The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.
Targeting the alternative bile acid synthetic pathway for metabolic diseases
Open accessAbstract
The gut microbiota is profoundly involved in glucose and lipid metabolism, in part by regulating bile acid (BA) metabolism and affecting multiple BA-receptor signaling pathways. BAs are synthesized in the liver by multi-step reactions catalyzed via two distinct routes, the classical pathway (producing the 12α-hydroxylated primary BA, cholic acid), and the alternative pathway (producing the non-12α-hydroxylated primary BA, chenodeoxycholic acid). BA synthesis and excretion is a major pathway of cholesterol and lipid catabolism, and thus, is implicated in a variety of metabolic diseases including obesity, insulin resistance, and nonalcoholic fatty liver disease. Additionally, both oxysterols and BAs function as signaling molecules that activate multiple nuclear and membrane receptor-mediated signaling pathways in various tissues, regulating glucose, lipid homeostasis, inflammation, and energy expenditure. Modulating BA synthesis and composition to regulate BA signaling is an interesting and novel direction for developing therapies for metabolic disease. In this review, we summarize the most recent findings on the role of BA synthetic pathways, with a focus on the role of the alternative pathway, which has been under-investigated, in treating hyperglycemia and fatty liver disease. We also discuss future perspectives to develop promising pharmacological strategies targeting the alternative BA synthetic pathway for the treatment of metabolic diseases.
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
Host-gut microbiota metabolic interactions
Nicholson, J. K., Holmes, E., Kinross, J., Burcelin, R., Gibson, G., Jia, W., & Pettersson, S. (2012) · Science · doi:10.1126/science.1223813 · Cited by 4,760
Self-citationIntestinal Crosstalk between Bile Acids and Microbiota and Its Impact on Host Metabolism
Wahlström, A., Sayin, S. I., Marschall, H.-U., & Bäckhed, F. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.05.005 · Cited by 2,851
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
Sayin, S. I., Wahlström, A., Felin, J., Jäntti, S., Marschall, H.-U., Bamberg, K., Angelin, B., Hyötyläinen, T., Orešič, M., & Bäckhed, F. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.01.003 · Cited by 2,331
Bile acid-microbiota crosstalk in gastrointestinal inflammation and carcinogenesis
Jia, W., Xie, G., & Jia, W. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2017.119 · Cited by 1,924
Self-citationPleiotropic Roles of Bile Acids in Metabolism
de Aguiar Vallim, T. Q., Tarling, E. J., & Edwards, P. A. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.03.013 · Cited by 1,209
Chávez-Talavera, O., Tailleux, A., Lefebvre, P., & Staels, B. (2017) · Gastroenterology · doi:10.1053/j.gastro.2017.01.055 · Cited by 970
Huang, F., Zheng, X., Ma, X., Jiang, R., Zhou, W., Zhou, S., Zhang, Y., Lei, S., Wang, S., Kuang, J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12896-x · Cited by 789
Self-citationIntestinal FXR agonism promotes adipose tissue browning and reduces obesity and insulin resistance
Fang, S., Suh, J. M., Reilly, S. M., Yu, E., Osborn, O., Lackey, D., Yoshihara, E., Perino, A., Jacinto, S., Lukasheva, Y., et al. (2015) · Nature Medicine · doi:10.1038/nm.3760 · Cited by 738
Ursodeoxycholic acid for treatment of nonalcoholic steatohepatitis: results of a randomized trial
Lindor, K. D., Kowdley, K. V., Heathcote, J. E., Harrison, E. M., Jorgensen, R., Angulo, P., Lymp, J. F., Burgart, L., & Colin, P. (2004) · Hepatology · doi:10.1002/hep.20092 · Cited by 727
Cited by
Functions of Gut Microbiota Metabolites, Current Status and Future Perspectives
Liu, J., Tan, Y., Cheng, H., Zhang, D., Feng, W., & Peng, C. (2022) · Aging and disease · doi:10.14336/ad.2022.0104 · Cited by 529
Metabolic Messengers: bile acids
Perino, A., & Schoonjans, K. (2022) · Nature Metabolism · doi:10.1038/s42255-022-00559-z · Cited by 223
Interactive relationships between intestinal flora and bile acids
Guo, X., Okpara, E. S., Hu, W., Yan, C., Wang, Y., Liang, Q., Chiang, J. Y. L., & Han, S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158343 · Cited by 206
Li, M., Wang, S., Li, Y., Zhao, M., Kuang, J., Liang, D., Wang, J., Wei, M., Rajani, C., Ma, X., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29589-7 · Cited by 175
Self-citation[Retracted] A Review of Bile Acid Metabolism and Signaling in Cognitive Dysfunction‐Related Diseases
Weng, Z.-B., Chen, Y.-R., Lv, J.-T., Wang, M.-X., Chen, Z.-Y., Zhou, W., Shen, X.-C., Zhan, L.-B., & Wang, F. (2022) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2022/4289383 · Cited by 32
Retracted
Metadata
- Authors
- Jia, W., Wei, M., Rajani, C., & Zheng, X.
- Venue
- Protein & Cell
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-11-30
- Volume
- 12
- Issue
- 5
- Pages
- 411-425
- ISSN
- 1674-800X (ISSN-L)
- 1674-8018
- OpenAlex
- W3109895489
- Cited by
- 325
- References
- 96
- FWCI
- 10.67
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Targeting the alternative bile acid synthetic pathway for metabolic diseases. https://app.cochat.ai/papers/10.1007/s13238-020-00804-9
- The paper
- Jia, W., Wei, M., Rajani, C., & Zheng, X. (2021). Targeting the alternative bile acid synthetic pathway for metabolic diseases. Protein & Cell. https://doi.org/10.1007/s13238-020-00804-9
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.
