ArticleThe Journal of clinical psychiatry2020
An Association Between the Inflammatory Biomarker GlycA and Depressive Symptom Severity.
Article in The Journal of clinical psychiatry, 2020. 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, 14 citations in OpenAlex.
- Uncovering the metabolomic signatures in adolescent depression using a targeted metabolomics approach.BMC psychiatry · 2026Article
- Social Support and Emotional Eating in Adults with Metabolic Dysfunction-Associated Fatty Liver Disease: The Chain Mediation Effects of Weight Self-Stigma and Depression.Journal of multidisciplinary healthcare · 2026Article
- Implicating neuroinflammation in hippocampus, prefrontal cortex and amygdala with cognitive deficit: a narrative review.3 Biotech · 2025Review
- Machine learning-based prediction of anxiety disorders using blood metabolite and social trait data from the UK Biobank.Brain, behavior, & immunity - health · 2025Article
- Glycoprotein acetyls and depression: Testing for directionality and potential causality using longitudinal data and Mendelian randomization analyses.Journal of affective disorders · 2023Article
- Depressive symptoms in non-alcoholic fatty liver disease are identified by perturbed lipid and lipoprotein metabolism.PloS one · 2022Article
- Relationship between novel inflammatory biomarker galectin-3 and depression symptom severity in a large community-based sample.Journal of affective disorders · 2021Article
- Association of depressive symptom severity with coronary artery calcium: The Dallas heart study.Journal of affective disorders · 2020Article
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Authors and funding
6 authors at 1 institution in 1 country.
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Abstract
objectiveThe underlying mechanisms of depression remain unclear; however, current literature suggests a relationship between inflammation and depression. The association between the inflammatory biomarker high-sensitivity C-reactive protein (hs-CRP) and depression has been previously investigated, but the relationship between GlycA, a novel spectroscopic inflammatory biomarker, and depression does not appear to have been examined.
methodsData were obtained from The Dallas Heart Study (DHS, conducted between 2000 and 2002), which consisted of a large community-based sample of Dallas County residents (N = 3,033). Depressive symptom severity was assessed with the Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR). It was hypothesized that the serum GlycA level would be a statistically significant predictor of QIDS-SR scores after control for demographic covariates. Multiple linear regression was used to assess the relationship between GlycA level and QIDS-SR scores. The role of hs-CRP in predicting QIDS-SR scores was also explored.
resultsGlycA level was a statistically significant positive predictor of QIDS-SR score (β = .053, P = .038) with control for sex, age, antidepressant use, ethnicity, smoking status, drinking status, body mass index, and years of education. In a subset of adults with moderate-to-severe depression, GlycA level was not associated with QIDS-SR scores. Additionally, hs-CRP level was not a statistically significant predictor of QIDS-SR scores.
conclusionsThis study found a positive association between the inflammatory biomarker GlycA, but not hs-CRP, and depressive symptom severity in a large multiethnic and multiracial community-based sample. Thus, these results provide the first indication that GlycA may be a potentially useful novel biomarker of depression.
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