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

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

PMC · DOI: 10.1111/adb.70128 · Addiction Biology · 2026-03-04

## TL;DR

People with both alcohol use disorder and metabolic dysfunction have worse liver health and more psychiatric issues than those with either condition alone.

## Contribution

The study identifies that co-occurring alcohol use disorder and metabolic dysfunction lead to greater liver injury and psychiatric comorbidities.

## Key findings

- Individuals with both alcohol use disorder and metabolic dysfunction had higher liver enzymes and inflammation markers compared to those with either condition alone.
- Psychiatric disorders were most significantly associated with the combination of alcohol use disorder and metabolic dysfunction.
- Greater metabolic dysfunction severity in alcohol use disorder patients was linked to higher liver injury markers and anxiety disorders.

## 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.

This study contributes to understanding the health impacts of co‐occurring alcohol use disorder (AUD) and metabolic dysfunction (MD). Using clinical data from the NIH, individuals with both AUD and MD (metAUD) had the strongest associations with greater hepatic injury and inflammation, a less favorable liver function test profile, higher fibrosis burden, and greater psychiatric comorbidities relative to those with MD alone or AUD alone. These findings highlight the need for targeted research and clinical care for co‐occurring AUD and MD.

## Full-text entities

- **Genes:** ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, SLC17A5 (solute carrier family 17 member 5) [NCBI Gene 26503] {aka AST, ISSD, NSD, SD, SIALIN, SIASD}, GGT1 (gamma-glutamyltransferase 1) [NCBI Gene 2678] {aka CD224, D22S672, D22S732, GGT, GGT 1, GGTD}, GIPR (gastric inhibitory polypeptide receptor) [NCBI Gene 2696] {aka PGQTL2}, GLP1R (glucagon like peptide 1 receptor) [NCBI Gene 2740] {aka GLP-1, GLP-1-R, GLP-1R}, GGTLC5P (gamma-glutamyltransferase light chain 5 pseudogene) [NCBI Gene 653590] {aka GGT}, GGTLC4P (gamma-glutamyltransferase light chain 4 pseudogene) [NCBI Gene 729838] {aka GGT}, GIP (gastric inhibitory polypeptide) [NCBI Gene 2695], GPT (glutamic--pyruvic transaminase) [NCBI Gene 2875] {aka AAT1, ALT, ALT1, GPT1, SGPT}
- **Diseases:** ADD (MESH:D001289), cardiovascular disease (MESH:D002318), mental health disorder (OMIM:603663), hypertension (MESH:D006973), panic disorder (MESH:D016584), hypertriglyceridemia (MESH:D015228), CAP (MESH:C538265), IV (MESH:D006011), hepatic decompensation (MESH:D006333), Depression (MESH:D003866), T2D (MESH:D003924), social anxiety (MESH:D000072861), phobias (MESH:D010698), ALD (MESH:D008108), liver dysfunction (MESH:D017093), heart disease (MESH:D006331), hepatic injury (MESH:D056486), bipolar I (MESH:D001714), cancers (MESH:D009369), Mental Disorders (MESH:D001523), substance use disorders (MESH:D019966), NAFLD (MESH:D065626), Anxiety (MESH:D001007), schizophrenia (MESH:D012559), Liver fibrosis (MESH:D008103), Fibrosis (MESH:D005355), metabolic syndrome (MESH:D024821), FTND (MESH:D014029), inflammation (MESH:D007249), SLD (MESH:D008107), AUD (MESH:D000437), HC (MESH:D000067329), PTSD (MESH:D013313), major depression (MESH:D003865), MD (MESH:D008659), social or specific phobia (MESH:C562465), anxiety disorder (MESH:D001008), SCID (MESH:D053632), obesity (MESH:D009765), DSM) (MESH:D005119), agoraphobia (MESH:D000379), fatty liver disease (MESH:D005234), mood disorder (MESH:D019964), stroke (MESH:D020521), medical (MESH:D000069279)
- **Chemicals:** PCP (MESH:D010622), cocaine (MESH:D003042), nicotine (MESH:D009538), metAUD (-), amphetamines (MESH:D000662), Alcohol (MESH:D000438), glucose (MESH:D005947), lipid (MESH:D008055), bilirubin (MESH:D001663), triglycerides (MESH:D014280)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC12959954/full.md

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Source: https://tomesphere.com/paper/PMC12959954