The DOI matches its Crossref record; 699 of the 699 references it cites were found in a registry or an index.
Bile acid metabolism and signaling in health and disease: molecular mechanisms and therapeutic targets
Open accessAbstract
Bile acids, once considered mere dietary surfactants, now emerge as critical modulators of macronutrient (lipid, carbohydrate, protein) metabolism and the systemic pro-inflammatory/anti-inflammatory balance. Bile acid metabolism and signaling pathways play a crucial role in protecting against, or if aberrant, inducing cardiometabolic, inflammatory, and neoplastic conditions, strongly influencing health and disease. No curative treatment exists for any bile acid influenced disease, while the most promising and well-developed bile acid therapeutic was recently rejected by the FDA. Here, we provide a bottom-up approach on bile acids, mechanistically explaining their biochemistry, physiology, and pharmacology at canonical and non-canonical receptors. Using this mechanistic model of bile acids, we explain how abnormal bile acid physiology drives disease pathogenesis, emphasizing how ceramide synthesis may serve as a unifying pathogenic feature for cardiometabolic diseases. We provide an in-depth summary on pre-existing bile acid receptor modulators, explain their shortcomings, and propose solutions for how they may be remedied. Lastly, we rationalize novel targets for further translational drug discovery and provide future perspectives. Rather than dismissing bile acid therapeutics due to recent setbacks, we believe that there is immense clinical potential and a high likelihood for the future success of bile acid therapeutics.
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
Tissue-based map of the human proteome
Uhlén, M., Fagerberg, L., Hallström, B. M., Lindskog, C., Oksvold, P., Mardinoglu, A., Sivertsson, Å., Kampf, C., Sjöstedt, E., Asplund, A., et al. (2015) · Science · doi:10.1126/science.1260419 · Cited by 15,286
Changes of Intestinal Functions in Liver Cirrhosis
Fukui, H., & Wiest, R. (2016) · Inflammatory Intestinal Diseases · doi:10.1159/000444436 · Cited by 6,808
Role of the microbiota in immunity and inflammation.
Belkaid, Y., & Hand, T. W. (2014) · Cell · doi:10.1016/j.cell.2014.03.011 · Cited by 5,385
Yamauchi, T., Kamon, J., Minokoshi, Y., Ito, Y., Waki, H., Uchida, S., Yamashita, S., Noda, M., Kita, S., Ueki, K., et al. (2002) · Nature Medicine · doi:10.1038/nm788 · Cited by 4,238
Wu, Z., Puigserver, P., Andersson, U., Zhang, C., Adelmant, G., Mootha, V., Troy, A., Cinti, S., Lowell, B., Scarpulla, R. C., et al. (1999) · Cell · doi:10.1016/s0092-8674(00)80611-x · Cited by 4,139
A Cold-Inducible Coactivator of Nuclear Receptors Linked to Adaptive Thermogenesis
Puigserver, P., Wu, Z., Park, C. W., Graves, R., Wright, M., & Spiegelman, B. M. (1998) · Cell · doi:10.1016/s0092-8674(00)81410-5 · Cited by 3,864
The Physiology of Glucagon-like Peptide 1
Holst, J. J. (2007) · Physiological Reviews · doi:10.1152/physrev.00034.2006 · Cited by 3,371
Cloning of adiponectin receptors that mediate antidiabetic metabolic effects
Yamauchi, T., Kamon, J., Ito, Y., Tsuchida, A., Yokomizo, T., Kita, S., Sugiyama, T., Miyagishi, M., Hara, K., Tsunoda, M., et al. (2003) · Nature · doi:10.1038/nature01705 · Cited by 3,176
Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases
Lloyd-Price, J., Arze, C., Ananthakrishnan, A. N., Schirmer, M., Avila-Pacheco, J., Poon, T. W., Andrews, E., Ajami, N. J., Bonham, K. S., Brislawn, C. J., et al. (2019) · Nature · doi:10.1038/s41586-019-1237-9 · Cited by 3,143
Intestinal 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
Cited by
Akkız, H., Gieseler, R. K., & Canbay, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25147873 · Cited by 191
Gut microbial metabolites in cancer therapy
Song, P., Peng, Z., & Guo, X. (2025) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2024.06.016 · Cited by 38
Buchynskyi, M., Kamyshna, I., Halabitska, I., Petakh, P., Kunduzova, O., Oksenych, V., & Kamyshnyi, O. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1577724 · Cited by 30
Microbiome−mediated crosstalk between T2DM and MASLD: a translational review focused on function
Jing, M., & Jiang, Y. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1677175 · Cited by 24
Carotenoids Improve Obesity and Fatty Liver Disease via Gut Microbiota: A Narrative Review
Hashemi, D., Fard, M. V., Mohammadhasani, K., Barati, M., & Nattagh‐Eshtivani, E. (2025) · Food Science & Nutrition · doi:10.1002/fsn3.70092 · Cited by 15
“Bile acids (BAs) are a large family of molecules that hepat-ically synthesize cholesterol derivatives (Fleishman and Kumar 2024).”
Metadata
- Authors
- Fleishman, J. S., & Kumar, S.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2024-04-26
- Volume
- 9
- Issue
- 1
- Pages
- 97-97
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W4395445997
- Cited by
- 544
- References
- 699
- FWCI
- 83.49
- 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: Bile acid metabolism and signaling in health and disease: molecular mechanisms and therapeutic targets. https://app.cochat.ai/papers/10.1038/s41392-024-01811-6
- The paper
- Fleishman, J. S., & Kumar, S. (2024). Bile acid metabolism and signaling in health and disease: molecular mechanisms and therapeutic targets. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/s41392-024-01811-6
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.