Evidence map›Paper›PMID 33672832›Full record

ArticleBiomolecules2021

Serum Acylcarnitines Associated with High Short-Term Mortality in Patients with Alcoholic Hepatitis.

Bei Gao, Josepmaria Argemi, Ramon Bataller, Bernd Schnabl

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 3 institutions in 2 countries.

Bei GaoSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China.ORCID 0000-0002-3321-2339
Josepmaria ArgemiPittsburgh Liver Research Center, Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA 15260, USA.ORCID 0000-0003-1696-7753
Ramon BatallerPittsburgh Liver Research Center, Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA 15260, USA.
Bernd SchnablDepartment of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
University of Pittsburgh Medical Center · USNanjing University of Information Science and Technology · CNUniversity of California San Diego · US

Funding

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
Microbiome and intestinal innate immune response in alcoholic liver diseaseR01AA020703 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SCHNABL, BERND G. · 2011 to 2020
$3.6M
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
NIAAA NIH HHS P50 AA011999NIAAA NIH HHS R01 AA020703NIAAA NIH HHS U01 AA026939NIDDK NIH HHS P30 DK120515
6 · The paper itself

Abstract

Alcohol-related liver disease is one of the most prevalent liver diseases in the United States. Early stages of alcohol-related liver disease are characterized by accumulation of triglycerides in hepatocytes. Alcoholic hepatitis is a severe form of alcohol-related liver disease associated with significant morbidity and mortality. We sought to identify patients who are at greatest risk of death using serum lipids. First, we performed lipidomics analysis on serum samples collected from 118 patients with alcoholic hepatitis to identify lipid markers that are associated with high risk of death. Next, we performed gene set enrichment analysis on liver transcriptomics data to identify dysregulated lipid metabolism in patients who received liver transplantation. Finally, we built a random forest model to predict 30-day mortality using serum lipids. A total of 277 lipids were annotated in the serum of patients with alcoholic hepatitis, among which 25 were significantly different between patients in the deceased and alive groups. Five chemical clusters were significantly altered between the two groups. In particular, acylcarnitine cluster was enriched in the deceased group. Several hepatic lipid metabolism pathways were dysregulated in patients with alcoholic hepatitis who received liver transplantation. The mRNA expression of genes involved in the fatty acid transport into mitochondria and β-oxidation were also dysregulated. When predicting 30-day mortality in alcoholic hepatitis patients using serum lipids, we found that the area under the curve achieved 0.95. Serum lipids such as acylcarnitines may serve as biomarkers to identify alcoholic hepatitis patients at the greatest risk of death.

Indexed as

BiomarkersCarnitineCohort StudiesHepatitis, AlcoholicHumansKaplan-Meier EstimateLipid MetabolismLipidomicsLiverLiver TransplantationRisk FactorsTranscriptomeUnited StatesBiomarkersCarnitineacylcarnitinecarnitine systemlipidomicsrandom forest

Identifiers

PMID33672832
PMCPMC7917657
OpenAlexW3131898516

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.