The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Bile acid is a significant host factor shaping the gut microbiome of diet-induced obese mice
Open accessAbstract
BACKGROUND: Intestinal bacteria are known to regulate bile acid (BA) homeostasis via intestinal biotransformation of BAs and stimulation of the expression of fibroblast growth factor 19 through intestinal nuclear farnesoid X receptor (FXR). On the other hand, BAs directly regulate the gut microbiota with their strong antimicrobial activities. It remains unclear, however, how mammalian BAs cross-talk with gut microbiome and shape microbial composition in a dynamic and interactive way. RESULTS: We quantitatively profiled small molecule metabolites derived from host-microbial co-metabolism in mice, demonstrating that BAs were the most significant factor correlated with microbial alterations among all types of endogenous metabolites. A high-fat diet (HFD) intervention resulted in a rapid and significant increase in the intestinal BA pool within 12 h, followed by an alteration in microbial composition at 24 h, providing supporting evidence that BAs are major dietary factors regulating gut microbiota. Feeding mice with BAs along with a normal diet induced an obese phenotype and obesity-associated gut microbial composition, similar to HFD-fed mice. Inhibition of hepatic BA biosynthesis under HFD conditions attenuated the HFD-induced gut microbiome alterations. Both inhibition of BAs and direct suppression of microbiota improved obese phenotypes. CONCLUSIONS: Our study highlights a liver-BA-gut microbiome metabolic axis that drives significant modifications of BA and microbiota compositions capable of triggering metabolic disorders, suggesting new therapeutic strategies targeting BA metabolism for 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
Figures





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.
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?
The cited source says what the claim attributes to it.
In the citing paper
“In mice fed a high‐fat diet, there is a significant change in the profile of intestinal bile acids, while total BAs, primary BAs, and secondary BAs, including CA, GCA, TDCA, DCA, and LCA, are greatly increased (Zheng et al., 2017).”
From Akkermansia muciniphila alleviates high‐fat‐diet ‐related metabolic‐associated fatty liver disease by modulating gut microbiota and bile acids (2023) · cites this paper as Zheng et al., 2017
The cited source says what the claim attributes to it.
In the citing paper
“The abundance of Bilophila and Blautia immediately increase after 1 day of intervention with a high‐fat diet, which may be related to their ability to tolerate bile salts (Zheng et al., 2017).”
From Akkermansia muciniphila alleviates high‐fat‐diet ‐related metabolic‐associated fatty liver disease by modulating gut microbiota and bile acids (2023) · cites this paper as Zheng et al., 2017
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
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 19,549
Metagenomic biomarker discovery and explanation
Segata, N., Izard, J., Waldron, L., Gevers, D., Miropolsky, L., Garrett, W. S., & Huttenhower, C. (2011) · Genome Biology · doi:10.1186/gb-2011-12-6-r60 · Cited by 16,192
Diet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Cross-talk between Akkermansia muciniphila and intestinal epithelium controls diet-induced obesity
Everard, A., Belzer, C., Geurts, L., Ouwerkerk, J. P., Druart, C., Bindels, L. B., Guiot, Y., Derrien, M., Muccioli, G. G., Delzenne, N. M., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219451110 · Cited by 4,511
Functional interactions between the gut microbiota and host metabolism
Tremaroli, V., & Bäckhed, F. (2012) · Nature · doi:10.1038/nature11552 · Cited by 4,387
The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice
Turnbaugh, P. J., Ridaura, V. K., Faith, J. J., Rey, F. E., Knight, R., & Gordon, J. I. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000322 · Cited by 3,058 · cited 8×
“Bacteroides spp. concentrations were increased at day 2 but were low at 8 weeks.”
InfluentialBile Acids: Natural Ligands for an Orphan Nuclear Receptor
Parks, D. J., Blanchard, S. G., Bledsoe, R. K., Chandra, G., Consler, T. G., Kliewer, S. A., Stimmel, J. B., Willson, T. M., Zavacki, A. M., Moore, D. D., et al. (1999) · Science · doi:10.1126/science.284.5418.1365 · Cited by 2,274
Dao, M. C., Everard, A., Aron-Wisnewsky, J., Sokolovska, N., Prifti, E., Verger, E. O., Kayser, B. D., Levenez, F., Chilloux, J., Hoyles, L., et al. (2016) · Gut · doi:10.1136/gutjnl-2014-308778 · Cited by 1,931
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
Cited by
Sorted by citations
Items 101–200 of 325
Crucial functions of gut microbiota on gut–liver repair
Wang, Y., Yan, H., Zheng, Q., & Sun, X. (2025) · hLife · doi:10.1016/j.hlife.2025.01.001 · Cited by 39
Metaflammation’s Role in Systemic Dysfunction in Obesity: A Comprehensive Review
Crasan, I.-M., Tanase, M., Delia, C., Pîrcălăbioru, G. G., Cîmpean, A., & Ionica, E. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262110445 · Cited by 42
Bacteroides, butyric acid and t10,c12-CLA changes in colorectal adenomatous polyp patients
Chen, C., Niu, M., Pan, J., Du, N., Liu, S., Li, H., He, Q., Mao, J., Duan, Y., & Du, Y. (2021) · Gut Pathogens · doi:10.1186/s13099-020-00395-0 · Cited by 34
Li, C., Zhou, W., Li, M., Shu, X., Zhang, L. R., & Ji, G. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.111587 · Cited by 35
Cheng, J., Jiang, X., Li, J., Zhou, S., Bai, T., Qin, W., Li, H., Luo, Y., Huang, Z., Liu, Y., et al. (2019) · Journal of Functional Foods · doi:10.1016/j.jff.2019.103651 · Cited by 34
Matsui, M., Fukunishi, S., Nakano, T., Ueno, T., Higuchi, K., & Asai, A. (2021) · mBio · doi:10.1128/mbio.01155-21 · Cited by 35
Zhong, H., Wang, J., Abdullah, Hafeez, M. A., Guan, R., & Feng, F. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.754222 · Cited by 32
Jahagirdar, S., & Saccenti, E. (2020) · Metabolites · doi:10.3390/metabo10040171 · Cited by 32
Liver’s influence on the brain through the action of bile acids
Yeo, X. Y., Tan, L. Y., Chae, W. R., Lee, D., Lee, Y., Wüestefeld, T., & Jung, S. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1123967 · Cited by 35
Bacterial microcompartments and energy metabolism drive gut colonization by Bilophila wadsworthia
Sayavedra, L., Yasir, M., Goldson, A. J., Brion, A., Gall, G. L., Moreno‐Gonzalez, M., Altera, A., Paxhia, M. D., Warren, M. J., Savva, G. M., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-60180-y · Cited by 33
So, S. Y., Wu, Q., Leung, K. S., Kundi, Z. M., Savidge, T., & El-Nezami, H. S. (2021) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00226.2021 · Cited by 31
Li, X., Suo, J., Huang, X., Dai, H.-F., Bian, H., Zhu, M., Lin, W., & Han, N. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.761727 · Cited by 37
Jin, C., Zhou, T., Duan, Z., Deng, Y., Zhang, X., Changyi, X., He, G., He, G., Zhou, Y. H., & Li, S. (2023) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2023.116950 · Cited by 29
Danggui Buxue Tang Restores Antibiotic-Induced Metabolic Disorders by Remodeling the Gut Microbiota
Du, R., Bei, H., Jia, L., Huang, C., Chen, Q., Tao, C., Chen, J., & Bo, H. (2019) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2020.112953 · Cited by 30
Chen, Q., Zhao, L., Mei, L., Zhao, X., Han, P., Liu, J., Meng, C., Li, R., Zhong, R., Wang, K., et al. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1163694 · Cited by 29
Li, X.-M., Yuan, Q., Huang, H., & Wang, L. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1695321 · Cited by 35
Robert, C., Buisson, C., Laugerette, F., Abrous, H., Rainteau, D. P., Humbert, L., van de Weghe, J., Meugnier, E., Loizon, E., Caillet, F., et al. (2021) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202001068 · Cited by 29
Xu, J., Huang, D., Xu, X., Wu, X., Liu, L., Niu, W., Lu, L., & Zhou, H. J. (2021) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2021.09.061 · Cited by 27
Yang, T., Shen, Y., Zhao, J., Wang, P., Li, S., Jin, Y., Liu, Z., Zhang, X., Zhang, Y., Zhao, Y. M., et al. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.914247 · Cited by 28
Self-citationWang, C., Yang, Y., Chen, J., Dai, X., Xing, C., Zhang, C., Cao, H., Guo, X., Hu, G., & Zhuang, Y. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242417304 · Cited by 27
Jiang, S., & Miao, Z. (2023) · PubMed Central · Cited by 29
Jadhav, A., Bajaj, A., Yang, X. J., Markandey, M., Ahuja, V., & Kashyap, P. (2023) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-061121-094908 · Cited by 29
Zhan, M., Cai, Y., Zhao, C., Chen, B., Wang, X., Shen, P., Han, Y., Song, M., Cao, Y., & Xiao, H. (2025) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.5c04523 · Cited by 29
Nuclear receptors: a bridge linking the gut microbiome and the host
Wang, Z., Chen, W., & Wang, Y. (2021) · Molecular Medicine · doi:10.1186/s10020-021-00407-y · Cited by 29
Qin, X., Liu, B., Gao, F., Hu, Y., Chen, Z., Xu, J., & Zhang, X. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.856699 · Cited by 26
Zhang, Z., Shi, X., Ji, J., Guo, Y., Peng, Q., Hao, L., Xue, Y., Liu, Y.-W., Li, C., Lu, J., et al. (2023) · Frontiers of Medicine · doi:10.1007/s11684-022-0978-2 · Cited by 28
SAÚDE PÚBLICA: EPIDEMIOLOGIA, CLÍNICA E ESTRATÉGIAS DE TRATAMENTO
Oliveira, C. P. D. C., da Silva, A. A., Filho, P. S. D. P. S., & Mota, L. P. (2023) · Paulo Sérgio da Paz Silva Filho eBooks · doi:10.56161/sci.ed.20230128 · Cited by 24
Sun, Y., Men, Q., Ren, X., Yan, C., Song, S., & Ai, C. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.136930 · Cited by 25
Bosák, J., Lexa, M., Fiedorová, K., Gadara, D. C., Micenková, L., Spáčil, Z., Litzman, J., Freiberger, T., & Šmajs, D. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.671239 · Cited by 24
Zhang, M., Xiao, B., Chen, X., Ou, B., & Wang, S. (2023) · Acta Physiologica · doi:10.1111/apha.14065 · Cited by 28
Pascual‐Itoiz, M. Á., Peña‐Cearra, A., Martín‐Ruiz, I., Lavín, J. L., Simó, C., Rodrı́guez, H., Atondo, E., Flores, J. M., Carreras‐González, A., Tomás‐Cortázar, J., et al. (2020) · Scientific Reports · doi:10.1038/s41598-019-57348-0 · Cited by 24
Zeng, Z., Zhou, Y., Xu, Y., Wang, S., Wang, B., Zeng, Z., Wang, Q., Ye, X., Lu, J., Yue, M., et al. (2022) · Food & Function · doi:10.1039/d1fo03170h · Cited by 24
Dietary Modulation of the Human Gut Microbiota and Metabolome with Flaxseed Preparations
Kleigrewe, K., Haack, M., Baudin, M., Ménabréaz, T., Crovadore, J., Masri, M. A., Beyrer, M., Andlauer, W., Lefort, F., Dawid, C., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231810473 · Cited by 24
Xiao, F., Gao, X., Hu, H., Le, J., Chen, Y., Shu, X., Liang, Z., Xu, Y., Wang, Y., & Zhang, T. (2022) · Nutrients · doi:10.3390/nu14214463 · Cited by 25
Latteri, S., Sofia, M., Puleo, S., Vincenzo, A. D., Cinti, S., & Castorina, S. (2023) · Langenbeck s Archives of Surgery · doi:10.1007/s00423-023-02821-8 · Cited by 25
Xin, Z., Xin, C., Huo, J., Liu, Q., Dong, H., Li, R., & Liu, Y. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-03988-x · Cited by 26
Liaqat, I., Ali, N. M., Arshad, N., Sajjad, S., Rashid, F., Hanif, U., Ara, C., Ulfat, M., Andleeb, S., Awan, M. U. F., et al. (2021) · Brazilian Journal of Biology · doi:10.1590/1519-6984.242818 · Cited by 26
Guo, H., Wu, H., Kong, X., Zhang, N., Li, H., Dong, X., & Li, Z. (2022) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2022.109251 · Cited by 23
Xue, Y., Wei, Y., Cao, L., Shi, M., Sheng, J., Xiao, Q., Cheng, Z., Luo, T., Jiao, Q., Wu, A., et al. (2023) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2023.116933 · Cited by 22
Iwamoto, J., Honda, A., Miyazaki, T., Monma, T., Ueda, H., Morishita, Y., Yara, S., Hirayama, T. T., & Ikegami, T. (2021) · Hepatology Communications · doi:10.1002/hep4.1778 · Cited by 22
Xu, J., He, G., Chen, L., Xie, S., Chi, S., Zhang, S., Cao, J., & Tan, B. (2021) · Aquaculture Reports · doi:10.1016/j.aqrep.2021.100997 · Cited by 23
Bile Acids—A Peek Into Their History and Signaling
Nguyen, J. T., Shaw, R. P. H., & Anakk, S. (2022) · Endocrinology · doi:10.1210/endocr/bqac155 · Cited by 22
Wei, R., Ross, A. B., Su, M., Wang, J., Guiraud, S., Draper, C. F., Beaumont, M., Jia, W. P., & Martin, F. (2018) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201800583 · Cited by 26
Self-citationHosomi, R., Matsudo, A., Sugimoto, K., Shimono, T., Kanda, S., Nishiyama, T., Yoshida, M., & Fukunaga, K. (2019) · Journal of Oleo Science · doi:10.5650/jos.ess19183 · Cited by 22
Zhu, L., Fang, S., Liu, W., Zhang, H., Zhang, Y., Xie, Z., Yang, P., Wan, J., Gao, B., & Yu, L. L. (2023) · Food & Function · doi:10.1039/d2fo01800d · Cited by 21
Self-citationLv, W., Song, J., Raka, R. N., Sun, J., Shi, G., Wu, H., Xiao, J., & Xu, D. (2023) · Food Research International · doi:10.1016/j.foodres.2023.113302 · Cited by 21
Fatty liver and alteration of the gut microbiome induced by diallyl disulfide
Yang, Y., Yang, F., Huang, M., Wu, H., Yang, C., Zhang, X., Yang, L., Chen, G., Li, S., Wang, Q., et al. (2019) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2019.4350 · Cited by 21
Liang, L., Zhou, J., Xu, F., Liu, P., Qin, L. F., Liu, L., & Liu, X. (2020) · Acta Pharmacologica Sinica · doi:10.1038/s41401-020-0408-4 · Cited by 21
Flynn, S., Reen, F. J., Caparros-Martin, J. A., Woods, D. F., Peplies, J., Ranganathan, S., Stick, S. M., & O’Gara, F. (2020) · Microorganisms · doi:10.3390/microorganisms8111741 · Cited by 22
Wang, L., Zheng, W., Sun, Y., Ren, X., Yan, C., Song, S., & Ai, C. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.135309 · Cited by 21
Duan, M., Han, Z., Huang, T., Yang, Y., & Huang, B. (2020) · Letters in Applied Microbiology · doi:10.1111/lam.13382 · Cited by 19
Naya-Català, F., Wiggers, G. A., Piazzon, M. C., López-Martínez, M. I., Estensoro, I., Calduch-Giner, J. À., Martínez‐Cuesta, M. C., Requena, T., Sitjà‐Bobadilla, A., Miguel, M., et al. (2021) · Frontiers in Marine Science · doi:10.3389/fmars.2021.698484 · Cited by 19
Marzano, M., Fosso, B., Colliva, C., Notario, E., Passeri, D., Intranuovo, M., Gioiello, A., Adorini, L., Pesole, G., Pellicciari, R., et al. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.113380 · Cited by 21
Xu, J., Wang, F., Hu, C., Lai, J., Xie, S., Yu, K., & Jiang, F. (2024) · Animal nutrition · doi:10.1016/j.aninu.2024.08.005 · Cited by 19
Xiao, M., Huang, M., Huan, W., Dong, J., Xiao, J., Wu, J., Wang, D., & Song, L. (2022) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2022/4472751 · Cited by 19
RetractedXu, F., Wu, Q., Yang, Y., Zhang, L., Yan, Z., Li, H., Li, J., An, Z., Wu, H., Song, J., et al. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.166795 · Cited by 21
Zhu, L., Fang, S., Zhang, H., Sun, X., Yang, P., Wan, J., Zhang, Y., Lu, W., & Yu, L. L. (2023) · Nutrients · doi:10.3390/nu15234929 · Cited by 19
Self-citationZhang, S., Liu, R., Ma, Y., Ma, Y., Feng, H., Ding, X., Zhang, Q., Li, Y., Shan, J., Bian, H., et al. (2024) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.3c08232 · Cited by 23
Sheng, Z., Yu, L., Li, X., Zhao, Y., Dai, W., Chang, S. K., & Liu, J. (2021) · Journal of Functional Foods · doi:10.1016/j.jff.2021.104670 · Cited by 19
Evaluation of Single Sample Network Inference Methods for Metabolomics-Based Systems Medicine
Jahagirdar, S., & Saccenti, E. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00696 · Cited by 17
Xian, W., Yao, T., Fall, F. N., Liang, X., Jie, W., Wenlong, D., Xu, G., & Min, X. (2021) · Foods · doi:10.3390/foods10102465 · Cited by 18
Han, Y., Guo, X., Du, H., Guo, Y., Ding, Q., Li, F., Meng, Y., & Xiao, H. (2025) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2025.105075 · Cited by 20
Xiong, F., Chen, S., Jakovlić, I., Li, W., Li, M., Zou, H., Wang, G., & Wu, S. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.824611 · Cited by 17
Cao, Y., Shu, X., Li, M., Yu, S., Li, C., Ji, G., & Zhang, L. R. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.112825 · Cited by 17
Li, G., Wang, X., Liu, Y., Gong, S., Yang, Y., Wang, C., Wang, H., & He, D. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1185218 · Cited by 17
Unveiling the gut-liver axis: the behind-the-scenes “manipulator” of human immune function
Li, P., Wang, Y., Dong, Y., & Zhang, X. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1638197 · Cited by 21
Zheng, Z., Wei, J., Hou, X., Jia, F., Zhang, Z., Guo, H., Yuan, F., He, F., Ke, Z., Wang, Y., et al. (2022) · Cells · doi:10.3390/cells11233810 · Cited by 17
Natural products against inflammation and atherosclerosis: Targeting on gut microbiota
Deng, B., Tao, L., & Wang, Y. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.997056 · Cited by 17
Yang, C., Xu, Z., Huang, Q., Wang, X., Huang, F., & Deng, Q. (2023) · Food Science and Human Wellness · doi:10.1016/j.fshw.2023.03.036 · Cited by 16
Self-citationZhai, T., Wang, J., & Chen, Y. (2023) · Scientific Reports · doi:10.1038/s41598-023-42358-w · Cited by 18
Lei, S., Liu, G., Wang, S., Zong, G., Zhang, X., Pan, L., & Han, J. (2024) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202400451 · Cited by 16
Self-citationDeng, D., Lin, X., Liu, Y., Li, C., Jiang, Q., Shi, J., Feng, S., & Lin, Y. (2025) · Lipids in Health and Disease · doi:10.1186/s12944-025-02565-y · Cited by 15
Role of gut/liver metabolites and gut microbiota in liver fibrosis caused by cholestasis
Xie, X., Feng, S. Y., Liu, T., Feng, J., Xu, Y., Fan, Z.-J., & Wang, G. (2024) · International Immunopharmacology · doi:10.1016/j.intimp.2024.112747 · Cited by 15
Ren, X., Lu, X., Wang, F., Xu, J., Tan, Y., & Feng, A. (2024) · Aquaculture · doi:10.1016/j.aquaculture.2024.741679 · Cited by 17
Wang, C., Wang, Y., Yang, H., Tian, Z., Zhu, M., Sha, X., Ran, J., & Li, L. (2022) · BMC Endocrine Disorders · doi:10.1186/s12902-022-01155-8 · Cited by 15
Duodenal bile acids as determinants of intestinal mucosal homeostasis and disease
Keely, S., & Talley, N. J. (2020) · Neurogastroenterology & Motility · doi:10.1111/nmo.13854 · Cited by 15
Song, L., Cui, J., Hu, S., Wang, R., Li, H., & Sun, B. (2022) · Nutrients · doi:10.3390/nu14173612 · Cited by 14
The relationship between gut microbiota and neonatal pathologic jaundice: A pilot case-control study
You, J. J., Qiu, J., Li, G. N., Peng, X. M., Ma, Y., Zhou, C., Fang, S., Huang, R., & Xiao, Z. H. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1122172 · Cited by 14
Statistical Data Analysis of Microbiomes and Metabolomics
Xia, Y., & Sun, J. (2021) · ACS in focus · doi:10.1021/acsinfocus.7e5035 · Cited by 15
The molecular insights of bile acid homeostasis in host diseases
Zhang, J., Lü, A., & Wang, C. (2023) · Life Sciences · doi:10.1016/j.lfs.2023.121919 · Cited by 15
Refined diet consumption increases neuroinflammatory signalling through bile acid dysmetabolism
Connell, E., Blokker, B., Kellingray, L., Gall, G. L., Philo, M. R., Pontifex, M. G., Narbad, A., Müller, M. M., & Vauzour, D. (2024) · Nutritional Neuroscience · doi:10.1080/1028415x.2023.2301165 · Cited by 15
Xue, H., Fang, S., Zheng, M., Wu, J., Li, H., Zhang, M., Li, Y., Wang, T., Shi, R., & Ma, Y. (2020) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2020.113706 · Cited by 15
Yang, L., Li, Y., Wang, S., Bian, X., Jiang, X., Wu, J., Wang, K., Wang, Q., Xia, J., Jiang, S., et al. (2021) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202000811 · Cited by 14
Sarmiento, J., Pulgar, R., Mandaković, D., Porras, O. H., Flores, C. A., Luco, D., Trujillo, C., Díaz-Esquivel, B., Alvarez, C., Acevedo, A., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031673 · Cited by 14
Li, X., Ren, Y., Huang, G., Zhang, R., Zhang, Y., Zhu, W., & Yu, K. (2022) · Food & Function · doi:10.1039/d2fo01958b · Cited by 13
Self-citationPan, J., Chui, L., Liu, T., Zheng, Q., Liu, X., Liu, L., Zhao, Y., Zhang, L., Song, M., Han, J., et al. (2023) · Microbiology Spectrum · doi:10.1128/spectrum.03540-22 · Cited by 13
The association of gut microbiome with recurrent pregnancy loss: A comprehensive review
Zhu, J., Jin, J., Qi, Q., Li, L., Zhou, J., Cao, L., & Wang, L. (2023) · Drug Discoveries & Therapeutics · doi:10.5582/ddt.2023.01010 · Cited by 15
Emerging applications of single-cell profiling in precision medicine of atherosclerosis
Lin, H., Zhang, M., Hu, M., Zhang, Y., Jiang, W., Tang, W., Ouyang, Y., Jiang, L., Mi, Y., Chen, Z., et al. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-023-04629-y · Cited by 13
Self-citationBurkhardt, W., Rausch, T., Klopfleisch, R., Blaut, M., & Braune, A. (2021) · International Journal of Medical Microbiology · doi:10.1016/j.ijmm.2021.151494 · Cited by 13
Wu, Z., Xu, Q., Gu, S., Wang, Q., Chen, Y., Lv, L., Zheng, B., Wang, K., Wang, S., Xia, J., et al. (2022) · Food & Function · doi:10.1039/d2fo00374k · Cited by 13
Wang, X., Zhang, Z., Wang, X., Bao, Q., Wang, R., & Duan, Z. (2021) · Biology · doi:10.3390/biology10080769 · Cited by 12
Liang, J., Zhang, M., Wang, H., Ren, Y., Wu, Q., Huang, R., Xie, J., Yin, J., & Zhu, J. (2022) · Experimental Neurology · doi:10.1016/j.expneurol.2022.114234 · Cited by 12
Zhen, Y., Chen, Y., Ge, L., Wei, W., Wang, Y., Hu, L., Loor, J. J., Wang, M., & Yin, J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23116008 · Cited by 12
Human matters in asthma: Considering the microbiome in pulmonary health
Marathe, S. J., Snider, M. A., Flores-Torres, A. S., Dubin, P. J., & Samarasinghe, A. E. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.1020133 · Cited by 14
Strategy for Intercorrelation Identification between Metabolome and Microbiome
Liang, D., Li, M., Wei, R., Wang, J., Li, Y., Jia, W. P., & Chen, T. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.9b02948 · Cited by 12
Self-citationRobert, C., Penhoat, A., Couëdelo, L., Monnoye, M., Rainteau, D. P., Meugnier, E., Bary, S., Abrous, H., Loizon, E., Krasniqi, P., et al. (2023) · Journal of Functional Foods · doi:10.1016/j.jff.2023.105540 · Cited by 11
Zhang, L., Jing-bo, F., Zhang, X.-W., Liu, Y., Shi, W., Hidayat, K., Xu, J., Yuan, L., & Qin, L. (2023) · Journal of Functional Foods · doi:10.1016/j.jff.2023.105596 · Cited by 11
Zhang, C., Gui, W., Yin, X., Gou, L., Guo, M., Suo, F., Zhuang, T., Yuan, Z., Liu, Y., Gu, M., et al. (2024) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2024.100976 · Cited by 11
Chen, K., Dang, D., Li, H., Ross, R. P., Stanton, C., Chen, W., & Yang, B. K. (2024) · Microbiome Research Reports · doi:10.20517/mrr.2024.38 · Cited by 13
Jakubowicz, D. J., Matz, Y., Landau, Z., Rosenblum, R. C., Twito, O., Wainstein, J., & Tsameret, S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252212355 · Cited by 12
Metadata
- Authors
- Zheng, X., Huang, F., Zhao, A., Lei, S., Zhang, Y., Xie, G., Chen, T., Qu, C., Rajani, C., Dong, B., Li, D., & Jia, W.
- Affiliations
- Shanghai Jiao Tong University (CN)
- University of Hawaii Cancer Center (US)
- China Agricultural University (CN)
- Corresponding author
- Jia, Wei
- ORCID
- Venue
- BMC Biology
- Published
- 2017-12
- Volume
- 15
- Issue
- 1
- Pages
- 120-120
- ISSN
- 1741-7007 (ISSN-L)
- PMC
- PMC5731064
- OpenAlex
- W2774287749
- Cited by
- 323
- References
- 40
- Citations by year
- 2026: 18 · 2025: 36 · 2024: 40 · 2023: 61 · 2022: 44 · 2021: 47 · 2020: 36 · 2019: 29 · 2018: 12
- FWCI
- 8.83
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (31500954)
- Science and Technology Committee of Shanghai Municipality Government (15YF1409100)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Health Sciences › Medicine › Pharmacology (medical) › Berberine and alkaloids research
- Keywords
- bile acids, gut microbiota, diet-induced obesity, high-fat diet, bile acid synthesis, FGF19, farnesoid X receptor, small molecule metabolites, metabolic disorders
- MeSH terms
- Gastrointestinal Microbiome, Receptor, Farnesoid X-Activated, Animals, Bile Acids and Salts, Isoxazoles, Male, Mice, Inbred C57BL, Mice, Obese, Signal Transduction, Receptors, Cytoplasmic and Nuclear, Mice, Diet, High-Fat
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