Background: Patients suffering from major depressive disorder (MDD) commonly demonstrate lower performance across multiple cognitive domains. Cognitive impairment is an intrinsic characteristic of MDD status and is often influenced by genetic factors. microRNAs (miRNAs or miRs) have been shown to have important implications in the etiology of MDD. Therefore, we aimed to identify and analyze the impact of expression and genetic variation of miR-34b/c on cognitive dysfunction in MDD.
Methods: First, we analyzed miR-34c-5p expression in 48 cases of MDD and 54 healthy controls in a Chinese population using qRT-PCR. We assessed the relationship between the level of miR-34c-5p expression and cognitive performance by Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and the Trail Making Test (TMT). Second, in order to characterize allelic effects of miR-34b/c on cognitive performance in MDD patients, we performed genetic association analysis of single-nucleotide polymorphism (SNP) loci of the MIR34B/C genes with cognitive function in a second group consisting of 531 MDD patients and 267 healthy controls.
Results: We found a significant negative correlation between the level of miR-34c-5p expression and both the language and delayed memory index scores in patients with MDD. We also found a significant positive correlation between the level of miR-34c-5p expression and the time required to complete tests A and B of the TMT. The interaction between the rs2187473 genotype and the disease was significant for both immediate memory and delayed memory. In the patient group, the rs2187473 CC genotype was significantly associated with higher performance on immediate memory ( = 6.683, p < 0.05) and delayed memory tasks ( = 4.221, p < 0.05).
Conclusion: Our findings suggest that changes in miR-34c expression level have important impacts on cognitive function in patients with MDD. In particular, the polymorphism rs2187473 is a potential genetic risk factor for cognitive function in MDD, which may be of clinical use.
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http://dx.doi.org/10.2147/NDT.S247787 | DOI Listing |
Cell Mol Biol (Noisy-le-grand)
January 2025
College of Life Sciences, Liaoning Normal University, Dalian 116000, Liaoning Province, China.
Liaoning cashmere goat is an outstanding breed in China primarily for cashmere production, with strict controls against genetic outflow. Melatonin(MT) is a key factor affecting cashmere growth, and preliminary transcriptome sequencing indicated that melatonin upregulates the expression of the PIP5K1A gene in skin fibroblasts. To predict the physicochemical properties of PIP5K1A in Liaoning cashmere goats, ascertain the tissue localization of PIP5K1A in their skin, and explore the role and mechanism of PIP5K1A in the proliferation of skin fibroblasts.
View Article and Find Full Text PDFMol Psychiatry
January 2025
Institute of Biomedicine, Integrative Physiology and Pharmacology Unit, University of Turku, Turku, Finland.
Childhood maltreatment exposure (CME) increases the risk of adverse long-term health consequences for the exposed individual. Animal studies suggest that CME may also influence the health and behaviour in the next generation offspring through CME-driven epigenetic changes in the germ line. Here we investigated the associated between early life stress on the epigenome of sperm in humans with history of CME.
View Article and Find Full Text PDFIndian J Hematol Blood Transfus
October 2024
Thalassemia & Hemoglobinopathy Research Center, Health Research Institute, Ahvaz Jondishapur University of Medical Sciences, Ahvaz, Iran.
Developing resistance to anticancer drugs complicates the clinical treatment of multiple myeloma patients. Previous studies revealed a link between the unfolded protein response (UPR) and miRNAs with acquired drug resistance. This study aimed to determine the expression profile of XBP1, hsa-miR-34c-5p, hsa-miR-214, and hsa-miR-30c-2* in resistant and sensitive multiple myeloma cell lines to a proteasome inhibitor, bortezomib.
View Article and Find Full Text PDFAging (Albany NY)
October 2024
Department of Chronic Disease, Chifeng Center for Disease Control and Prevention, Chifeng 024000, Inner Mongolia Autonomous Region, China.
Purpose: There is no golden noninvasive and effective technique to diagnose lymph node metastasis (LNM) for esophageal squamous cell carcinoma (ESCC) patients. Here, a classifier was proposed consisting of miRNAs to screen ESCC patients with LNM from the ones without LNM.
Methods: miRNA expression and clinical data files of 93 ESCC samples were downloaded from TCGA as the discovery set and 119 ESCC samples with similar dataset GSE43732 as the validation set.
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi
September 2024
School of Public Health, Hangzhou Medical College, Hangzhou 310000, China.
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