# Networks and clusters of immunometabolic biomarkers and depression-associated features in middle-aged and older community-dwelling US adults with and without depression

**Authors:** Asma Hallab, Sid E. O'Bryant, Sid E. O'Bryant, Kristine Yaffe, Arthur Toga, Robert Rissman, Leigh Johnson, Meredith Braskie, Meredith Braskie, Kevin King, James R. Hall, Melissa Petersen, Raymond Palmer, Robert Barber, Yonggang Shi, Fan Zhang, Rajesh Nandy, Roderick McColl, David Mason, Bradley Christian, Nicole Phillips, Stephanie Large, Joe Lee, Badri Vardarajan, Monica Rivera Mindt, Amrita Cheema, Lisa Barnes, Mark Mapstone, Annie Cohen, Amy Kind, Ozioma Okonkwo, Raul Vintimilla, Zhengyang Zhou, Michael Donohue, Rema Raman, Matthew Borzage, Michelle Mielke, Beau Ances, Ganesh Babulal, Jorge Llibre-Guerra, Carl Hill, Rocky Vig

PMC · DOI: 10.1016/j.bbih.2025.101103 · 2025-09-17

## TL;DR

This study explores how immunometabolic biomarkers are linked to depression features in older adults, aiming to improve risk assessment and treatment strategies.

## Contribution

The study identifies specific immunometabolic clusters and their associations with depression features in multiethnic aging populations.

## Key findings

- IL-6 and HbA1c were significantly associated with anhedonic and melancholic features.
- Abdominal circumference and BMI were significantly associated with anhedonic features.
- In non-depressed individuals, IL-6 and abdominal circumference remained linked to anhedonic features.

## Abstract

Therapy-resistant depression is associated with higher levels of systemic inflammation and increased odds of metabolic disorders. It is, therefore, crucial to identify the biomarkers of high-risk individuals and understand the key features of depression-immunometabolic networks.

The multiethnic ≥50-year-old study population is a subset of the Health and Aging Brain Study: Health Disparities (HABS-HD) study. Spearman's rank correlation network analysis was performed between immunological, metabolic, and subscales of the Geriatric Depression Scale (GDS). Significant correlations were then evaluated using a multivariable linear regression analysis, including testing for non-linearity and clinical cutoffs.

Two clusters were formed: the first included the immunometabolic biomarkers, and the second included the different subscales of GDS. The two clusters were significantly correlated at six edges. IL-6 and HbA1c were significantly correlated with anhedonic and melancholic features. Abdominal circumference and BMI were significantly correlated with anhedonic features. In the subgroup without current depression, IL-6 and Abdominal circumference maintained a significant edge with anhedonic features. TNF-alpha/melancholia and IL-6/cognitive concerns were additional relevant edges in older adults. The observed correlations remained statistically significant in the confounder-adjusted regression analysis and followed specific patterns.

Symptom clustering showed its superiority over relying on dichotomized depression diagnoses for identifying relevant immunometabolic biomarkers. This study is a first step toward understanding the particularities of immunometabolic depression for better risk stratification and to direct personalized preventive and therapeutic strategies in multiethnic aging populations.

Image 1

•IL-6 and HbA1c were significantly associated with anhedonic and melancholic features.•Abdominal circumference and BMI were significantly associated with anhedonic features.•In the subgroup without current depression, IL-6 and Abdominal circumference were correlated with anhedonic features.

IL-6 and HbA1c were significantly associated with anhedonic and melancholic features.

Abdominal circumference and BMI were significantly associated with anhedonic features.

In the subgroup without current depression, IL-6 and Abdominal circumference were correlated with anhedonic features.

## Linked entities

- **Proteins:** IL6 (interleukin 6), TNF (tumor necrosis factor)
- **Diseases:** depression (MONDO:0002050)

## Full-text entities

- **Genes:** IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}
- **Diseases:** metabolic disorders (MESH:D008659), Depression (MESH:D003866), cognitive concerns (MESH:D003072), Health (OMIM:603663), inflammation (MESH:D007249)

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12523063/full.md

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Source: https://tomesphere.com/paper/PMC12523063