or to allow the drugs to become pharmacologically active [124,125]. Such processes play a crucial role in determining a drug’s efficacy, safety, and duration of action [126,127]. Although drug metabolism primarily occurs in the liver, other organs and tissue types, and also the gut microbiome, contribute to drug metabolism [128,129,130]. Within the gut microbiome, various enzymes capable of metabolizing drugs exist [131,132]. This microbial metabolism has the potential to transform inactive drug compounds into active forms or modify drugs to either enhance or reduce their effectiveness (Figure 4) [133]. For example, the gut microbiome can activate specific prodrugs, such as clopidogrel, into their active forms [134].
Conversely, microbial metabolism can also lead to the inactivation or degradation of certain drugs [135]. Zimmermann et al. (2020) conducted a study highlighting the role of gut microbial metabolism in the inactivation of the antiplatelet drug clopidogrel [136]. Clopidogrel is commonly prescribed to prevent cardiovascular events in patients with atherosclerotic diseases. Their research revealed that specific bacterial species within the gut microbiome, such as E. lenta, possess the capability to metabolize clopidogrel into its inactive form [136]. Additionally, the team identified a key bacterial enzyme, β-glucuronidase, responsible for this microbial-mediated metabolism [136].
Phase I and phase II drug metabolism are two distinct processes involved in the biotransformation of drugs within the body. Phase I metabolism involves various enzymes, such as cytochrome P450 (CYP) enzymes, which catalyze reactions such as oxidation, reduction, and hydrolysis [137]. These reactions modify drugs, making them more polar and preparing them for further transformation or excretion. Interestingly, the gut microbiome, particularly certain bacterial species such as E. coli and Clostridium leptum, also contains enzymes with similar functions. Microbial metabolism in the gut can contribute to the phase I metabolism of drugs, leading to the formation of metabolites that may be more or less active than the parent drug [138,139]. Subsequently, these microbial-derived metabolites can significantly influence the drug’s efficacy or potential toxicity. Bacteroides fragilis can metabolize the antihypertensive drug propranolol, altering its pharmacokinetics and potentially reducing its therapeutic effect.
Phase II metabolism encompasses conjugation reactions, wherein drugs or their metabolites bind with endogenous molecules to facilitate their elimination [138]. While phase II metabolism is primarily mediated by host enzymes such as UDP-glucuronosyltransferases (UGTs) and sulfotransferases, the gut microbiome can produce microbial metabolites that may serve as substrates for phase II conjugation reactions [130]. A study conducted by Selwyn et al. (2015) investigated the impact of the gut microbiome on the developmental regulation of drug-processing genes in the liver [140]. Their research demonstrated that the absence of a gut microbiome in germ-free mice resulted in altered expression patterns of drug-processing genes, including phase II conjugation enzymes such as UDP-glucuronosyltransferases (UGTs) [140]. Additionally, microbial products like bile acids and short-chain fatty acids, produced by gut bacteria such as Faecalibacterium prausnitzii and Bifidobacterium longum, can serve as substrates for phase II enzymes, influencing drug clearance and bioavailability. These microbial contributions can lead to variability in how drugs are metabolized and eliminated, affecting their therapeutic efficacy and potential toxicity. This microbial contribution to phase II metabolism can significantly influence drug clearance and bioavailability.

5.2. Drug Absorption and Bioavailability

The gut microbiome plays a role in influencing the absorption and bioavailability of certain drugs. The presence of bacterial species or microbial metabolites can impact the integrity of the intestinal barrier, potentially affecting drug absorption [141]. Additionally, the gut microbiome can influence the expression and functionality of drug transporters responsible for moving drugs across the intestinal wall and into systemic circulation [142]. The term “pharmacokinetics” refers to the study of how drugs are absorbed, distributed, metabolized, and eliminated in the body [143,144]. Drug absorption is a crucial step in the pharmacokinetic process, determining the rate and extent to which a drug enters the systemic circulation and reaches its target site [145]. As many drugs are orally administered, the gut significantly contributes drug absorption. These processes involve several mechanisms, including passive diffusion, active transport, disposition, facilitated diffusion, endocytosis, and pinocytosis.
The gut microbiome can influence drug absorption through various mechanisms, such as gut barrier integrity, engaging in drug–microbiota interactions, and participating in the metabolism of drug precursor metabolism (Figure 4). For example, bacteria such as B. fragilis and Clostridium leptum can produce enzymes that degrade certain drug compounds, influencing how well they are absorbed across the intestinal barrier [146]. Within the intestinal tract, the gut microbiome can impact the integrity of the intestinal barrier, which consists of epithelial cells connected via tight junctions [147]. Disruptions in the intestinal barrier due to microbial dysbiosis can increase the intestinal permeability, facilitating drug passage and affecting their absorption [148]. Similarly, within the oral cavity, the oral microbiome can modulate the permeability of the oral mucosa, thereby influencing drug absorption [149]. Bacterial metabolites, like short-chain fatty acids (SCFAs), can modulate the permeability of the intestinal barrier by affecting the integrity of the tight junctions between epithelial cells [150,151]. When these junctions are disrupted, as seen in microbial dysbiosis, the intestinal permeability increases, allowing for the enhanced passage of drugs like digoxin, thus altering its absorption and bioavailability [150].
Research shows that statins like simvastatin and atorvastatin can alter the abundance of key gut bacteria, such as Lactobacillus and Bifidobacterium [73]. These microbes are involved in bile acid metabolism, and their alteration can impact the drug’s efficacy. For example, Bacteroides thetaiotaomicron influences the metabolism of bile acids, which in turn affects the solubility and absorption of statins [152]. This interaction can lead to variations in the therapeutic effectiveness of statins, with changes in the gut microbial composition contributing to differences in drug bioavailability between individuals [152].
Similarly, the oral microbiome can also influence drug absorption. S. mutans, a bacterium associated with dental caries, is known to alter the oral mucosal environment, potentially affecting the permeability of the mucosa and, thus, the absorption of drugs administered sublingually or buccally, such as nitroglycerin [151]. Moreover, microbial metabolites like SCFAs, produced in the oral cavity, can enhance or inhibit the mucosal barrier’s integrity, impacting the drug’s pharmacokinetics and overall bioavailability [80]. These interactions illustrate how both the gut and oral microbiomes play a critical role in the absorption and efficacy of medications.

6. Effects of Specific Cardiovascular Medications on the Microbiome

While the research on the effects of cardiovascular medications on the microbiome is still limited, some studies have provided insights into the potential interactions between CVD medications and the microbiome [33,34,153,154]. Pharmaceuticals commonly prescribed for CVDs, including statins, antiplatelet agents, and ACE inhibitors, have been observed to potentially exert an influence on the composition and functionality of the human microbiome.

6.1. Effects on Gut Microbiome

Statins are commonly prescribed medications for the management of high LDL-lipoprotein cholesterol levels in the blood [155] and may alter the composition of the gut microbiome [153,154,155,156]. For example, one human study in China has reported that these medications can decrease the levels of certain bacteria, such as Clostridia, while increasing others, such as Bacteroidetes [154]. In the same study, the gut microbiomes of 202 patients with hyperlipidemia from East China, categorized as either statin-sensitive (SS) responders or statin-resistant (SR) responders, were examined using high-throughput sequencing [154]. The findings of this study revealed that individuals who displayed a positive response to statin treatment tended to have higher biodiversity in their gut microbiome. Furthermore, specific changes in the abundance of certain bacterial genera were observed. The genera Lactobacillus, Eubacterium, Faecalibacterium, and Bifidobacterium were found to be increased, while the genus Clostridium showed a decrease in the gut microbiomes of patients with a favorable statin response [154]. In another pre-clinical study, the researchers examined how statin treatment influenced the composition of the gut microbiome in mice [156]. Their results indicated that statins caused changes in both the size and composition of the bile acid pool in the intestine. Bile acids can influence the growth and composition of the gut microbiome, and changes in bile acid levels can create an environment that favors the growth of certain bacteria over others [156]. Human studies have reported similar findings, with statin use associated with changes in gut microbial diversity and composition [153,157]. Certain bacteria, such as Lactobacillus species and Bifidobacterium species within the gut microbiome, play a role in cholesterol metabolism, and alterations induced by statins may affect the abundance and activity of these microbes, contributing to shifts in the overall composition of the gut microbial community [157].
Beta-blockers are medications that can lower the heart rate and blood pressure by blocking beta receptors in the body. Recent studies suggest that these drugs may also have an impact on the gut microbiome [158,159]. Tabeta et al. (2021) discovered that beta-blocker users showed differences in the alpha diversity of their gut microbiomes compared to non-users among Japanese hospitalized patients (age 66) [160]. Notably, they observed a relative increase in the abundance of the genus Streptococcus and order Lactobacillus among those taking beta-blockers [160].

6.2. Effects on Oral Microbiome

Several studies suggest that the use of statins may have an impact on the composition of the oral microbiome, showing mixed results regarding its influence, both positive and negative [160,161,162]. For instance, research has shown that statins can alter the relative abundance of certain oral bacteria, including reducing the levels of periodontal pathogens associated with gum disease [161]. The results demonstrated that statins effectively inhibited the growth of Porphyromonas gingivalis, a specific bacterium, and significantly reduced the overall bacterial population in developing and mature biofilms [161]. Moreover, the specific effects of statins on the oral microbiome may vary depending on factors such as the type of statin, the dosage, and individual variations [162]. Similar to the gut, beta-blockers have also been associated with potential changes in the oral microbial community [163]. For instance, a study by Kgoe et al. (2022) examined individuals with periodontitis and found that the use of beta-blockers was linked to alterations in the composition of the oral microbiome, including changes in the relative abundance of certain bacterial species [163]. More research is needed to comprehensively grasp the significance and consequences of these findings in humans.

7. Discussion

Recent studies have illuminated that the oral microbiome, which is intricately linked to periodontal health and dental hygiene, can undergo alterations in response to specific cardiovascular medications, such as statins and beta-blockers (Table 1). These alterations may have systemic implications, as the oral microbiome’s balance has been associated with conditions like endocarditis, which can be exacerbated by oral microbial imbalances.
Moreover, investigations into the gut microbiome have revealed that certain cardiovascular drugs can impact its composition and functioning. Dysbiosis within the gut microbiome, resulting from these medication-induced changes, may influence drug metabolism and absorption, suggesting that the gut microbiome can indirectly influence the effectiveness of these medications in managing cardiovascular diseases.
As we anticipate ongoing research in this domain, it promises to provide a deeper understanding of the intricate relationships between medications, the oral and gut microbiomes, and human health. While the current studies have begun to uncover the impact of certain cardiovascular disease (CVD) medications on these microbiomes, it is important to note that the research in this area is still in its early stages. Only a limited number of CVD medications have been extensively studied, and there remains a significant gap in our knowledge regarding the full spectrum of these interactions.
Future research is needed to expand our understanding and to include a broader range of medications and patient populations. This knowledge is poised to shape the development of more comprehensive and personalized approaches to cardiovascular care in the future. These approaches will consider each individual’s unique microbiome profile, enhancing the treatment outcomes and paving the way for more effective and tailored strategies to combat cardiovascular diseases. Further clinical trials and studies will be essential in validating these findings and integrating them into clinical practice.
This review emphasizes the complex interactions between cardiovascular medications and the human microbiome, but several limitations warrant attention. Much of the current research is based on preclinical studies or small-scale clinical trials, which may restrict the applicability of the findings to broader populations. Additionally, the complexity and uniqueness of each person’s microbiome makes it difficult to standardize the results across diverse patient groups. Human testing for drugs also introduces ethical and logistical challenges, as individual variations in the microbiomes and the responses to medications can complicate data interpretation. Moreover, many studies focus on a narrow range of drugs and microbial species, often neglecting potential interactions with other medications and less-studied microbial communities. To overcome these limitations, we need more extensive, multi-center clinical trials involving diverse populations to gain a thorough understanding of these interactions and to validate the findings for clinical practice.

8. Conclusions

In conclusion, the evolving field of research into the interaction between cardiovascular medications and the oral and gut microbiomes in individuals with cardiovascular disease has yielded interesting findings. While these medications are primarily prescribed for their cardiovascular benefits, early evidence highlights their potential to significantly influence the microbial ecosystems within the oral cavity and the gastrointestinal tract. Studies have shown that specific cardiovascular drugs, such as statins and beta-blockers, can cause gut and oral microbial dysbiosis. Additionally, the gut and oral microbiomes can impact the effectiveness of CVD medications, demonstrating a significant bidirectional relationship. This imbalance in the microbial community impacts the metabolism and absorption of these medications, potentially leading to variations in drug responses. A deeper understanding of how these drugs interact with the microbiome could lead to more personalized and effective treatments for cardiovascular disease. Future studies should continue to explore this bidirectional relationship, aiming to develop strategies that mitigate the adverse effects on the microbiome while enhancing drugs’ efficacy.

Author Contributions

Conceptualization, T.N.J. and G.D.; methodology, G.D and T.N.J.; validation, G.D., T.N.J., S.K. (Samia Kazi) and S.K. (Shalinie King); writing—original draft preparation, G.D.; writing—review and editing, G.D., T.N.J., S.K. (Samia Kazi) and S.K. (Shalinie King); supervision, T.N.J.; funding acquisition, G.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

This manuscript has not been published and is not under consideration for publication elsewhere. The authors declare that there are no conflicts of interest.

References

  1. World Health Organization (WHO). Cardiovascular Diseases (CVDs); World Health Organization (WHO): Geneva, Switzerland, 2021. [Google Scholar]
  2. Wessler, B.S.; Yh, L.L.; Kramer, W.; Cangelosi, M.; Raman, G.; Lutz, J.S.; Kent, D.M. Clinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model Database. Circ. Cardiovasc. Qual. Outcomes 2015, 8, 368–375. [Google Scholar] [CrossRef] [PubMed]
  3. Ullah, M.; Wahab, A.; Khan, S.U.; Zaman, U.; ur Rehman, K.; Hamayun, S.; Naeem, M.; Ali, H.; Riaz, T.; Saeed, S.; et al. Stent as a Novel Technology for Coronary Artery Disease and Their Clinical Manifestation. Curr. Probl. Cardiol. 2023, 48, 101415. [Google Scholar] [CrossRef] [PubMed]
  4. Kloner, R.A.; Chaitman, B. Angina and Its Management. J. Cardiovasc. Pharmacol. Ther. 2017, 22, 199–209. [Google Scholar] [CrossRef] [PubMed]
  5. Wang, Z.V.; Li, D.L.; Hill, J.A. Heart failure and loss of metabolic control. J. Cardiovasc. Pharmacol. 2014, 63, 302–313. [Google Scholar] [CrossRef]
  6. Cappuccio, F.P.; Miller, M.A. Cardiovascular disease and hypertension in sub-Saharan Africa: Burden, risk and interventions. Intern. Emerg. Med. 2016, 11, 299–305. [Google Scholar] [CrossRef]
  7. Katoh, M.; Takeda, N.; Arimoto, T.; Abe, H.; Oda, K.; Osuga, Y.; Fujii, T.; Komuro, I. Bevacizumab-related microvascular angina and its management with nicorandil. Int. Heart J. 2017, 58, 803–805. [Google Scholar] [CrossRef]
  8. Oveissi, F.; Naficy, S.; Lee, A.; Winlaw, D.S.; Dehghani, F. Materials and manufacturing perspectives in engineering heart valves: A review. Mater. Today Bio 2020, 5, 803–805. [Google Scholar] [CrossRef]
  9. Taghizadeh, B.; Ghavami, L.; Derakhshankhah, H.; Zangene, E.; Razmi, M.; Jaymand, M.; Zarrintaj, P.; Zarghami, N.; Jaafari, M.R.; Moallem Shahri, M.; et al. Biomaterials in Valvular Heart Diseases. Front. Bioeng. Biotechnol. 2020, 8, 529244. [Google Scholar] [CrossRef]
  10. Maki, K.A.; Kazmi, N.; Barb, J.J.; Ames, N. The Oral and Gut Bacterial Microbiomes: Similarities, Differences, and Connections. Biol. Res. Nurs. 2021, 23, 7–20. [Google Scholar] [CrossRef]
  11. Kitamoto, S.; Nagao-Kitamoto, H.; Hein, R.; Schmidt, T.M.; Kamada, N. The Bacterial Connection between the Oral Cavity and the Gut Diseases. J. Dent. Res. 2020, 99, 1021–1029. [Google Scholar] [CrossRef]
  12. Lin, D.; Medeiros, D.M. The microbiome as a major function of the gastrointestinal tract and its implication in micronutrient metabolism and chronic diseases. Nutr. Res. 2023, 112, 30–45. [Google Scholar] [CrossRef] [PubMed]
  13. Zhu, B.; Wang, X.; Li, L. Human gut microbiome: The second genome of human body. Protein Cell 2010, 1, 718–725. [Google Scholar] [CrossRef] [PubMed]
  14. Rupa, P.; Mine, Y. Recent advances in the role of probiotics in human inflammation and gut health. J. Agric. Food Chem. 2012, 60, 8249–8256. [Google Scholar] [CrossRef] [PubMed]
  15. Willis, J.R.; Gabaldón, T. The human oral microbiome in health and disease: From sequences to ecosystems. Microorganisms 2020, 8, 308. [Google Scholar] [CrossRef]
  16. Gedif Meseret, A. Oral Biofilm and Its Impact on Oral Health, Psychological and Social Interaction. Int. J. Oral Dent. Health 2021, 7, 127. [Google Scholar] [CrossRef]
  17. Deo, P.N.; Deshmukh, R. Oral microbiome: Unveiling the fundamentals. J. Oral Maxillofac. Pathol. 2019, 23, 122–128. [Google Scholar] [CrossRef]
  18. Illiano, P.; Brambilla, R.; Parolini, C. The mutual interplay of gut microbiota, diet and human disease. FEBS J. 2020, 287, 833–855. [Google Scholar] [CrossRef]
  19. Leviatan, S.; Shoer, S.; Rothschild, D.; Gorodetski, M.; Segal, E. An expanded reference map of the human gut microbiome reveals hundreds of previously unknown species. Nat. Commun. 2022, 13, 3863. [Google Scholar] [CrossRef]
  20. Carey, H.V.; Assadi-Porter, F.M. The Hibernator Microbiome: Host-Bacterial Interactions in an Extreme Nutritional Symbiosis. Annu. Rev. Nutr. 2017, 37, 477–500. [Google Scholar] [CrossRef]
  21. Nagpal, R.; Shively, C.A.; Register, T.C.; Craft, S.; Yadav, H. Gut microbiome-Mediterranean diet interactions in improving host health. F1000Research 2019, 8, 699. [Google Scholar] [CrossRef]
  22. Nagao-Kitamoto, H.; Shreiner, A.B.; Gillilland, M.G.; Kitamoto, S.; Ishii, C.; Hirayama, A.; Kuffa, P.; El-Zaatari, M.; Grasberger, H.; Seekatz, A.M.; et al. Functional Characterization of Inflammatory Bowel Disease-Associated Gut Dysbiosis in Gnotobiotic Mice. Cell. Mol. Gastroenterol. Hepatol. 2016, 2, 468–481. [Google Scholar] [CrossRef] [PubMed]
  23. Broom, L.J.; Kogut, M.H. The role of the gut microbiome in shaping the immune system of chickens. Vet. Immunol. Immunopathol. 2018, 204, 44–51. [Google Scholar] [CrossRef] [PubMed]
  24. Singh, R.K.; Chang, H.W.; Yan, D.; Lee, K.M.; Ucmak, D.; Wong, K.; Abrouk, M.; Farahnik, B.; Nakamura, M.; Zhu, T.H.; et al. Influence of diet on the gut microbiome and implications for human health. J. Transl. Med. 2017, 15, 73. [Google Scholar] [CrossRef] [PubMed]
  25. Alhajri, N.; Khursheed, R.; Ali, M.T.; Izneid, T.A.; Al-Kabbani, O.; Al-Haidar, M.B.; Al-Hemeiri, F.; Alhashmi, M.; Pot-too, F.H. Cardiovascular health and the intestinal microbial ecosystem: The impact of cardiovascular therapies on the gut microbiota. Microorganisms 2021, 9, 2013. [Google Scholar] [CrossRef] [PubMed]
  26. Rajendiran, E.; Ramadass, B.; Ramprasath, V. Understanding connections and roles of gut microbiome in cardiovascular diseases. Can. J. Microbiol. 2021, 67, 101–111. [Google Scholar] [CrossRef]
  27. Tonelli, A.; Lumngwena, E.N.; Ntusi, N.A.B. The oral microbiome in the pathophysiology of cardiovascular disease. Nat. Rev. Cardiol. 2023, 20, 386–403. [Google Scholar] [CrossRef]
  28. Chakaroun, R.M.; Olsson, L.M.; Bäckhed, F. The potential of tailoring the gut microbiome to prevent and treat cardiometabolic disease. Nat. Rev. Cardiol. 2023, 20, 217–235. [Google Scholar] [CrossRef]
  29. Novakovic, M.; Rout, A.; Kingsley, T.; Kirchoff, R.; Singh, A.; Verma, V.; Kant, R.; Chaudhary, R. Role of gut microbiota in cardiovascular diseases. World J. Cardiol. 2020, 12, 110–122. [Google Scholar] [CrossRef]
  30. Le Bastard, Q.; Berthelot, L.; Soulillou, J.P.; Montassier, E. Impact of non-antibiotic drugs on the human intestinal microbiome. Expert. Rev. Mol. Diagn. 2021, 21, 911–924. [Google Scholar] [CrossRef]
  31. Dias, A.M.; Cordeiro, G.; Estevinho, M.M.; Veiga, R.; Figueira, L.; Reina-Couto, M.; Magro, F. Gut bacterial microbiome composition and statin intake—A systematic review. Pharmacol. Res. Perspect. 2020, 8, e00601. [Google Scholar] [CrossRef]
  32. Wilmanski, T.; Kornilov, S.A.; Diener, C.; Conomos, M.P.; Lovejoy, J.C.; Sebastiani, P.; Orwoll, E.S.; Hood, L.; Price, N.D.; Rappaport, N.; et al. Heterogeneity in statin responses explained by variation in the human gut microbiome. Med 2022, 3, 388–405.e6. [Google Scholar] [CrossRef] [PubMed]
  33. Tuteja, S.; Ferguson, J.F. Gut Microbiome and Response to Cardiovascular Drugs. Circ. Genom. Precis. Med. 2019, 12, 421–429. [Google Scholar] [CrossRef] [PubMed]
  34. Du, Y.; Li, X.; Su, C.; Wang, L.; Jiang, J.; Hong, B. The human gut microbiome–a new and exciting avenue in cardiovascular drug discovery. Expert Opin. Drug Discov. 2019, 14, 1037–1052. [Google Scholar] [CrossRef] [PubMed]
  35. Zarco, M.F.; Vess, T.J.; Ginsburg, G.S. The oral microbiome in health and disease and the potential impact on personalized dental medicine. Oral. Dis. 2012, 18, 109–120. [Google Scholar] [CrossRef] [PubMed]
  36. Duran-Pinedo, A.E.; Frias-Lopez, J. Beyond microbial community composition: Functional activities of the oral microbiome in health and disease. Microbes Infect. 2015, 17, 505–516. [Google Scholar] [CrossRef]
  37. Gacesa, R.; Kurilshikov, A.; Vich Vila, A.; Sinha, T.; Klaassen, M.A.Y.; Bolte, L.A.; Andreu-Sánchez, S.; Chen, L.; Collij, V.; Hu, S.; et al. Environmental factors shaping the gut microbiome in a Dutch population. Nature 2022, 604, 732–739. [Google Scholar] [CrossRef]
  38. Cho, I.; Blaser, M.J. The human microbiome: At the interface of health and disease. Nat. Rev. Genet. 2012, 13, 260–270. [Google Scholar] [CrossRef]
  39. Zhao, R.; Huang, R.; Long, H.; Li, Y.; Gao, M.; Lai, W. The dynamics of the oral microbiome and oral health among patients receiving clear aligner orthodontic treatment. Oral Dis. 2020, 26, 473–483. [Google Scholar] [CrossRef]
  40. Nguyen, T.; Brody, H.; Radaic, A.; Kapila, Y. Probiotics for periodontal health—Current molecular findings. Periodontology 2021, 87, 254–267. [Google Scholar] [CrossRef]
  41. Chattopadhyay, I.; Verma, M.; Panda, M. Role of Oral Microbiome Signatures in Diagnosis and Prognosis of Oral Cancer. Technol. Cancer Res. Treat. 2019, 18, 1533033819867354. [Google Scholar] [CrossRef]
  42. Alam, M.T.; Amos, G.C.A.; Murphy, A.R.J.; Murch, S.; Wellington, E.M.H.; Arasaradnam, R.P. Microbial imbalance in inflammatory bowel disease patients at different taxonomic levels. Gut Pathog. 2020, 12, 1–8. [Google Scholar] [CrossRef] [PubMed]
  43. Xue, Y.; Li, Q.; Park, C.G.; Klena, J.D.; Anisimov, A.P.; Sun, Z.; Wei, X.; Chen, T. Proteus mirabilis Targets Atherosclerosis Plaques in Human Coronary Arteries via DC-SIGN (CD209). Front. Immunol. 2021, 11, 579010. [Google Scholar] [CrossRef] [PubMed]
  44. Velsko, I.M.; Chukkapalli, S.S.; Rivera, M.F.; Lee, J.Y.; Chen, H.; Zheng, D.; Bhattacharyya, I.; Gangula, P.R.; Lucas, A.R.; Kesavalu, L. Active invasion of oral and aortic tissues by Porphyromonas gingivalis in mice causally links periodontitis and atherosclerosis. PLoS ONE 2014, 9, e97811. [Google Scholar] [CrossRef] [PubMed]
  45. Wang, L.; Wang, S.; Zhang, Q.; He, C.; Fu, C.; Wei, Q. The role of the gut microbiota in health and cardiovascular diseases. Mol. Biomed. 2022, 3, 30. [Google Scholar] [CrossRef]
  46. Tu, R.; Xia, J. Stroke and Vascular Cognitive Impairment: The Role of Intestinal Microbiota Metabolite TMAO. CNS Neurol. Disord. Drug Targets 2023, 23, 102–121. [Google Scholar] [CrossRef]
  47. Panyod, S.; Wu, W.K.; Chen, P.C.; Chong, K.V.; Yang, Y.T.; Chuang, H.L.; Chen, C.C.; Chen, R.A.; Liu, P.Y.; Chung, C.H.; et al. Atherosclerosis amelioration by allicin in raw garlic through gut microbiota and trimethylamine-N-oxide modulation. NPJ Biofilms Microbiomes 2022, 8, 4. [Google Scholar] [CrossRef]
  48. Elliott Miller, P.; Haberlen, S.A.; Brown, T.T.; Margolick, J.B.; DiDonato, J.A.; Hazen, S.L.; Witt, M.D.; Kingsley, L.A.; Palella, F.J.; Budoff, M.; et al. Intestinal microbiota-produced trimethylamine-N-oxide and its association with coronary stenosis and HIV serostatus. J. Acquir. Immune Defic. Syndr. 2016, 72, 114–118. [Google Scholar] [CrossRef]
  49. Wang, B.Y.; Qiu, J.; Lian, J.F.; Yang, X.; Zhou, J.Q. Gut Metabolite Trimethylamine-N-Oxide in Atherosclerosis: From Mechanism to Therapy. Front. Cardiovasc. Med. 2021, 8, 723886. [Google Scholar] [CrossRef]
  50. Pieczynska, M.D.; Yang, Y.; Petrykowski, S.; Horbanczuk, O.K.; Atanasov, A.G.; Horbanczuk, J.O. Gut microbiota and its metabolites in atherosclerosis development. Molecules 2020, 25, 594. [Google Scholar] [CrossRef]
  51. Tang, W.H.W.; Kitai, T.; Hazen, S.L. Gut microbiota in cardiovascular health and disease. Circ. Res. 2017, 120, 1183–1196. [Google Scholar] [CrossRef]
  52. Duttaroy, A.K. Role of gut microbiota and their metabolites on atherosclerosis, hypertension and human blood platelet function: A review. Nutrients 2021, 13, 144. [Google Scholar] [CrossRef] [PubMed]
  53. Aleman, R.S.; Moncada, M.; Aryana, K.J. Leaky Gut and the Ingredients That Help Treat It: A Review. Molecules 2023, 28, 619. [Google Scholar] [CrossRef] [PubMed]
  54. Poto, R.; Fusco, W.; Rinninella, E.; Cintoni, M.; Kaitsas, F.; Raoul, P.; Caruso, C.; Mele, M.C.; Varricchi, G.; Gasbarrini, A.; et al. The Role of Gut Microbiota and Leaky Gut in the Pathogenesis of Food Allergy. Nutrients 2024, 16, 92. [Google Scholar] [CrossRef] [PubMed]
  55. Theofilis, P.; Sagris, M.; Oikonomou, E.; Antonopoulos, A.S.; Siasos, G.; Tsioufis, C.; Tousoulis, D. Inflammatory mechanisms contributing to endothelial dysfunction. Biomedicines 2021, 9, 781. [Google Scholar] [CrossRef] [PubMed]
  56. Carrizales-Sepúlveda, E.F.; Ordaz-Farías, A.; Vera-Pineda, R.; Flores-Ramírez, R. Periodontal Disease, Systemic Inflammation and the Risk of Cardiovascular Disease. Heart Lung Circ. 2018, 27, 1327–1334. [Google Scholar] [CrossRef]
  57. Roca-Millan, E.; González-Navarro, B.; Del Mar Sabater-Recolons, M.; Marí-Roig, A.; Jané-Salas, E.; López-López, J. Periodontal treatment on patients with cardiovascular disease: Systematic review and meta-analysis. Med. Oral Patol. Oral Cir. Bucal 2018, 23, E681–E690. [Google Scholar] [CrossRef]
  58. Armingohar, Z.; Jørgensen, J.J.; Kristoffersen, A.K.; Abesha-Belay, E.; Olsen, I. Bacteria and bacterial DNA in atherosclerotic plaque and aneurysmal wall biopsies from patients with and without periodontitis. J. Oral Microbiol. 2014, 6, 23408. [Google Scholar] [CrossRef]
  59. Marcano, R.; Rojo, M.Á.; Cordoba-Diaz, D.; Garrosa, M. Pathological and therapeutic approach to endotoxin-secreting bacteria involved in periodontal disease. Toxins 2021, 13, 533. [Google Scholar] [CrossRef]
  60. Blancas-Luciano, B.E.; Zamora-Chimal, J.; da Silva-de Rosenzweig, P.G.; Ramos-Mares, M.; Fernández-Presas, A.M. Macrophages immunomodulation induced by Porphyromonas gingivalis and oral antimicrobial peptides. Odontology 2023, 111, 778–792. [Google Scholar] [CrossRef]
  61. Lin, J.; Huang, D.; Xu, H.; Zhan, F.; Tan, X.L. Macrophages: A communication network linking Porphyromonas gingivalis infection and associated systemic diseases. Front. Immunol. 2022, 13, 952040. [Google Scholar] [CrossRef]
  62. Arnao, V.; Tuttolomondo, A.; Daidone, M.; Pinto, A. Lipoproteins in Atherosclerosis Process. Curr. Med. Chem. 2019, 26, 1525–1543. [Google Scholar] [CrossRef] [PubMed]
  63. Ganther, S.; Radaic, A.; Malone, E.; Kamarajan, P.; Chang, N.Y.N.; Tafolla, C.; Zhan, L.; Fenno, J.C.; Kapila, Y.L. Treponema denticola dentilisin triggered TLR2/ MyD88 activation upregulates a tissue destructive program involving MMPs via Sp1 in human oral cells. PLoS Pathog. 2021, 17, e1009311. [Google Scholar] [CrossRef] [PubMed]
  64. Saleki, K.; Alijanizade, P.; Moradi, S.; Rahmani, A.; Banazadeh, M.; Mohamadi, M.H.; Shahabi, F.; Nouri, H.R. Engineering a novel immunogenic chimera protein utilizing bacterial infections associated with atherosclerosis to induce a deviation in adaptive immune responses via Immunoinformatics approaches. Infect. Genet. Evol. 2022, 102, 105290. [Google Scholar] [CrossRef] [PubMed]
  65. Jia, L.; Han, N.; Du, J.; Guo, L.; Luo, Z.; Liu, Y. Pathogenesis of important virulence factors of Porphyromonas gingivalis via toll-like receptors. Front. Cell. Infect. Microbiol. 2019, 9, 262. [Google Scholar] [CrossRef] [PubMed]
  66. Plemmenos, G.; Evangeliou, E.; Polizogopoulos, N.; Chalazias, A.; Deligianni, M.; Piperi, C. Central Regulatory Role of Cytokines in Periodontitis and Targeting Options. Curr. Med. Chem. 2020, 28, 3032–3058. [Google Scholar] [CrossRef]
  67. Zeng, X.T.; Leng, W.D.; Lam, Y.Y.; Yan, B.P.; Wei, X.M.; Weng, H.; Kwong, J.S.W. Periodontal disease and carotid atherosclerosis: A meta-analysis of 17,330 participants. Int. J. Cardiol. 2016, 203, 1044–1051. [Google Scholar] [CrossRef]
  68. Mollace, R.; Maiuolo, J.; Mollace, V. The Role of Endothelial Dysfunction in the Connection Between Gut Microbiota, Vascular Injury, and Arterial Hypertension; Springer International Publishing: Cham, Switzerland, 2024. [Google Scholar] [CrossRef]
  69. Wu, W.K.; Ivanova, E.A.; Orekhov, A.N. Gut microbiome: A possible common therapeutic target for treatment of atherosclerosis and cancer. Semin. Cancer Biol. 2021, 70, 85–97. [Google Scholar] [CrossRef]
  70. Brennan, C.A.; Nakatsu, G.; Comeau, C.A.G.; Drew, D.A.; Glickman, J.N.; Schoen, R.E.; Chan, A.T.; Garrett, W.S. Aspirin modulation of the colorectal cancer-associated microbe fusobacterium nucleatum. mBio 2021, 12. [Google Scholar] [CrossRef]
  71. Zhang, X.; Zhang, X.; Tong, F.; Cai, Y.; Zhang, Y.; Song, H.; Tian, X.; Yan, C.; Han, Y. Gut microbiota induces high platelet response in patients with ST segment elevation myocardial infarction after ticagrelor treatment. eLife 2022, 11, e70240. [Google Scholar] [CrossRef]
  72. McCabe, L.R.; Parameswaran, N. Understanding the Gut-Bone Signaling Axis: Mechanisms and Therapeutic Implications. In Advances in Experimental Medicine and Biology; Springer: Berlin/Heidelberg, Germany, 2017; Volume 1033. [Google Scholar]
  73. Garg, Y.; Kanwar, N.; Chopra, S.; Tambuwala, M.M.; Dodiya, H.; Bhatia, A.; Kanwal, A. Microbiome Medicine: Microbiota in Development and Management of Cardiovascular Diseases. Endocr. Metab. Immune Disord. Drug Targets 2022, 22, 1344–1356. [Google Scholar] [CrossRef]
  74. Jia, Q.; Li, H.; Zhou, H.; Zhang, X.; Zhang, A.; Xie, Y.; Li, Y.; Lv, S.; Zhang, J. Role and Effective Therapeutic Target of Gut Microbiota in Heart Failure. Cardiovasc. Ther. 2019, 2019, 1–10. [Google Scholar] [CrossRef] [PubMed]
  75. Khmil, N.V.; Kolesnikov, V.G.; Altuhov, O.L. Evaluation of disorders of adaptive mechanisms in heart failure by microwave dielectrometry. Radiotekhnika 2022, 209, 200–205. [Google Scholar] [CrossRef]
  76. Jaworska, K.; Koper, M.; Ufnal, M. Gut microbiota and renin-angiotensin system: A complex interplay at local and systemic levels. Am. J. Physiol.-Gastrointest. Liver Physiol. 2021, 321, G355–G366. [Google Scholar] [CrossRef] [PubMed]
  77. Chen, H.Q.; Gong, J.Y.; Xing, K.; Liu, M.Z.; Ren, H.; Luo, J.Q. Pharmacomicrobiomics: Exploiting the Drug-Microbiota Interactions in Antihypertensive Treatment. Front. Med. 2022, 8, 742394. [Google Scholar] [CrossRef] [PubMed]
  78. Avery, E.G.; Bartolomaeus, H.; Maifeld, A.; Marko, L.; Wiig, H.; Wilck, N.; Rosshart, S.P.; Forslund, S.K.; Müller, D.N. The Gut Microbiome in Hypertension: Recent Advances and Future Perspectives. Circ. Res. 2021, 128, 934–950. [Google Scholar] [CrossRef]
  79. Zhao, T.; Zhang, Y.; Nan, L.; Zhu, Q.; Wang, S.; Xie, Y.; Dong, X.; Cao, C.; Lin, X.; Lu, Y.; et al. Impact of structurally diverse polysaccharides on colonic mucin O-glycosylation and gut microbiota. NPJ Biofilms Microbiomes 2023, 9, 97. [Google Scholar] [CrossRef]
  80. Zhang, X.; Han, Y.; Huang, W.; Jin, M.; Gao, Z. The influence of the gut microbiota on the bioavailability of oral drugs. Acta Pharm. Sin. B 2021, 11, 1789–1812. [Google Scholar] [CrossRef]
  81. Palmu, J.; Lahti, L.; Niiranen, T. Targeting gut microbiota to treat hypertension: A systematic review. Int. J. Environ. Res. Public Health 2021, 18, 1248. [Google Scholar] [CrossRef]
  82. Yang, Z.; Wang, Q.; Liu, Y.; Wang, L.; Ge, Z.; Li, Z.; Feng, S.; Wu, C. Gut microbiota and hypertension: Association, mechanisms and treatment. Clin. Exp. Hypertens. 2023, 45, 2195135. [Google Scholar] [CrossRef]
  83. Stickel, S.; Gin-Sing, W.; Wagenaar, M.; Gibbs, J.S.R. The practical management of fluid retention in adults with right heart failure due to pulmonary arterial hypertension. Eur. Heart J. Suppl. 2019, 21, K46–K53. [Google Scholar] [CrossRef]
  84. Yan, H.; Chen, Y.; Zhu, H.; Huang, W.H.; Cai, X.H.; Li, D.; Lv, Y.J.; Zhou, H.H.; Luo, F.Y.; Zhang, W.; et al. The Relationship Among Intestinal Bacteria, Vitamin K and Response of Vitamin K Antagonist: A Review of Evidence and Potential Mechanism. Front. Med. 2022, 9, 829304. [Google Scholar] [CrossRef] [PubMed]
  85. Xue, L.; Singla, R.K.; Qin, Q.; Ding, Y.; Liu, L.; Ding, X.; Qu, W.; Huang, C.; Shen, Z.; Shen, B.; et al. Exploring the complex relationship between vitamin K, gut microbiota, and warfarin variability in cardiac surgery patients. Int. J. Surg. 2023, 109, 3861–3871. [Google Scholar] [CrossRef] [PubMed]
  86. Wang, A.; Meng, X.; Tian, X.; Johnston, S.C.; Li, H.; Bath, P.M.; Zuo, Y.; Xie, X.; Jing, J.; Lin, J.; et al. Effect of Hypertension on Efficacy and Safety of Ticagrelor-Aspirin Versus Clopidogrel-Aspirin in Minor Stroke or Transient Ischemic Attack. Stroke 2022, 53, 2799–2808. [Google Scholar] [CrossRef] [PubMed]
  87. Wong, Y.S.; Tsai, C.F.; Hsu, Y.H.; Ter, O.C. Efficacy of aspirin, clopidogrel, and ticlopidine in stroke prevention: A population-based case-cohort study in Taiwan. PLoS ONE 2021, 15, e0242466. [Google Scholar] [CrossRef] [PubMed]
  88. Kim, J.T.; Park, M.S.; Choi, K.H.; Cho, K.H.; Kim, B.J.; Park, J.M.; Kang, K.; Lee, S.J.; Kim, J.G.; Cha, J.K.; et al. Comparative Effectiveness of Aspirin and Clopidogrel Versus Aspirin in Acute Minor Stroke or Transient Ischemic Attack. Stroke 2019, 50, 101–109. [Google Scholar] [CrossRef]
  89. Rosen, J.B.; Jimenez, J.G.; Pirags, V.; Vides, H.; Hanson, M.E.; Massaad, R.; McPeters, G.; Brudi, P.; Triscari, J. A comparison of efficacy and safety of an ezetimibe/simvastatin combination compared with other intensified lipid-lowering treatment strategies in diabetic patients with symptomatic cardiovascular disease. Diabetes Vasc. Dis. Res. 2013, 10, 277–286. [Google Scholar] [CrossRef]
  90. Demoz, G.T.; Wahdey, S.; Kasahun, G.G.; Hagazy, K.; Kinfe, D.G.; Tasew, H.; Bahrey, D.; Niriayo, Y.L. Prescribing pattern of statins for primary prevention of cardiovascular diseases in patients with type 2 diabetes: Insights from Ethiopia. BMC Res. Notes 2019, 12, 386. [Google Scholar] [CrossRef]
  91. Hakim, S.; Chowdhury, M.A.B.; Haque, M.d.A.; Ahmed, N.U.; Paul, G.K.; Uddin, M.d.J. The availability of essential medicines for cardiovascular diseases at healthcare facilities in low- and middle-income countries: The case of Bangladesh. PLOS Glob. Public Health 2022, 2, e0001154. [Google Scholar] [CrossRef]
  92. Al-Gobari, M.; El Khatib, C.; Pillon, F.; Gueyffier, F. Beta-blockers for the prevention of sudden cardiac death in heart failure patients: A meta-analysis of randomized controlled trials. BMC Cardiovasc. Disord. 2013, 13, 52. [Google Scholar] [CrossRef]
  93. Terlecki, M.; Wojciechowska, W.; Klocek, M.; Olszanecka, A.; Stolarz-Skrzypek, K.; Grodzicki, T.; Małecki, M.; Katra, B.; Garlicki, A.; Bociąga-Jasik, M.; et al. Association between cardiovascular disease, cardiovascular drug therapy, and in-hospital outcomes in patients with COVID-19: Data from a large single-center registry in Poland. Kardiol. Pol. 2021, 79, 773–780. [Google Scholar] [CrossRef]
  94. Jin, S.; Kostka, K.; Posada, J.D.; Kim, Y.; Seo, S.I.; Lee, D.Y.; Shah, N.H.; Roh, S.; Lim, Y.H.; Chae, S.G.; et al. Prediction of major depressive disorder following beta-blocker therapy in patients with cardiovascular diseases. J. Pers. Med. 2020, 10, 288. [Google Scholar] [CrossRef] [PubMed]
  95. Silverman, D.N.; Plante, T.B.; Infeld, M.; Callas, P.W.; Juraschek, S.P.; Dougherty, G.B.; Meyer, M. Association of β-Blocker Use with Heart Failure Hospitalizations and Cardiovascular Disease Mortality Among Patients with Heart Failure with a Preserved Ejection Fraction: A Secondary Analysis of the TOPCAT Trial. JAMA Netw. Open 2019, 2, e1916598. [Google Scholar] [CrossRef] [PubMed]
  96. Huz, V.S.; Zaliska, O.M. Analysis of dynamics of the drug list in the affordable medicines program for treatment of cardiovascular diseases. Farmatsevtychnyi Zhurnal 2019, 21–30. [Google Scholar] [CrossRef]
  97. Imaeva, A.E.; Balanova, Y.A.; Kontsevaya, A.V.; Kapustina, A.V.; Duplyakov, D.V.; Malysheva, O.H.; Osipova, I.V.; Petrichko, T.A.; Kropanin, G.I.; Kasimov, R.A.; et al. Availability and affordability of medicines for the treatment of cardiovascular diseases in pharmacies in six regions of the Russian Federation. Ration. Pharmacother. Cardiol. 2018, 14, 804–815. [Google Scholar] [CrossRef]
  98. Wata, D.; Ogwu, J.; Dunford, L.; Lawson, G.; Tanna, S. Utilizing quantitative dried blood spot analysis to objectively assess adherence to cardiovascular pharmacotherapy among patients at Kenyatta National Hospital, Nairobi, Kenya. PLoS ONE 2023, 18, e0280137. [Google Scholar] [CrossRef]
  99. Jatic, Z.; Skopljak, A.; Hebibovic, S.; Sukalo, A.; Rustempasic, E.; Valjevac, A. Effects of Different Antihypertensive Drug Combinations on Blood Pressure and Arterial Stiffness. Med Arch. 2019, 73, 157–162. [Google Scholar] [CrossRef]
  100. Lee, W.; Kang, J.; Park, J.B.; Seo, W.W.; Lee, S.Y.; Lim, W.H.; Jeon, K.H.; Hwang, I.C.; Kim, H.L. Long-term mortality and cardiovascular events of seven angiotensin receptor blockers in hypertensive patients: Analysis of a national real-world database: A retrospective cohort study. Health Sci. Rep. 2023, 6, e1056. [Google Scholar] [CrossRef]
  101. Netiazhenko, V.Z. Infusion therapy for cardiovascular diseases: The allowed limits. Infus. Chemother. 2020, 227–230. [Google Scholar] [CrossRef]
  102. Filippova, A.V.; Ostroumova, O.D. Drug-induced pancreatitis: Focus on drugs used to treat cardiovascular disease. Med. Alph. 2021, 37–42. [Google Scholar] [CrossRef]
  103. Musa, M. Supply of medicines by humanitarian organizations in war conditions. Tech. BioChemMed 2022, 4, 45–53. [Google Scholar] [CrossRef]
  104. Farpour-Lambert, N.J.; Martin, X.E.; Bucher Della Torre, S.; von Haller, L.; Ells, L.J.; Herrmann, F.R.; Aggoun, Y. Effectiveness of individual and group programmes to treat obesity and reduce cardiovascular disease risk factors in pre-pubertal children. Clin. Obes. 2019, 9, e12335. [Google Scholar] [CrossRef] [PubMed]
  105. Liao, L.; Tang, Y.; Li, B.; Tang, J.; Xu, H.; Zhao, K.; Zhang, X. Stachydrine, a potential drug for the treatment of cardiovascular system and central nervous system diseases. Biomed. Pharmacother. 2023, 161, 114489. [Google Scholar] [CrossRef] [PubMed]
  106. Yu, D.; Zhao, Z.; Simmons, D. Cardiovascular risks and bleeding with non-vitamin K antagonist oral anticoagulant versus warfarin in patients with type 2 diabetes: A tapered matching cohort study. Cardiovasc. Diabetol. 2020, 19, 174. [Google Scholar] [CrossRef] [PubMed]
  107. Freemantle, N.; Lafuente-Lafuente, C.; Mitchell, S.; Eckert, L.; Reynolds, M. Mixed treatment comparison of dronedarone, amiodarone, sotalol, flecainide, and propafenone, for the management of atrial fibrillation. Europace 2011, 13, 329–345. [Google Scholar] [CrossRef] [PubMed]
  108. Hill, A.C.; Silka, M.J.; Bar-Cohen, Y. A comparison of oral flecainide and amiodarone for the treatment of recurrent supraventricular tachycardia in children. PACE-Pacing Clin. Electrophysiol. 2019, 42, 670–677. [Google Scholar] [CrossRef]
  109. Mavrides, N.; Nemeroff, C.B. Treatment of affective disorders in cardiac disease. Dialogues Clin. Neurosci. 2015, 17, 127–140. [Google Scholar] [CrossRef]
  110. Franconi, F.; Brunelleschi, S.; Steardo, L.; Cuomo, V. Gender differences in drug responses. Pharmacol. Res. 2007, 55, 81–95. [Google Scholar] [CrossRef]
  111. Sadee, W.; Wang, D.; Hartmann, K.; Toland, A.E. Pharmacogenomics: Driving Personalized Medicine. Pharmacol. Rev. 2023, 75, 789–814. [Google Scholar] [CrossRef]
  112. Xu, J.; Yang, Y. Gut microbiome and its meta-omics perspectives: Profound implications for cardiovascular diseases. Gut Microbes 2021, 13, 1936379. [Google Scholar] [CrossRef]
  113. Kyaw, T.S.; Sandy, M.; Trepka, K.; Goh, J.J.; Yu, K.; Dimassa, V.; Bess, E.N.; Bisanz, J.E.; Turnbaugh, P. Human Gut Actinobacteria Boost Drug Absorption by Secreting P-Glycoprotein ATPase Inhibitors. SSRN Electron. J. 2022, 27, 110122. [Google Scholar] [CrossRef]
  114. Kumar, K.; Jaiswal, S.K.; Dhoke, G.V.; Srivastava, G.N.; Sharma, A.K.; Sharma, V.K. Mechanistic and structural insight into promiscuity based metabolism of cardiac drug digoxin by gut microbial enzyme. J. Cell Biochem. 2018, 119, 5287–5296. [Google Scholar] [CrossRef] [PubMed]
  115. Yang, Z.; Wang, Q.; Liu, Y.; Wang, L.; Ge, Z.; Li, Z.; Feng, S.; Wu, C. The Novel Interplay between Commensal Gut Bacteria and Metabolites in Diet-Induced Hyperlipidemic Rats Treated with Simvastatin. J. Proteome Res. 2022, 21, 808–821. [Google Scholar] [CrossRef]
  116. Vourakis, M.; Mayer, G.; Rousseau, G. The role of gut microbiota on cholesterol metabolism in atherosclerosis. Int. J. Mol. Sci. 2021, 22, 8074. [Google Scholar] [CrossRef] [PubMed]
  117. Lakshmanan, A.P.; Murugesan, S.; Al Khodor, S.; Terranegra, A. The potential impact of a probiotic: Akkermansia muciniphila in the regulation of blood pressure—The current facts and evidence. J. Transl. Med. 2022, 20, 430. [Google Scholar] [CrossRef] [PubMed]
  118. Weersma, R.K.; Zhernakova, A.; Fu, J. Interaction between drugs and the gut microbiome. Gut 2020, 69, 1510–1519. [Google Scholar] [CrossRef]
  119. Sanz, M.; Marco del Castillo, A.; Jepsen, S.; Gonzalez-Juanatey, J.R.; D’Aiuto, F.; Bouchard, P.; Chapple, I.; Dietrich, T.; Gotsman, I.; Graziani, F.; et al. Periodontitis and cardiovascular diseases: Consensus report. J. Clin. Periodontol. 2020, 47, 268–288. [Google Scholar] [CrossRef] [PubMed]
  120. Noites, R.; Teixeira, M.; Cavero-Redondo, I.; Alvarez-Bueno, C.; Ribeiro, F. Apical Periodontitis and Cardiovascular Disease in Adults: A Systematic Review with Meta-Analysis. Rev. Cardiovasc. Med. 2022, 23, 0100. [Google Scholar] [CrossRef]
  121. James, K.L.; Mogen, A.B.; Brandwein, J.N.; Orsini, S.S.; Ridder, M.J.; Markiewicz, M.A.; Bose, J.L.; Rice, K.C. Interplay of Nitric Oxide Synthase (NOS) and SrrAB in modulation of staphylococcus aureus metabolism and virulence. Infect. Immun. 2019, 87, e00570-18. [Google Scholar] [CrossRef]
  122. Abbas, M.; Constantin, M.I.; Narendra, A. Pylephlebitis Caused by Fusobacterium nucleatum in a Septuagenarian Healthy Caucasian Male: Atypical Presentation of Lemierre’s Syndrome. Case Rep. Infect. Dis. 2022, 2022, 5160408. [Google Scholar] [CrossRef]
  123. Da Silveira, T.M.; Silva, C.F.E.; Voucher, R.D.A.; Melchiors Angst, P.D.; Casarin, M.; Pola, N.M. Higher frequency of specific periodontopathogens in hypertensive patients. A pilot study. Braz. Dent. J. 2022, 33, 64–73. [Google Scholar] [CrossRef]
  124. Lai, Y.; Chu, X.; Di, L.; Gao, W.; Guo, Y.; Liu, X.; Lu, C.; Mao, J.; Shen, H.; Tang, H.; et al. Recent advances in the translation of drug metabolism and pharmacokinetics science for drug discovery and development. Acta Pharm. Sin. B 2022, 12, 2751–2777. [Google Scholar] [CrossRef] [PubMed]
  125. Kumar, G.N.; Surapaneni, S. Role of drug metabolism in drug discovery and development. Med. Res. Rev. 2001, 21, 397–411. [Google Scholar] [CrossRef] [PubMed]
  126. Kramlinger, V.M.; Dalvie, D.; Heck, C.J.S.; Kalgutkar, A.S.; O’Neill, J.; Su, D.; Teitelbaum, A.M.; Totah, R.A. Future of Biotransformation Science in the Pharmaceutical Industry. Drug Metab. Dispos. 2022, 50, 258–267. [Google Scholar] [CrossRef] [PubMed]
  127. Kebamo, S.; Tesema, S. The Role of Biotransformation in Drug Discovery and Development. J. Drug Metab. Toxicol. 2015, 6, 2. [Google Scholar] [CrossRef]
  128. Dhurjad, P.; Dhavaliker, C.; Gupta, K.; Sonti, R. Exploring Drug Metabolism by the Gut Microbiota: Modes of Metabolism and Experimental Approaches. Drug Metab. Dispos. 2022, 50, 224–234. [Google Scholar] [CrossRef]
  129. Li, Y.; Meng, Q.; Yang, M.; Liu, D.; Hou, X.; Tang, L.; Wang, X.; Lyu, Y.; Chen, X.; Liu, K.; et al. Current trends in drug metabolism and pharmacokinetics. Acta Pharm. Sin. B 2019, 9, 1113–1144. [Google Scholar] [CrossRef]
  130. Li, H.; He, J.; Jia, W. The influence of gut microbiota on drug metabolism and toxicity. Expert Opin. Drug Metab. Toxicol. 2016, 12, 31–40. [Google Scholar] [CrossRef]
  131. Koppel, N.; Rekdal, V.M.; Balskus, E.P. Chemical transformation of xenobiotics by the human gut microbiota. Science 2017, 356, 6344. [Google Scholar] [CrossRef]
  132. Pant, A.; Maiti, T.K.; Mahajan, D.; Das, B. Human Gut Microbiota and Drug Metabolism. Microb. Ecol. 2023, 86, 97–111. [Google Scholar] [CrossRef]
  133. Spanogiannopoulos, P.; Bess, E.N.; Carmody, R.N.; Turnbaugh, P.J. The microbial pharmacists within us: A metagenomic view of xenobiotic metabolism. Nat. Rev. Microbiol. 2016, 14, 273–287. [Google Scholar] [CrossRef]
  134. Najjar, A.; Najjar, A.; Karaman, R. Newly developed prodrugs and prodrugs in development; an insight of the recent years. Molecules 2020, 25, 884. [Google Scholar] [CrossRef] [PubMed]
  135. Mehta, R.S.; Mayers, J.R.; Zhang, Y.; Bhosle, A.; Glasser, N.R.; Nguyen, L.H.; Ma, W.; Bae, S.; Branck, T.; Song, K.; et al. Gut microbial metabolism of 5-ASA diminishes its clinical efficacy in inflammatory bowel disease. Nat. Med. 2023, 29, 700–709. [Google Scholar] [CrossRef] [PubMed]
  136. Zimmermann, M.; Zimmermann-Kogadeeva, M.; Wegmann, R.; Goodman, A.L. Mapping human microbiome drug metabolism by gut bacteria and their genes. Nature 2019, 570, 462–467. [Google Scholar] [CrossRef] [PubMed]
  137. Kaur, G.; Gupta, S.K.; Singh, P.; Ali, V.; Kumar, V.; Verma, M. Drug-metabolizing enzymes: Role in drug resistance in cancer. Clin. Transl. Oncol. 2020, 22, 1667–1680. [Google Scholar] [CrossRef]
  138. Almazroo, O.A.; Miah, M.K.; Venkataramanan, R. Drug Metabolism in the Liver. Clin. Liver Dis. 2017, 21, 1–20. [Google Scholar] [CrossRef]
  139. Forslund, S.K. Fasting intervention and its clinical effects on the human host and microbiome. J. Intern. Med. 2023, 293, 166–183. [Google Scholar] [CrossRef]
  140. Selwyn, F.P.; Cheng, S.L.; Bammler, T.K.; Prasad, B.; Vrana, M.; Klaassen, C.; Cui, J.Y. Developmental regulation of drug-processing genes in livers of germ-free mice. Toxicol. Sci. 2015, 147, 84–103. [Google Scholar] [CrossRef]
  141. Wilson, I.D.; Nicholson, J.K. Gut microbiome interactions with drug metabolism, efficacy, and toxicity. Transl. Res. 2017, 179, 204–222. [Google Scholar] [CrossRef]
  142. Zimmermann, M.; Patil, K.R.; Typas, A.; Maier, L. Towards a mechanistic understanding of reciprocal drug–microbiome interactions. Mol. Syst. Biol. 2021, 17, e10116. [Google Scholar] [CrossRef]
  143. Eusuf, D.V.; Thomas, E. Pharmacokinetic variation. Anaesth. Intensive Care Med. 2022, 23, 50–53. [Google Scholar] [CrossRef]
  144. Zimmermann-Kogadeeva, M.; Zimmermann, M.; Goodman, A.L. Insights from pharmacokinetic models of host-microbiome drug metabolism. Gut Microbes 2020, 11, 587–596. [Google Scholar] [CrossRef] [PubMed]
  145. Tsunoda, S.M.; Gonzales, C.; Jarmusch, A.K.; Momper, J.D.; Ma, J.D. Contribution of the Gut Microbiome to Drug Disposition, Pharmacokinetic and Pharmacodynamic Variability. Clin. Pharmacokinet. 2021, 60, 971–984. [Google Scholar] [CrossRef] [PubMed]
  146. Mousa, S.; Sarfraz, M.; Mousa, W.K. The Interplay between Gut Microbiota and Oral Medications and Its Impact on Advancing Precision Medicine. Metabolites 2023, 13, 674. [Google Scholar] [CrossRef] [PubMed]
  147. Grosheva, I.; Zheng, D.; Levy, M.; Polansky, O.; Lichtenstein, A.; Golani, O.; Dori-Bachash, M.; Moresi, C.; Shapiro, H.; Del Mare-Roumani, S.; et al. High-Throughput Screen Identifies Host and Microbiota Regulators of Intestinal Barrier Function. Gastroenterology 2020, 159, 1807–1823. [Google Scholar] [CrossRef] [PubMed]
  148. Martel, J.; Chang, S.H.; Ko, Y.F.; Hwang, T.L.; Young, J.D.; Ojcius, D.M. Gut barrier disruption and chronic disease. Trends Endocrinol. Metab. 2022, 33, 247–265. [Google Scholar] [CrossRef]
  149. Maher, S.; Leonard, T.W.; Jacobsen, J.; Brayden, D.J. Safety and efficacy of sodium caprate in promoting oral drug absorption: From in vitro to the clinic. Adv. Drug Deliv. Rev. 2009, 61, 1427–1449. [Google Scholar] [CrossRef]
  150. Ghosh, S.; Whitley, C.S.; Haribabu, B.; Jala, V.R. Regulation of Intestinal Barrier Function by Microbial Metabolites. Cell. Mol. Gastroenterol. Hepatol. 2021, 11, 1463–1482. [Google Scholar] [CrossRef]
  151. Li, X.; Liu, L.; Cao, Z.; Li, W.; Li, H.; Lu, C.; Yang, X.; Liu, Y. Gut microbiota as an “invisible organ” that modulates the function of drugs. Biomed. Pharmacother. 2020, 121, 109653. [Google Scholar] [CrossRef]
  152. Jia, B.; Zou, Y.; Han, X.; Bae, J.W.; Jeon, C.O. Gut microbiome-mediated mechanisms for reducing cholesterol levels: Implications for ameliorating cardiovascular disease. Trends Microbiol. 2023, 31, 76–91. [Google Scholar] [CrossRef]
  153. Raju, S.C.; Viljakainen, H.; Figueiredo, R.A.O.; Neuvonen, P.J.; Eriksson, J.G.; Weiderpass, E.; Rounge, T.B. Antimicrobial drug use in the first decade of life influences saliva microbiota diversity and composition. Microbiome 2020, 8, 121. [Google Scholar] [CrossRef]
  154. Sun, B.; Li, L.; Zhou, X. Comparative analysis of the gut microbiota in distinct statin response patients in East China. J. Microbiol. 2018, 56, 886–892. [Google Scholar] [CrossRef] [PubMed]
  155. Saberianpour, S.; Abolbashari, S.; Modaghegh, M.H.S.; Karimian, M.S.; Eid, A.H.; Sathyapalan, T.; Sahebkar, A. Therapeutic effects of statins on osteoarthritis: A review. J. Cell. Biochem. 2022, 123, 1285–1297. [Google Scholar] [CrossRef] [PubMed]
  156. Caparrós-Martín, J.A.; Lareu, R.R.; Ramsay, J.P.; Peplies, J.; Reen, F.J.; Headlam, H.A.; Ward, N.C.; Croft, K.D.; News-holme, P.; Hughes, J.D.; et al. Statin therapy causes gut dysbiosis in mice through a PXR-dependent mechanism. Microbiome 2017, 5, 95. [Google Scholar] [CrossRef] [PubMed]
  157. Mulder, M.; Radjabzadeh, D.; Kiefte-de Jong, J.C.; Uitterlinden, A.G.; Kraaij, R.; Stricker, B.H.; Verbon, A. Long-term effects of antimicrobial drugs on the composition of the human gut microbiota. Gut Microbes 2020, 12, 1795492. [Google Scholar] [CrossRef] [PubMed]
  158. Lin, Y.T.; Lin, T.Y.; Hung, S.C.; Liu, P.Y.; Hung, W.C.; Tsai, W.C.; Tsai, Y.C.; Delicano, R.A.; Chuang, Y.S.; Kuo, M.C.; et al. Differences in the microbial composition of hemodialysis patients treated with and without β-blockers. J. Pers. Med. 2021, 11, 198. [Google Scholar] [CrossRef]
  159. Talathi, S.; Wilkinson, L.; Meloni, K.; Shroyer, M.; Zhang, L.; Ding, Z.; Eipers, P.; Van Der Pol, W.; Martin, C.; Dimmitt, R.; et al. Factors Affecting the Gut Microbiome in Pediatric Intestinal Failure. J. Pediatr. Gastroenterol. Nutr. 2023, 77, 426–432. [Google Scholar] [CrossRef]
  160. Tabata, T.; Yamashita, T.; Hosomi, K.; Park, J.; Hayashi, T.; Yoshida, N.; Saito, Y.; Fukuzawa, K.; Konishi, K.; Murakami, H.; et al. Gut microbial composition in patients with atrial fibrillation: Effects of diet and drugs. Heart Vessel. 2021, 36, 105–114. [Google Scholar] [CrossRef]
  161. Kamińska, M.; Aliko, A.; Hellvard, A.; Bielecka, E.; Binder, V.; Marczyk, A.; Potempa, J.; Delaleu, N.; Kantyka, T.; Mydel, P. Effects of statins on multispecies oral biofilm identify simvastatin as a drug candidate targeting Porphyromonas gingivalis. J. Periodontol. 2019, 90, 637–646. [Google Scholar] [CrossRef]
  162. DeClercq, V.; Nearing, J.T.; Langille, M.G.I. Investigation of the impact of commonly used medications on the oral microbiome of individuals living without major chronic conditions. PLoS ONE 2021, 16, e0261032. [Google Scholar] [CrossRef]
  163. Kato-Kogoe, N.; Sakaguchi, S.; Kamiya, K.; Omori, M.; Gu, Y.H.; Ito, Y.; Nakamura, S.; Nakano, T.; Tamaki, J.; Ueno, T.; et al. Characterization of Salivary Microbiota in Patients with Atherosclerotic Cardiovascular Disease: A Case-Control Study. J. Atheroscler. Thromb. 2022, 29, 403–421. [Google Scholar] [CrossRef]
Figure 1. The connection between the altered composition of the gut and oral microbiota and the development of various CVDs. The left side of the figure highlights key microbial communities and their metabolites, such as Streptococcus, E. coli, P. gingivalis, Bacteroides, SCFAs, bile acids, and amino acids. These microbes and their metabolites influence the immune response and inflammation, leading to an altered microbiota composition. The right side of the figure shows the potential cardiovascular outcomes, including coronary artery disease, stroke, heart failure, peripheral arterial disease, hypertension, and valvular heart disease. The bidirectional arrow indicates the continuous interaction between microbial metabolites, the immune response, and inflammation in shaping cardiovascular health.
Figure 1. The connection between the altered composition of the gut and oral microbiota and the development of various CVDs. The left side of the figure highlights key microbial communities and their metabolites, such as Streptococcus, E. coli, P. gingivalis, Bacteroides, SCFAs, bile acids, and amino acids. These microbes and their metabolites influence the immune response and inflammation, leading to an altered microbiota composition. The right side of the figure shows the potential cardiovascular outcomes, including coronary artery disease, stroke, heart failure, peripheral arterial disease, hypertension, and valvular heart disease. The bidirectional arrow indicates the continuous interaction between microbial metabolites, the immune response, and inflammation in shaping cardiovascular health.
Microorganisms 12 02246 g001
Figure 2. Impact of cardiovascular medications on gut microbiome. Cardiovascular medications, including antiplatelet agents (aspirin, ticagrelor), statins, beta-blockers, angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, calcium channel blockers, diuretics, and anticoagulants, induce significant changes in the gut and microbiota. These alterations occur through mechanisms that may include direct antibacterial effects, selective pressures, and indirect influences on the gut environment, such as changes in pH, immune modulation, and bile acid composition. These shifts in the microbiome can affect the microbial balance, drug efficacy, and patient outcomes by influencing gut permeability, systemic inflammation, drug metabolism, and side effects. The figure highlights key microbial changes with their corresponding impacts on drug efficacy and disease management (Arrow up: Increasing, Arrow down: Decreasing).
Figure 2. Impact of cardiovascular medications on gut microbiome. Cardiovascular medications, including antiplatelet agents (aspirin, ticagrelor), statins, beta-blockers, angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, calcium channel blockers, diuretics, and anticoagulants, induce significant changes in the gut and microbiota. These alterations occur through mechanisms that may include direct antibacterial effects, selective pressures, and indirect influences on the gut environment, such as changes in pH, immune modulation, and bile acid composition. These shifts in the microbiome can affect the microbial balance, drug efficacy, and patient outcomes by influencing gut permeability, systemic inflammation, drug metabolism, and side effects. The figure highlights key microbial changes with their corresponding impacts on drug efficacy and disease management (Arrow up: Increasing, Arrow down: Decreasing).
Microorganisms 12 02246 g002
Figure 3. A schematic representation of the potential interactions between the microbiome and cardiovascular disease (CVD) medications, highlighting two key aspects of microbiome involvement: the oral microbiome and the gut microbiome. The left side of the figure zooms in on the oral microbiome, emphasizing its significance in the activation and inactivation of CVD drugs. Dysbiosis within the oral microbiome can impact these processes, potentially affecting the efficacy of medications used in CVD treatment. Moving to the right side of the figure, we shift our focus to the gut microbiome. Here, we illustrate how the gut microbiome also plays a pivotal role in the absorption and metabolism of CVD drugs. Dysbiosis within the gut microbiome also can significantly influence these processes, ultimately affecting the effectiveness of CVD medications.
Figure 3. A schematic representation of the potential interactions between the microbiome and cardiovascular disease (CVD) medications, highlighting two key aspects of microbiome involvement: the oral microbiome and the gut microbiome. The left side of the figure zooms in on the oral microbiome, emphasizing its significance in the activation and inactivation of CVD drugs. Dysbiosis within the oral microbiome can impact these processes, potentially affecting the efficacy of medications used in CVD treatment. Moving to the right side of the figure, we shift our focus to the gut microbiome. Here, we illustrate how the gut microbiome also plays a pivotal role in the absorption and metabolism of CVD drugs. Dysbiosis within the gut microbiome also can significantly influence these processes, ultimately affecting the effectiveness of CVD medications.
Microorganisms 12 02246 g003
Figure 4. How the oral and gut microbiomes affect CVD drugs’ metabolism. This figure highlights how gut and oral microbes affect the metabolism, efficacy, and absorption of cardiovascular medications. Key interactions involve microbes modifying drugs like digoxin, clopidogrel, and beta-blockers, either enhancing or diminishing their therapeutic effects. The figure also shows the role of microbial metabolites in altering drug bioavailability and systemic inflammation, potentially impacting treatment outcomes.
Figure 4. How the oral and gut microbiomes affect CVD drugs’ metabolism. This figure highlights how gut and oral microbes affect the metabolism, efficacy, and absorption of cardiovascular medications. Key interactions involve microbes modifying drugs like digoxin, clopidogrel, and beta-blockers, either enhancing or diminishing their therapeutic effects. The figure also shows the role of microbial metabolites in altering drug bioavailability and systemic inflammation, potentially impacting treatment outcomes.
Microorganisms 12 02246 g004
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

Dharmarathne, G.; Kazi, S.; King, S.; Jayasinghe, T.N. The Bidirectional Relationship Between Cardiovascular Medications and Oral and Gut Microbiome Health: A Comprehensive Review. Microorganisms 2024, 12, 2246. https://doi.org/10.3390/microorganisms12112246

AMA Style

Dharmarathne G, Kazi S, King S, Jayasinghe TN. The Bidirectional Relationship Between Cardiovascular Medications and Oral and Gut Microbiome Health: A Comprehensive Review. Microorganisms. 2024; 12(11):2246. https://doi.org/10.3390/microorganisms12112246

Chicago/Turabian Style

Dharmarathne, Gangani, Samia Kazi, Shalinie King, and Thilini N. Jayasinghe. 2024. "The Bidirectional Relationship Between Cardiovascular Medications and Oral and Gut Microbiome Health: A Comprehensive Review" Microorganisms 12, no. 11: 2246. https://doi.org/10.3390/microorganisms12112246

APA Style

Dharmarathne, G., Kazi, S., King, S., & Jayasinghe, T. N. (2024). The Bidirectional Relationship Between Cardiovascular Medications and Oral and Gut Microbiome Health: A Comprehensive Review. Microorganisms, 12(11), 2246. https://doi.org/10.3390/microorganisms12112246

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