Evidence map›Paper›PMID 23820610›Full record

ArticleTranslational psychiatry2013

Alcohol-induced metabolomic differences in humans.

M Jaremek, Z Yu, M Mangino, K Mittelstrass, C Prehn, P Singmann, T Xu, N Dahmen, K M Weinberger, K Suhre and 7 more

Open access · goldAbstract readTwin Study
In one paragraph

Article in Translational psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 114 citations in OpenAlex.

  1. Metabolic profiling of alcohol consumption in 9778 young adults.International journal of epidemiology · 2016
    Pooled it
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  7. Serum Metabolite Profile in Progressive Versus Nonprogressive Alcohol-Related Liver Disease: A Cross-Sectional Metabolomics Study.Liver international : official journal of the International Association for the Study of the Liver · 2025
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  19. Metabolic Signatures of Healthy Lifestyle Patterns and Colorectal Cancer Risk in a European Cohort.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022
    Article
  20. 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

17 authors at 7 institutions in 4 countries.

M JaremekResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
Z Yu
M Mangino
K Mittelstrass
C Prehn
P Singmann
T Xu
N Dahmen
K M Weinberger
K Suhre
A Peters
A Döring
H Hauner
J Adamski
T Illig
T D Spector
R Wang-Sattler
Helmholtz Zentrum München · DEKing's College London · GBBiocrates Life Sciences (Austria) · ATFresenius (Germany) · DEMedizinische Hochschule Hannover · DEUMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik · ATUniversity Medical Centre Mannheim · DE

Funding

Wellcome Trust
6 · The paper itself

Abstract

Alcohol consumption is one of the world's major risk factors for disease development. But underlying mechanisms by which moderate-to-heavy alcohol intake causes damage are poorly understood and biomarkers are sub-optimal. Here, we investigated metabolite concentration differences in relation to alcohol intake in 2090 individuals of the KORA F4 and replicated results in 261 KORA F3 and up to 629 females of the TwinsUK adult bioresource. Using logistic regression analysis adjusted for age, body mass index, smoking, high-density lipoproteins and triglycerides, we identified 40/18 significant metabolites in males/females with P-values <3.8E-04 (Bonferroni corrected) that differed in concentrations between moderate-to-heavy drinkers (MHD) and light drinkers (LD) in the KORA F4 study. We further identified specific profiles of the 10/5 metabolites in males/females that clearly separated LD from MHD in the KORA F4 cohort. For those metabolites, the respective area under the receiver operating characteristic curves were 0.812/0.679, respectively, thus providing moderate-to-high sensitivity and specificity for the discrimination of LD to MHD. A number of alcohol-related metabolites could be replicated in the KORA F3 and TwinsUK studies. Our data suggests that metabolomic profiles based on diacylphosphatidylcholines, lysophosphatidylcholines, ether lipids and sphingolipids form a new class of biomarkers for excess alcohol intake and have potential for future epidemiological and clinical studies.

Indexed as

MetabolomicsAdultAgedAge FactorsAlcohol DrinkingBody Mass IndexFemaleHumansLogistic ModelsMaleMiddle AgedRegistriesSex FactorsYoung Adult

Identifiers

PMID23820610
PMCPMC3731787
OpenAlexW2063583759

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.