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Dong T, Yu C, Mao Q, Han F, Yang Z, Yang Z, Pires N, Wei X, Jing W, Lin Q, Hu F, Hu X, Zhao L, Jiang Z. Advances in biosensors for major depressive disorder diagnostic biomarkers. Biosens Bioelectron 2024; 258:116291. [PMID: 38735080 DOI: 10.1016/j.bios.2024.116291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 03/25/2024] [Accepted: 04/09/2024] [Indexed: 05/14/2024]
Abstract
Depression is one of the most common mental disorders and is mainly characterized by low mood or lack of interest and pleasure. It can be accompanied by varying degrees of cognitive and behavioral changes and may lead to suicide risk in severe cases. Due to the subjectivity of diagnostic methods and the complexity of patients' conditions, the diagnosis of major depressive disorder (MDD) has always been a difficult problem in psychiatry. With the discovery of more diagnostic biomarkers associated with MDD in recent years, especially emerging non-coding RNAs (ncRNAs), it is possible to quantify the condition of patients with mental illness based on biomarker levels. Point-of-care biosensors have emerged due to their advantages of convenient sampling, rapid detection, miniaturization, and portability. After summarizing the pathogenesis of MDD, representative biomarkers, including proteins, hormones, and RNAs, are discussed. Furthermore, we analyzed recent advances in biosensors for detecting various types of biomarkers of MDD, highlighting representative electrochemical sensors. Future trends in terms of new biomarkers, new sample processing methods, and new detection modalities are expected to provide a complete reference for psychiatrists and biomedical engineers.
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Affiliation(s)
- Tao Dong
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China; Chongqing Key Laboratory of Micro-Nano Transduction and Intelligent Systems, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Nan'an District, Chongqing, 400067, China.
| | - Chenghui Yu
- Chongqing Key Laboratory of Micro-Nano Transduction and Intelligent Systems, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Nan'an District, Chongqing, 400067, China.
| | - Qi Mao
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Feng Han
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Zhenwei Yang
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Zhaochu Yang
- Chongqing Key Laboratory of Micro-Nano Transduction and Intelligent Systems, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Nan'an District, Chongqing, 400067, China
| | - Nuno Pires
- Chongqing Key Laboratory of Micro-Nano Transduction and Intelligent Systems, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Nan'an District, Chongqing, 400067, China
| | - Xueyong Wei
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Weixuan Jing
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Qijing Lin
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Fei Hu
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Xiao Hu
- Engineering Research Center of Ministry of Education for Smart Justice, School of Criminal Investigation, Southwest University of Political Science and Law, Chongqing, 401120, China.
| | - Libo Zhao
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Zhuangde Jiang
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
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Wang M, Zhang B, Jin F, Li G, Cui C, Feng S. Exosomal MicroRNAs: Biomarkers of moyamoya disease and involvement in vascular cytoskeleton reconstruction. Heliyon 2024; 10:e32022. [PMID: 38868045 PMCID: PMC11168404 DOI: 10.1016/j.heliyon.2024.e32022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 05/23/2024] [Accepted: 05/27/2024] [Indexed: 06/14/2024] Open
Abstract
Moyamoya disease currently lacks a suitable method for early clinical screening.This study aimed to identify a simple and feasible clinical screening index by investigating microRNAs carried by peripheral blood exosomes. Experimental subjects participated in venous blood collection, and exosomes were isolated using Exquick-related technology. Sequencing was performed on the extracted exosomal ribonucleic acids (RNAs) to identify differential microRNAs. Verification of the results involved selecting relevant samples from the genetic database. The study successfully pinpointed a potential marker for early screening, hsa-miR-328-3p + hsa-miR-200c-3p carried by peripheral blood exosomes. Enrichment analysis of target genes revealed associations with intercellular junctions, impaired cytoskeletal regulation, and increased fibroblast proliferation, leading to bilateral internal carotid artery neointimal expansion and progressive stenosis. These findings establish the diagnostic value of hsa-miR-328-3p+hsa-miR-200c-3p in screening moyamoya disease, while also contributing to a deeper understanding of its underlying pathophysiology. Significant differences in microRNA expressions derived from peripheral blood exosomes were observed between moyamoya disease patients and control subjects. Consequently, the utilization of peripheral blood exosomes, specifically hsa-miR-328-3p + hsa-miR-200c-3p, holds potential for diagnostic screening purposes.
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Affiliation(s)
- Mengjie Wang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300070, China
- Department of Neurosurgery, Affiliated Hospital of Jining Medical University, No.133, Lotus Road, Jining, Shandong, China
| | - Bin Zhang
- Department of Central Laboratory, Affiliated Hospital of Jining Medical University, No.133, Lotus Road, Jining, Shandong, China
| | - Feng Jin
- Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), 266042, Qingdao, Shandong, China
| | - Genhua Li
- Department of Neurosurgery, Affiliated Hospital of Jining Medical University, No.133, Lotus Road, Jining, Shandong, China
| | - Changmeng Cui
- Department of Neurosurgery, Affiliated Hospital of Jining Medical University, No.133, Lotus Road, Jining, Shandong, China
| | - Song Feng
- Department of Neurosurgery, Affiliated Hospital of Jining Medical University, No.133, Lotus Road, Jining, Shandong, China
- Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), 266042, Qingdao, Shandong, China
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Cai L, Xu J, Liu J, Luo H, Yang R, Gui X, Wei L. miRNAs in treatment-resistant depression: a systematic review. Mol Biol Rep 2024; 51:638. [PMID: 38727891 DOI: 10.1007/s11033-024-09554-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 04/15/2024] [Indexed: 07/12/2024]
Abstract
BACKGROUND Treatment-resistant depression (TRD) is a condition in a subset of depressed patients characterized by resistance to antidepressant medications. The global prevalence of TRD has been steadily increasing, yet significant advancements in its diagnosis and treatment remain elusive despite extensive research efforts. The precise underlying pathogenic mechanisms are still not fully understood. Epigenetic mechanisms play a vital role in a wide range of diseases. In recent years, investigators have increasingly focused on the regulatory roles of miRNAs in the onset and progression of TRD. miRNAs are a class of noncoding RNA molecules that regulate the translation and degradation of their target mRNAs via interaction, making the exploration of their functions in TRD essential for elucidating their pathogenic mechanisms. METHODS AND RESULTS A systematic search was conducted in four databases, namely PubMed, Web of Science, Cochrane Library, and Embase, focusing on studies related to treatment-resistant depression and miRNAs. The search was performed using terms individually or in combination, such as "treatment-resistant depression," "medication-resistant depression," and "miRNAs." The selected articles were reviewed and collated, covering the time period from the inception of each database to the end of February 2024. We found that miRNAs play a crucial role in the pathophysiology of TRD through three main aspects: 1) involvement in miRNA-mediated inflammatory responses (including miR-155, miR-345-5p, miR-146a, and miR-146a-5p); 2) influence on 5-HT transport processes (including miR-674,miR-708, and miR-133a); and 3) regulation of synaptic plasticity (including has-miR-335-5p,has-miR- 1292-3p, let-7b, and let-7c). Investigating the differential expression and interactions of these miRNAs could contribute to a deeper understanding of the molecular mechanisms underlying TRD. CONCLUSIONS miRNAs might play a pivotal role in the pathogenesis of TRD. Gaining a deeper understanding of the roles and interrelations of miRNAs in TRD will contribute to elucidating disease pathogenesis and potentially provide avenues for the development of novel diagnostic and therapeutic strategies.
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Affiliation(s)
- Lun Cai
- Department of Neurology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Guangxi University of Chinese Medicine, Nanning, 530023, People's Republic of China
| | - Jingwen Xu
- Department of Neurology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Guangxi University of Chinese Medicine, Nanning, 530023, People's Republic of China
| | - Jie Liu
- Department of Neurology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Guangxi University of Chinese Medicine, Nanning, 530023, People's Republic of China
| | - Huazheng Luo
- Department of Neurology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Guangxi University of Chinese Medicine, Nanning, 530023, People's Republic of China
| | - Rongrong Yang
- Department of Neurology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Guangxi University of Chinese Medicine, Nanning, 530023, People's Republic of China
| | - Xiongbin Gui
- Department of Surgery, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Guangxi University of Chinese Medicine, No. 89-9 Dongge Road, Nanning, 530000, Guangxi, People's Republic of China.
| | - Liping Wei
- Department of Surgery, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Guangxi University of Chinese Medicine, No. 89-9 Dongge Road, Nanning, 530000, Guangxi, People's Republic of China
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