Evidence map›Paper›PMID 39880058›Full record

ArticleAlcohol (Fayetteville, N.Y.)2025

Circulating microRNAs and alcohol consumption in the multiethnic cohort study.

Nicholas Acuna, Song-Yi Park, David V Conti, Mariana C Stern, Anna H Wu, Iona Cheng, Lynne R Wilkens, Xiao-Ou Shu, Veronica Wendy Setiawan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alcohol (Fayetteville, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Nicholas AcunaDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Electronic address: nacuna@usc.edu.
Song-Yi ParkPopulation Sciences in the Pacific Program, University of Hawai'i Cancer Center, Honolulu, HI, USA.
David V ContiDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA; Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Mariana C SternDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.
Anna H WuDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.
Iona ChengDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Lynne R WilkensPopulation Sciences in the Pacific Program, University of Hawai'i Cancer Center, Honolulu, HI, USA.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Veronica Wendy SetiawanDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA; Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Funding

Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Use of Circulating MicroRNAs for Early Detection and Risk Assessment for Pancreatic CancerR01CA227133 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SETIAWAN, VERONICA WENDY, SHU, XIAO-OU · 2019 to 2023
$3.0M
NCI NIH HHS R01 CA227133NCI NIH HHS U01 CA164973
6 · The paper itself

Abstract

Excessive alcohol consumption is a significant public health concern and contributes to liver diseases and cancer. Modifiable lifestyle factors including alcohol consumption can influence circulating microRNAs (miRNAs), which are increasingly used as biomarkers for early disease detection. Yet limited studies have identified miRNAs associated with alcohol intake, particularly in multiethnic populations. We aimed to assess the association of alcohol consumption and circulating miRNAs in the Multiethnic Cohort Study. Participants (N = 917) had alcohol consumption data collected at baseline and miRNA data collected at follow-up. Negative binomial models were used to assess the association between alcohol consumption (continuous and categorical [nondrinkers: 0 g of ethanol/day; light drinkers: <28 g of ethanol/day for men and <14 g of ethanol/day for women; and heavy drinkers: ≥28 g of ethanol/day for men and ≥14 g of ethanol/day for women]) and miRNAs. Stratified analyses also examined categories by sex, race/ethnicity, smoking status, and body mass index. Overall, there were 52% non-drinkers, 37 % light drinkers, and 11 % were heavy drinkers. We did not detect an association of miRNAs with alcohol intake in continuous models after correcting for multiple comparisons. However, we did find an inverse association for light drinkers [incidence rate ratio (IRR) = 0.59, p = 8.21E-04] and heavy drinkers (IRR = 0.44, p = 1.47E-03) compared to nondrinkers for miR-451a. Additionally, miR-320e (IRR = 0.63, p = 1.61E-03) had an inverse association with alcohol intake for light drinkers compared to nondrinkers. Subgroup analysis also suggested there were differences by subgroups, underscoring that miRNAs used to detect chronic diseases may be subgroup specific. When stratified by case-control status, we found that among controls both light and heavy drinkers were associated with miR-451a. We identified an association for light and heavy drinkers with miR-451a and mir-320e, miRNAs associated with cancers and liver diseases, in comparison to nondrinkers.

Indexed as

Alcohol DrinkingCirculating MicroRNAAdultAgedBiomarkersCohort StudiesEthnicityFemaleHumansMaleMiddle AgedBiomarkersCirculating MicroRNAalcohol consumptionepidemiologymicroRNAmiR-320emiR-451amultiethnic population

Identifiers

PMID39880058
PMCPMC11977456

What OpenQuestion holds

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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.