Far from the eyes, close to the heart: dysbiosis of gut microbiota and cardiovascular consequences
Open accessAbstract
These days, the gut microbiota is universally recognized as an active organ that can modulate the overall host metabolism by promoting multiple functions, from digestion to the systemic maintenance of overall host physiology. Dysbiosis, the alteration of the complex ecologic system of gut microbes, is associated with and causally responsible for multiple types of pathologies. Among the latters, metabolic diseases such as type 2 diabetes and obesity are each distinguishable by a unique gut microbiota profile. Interestingly, the specific microbiota typically found in the blood of diabetic patients also has been observed at the level of atherosclerotic plaque. Here, we report evidence from the literature, as well as a few controversial reports, regarding the putative role of gut microbiota dysbiosis-induced cardiovascular diseases, such as atherosclerosis, which are common comorbidities of metabolic dysfunction.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Numerous facets of GI microbial community composition and metabolism have been associated with various disease states, including CVD, obesity, diabetes, and features of metabolic syndrome.
“Numerous facets of GI microbial community composition and metabolism have been associated with various disease states, including CVD, obesity, diabetes, and features of metabolic syndrome[274,310–313].”
From Enterosalivary nitrate metabolism and the microbiome: Intersection of microbial metabolism, nitric oxide and diet in cardiac and pulmonary vascular health (2017) · cites this paper as [312]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 62 · Cited by 93
- Authors
- Serino, M., Blasco-Baque, V., Nicolas, S., & Burcelin, R.
- Affiliations
- Université Toulouse III - Paul Sabatier (FR)
- Venue
- Current Cardiology Reports
- Published
- 2014-10-11
- Volume
- 16
- Issue
- 11
- Pages
- 540-540
- ISSN
- 1523-3782 (ISSN-L)
- 1534-3170
- PMC
- PMC4194023
- OpenAlex
- W1986227075
- Cited by
- 93
- References
- 62
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 5 · 2022: 8 · 2021: 11 · 2020: 13 · 2019: 12 · 2018: 5 · 2017: 13 · 2016: 14 · 2015: 5
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Current Cardiology Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Société Francophone du Diabète
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Keywords
- gut microbiota, dysbiosis, cardiovascular disease, atherosclerosis, type 2 diabetes, obesity, metabolic dysfunction, atherosclerotic plaque, blood microbiota, host metabolism
- MeSH terms
- Animals, Disease Models, Animal, Humans, Immunity, Innate, Inflammation, Periodontitis, Evidence-Based Medicine, Probiotics, Gastrointestinal Tract, Atherosclerosis, Mice, Rats, Microbiota, Dysbiosis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review