Evidence map›Paper›PMID 27494945›Full record

SynthesisInternational journal of epidemiology2016

Metabolic profiling of alcohol consumption in 9778 young adults.

Peter Würtz, Sarah Cook, Qin Wang, Mika Tiainen, Tuulia Tynkkynen, Antti J Kangas, Pasi Soininen, Jaana Laitinen, Jorma Viikari, Mika Kähönen and 10 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in International journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 5 pooled it
–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

75 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  13. Episodic Heavy Drinking and Implications for Steatotic Liver Disease Nomenclature: A National Cross-Sectional Study.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2026
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15 more citing papers are in PubMed but not listed here.

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

20 authors.

Peter WürtzComputational Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland peter.wurtz@computationalmedicine.fi.
Sarah CookDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Qin WangComputational Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Mika TiainenComputational Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Tuulia TynkkynenComputational Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Antti J KangasComputational Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Pasi SoininenComputational Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Jaana LaitinenFinnish Institute of Occupational Health, Helsinki, Finland.
Jorma ViikariDivision of Medicine, University of Turku and Turku University Hospital, Turku, Finland.
Mika KähönenDepartment of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland.
Terho LehtimäkiDepartment of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere, Finland.
Markus PerolaNational Institute for Health and Welfare, Helsinki, Finland.
Stefan BlankenbergDepartment of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland.
Tanja ZellerClinic for General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany.
Satu MännistöNational Institute for Health and Welfare, Helsinki, Finland.
Veikko SalomaaNational Institute for Health and Welfare, Helsinki, Finland.
Marjo-Riitta JärvelinDepartment of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.
Olli T RaitakariResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Mika Ala-KorpelaComputational Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
David A LeonDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Funding

Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/5Wellcome Trust
6 · The paper itself

Abstract

backgroundHigh alcohol consumption is a major cause of morbidity, yet alcohol is associated with both favourable and adverse effects on cardiometabolic risk markers. We aimed to characterize the associations of usual alcohol consumption with a comprehensive systemic metabolite profile in young adults.

methodsCross-sectional associations of alcohol intake with 86 metabolic measures were assessed for 9778 individuals from three population-based cohorts from Finland (age 24-45 years, 52% women). Metabolic changes associated with change in alcohol intake during 6-year follow-up were further examined for 1466 individuals. Alcohol intake was assessed by questionnaires. Circulating lipids, fatty acids and metabolites were quantified by high-throughput nuclear magnetic resonance metabolomics and biochemical assays.

resultsIncreased alcohol intake was associated with cardiometabolic risk markers across multiple metabolic pathways, including higher lipid concentrations in HDL subclasses and smaller LDL particle size, increased proportions of monounsaturated fatty acids and decreased proportion of omega-6 fatty acids, lower concentrations of glutamine and citrate (P < 0.001 for 56 metabolic measures). Many metabolic biomarkers displayed U-shaped associations with alcohol consumption. Results were coherent for men and women, consistent across the three cohorts and similar if adjusting for body mass index, smoking and physical activity. The metabolic changes accompanying change in alcohol intake during follow-up resembled the cross-sectional association pattern (R

conclusionsAlcohol consumption is associated with a complex metabolic signature, including aberrations in multiple biomarkers for elevated cardiometabolic risk. The metabolic signature tracks with long-term changes in alcohol consumption. These results elucidate the double-edged effects of alcohol on cardiovascular risk.

Indexed as

MetabolomeAdultAlcohol DrinkingAmino AcidsBiomarkersBody Mass IndexCross-Sectional StudiesFatty AcidsFemaleFinlandHumansLinear ModelsLipoproteinsMaleMetabolomicsRisk FactorsAmino AcidsBiomarkersFatty AcidsLipoproteinsAlcoholfatty acidsmetabolic profilingmetabolomicsrisk factors

Identifiers

PMID27494945
PMCPMC5100616

What OpenQuestion holds

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LicenceCC BY
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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.