Evidence map›Paper›PMID 39761818›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

Adipokines and Transitions in Metabolic Health Over Time: The Atherosclerosis Risk In Communities (ARIC) Study.

Bige Ozkan, Sui Zhang, Justin B Echouffo-Tcheugui, Roberta Florido, Vijay Nambi, Erin D Michos, Layla A Abushamat, Kunihiro Matsushita, Gary Gerstenblith, Roger S Blumenthal and 5 more

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. American journal of preventive cardiology · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Review
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

15 authors.

Bige OzkanDivision of Cardiology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0003-2745-1189
Sui ZhangDepartment of Epidemiology and the Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA.ORCID 0000-0001-8279-6353
Justin B Echouffo-TcheuguiDivision of Endocrinology, Diabetes & Metabolism, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0002-8460-1617
Roberta FloridoDivision of Cardiology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0002-5660-4888
Vijay NambiDivision of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-4237-0267
Erin D MichosDivision of Cardiology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0002-5547-5084
Layla A AbushamatSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-4074-881X
Kunihiro MatsushitaDepartment of Epidemiology and the Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA.ORCID 0000-0002-7179-718X
Gary GerstenblithDivision of Cardiology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0001-6046-6812
Roger S BlumenthalDivision of Cardiology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0003-1910-3168
Ron HoogeveenSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0003-2399-4653
Christie M BallantyneDivision of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-6432-1730
Josef CoreshDepartment of Epidemiology and the Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA.ORCID 0000-0002-4598-0669
Elizabeth SelvinDepartment of Epidemiology and the Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA.ORCID 0000-0002-3539-2070
Chiadi E NdumeleDivision of Cardiology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0002-1603-282X

Funding

THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2022 to 2025
$5.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E · 2022 to 2025
$5.0M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2022 to 2025
$4.7M
Research and Mentoring in the Clinical Epidemiology of Cardiovascular Disease and Type 2 DiabetesK24HL152440 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2020 to 2024
$612k
HHS 75N92022D00001HHS 75N92022D00002HHS 75N92022D00003HHS 75N92022D00004HHS 75N92022D00005NHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005NHLBI NIH HHS K24 HL152440NIH HHS
6 · The paper itself

Abstract

contextTransitions in metabolic health status over time are strongly linked to risk for cardiovascular events, particularly among individuals with obesity. Adipokines are proteins with metabolic effects, but their role in transitions in metabolic health status over time is unknown.

objectiveTo evaluate the associations of adiponectin and leptin with metabolic risk transitions over time.

methodsAmong 8423 individuals who attended ARIC Visits 2 (1990-1992) and 4 (1996-1998), we evaluated prospective associations of Visit 2 levels of the adipokines adiponectin and leptin (per 1-SD higher) with 6-year transitions in metabolic health. Metabolic health was categorized as metabolically "healthy" [no metabolic syndrome (MetS) or diabetes], unhealthy (MetS present) without diabetes, or unhealthy with diabetes. Analyses were performed overall and stratified by obesity [body mass index (BMI) ≥ 30 kg/m2].

resultsAt Visit 2, the mean age was 58, with 56% female and 21% Black adults. Adults with 1-SD higher adiponectin were less likely to progress from metabolically healthy to unhealthy status over 6 years [odds ratio (OR) 0.53, 95% confidence interval (CI): 0.48-0.57], while those with higher leptin were more likely to progress (OR 2.22, 95% CI: 2.01-2.47). Conversely, those with 1-SD higher adiponectin were more likely to regress from metabolically unhealthy to healthy status (OR 1.58, 95% CI: 1.42-1.76), while those with higher leptin were less likely to regress (OR 0.68, 95% CI: 0.60-0.78). Similar patterns were seen across obesity strata. After adjustment for BMI, associations of adiponectin with metabolic transitions were similar, whereas associations for leptin were significantly attenuated.

conclusionLeptin and adiponectin are differentially linked to the likelihood of worsening and improving metabolic health over time. Adipokines should be explored as targets to improve metabolic health and decrease the risk of future cardiovascular events.

Indexed as

AdipokinesAdiponectinAtherosclerosisLeptinMetabolic SyndromeObesityAgedBiomarkersBody Mass IndexFemaleFollow-Up StudiesHealth StatusHumansMaleMiddle AgedProspective StudiesAdipokinesAdiponectinADIPOQ protein, humanBiomarkersLEP protein, humanLeptinadipokinesadiponectindiabetesleptinmetabolic syndromeregression

Identifiers

PMID39761818
PMCPMC12342374

What OpenQuestion holds

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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.