ArticleTranslational psychiatry2025
Associations between biomarkers of inflammation and depressive symptoms-potential differences between diabetes types and symptom clusters of depression.
Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Age-Specific Association Between the Dietary Inflammatory Index and Depression Among Patients With Chronic Kidney Disease.Food science & nutrition · 2026Article
- Ketamine in Diabetes Care: Metabolic Insights and Clinical Applications.Pharmaceutics · 2026Review
- Networks and clusters of immunometabolic biomarkers and depression-associated features in middle-aged and older community-dwelling US adults with and without depression.Brain, behavior, & immunity - health · 2025Article
- Systemic Inflammation at the Crossroad of Major Depressive Disorder and Comorbidities: A Narrative Review.International journal of molecular sciences · 2025Review
- NLRP3 Inflammasome in Stress-Related Neuropsychiatric Disorders: Mechanisms of Neuron-Microglia-Astrocyte Crosstalk, HPA Axis Dysregulation, and Therapeutic Perspective.Biomolecules · 2025Review
- Biomarkers of inflammation and improvement in depressive symptoms in type 1 and type 2 diabetes: differential associations with depressive symptom clusters.Diabetologia · 2025Article
- Breaking the diabetes-depression cycle: Exploring shared mechanisms, neuroinflammation, and emerging interventions for metabolic-mood comorbidities.World journal of diabetes · 2025Article
- Hydroalcoholic Extract ofIranian journal of pharmaceutical research : IJPRArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Inflammation is a probable biological pathway underlying the relationship between diabetes and depression, but data on differences between diabetes types and symptom clusters of depression are scarce. Therefore, this cross-sectional study aimed to compare associations of a multimarker panel of biomarkers of inflammation with depressive symptoms and its symptom clusters between people with type 1 diabetes (T1D) and type 2 diabetes (T2D). This cross-sectional study combined data from five studies including 1260 participants (n = 706 T1D, n = 454 T2D). Depressive symptoms were assessed using the Center for Epidemiological Studies-Depression Scale (CES-D). Serum levels of 92 biomarkers of inflammation were quantified with proximity extension assay technology. After quality control, 76 biomarkers of inflammation remained for statistical analysis. Associations between biomarkers and depressive symptom scores and clusters (cognitive-affective, somatic, anhedonia) were estimated with multivariable linear regression models. Nine biomarkers were positively associated with depressive symptoms in the total sample (CCL11/eotaxin, CCL25, CDCP1, FGF-21, IL-8, IL-10RB, IL-18, MMP-10, TNFRSF9; all p < 0.05) without interaction by diabetes type. Associations differed for eight biomarkers (p
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.