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All Journal SRIWIJAYA JOURNAL OF MEDICINE
Yuniza
Department of Internal Medicine, Faculty of Medicine, Universitas Sriwijaya - Mohammad Hoesin General Hospital, Palembang, Indonesia
Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Public Health

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Correlation Between Serum BDNF Levels and Specific Cognitive Domains of MoCA-Ina in Elderly with Mild Cognitive Impairment: An Exploratory Study Denis Puja Sakti; Yuniza; Ridzqie Dibyantari; Mgs. Irsan Saleh
Sriwijaya Journal of Medicine Vol. 9 No. 2 (2026): Vol 9, No 2, 2026
Publisher : Fakultas Kedokteran Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/sjm.v9i2.402

Abstract

Brain-Derived Neurotrophic Factor (BDNF) decline is closely linked to Mild Cognitive Impairment (MCI) in the elderly. However, sociodemographic variables frequently confound this neurobiological relationship. This study evaluates the correlation between baseline serum BDNF levels and specific MoCA-Ina cognitive domains in MCI patients, adjusting for age and educational background. This exploratory cross-sectional study included 30 MCI subjects (≥60 years) at Dr. Mohammad Hoesin General Hospital. Serum BDNF was quantified via ELISA. Cognitive performance was measured across seven MoCA-Ina domains. Data were analyzed using Spearman’s rank and non-parametric partial correlations. The initial unadjusted analysis showed no significant correlation between BDNF and total MoCA-Ina scores (r = 0.282, p = 0.131). However, statistically controlling for age and education revealed a significant moderate positive correlation (r = 0.428, 95% CI 0.07–0.69, p = 0.023). Domain-specific analysis demonstrated a significant positive correlation exclusively in the Abstraction domain (r = 0.392, 95% CI 0.02–0.67, p = 0.039). Adjusting for age and cognitive reserve unmasks a significant positive correlation between baseline serum BDNF, global cognition, and abstraction performance in MCI. Peripheral BDNF represents a potential biomarker for prefrontal cognitive dynamics when sociodemographic confounders are properly integrated.
Co-Authors Denis Puja Sakti Muhammad Irsan Saleh Ridzqie Dibyantari