The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Comprehensive Analysis of Serum and Fecal Bile Acid Profiles and Interaction with Gut Microbiota in Primary Biliary Cholangitis
Abstract
Accumulation of bile acids (BAs) contributes significantly to the pathogenesis of primary biliary cholangitis (PBC). Here, we sought to systematically characterize the serum and fecal BA profiles and the linkage between BAs and gut microbiota in PBC. The serum and fecal BAs were compared between 65 UDCA treatment-naive PBC and 109 healthy controls using UPLC-MS in cross-sectional study. In a prospective study, a subgroup of patients was enrolled for BA and microbiota analysis before and after UDCA therapy. BA compositions in serum and feces significantly differed between treatment-naive PBC and controls. Particularly, PBC was associated with decreased conversions of conjugated to unconjugated, and primary to secondary BAs, indicating impaired microbial metabolism of BAs. PBC patients at advanced stage exhibited a more abnormal BA profile compared with early-stage patients. UDCA treatment led to a decreased level of taurine-conjugated BAs, thereby reversing the conjugated/unconjugated ratio in PBC. Moreover, the level of secondary BAs such as DCA and conjugated DCA inversely correlated with PBC-enriched gut microbes (e.g., Veillonella, Klebsiella), while positively correlated with control-enriched microbes (e.g., Faecalibacterium, Oscillospira). Microbiota analysis also revealed a significant increase of taurine-metabolizing bacteria Bilophila spp. in patients after UDCA, which was strongly correlated with decreased taurine-conjugated BAs. In addition, serum FGF19 was remarkably increased in treatment-naïve PBC and decreased after UDCA. Our study established specific alterations of BA compositions in serum and feces of PBC, suggesting the potential for using BAs for diagnosis, and highlighting the possibility of modulating BA profile by altering gut microbiota. Graphical Abstract.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“In primary biliary cholangitis, the gut microbiota alter both serum and faecal bile acid profiles with a decreased conversion of primary to secondary bile acids.36,37”
From Primary biliary cholangitis. (2024) · cites this paper as [36]
Citations
Cites
Intestinal Crosstalk between Bile Acids and Microbiota and Its Impact on Host Metabolism
Wahlstrom, A. M., Sayin, S. I., Marschall, H., & Bäckhed, F. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.05.005 · Cited by 2,969
Bile salt biotransformations by human intestinal bacteria
Ridlon, J. M., Kang, D.-J., & Hylemon, P. B. (2006) · Journal of Lipid Research · doi:10.1194/jlr.r500013-jlr200 · Cited by 2,829
The Enzymes, Regulation, and Genetics of Bile Acid Synthesis
Russell, D. W. (2003) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.72.121801.161712 · Cited by 2,069
Dietary-fat-induced taurocholic acid promotes pathobiont expansion and colitis in Il10-/- mice
Devkota, S., Wang, Y., Musch, M. W., Leone, V., Fehlner-Peach, H., Nadimpalli, A., Antonopoulos, D. A., Jabri, B., & Chang, E. B. (2012) · Nature · doi:10.1038/nature11225 · Cited by 1,904
Fibroblast growth factor 15 functions as an enterohepatic signal to regulate bile acid homeostasis
Inagaki, T., Choi, M., Moschetta, A., Peng, L., Cummins, C. L., McDonald, J. G., Luo, G., Jones, S. A., Goodwin, B., Richardson, J. A., et al. (2005) · Cell Metabolism · doi:10.1016/j.cmet.2005.09.001 · Cited by 1,865
Molecular Basis for Feedback Regulation of Bile Acid Synthesis by Nuclear Receptors
Lu, T. T., Makishima, M., Repa, J. J., Schoonjans, K., Kerr, T. A., Auwerx, J., & Mangelsdorf, D. J. (2000) · Molecular Cell · doi:10.1016/s1097-2765(00)00050-2 · Cited by 1,487
Schwab, M. (2011) · Springer eBooks · doi:10.1007/978-3-642-16483-5_4730 · Cited by 1,241
Regulation of antibacterial defense in the small intestine by the nuclear bile acid receptor
Inagaki, T., Moschetta, A., Lee, Y.-K., Peng, L., Zhao, G., Downes, M., Yu, R. T., Shelton, J. M., Richardson, J. A., Repa, J. J., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509592103 · Cited by 1,164
A Placebo-Controlled Trial of Obeticholic Acid in Primary Biliary Cholangitis
Nevens, F., Andreone, P., Mazzella, G., Strasser, S. I., Bowlus, C., Invernizzi, P., Drenth, J. P. H., Pockros, P. J., Regula, J., Beuers, U., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1509840 · Cited by 1,131
Lindor, K. D., Gershwin, E. M., Poupon, R., Kaplan, M., Bergasa, N. V., & Heathcote, J. E. (2009) · Hepatology · doi:10.1002/hep.22906 · Cited by 1,099
Cited by
Sorted by citations
Gut microbiome, liver immunology, and liver diseases
Wang, R., Tang, R., Li, B., Ma, X., Schnabl, B., & Tilg, H. (2021) · Cellular & Molecular Immunology · doi:10.1038/s41423-020-00592-6 · Cited by 466
Self-citationTanaka, A., Ma, X., Takahashi, A., & Vierling, J. M. (2024) · The Lancet · doi:10.1016/s0140-6736(24)01303-5 · Cited by 177
Self-citationUrsodeoxycholic acid and cancer: From chemoprevention to chemotherapy
Goossens, J., & Bailly, C. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.107396 · Cited by 155
Fang, S., Wang, T., Li, Y., Xue, H., Zou, J., Cai, J., Shi, R., Wu, J., & Ma, Y. (2022) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2022.02.056 · Cited by 135
Self-citationThe microbiota and the gut–liver axis in primary sclerosing cholangitis
Hov, J. R., & Karlsen, T. H. (2022) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-022-00690-y · Cited by 133
Metadata
- Authors
- Chen, W., Wei, Y., Xiong, A., Li, Y., Guan, H., Wang, Q., Miao, Q., Bian, Z., Xiao, X., Lian, M., Zhang, J., Li, B., Cao, Q., Fan, Z., Zhang, W., Qiu, D., Fang, J., Gershwin, M. E., Yang, L., Tang, R., & Ma, X.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Nantong University (CN)
- University of California, Davis (US)
- Corresponding author
- Yang, Li
- Tang, Ruqi
- Ma, Xiong
- ORCID
- Venue
- Clinical Reviews in Allergy & Immunology
- Published
- 2019-03-21
- Volume
- 58
- Issue
- 1
- Pages
- 25-38
- ISSN
- 1080-0549 (ISSN-L)
- 1559-0267
- OpenAlex
- W2924978408
- Cited by
- 166
- References
- 52
- Citations by year
- 2026: 15 · 2025: 26 · 2024: 36 · 2023: 24 · 2022: 21 · 2021: 32 · 2020: 9 · 2019: 3
- FWCI
- 10.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Clinical Reviews in Allergy & Immunology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (81620108002, 81771732, 81830016, 81570469, 81873561, 81573581, 81421001, 81500435)
- Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant (20161311)
- Topics
- Health Sciences › Medicine › Hepatology › Liver Diseases and Immunity
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Keywords
- primary biliary cirrhosis, bile acids, gut microbiota, fecal bile acids, taurine-conjugated bile acids, bile acid metabolism, FGF19, bile acid deconjugation, secondary bile acids, Bilophila, Veillonella, Klebsiella, Faecalibacterium, Oscillospira, disease severity
- MeSH terms
- Gastrointestinal Microbiome, Adult, Aged, Bile Acids and Salts, Cross-Sectional Studies, Disease Susceptibility, Feces, Female, Fibroblast Growth Factors, Humans, Liver Cirrhosis, Biliary, Liver Function Tests, Male, Middle Aged, Models, Biological, Severity of Illness Index, Biomarkers, Cluster Analysis, Case-Control Studies, Computational Biology, Metagenome, Metagenomics, Hydrophobic and Hydrophilic Interactions
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
