The DOI matches its Crossref record; 202 of the 202 references it cites were found in a registry or an index.
Faecalibacterium: a bacterial genus with promising human health applications
Open accessAbstract
In humans, many diseases are associated with alterations in gut microbiota, namely increases or decreases in the abundance of specific bacterial groups. One example is the genus Faecalibacterium. Numerous studies have underscored that low levels of Faecalibacterium are correlated with inflammatory conditions, with inflammatory bowel disease (IBD) in the forefront. Its representation is also diminished in the case of several diseases, including colorectal cancer (CRC), dermatitis, and depression. Additionally, the relative presence of this genus is considered to reflect, at least in part, intestinal health status because Faecalibacterium is frequently present at reduced levels in individuals with gastrointestinal diseases or disorders. In this review, we first thoroughly describe updates to the taxonomy of Faecalibacterium, which has transformed a single-species taxon to a multispecies taxon over the last decade. We then explore the links discovered between Faecalibacterium abundance and various diseases since the first IBD-focused studies were published. Next, we examine current available strategies for modulating Faecalibacterium levels in the gut. Finally, we summarize the mechanisms underlying the beneficial effects that have been attributed to this genus. Together, epidemiological and experimental data strongly support the use of Faecalibacterium as a next-generation probiotic (NGP) or live biotherapeutic product (LBP).
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
1 retracted
LI, L., & Ye, J. (2020) · Medicine · doi:10.1097/md.0000000000021788 · Cited by 57
RetractedA human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
Hill (2014) · doi:10.1038/nrgastro.2014.66 · Cited by 9,592
Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors
Routy, B., Le Chatelier, E., Derosa, L., Duong, C. P. M., Alou, M. T., Daillère, R., Fluckiger, A., Messaoudene, M., Rauber, C., Roberti, M. P., et al. (2018) · Science · doi:10.1126/science.aan3706 · Cited by 5,671 · cited 1×
“…abunance to neurological conditions is far more preliminary than that xamining the links with diseases such as IBD. ancer he gut microbiota also appears to have an impact on the efficacy f imm une c hec kpoint inhibitors (Routy et al. 2018 , Daillere et al. 020 , Effendi et al. 2022 ).”
BackgroundCryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286
Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients
Gopalakrishnan, V., Spencer, C. N., Nezi, L., Reuben, A., Andrews, M. C., Karpinets, T. V., Prieto, P. A., Vicente, D., Hoffman, K., Wei, S. C., et al. (2018) · Science · doi:10.1126/science.aan4236 · Cited by 4,812
Richness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662
Sokol, H., Pigneur, B., Watterlot, L., Lakhdari, O., Bermúdez-Humarán, L. G., Gratadoux, J.-J., Blugeon, S., Bridonneau, C., Furet, J.-P., Corthier, G., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804812105 · Cited by 4,413
Self-citationOlm, M. R., Brown, C. T., Brooks, B., & Banfield, J. F. (2017) · The ISME Journal · doi:10.1038/ismej.2017.126 · Cited by 3,031
Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment
Morgan, X. C., Tickle, T. L., Sokol, H., Gevers, D., Devaney, K. L., Ward, D. V., Reyes, J. A., Shah, S. A., LeLeiko, N., Snapper, S. B., et al. (2012) · Genome Biology · doi:10.1186/gb-2012-13-9-r79 · Cited by 2,713
Self-citation
Cited by
Gut microbiota variations in depression and anxiety: a systematic review
Cao, Y., Cheng, Y., Pan, W., Diao, J., Sun, L., & Meng, M. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06871-8 · Cited by 80
Gut dysbiosis in oncology: a risk factor for immunoresistance
(2026) · doi:10.1038/s41422-025-01212-6 · Cited by 24
Ye, Q., Sun, S., Deng, J., Chen, X., Zhang, J., Lin, S., Du, H., Gao, J., Zou, X., Lin, X., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-47760-y · Cited by 11
CauTrigger: deciphering biological system state transitions by hierarchical causal decomposition
Zhang, C., Cai, D., Aihara, K., & Chen, L. (2026) · Nature Methods · doi:10.1038/s41592-026-03274-9
Metadata
- Authors
- Martín, R., Rios-Covian, D., Huillet, E., Auger, S., Khazaal, S., Bermúdez-Humarán, L. G., Sokol, H., Chatel, J.-M., & Langella, P.
- Venue
- FEMS Microbiology Reviews
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-07
- Volume
- 47
- Issue
- 4
- ISSN
- 0168-6445 (ISSN-L)
- 1574-6976
- OpenAlex
- W4384276655
- Cited by
- 566
- References
- 202
- FWCI
- 42.29
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Faecalibacterium: a bacterial genus with promising human health applications. https://app.cochat.ai/papers/10.1093/femsre/fuad039
- The paper
- Martín, R., Rios-Covian, D., Huillet, E., Auger, S., Khazaal, S., Bermúdez-Humarán, L. G., Sokol, H., Chatel, J.-M., & Langella, P. (2023). Faecalibacterium: a bacterial genus with promising human health applications. FEMS Microbiology Reviews. https://doi.org/10.1093/femsre/fuad039
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.