Evidence map›Paper›PMID 41780539›Full record

ArticleAddiction biology2026

Alcohol Use Disorder With Metabolic Dysfunction Is Associated With Adverse Health Impacts in a United States Clinical Setting.

Alexandra C Wagner, Jeesun Jung, Joshua Reitz, Tyler Perlstein, LaToya Sewell, Melanie L Schwandt, Nancy Diazgranados, Josephin Wagner, Daniel B Rosoff, Falk W Lohoff

Abstract read
In one paragraph

Article in Addiction biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

10 authors.

Alexandra C WagnerSection on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.
Jeesun JungSection on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.
Joshua ReitzSection on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.
Tyler PerlsteinSection on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.
LaToya SewellOffice of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.
Melanie L SchwandtOffice of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.
Nancy DiazgranadosOffice of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.
Josephin WagnerSection on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-8880-5721
Daniel B RosoffSection on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.
Falk W LohoffSection on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-0480-7755

Funding

NIAAA Natural History ZIA-AA000130NIH HHS ZIA-AA000242
6 · The paper itself

Abstract

The combined disease burden of excessive alcohol consumption and metabolic dysfunction (MD) is an escalating global concern. Although it is well established that both factors adversely impact health, the biological characteristics and comorbidities of their overlap remain understudied in the United States. The present study investigated whether concurrent MD and alcohol use disorder (AUD) is associated with worse liver-related and psychiatric health. A total of 1220 participants were recruited through the Natural History Protocol at the National Institutes of Health (NIH) and categorized into the following four groups: healthy controls (HC), individuals with MD (metHC), individuals with current AUD without MD (AUD) and those with both current AUD and MD (metAUD). Sociodemographic and clinical biomarkers, liver injury indices (Fibrosis-4 [FIB-4], LiverRisk, NAFLD fibrosis score [NFS]), liver enzymes and inflammatory markers (GGT, AST, ALT, CRP), liver function tests (albumin, bilirubin, PT-INR), psychiatric and substance use comorbidities as well as current smoking were assessed in the four groups using analysis of covariance (ANCOVA). In addition, the clinical biomarkers were compared across three groups: mild (< 3 MD criteria) and severe (≥ 3) metAUD, as well as AUD only. Liver enzymes, noninvasive liver fibrosis scores and liver function tests showed additive effects across metHC, AUD and metAUD compared to HC, with the largest effects in metAUD for GGT, AST, ALT, CRP, albumin, direct bilirubin, FIB-4, LiverRisk and NFS (p < 0.001). Psychiatric disorders also exhibited the most significant association with metAUD (p < 0.001). Within AUD, greater MD severity was associated with higher GGT, ALT, CRP, NFS and any DSM anxiety disorders (p < 0.05). These findings suggest that MD in the context of AUD is associated with greater liver dysfunction and psychiatric burden, supporting MD-targeted treatment strategies in clinical care for AUD.

Indexed as

AlcoholismMetabolic DiseasesAdultBiomarkersComorbidityFemaleHumansLiver Function TestsMaleMental DisordersMiddle AgedUnited StatesBiomarkersalcohol use disorderliver dysfunctionliver enzymeliver fibrosismetabolic dysfunctionmetabolic syndrome

Identifiers

PMID41780539
PMCPMC12959954

What OpenQuestion holds

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LicenceCC BY
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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.