Novel bile acid biosynthetic pathways are enriched in the microbiome of centenarians
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Abstract
Centenarians have a decreased susceptibility to ageing-associated illnesses, chronic inflammation and infectious diseases 1-3. Here we show that centenarians have a distinct gut microbiome that is enriched in microorganisms that are capable of generating unique secondary bile acids, including various isoforms of lithocholic acid (LCA): iso-, 3-oxo-, allo-, 3-oxoallo- and isoallolithocholic acid. Among these bile acids, the biosynthetic pathway for isoalloLCA had not been described previously. By screening 68 bacterial isolates from the faecal microbiota of a centenarian, we identified Odoribacteraceae strains as effective producers of isoalloLCA both in vitro and in vivo. Furthermore, we found that the enzymes 5α-reductase (5AR) and 3β-hydroxysteroid dehydrogenase (3β-HSDH) were responsible for the production of isoalloLCA. IsoalloLCA exerted potent antimicrobial effects against Gram-positive (but not Gram-negative) multidrug-resistant pathogens, including Clostridioides difficile and Enterococcus faecium. These findings suggest that the metabolism of specific bile acids may be involved in reducing the risk of infection with pathobionts, thereby potentially contributing to the maintenance of intestinal homeostasis.
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The Odoribacter genus is strongly associated with bile acids and short-chain fatty acids.
“This certain bacterial genus was strongly associated with the bile acids (BAs) and short-chain fatty acids (SCFAs) (Chen et al. 2025; Sato et al. 2021).”
From Odoribacter laneus protects intestinal barrier by bile acid-FXR axis in acute pancreatitis (2026) · cites this paper as Sato et al. 2021
In “Effects of isoalloLCA on the commensal gut microbiota” (page not provided), the paper reports positive correlations between Odoribacter laneus and three bile acids. It does not report an association between Odoribacter and short-chain fatty acids, so only the bile-acid part is supported. (LLM, conf=0.88)
Experimental — accuracy not yet measuredGenomes of Odoribacter contain the essential enzymes 5AR and 3β-HSDH required for secondary bile acid synthesis.
“The genomes of Odoribacter contain the essential enzymes (5AR and 3β-HSDH) required for secondary bile acid (SBA) synthesis (Sato et al. 2021).”
From Odoribacter laneus protects intestinal barrier by bile acid-FXR axis in acute pancreatitis (2026) · cites this paper as Sato et al. 2021
In “5AR- and 3β-HSDH-mediated transformation of 3-oxoΔ4-LCA to isoalloLCA” (page not given), the paper identifies an Odoribacteraceae St21 isolate carrying genes for 5AR and 3β-HSDH and links them to isoalloLCA production. It does not establish that Odoribacter genomes generally carry these genes or that the enzymes are required for secondary bile acid synthesis broadly. (LLM, conf=0.86)
Experimental — accuracy not yet measuredCertain secondary bile acids serve significant biological functions, including regulation of host metabolism, immunity, and resistance against intestinal pathogen expansion.
“Nevertheless, it is noteworthy that certain secondary BAs serve significant biological functions, including the regulation of host metabolism, immunity, and resistance against intestinal pathogen expansion.21,360–364”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [21]
Specific secondary bile acids produced by Alistipes putredinis and Odoribacter splanchnicus are more prevalent in centenarians and contribute to intestinal homeostasis.
“specific secondary bile acids (including isoallolithocholic acid) produced by distinct gut species (such as Alistipes putredinis and Odoribacter splanchnicus) are more prevalent in centenarian individuals and reportedly contribute to intestinal homeostasis22.”
From Gut OncoMicrobiome Signatures (GOMS) as next-generation biomarkers for cancer immunotherapy (2023) · cites this paper as [22]
The gut microbiota of centenarians is enriched in bacteria capable of generating unique secondary bile acids with potent effects against pathogens such as Clostridioides difficile and Enterococcus faecium.
“The gut microbiota of centenarians is also enriched in bacteria capable of generating unique secondary bile acids with potent effects against pathogens such as Clostridioides difficile and Enterococcus faecium.”
From Meta-hallmarks of aging and cancer (2023) · cites this paper as [92]
Previous research highlighted the involvement of R. gnavus in bile acid metabolism, particularly the production of iso-bile acids, which were elevated in Japanese centenarians.
“Previous research also highlighted the involvement of R. gnavus in bile acid metabolism, 44 particularly the production of iso-bile acids, which were elevated in Japanese centenarians. 45”
From Global genetic diversity of human gut microbiome species is related to geographic location and host health (2025) · cites this paper as [45]
Studies in the past decade have demonstrated that gut microbiome composition changes with age, that exceptionally long-lived individuals have a different microbiome composition from average older adults, and that certain microorganisms and the metabolites they produce are beneficial to human health.
“Studies in the past decade have demonstrated that gut microbiome composition changes with age, that exceptionally long-lived individuals have a different microbiome composition from average older adults131–133, and that certain microorganisms131,134,135 and the metabolites they produce132,134,136 are beneficial to human health.”
From Measuring biological age using omics data (2022) · cites this paper as [136]
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Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607 · see citing works
Prokka: rapid prokaryotic genome annotation
Seemann, T. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu153 · Cited by 18,512 · see citing works
Prodigal: prokaryotic gene recognition and translation initiation site identification
Hyatt, D., Chen, G.-L., LoCascio, P. F., Land, M., Larimer, F. W., & Hauser, L. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-119 · Cited by 12,426 · see citing works
The RAST Server: Rapid Annotations using Subsystems Technology
Aziz, R. K., Bartels, D., Best, A. A., DeJongh, M., Disz, T. L., Edwards, R. A., Formsma, K., Gerdes, S., Glass, E. M., Kubal, M., et al. (2008) · BMC Genomics · doi:10.1186/1471-2164-9-75 · Cited by 11,777 · see citing works
A 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 · see citing works
Self-citationCd-hit: Accelerated for clustering the next-generation sequencing data
Fu, L., Niu, B., Zhu, Z., Wu, S., & Li, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts565 · Cited by 11,175 · see citing works
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 · see citing works
Self-citationLi, D., Liu, C.-M., Luo, R., Sadakane, K., & Lam, T. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv033 · Cited by 9,781 · see citing works
Inflammaging: a new immune–metabolic viewpoint for age-related diseases
Franceschi, C., Garagnani, P., Parini, P., Giuliani, C., & Santoro, A. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0059-4 · Cited by 3,586 · see citing works
Gut microbiota composition correlates with diet and health in the elderly
Claesson, M. J., Jeffery, I. B., Conde, S., Power, S. E., O’Connor, E. M., Cusack, S., Harris, H. M. B., Coakley, M., Lakshminarayanan, B., O’Sullivan, O., et al. (2012) · Nature · doi:10.1038/nature11319 · Cited by 3,314 · see citing works
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 · see citing works
Self-citationTreg induction by a rationally selected mixture of Clostridia strains from the human microbiota
Atarashi, K., Tanoue, T., Oshima, K., Suda, W., Nagano, Y., Nishikawa, H., Fukuda, S., Saito, T., Narushima, S., Hase, K., et al. (2013) · Nature · doi:10.1038/nature12331 · Cited by 2,872 · see citing works
Self-citationAn integrated catalog of reference genes in the human gut microbiome
MetaHIT Consortium, Li, J., Jia, H., Cai, X., Zhong, H., Feng, Q., Sunagawa, S., Arumugam, M., Kultima, J. R., Prifti, E., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2942 · Cited by 2,164 · see citing works
Precision microbiome reconstitution restores bile acid mediated resistance to Clostridium difficile
Buffie, C. G., Bucci, V., Stein, R. R., McKenney, P. T., Ling, L., Gobourne, A., No, D., Liu, H., Kinnebrew, M., Viale, A., et al. (2015) · Nature · doi:10.1038/nature13828 · Cited by 1,872 · see citing works
The interaction between bacteria and bile
Begley, M., Gahan, C. G. M., & Hill, C. (2004) · FEMS Microbiology Reviews · doi:10.1016/j.femsre.2004.09.003 · Cited by 1,793 · see citing works
Composition, variability, and temporal stability of the intestinal microbiota of the elderly
Claesson, M. J., Cusack, S., O'Sullivan, O., Greene-Diniz, R., de Weerd, H., Flannery, E., Marchesi, J. R., Falush, D., Dinan, T., Fitzgerald, G., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000097107 · Cited by 1,754 · see citing works
Bile acid metabolites control TH17 and Treg cell differentiation
Hang, S., Paik, D., Yao, L., Kim, E., Trinath, J., Lu, J., Ha, S., Nelson, B. N., Kelly, S. P., Wu, L., et al. (2019) · Nature · doi:10.1038/s41586-019-1785-z · Cited by 1,457 · see citing works
Self-citationConsequences of bile salt biotransformations by intestinal bacteria
Ridlon, J. M., Harris, S. C., Bhowmik, S., Kang, D.-J., & Hylemon, P. B. (2016) · Gut Microbes · doi:10.1080/19490976.2015.1127483 · Cited by 1,097 · see citing works
Gut Microbiota and Extreme Longevity
Biagi, E., Franceschi, C., Rampelli, S., Severgnini, M., Ostan, R., Turroni, S., Consolandi, C., Quercia, S., Scurti, M., Monti, D., et al. (2016) · Current Biology · doi:10.1016/j.cub.2016.04.016 · Cited by 1,025 · see citing works
Microbial bile acid metabolites modulate gut RORγ+ regulatory T cell homeostasis
Song, X., Sun, X., Oh, S. F., Wu, M., Zhang, Y., Zheng, W., Geva-Zatorsky, N., Jupp, R., Mathis, D., Benoist, C., et al. (2020) · Nature · doi:10.1038/s41586-019-1865-0 · Cited by 1,024 · see citing works
Theriot, C. M., Koenigsknecht, M. J., Carlson, P. E., Hatton, G. E., Nelson, A. M., Li, B., Huffnagle, G. B., Z. Li, J., & Young, V. B. (2014) · Nature Communications · doi:10.1038/ncomms4114 · Cited by 974 · see citing works
Atarashi, K., Suda, W., Luo, C., Kawaguchi, T., Motoo, I., Narushima, S., Kiguchi, Y., Yasuma, K., Watanabe, E., Tanoue, T., et al. (2017) · Science · doi:10.1126/science.aan4526 · Cited by 957 · see citing works
Self-citationDuncan, S. H., Belenguer, A., Holtrop, G., Johnstone, A. M., Flint, H. J., & Lobley, G. E. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.02340-06 · Cited by 941 · see citing works
Bacterial metabolism of bile acids promotes generation of peripheral regulatory T cells
Campbell, C., McKenney, P. T., Konstantinovsky, D., Isaeva, O. I., Schizas, M., Verter, J., Mai, C., Jin, W.-B., Guo, C.-J., Violante, S., et al. (2020) · Nature · doi:10.1038/s41586-020-2193-0 · Cited by 901 · see citing works
Dirichlet Multinomial Mixtures: Generative Models for Microbial Metagenomics
Holmes, I. H., Harris, K. J., & Quince, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030126 · Cited by 834 · see citing works
PhyloPhlAn is a new method for improved phylogenetic and taxonomic placement of microbes
Segata, N., Börnigen, D., Morgan, X. C., & Huttenhower, C. (2013) · Nature Communications · doi:10.1038/ncomms3304 · Cited by 829 · see citing works
Healthspan and lifespan extension by fecal microbiota transplantation into progeroid mice
Bárcena, C., Valdés-Mas, R., Mayoral, P., Garabaya, C., Durand, S., Rodríguez, F., Fernández-García, M. T., Salazar, N., Nogacka, A. M., Garatachea, N., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0504-5 · Cited by 661 · see citing works
Pathogen elimination by probiotic Bacillus via signalling interference
Piewngam, P., Zheng, Y., Nguyen, T. D., Dickey, S. W., Joo, H., Villaruz, A. E., Glose, K. A., Fisher, E. L., Hunt, R. L., Li, B., et al. (2018) · Nature · doi:10.1038/s41586-018-0616-y · Cited by 650 · see citing works
A metabolic pathway for bile acid dehydroxylation by the gut microbiome
Funabashi, M., Grove, T. L., Wang, M., Varma, Y., McFadden, M. E., Brown, L. C., Guo, C., Higginbottom, S., Almo, S. C., & Fischbach, M. A. (2020) · Nature · doi:10.1038/s41586-020-2396-4 · Cited by 590 · see citing works
Self-citationGlobal chemical effects of the microbiome include new bile-acid conjugations
Quinn, R. A., Melnik, A. V., Vrbanac, A., Fu, T., Patras, K. A., Christy, M. P., Bodai, Z., Belda-Ferre, P., Tripathi, A., Chung, L. K., et al. (2020) · Nature · doi:10.1038/s41586-020-2047-9 · Cited by 579 · see citing works
Self-citationA biosynthetic pathway for a prominent class of microbiota-derived bile acids
Devlin, A. S., & Fischbach, M. A. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1864 · Cited by 448 · see citing works
Self-citationFerrières, L., Hémery, G., Nham, T., Guérout, A.-M., Mazel, D., Beloin, C., & Ghigo, J. (2010) · Journal of Bacteriology · doi:10.1128/jb.00621-10 · Cited by 341 · see citing works
Arai, Y., Martin-Ruiz, C. M., Takayama, M., Abe, Y., Takebayashi, T., Koyasu, S., Suematsu, M., Hirose, N., & von Zglinicki, T. (2015) · EBioMedicine · doi:10.1016/j.ebiom.2015.07.029 · Cited by 333 · see citing works
Self-citationA bacterial bile acid metabolite modulates Treg activity through the nuclear hormone receptor NR4A1
Li, W., Hang, S., Fang, Y., Bae, S., Zhang, Y., Zhang, M., Wang, G., McCurry, M. D., Bae, M., Paik, D., et al. (2021) · Cell Host & Microbe · doi:10.1016/j.chom.2021.07.013 · Cited by 306 · see citing works
Thanissery, R., Winston, J. A., & Theriot, C. M. (2017) · Anaerobe · doi:10.1016/j.anaerobe.2017.03.004 · Cited by 242 · see citing works
Regulation of bile acid metabolism in mouse models with hydrophobic bile acid composition
Honda, A., Miyazaki, T., Iwamoto, J., Hirayama, T. T., Morishita, Y., Monma, T., Ueda, H., Mizuno, S., Sugiyama, F., Takahashi, S., et al. (2019) · Journal of Lipid Research · doi:10.1194/jlr.ra119000395 · Cited by 212 · see citing works
Self-citationWu, L. H., Zeng, T., Zinellu, A., Rubino, S., Kelvin, D. J., & Carru, C. (2019) · mSystems · doi:10.1128/msystems.00325-19 · Cited by 198 · see citing works
McDonald, J. A. K., Schroeter, K., Fuentes, S., Jong, I. H., Khursigara, C. M., de Vos, W. M., & Allen‐Vercoe, E. (2013) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2013.08.008 · Cited by 178 · see citing works
García-Bayona, L., & Comstock, L. E. (2019) · mBio · doi:10.1128/mbio.01762-19 · Cited by 174 · see citing works
Interpersonal Gut Microbiome Variation Drives Susceptibility and Resistance to Cholera Infection
Alavi, S., Mitchell, J., Cho, J. Y., Liu, R., Macbeth, J. C., & Hsiao, A. (2020) · Cell · doi:10.1016/j.cell.2020.05.036 · Cited by 174 · see citing works
Rampelli, S., Soverini, M., D’Amico, F., Barone, M., Tavella, T., Monti, D., Capri, M., Astolfi, A., Brigidi, P., Biagi, E., et al. (2020) · mSystems · doi:10.1128/msystems.00124-20 · Cited by 161 · see citing works
Hirata, T., Arai, Y., Yuasa, S., Abe, Y., Takayama, M., Sasaki, T., Kunitomi, A., Inagaki, H., Endo, M., Morinaga, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17636-0 · Cited by 138 · see citing works
Self-citationMSPminer: abundance-based reconstitution of microbial pan-genomes from shotgun metagenomic data
Oñate, F. P., Chatelier, E. L., Almeida, M., Cervino, A., Gauthier, F., Magoulès, F., Ehrlich, S. D., & Pichaud, M. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty830 · Cited by 131 · see citing works
A Versatile Medium for Cultivating Methanogenic Archaea
Khelaifia, S., Raoult, D., & Drancourt, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061563 · Cited by 117 · see citing works
Microbiomes other than the gut: inflammaging and age-related diseases
Santoro, A., Zhao, J., Wu, L. H., Carru, C., Biagi, E., & Franceschi, C. (2020) · Seminars in Immunopathology · doi:10.1007/s00281-020-00814-z · Cited by 106 · see citing works
Meta-analysis of genetic variants associated with human exceptional longevity
Paola Sebastiani, B., Bae, H. T., Sun, F. X., Andersen, S. L., Daw, E. W., Malovini, A. L., Kojima, T., Hirose, N., Schupf, N., Puca, A. A., et al. (2013) · Aging · doi:10.18632/aging.100594 · Cited by 91 · see citing works
Self-citationBile acid metabolites control Th17 and Treg cell differentiationPreprint
Hang, S., Paik, D., Devlin, A. S., Trinath, J., Lu, J.-P., Ha, S., Nelson, B. N., Kelly, S. P., Wu, L., Zheng, Y., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/465344 · Cited by 84 · see citing works
Self-citationA metabolic pathway for bile acid dehydroxylation by the gut microbiomePreprint
Funabashi, M., Grove, T. L., Pascal, V., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/758557 · Cited by 57 · see citing works
5α-Reduced glucocorticoids: a story of natural selection
Nixon, M., Upreti, R., & Andrew, R. (2011) · Journal of Endocrinology · doi:10.1530/joe-11-0318 · Cited by 53 · see citing works
Human gut bacteria produce T H 17-modulating bile acid metabolitesPreprint
Paik, D., Yao, L., Zhang, Y., Bae, S., D’Agostino, G. D., Kim, E., Franzosa, E. A., Ávila-Pacheco, J., Bisanz, J. E., Rakowski, C. K., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.08.425913 · Cited by 9 · see citing works
Self-citationA Bacterial Bile Acid Metabolite Modulates T reg Activity through the Nuclear Hormone Receptor NR4A1Preprint
Li, W., Hang, S., Fang, Y., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.08.425963 · Cited by 2 · see citing works
Li, W. (2021) · Data Archiving and Networked Services (DANS) · doi:10.17632/tw35dgpk67.1 · Cited by 1 · see citing works
Li, W. (2021) · Data Archiving and Networked Services (DANS) · doi:10.17632/tw35dgpk67 · Cited by 1 · see citing works
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Loh, J. S., Mak, W. Q., Tan, L. K. S., Ng, C. X., Chan, H. H., Yeow, S. H., Foo, J. B., Ong, Y. S., How, C. W., & Khaw, K. Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01743-1 · Cited by 1,193 · see citing works
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Self-citationMeasuring biological age using omics data
Rutledge, J., Oh, H., & Wyss-Coray, T. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00511-7 · Cited by 570 · see citing works
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López-Otín, C., Pietrocola, F., Roiz-Valle, D., Galluzzi, L., & Kroemer, G. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2022.11.001 · Cited by 529 · see citing works
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Schnell, A., Littman, D. R., & Kuchroo, V. K. (2023) · Nature Immunology · doi:10.1038/s41590-022-01387-9 · Cited by 286 · see citing works
Self-citationKong, C., Liang, L., Liu, G., Du, L., Yang, Y., Liu, J., Shi, D., Li, X., & Ma, Y. (2023) · Gut · doi:10.1136/gutjnl-2022-327156 · Cited by 254 · see citing works
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Sun, H., Guo, Y., Wang, H., Yin, A., Hu, J., Yuan, T., Zhou, S., Xu, W., Wei, P., Yin, S., et al. (2023) · Gut · doi:10.1136/gutjnl-2022-327756 · Cited by 249 · see citing works
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Self-citationAndreu-Sánchez, S., Blanco-Míguez, A., Wang, D., Golzato, D., Manghi, P., Heidrich, V., Fackelmann, G., Zhernakova, D. V., Kurilshikov, A., Valles-Colomer, M., et al. (2025) · Cell · doi:10.1016/j.cell.2025.04.014 · Cited by 81 · see citing works
Chen, J., Levy, A., Tian, A.-L., Huang, X., Cai, G., Fidelle, M., Rauber, C., Ly, P., Pizzato, E., Sitterle, L., et al. (2025) · Cancer Cell · doi:10.1016/j.ccell.2025.02.010 · Cited by 67 · see citing works
Toward a health-associated core keystone index for the human gut microbiome
Goel, A., Shete, O., Goswami, S., Samal, A., C.B., L., Kedia, S., Ahuja, V., O’Toole, P. W., Shanahan, F., & Ghosh, T. S. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115378 · Cited by 37 · see citing works
Phan, J., Nair, D., Jain, S., Montagne, T., Flores, D. V., Nguyen, A., Dietsche, S., Gombar, S., & Cotter, P. (2021) · mSystems · doi:10.1128/msystems.01215-21 · Cited by 33 · see citing works
Gut Microbiota–Related Biomarkers in Immuno-Oncology
Silva, C. A. C., Fidelle, M., Almonte, A. A., Derosa, L., & Zitvogel, L. (2025) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-061124-102218 · Cited by 22 · see citing works
Odoribacter laneus protects intestinal barrier by bile acid-FXR axis in acute pancreatitis
Gu, R., Li, J., Qi, J., Sun, R., Wu, H., & Jin, B. (2026) · AMB Express · doi:10.1186/s13568-026-02071-z · Cited by 2 · see citing works
“The genomes of Odoribacter contain the essential enzymes (5AR and 3β-HSDH) required for secondary bile acid (SBA) synthesis (Sato et al. 2021).”
Influential
- Authors
- Sato, Y., Atarashi, K., Plichta, D. R., Arai, Y., Sasajima, S., Kearney, S. M., Suda, W., Takeshita, K., Sasaki, T., Okamoto, S., Skelly, A. N., Okamura, Y., Vlamakis, H., Li, Y., Tanoue, T., Takei, H., Nittono, H., Narushima, S., Irie, J., Itoh, H., Moriya, K., Sugiura, Y., Suematsu, M., Moritoki, N., Shibata, S., Littman, D. R., Fischbach, M. A., Uwamino, Y., Inoue, T., Honda, A., Hattori, M., Murai, T., Xavier, R. J., Hirose, N., & Honda, K.
- Affiliations
- Keio University (JP)
- Broad Institute (US)
- RIKEN Center for Integrative Medical Sciences (JP)
- Health Sciences University of Hokkaido (JP)
- The University of Tokyo (JP)
- Howard Hughes Medical Institute (US)
- Stanford University (US)
- Central Institute for Experimental Animals (JP)
- Tokyo Medical University Ibaraki Medical Center (JP)
- Waseda University (JP)
- Corresponding author
- Xavier, Ramnik J.
- Honda, Kenya
- ORCID
- Sato, Yuko
- Atarashi, Koji
- Plichta, Damian R.
- Arai, Yasumichi
- Kearney, Sean M.
- Suda, Wataru
- Sasaki, Takahiro
- Skelly, Ashwin N.
- Okamura, Yuki
- Vlamakis, Hera
- Li, Youxian
- Tanoue, Takeshi
- Takei, Hajime
- Nittono, Hiroshi
- Narushima, Seiko
- Irie, Junichiro
- Itoh, Hiroshi
- Moriya, Kyoji
- Sugiura, Yuki
- Suematsu, Makoto
- Moritoki, Nobuko
- Shibata, Shinsuke
- Littman, Dan R.
- Fischbach, Michael A.
- Uwamino, Yoshifumi
- Inoue, Takashi
- Honda, Akira
- Hattori, Masahira
- Xavier, Ramnik J.
- Honda, Kenya
- Venue
- Nature
- Published
- 2021-07-29
- Volume
- 599
- Issue
- 7885
- Pages
- 458-464
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3184541229
- Cited by
- 632
- References
- 53
- Citations by year
- 2026: 113 · 2025: 126 · 2024: 174 · 2023: 99 · 2022: 94 · 2021: 24
- FWCI
- 31.13
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Nature (publishedVersion)
- Research Square (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Naito Foundation
- Takeda Science Foundation
- Japan Agency for Medical Research and Development (20gm0010003h0005)
- Broad Institute
- Keio University
- Japan Society for the Promotion of Science (20H05627, 21K18270, 21K08584, 18H03055, 20H00535, No: 20H05627)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK043351)
- Research Complex Program (JP15667051)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Steroid Chemistry and Biochemistry
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Keywords
- centenarians, gut microbiota, secondary bile acids, lithocholic acid, bile acid synthesis, 5α-reductase, 3β-hydroxysteroid dehydrogenase, antimicrobial activity, multidrug-resistant pathogens, Clostridium difficile, Enterococcus faecium, pathobionts, intestinal homeostasis, aging
- MeSH terms
- Gastrointestinal Microbiome, Centenarians, Aged, 80 and over, Animals, Anti-Bacterial Agents, Bacteria, Feces, Female, Gram-Positive Bacteria, Humans, Lithocholic Acid, Male, Symbiosis, 3-Hydroxysteroid Dehydrogenases, Cholestenone 5 alpha-Reductase, Mice, Biosynthetic Pathways
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 ›
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