Evidence map›Paper›PMID 29882708›Full record

ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2018

Obesity treatment by epigallocatechin-3-gallate-regulated bile acid signaling and its enriched Akkermansia muciniphila.

Lili Sheng, Prasant Kumar Jena, Hui-Xin Liu, Ying Hu, Nidhi Nagar, Denise N Bronner, Matthew L Settles, Andreas J Bäumler, Yu-Jui Yvonne Wan

Open access · bronzeAbstract read
In one paragraph

Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
12.3field-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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 135 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Flavonoids, gut microbiota, and host lipid metabolism.Engineering in life sciences · 2024
    Review
  17. Review
  18. Article
  19. Review
  20. Review
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

9 authors at 2 institutions in 1 country.

Lili ShengDepartment of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, California, USA.
Prasant Kumar JenaDepartment of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, California, USA.
Hui-Xin LiuDepartment of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, California, USA.
Ying HuDepartment of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, California, USA.
Nidhi NagarDepartment of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, California, USA.
Denise N BronnerDepartment of Medical Microbiology and Immunology, University of California, Davis, Davis, California, USA.
Matthew L SettlesBioinformatics Core Facility in the Genome Center, University of California, Davis, Davis, California, USA.
Andreas J BäumlerDepartment of Medical Microbiology and Immunology, University of California, Davis, Davis, California, USA.
Yu-Jui Yvonne WanDepartment of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, California, USA.
University of California, Davis · USUniversity of California Davis Medical Center · US

Funding

The Role of Probiotic Bifidobacteria and Bile Acid Metabolism in CarcinogenesisU01CA179582 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MILLS, DAVID ANDREW, SLUPSKY, CAROLYN · 2014 to 2018
$2.8M
Liver Cancer Therapy by MiR-22 and Its InducersR01CA222490 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI WAN, YU-JUI YVONNE · 2018 to 2023
$2.1M
NCI NIH HHS R01 CA222490NCI NIH HHS U01 CA179582
6 · The paper itself

Abstract

Dysregulated bile acid (BA) synthesis is accompanied by dysbiosis, leading to compromised metabolism. This study analyzes the effect of epigallocatechin-3-gallate (EGCG) on diet-induced obesity through regulation of BA signaling and gut microbiota. The data revealed that EGCG effectively reduced diet-increased obesity, visceral fat, and insulin resistance. Gene profiling data showed that EGCG had a significant impact on regulating genes implicated in fatty acid uptake, adipogenesis, and metabolism in the adipose tissue. In addition, metabolomics analysis revealed that EGCG altered the lipid and sugar metabolic pathways. In the intestine, EGCG reduced the FXR agonist chenodeoxycholic acid, as well as the FXR-regulated pathway, suggesting intestinal FXR deactivation. However, in the liver, EGCG increased the concentration of FXR and TGR-5 agonists and their regulated signaling. Furthermore, our data suggested that EGCG activated Takeda G protein receptor (TGR)-5 based on increased GLP-1 release and elevated serum PYY level. EGCG and antibiotics had distinct antibacterial effects. They also differentially altered body weight and BA composition. EGCG, but not antibiotics, increased Verrucomicrobiaceae, under which EGCG promoted intestinal bloom of Akkermansia muciniphila. Excitingly, A. muciniphila was as effective as EGCG in treating diet-induced obesity. Together, EGCG shifts gut microbiota and regulates BA signaling thereby having a metabolic beneficial effect.-Sheng, L., Jena, P. K., Liu, H.-X., Hu, Y., Nagar, N., Bronner, D. N., Settles, M. L., Bäumler, A. J. Wan, Y.-J. Y. Obesity treatment by epigallocatechin-3-gallate-regulated bile acid signaling and its enriched Akkermansia muciniphila.

Indexed as

bile acid receptorcatechingut microbiotaprobioticstea

Identifiers

PMID29882708
PMCPMC6219838
OpenAlexW2807353008

What OpenQuestion holds

Textmetadata
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.