Relationship between novel inflammatory biomarker galectin-3 and depression symptom severity in a large community-based sample
| Autor: | Jay B. Italiya, Jenny S. Tan, Damilola C. Salako, Hunter K. Neely, Arielle E. Rubin, Carol S. North, Darlene R. King, Matthew Faubion, Kaylee Davis-Bordovsky, Justin L. Grodin, E. Sherwood Brown, Jayme M. Palka, Dimitri G. Macris, Samia Kate Arthur-Bentil |
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| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Galectin 3 Severity of Illness Index Article 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Diabetes mellitus Internal medicine medicine Humans Stroke Depression (differential diagnoses) Psychiatric Status Rating Scales Depressive Disorder Major Creatinine Depression business.industry medicine.disease 030227 psychiatry Psychiatry and Mental health Clinical Psychology chemistry Heart failure Major depressive disorder Biomarker (medicine) Female business Body mass index Biomarkers 030217 neurology & neurosurgery |
| Zdroj: | J Affect Disord |
| ISSN: | 0165-0327 |
| DOI: | 10.1016/j.jad.2020.12.050 |
| Popis: | Major depressive disorder is associated with pro-inflammatory markers, such as cytokines TNF-alpha, IL-6, IL-1s, and C-reactive protein. Galectin-3 is a novel emerging biomarker with pro-inflammatory properties. It is a saccharide binding protein distributed throughout many tissues with varying functions and is a predictor of poor outcomes in patients with heart failure and stroke. However, its role as a predictor in depressive symptom severity remains undefined. Data from the community-based Dallas Heart Study (n = 2554) were examined using a multiple linear regression analysis to evaluate the relationship between galectin-3 and depressive symptom severity as assessed with Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR) scores. Additional covariates included age, sex, race/ethnicity, body mass index (BMI), years of education, serum creatinine, history of diabetes, and smoking history. Galectin-3 levels statistically significantly predicted QIDS-SR depressive symptom severity (β = 0.055, p = .015). Female sex, smoking status, and BMI were found to be statistically significant positive predictors of depression severity, while age, years of education, non-Hispanic White race, and Hispanic ethnicity were negative predictors of depressive symptom severity. In this large sample, higher galectin-3 levels were associated with higher levels of depressive symptoms. The findings suggest that galectin-3 may be a new and useful inflammatory biomarker associated with depression. |
| Databáze: | OpenAIRE |
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