A Plasma Metabolite Score Related to Psychological Distress and Diabetes Risk : A Nested Case-control Study in US Women

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CONTEXT: Psychological distress has been linked to diabetes risk. Few population-based, epidemiologic studies have investigated the potential molecular mechanisms (e.g., metabolic dysregulation) underlying this association.

OBJECTIVE: To evaluate the association between a metabolomic signature for psychological distress and diabetes risk.

METHODS: We conducted a nested case-control study of plasma metabolomics and diabetes risk in the Nurses' Health Study, including 728 women (mean age: 55.2 years) with incident diabetes and 728 matched controls. Blood samples were collected between 1989-1990 and incident diabetes was diagnosed between 1992-2008. Based on our prior work, we calculated a weighted plasma metabolite-based distress score (MDS) comprised of 19 metabolites. We used conditional logistic regression accounting for matching factors and other diabetes risk factors to estimate odds ratios (OR) and 95% CI for diabetes risk according to MDS.

RESULTS: After adjusting for sociodemographic factors, family history of diabetes, and health behaviors, the OR (95% CI) for diabetes risk across quintiles of the MDS was 1.00 (reference) for Q1, 1.16 (0.77, 1.73) for Q2, 1.30 (0.88, 1.91) for Q3, 1.99 (1.36, 2.92) for Q4, and 2.47 (1.66, 3.67) for Q5. Each SD increase in MDS was associated with 36% higher diabetes risk (95% CI: 1.21, 1.54; p-trend<0.0001). This association was moderately attenuated after additional adjustment for BMI (comparable OR: 1.17; 95% CI: 1.02, 1.35; p-trend=0.02). The MDS explained 17.6% of the association between self-reported psychological distress (defined as presence of depression or anxiety symptoms) and diabetes risk (p=0.04).

CONCLUSIONS: MDS was significantly associated with diabetes risk in women. These results suggest that differences in multiple lipid and amino acid metabolites may underlie the observed association between psychological distress and diabetes risk.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - year:2023

Enthalten in:

The Journal of clinical endocrinology and metabolism - (2023) vom: 13. Dez.

Sprache:

Englisch

Beteiligte Personen:

Huang, Tianyi [VerfasserIn]
Zhu, Yiwen [VerfasserIn]
Shutta, Katherine H [VerfasserIn]
Balasubramanian, Raji [VerfasserIn]
Zeleznik, Oana A [VerfasserIn]
Rexrode, Kathryn M [VerfasserIn]
Clish, Clary B [VerfasserIn]
Sun, Qi [VerfasserIn]
Hu, Frank B [VerfasserIn]
Kubzansky, Laura D [VerfasserIn]
Hankinson, Susan E [VerfasserIn]

Links:

Volltext

Themen:

Anxiety
Depression
Diabetes Mellitus
Female
Journal Article
Metabolomics
Middle Aged
Type 2

Anmerkungen:

Date Revised 13.12.2023

published: Print-Electronic

Citation Status Publisher

doi:

10.1210/clinem/dgad731

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM365830771