Prodan-Bărbulescu Cătălin, Alin Cristian Daniel, Faur Ionuţ Flaviu, Bujor Georgeta Cristiana, Şeclăman Edward Paul, Enătescu Virgil, Dănilă Alexandra-Ioana, Dăescu Ecaterina, Hajjar Rami, Ghenciu Laura Andreea, Tuţac Paul, Paşca Paul, Cimpean Anca Maria, Duta Ciprian
Faculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.
Department I-Discipline of Anatomy and Embryology, Faculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 2nd Eftimie Murgu Square, 300041 Timisoara, Romania.
Biomedicines. 2024 Sep 24;12(10):2165. doi: 10.3390/biomedicines12102165.
Depression is a significant concern in clinical and preclinical psychoneurobiological sciences due to its high prevalence and its individual and collective consequences. Identifying efficient biomarkers for accurate diagnosis is crucial, with ideal biomarkers having detectable serum levels and conformational and thermal stability. This study aims to identify stable plasma biomarkers for the diagnosis and prognosis of major depressive disorder, as the pathogenesis of the disorder remains incompletely understood, affecting diagnosis accuracy.
Thus, this study included ten MDD patients and eight healthy controls. The present work analyzed miRNAs in patients with major depressive disorder compared to healthy controls.
Eleven specific miRNAs, particularly hsa-miR-874-3p; hsa-let-7d-5p; and hsa-miR-93-3p showed upregulation-type plasma variations in the group of patients with major depressive disorder. miRNA functionality is linked to depressive pathophysiology.
This study identifies a "bouquet" of miRNAs with significant upregulation variations in patients with major depressive disorder, suggesting further research to determine their suitability for personalization and evaluation, ultimately becoming integral components of major depression serological evaluations.
抑郁症因其高患病率及其对个体和群体的影响，在临床和临床前心理神经生物学领域备受关注。识别用于准确诊断的有效生物标志物至关重要，理想的生物标志物应具有可检测的血清水平以及构象和热稳定性。由于该疾病的发病机制仍未完全明确，影响诊断准确性，本研究旨在识别用于重度抑郁症诊断和预后的稳定血浆生物标志物。
因此，本研究纳入了10名重度抑郁症患者和8名健康对照。本研究分析了重度抑郁症患者与健康对照相比的微小RNA。
11种特定的微小RNA，特别是hsa-miR-874-3p、hsa-let-7d-5p和hsa-miR-93-3p在重度抑郁症患者组中呈现上调型血浆变化。微小RNA的功能与抑郁病理生理学相关。
本研究识别出一组在重度抑郁症患者中显著上调的微小RNA，表明需要进一步研究以确定它们在个性化和评估方面的适用性，最终成为重度抑郁症血清学评估的重要组成部分。
