Abstract 031: Associations of Adipokines with 6-Year Progression of Cardiovascular-Kidney-Metabolic Syndrome: The Atherosclerosis Risk in Communities (ARIC) Study

E Ebenezer Aryee (Johns Hopkins University, Baltimore, Maryland, United States) A Amelia Wallace (JH Bloomberg Sch. of Public Health, Baltimore, Maryland, United States) S Sui Zhang (Department of Chemical and Biomolecular Engineering) B Bige Ozkan (Johns Hopkins University, Baltimore, Maryland, United States) L Layla Abushamat (Baylor College of Medicine, Houston, Texas, United States) V Vijay Nambi J Justin Echouffo (Johns Hopkins Hospital, Baltimore, Maryland, United States) R Roger Blumenthal (Johns Hopkins University School of Medicine, Baltimore, Maryland, United States) K Kunihiro Matsushita (Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (K.M.).) E Elizabeth Selvin (Johns Hopkins Bloomberg School of Public Health, Baltimore) C Christie Ballantyne (BAYLOR COLLEGE MEDICINE, Houston, Texas, United States) J Joe Coresh (New York University Grossman School of Medicine, New York, New York, United States) C Chiadi Ndumele (JOHNS HOPKINS HOSPITAL, Silver Spring, Maryland, United States)

Abstract

Background: Adipose tissue and its signaling molecules are central to cardiovascular-kidney-metabolic (CKM) syndrome development. High levels of pro-inflammatory adipokines and low levels of anti-inflammatory adipokines have been linked with worsening metabolic health and increased cardiovascular disease (CVD) risk. However, there have not yet been investigations of how adipokines relate to changes in CKM health over time. Methods: We examined 7695 White and Black ARIC participants without baseline CVD and with adipokine measurements and data required to assess CKM stage at both Visits 2 (1990-92) and 4 (1996-98), an approximate 6-year interval. CKM stage was defined as stage 0: no CKM risk factors; stage 1: excess/dysfunctional adiposity; stage 2: metabolic risk factors (hypertension, diabetes, metabolic syndrome, hypertriglyceridemia) and/or moderate to high risk chronic kidney disease (CKD); stage 3: ≥ 20% predicted CVD risk using the PREVENT calculator or very high risk CKD, and stage 4: overt CVD overlapping with CKM risk factors. Among those in CKM stages 0-3 at Visit 2 (baseline), we used logistic regression to evaluate the associations of higher levels of adiponectin, leptin, and resistin at Visit 2 (modeled per 1-SD and according to tertiles) with the odds of progression to a higher CKM stage by Visit 4. Results: The mean age was 57 years (56% female, 79% White). At baseline, 6% had stage 0 CKM syndrome, 24% had stage 1 CKM syndrome, 68% had stage 2 CKM syndrome, and 2% had stage 3 CKM syndrome. Overall, 33% of participants progressed to a worse CKM stage during the 6 years of follow-up. After adjustment for sociodemographics, lifestyle factors, and CKM stage at baseline, higher adiponectin (per 1-SD) was associated with 24% lower odds of progressing to a worse CKM stage (OR 0.76, 95% CI[0.71, 0.81]). Conversely, higher leptin and resistin (per 1-SD) were associated with 29% (OR 1.29, 95% CI[1.19, 1.39]) and 9% (OR 1.09, 95% CI[1.03, 1.15] higher odds of CKM stage progression, respectively. Graded associations with similar directionality as those described were seen when baseline adipokine levels were modeled in tertiles (Table). Conclusion: Adipokines are significantly associated with CKM syndrome progression. These proteins may help to inform the prediction and prevention of a worsening trajectory of CKM syndrome over time.

Article Details

Journal Circulation
Volume / Issue Vol. 151, Issue Suppl_1
Published March 11, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (13)

E

Ebenezer Aryee

Johns Hopkins University, Baltimore, Maryland, United States

A

Amelia Wallace

JH Bloomberg Sch. of Public Health, Baltimore, Maryland, United States

S

Sui Zhang

Department of Chemical and Biomolecular Engineering

B

Bige Ozkan

Johns Hopkins University, Baltimore, Maryland, United States

L

Layla Abushamat

Baylor College of Medicine, Houston, Texas, United States

V

Vijay Nambi

J

Justin Echouffo

Johns Hopkins Hospital, Baltimore, Maryland, United States

R

Roger Blumenthal

Johns Hopkins University School of Medicine, Baltimore, Maryland, United States

K

Kunihiro Matsushita

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (K.M.).

E

Elizabeth Selvin

Johns Hopkins Bloomberg School of Public Health, Baltimore

C

Christie Ballantyne

BAYLOR COLLEGE MEDICINE, Houston, Texas, United States

J

Joe Coresh

New York University Grossman School of Medicine, New York, New York, United States

C

Chiadi Ndumele

JOHNS HOPKINS HOSPITAL, Silver Spring, Maryland, United States