Evidence map›Paper›PMID 31730017›Full record

ArticleClinical epigenetics2019

Epigenetic age acceleration and metabolic syndrome in the coronary artery risk development in young adults study.

Drew R Nannini, Brian T Joyce, Yinan Zheng, Tao Gao, Lei Liu, Grace Yoon, Tianxiao Huan, Jiantao Ma, David R Jacobs, John T Wilkins and 8 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

53 citing papers in PubMed, 87 citations in OpenAlex.

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  18. Metabolic syndrome and epigenetic aging: a twin study.International journal of obesity (2005) · 2024
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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

18 authors at 7 institutions in 1 country.

Drew R NanniniDepartment of Preventive Medicine and Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL, 60611, USA. drew.nannini1@northwestern.edu.ORCID 0000-0002-2333-7920
Brian T JoyceDepartment of Preventive Medicine and Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL, 60611, USA.
Yinan ZhengDepartment of Preventive Medicine and Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL, 60611, USA.
Tao GaoDepartment of Preventive Medicine and Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL, 60611, USA.
Lei LiuDivision of Biostatistics, Washington University, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
Grace YoonDepartment of Statistics, Texas A&M University, 3143 TAMU, College Station, TX, 77843, USA.
Tianxiao HuanThe National Heart, Lung, and Blood Institute's Framingham Heart Study and Population Sciences Branch, Framingham, MA, USA.
Jiantao MaThe National Heart, Lung, and Blood Institute's Framingham Heart Study and Population Sciences Branch, Framingham, MA, USA.
David R JacobsDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 S 2nd St, Minneapolis, MN, 55454, USA.
John T WilkinsDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL, 60611, USA.
Jim RenDepartment of Preventive Medicine and Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL, 60611, USA.
Kai ZhangDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, 1200 Pressler Street, RAS W606, Houston, TX, 77030, USA.
Sadiya S KhanDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL, 60611, USA.
Norrina Bai AllenDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL, 60611, USA.
Steve HorvathDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Donald M Lloyd-JonesDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL, 60611, USA.
Philip GreenlandDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL, 60611, USA.
Lifang HouDepartment of Preventive Medicine and Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL, 60611, USA.
Northwestern University · USNational Heart Lung and Blood Institute · USTexas A&M University · USThe University of Texas Health Science Center at Houston · USUniversity of California, Los Angeles · USUniversity of Minnesota · USWashington University in St. Louis · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Northwestern University Clinical and Translational Science Institute (NUCATS)KL2TR001424 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SHARMA, LEENA · 2015 to 2023
$8.1M
Dietary factors, biomarkers, metabolic pathways related to non-alcoholic fatty liver diseaseK22HL135075 · NHLBI · TUFTS UNIVERSITY BOSTON · PI MA, JIANTAO · 2019 to 2021
$747k
NCATS NIH HHS UL1 TR001422NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INHLBI NIH HHS K22 HL135075
6 · The paper itself

Abstract

backgroundThe metabolic syndrome (MetS) is a collection of metabolic disturbances that can lead to various cardiovascular diseases. Previous studies have shown a more adverse metabolic risk profile is associated with more advanced biological aging. The associations between epigenetic biomarkers of age with MetS, however, are not well understood. We therefore investigated the associations between epigenetic age acceleration and MetS severity score and incident MetS.

resultsA subset of study participants with available whole blood at examination years 15 and 20 from the Coronary Artery Risk Development in Young Adults Study underwent epigenomic profiling using the Illumina MethylationEPIC Beadchip (~ 850,000 sites). Intrinsic and extrinsic epigenetic age acceleration (IEAA and EEAA) were calculated from DNA methylation levels. The MetS severity score was positively associated with IEAA at years 15 (P = 0.016) and 20 (P = 0.016) and EEAA at year 20 (P = 0.040) in cross-sectional analysis. IEAA at year 20 was significantly associated with incident MetS at year 30 (OR = 1.05 [95% CI 1.01, 1.10], P = 0.028).

conclusionsTo our knowledge, this is the first report of the longitudinal association between epigenetic age acceleration and MetS. These findings suggest that a higher MetS severity score is associated with accelerated epigenetic aging and such aging may play a role in the development of metabolic disorders, potentially serving as a useful biomarker of and early detection tool for future MetS.

Indexed as

DNA MethylationAdolescentAdultAgingCardiovascular DiseasesCross-Sectional StudiesEpigenesis, GeneticEpigenomicsFemaleHumansLongitudinal StudiesMaleMetabolic SyndromeMiddle AgedSeverity of Illness IndexYoung AdultCARDIADNA methylationEpigenetic age accelerationMetabolic syndrome

Identifiers

PMID31730017
PMCPMC6858654
OpenAlexW2987294619

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.