Evidence map›Paper›PMID 30785999›Full record

ArticleThe Journal of clinical endocrinology and metabolism2019

Epigenetic Age Acceleration in Adolescence Associates With BMI, Inflammation, and Risk Score for Middle Age Cardiovascular Disease.

Rae-Chi Huang, Karen A Lillycrop, Lawrence J Beilin, Keith M Godfrey, Denise Anderson, Trevor A Mori, Sebastian Rauschert, Jeffrey M Craig, Wendy H Oddy, Oyekoya T Ayonrinde and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 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

13 authors at 6 institutions in 2 countries.

Rae-Chi HuangTelethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia.
Karen A LillycropUniversity of Southampton, Southampton, United Kingdom.
Lawrence J BeilinMedical School, University of Western Australia, Perth, Western Australia Australia.
Keith M GodfreyMedical School, University of Western Australia, Perth, Western Australia Australia.
Denise AndersonTelethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia.
Trevor A MoriMedical School, University of Western Australia, Perth, Western Australia Australia.
Sebastian RauschertTelethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia.
Jeffrey M CraigCentre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Victoria, Australia.
Wendy H OddyMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Oyekoya T AyonrindeMedical School, University of Western Australia, Perth, Western Australia Australia.
Craig E PennellSchool of Medicine and Public Health, Faculty of Medicine and Health, University of Newcastle, Callaghan, New South Wales, Australia.
Joanna D HolbrookUniversity of Southampton, Southampton, United Kingdom.
Phillip E MeltonCurtin/UWA Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, University of Western Australia, Crawley, Western Australia, Australia.
The University of Western Australia · AUThe Kids Research Institute Australia · AUUniversity of Southampton · GBRoyal Children's Hospital · AUUniversity of Newcastle Australia · AUUniversity of Tasmania · AU

Funding

British Heart Foundation PG/14/33/30827British Heart Foundation RG/15/17/31749Medical Research Council MC_U147574222Medical Research Council MC_U147574226Medical Research Council MC_UP_A620_1017Medical Research Council MC_UU_12011/4Medical Research Council MR/J000094/1
6 · The paper itself

Abstract

context"Accelerated aging," assessed by adult DNA methylation, predicts cardiovascular disease (CVD). Adolescent accelerated aging might predict CVD earlier. We investigated whether epigenetic age acceleration (assessed age, 17 years) was associated with adiposity/CVD risk measured (ages 17, 20, and 22 years) and projected CVD by middle age.

designDNA methylation measured in peripheral blood provided two estimates of epigenetic age acceleration: intrinsic (IEAA; preserved across cell types) and extrinsic (EEAA; dependent on cell admixture and methylation levels within each cell type). Adiposity was assessed by anthropometry, ultrasound, and dual-energy x-ray absorptiometry (ages 17, 20, and 22 years). CVD risk factors [lipids, homeostatic model assessment of insulin resistance (HOMA-IR), blood pressure, inflammatory markers] were assessed at age 17 years. CVD development by age 47 years was calculated by Framingham algorithms. Results are presented as regression coefficients per 5-year epigenetic age acceleration (IEAA/EEAA) for adiposity, CVD risk factors, and CVD development.

resultsIn 995 participants (49.6% female; age, 17.3 ± 0.6 years), EEAA (per 5 years) was associated with increased body mass index (BMI) of 2.4% (95% CI, 1.2% to 3.6%) and 2.4% (0.8% to 3.9%) at 17 and 22 years, respectively. EEAA was associated with increases of 23% (3% to 33%) in high-sensitivity C-reactive protein, 10% (4% to 17%) in interferon-γ-inducible protein of 10 kDa, and 4% (2% to 6%) in soluble TNF receptor 2, adjusted for BMI and HOMA-IR. EEAA (per 5 years) results in a 4% increase in hard endpoints of CVD by 47 years of age and a 3% increase, after adjustment for conventional risk factors.

conclusionsAccelerated epigenetic age in adolescence was associated with inflammation, BMI measured 5 years later, and probability of middle age CVD. Irrespective of whether this is cause or effect, assessing epigenetic age might refine disease prediction.

Indexed as

DNA MethylationAbsorptiometry, PhotonAdiponectinAdolescentAgingAging, PrematureAlgorithmsBlood PressureBody CompositionBody Mass IndexCardiovascular DiseasesChemokine CXCL10Cholesterol, HDLCholesterol, LDLC-Reactive ProteinEpigenesis, GeneticAdiponectinChemokine CXCL10Cholesterol, HDLCholesterol, LDLCKGGRAKDC-GG-D(KLAKLAK)2C-Reactive ProteinIntercellular Signaling Peptides and ProteinsInterleukin-18LeptinReceptors, Tumor Necrosis Factor, Type II

Identifiers

PMID30785999
PMCPMC6555851
OpenAlexW2917879239

What OpenQuestion holds

Textmetadata
LicenceTDM
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.