Evidence map›Paper›PMID 27775848›Full record

ArticleHepatology (Baltimore, Md.)2017

Metabolic profiling of fatty liver in young and middle-aged adults: Cross-sectional and prospective analyses of the Young Finns Study.

Jari E Kaikkonen, Peter Würtz, Emmi Suomela, Miia Lehtovirta, Antti J Kangas, Antti Jula, Vera Mikkilä, Jorma S A Viikari, Markus Juonala, Tapani Rönnemaa and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 128 citations in OpenAlex.

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8 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

16 authors at 7 institutions in 2 countries.

Jari E KaikkonenResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Peter WürtzComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Emmi SuomelaResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Miia LehtovirtaResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Antti J KangasComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Antti JulaNational Institute for Health and Welfare, Turku, Finland.
Vera MikkiläResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Jorma S A ViikariDepartment of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland.
Markus JuonalaDepartment of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland.
Tapani RönnemaaDepartment of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland.
Nina Hutri-KähönenDepartment of Pediatrics, Tampere University Hospital and University of Tampere, Tampere, Finland.
Mika KähönenDepartment of Clinical Physiology, Tampere University Hospital and University of Tampere, Tampere, Finland.
Terho LehtimäkiDepartment of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere, Finland.
Pasi SoininenComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Mika Ala-KorpelaComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Olli T RaitakariResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
University of Turku · FIUniversity of Oulu · FITampere University · FITurku University Hospital · FIFinnish Institute for Health and Welfare · FITampere University Hospital · FIUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver is associated with obesity-related metabolic disturbances, but little is known about the metabolic perturbations preceding fatty liver disease. We performed comprehensive metabolic profiling to assess how circulating metabolites, such as lipoprotein lipids, fatty acids, amino acids, and glycolysis-related metabolites, reflect the presence of and future risk for fatty liver in young adults. Sixty-eight lipids and metabolites were quantified by nuclear magnetic resonance metabolomics in the population-based Young Finns Study from serum collected in 2001 (n = 1,575), 2007 (n = 1,509), and 2011 (n = 2,002). Fatty liver was diagnosed by ultrasound in 2011 when participants were aged 34-49 years (19% prevalence). Cross-sectional associations as well as 4-year and 10-year risks for fatty liver were assessed by logistic regression. Metabolites across multiple pathways were strongly associated with the presence of fatty liver (P < 0.0007 for 60 measures in age-adjusted and sex-adjusted cross-sectional analyses). The strongest direct associations were observed for extremely large very-low-density lipoprotein triglycerides (odds ratio [OR] = 4.86 per 1 standard deviation, 95% confidence interval 3.48-6.78), other very-low-density lipoprotein measures, and branched-chain amino acids (e.g., leucine OR = 2.94, 2.51-3.44). Strong inverse associations were observed for high-density lipoprotein measures, e.g., high-density lipoprotein size (OR = 0.36, 0.30-0.42) and several fatty acids including omega-6 (OR = 0.37, 0.32-0.42). The metabolic associations were attenuated but remained significant after adjusting for waist, physical activity, alcohol consumption, and smoking (P < 0.0007). Similar aberrations in the metabolic profile were observed already 10 years before fatty liver diagnosis.

conclusionCirculating lipids, fatty acids, and amino acids reflect fatty liver independently of routine metabolic risk factors; these metabolic aberrations appear to precede the development of fatty liver in young adults. (Hepatology 2017;65:491-500).

Indexed as

AdultAge DistributionBiomarkersCardiovascular DiseasesCross-Sectional StudiesFatty AcidsFemaleFinlandHumansLipoproteins, HDLLipoproteins, VLDLMaleMetabolomicsMiddle AgedNon-alcoholic Fatty Liver DiseasePredictive Value of TestsBiomarkersFatty AcidsLipoproteins, HDLLipoproteins, VLDL

Identifiers

PMID27775848
PMCPMC5299457
OpenAlexW2537269837

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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.