The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
The Potential of Gut Commensals in Reinforcing Intestinal Barrier Function and Alleviating Inflammation
Open accessAbstract
The intestinal microbiota, composed of pro- and anti-inflammatory microbes, has an essential role in maintaining gut homeostasis and functionality. An overly hygienic lifestyle, consumption of processed and fiber-poor foods, or antibiotics are major factors modulating the microbiota and possibly leading to longstanding dysbiosis. Dysbiotic microbiota is characterized to have altered composition, reduced diversity and stability, as well as increased levels of lipopolysaccharide-containing, proinflammatory bacteria. Specific commensal species as novel probiotics, so-called next-generation probiotics, could restore the intestinal health by means of attenuating inflammation and strengthening the epithelial barrier. In this review we summarize the latest findings considering the beneficial effects of the promising commensals across all major intestinal phyla. These include the already well-known bifidobacteria, which use extracellular structures or secreted substances to promote intestinal health. Faecalibacterium prausnitzii, Roseburia intestinalis, and Eubacterium hallii metabolize dietary fibers as major short-chain fatty acid producers providing energy sources for enterocytes and achieving anti-inflammatory effects in the gut. Akkermansia muciniphila exerts beneficial action in metabolic diseases and fortifies the barrier function. The health-promoting effects of Bacteroides species are relatively recently discovered with the findings of excreted immunomodulatory molecules. These promising, unconventional probiotics could be a part of biotherapeutic strategies in the future.
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
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
Revised Estimates for the Number of Human and Bacteria Cells in the Body
Sender, R., Fuchs, S., & Milo, R. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002533 · Cited by 5,425
An Immunomodulatory Molecule of Symbiotic Bacteria Directs Maturation of the Host Immune System
Mazmanian, S. K., Liu, C. H., Tzianabos, A. O., & Kasper, D. L. (2005) · Cell · doi:10.1016/j.cell.2005.05.007 · Cited by 2,910
Bifidobacteria can protect from enteropathogenic infection through production of acetate
Fukuda, S., Toh, H., Hase, K., Oshima, K., Nakanishi, Y., Yoshimura, K., Tobe, T., Clarke, J. M., Topping, D. L., Suzuki, T., et al. (2011) · Nature · doi:10.1038/nature09646 · Cited by 2,387
A microbial symbiosis factor prevents intestinal inflammatory disease
Mazmanian, S. K., Round, J. L., & Kasper, D. L. (2008) · Nature · doi:10.1038/nature07008 · Cited by 2,340
Plovier, H., Everard, A., Druart, C., Depommier, C., Van Hul, M., Geurts, L., Chilloux, J., Ottman, N., Duparc, T., Lichtenstein, L., et al. (2017) · Nature Medicine · doi:10.1038/nm.4236 · Cited by 2,204
Akkermansia muciniphila gen. nov., sp. nov., a human intestinal mucin-degrading bacterium
Derrien, M., Vaughan, E. E., Plugge, C. M., & de Vos, W. M. (2004) · International Journal of Systematic and Evolutionary Microbiology · doi:10.1099/ijs.0.02873-0 · Cited by 2,094
The Long-Term Stability of the Human Gut Microbiota
Faith, J. J., Guruge, J. L., Charbonneau, M., Subramanian, S., Seedorf, H., Goodman, A. L., Clemente, J. C., Knight, R., Heath, A. C., Leibel, R. L., et al. (2013) · Science · doi:10.1126/science.1237439 · Cited by 2,058
Zhu, L., Baker, S. S., Gill, C., Liu, W., Alkhouri, R., Baker, R. D., & Gill, S. R. (2013) · Hepatology · doi:10.1002/hep.26093 · Cited by 1,708 · cited 1×
“When comparing the microbiota composition of healthy and obese children, as well as children suffering from NASH, a gradual increase in Proteobacteria has been observed, respectively [32].”
BackgroundPng, C. W., Lindén, S. K., Gilshenan, K. S., Zoetendal, E. G., McSweeney, C. S., Sly, L. I., McGuckin, M. A., & Florin, T. H. J. (2010) · American Journal of Gastroenterology · doi:10.1038/ajg.2010.281 · Cited by 1,364
Cited by
Probiotics and prebiotics in intestinal health and disease: from biology to the clinic
Sanders, M. E., Merenstein, D. J., Reid, G., Gibson, G. R., & Rastall, R. A. (2019) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0173-3 · Cited by 2,059
Leaky gut: mechanisms, measurement and clinical implications in humans
Camilleri, M. (2019) · Gut · doi:10.1136/gutjnl-2019-318427 · Cited by 1,081
Dietary fibre in gastrointestinal health and disease
Gill, S. K., Rossi, M., Bajka, B., & Whelan, K. (2021) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-00375-4 · Cited by 979
Gut Microbiota and Obesity: A Role for Probiotics
Abenavoli, L., Scarpellini, E., Colica, C., Boccuto, L., Salehi, B., Sharifi-Rad, J., Aiello, V., Romano, B., De Lorenzo, A., Izzo, A. A., et al. (2019) · Nutrients · doi:10.3390/nu11112690 · Cited by 615
Vemuri, R., Sylvia, K. E., Klein, S. L., Forster, S. C., Plebanski, M., Eri, R., & Flanagan, K. L. (2019) · Seminars in Immunopathology · doi:10.1007/s00281-018-0716-7 · Cited by 265
Zheng, M., Han, R., Yuan, Y., Xing, Y., Zhang, W., Sun, Z., Liu, Y., Li, J., & Mao, T. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1089600 · Cited by 241
One health, fermented foods and gut microbiota
Bell, V., Ferrão, J., Pimentel, L., Pintado, M., & Fernandes, T. (2018) · Foods · doi:10.3390/foods7120195 · Cited by 188
Dysbiosis and Implication of the Gut Microbiota in Diabetic Retinopathy
Huang, Y., Wang, Z., Ma, H., Ji, S., Chen, Z., Cui, Z., Chen, J., & Tang, S. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.646348 · Cited by 180
Impact of Protein Intake in Older Adults with Sarcopenia and Obesity: A Gut Microbiota Perspective
Prokopidis, K., Cervo, M. M., Gandham, A., & Scott, D. (2020) · Nutrients · doi:10.3390/nu12082285 · Cited by 99
The Gut Microbiome as a Regulator of the Neuroimmune Landscape
Yu, L. W., Agirman, G., & Hsiao, E. Y. (2022) · Annual Review of Immunology · doi:10.1146/annurev-immunol-101320-014237 · Cited by 75
Tsao, S.-P., Nurrahma, B. A., Kumar, R., Wu, C.-H., Yeh, T.-H., Chiu, C.-C., Lee, Y.-P., Liao, Y.-C., Huang, C.-H., Yeh, Y.-T., et al. (2021) · Antioxidants · doi:10.3390/antiox10111823 · Cited by 79
Composition and diversity of gut microbiota in diabetic retinopathy
Bai, J., Wan, Z., Zhang, Y., Wang, T., Xue, Y., & Peng, Q. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.926926 · Cited by 70
Pérez-Matute, P., Íñiguez, M., de Toro, M., Recio-Fernández, E., & Oteo, J. A. (2020) · Scientific Reports · doi:10.1038/s41598-020-64961-x · Cited by 42
Postbiotics as potential new therapeutic agents for sepsis
Lou, X., Xue, J., Shao, R., Mo, C., Wang, F., & Chen, G. (2023) · Burns & Trauma · doi:10.1093/burnst/tkad022 · Cited by 38
Metadata
- Authors
- Hiippala, K., Jouhten, H., Ronkainen, A., Hartikainen, A., Kainulainen, V., Jalanka, J., & Satokari, R.
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2018-07-29
- Volume
- 10
- Issue
- 8
- Pages
- 988
- ISSN
- 2072-6643 (ISSN-L)
- OpenAlex
- W2883138151
- Cited by
- 594
- References
- 33
- FWCI
- 15.46
- Type
- journal article
- Language
- en
- Open access
- gold
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
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.
