Cited by 32Liver Diseases and ImmunityGut microbiota and healthDrug Transport and Resistance Mechanisms

Bacterial and metabolic phenotypes associated with inadequate response to ursodeoxycholic acid treatment in primary biliary cholangitis

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Martinez-Gili, Laura, Pechlivanis, Alexandros, McDonald, Julie A.K., Begum, Sofina, Badrock, Jonathan, Dyson, Jessica K., Jones, Rebecca, Hirschfield, Gideon +10 more·2023·Gut Microbes

Abstract

Primary biliary cholangitis (PBC) is a chronic cholestatic liver disease with ursodeoxycholic acid (UDCA) as first-line treatment. Poor response to UDCA is associated with a higher risk of progressing to cirrhosis, but the underlying mechanisms are unclear. UDCA modulates the composition of primary and bacterial-derived bile acids (BAs). We characterized the phenotypic response to UDCA based on BA and bacterial profiles of PBC patients treated with UDCA. Patients from the UK-PBC cohort (n = 419) treated with UDCA for a minimum of 12-months were assessed using the Barcelona dynamic response criteria. BAs from serum, urine, and feces were analyzed using Ultra-High-Performance Liquid Chromatography-Mass Spectrometry and fecal bacterial composition measured using 16S rRNA gene sequencing. We identified 191 non-responders, 212 responders, and a subgroup of responders with persistently elevated liver biomarkers (n = 16). Responders had higher fecal secondary and tertiary BAs than non-responders and lower urinary bile acid abundances, with the exception of 12-dehydrocholic acid, which was higher in responders. The sub-group of responders with poor liver function showed lower alpha-diversity evenness, lower abundance of fecal secondary and tertiary BAs than the other groups and lower levels of phyla with BA-deconjugation capacity (Actinobacteriota/Actinomycetota, Desulfobacterota, Verrucomicrobiota) compared to responders. UDCA dynamic response was associated with an increased capacity to generate oxo-/epimerized secondary BAs. 12-dehydrocholic acid is a potential biomarker of treatment response. Lower alpha-diversity and lower abundance of bacteria with BA deconjugation capacity might be associated with an incomplete response to treatment in some patients.

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  • 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.

    “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 [37]

    The Discussion (page not provided) reports lower faecal secondary bile acids in a subgroup of UDCA-treated patients with PBC and suggests they might have reduced bacterial bile-acid conversion capacity. It does not establish a general decrease in primary-to-secondary conversion in PBC or show that microbiota alter both serum and faecal profiles; the Discussion says serum bile acids were not associated with treatment response. (LLM, conf=0.87)

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  1. [2]Híndi M, Levy C, Couto CA, Bejarano P, Mendes F. Primary biliary cirrhosis is more severe in overweight patients. J Clin Gastroenterol. 2013; 47(3): 28– 32. doi: 10.1097/MCG.0b013e318261e659. 23059407 · DOI
  2. [3]Sorrentino P, Terracciano L, D’Angelo S, Ferbo U, Bracigliano A, Tarantino L, Perrella A, Perrella O, De Chiara G, Panico L, et al. Oxidative stress and steatosis are cofactors of liver injury in primary biliary cirrhosis. J Gastroenterol. 2010; 45(10): 1053– 1062. doi: 10.1007/s00535-010-0249-x. 20393861 · DOI
  3. [4]Xu H, Wu Z, Feng F, Li Y, Zhang S. Low vitamin D concentrations and BMI are causal factors for primary biliary cholangitis: a mendelian randomization study. Front Immunol. 2022; 13: 1– 8. doi: 10.3389/fimmu.2022.1055953. PMC9807903 36605198 · DOI
  4. [5]Goet JC, Harms MH, Carbone M, Hansen BE. Risk stratification and prognostic modelling in primary biliary cholangitis. Best Pract Res Clin Gastroenterol. 2018; 34–35: 95– 106. doi: 10.1016/j.bpg.2018.06.006. 30343715 · DOI
  5. [6]Murillo Perez CF, Harms MH, Lindor KD, Van Buuren HR, Hirschfield GM, Corpechot C, Van Der Meer AJ, Feld JJ, Gulamhusein A, Lammers WJ, et al. Goals of treatment for improved survival in primary biliary cholangitis: treatment target should be bilirubin within the normal range and normalization of alkaline phosphatase. Am J Gastroenterol. 2020; 115(7): 1066– 1074. doi: 10.14309/ajg.0000000000000557. 32618657 · DOI · Paper page
  6. [7]Parés A, Caballería L, Rodés J. Excellent long-term survival in patients with primary biliary cirrhosis and biochemical response to ursodeoxycholic acid. Gastroenterology. 2006; 130(3): 715– 720. doi: 10.1053/j.gastro.2005.12.029. 16530513 · DOI · Paper page
  7. [8]Azemoto N, Abe M, Murata Y, Hiasa Y, Hamada M, Matsuura B, Onji M. Early biochemical response to ursodeoxycholic acid predicts symptom development in patients with asymptomatic primary biliary cirrhosis. J Gastroenterol. 2009; 44(6): 630– 634. doi: 10.1007/s00535-009-0051-9. 19370305 · DOI
  8. [9]Kumagi T, Guindi M, Fischer SE, Arenovich T, Abdalian R, Coltescu C, Heathcote JE, Hirschfield GM. Baseline ductopenia and treatment response predict long-term histological progression in primary biliary cirrhosis. Off J Am Coll Gastroenterol ACG. 2010; 105(10): 2186– 2194. doi: 10.1038/ajg.2010.216. 20502446 · DOI · Paper page
  9. [10]Jia W, Xie G, Jia W. Bile acid–microbiota crosstalk in gastrointestinal inflammation and carcinogenesis. Nat Rev Gastroenterol Hepatol. 2017; 15(2): 111– 128. doi: 10.1038/nrgastro.2017.119. 29018272 PMC5899973 · DOI · Paper page
  10. [11]Martinez-Gili L, McDonald JAK, Liu Z, Kao D, Allegretti JR, Monaghan TM, Barker GF, Miguéns Blanco J, Williams HRT, Holmes E, et al. Understanding the mechanisms of efficacy of fecal microbiota transplant in treating recurrent Clostridioides difficile infection and beyond: the contribution of gut microbial-derived metabolites. Gut Microbes. 2020; 12(1): 1– 10. doi: 10.1080/19490976.2020.1810531. PMC7524310 32893721 · DOI
  11. [13]Kitahata S, Yamamoto Y, Yoshida O, Tokumoto Y, Kawamura T, Furukawa S, Kumagi T, Hirooka M, Takeshita E, Abe M, et al. Ileal mucosa-associated microbiota overgrowth associated with pathogenesis of primary biliary cholangitis. Sci Rep. 2021; 11(1): 1– 9. doi: 10.1038/s41598-021-99314-9. 34611265 PMC8492680 · DOI
  12. [14]Huang C-Y, Zhang H-P, Han W-J, Zhao D-T, Liao H-Y, Y-X M, Xu B, L-J L, Han Y, Liu X-H, et al. Disease predisposition of human leukocyte antigen class II genes influences the gut microbiota composition in patients with primary biliary cholangitis. Front Immunol. 2022; 13: 1– 14. doi: 10.3389/fimmu.2022.984697. PMC9531677 36203614 · DOI
  13. [16]Carbone M, Mells GF, Pells G, Dawwas MF, Newton JL, Heneghan MA, Neuberger JM, Day DB, Ducker SJ, Consortium UP, et al. Sex and age are determinants of the clinical phenotype of primary biliary cirrhosis and response to ursodeoxycholic acid. Gastroenterology. 2013; 144(3): 560– 569.E7. doi: 10.1053/j.gastro.2012.12.005. 23246637 · DOI · Paper page
  14. [17]Mells GF, Floyd JAB, Morley KI, Cordell HJ, Franklin CS, Shin S-Y, Heneghan MA, Neuberger JM, Donaldson PT, Day DB, et al. Genome-wide association study identifies 12 new susceptibility loci for primary biliary cirrhosis. Nat Genet. 2011; 43(4): 329– 332. doi: 10.1038/ng.789. 21399635 PMC3071550 · DOI · Paper page
  15. [18]Barron-Millar B, Ogle L, Mells G, Flack S, Badrock J, Sandford R, Kirby J, Palmer J, Jopson L, Brain J, et al. The serum proteome and ursodeoxycholic acid response in primary biliary cholangitis. Hepatology. 2021; 74(6): 3269– 3283. doi: 10.1002/hep.32011. 34129689 · DOI · Paper page
  16. [19]Li Y, Tang R, Leung PSC, Gershwin ME, Ma X. Bile acids and intestinal microbiota in autoimmune cholestatic liver diseases. Autoimmun Rev. 2017; 16(9): 885– 896. doi: 10.1016/j.autrev.2017.07.002. 28698093 · DOI
  17. [20]Lin H, Peddada SD. Analysis of compositions of microbiomes with bias correction. Nat Commun. 2020; 11(1): 1– 11. doi: 10.1038/s41467-020-17041-7. 32665548 PMC7360769 · DOI
  18. [21]Vujkovic-Cvijin I, Sklar J, Jiang L, Natarajan L, Knight R, Belkaid Y. Host variables confound gut microbiota studies of human disease. Nature. 2020; 587(7834): 448– 454. doi: 10.1038/s41586-020-2881-9. 33149306 PMC7677204 · DOI · Paper page
  19. [22]Martínez L, Torres S, Baulies A, Alarcón-Vila C, Elena M, Fabriàs G, Casas J, Caballeria J, Fernandez-Checa JC, García-Ruiz C. Myristic acid potentiates palmitic acid-induced lipotoxicity and steatohepatitis associated with lipodystrophy by sustaining de novo ceramide synthesis. Oncotarget. 2015; 6(39): 41479– 41496. doi: 10.18632/oncotarget.6286. 26539645 PMC4747168 · DOI
  20. [23]Poupon R. Ursodeoxycholic acid and bile-acid mimetics as therapeutic agents for cholestatic liver diseases: an overview of their mechanisms of action. Clin Res Hepatol Gastroenterol. 2012; 36: S3– 12. doi: 10.1016/S2210-7401(12)70015-3. 23141891 · DOI
  21. [24]Fujino C, Sanoh S, Katsura T. Variation in expression of cytochrome P450 3A Isoforms and toxicological effects: endo- and exogenous substances as regulatory factors and substrates. Biol Pharm Bull. 2021; 44(11): 1617– 1634. doi: 10.1248/bpb.b21-00332. 34719640 · DOI
  22. [25]Abdul Rahim MBH, Chilloux J, Martinez-Gili L, Neves AL, Myridakis A, Gooderham N, Dumas M-E. Diet-induced metabolic changes of the human gut microbiome: importance of short-chain fatty acids, methylamines and indoles. Acta Diabetol. 2019; 56(5): 493– 500. doi: 10.1007/s00592-019-01312-x. 30903435 PMC6451719 · DOI
  23. [26]Lammert C, Shin AS, Xu H, Hemmerich C, O’Connell T M, Chalasani N. Short-chain fatty acid and fecal microbiota profiles are linked to fibrosis in primary biliary cholangitis. FEMS Microbiol Lett. 2021; 368(6): 1– 6. doi: 10.1093/femsle/fnab038. PMC8062329 33836051 · DOI
  24. [27]Dawson PA, Hubbert ML, Rao A. Getting the mOST from OST: role of organic solute transporter, OSTα-OSTβ, in bile acid and steroid metabolism. Biochim Biophys Acta Mol Cell Biol Lipids. 2010; 1801(9): 994– 1004. doi: 10.1016/j.bbalip.2010.06.002. PMC2911127 20538072 · DOI
  25. [28]Trottier J, Białek A, Caron P, Straka RJ, Milkiewicz P, Barbier O, Gasset M. Profiling circulating and urinary bile acids in patients with biliary obstruction before and after biliary stenting. Plos One. 2011; 6(7): 1– 8. doi: 10.1371/journal.pone.0022094. PMC3132779 21760958 · DOI
  26. [29]Poupon R, RenéeE P, Calmus Y, Chrétien Y, Ballet F, Darnis F. Is ursodeoxycholic acid an effective treatment for primary biliary cirrhosis? Lancet. 1987; 329(8537): 834– 836. doi: 10.1016/S0140-6736(87)91610-2. 2882236 · DOI
  27. [30]Oka H, Toda G, Ikeda Y, Hashimoto N, Hasumura Y, Kamimura T, Ohta Y, Tsuji T, Hattori N, Namihisa T, et al. A multi-center double-blind controlled trial of ursodeoxycholic acid for primary biliary cirrhosis. Gastroenterol Jpn. 1990; 25(6): 774– 780. doi: 10.1007/BF02779195. 1980654 · DOI
  28. [31]Ferraris R, Colombatti G, Fiorentini MT, Carosso R, Arossa W, De La Pierre M. Diagnostic value of serum bile acids and routine liver function tests in hepatobiliary diseases: sensitivity, specificity, and predictive value. Dig Dis Sci. 1983; 28(2): 129– 136. doi: 10.1007/BF01315142. 6825534 · DOI
  29. [32]Invernizzi P, Setchell KD, Crosignani A, Battezzati PM, Larghi A, O’Connell NC, Podda M. Differences in the metabolism and disposition of ursodeoxycholic acid and of its taurine-conjugated species in patients with primary biliary cirrhosis. Hepatology. 1999; 29(2): 320– 327. doi: 10.1002/hep.510290220. 9918905 · DOI
  30. [33]Mythen SM, Devendran S, Méndez-García C, Cann I, Ridlon JM, Vieille C. Targeted synthesis and characterization of a gene cluster encoding NAD(P)H-Dependent 3α-, 3β-, and 12α-hydroxysteroid dehydrogenases from Eggerthella CAG: 298, a gut metagenomic sequence. Appl Environ Microbiol. 2018; 84(7): 1– 13. doi: 10.1128/AEM.02475-17. PMC5861830 29330189 · DOI
  31. [34]Ridlon JM, Kang DJ, Hylemon PB. Bile salt biotransformations by human intestinal bacteria. J Lipid Res. 2006; 47(2): 241– 259. doi: 10.1194/jlr.R500013-JLR200. 16299351 · DOI · Paper page
  32. [35]Chanussot F, Lafont H, Hauton J, Tuchweber B, Yousef I. Studies on the origin of biliary phospholipid. Effect of dehydrocholic acid and cholic acid infusions on hepatic and biliary phospholipids. Biochem J. 1990; 270(3): 691– 695. doi: 10.1042/bj2700691. 2241901 PMC1131787 · DOI
  33. [36]Zhang X, Xin G, Li S, Wei Z, Ming Y, Yuan J, Wen E, Xing Z, Yu K, Li Y, et al. Dehydrocholic acid ameliorates sodium taurocholate-induced acute biliary pancreatitis in mice. Biol Pharm Bull. 2020; 43(6): 985– 993. doi: 10.1248/bpb.b20-00021. 32475920 · DOI
  34. [37]Khanna A, Leighton J, Lee Wong L, Jones DE. Symptoms of PBC – Pathophysiology and management. Best Pract Res Clin Gastroenterol. 2018; 34–35: 41– 47. doi: 10.1016/j.bpg.2018.06.007. 30343709 · DOI
  35. [38]Li B, Zhang J, Chen Y, Wang Q, Yan L, Wang R, Wei Y, You Z, Li Y, Miao Q, et al. Alterations in microbiota and their metabolites are associated with beneficial effects of bile acid sequestrant on icteric primary biliary Cholangitis. Gut Microbes. 2021; 13(1): 1– 15. doi: 10.1080/19490976.2021.1946366. PMC8405155 34437819 · DOI
  36. [39]Ramirez J, Guarner F, Bustos Fernandez L, Maruy A, Sdepanian VL, Cohen H. Antibiotics as major disruptors of gut microbiota. Front Cell Infect Microbiol. 2020; 10: 1– 10. doi: 10.3389/fcimb.2020.572912. 33330122 PMC7732679 · DOI
  37. [40]Anthony WE, Wang B, Sukhum KV, D’Souza AW, Hink T, Cass C, Seiler S, Reske KA, Coon C, Dubberke ER, et al. Acute and persistent effects of commonly used antibiotics on the gut microbiome and resistome in healthy adults. Cell Rep Available from. 2022; 39(2): 110649. [cited 2023 Mar 1]. https://www.cell.com/cell-reports/abstract/S2211-12472200401-6. 35417701 PMC9066705
  38. [41]Corpechot C, Carrat F, Poujol-Robert A, Gaouar F, Wendum D, Chazouillères O, Poupon R. Noninvasive elastography-based assessment of liver fibrosis progression and prognosis in primary biliary cirrhosis. Hepatology. 2012; 56(1): 198– 208. doi: 10.1002/hep.25599. 22271046 · DOI · Paper page
  39. [44]Sarafian MH, Lewis MR, Pechlivanis A, Ralphs S, McPhail MJW, Patel VC, Dumas M-E, Holmes E, Nicholson JK. Bile acid profiling and quantification in biofluids using ultra-performance liquid chromatography tandem mass spectrometry. Anal Chem. 2015; 87(19): 9662– 9670. doi: 10.1021/acs.analchem.5b01556. 26327313 · DOI
  40. [45]Chambers MC, MacLean B, Burke R, Amodei D, Ruderman DL, Neumann S, Gatto L, Fischer B, Pratt B, Egertson J, et al. A cross-platform toolkit for mass spectrometry and proteomics. Nat Biotechnol. 2012; 30(10): 918– 920. doi: 10.1038/nbt.2377. 23051804 PMC3471674 · DOI
  41. [46]Wolfer AM, Correia G DS, Sands CJ, Camuzeaux S, Yuen AHY, Chekmeneva E, Takáts Z, Pearce JTM, Lewis MR, Martelli PL. peakPanther, an R package for large-scale targeted extraction and integration of annotated metabolic features in LC–MS profiling datasets. Bioinformatics. 2021; 37(24): 4886– 4888. doi: 10.1093/bioinformatics/btab433. 34125879 PMC8665750 · DOI
  42. [47]Dona AC, Jiménez B, Schäfer H, Humpfer E, Spraul M, Lewis MR, Pearce JTM, Holmes E, Lindon JC, Nicholson JK. Precision high-throughput proton nmr spectroscopy of human urine, serum, and plasma for large-scale metabolic phenotyping. Anal Chem. 2014; 86(19): 9887– 9894. doi: 10.1021/ac5025039. 25180432 · DOI · Paper page
  43. [48]Dieterle F, Ross A, Schlotterbeck G, Senn H. Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in 1 H NMR metabonomics. Anal Chem. 2006; 78(13): 4281– 4290. doi: 10.1021/ac051632c. 16808434 · DOI
  44. [49]Cloarec O, Dumas ME, Craig A, Barton RH, Trygg J, Hudson J, Blancher C, Gauguier D, Lindon JC, Holmes E, et al. Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets. Anal Chem. 2005; 77(5): 1282– 1289. doi: 10.1021/ac048630x. 15732908 · DOI
  45. [50]Mullish BH, Pechlivanis A, Barker GF, Thursz MR, Marchesi JR, McDonald JAK. Functional microbiomics: evaluation of gut microbiota-bile acid metabolism interactions in health and disease. Methods. 2018; 149: 49– 58. doi: 10.1016/j.ymeth.2018.04.028. 29704662 PMC6347095 · DOI
  46. [51]Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. DADA2: high-resolution sample inference from Illumina amplicon data. Nat Methods. 2016; 13(7): 581– 583. doi: 10.1038/nmeth.3869. 27214047 PMC4927377 · DOI · Paper page
  47. [52]Prodan A, Tremaroli V, Brolin H, Zwinderman AH, Nieuwdorp M, Levin E, Seo J-S. Comparing bioinformatic pipelines for microbial 16S rRNA amplicon sequencing. Plos One. 2020; 15(1): 1– 19. doi: 10.1371/journal.pone.0227434. PMC6964864 31945086 · DOI · Paper page
  48. [53]Murali A, Bhargava A, ES W. IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences. Microbiome. 2018; 6(1): 1– 14. doi: 10.1186/s40168-018-0521-5. 30092815 PMC6085705 · DOI
  49. [54]Davis NM, Proctor DM, Holmes SP, Relman DA, Callahan BJ. Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data. Microbiome. 2018; 6(1): 1– 14. doi: 10.1186/s40168-018-0605-2. 30558668 PMC6298009 · DOI · Paper page
  50. [55]Palarea-Albaladejo J, Martín-Fernández JA. zCompositions - R package for multivariate imputation of left-censored data under a compositional approach. Chemom Intell Lab Syst. 2015; 143: 85– 96. doi: 10.1016/j.chemolab.2015.02.019. · DOI
  51. [56]Martín-Fernández JA, Hron K, Templ M, Filzmoser P, Palarea-Albaladejo J. Bayesian-multiplicative treatment of count zeros in compositional data sets. Stat Model. 2015; 15(2): 134– 158. doi: 10.1177/1471082X14535524. · DOI
  52. [57]Thévenot EA, Roux A, Xu Y, Ezan E, Junot C. Analysis of the human adult urinary metabolome variations with age, body mass index, and gender by implementing a comprehensive workflow for univariate and OPLS statistical analyses. J Proteome Res. 2015; 14(8): 3322– 3335. doi: 10.1021/acs.jproteome.5b00354. 26088811 · DOI
  53. [59]Kaul A, Mandal S, Davidov O, Peddada SD. Analysis of microbiome data in the presence of excess zeros. Front Microbiol. 2017; 8: 1– 10. doi: 10.3389/fmicb.2017.02114. 29163406 PMC5682008 · DOI
  54. [60]Bates D, Mächler M, Bolker BM, Walker SC. Fitting linear mixed-effects models using lme4. J Stat Softw. 2015; 67(1): 1– 51. doi: 10.18637/jss.v067.i01. · DOI · Paper page
  55. [61]Wickham H, Averick M, Bryan J, Chang W, McGowan L, François R, Grolemund G, Hayes A, Henry L, Hester J, et al. Welcome to the tidyverse. J Open Source Softw. 2019; 4(43): 1– 6. doi: 10.21105/joss.01686. · DOI · Paper page

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Authors
Martinez-Gili, L., Pechlivanis, A., McDonald, J. A. K., Begum, S., Badrock, J., Dyson, J. K., Jones, R., Hirschfield, G., Ryder, S. D., Sandford, R., Rushbrook, S., Thorburn, D., Taylor-Robinson, S. D., Crossey, M. M. E., Marchesi, J. R., Mells, G., Holmes, E., & Jones, D.
Affiliations
  • Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
  • Imperial College London (GB)
  • University of Cambridge (GB)
  • Newcastle upon Tyne Hospitals NHS Foundation Trust (GB)
  • St James's University Hospital (GB)
  • National Institute for Health and Care Research (GB)
  • Nottingham University Hospitals NHS Trust (GB)
  • Norfolk and Norwich University Hospital (GB)
  • The Royal Free Hospital (GB)
  • Murdoch University (AU)
Corresponding author
Jones, David
Venue
Gut Microbes
Published
2023-05-16
Volume
15
Issue
1
Pages
2208501-2208501
ISSN
  • 1949-0976 (ISSN-L)
  • 1949-0984
OpenAlex
W4376641583
Cited by
32
References
6
Citations by year
2026: 12 · 2025: 7 · 2024: 11 · 2023: 2
FWCI
5.41
Type
journal article
Language
en
Open access
Locations
  • Gut Microbes (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UEA Digital Repository (University of East Anglia) (acceptedVersion)
  • UCL Discovery (University College London) (submittedVersion, cc-by)
  • Spiral (Imperial College London) (submittedVersion, cc-by)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Newcastle University ePrints (Newcastle Univesity) (cc-by)
Funders
Medical Research Council (MR/L001489/1)
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, ursodeoxycholic acid, treatment response, bile acids, fecal microbiota, bacterial diversity, bile acid deconjugation, secondary bile acids, urinary bile acids, treatment response biomarkers, cholestatic liver disease
MeSH terms
Gastrointestinal Microbiome, Bacteria, Bile Acids and Salts, Cholagogues and Choleretics, Dehydrocholic Acid, Humans, Liver Cirrhosis, Biliary, Phenotype, RNA, Ribosomal, 16S, Ursodeoxycholic Acid, Biomarkers

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