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American Heart Association

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Final ID: MP2200

Depression Severity is Associated Longitudinally with a Metabolic Profile Related to Psychological Distress and Cardiometabolic Risk

Abstract Body (Do not enter title and authors here): Introduction
Metabolic dysregulation is posited to underlie observed links between chronic distress and higher cardiometabolic disease risk. We recently identified a plasma metabolite-based distress score (MDS) related to prevalent depression and associated with increased risk of incident diabetes and cardiovascular disease.

This study leverages repeated metabolomics measures in an ongoing cohort of women to assess the longitudinal relationship between depression and MDS.

Hypotheses
We hypothesized that (1) depression at baseline is associated with greater increase in MDS over follow-up and (2) more severe distress is associated longitudinally with higher MDS.

Methods
This is a secondary analysis with participants drawn from a harmonized data source of nested case-control studies within the Nurses’ Health Study (N=1152). White women with metabolomics data, depression measured by the Mental Health Inventory (MHI-5), and covariate data at baseline (1990) and follow-up (2000) were included. Women who developed major health conditions within two years of blood draws were excluded. To test if baseline depression status (MHI-5 ≤ 52) was associated with changes in the MDS, we performed multiple linear regression analyses (H1). To assess if depression severity (continuous MHI-5 score) was associated with MDS levels longitudinally, we fitted linear mixed models with random individual intercepts (H2). Both analyses adjusted for potential confounders incrementally in nested models: (1) baseline MDS and matching factors, (2) medical covariates, and (3) biobehavioral covariates.

Results
At baseline, the average age was 56 (sd = 7), 53 women (4.6%) had severe depression, and mean MDS (scaled to sd = 1) was -0.064, increasing to -0.026 at follow-up.

After adjusting for all relevant covariates, severe depression at baseline was associated with larger increases in MDS (β=0.29, 95% CI [0.05, 0.53]). A one-point increase in MHI-5 (i.e., less severe depressive symptoms) was linked to lower MDS levels (-0.004, [-0.007, -0.0004]).

Conclusions
We establish novel longitudinal explorations revealing that depression severity is associated with increased MDS. Depression earlier in life could potentially lead to adverse longitudinal changes of metabolic profiles linked to cardiometabolic health over the course of ten years, which may have important implications for screening and managing cardiometabolic health in individuals with psychological distress.
  • Kristal, Rebekah  ( University of Massachusetts Amherst School of Public Health and Health Sciences , Amherst , Massachusetts , United States )
  • Zhu, Yiwen  ( Harvard T.H. Chan School of Public Health , Boston , Massachusetts , United States )
  • Huang, Tianyi  ( Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging , Baltimore , Maryland , United States )
  • Clish, Clary  ( Broad Institute of MIT and Harvard , Cambridge , Massachusetts , United States )
  • Avila-pacheco, Julian  ( Broad Institute of MIT and Harvard , Cambridge , Massachusetts , United States )
  • Zeleznik, Oana  ( Harvard Medical School , Boston , Massachusetts , United States )
  • Balasubramanian, Raji  ( University of Massachusetts Amherst School of Public Health and Health Sciences , Amherst , Massachusetts , United States )
  • Kubzansky, Laura  ( Harvard T.H. Chan School of Public Health , Boston , Massachusetts , United States )
  • Hankinson, Susan  ( University of Massachusetts Amherst School of Public Health and Health Sciences , Amherst , Massachusetts , United States )
  • Author Disclosures:
    Rebekah Kristal: DO NOT have relevant financial relationships | Yiwen Zhu: DO NOT have relevant financial relationships | Tianyi Huang: No Answer | Clary Clish: DO NOT have relevant financial relationships | Julian Avila-Pacheco: DO NOT have relevant financial relationships | Oana Zeleznik: No Answer | Raji Balasubramanian: DO NOT have relevant financial relationships | Laura Kubzansky: DO NOT have relevant financial relationships | Susan Hankinson: No Answer
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:

Next-Generation Risk Prediction: Leveraging Biomarkers and Omics for Precision Health

Monday, 11/10/2025 , 01:45PM - 02:55PM

Moderated Digital Poster Session

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