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The mutual interplay of gut microbiota, diet and human disease
Open accessAbstract
The intestinal milieu harbours the gut microbiota, consisting of a complex community of bacteria, archaea, fungi, viruses and protozoans that bring to the host organism an endowment of cells and genes more numerous than its own. In the last 10 years, mounting evidence has highlighted the prominent influence of the gut mutualistic bacterial communities on human health. Microbial colonization occurs alongside with immune system development and plays a role in intestinal physiology. The community of the gut microbiota does not undergo significant fluctuations throughout adult life. However, bacterial infections, antibiotic treatment, lifestyle, surgery and diet might profoundly affect it. Gut microbiota dysbiosis, defined as marked alterations in the amount and function of the intestinal microorganisms, is correlated with the aetiology of chronic noncommunicable diseases, ranging from cardiovascular, neurologic, respiratory and metabolic illnesses to cancer. In this review, we focus on the interplay among gut microbiota, diet and host to provide a perspective on the role of microbiota and their unique metabolites in the pathogenesis and/or progression of various human disorders. We discuss interventions based on microbiome studies, that is faecal microbiota transplantation, probiotics and prebiotics, to introduce the concept that correcting gut dysbiosis can ameliorate disease symptoms, thus offering a new approach towards disease treatment.
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Metadata
- Authors
- Illiano, P., Brambilla, R., & Parolini, C.
- Venue
- The FEBS Journal
- Publisher
- Wiley
- Published
- 2020-02-03
- Volume
- 287
- Issue
- 5
- Pages
- 833-855
- ISSN
- 1742-464X (ISSN-L)
- 1742-4658
- OpenAlex
- W2999289539
- Cited by
- 322
- References
- 227
- FWCI
- 11.55
- Type
- journal article
- Language
- en
- Open access
- green
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 ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.