Evidence map›Paper›PMID 27892411›Full record

SynthesisInternational journal of epidemiology2016

Metabolic signatures of birthweight in 18 288 adolescents and adults.

Peter Würtz, Qin Wang, Marjo Niironen, Tuulia Tynkkynen, Mika Tiainen, Fotios Drenos, Antti J Kangas, Pasi Soininen, Michael R Skilton, Kauko Heikkilä and 14 more

Open access · bronzeAbstract 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 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
13.7field-weighted citation impact, top 1% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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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

24 authors at 12 institutions in 4 countries.

Peter WürtzComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland peter.wurtz@computationalmedicine.fi.
Qin WangComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Marjo NiironenDepartment of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, Finland.
Tuulia TynkkynenComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Mika TiainenComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Fotios DrenosMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Antti J KangasComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Pasi SoininenComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Michael R SkiltonBoden Institute of Obesity, Nutrition, Exercise, and Eating Disorders, University of Sydney, Sydney, NSW, Australia.
Kauko HeikkiläDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Anneli PoutaCenter for Life Course Health Research and Biocenter Oulu, University of Oulu, Oulu, 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.
Richard J RoseDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Eero KajantieDepartment of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, Finland.
Markus PerolaDepartment of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, Finland.
Jaakko KaprioDepartment of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, Finland.
Johan G ErikssonDepartment of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, Finland.
Olli T RaitakariResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Debbie A LawlorMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
George Davey SmithMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Marjo-Riitta JärvelinCenter for Life Course Health Research and Biocenter Oulu, University of Oulu, Oulu, Finland.
Mika Ala-KorpelaComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Kirsi AuroDepartment of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, Finland.
University of Oulu · FIFinnish Institute for Health and Welfare · FIUniversity of Bristol · GBInstitute for Molecular Medicine Finland · FITampere University · FIFinland University · FIImperial College London · GBIndiana University Bloomington · USTurku University Hospital · FIUniversity of Eastern Finland · FIUniversity of Helsinki · FIUniversity of Sydney · AU

Funding

Adolescent Alcohol Abuse: A Twin-Study PerspectiveR01AA012502 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI ROSE, RICHARD JOSEPH · 2013 to 2017
$1.2M
Department of Health NF-SI-0166-10196Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/5NIAAA NIH HHS R01 AA012502Wellcome Trust 102215/2/13/2
6 · The paper itself

Abstract

backgroundLower birthweight is associated with increased susceptibility to cardiometabolic diseases in adulthood, but the underlying molecular pathways are incompletely understood. We examined associations of birthweight with a comprehensive metabolic profile measured in adolescents and adults.

methodsHigh-throughput nuclear magnetic resonance metabolomics and biochemical assays were used to quantify 87 circulating metabolic measures in seven cohorts from Finland and the UK, comprising altogether 18 288 individuals (mean age 26 years, range 15-75). Metabolic associations with birthweight were assessed by linear regression models adjusted for sex, gestational age and age at blood sampling. The metabolic associations with birthweight were compared with the corresponding associations with adult body mass index (BMI).

resultsLower birthweight adjusted for gestational age was adversely associated with cardiometabolic biomarkers, including lipoprotein subclasses, fatty acids, amino acids and markers of inflammation and impaired liver function (P < 0.0015 for 46 measures). Associations were consistent across cohorts with different ages at metabolic profiling, but the magnitudes were weak. The pattern of metabolic deviations associated with lower birthweight resembled the metabolic signature of higher adult BMI (R

conclusionsLower birthweight adjusted for gestational age is associated with adverse biomarker aberrations across multiple metabolic pathways. Coherent metabolic signatures between lower birthweight and higher adult adiposity suggest that shared molecular pathways may potentially underpin the metabolic deviations. However, the magnitudes of metabolic associations with birthweight are modest in comparison to the effects of adiposity, implying that birthweight is only a weak indicator of the metabolic risk profile in adulthood.

Indexed as

AdiposityAdolescentAdultAgedAmino AcidsBiomarkersBody Mass IndexDisease SusceptibilityFatty AcidsFemaleFinlandGestational AgeHigh-Throughput Screening AssaysHumansInfant, Low Birth WeightInfant, NewbornAmino AcidsBiomarkersFatty AcidsLipoproteinsadiposityamino acidsfatty acidsFetal programmingmetabolic signaturesmetabolomics

Identifiers

PMID27892411
PMCPMC5100627
OpenAlexW2554232544

What OpenQuestion holds

Textmetadata
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.