期刊
GENOME MEDICINE
卷 13, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s13073-021-01007-5
关键词
Framingham Heart Study; Gut microbiome; Cardiovascular disease; Type 2 diabetes; 16S rRNA gene sequencing; Microbial taxonomy
资金
- National Institutes of Health [R01 HL131015, RC2 DK114784, P30 DK043351]
- NHLBI [NO1-HC-25195, HHSN268201500001I, 75N92019D00031]
The study shows that overall microbial diversity decreases with increasing 10-year CVD risk and body mass index measures. It links lifestyle factors, especially diet and exercise, to microbial diversity, and reveals microbial associations with CVD, diabetes, prescription medications, anthropometric measurements, and blood tests. The findings suggest that the gut microbiome may contribute to CVD pathogenesis and support new hypothesis generation around shared mechanisms influencing metabolic syndrome, diabetes, and CVD risk.
Background The human gut harbors trillions of microbes that play dynamic roles in health. While the microbiome contributes to many cardiometabolic traits by modulating host inflammation and metabolism, there is an incomplete understanding regarding the extent that and mechanisms by which individual microbes impact risk and development of cardiovascular disease (CVD). The Framingham Heart Study (FHS) is a multi-generational observational study following participants over decades to identify risk factors for CVD by correlating genetic and phenotypic factors with clinical outcomes. As a large-scale population-based cohort with extensive clinical phenotyping, FHS provides a rich landscape to explore the relationships between the gut microbiome and cardiometabolic traits. Methods We performed 16S rRNA gene sequencing on stool from 1423 participants of the FHS Generation 3, OMNI2, and New Offspring Spouse cohorts. Data processing and taxonomic assignment were performed with the 16S bioBakery workflow using the UPARSE pipeline. We conducted statistical analyses to investigate trends in overall microbiome composition and diversity in relation to disease states and systematically examined taxonomic associations with a variety of clinical traits, disease phenotypes, clinical blood markers, and medications. Results We demonstrate that overall microbial diversity decreases with increasing 10-year CVD risk and body mass index measures. We link lifestyle factors, especially diet and exercise, to microbial diversity. Our association analyses reveal both known and unreported microbial associations with CVD and diabetes, related prescription medications, as well as many anthropometric and blood test measurements. In particular, we observe a set of microbial species that demonstrate significant associations with CVD risk, metabolic syndrome, and type 2 diabetes as well as a number of shared associations between microbial species and cardiometabolic subphenotypes. Conclusions The identification of significant microbial taxa associated with prevalent CVD and diabetes, as well as risk for developing CVD, adds to increasing evidence that the microbiome may contribute to CVD pathogenesis. Our findings support new hypothesis generation around shared microbe-mediated mechanisms that influence metabolic syndrome, diabetes, and CVD risk. Further investigation of the gut microbiomes of CVD patients in a targeted manner may elucidate microbial mechanisms with diagnostic and therapeutic implications.
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