Evidence map›Paper›PMID 34523725›Full record

ArticleAlcoholism, clinical and experimental research2021

Exploring relationships between alcohol consumption, inflammation, and brain structure in a heavy drinking sample.

Hollis C Karoly, Carillon J Skrzynski, Erin N Moe, Angela D Bryan, Kent E Hutchison

Open access · greenAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. MAO-B status in alcohol use disorder: a [Molecular psychiatry · 2026
    Article
  4. Article
  5. Alcohol Consumption and Autoimmune Diseases.International journal of molecular sciences · 2025
    Review
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

5 authors at 2 institutions in 1 country.

Hollis C KarolyInstitute for Cognitive Science, University of Colorado Boulder, Boulder, Colorado, USA.ORCID 0000-0002-1232-1202
Carillon J SkrzynskiDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA.
Erin N MoeDepartment of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Angela D BryanDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA.
Kent E HutchisonInstitute for Cognitive Science, University of Colorado Boulder, Boulder, Colorado, USA.
University of Colorado Boulder · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Rocky Mountain Cannabis Research CenterP50DA056408 · NIDA · UNIVERSITY OF COLORADO DENVER · PI KENT E. HUTCHISON · 2023 to 2026
$14.0M
Dismantling MBRP: Identifying Critical Neuroimmune Mechanisms of ActionR01AA024632 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI HUTCHISON, KENT E. · 2016 to 2020
$3.0M
NIAAA NIH HHS R01 AA024632NIDA NIH HHS P50 DA056408
6 · The paper itself

Abstract

backgroundChronic alcohol consumption is associated with structural brain changes and increased inflammatory signaling throughout the brain and body. Increased inflammation in the brain has been associated with structural damage. Recent studies have also shown that neurofilament light polypeptide (NfL) is released into the systemic circulation following neuronal damage. Although NfL has thus been proposed as a biomarker for neurodegenerative diseases, its connection to alcohol use disorder has not been explored. For this secondary data analysis, we proposed a conceptual model linking alcohol consumption, the pro-inflammatory cytokine IL-6, brain structure, and NfL in heavy drinking participants.

methodsOf the 182 individuals enrolled in this study, 81 participants had usable data on gray matter (GM) thickness and 80 had usable data on white matter (WM) diffusivity. A subset of participants had NfL (n = 78) and IL-6 (n = 117) data. An estimate of GM thickness was extracted from middle frontal brain regions using FreeSurfer. Estimated mean WM diffusivity values were extracted from Tract Based Spatial Statistics. NfL and IL-6 were measured in blood. Regression models were used to test individual linkages in the conceptual model. Based on significant regression results, we created a simplified conceptual model, which we tested using path analysis.

resultsIn regressions, negative relationships emerged between GM and both drinks per drinking day (DPDD) (p = 0.018) and NfL (p = 0.004). A positive relationship emerged between WM diffusivity and DPDD (p = 0.033). IL-6 was not significantly associated with alcohol use, GM or WM. The final path model demonstrated adequate fit to the data and showed significant, negative associations between DPDD and middle frontal gyrus (MFG) thickness, and between MFG thickness and NfL, but the association between DPDD and NfL was not significant.

conclusionsThis is the first study to show that heavy drinking is associated with lower GM thickness and higher WM diffusivity and that lower GM thickness is associated with higher circulating NfL. The analyses also show that the effects of drinking do not involve the pro-inflammatory cytokine IL-6.

Indexed as

AdultAlcohol DrinkingAlcohol-Related DisordersBiomarkersEthanolGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedWhite MatterBiomarkersEthanolalcoholbrain structureinflammationneurofilament light (NfL)neuroimaging

Identifiers

PMID34523725
PMCPMC8642310
OpenAlexW3200549798

What OpenQuestion holds

Textmetadata
LicenceTDM
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.