Evidence map›Paper›PMID 42790683›Full record

ArticleAlcohol (Fayetteville, N.Y.)2026

Regional brain iron, copper, and zinc in alcohol use disorder: Sex-specific differences in human post-mortem tissue.

Byron C Jones, Wenyuan Zhao, Julia Stevens, Greg T Sutherland

Abstract read
In one paragraph

Article in Alcohol (Fayetteville, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Byron C JonesDepartment of Genetics, Genomics, and Informatics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA; Department of Pharmacology, Addiction Science, and Toxicology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA. Electronic address: bjone129@uthsc.edu.
Wenyuan ZhaoDepartment of Genetics, Genomics, and Informatics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
Julia StevensNew South Wales Brain Tissue Resource Centre, Charles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Greg T SutherlandNew South Wales Brain Tissue Resource Centre, Charles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

Funding

Brain Tissue Resource Centre for Alcohol ResearchR28AA012725 · NIAAA · UNIVERSITY OF SYDNEY · PI Greg Trevor Sutherland · 2012 to 2026
$7.0M
Genetics of epigenetic response to high circulating glucocorticoids and organophosphorus compoundsR01ES031656 · NIEHS · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI JONES, BYRON C, OCALLAGHAN, JAMES P · 2021 to 2025
$2.8M
NIAAA NIH HHS R28 AA012725NIEHS NIH HHS R01 ES031656
6 · The paper itself

Abstract

backgroundOne of the risks associated with alcohol use disorder (AUD) is dementia. While the exact pathology is unknown, there is increasing evidence that alcohol consumption may dysregulate iron homeostasis in the brain. Unregulated iron can produce oxidative stress and cellular damage to neurons, including the iron-dependent form of cell death termed ferroptosis. Previous human work has relied on magnetic resonance imaging and quantitative susceptibility mapping, which estimate iron indirectly. We therefore measured iron directly, together with copper and zinc, in three brain regions of donors with and without a diagnosis of AUD.

methodsHippocampus, caudate, and substantia nigra were obtained from the New South Wales Brain Tissue Resource Centre. Tissues came from 40 donors - 20 males and 20 females, half of each with a diagnosis of AUD. Samples were wet-ashed and analysed by total reflection X-ray fluorescence, which quantifies ten elements simultaneously. Data were analysed by two-way analysis of covariance (diagnosis, sex; age as covariate), with simple main effects tested as model contrasts. Because concentrations are expressed per unit wet mass, the seven elements unrelated to the study hypothesis were used as internal reference analytes to screen for common scaling effects.

resultsIn the caudate, iron was elevated in donors with AUD (p = 0.003), an effect confined to women (+47.2 μg g

conclusionsThese data provide direct evidence of regional trace-metal differences associated with a diagnosis of AUD, most robustly an elevation of caudate iron in women. The nigral findings should be interpreted with caution, and the copper finding may reflect hepatic disease rather than alcohol exposure per se. Sex differences in metal handling in the striatum warrant replication in a larger, independently characterised cohort.

Indexed as

Caudate nucleusCopperIronSex differencesSubstantia nigraZinc

Identifiers

PMID42790683
PMCPMC13677124

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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.