Cited by 518Gut microbiota and healthDrug Transport and Resistance MechanismsSteroid Chemistry and Biochemistry

Taxonomic profiling and populational patterns of bacterial bile salt hydrolase (BSH) genes based on worldwide human gut microbiome

Open access
Song, Ziwei, Cai, Yuanyuan, Lao, Xingzhen, Wang, Xue, Lin, Xiaoxuan, Cui, Yingyun, Kalavagunta, Praveen Kumar, Liao, Jun +3 more·2019·Microbiome

Published version of a preprint

Abstract

BACKGROUND: Bile salt hydrolase plays an important role in bile acid-mediated signaling pathways, which regulate lipid absorption, glucose metabolism, and energy homeostasis. Several reports suggest that changes in the composition of bile acids are found in many diseases caused by dysbacteriosis. RESULTS: Here, we present the taxonomic identification of bile salt hydrolase (BSH) in human microbiota and elucidate the abundance and activity differences of various bacterial BSH among 11 different populations from six continents. For the first time, we revealed that bile salt hydrolase protein sequences (BSHs) are distributed in 591 intestinal bacterial strains within 117 genera in human microbiota, and 27.52% of these bacterial strains containing BSH paralogs. Significant variations are observed in BSH distribution patterns among different populations. Based on phylogenetic analysis, we reclassified these BSHs into eight phylotypes and investigated the abundance patterns of these phylotypes among different populations. From the inspection of enzyme activity among different BSH phylotypes, BSH-T3 showed the highest enzyme activity and is only found in Lactobaclillus. The phylotypes of BSH-T5 and BSH-T6 mainly from Bacteroides with high percentage of paralogs exhibit different enzyme activity and deconjugation activity. Furthermore, we found that there were significant differences between healthy individuals and patients with atherosclerosis and diabetes in some phylotypes of BSHs though the correlations were pleiotropic. CONCLUSION: This study revealed the taxonomic and abundance profiling of BSH in human gut microbiome and provided a phylogenetic-based system to assess BSHs activity by classifying the target sequence into specific phylotype. Furthermore, the present work disclosed the variation patterns of BSHs among different populations of geographical regions and health/disease cohorts, which is essential to understand the role of BSH in the development and progression of related diseases.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s40168-019-0628-3

Cites

85 of 85 references verified0 citation errors · 0 not checkable

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. [24]National Center for Biotechnology Information, U.S. https://www.ncbi.nlm.nih.gov. Accessed 17 Oct 2018.
  2. [53]Haeusler RA Astiarraga B Camastra S Accili D Ferrannini E Human insulin resistance is associated with increased plasma levels of 12a-hydroxylated bile acids Diabetes 2013 62 4184 4191 10.2337/db13-0639 23884887 PMC3837033 · DOI · Paper page

Cited by

Sorted by citations

Authors
Song, Z., Cai, Y., Lao, X., Wang, X., Lin, X., Cui, Y., Kalavagunta, P. K., Liao, J., Jin, L., Shang, J., & Li, J.
Affiliations
China Pharmaceutical University (CN)
Corresponding author
  • Jin, Liang
  • Shang, Jing
  • Li, Jing
Venue
Microbiome
Published
2019-01-23
Volume
7
Issue
1
Pages
9-9
ISSN
2049-2618 (ISSN-L)
OpenAlex
W2952656298
Cited by
505
References
85
Citations by year
2026: 56 · 2025: 88 · 2024: 109 · 2023: 78 · 2022: 77 · 2021: 58 · 2020: 32 · 2019: 6 · 2018: 1
FWCI
14.31
Type
journal article
Language
en
Open access
Locations
  • Microbiome (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • Europe PMC (PubMed Central) (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 (31670495)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Steroid Chemistry and Biochemistry
Keywords
bile salt hydrolase, human gut microbiome, bile acid deconjugation, Lactobacillus, Bacteroides, population variation, atherosclerosis, diabetes mellitus, dysbiosis, bile acid signaling
MeSH terms
Gastrointestinal Microbiome, Amidohydrolases, Amino Acid Sequence, Bacteria, Bile Acids and Salts, Humans, Phylogeny, Protein Structure, Secondary, Enzyme Assays, Molecular Docking Simulation

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