Submitted:
08 September 2025
Posted:
09 September 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction to the Gut Microbiome and Cardiovascular Health
2. The Gut-Heart Axis, Dysbiosis and Systemic Inflammation
3. Role of the Key Gut-Derived Metabolites
3.1. Trimethylamine-N-oxide (TMAO)
3.2. Short Chain Fatty Acids (SCFAs)
3.3. Secondary Bile Acids (SBAs)
4. Impact of CVD Drugs on the Gut Microbiome - Pharmacomicrobiomics
4.1. Statins
4.2. Angiotensin-Converting Enzyme Inhibitors/ Angiotensin Receptor Blockers
4.3. Cardiac Glycosides
4.4. Antiplatelets
4.5. Beta Blockers
4.6. Other Classes of Heart Failure Drugs
5. Limitations and Future Directions
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| CVD | Cardiovascular disease |
| MetaHIT | Metagenomics of the Human Intestinal Tract |
| TNF-α | Tumor necrosis factor alfa |
| IFN-γ | Interferon gamma |
| TMAO | Trimethylamine-N-oxide |
| SCFAs | Short-chain fatty acids |
| SBAs | Secondary bile acids |
| MACE | Major Adverse Cardiac Events |
| BNP | B-type natriuretic peptide |
| FXR | Farnesoid X receptor |
| TGR5 | Takeda G protein-coupled receptor 5 |
| LDL | Low-Density Lipoprotein |
| HDL | High-Density Lipoprotein |
| RAAS | Renin-angiotensin-aldosterone system |
| AT1R | Angiotensin 1 receptor |
| AT2R | Angiotensin 2 receptor |
| ARBs | Angiotensin receptor blockers |
| ACEIs | Angiotensin receptor inhibitors |
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| Drug effect | Microbial strain |
|---|---|
| Statins |
↑Lactobacillus ↑Bifidobacterium ↑Faecalibacterium ↑Eubacterium |
| ACEI/ARB |
↓Enterobacter ↓Klebsiella ↑Odoribacter |
| Aspirin |
↓Parabacteroides goldsteinii ↓Prevotella ↓Ruminococcaceae ↓Bacteroides ↓Barnesiella |
| Beta-blockers |
↑Streptococcus ↑Lactobacillus ↓Akkermansia muciniphila ↓Eggerthella lenta |
| Beta-blockers+aspirin/diuretics |
↑Roseburia |
| Empagliflozin |
↑Roseburia ↑Eubacterium ↑Faecalibacterium |
| Spironolactone |
↑Bacteroides ↑Prevotella ↓Eubacteriacea ↓Clostridiales |
| Sacubitril/Valsartan |
↓Escherichia ↓Shigella ↑Lactobacillus ↑Bacteroides ↑Parabacteroides |
| Study | Year of publication | Study design | Results |
Future insights |
|---|---|---|---|---|
| Sun et al. [43] | 2018 | Clinical trial involving hypercholesterolemic patients treated with atorvastatin. It compares the composition of gut microbiota between statin sensitive and resistant groups. |
Gut microbiota composition differs significantly between statin sensitive and statin resistant patients. The statin sensitive group exhibited higher biodiversity compared to resistant group. Increased Lactobacillus, Eubacterium, Faecalibacterium, and Bifidobacterium. Decreased proportion of Clostridium. |
The impact of genetic polymorphisms on statin pharmacodynamics remains a significant area of research. Further studies could assess how different bacterial taxa influence statin efficacy and dosage adjustments. |
| Shi et al. [45] | 2024 | A Mendelian randomization two-sample design, which utilizes genetic variants to estimate the impact of lipid-lowering medication on gut microbiota diversity. |
Different genetic proxies for lipid-lowering drugs affects the abundance of gut microbiota. Some has been associated with an increase in the genus Eggerthella. Others were linked to the order Pasteurellales and the genus Haemophilus. |
Studies using individual-level data are needed for comprehensive insights on associations. Investigating the effects of lipid-lowering drugs across different patient subgroups is necessary. |
| Tian et al. [46] | 2024 | A randomized, double-blind, placebo-controlled, parallel-group trial aimed to assess the role of probiotics in treating hyperlipidemia. |
Probiotics reduced total cholesterol, triglycerides, and LDLc- levels in patients with hyperlipidemia. Probiotics increased Tenericutes and reduced Proteobacteria at the phylum level. Increased the abundance of Bifidobacterium, Lactobacillus, and Akkermansia genus, and decreased Escherichia, Eggerthella, and Sutterella. |
Future research should explore different probiotic strains and long-term effects. Larger, multi-center clinical trials are warranted to confirm findings. |
| Suresh et al. [47] | 2024 | A systematic review and meta-analysis of randomized controlled trials including clinical and observational studies, focusing on the gut microbiome and SCFAs. |
SCFAs are identified as beneficial in decreasing CVD risk factors. |
Investigating the long-term impacts of microbiome manipulation on cardiovascular health is essential. Understanding the interactions between cardiovascular medications and the gut microbiome has potentials to optimize treatment efficacy. |
| Khan et al. [48] | 2018 | A cross-sectional observational study that compares gut microbiota analyses among three groups: untreated hypercholesterolemic patients, atorvastatin-treated patients, and healthy subjects. |
Atorvastatin treatment increased anti-inflammatory bacteria, A. muciniphila and F. prausnitzii, and decreased the levels of proinflammatory taxa, such as members of Proteobacteria phylum, in hypercholesterolemic patients. |
Future studies should focus on the specific mechanisms by which gut microbiota influences lipid metabolism and inflammation. |
| Kummen et al. [49] | 2020 | A randomized controlled trial assessing the effects of rosuvastatin on gut microbiome composition. |
Rosuvastatin treatment showed no significant changes in gut microbial diversity. Reduced potential to metabolize TMAO precursors. |
Re-analyzing TMAO-related metabolites in previous statin trials could provide valuable insights. Exploring the mechanisms behind the pleiotropic effects of statins may enhance understanding of their impact on the microbiome. |
| Kaddurah-Daouk et al. [50] | 2011 | Clinical investigation aiming to elucidate variability in statin response through metabolomic profiling. |
Increased simvastatin levels correlated with higher BAs concentrations. |
Further research should focus on the interactions between genome, microbiome, and environmental factors in cardiovascular disease management. |
| Wang L et al. [51] | 2018 | An experimental investigation involving rat models to analyze the effects of intestinal microflora on lipid-reduction efficacy of rosuvastatin. |
Intestinal microflora significantly alters the lipid-reduction efficacy of rosuvastatin. Lactobacillus and Bifidobacterium populations were markedly reduced when antibiotics were associated to rosuvastatin treatment. Microbiome diversity recovered four weeks post-antibiotic treatment, restoring the efficacy of statin treatment. |
Investigating the long-term effects of antibiotic treatment on intestinal microflora diversity and lipid metabolism is essential. The role of specific probiotics in enhancing the efficacy of rosuvastatin call for further investigation. |
| Dong et al. [54] | 2022 | A cross-sectional analysis including patients with hypertension to evaluate the effects of ACEI/ARBs on gut microbiome and metabolites. |
ACEI/ARBs therapy reduces pathogenic bacteria like Enterobacter and Klebsiella while increasing beneficial ones such as Odoribacter. |
Research is needed to monitor dynamic changes in microbial and metabolic features between well-controlled hypertensive patients and healthy subjects using ACEI/ARBs. |
| Yang et al. [56] | 2022 | Preclinical research using spontaneously hypertensive rats to assess the effects of gut microbiota on antihypertensive medications. |
Gut microbiome can reduce the antihypertensive effect of quinapril in spontaneously hypertensive rats treated with antibiotics. Coprococcus comes catabolizes ester ACE inhibitors, lowering their effectiveness. |
In vivo researches are needed to investigate the impact of gut microbiota on antihypertensive medication effects. Identifying specific gut microbes could unveil new therapeutic strategies for resistant hypertension. |
| Steiner et al. [59] | 2022 | The paper discusses guidelines for reporting gut microbiome analysis in experimental hypertension. |
Various cardiovascular drugs, like captopril and aspirin, interact with gut microbiota, affecting their pharmacokinetics. |
Research should assess the impact of microbiome alterations on drug response variability across demographics and comorbidities. Advanced sequencing and computational techniques may better characterize the relationship of microbiome and cardiovascular drug therapy. |
| Haiser et al. [60] | 2014 | The research integrates gut microbiome studies into personalized medicine through various experimental approaches, involving human intervention studies and gnotobiotic mouse experiments. | The study identified a cytochrome-encoding operon in Eggerthella lenta, activated by digoxin, serving as a microbial biomarker for drug inactivation |
Investigating the predictive value of specific operon abundance on digoxin pharmacokinetics in diverse patient populations is essential. Human intervention trials are needed to explore co-therapy strategies. The application of this framework to other drugs influenced by gut microbiota is also suggested. |
| Li et al. [65] | 2024 | The study is a combination of clinical and experimental research, utilizing both human cohorts and animal models. |
Aspirin treatment significantly decreased the abundance of Parabacteroides, particularly Parabacteroides goldsteinii, in healthy individuals. Mice supplemented with Parabacteroides goldsteinii showed reduced aspirin-mediated intestinal damage. |
Future research should focus on exploring the function of specific genes found in the genomes of various microorganisms. Understanding the mechanisms by which Parabacteroides species contribute to BAs metabolism and gut health. |
| Shearer et al. [68] | 2024 | A population-based cohort study, involving 134 middle-aged adults diagnosed with cardiometabolic disease, focusing on the relationship between medication use and gut microbiota composition. |
46 associations were identified between microbial composition and single medications, including β-blockers and statins depleting Akkermansia muciniphila. Increasing medication use correlated negatively with α-diversity in gut microbiota among participants. |
Future research could utilize fecal metabolomics profiling to confirm functional changes in gut microbiota. Further exploration of the relationship between medications and gut microbiota at genus and species levels is warranted. |
| Deng et al. [70] | 2022 | Randomized, open-label, two-arm clinical trial which included treatment-naive patients with type 2 diabetes and cardiovascular risk factors. |
Significant reductions were found in glycated hemoglobin levels in both empagliflozin and metformin groups. Empagliflozin increased beneficial SCFA-producing bacteria and reduced harmful strains. |
Larger sample sizes and longer follow-up periods are needed to investigate the underlying mechanisms of empagliflozin related microbiome changes. Different SGLT2 inhibitors might have as well impact on gut microbiome composition. |
| González-Correa et al. [71] | 2023 | Experimental research on animal models, investigating the effects of spironolactone on gut microbiome and hypertension. |
Spironolactone improved gut dysbiosis in spontaneously hypertensive rats by restoring Firmicutes/Bacteroidetes proportions and acetate-producing bacteria populations to normal levels. |
Exploring the long-term effects of spironolactone treatment on gut dysbiosis and overall health in hypertensive models. |
| Wang P et al. [72] | 2022 | Preclinical investigation involving male mice, aimed to explore the effects of Sacubitril/Valsartan on diabetic kidney disease. |
Sacubitril/Valsartan treatment increased beneficial SCFAs-producing bacteria. |
Future research should verify the findings of this preliminary study in clinical experiments. |
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