The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Gut Microbiota, Lipopolysaccharides, and Innate Immunity in the Pathogenesis of Obesity and Cardiovascular Risk
Abstract
Compelling evidence supports the concepts that gut microbiota actively promotes weight gain and fat accumulation and sustains, indirectly, a condition of low-grade inflammation, thus enhancing the cardiovascular risk. Fewer Bacteroidetes and more Firmicutes seem to characterize the gut microbiota of obese people as compared with that of lean individuals. This difference translates into an increased efficiency of microbiota of obese individuals in harvesting energy from otherwise indigestible carbohydrates. Furthermore, the microbiota also seems able to favor fat accumulation. Indeed, studies performed in germ-free animals have demonstrated that conventionalization of sterile intestine with gut microbiota is associated with an enhanced expression of various lipogenic genes in different tissues, i.e., hepatic, adipose, and muscle tissues. Finally, the microbiota favors systemic exposure to the lipopolysaccharides (LPSs), large glycolipids derived from the outer membrane of Gram-negative bacteria. LPSs can cause a condition of "metabolic endotoxemia" characterized by low-grade inflammation, insulin resistance, and augmented cardiovascular risk. LPSs are a powerful trigger for the innate immune system response. Upon binding to the Toll-like receptor 4 and its coreceptors, LPSs trigger a cascade of responses ultimately resulting in the release of proinflammatory molecules that interfere with modulation of glucose and insulin metabolism, promote development and rupture of the atherosclerotic plaque, and favor progression of fatty liver disease to steatohepatitis. This review gives a comprehensive breakdown of the interaction among gut microbiota, LPSs, and the innate immune system in the development of obesity and promotion of an individual's cardiovascular risk.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
The gut microbiota as an environmental factor that regulates fat storage
Bäckhed, F., Ding, H., Wang, T., Hooper, L. V., Koh, G. Y., Nagy, A., Semenkovich, C. F., & Gordon, J. I. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407076101 · Cited by 6,245
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176
Towards a natural system of organisms: proposal for the domains Archaea, Bacteria, and Eucarya.
Woese, C. R., Kandler, O., & Wheelis, M. L. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.12.4576 · Cited by 6,128
Host-Bacterial Mutualism in the Human Intestine
Bäckhed, F., Ley, R. E., Sonnenburg, J. L., Peterson, D. A., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1104816 · Cited by 5,277
Prokaryotes: The unseen majority
Whitman, W. B., Coleman, D. C., & Wiebe, W. J. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.12.6578 · Cited by 4,871
Cani, P. D., Bibiloni, R., Knauf, C., Waget, A., Neyrinck, A. M., Delzenne, N. M., & Burcelin, R. (2008) · Diabetes · doi:10.2337/db07-1403 · Cited by 4,819
Steatohepatitis: A tale of two “hits”?
Day, C. P., & James, O. F. W. (1998) · Gastroenterology · doi:10.1016/s0016-5085(98)70599-2 · Cited by 4,285
TLR4 links innate immunity and fatty acid-induced insulin resistance
Shi, H., Kokoeva, M. V., Inouye, K., Tzameli, I., Yin, H., & Flier, J. S. (2006) · Journal of Clinical Investigation · doi:10.1172/jci28898 · Cited by 3,690
Cited by
Formation of short chain fatty acids by the gut microbiota and their impact on human metabolism
Morrison, D. J., & Preston, T. (2016) · Gut Microbes · doi:10.1080/19490976.2015.1134082 · Cited by 3,781
Inflammaging: a new immune–metabolic viewpoint for age-related diseases
Franceschi, C., Garagnani, P., Parini, P., Giuliani, C., & Santoro, A. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0059-4 · Cited by 3,586
Gut Microbiota and Metabolic Endotoxemia in Young Obese Mexican Subjects
Radilla-Vázquez, R. B., Parra-Rojas, I., Martínez-Hernández, N. E., Márquez-Sandoval, Y. F., Illades-Aguiar, B., & Castro-Alarcón, N. (2016) · Obesity Facts · doi:10.1159/000442479 · Cited by 1,196
Dietary lipids, gut microbiota and lipid metabolism
Schoeler, M., & Caesar, R. (2019) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-019-09512-0 · Cited by 1,163
Obesity, inflammation, and the gut microbiota
Cox, A. J., West, N. P., & Cripps, A. W. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70134-2 · Cited by 869
Metadata
- Authors
- Manco, M., Putignani, L., & Bottazzo, G. F.
- Venue
- Endocrine Reviews
- Publisher
- The Endocrine Society
- Published
- 2010-12-01
- Volume
- 31
- Issue
- 6
- Pages
- 817-844
- ISSN
- 0163-769X (ISSN-L)
- 1945-7189
- OpenAlex
- W1976806178
- Cited by
- 483
- References
- 46
- FWCI
- 9.33
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Gut Microbiota, Lipopolysaccharides, and Innate Immunity in the Pathogenesis of Obesity and Cardiovascular Risk. https://app.cochat.ai/papers/10.1210/er.2009-0030
- The paper
- Manco, M., Putignani, L., & Bottazzo, G. F. (2010). Gut Microbiota, Lipopolysaccharides, and Innate Immunity in the Pathogenesis of Obesity and Cardiovascular Risk. Endocrine Reviews. https://doi.org/10.1210/er.2009-0030
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.
