Evidence map›Paper›PMID 27639801›Full record

ReviewGastroenterology2016

An Intestinal Microbiota-Farnesoid X Receptor Axis Modulates Metabolic Disease.

Frank J Gonzalez, Changtao Jiang, Andrew D Patterson

Open access · bronzeAbstract readReview
In one paragraph

Review in Gastroenterology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 207 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
207citing papers in PubMed, 2 pooled it
13.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

207 citing papers in PubMed, 2 syntheses or guidelines pooled it, 350 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Bile acid signaling in health and disease.Molecular biomedicine · 2026
    Review
  5. Article
  6. The Polysaccharides fromNutrients · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Bile acid signaling, metabolism, and aging.Liver research (Beijing, China) · 2026
    Review
  18. Review
  19. Article
  20. Review

147 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Frank J GonzalezLaboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: gonzalef@mail.nih.gov.
Changtao JiangDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Beijing, People's Republic of China. Electronic address: jiangchangtao@bjmu.edu.cn.
Andrew D PattersonDepartment of Veterinary and Biomedical Sciences and the Center for Molecular Toxicology and Carcinogenesis, The Pennsylvania State University, University Park, Pennsylvania.
Center for Cancer Research · USPeking University · CNPennsylvania State University · US

Funding

Xenobiotic receptorsZIABC005562 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GONZALEZ, FRANK J · 2009 to 2025
$26.9M
Optimized Metabolite Extraction, Separation, and Identification for MetabolomicsR01ES022186 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PATTERSON, ANDREW · 2012 to 2016
$2.0M
TRANSCRIPTIONAL REGULATION OF GENES ENCODING XENOBIOTIC METABOLIZING ENZYMESZ01BC005561 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GONZALEZ, FRANK · 1996 to 2008
$754k
Intramural NIH HHS Z01 BC005561NIEHS NIH HHS R01 ES022186
6 · The paper itself

Abstract

The gut microbiota is associated with metabolic diseases including obesity, insulin resistance, and nonalcoholic fatty liver disease, as shown by correlative studies and by transplant of microbiota from obese humans and mice into germ-free mice. Modification of the microbiota by treatment of high-fat diet (HFD)-fed mice with tempol or antibiotics resulted in decreased adverse metabolic phenotypes. This was owing to lower levels of the genera Lactobacillus and decreased bile salt hydrolase (BSH) activity. The decreased BSH resulted in increased levels of tauro-β-muricholic acid (MCA), a substrate of BSH and a potent farnesoid X receptor (FXR) antagonist. Mice lacking expression of FXR in the intestine were resistant to HFD-induced obesity, insulin resistance, and nonalcoholic fatty liver disease, thus confirming that intestinal FXR is involved in the potentiation of metabolic disease. A potent intestinal FXR antagonist, glycine-β-MCA (Gly-MCA), which is resistant to BSH, was developed, which, when administered to HFD-treated mice, mimics the effect of the altered microbiota on HFD-induced metabolic disease. Gly-MCA had similar effects on genetically obese leptin-deficient mice. The decrease in adverse metabolic phenotype by tempol, antibiotics, and Gly-MCA was caused by decreased serum ceramides. Mice lacking FXR in the intestine also have lower serum ceramide levels, and are resistant to HFD-induced metabolic disease, and this was reversed by injection of C16:0 ceramide. In mouse ileum, because of the presence of endogenous FXR agonists produced in the liver, FXR target genes involved in ceramide synthesis are activated and when Gly-MCA is administered they are repressed, which likely accounts for the decrease in serum ceramides. These studies show that ceramides produced in the ileum under control of FXR influence metabolic diseases.

Indexed as

AnimalsBile Acids and SaltsBiomarkersCeramidesGastrointestinal MicrobiomeHomeostasisIleumInsulin ResistanceMetabolic DiseasesMiceNon-alcoholic Fatty Liver DiseaseObesityReceptor, Farnesoid X-ActivatedReceptors, Cytoplasmic and NuclearBile Acids and SaltsBiomarkersCeramidesReceptor, Farnesoid X-ActivatedReceptors, Cytoplasmic and NuclearBile AcidsCeramidesFarnesoid X ReceptorMetabolic Disease

Identifiers

PMID27639801
PMCPMC5159222
OpenAlexW2519008943

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.