Associations between depressive symptom profiles and immunometabolic characteristics in individuals with depression and their siblings. (7th February 2021)

• Record Type: Journal Article
• Authors: de Kluiver, Hilde; Milaneschi, Yuri; Jansen, Rick; van Sprang, Eleonore D.; Giltay, Erik J.; Hartman, Catharina A.; Penninx, Brenda W. J. H.
• Is Part Of: World journal of biological psychiatry. Volume 22:Number 2(2021)
• Page Start: 128
• Page End: 138
• Publication Date: 2021-02-07
• Subjects: Atypical depression -- siblings -- inflammation -- BMI -- familial resemblance; Biological psychiatry -- Periodicals; Biological Psychiatry -- Periodicals; 616.89
• DOI: 10.1080/15622975.2020.1761562
• Languages: English
• ISSNs: 1562-2975

Abstract

Abstract: Objectives: The present study examined associations between immunometabolic characteristics (IMCs) and depressive symptom profiles (DSPs) in probands with lifetime diagnoses of depression and/or anxiety disorders and their siblings. Methods: Data were from the Netherlands Study of Depression and Anxiety, comprising 256 probands with lifetime diagnoses of depression and/or anxiety and their 380 siblings. Measured IMCs included blood pressure, waist circumference, and levels of glucose, triglycerides, HDL cholesterol, CRP, TNF-α and IL-6. DSPs included mood, cognitive, somatic and atypical-like profiles. We cross-sectionally examined whether DSPs were associated with IMCs within probands and within siblings, and whether DSPs were associated with IMCs between probands and siblings. Results: Within probands and within siblings, higher BMI and waist circumference were associated with higher somatic and atypical-like profiles. Other IMCs (IL-6, glucose and HDL cholesterol) were significantly related to DSPs either within probands or within siblings. DSPs and IMCs were not associated between probands and siblings. Conclusions: The results suggest that there is a familial component for each trait, but no common familial factors for the association between DSPs and IMCs. Alternative mechanisms, such as direct causal effects or non-shared environmental risk factors, may better fit these results.