Cited by 970Drug Transport and Resistance MechanismsGut microbiota and healthCholesterol and Lipid Metabolism

Bile Acid Control of Metabolism and Inflammation in Obesity, Type 2 Diabetes, Dyslipidemia, and Nonalcoholic Fatty Liver Disease

Open access
Chávez-Talavera, Oscar, Tailleux, Anne, Lefebvre, Philippe, Staels, Bart·2017·Gastroenterology

Abstract

Bile acids are signaling molecules that coordinately regulate metabolism and inflammation via the nuclear farnesoid X receptor (FXR) and the Takeda G protein-coupled receptor 5 (TGR5). These receptors activate transcriptional networks and signaling cascades controlling the expression and activity of genes involved in bile acid, lipid and carbohydrate metabolism, energy expenditure, and inflammation by acting predominantly in enterohepatic tissues, but also in peripheral organs. In this review, we discuss the most recent findings on the inter-organ signaling and interplay with the gut microbiota of bile acids and their receptors in meta-inflammation, with a focus on their pathophysiologic roles in obesity, type 2 diabetes, dyslipidemia, and nonalcoholic steatohepatitis, and their potential therapeutic applications.

Integrity signals

Registry

Crossref · 10.1053/j.gastro.2017.01.055

Cites

164 of 164 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Some secondary bile acids impact host physiology through interaction with host nuclear receptors including FXR, LXR, PXR, and specific G-protein coupled receptors like TGR5.

    “Following systemic adsorption, some secondary BAs in turn impact host physiology though interaction with a variety of host nuclear receptors including FXR, liver X receptor (LXR), pregnane X receptor (PXR), and specific G-protein coupled receptors like TGR5 (Figure 1)40–44.”

    From Gut microbiota and cardiovascular disease. (2020) · cites this paper as [43]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Chávez-Talavera, O., Tailleux, A., Lefebvre, P., & Staels, B.
Affiliations
Inserm (FR)
Corresponding author
Staels, Bart
Venue
Gastroenterology
Publisher
Elsevier BV
Published
2017-05
Volume
152
Issue
7
Pages
1679-1694.e3
ISSN
0016-5085 (ISSN-L)
OpenAlex
W2588130051
Cited by
970
References
164
Citations by year
2026: 104 · 2025: 128 · 2024: 116 · 2023: 132 · 2022: 140 · 2021: 119 · 2020: 94 · 2019: 75 · 2018: 45 · 2017: 17
FWCI
6.63
Type
journal article
Language
en
Open access
Locations
  • Gastroenterology (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, other-oa)
  • LillOA (Université de Lille (University Of Lille)) (submittedVersion, other-oa)
Funders
Agence Nationale de la Recherche (ANR-10-LABX-0046)
Topics
  • Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Surgery › Cholesterol and Lipid Metabolism
Keywords
bile acids, farnesoid X receptor, TGR5, obesity, type 2 diabetes, dyslipidemia, non-alcoholic fatty liver disease, nonalcoholic steatohepatitis, inflammation, meta-inflammation, gut microbiota, lipid metabolism, energy expenditure, bile acid signaling
MeSH terms
Gastrointestinal Microbiome, Receptor, Farnesoid X-Activated, Animals, Bile Acids and Salts, Diabetes Mellitus, Type 2, Energy Metabolism, Glucose, Humans, Inflammation, Obesity, Signal Transduction, Receptors, Cytoplasmic and Nuclear, Receptors, G-Protein-Coupled, Dyslipidemias, Lipid Metabolism, Molecular Targeted Therapy, Non-alcoholic Fatty Liver Disease

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