Evidence map›Paper›PMID 32766476›Full record

ArticleHepatology communications2020

Functional Microbiomics Reveals Alterations of the Gut Microbiome and Host Co-Metabolism in Patients With Alcoholic Hepatitis.

Bei Gao, Yi Duan, Sonja Lang, Dinesh Barupal, Tsung-Chin Wu, Luis Valdiviez, Bryan Roberts, Ying Yng Choy, Tong Shen, Gregory Byram and 17 more

Open access · goldAbstract read
In one paragraph

Article in Hepatology communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. A Pilot Study of the Gut Microbiota in Spine Fusion Surgery Patients.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Serum metabolomic analysis in cirrhotic alcohol-associated liver disease patients identified differentially altered microbial metabolites and novel potential biomarkers for disease severity.Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver · 2024
    Article
  16. Review
  17. Probiotics, prebiotics, and synbiotics in nonalcoholic fatty liver disease and alcohol-associated liver disease.American journal of physiology. Gastrointestinal and liver physiology · 2023
    Review
  18. Article
  19. Article
  20. Article
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

27 authors at 8 institutions in 4 countries.

Bei GaoDepartment of Medicine University of California San Diego La Jolla CA.
Yi DuanDepartment of Medicine University of California San Diego La Jolla CA.ORCID https://orcid.org/0000-0002-6229-9461
Sonja LangDepartment of Medicine University of California San Diego La Jolla CA.
Dinesh BarupalWest Coast Metabolomics Center University of California Davis Davis CA.
Tsung-Chin WuDivision of Mathematics University of California San Diego San Diego CA.
Luis ValdiviezWest Coast Metabolomics Center University of California Davis Davis CA.
Bryan RobertsWest Coast Metabolomics Center University of California Davis Davis CA.
Ying Yng ChoyWest Coast Metabolomics Center University of California Davis Davis CA.
Tong ShenWest Coast Metabolomics Center University of California Davis Davis CA.
Gregory ByramWest Coast Metabolomics Center University of California Davis Davis CA.
Ying ZhangWest Coast Metabolomics Center University of California Davis Davis CA.
Sili FanWest Coast Metabolomics Center University of California Davis Davis CA.
Benjamin WancewiczDepartment of Cell and Regenerative Biology University of Wisconsin-Madison Madison WI.
Yan ShaoHost-Microbiota Interactions Laboratory Wellcome Sanger Institute Wellcome Genome Campus Hinxton United Kingdom.ORCID https://orcid.org/0000-0002-8662-0504
Kevin VervierHost-Microbiota Interactions Laboratory Wellcome Sanger Institute Wellcome Genome Campus Hinxton United Kingdom.
Yanhan WangDepartment of Medicine University of California San Diego La Jolla CA.
Rongrong ZhouDepartment of Medicine University of California San Diego La Jolla CA.
Lu JiangDepartment of Medicine University of California San Diego La Jolla CA.
Shilpa NathDepartment of Medicine University of California San Diego La Jolla CA.
Rohit LoombaDepartment of Medicine University of California San Diego La Jolla CA.
Juan G AbraldesDepartment of Medicine University of Alberta Edmonton AB Canada.
Ramon BatallerDivision of Gastroenterology, Hepatology and Nutrition Department of Medicine Pittsburgh Liver Research Center University of Pittsburgh Medical Center Pittsburgh PA.ORCID https://orcid.org/0000-0002-1119-7799
Xin M TuDepartment of Biostatistics and Bioinformatics Department of Family Medicine and Public Health University of California San Diego San Diego CA.
Peter StärkelSt. Luc University Hospital Université Catholique de Louvain Brussels Belgium.
Trevor D LawleyHost-Microbiota Interactions Laboratory Wellcome Sanger Institute Wellcome Genome Campus Hinxton United Kingdom.
Oliver FiehnWest Coast Metabolomics Center University of California Davis Davis CA.
Bernd SchnablDepartment of Medicine University of California San Diego La Jolla CA.
University of California San Diego · USUniversity of California, Davis · USWellcome Sanger Institute · GBUCLouvain · BEUniversity of Alberta · CAUniversity of Pittsburgh Medical Center · USUniversity of San Diego · USUniversity of Wisconsin System · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
Yeast Genetics and Stress Response Genes-BiomedicalP42ES010337 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TUKEY, ROBERT H · 2000 to 2022
$69.8M
The Southernearch Center for ALPD and CirrhosisP50AA011999 · NIAAA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ANNA S. GUKOVSKAYA · 1999 to 2026
$45.8M
San Diego Digestive Diseases Research CenterP30DK120515 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Bernd G. Schnabl · 2019 to 2026
$10.8M
The Role of the Intestinal Mycobiome in Alcoholic Liver DiseaseR01AA024726 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Bernd G. Schnabl · 2018 to 2026
$3.9M
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
Microbiome as therapeutic target in alcoholic hepatitisU01AA026939 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FOUTS, DERRICK E, SCHNABL, BERND G. · 2018 to 2022
$1.7M
BLRD VA I01 BX004594NCATS NIH HHS UL1 TR001442NIAAA NIH HHS P50 AA011999NIAAA NIH HHS R01 AA024726NIAAA NIH HHS U01 AA026939NIDDK NIH HHS P30 DK120515NIDDK NIH HHS R01 DK106419NIEHS NIH HHS P42 ES010337Wellcome Trust
6 · The paper itself

Abstract

Alcohol-related liver disease is a major public health burden, and the gut microbiota is an important contributor to disease pathogenesis. The aim of the present study is to characterize functional alterations of the gut microbiota and test their performance for short-term mortality prediction in patients with alcoholic hepatitis. We integrated shotgun metagenomics with untargeted metabolomics to investigate functional alterations of the gut microbiota and host co-metabolism in a multicenter cohort of patients with alcoholic hepatitis. Profound changes were found in the gut microbial composition, functional metagenome, serum, and fecal metabolomes in patients with alcoholic hepatitis compared with nonalcoholic controls. We demonstrate that in comparison with single omics alone, the performance to predict 30-day mortality was improved when combining microbial pathways with respective serum metabolites in patients with alcoholic hepatitis. The area under the receiver operating curve was higher than 0.85 for the tryptophan, isoleucine, and methionine pathways as predictors for 30-day mortality, but achieved 0.989 for using the urea cycle pathway in combination with serum urea, with a bias-corrected prediction error of 0.083 when using leave-one-out cross validation.

Identifiers

PMID32766476
PMCPMC7395072
OpenAlexW3035934021

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.