Table 1.
Changes and characteristics of the gut microbiota in patients with three common CVDs.
| Cardiovascular diseases | Patient population | Main findings/Outcomes | Mechanism | References |
|---|---|---|---|---|
| Atherosclerosis | 70 with CAD, and 98 Ctrls | The relative abundance of Firmicutes, Bacteroidetes decreased, while Proteobacteria and Actinobacteria increased in the CAD group, Escherichia-Shigella, Lactobacillus, and Enterococcus were found to be significantly enriched in the CAD group. | Inflammation caused by disturbances in the gut microbiota accelerate the progression of coronary heart disease. | Zhu et al. (2018) |
| 39 CAD patients,and 50 healthy volunteers | The Lactobacillales was increased, whereas the phylum Bacteroidetes (the genera Bacteroides, Prevotella) was decreased in the CAD group. | Bacteroides fragilis can promote regulatory T-cell function, regulating adaptive immune. | Emoto et al. (2016) | |
| Of the 108 MZ twins, 14 pairs discordant for carotid intima-media thickness (IMT) were selected to undergo a stool sample analysis | The group with high IMT values had low microbiota diversity, Firmicutes/Bacteroidetes ratio was greater; the Firmicutes had higher abundance, whereas that of Prevotellaceae was lower. Normal carotid IMT values were associated with a substantially higher fraction of Prevotellaceae. | The carotid-femoral pulse wave velocity (PWV) was negatively correlated with gut microbiome alpha diversity. The specific mechanism awaits further study. | Szabo et al. (2021) | |
| 41 controls, 56 subjects with pHTN and 99 with primary HTN | The microbiome characteristic in pre-hypertension group was quite similar to that in hypertension, genera such as Prevotella and Klebsiella are overepresented in individuals with pHTN or HTN, a reduction of Faecalibacterium, Oscillibacter, Roseburia, Bifidobacterium, Coprococcus and Butyrivibrio. | Prevotella may trigger the inflammatory response; over production of LPS by gut microbiota seems to be directly linked to HTN development. | Li et al. (2017) | |
| Hypertension | 4,672 subjects (mean age 49.8 ± 11.7 years, 52% women) from six different ethnic groups participating in the HELIUS study | The abundance of Roseburia spp., Clostridium sensu stricto spp., Roseburia hominis, Romboutsia spp., Streptococcus spp., and Ruminococcaceae NK4A214 spp. was negatively associated with both SBP and DBP. | SCFA-producing microbes are associated with lower BP. | Verhaar et al. (2020) |
| SHR models; two rat models of hypertension and a small cohort of patients was used for bacterial genomic analysis | Lactate-producing bacteria (Streptococcus and Turicibacter) were in higher quantities in the SHR, the F/B ratio was increased, a dysfunction in both acetogenic and butyrogenic capabilities. | HTN-associated dysbiosis is characterized as an accumulation of lactate-producing bacteria and a reduction of acetate and butyrate producers. | Yang et al. (2015) | |
| 213 pregnant women, 11 women with pre-eclampsia (DPE), 202 controls | Women with DPE had significantly lower (alpha) diversity in their gut microbiota, and the SCFAs-producers, such as Coprococcus, Roseburia, Lachnospira, Butyricimonas, Unclassified Clostridiaceae, and Unclassified Clostridiales are reduced compared to the control group. | Reduced numbers of butyrate-producing bacteria in the gut microbiota induces lower circulating butyrate levels, influence SBP during early pregnancy. | Altemani et al. (2021) | |
| 20 with HF due to frequent etiologies like ICMP and DCM, 20 healthy control subjects | Coriobacteriaceae, Erysipelotrichaceae and Ruminococcaceae, Blautia, Collinsella, uncl. Erysipelotrichaceae, and uncl. Ruminococcaceae showed a significant decrease, Escherichia/Shigella were enriched in HF cases. The pattern of depleted genera Blautia and Collinsella seems to be HF specific. | Intestinal epithelial dysfunction led to increasing permeability, possibly induced a bacterial shift and given rise to systemic inflammation. | Luedde et al. (2017) | |
| Heart failure | 60 well-nourished patients in stable condition with CHF; 20 matched healthy control subjects | Compared with normal control subjects, the entire CHF population had massive quantities of pathogenic bacteria and Candida, such as Campylobacter, Shigella, Salmonella, Yersinia enterocolitica, and Candida species. | Antimicrobial, hypoxia and acid/base disturbance, bowel ischemia, gastrointestinal dysmotility et al. may induce overgrowth of pathogenic bacteria and translocation. | Pasini et al. (2016) |
| 22 patients admitted for HF and 11 control subjects without a history of HF | Compared with control subjects, the phylum Actinobacteria and Bifiodobacterium was enriched whereas Megamonas was depleted, and plasma concentration of trimethylamine N-oxide (TMAO) was increased in HF patients; compared with the compensated HF patients, the decompensated HF had more abundant Escherichia/Shigella in the same patient. | An abundance of Escherichia/Shigella cluster means more TMA lyase (CutC/D) gene and higher circulating TMAO levels, implying certain bacteria harboring TMA lyases may enrich in the decompensated phase of HF. | Hayashi et al. (2018) |
CAD, coronary artery disease; HTN, hypertension; pHTN, pre-hypertension; HELIUS, Healthy Life In an Urban Setting; SBP, systolic blood pressure; DBP, diastolic blood pressure; SHR, spontaneously hypertensive rat; HF, heart failure; ICMP, ischemic cardiomyopathy; DCM, dilated cardiomyopathy; CHF, chronic heart failure; DPE, pre-eclampsia.