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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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Cheng B, Yang R, Xu H, Wang L, Jiang N, Song T, Dong C. Peripheral Blood miRNA Expression in Patients with Essential Hypertension in the Han Chinese Population in Hefei, China. Biochem Genet 2024:10.1007/s10528-024-10867-6. [PMID: 38907084 DOI: 10.1007/s10528-024-10867-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 06/10/2024] [Indexed: 06/23/2024]
Abstract
Primary hypertension is a significant risk factor for cardiovascular diseases. However, the pathogenesis of primary hypertension involves multiple biological processes, including the nervous system, circulatory system, endocrine system, and more. Despite extensive research, there is no clear understanding of the regulatory mechanism underlying its pathogenesis. In recent years, miRNAs have gained attention as a regulatory factor capable of modulating the expression of related molecules through gene silencing. Therefore, exploring differentially expressed miRNAs in patients with essential hypertension (EH) may offer a novel approach for future diagnosis and treatment of EH. This study included a total of twenty Han Chinese population samples from Hefei, China. The samples consisted of 10 healthy individuals and 10 patients with EH. Statistical analysis was conducted to analyze the general information of the two-sample groups. High-throughput sequencing and base identification were performed to obtain the original sequencing sequences. These sequences were then annotated using various databases including Rfam, cDNA sequences, species repetitive sequences library, and miRBase database. The number of miRNA species contained in the samples was measured. Next, TPM values were calculated to determine the expression level of each miRNA. The bioinformatics of the differentiated miRNAs were analyzed using the OECloud tool, and RPM values were calculated. Furthermore, the reliability of the expression was analyzed by calculating the area under the Roc curve using the OECloud tools. Statistical analysis revealed no significant differences between the two samples in terms of age distribution, gender composition, smoking history, and alcohol consumption history (P > 0.05). However, there was a notable presence of family genetic history and high BMI in the EH population (P < 0.05). The sequencing results identified a total of 245 miRNAs, out of which 16 miRNAs exhibited differential expression. Among the highly expressed miRNAs were let-7d-5p, miR-101-3p, miR-122-5p, miR-122b-3p, miR-192-5p, and miR-6722-3p. On the other hand, the lowly expressed miRNAs included miR-103a-3p, miR-16-5p, miR-181a-2-3p, miR-200a-3p, miR-200b-3p, miR-200c-3p, miR-221-3p, miR-30d-5p, miR-342-5p, and miR-543. This study initially identified 16 miRNAs that are aberrantly expressed and function in various processes associated with the onset and progression of essential hypertension. These miRNAs have the potential to be targeted for future diagnosis and treatment of EH. However, further samples are required to provide additional support for this study.
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Affiliation(s)
- Bin Cheng
- Department of Anhui University of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China
| | - Ronglu Yang
- Department of Traditional Chinese Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Hui Xu
- College of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China
| | - Li Wang
- College of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China
| | - Nan Jiang
- College of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China
| | - Tingting Song
- The First Clinical Medical School, Anhui University of Chinese Medicine, Hefei, China.
| | - Changwu Dong
- The Second Clinical Medical School, Anhui University of Chinese Medicine, Hefei, China.
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Wu S, Shang X, Guo M, Su L, Wang J. Exosomes in the Diagnosis of Neuropsychiatric Diseases: A Review. BIOLOGY 2024; 13:387. [PMID: 38927267 PMCID: PMC11200774 DOI: 10.3390/biology13060387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/28/2024]
Abstract
Exosomes are 30-150 nm small extracellular vesicles (sEVs) which are highly stable and encapsulated by a phospholipid bilayer. Exosomes contain proteins, lipids, RNAs (mRNAs, microRNAs/miRNAs, long non-coding RNAs/lncRNAs), and DNA of their parent cell. In pathological conditions, the composition of exosomes is altered, making exosomes a potential source of biomarkers for disease diagnosis. Exosomes can cross the blood-brain barrier (BBB), which is an advantage for using exosomes in the diagnosis of central nervous system (CNS) diseases. Neuropsychiatric diseases belong to the CNS diseases, and many potential diagnostic markers have been identified for neuropsychiatric diseases. Here, we review the potential diagnostic markers of exosomes in neuropsychiatric diseases and discuss the potential application of exosomal biomarkers in the early and accurate diagnosis of these diseases. Additionally, we outline the limitations and future directions of exosomes in the diagnosis of neuropsychiatric diseases.
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Affiliation(s)
- Song Wu
- Autism & Depression Diagnosis and Intervention Institute, Hubei University of Technology, Wuhan 430068, China; (S.W.); (X.S.); (M.G.)
- National “111” Center for Cellular Regulation and Molecular Pharmaceutics, Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan 430068, China
- Cooperative Innovation Center of Industrial Fermentation, Ministry of Education & Hubei Province, Hubei University of Technology, Wuhan 430068, China
| | - Xinmiao Shang
- Autism & Depression Diagnosis and Intervention Institute, Hubei University of Technology, Wuhan 430068, China; (S.W.); (X.S.); (M.G.)
- National “111” Center for Cellular Regulation and Molecular Pharmaceutics, Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan 430068, China
- Cooperative Innovation Center of Industrial Fermentation, Ministry of Education & Hubei Province, Hubei University of Technology, Wuhan 430068, China
| | - Meng Guo
- Autism & Depression Diagnosis and Intervention Institute, Hubei University of Technology, Wuhan 430068, China; (S.W.); (X.S.); (M.G.)
- National “111” Center for Cellular Regulation and Molecular Pharmaceutics, Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan 430068, China
- Cooperative Innovation Center of Industrial Fermentation, Ministry of Education & Hubei Province, Hubei University of Technology, Wuhan 430068, China
| | - Lei Su
- Shenzhen Key Laboratory of Nano-Biosensing Technology, Marshall Laboratory of Biomedical Engineering, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China;
| | - Jun Wang
- Autism & Depression Diagnosis and Intervention Institute, Hubei University of Technology, Wuhan 430068, China; (S.W.); (X.S.); (M.G.)
- National “111” Center for Cellular Regulation and Molecular Pharmaceutics, Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan 430068, China
- Cooperative Innovation Center of Industrial Fermentation, Ministry of Education & Hubei Province, Hubei University of Technology, Wuhan 430068, China
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Qi J, Cheng H, Su L, Li J, Cheng F. A novel exosome-related prognostic risk model for thyroid cancer. Asia Pac J Clin Oncol 2024. [PMID: 38577908 DOI: 10.1111/ajco.14063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 02/13/2024] [Accepted: 03/20/2024] [Indexed: 04/06/2024]
Abstract
AIM The aim was to build an exosome-related gene (ERG) risk model for thyroid cancer (TC) patients. METHODS Note that, 510 TC samples from The Cancer Genome Atlas database and 121 ERGs from the ExoBCD database were obtained. Differential gene expression analysis was performed to get ERGs in TC (TERGs). Functional enrichment analyses including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were conducted on the TERGs. Then we constructed a model based on LASSO Cox regression analysis. Kaplan-Meier survival analysis was applied and a Nomogram model was also built. The immune landscape was evaluated by CIBERSORT. RESULTS Thirty-eight TERGs were identified and their functions were enriched on 591 GO terms and 30 KEGG pathways. We built a Risk Score model based on FGFR3, ADRA1B, and POSTN. Risk Scores were significantly higher in T4 than in other stages, meanwhile, it didn't significantly differ in genders and TNM N or M classifications. The nomogram model could reliably predict the overall survival of TC patients. The mutation rate of BRAF and expression of cytotoxic T-lymphocyte-associated protein 4 were significantly higher in the high-risk group than in the low-risk group. The risk score was significantly correlated to the immune landscape. CONCLUSION We built a Risk Score model using FGFR3, ADRA1B, and POSTN which could reliably predict the prognosis of TC patients.
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Affiliation(s)
- Junfeng Qi
- Department of Ultrasound, Wuwei People's Hospital, Wuwei, China
| | - Hanshan Cheng
- Department of Ultrasound, Wuwei People's Hospital, Wuwei, China
| | - Long Su
- Department of Ultrasound, Wuwei People's Hospital, Wuwei, China
| | - Jun Li
- Department of Ultrasound, Wuwei People's Hospital, Wuwei, China
| | - Fei Cheng
- Department of Surgical Oncology, Wuwei People's Hospital, Wuwei, China
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Kumar A, Nader MA, Deep G. Emergence of Extracellular Vesicles as "Liquid Biopsy" for Neurological Disorders: Boom or Bust. Pharmacol Rev 2024; 76:199-227. [PMID: 38351075 PMCID: PMC10877757 DOI: 10.1124/pharmrev.122.000788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 11/11/2023] [Accepted: 11/27/2023] [Indexed: 02/16/2024] Open
Abstract
Extracellular vesicles (EVs) have emerged as an attractive liquid biopsy approach in the diagnosis and prognosis of multiple diseases and disorders. The feasibility of enriching specific subpopulations of EVs from biofluids based on their unique surface markers has opened novel opportunities to gain molecular insight from various tissues and organs, including the brain. Over the past decade, EVs in bodily fluids have been extensively studied for biomarkers associated with various neurological disorders, such as Alzheimer's disease, Parkinson's disease, schizophrenia, bipolar disorder, major depressive disorders, substance use disorders, human immunodeficiency virus-associated neurocognitive disorder, and cancer/treatment-induced neurodegeneration. These studies have focused on the isolation and cargo characterization of either total EVs or brain cells, such as neuron-, astrocyte-, microglia-, oligodendrocyte-, pericyte-, and endothelial-derived EVs from biofluids to achieve early diagnosis and molecular characterization and to predict the treatment and intervention outcomes. The findings of these studies have demonstrated that EVs could serve as a repetitive and less invasive source of valuable molecular information for these neurological disorders, supplementing existing costly neuroimaging techniques and relatively invasive measures, like lumbar puncture. However, the initial excitement surrounding blood-based biomarkers for brain-related diseases has been tempered by challenges, such as lack of central nervous system specificity in EV markers, lengthy protocols, and the absence of standardized procedures for biological sample collection, EV isolation, and characterization. Nevertheless, with rapid advancements in the EV field, supported by improved isolation methods and sensitive assays for cargo characterization, brain cell-derived EVs continue to offer unparallel opportunities with significant translational implications for various neurological disorders. SIGNIFICANCE STATEMENT: Extracellular vesicles present a less invasive liquid biopsy approach in the diagnosis and prognosis of various neurological disorders. Characterizing these vesicles in biofluids holds the potential to yield valuable molecular information, thereby significantly impacting the development of novel biomarkers for various neurological disorders. This paper has reviewed the methodology employed to isolate extracellular vesicles derived from various brain cells in biofluids, their utility in enhancing the molecular understanding of neurodegeneration, and the potential challenges in this research field.
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Affiliation(s)
- Ashish Kumar
- Departments of Cancer Biology (A.K., G.D.), Physiology and Pharmacology (M.A.N.), Radiology (M.A.N.), and Center for Addiction Research (M.A.N., G.D.), Wake Forest University School of Medicine, Winston-Salem, North Carolina; Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, North Carolina (G.D.); and Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina (G.D.)
| | - Michael A Nader
- Departments of Cancer Biology (A.K., G.D.), Physiology and Pharmacology (M.A.N.), Radiology (M.A.N.), and Center for Addiction Research (M.A.N., G.D.), Wake Forest University School of Medicine, Winston-Salem, North Carolina; Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, North Carolina (G.D.); and Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina (G.D.)
| | - Gagan Deep
- Departments of Cancer Biology (A.K., G.D.), Physiology and Pharmacology (M.A.N.), Radiology (M.A.N.), and Center for Addiction Research (M.A.N., G.D.), Wake Forest University School of Medicine, Winston-Salem, North Carolina; Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, North Carolina (G.D.); and Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina (G.D.)
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Oraki Kohshour M, Papiol S, Delalle I, Rossner MJ, Schulze TG. Extracellular vesicle approach to major psychiatric disorders. Eur Arch Psychiatry Clin Neurosci 2023; 273:1279-1293. [PMID: 36302978 PMCID: PMC10450008 DOI: 10.1007/s00406-022-01497-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 09/27/2022] [Indexed: 11/30/2022]
Abstract
Over the last few years, extracellular vesicles (EVs) have received increasing attention as potential non-invasive diagnostic and therapeutic biomarkers for various diseases. The interest in EVs is related to their structure and content, as well as to their changing cargo in response to different stimuli. One of the potential areas of use of EVs as biomarkers is the central nervous system (CNS), in particular the brain, because EVs can cross the blood-brain barrier, exist also in peripheral tissues and have a diverse cargo. Thus, they may represent "liquid biopsies" of the CNS that can reflect brain pathophysiology without the need for invasive surgical procedures. Overall, few studies to date have examined EVs in neuropsychiatric disorders, and the present evidence appears to lack reproducibility. This situation might be due to a variety of technical obstacles related to working with EVs, such as the use of different isolation strategies, which results in non-uniform vesicular and molecular outputs. Multi-omics approaches and improvements in the standardization of isolation procedures will allow highly pure EV fractions to be obtained in which the molecular cargo, particularly microRNAs and proteins, can be identified and accurately quantified. Eventually, these advances will enable researchers to decipher disease-relevant molecular signatures of the brain-derived EVs involved in synaptic plasticity, neuronal development, neuro-immune communication, and other related pathways. This narrative review summarizes the findings of studies on EVs in major psychiatric disorders, particularly in the field of biomarkers, and discusses the respective therapeutic potential of EVs.
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Affiliation(s)
- Mojtaba Oraki Kohshour
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, 80336, Munich, Germany
- Department of Immunology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, 80336, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Ivana Delalle
- Department of Pathology and Laboratory Medicine, Neuropathology Service, Rhode Island Hospital, Lifespan Academic Medical Center, The Warren Alpert Medical School of Brown University, Providence, RI, 02903, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, 670 Albany Street, Boston, MA, 02118, USA
| | - Moritz J Rossner
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, 80336, Munich, Germany.
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA.
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Kurtulmuş A, Koçana CÇ, Toprak SF, Sözer S. The role of Extracellular Genomic Materials (EGMs) in psychiatric disorders. Transl Psychiatry 2023; 13:262. [PMID: 37464177 PMCID: PMC10354097 DOI: 10.1038/s41398-023-02549-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 06/26/2023] [Accepted: 06/27/2023] [Indexed: 07/20/2023] Open
Abstract
Extracellular Genomic Materials (EGMs) are the nucleic acids secreted or released from all types of cells by endogenous or exogenous stimuli through varying mechanisms into the extracellular region and inevitably to all biological fluids. EGMs could be found as free, protein-bound, and/ or with vesicles. EGMs can potentially have immunophenotypic and/or genotypic characteristics of a cell of origin, travel to distant organs, and interact with the new microenvironment. To achieve all, EGMs might bi-directionally transit through varying membranes, including the blood-brain barrier. Such ability provides the transfer of any information related to the pathophysiological changes in psychiatric disorders in the brain to the other distant organ systems or vice versa. In this article, many aspects of EGMs have been elegantly reviewed, including their potential in diagnosis as biomarkers, application in treatment modalities, and functional effects in the pathophysiology of psychiatric disorders. The psychiatric disorders were studied under subgroups of Schizophrenia spectrum disorders, bipolar disorder, depressive disorders, and an autism spectrum disorders. EGMs provide a robust and promising tool in clinics for prognosis and diagnosis. The successful application of EGMs into treatment modalities might further provide encouraging outcomes for researchers and clinicians in psychiatric disorders.
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Affiliation(s)
- Ayşe Kurtulmuş
- Department of Genetics, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
- Institute of Health Sciences, Istanbul University, Istanbul, Turkey
- Istanbul Göztepe Prof.Dr.Süleyman Yalçın City Hospital, Department of Psychiatry, Istanbul, Turkey
| | - Cemal Çağıl Koçana
- Department of Genetics, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
- Institute of Health Sciences, Istanbul University, Istanbul, Turkey
| | - Selin Fulya Toprak
- Department of Genetics, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
- Institute of Health Sciences, Istanbul University, Istanbul, Turkey
| | - Selçuk Sözer
- Department of Genetics, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey.
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Si Q, Wu L, Pang D, Jiang P. Exosomes in brain diseases: Pathogenesis and therapeutic targets. MedComm (Beijing) 2023; 4:e287. [PMID: 37313330 PMCID: PMC10258444 DOI: 10.1002/mco2.287] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 04/28/2023] [Accepted: 05/08/2023] [Indexed: 06/15/2023] Open
Abstract
Exosomes are extracellular vesicles with diameters of about 100 nm that are naturally secreted by cells into body fluids. They are derived from endosomes and are wrapped in lipid membranes. Exosomes are involved in intracellular metabolism and intercellular communication. They contain nucleic acids, proteins, lipids, and metabolites from the cell microenvironment and cytoplasm. The contents of exosomes can reflect their cells' origin and allow the observation of tissue changes and cell states under disease conditions. Naturally derived exosomes have specific biomolecules that act as the "fingerprint" of the parent cells, and the contents changed under pathological conditions can be used as biomarkers for disease diagnosis. Exosomes have low immunogenicity, are small in size, and can cross the blood-brain barrier. These characteristics make exosomes unique as engineering carriers. They can incorporate therapeutic drugs and achieve targeted drug delivery. Exosomes as carriers for targeted disease therapy are still in their infancy, but exosome engineering provides a new perspective for cell-free disease therapy. This review discussed exosomes and their relationship with the occurrence and treatment of some neuropsychiatric diseases. In addition, future applications of exosomes in the diagnosis and treatment of neuropsychiatric disorders were evaluated in this review.
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Affiliation(s)
- Qingying Si
- Department of EndocrinologyTengzhou Central People's HospitalTengzhouChina
| | - Linlin Wu
- Department of OncologyTengzhou Central People's HospitalTengzhouChina
| | - Deshui Pang
- Department of EndocrinologyTengzhou Central People's HospitalTengzhouChina
| | - Pei Jiang
- Translational Pharmaceutical LaboratoryJining First People's HospitalShandong First Medical UniversityJiningChina
- Institute of Translational PharmacyJining Medical Research AcademyJiningChina
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Ding R, Su D, Zhao Q, Wang Y, Wang JY, Lv S, Ji X. The role of microRNAs in depression. Front Pharmacol 2023; 14:1129186. [PMID: 37063278 PMCID: PMC10090555 DOI: 10.3389/fphar.2023.1129186] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 03/21/2023] [Indexed: 03/31/2023] Open
Abstract
Major depressive disorder (MDD) is a psychiatric disorder with increasing prevalence worldwide. It is a leading cause of disability and suicide, severely affecting physical and mental health. However, the study of depression remains at an exploratory stage in terms of diagnostics and treatment due to the complexity of its pathogenesis. MicroRNAs are endogenous short-stranded non-coding RNAs capable of binding to the 3’untranslated region of mRNAs. Because of their ability to repress translation process of genes and are found at high levels in brain tissues, investigation of their role in depression has gradually increased recently. This article summarizes recent research progress on the relationship between microRNAs and depression. The microRNAs play a regulatory role in the pathophysiology of depression, involving dysregulation of monoamines, abnormalities in neuroplasticity and neurogenesis, hyperactivity of the HPA axis, and dysregulation of inflammatory responses. These microRNAs might provide new clue for the diagnosis and treatment of MDD, and the development of antidepressant drugs.
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Affiliation(s)
- Ruidong Ding
- Institute of Molecular Medicine, Henan International Joint Laboratory for Nuclear Protein Regulation, School of Basic Medical Sciences, Henan University, Kaifeng, Henan, China
| | - Dingyuan Su
- Institute of Molecular Medicine, Henan International Joint Laboratory for Nuclear Protein Regulation, School of Basic Medical Sciences, Henan University, Kaifeng, Henan, China
| | - Qian Zhao
- Institute of Molecular Medicine, Henan International Joint Laboratory for Nuclear Protein Regulation, School of Basic Medical Sciences, Henan University, Kaifeng, Henan, China
| | - Yu Wang
- Institute of Molecular Medicine, Henan International Joint Laboratory for Nuclear Protein Regulation, School of Basic Medical Sciences, Henan University, Kaifeng, Henan, China
| | - Jia-Yi Wang
- San-Quan College, Xinxiang Medical University, Xinxiang, Henan, China
| | - Shuangyu Lv
- Institute of Molecular Medicine, Henan International Joint Laboratory for Nuclear Protein Regulation, School of Basic Medical Sciences, Henan University, Kaifeng, Henan, China
- *Correspondence: Shuangyu Lv, ; Xinying Ji,
| | - Xinying Ji
- Institute of Molecular Medicine, Henan International Joint Laboratory for Nuclear Protein Regulation, School of Basic Medical Sciences, Henan University, Kaifeng, Henan, China
- Kaifeng Key Laboratory for Infectious Diseases and Biosafety, Kaifeng, Henan, China
- Faculty of Basic Medical Subjects, Shu-Qing Medical College of Zhengzhou, Zhengzhou, Henan, China
- *Correspondence: Shuangyu Lv, ; Xinying Ji,
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Li Y, Gui Y, Zhao M, Chen X, Li H, Tian C, Zhao H, Jiang C, Xu P, Zhang S, Ye S, Huang M. The roles of extracellular vesicles in major depressive disorder. Front Psychiatry 2023; 14:1138110. [PMID: 36970289 PMCID: PMC10033661 DOI: 10.3389/fpsyt.2023.1138110] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 02/01/2023] [Indexed: 03/11/2023] Open
Abstract
Major depressive disorder (MDD) is a serious mental disease characterized by depressed mood, loss of interest and suicidal ideation. Its rising prevalence has rendered MDD one of the largest contributors to the global disease burden. However, its pathophysiological mechanism is still unclear, and reliable biomarkers are lacking. Extracellular vesicles (EVs) are widely considered important mediators of intercellular communication, playing an important role in many physiological and pathological processes. Most preclinical studies focus on the related proteins and microRNAs in EVs, which can regulate energy metabolism, neurogenesis, neuro-inflammation and other pathophysiological processes in the development of MDD. The purpose of this review is to describe the current research progress of EVs in MDD and highlight their potential roles as biomarkers, therapeutic indicators and drug delivery carriers for the treatment of MDD.
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Affiliation(s)
- Ying Li
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
- Brain Research Institute, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Yan Gui
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
- Brain Research Institute, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
- Department of Psychiatry, Tongde Hospital of Zhejiang Province, Mental Health Center of Zhejiang Province, Hangzhou, China
| | - Miaomiao Zhao
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
- Brain Research Institute, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Xuanqiang Chen
- Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Haimei Li
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
- Brain Research Institute, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Chen Tian
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
- Brain Research Institute, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Haoyang Zhao
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
- Brain Research Institute, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Chaonan Jiang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
- Brain Research Institute, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Pengfeng Xu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
- Brain Research Institute, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Shiyi Zhang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
- Brain Research Institute, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Shaoyong Ye
- Henan University School of Medicine, Henan University, Kaifeng, China
| | - Manli Huang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
- Brain Research Institute, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
- *Correspondence: Manli Huang,
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11
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Roy B, Dwivedi Y. An insight into the sprawling microverse of microRNAs in depression pathophysiology and treatment response. Neurosci Biobehav Rev 2023; 146:105040. [PMID: 36639069 PMCID: PMC9974865 DOI: 10.1016/j.neubiorev.2023.105040] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 01/06/2023] [Accepted: 01/08/2023] [Indexed: 01/12/2023]
Abstract
Stress-related neuropathologies are pivotal in developing major depressive disorder (MDD) and are often governed by gene-regulatory changes. Being a stress-responsive gene-regulatory factor, microRNAs (miRNAs) have tremendous biomolecular potential to define an altered gene-regulatory landscape in the MDD brain. MiRNAs' regulatory roles in the MDD brain are closely aligned with changes in plasticity, neurogenesis, and stress-axis functions. MiRNAs act at the epigenetic interface between stress-induced environmental stimuli and cellular pathologies by triggering large-scale gene expression changes in a highly coordinated fashion. The parallel changes in peripheral circulation may provide an excellent opportunity for miRNA to devise more effective treatment strategies and help explore their potential as biomarkers in treatment response. This review discusses the role of miRNAs as epigenetic modifiers in the etiopathogenesis of MDD. Concurrently, key research is highlighted to show the progress in using miRNAs as predictive biomarkers for treatment response.
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Affiliation(s)
- Bhaskar Roy
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Yogesh Dwivedi
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
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12
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Baumann V, Athanasiou AT, Faridani OR, Schwerdtfeger AR, Wallner B, Steinborn R. Identification of extremely GC-rich micro RNAs for RT-qPCR data normalization in human plasma. Front Genet 2023; 13:1058668. [PMID: 36685854 PMCID: PMC9846067 DOI: 10.3389/fgene.2022.1058668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 12/02/2022] [Indexed: 01/05/2023] Open
Abstract
We aimed at extending the repertoire of high-quality miRNA normalizers for reverse transcription-quantitative PCR (RT-qPCR) of human plasma with special emphasis on the extremely guanine-cytosine-rich portion of the miRNome. For high-throughput selection of stable candidates, microarray technology was preferred over small-RNA sequencing (sRNA-seq) since the latter underrepresented miRNAs with a guanine-cytosine (GC) content of at least 75% (p = 0.0002, n = 2). miRNA abundances measured on the microarray were ranked for consistency and uniformity using nine normalization approaches. The eleven most stable sequences included miRNAs of moderate, but also extreme GC content (45%-65%: miR-320d, miR-425-5p, miR-185-5p, miR-486-5p; 80%-95%: miR-1915-3p, miR-3656-5p, miR-3665-5p, miR-3960-5p, miR-4488-5p, miR-4497 and miR-4787-5p). In contrast, the seven extremely GC-rich miRNAs were not found in the two plasma miRNomes screened by sRNA-seq. Stem-loop RT-qPCR was employed for stability verification in 32 plasma samples of healthy male Caucasians (age range: 18-55 years). In general, inter-individual variance of miRNA abundance was low or very low as indicated by coefficient of variation (CV) values of 0.6%-8.2%. miR-3665 and miR-1915-3p outperformed in this analysis (CVs: 0.6 and 2.4%, respectively). The eight most stable sequences included four extremely GC-rich miRNAs (miR-1915-3p, miR-3665, miR-4787-5p and miR-4497). The best-performing duo normalization factor (NF) for the condition of human plasma, miR-320d and miR-4787-5p, also included a GC-extreme miRNA. In summary, the identification of extremely guanine-cytosine-rich plasma normalizers will help to increase accuracy of PCR-based miRNA quantification, thus raise the potential that miRNAs become markers for psychological stress reactions or early and precise diagnosis of clinical phenotypes. The novel miRNAs might also be useful for orthologous contexts considering their conservation in related animal genomes.
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Affiliation(s)
- Volker Baumann
- Genomics Core Facility, VetCore, University of Veterinary Medicine, Vienna, Austria
| | | | - Omid R. Faridani
- Garvan Institute of Medical Research, Sydney, NSW, Australia,Lowy Cancer Research Centre, School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | | | - Bernard Wallner
- Department of Behavioral and Cognitive Biology, University of Vienna, Vienna, Austria
| | - Ralf Steinborn
- Genomics Core Facility, VetCore, University of Veterinary Medicine, Vienna, Austria,Department of Microbiology, Immunobiology and Genetics, University of Vienna, Vienna, Austria,*Correspondence: Ralf Steinborn,
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13
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Mitra P, Gupta S, Sharma P. Extracellular Vesicles (EVs) as "A Window to the Brain": Potential, Challenges and Future Perspectives. Indian J Clin Biochem 2023; 38:1-3. [PMID: 36684493 PMCID: PMC9852378 DOI: 10.1007/s12291-023-01111-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Prasenjit Mitra
- Department of Biochemistry, Postgraduate Institute of Medical Education & Research, Chandigarh, 160012 India
| | - Shruti Gupta
- Department of Biochemistry, Postgraduate Institute of Medical Education & Research, Chandigarh, 160012 India
| | - Praveen Sharma
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, 342005 India
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Lyu Q, Zhou X, Shi LQ, Chen HY, Lu M, Ma XD, Ren L. Exosomes may be the carrier of acupuncture treatment for major depressive disorder. Front Behav Neurosci 2023; 17:1107265. [PMID: 36873772 PMCID: PMC9978012 DOI: 10.3389/fnbeh.2023.1107265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 02/01/2023] [Indexed: 02/18/2023] Open
Abstract
The incidence of major depressive disorder (MDD) is increasing all over the world. There is a great need for complementary or alternative therapies with high safety, few side effects, and precise efficacy to care for MDD. In China, acupuncture has significant laboratory data and clinical trials to demonstrate its antidepressant efficacy. However, there is no clear answer as to how it works. Exosomes are membranous vesicles that rely on cellular multivesicular bodies (MVBs) fused to the cell membrane for release into the extracellular matrix. Almost all cell types are capable of producing and releasing exosomes. As a result, exosomes contain complex RNAs and proteins from their relatives (Cells that secretes exosomes). They can cross biological barriers and participate in biological activities, such as cell migration, angiogenesis, and immune regulation. These properties have made them a popular research topic. Some experts have suggested that exosomes may serve as delivery vehicles for acupuncture to work. This presents both an opportunity and a new challenge for improving the protocols of acupuncture as a treatment for MDD. To better define the relationship between MDD, exosomes, and acupuncture, we reviewed the literature from the last few years. Inclusion criteria included randomized controlled trials and basic trials evaluating acupuncture in the treatment or prevention of MDD, the role of exosomes in the development and progression of MDD, and the role of exosomes in acupuncture. We believe that acupuncture may affect the distribution of exosomes in vivo, and exosomes may be a new carrier for acupuncture treatment of MDD in the future.
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Affiliation(s)
- Qin Lyu
- Graduate School, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Xin Zhou
- Department of Acupuncture and Moxibustion, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Liu-Qing Shi
- Graduate School, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Hai-Yang Chen
- Department of Acupuncture and Moxibustion, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Mei Lu
- Department of Acupuncture and Moxibustion, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Xian-De Ma
- Teaching and Experiment Center, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Lu Ren
- Graduate School, Liaoning University of Traditional Chinese Medicine, Shenyang, China
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15
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Amasi-Hartoonian N, Pariante CM, Cattaneo A, Sforzini L. Understanding treatment-resistant depression using "omics" techniques: A systematic review. J Affect Disord 2022; 318:423-455. [PMID: 36103934 DOI: 10.1016/j.jad.2022.09.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/26/2022] [Accepted: 09/07/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Treatment-resistant depression (TRD) results in huge healthcare costs and poor patient clinical outcomes. Most studies have adopted a "candidate mechanism" approach to investigate TRD pathogenesis, however this is made more challenging due to the complex and heterogeneous nature of this condition. High-throughput "omics" technologies can provide a more holistic view and further insight into the underlying mechanisms involved in TRD development, expanding knowledge beyond already-identified mechanisms. This systematic review assessed the information from studies that examined TRD using hypothesis-free omics techniques. METHODS PubMed, MEDLINE, Embase, APA PsycInfo, Scopus and Web of Science databases were searched on July 2022. 37 human studies met the eligibility criteria, totalling 17,518 TRD patients, 571,402 healthy controls and 62,279 non-TRD depressed patients (including antidepressant responders and untreated MDD patients). RESULTS Significant findings were reported that implicate the role in TRD of various molecules, including polymorphisms, genes, mRNAs and microRNAs. The pathways most commonly reported by the identified studies were involved in immune system and inflammation, neuroplasticity, calcium signalling and neurotransmitters. LIMITATIONS Small sample sizes, variability in defining TRD, and heterogeneity in study design and methodology. CONCLUSIONS These findings provide insight into TRD pathophysiology, proposing future research directions for novel drug targets and potential biomarkers for clinical staging and response to antidepressants (citalopram/escitalopram in particular) and electroconvulsive therapy (ECT). Further validation is warranted in large prospective studies using standardised TRD criteria. A multi-omics and systems biology strategy with a collaborative effort will likely deliver robust findings for translation into the clinic.
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Affiliation(s)
- Nare Amasi-Hartoonian
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, Department of Psychological Medicine, London, UK.
| | - Carmine Maria Pariante
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, Department of Psychological Medicine, London, UK; National Institute for Health and Research Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
| | - Annamaria Cattaneo
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy; Laboratory of Biological Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Luca Sforzini
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, Department of Psychological Medicine, London, UK
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16
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Sun N, Qin YJ, Xu C, Xia T, Du ZW, Zheng LP, Li AA, Meng F, Zhang Y, Zhang J, Liu X, Li TY, Zhu DY, Zhou QG. Design of fast-onset antidepressant by dissociating SERT from nNOS in the DRN. Science 2022; 378:390-398. [PMID: 36302033 DOI: 10.1126/science.abo3566] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Major depressive disorder (MDD) is one of the most common mental disorders. We designed a fast-onset antidepressant that works by disrupting the interaction between the serotonin transporter (SERT) and neuronal nitric oxide synthase (nNOS) in the dorsal raphe nucleus (DRN). Chronic unpredictable mild stress (CMS) selectively increased the SERT-nNOS complex in the DRN in mice. Augmentation of SERT-nNOS interactions in the DRN caused a depression-like phenotype and accounted for the CMS-induced depressive behaviors. Disrupting the SERT-nNOS interaction produced a fast-onset antidepressant effect by enhancing serotonin signaling in forebrain circuits. We discovered a small-molecule compound, ZZL-7, that elicited an antidepressant effect 2 hours after treatment without undesirable side effects. This compound, or analogous reagents, may serve as a new, rapidly acting treatment for MDD.
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Affiliation(s)
- Nan Sun
- State Key Laboratory of Reproductive Medicine, Department of Clinic Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Province Key Laboratory of Anesthesiology, Jiangsu Province Key Laboratory of Anesthesia and Analgesia Application, NMPA Key Laboratory for Research and Evaluation of Narcotic and Psychotropic Drugs, Xuzhou Medical University, Xuzhou 221004, China
| | - Ya-Juan Qin
- Department of Pharmacochemistry, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Chu Xu
- State Key Laboratory of Reproductive Medicine, Department of Clinic Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
- Institute of Dermatology, Chinese Academy of Medical Science and Peking Union Medical College, Nanjing 210042, China
| | - Tian Xia
- State Key Laboratory of Reproductive Medicine, Department of Clinic Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Zi-Wei Du
- State Key Laboratory of Reproductive Medicine, Department of Clinic Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Li-Ping Zheng
- Department of Pharmacochemistry, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - An-An Li
- Jiangsu Key Laboratory of Brain Disease and Bioinformation, Research Center for Biochemistry and Molecular Biology, Xuzhou Medical University, Xu Zhou 221004, China
| | - Fan Meng
- State Key Laboratory of Reproductive Medicine, Department of Clinic Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Yu Zhang
- State Key Laboratory of Reproductive Medicine, Department of Clinic Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Jing Zhang
- State Key Laboratory of Reproductive Medicine, Department of Clinic Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Xiao Liu
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Ting-You Li
- Department of Pharmacochemistry, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Dong-Ya Zhu
- State Key Laboratory of Reproductive Medicine, Department of Clinic Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
- The Key Center of Gene Technology Drugs of Jiangsu Province, Nanjing Medical University, Nanjing 211166, China
| | - Qi-Gang Zhou
- State Key Laboratory of Reproductive Medicine, Department of Clinic Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
- The Key Center of Gene Technology Drugs of Jiangsu Province, Nanjing Medical University, Nanjing 211166, China
- Department of Clinic Pharmacology, Sir runrun Hospital, Nanjing Medical University, Nanjing 211167, China
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17
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Ran LY, Kong YT, Xiang JJ, Zeng Q, Zhang CY, Shi L, Qiu HT, Liu C, Wu LL, Li YL, Chen JM, Ai M, Wang W, Kuang L. Serum extracellular vesicle microRNA dysregulation and childhood trauma in adolescents with major depressive disorder. Bosn J Basic Med Sci 2022; 22:959-971. [PMID: 35659238 PMCID: PMC9589301 DOI: 10.17305/bjbms.2022.7110] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 05/23/2022] [Indexed: 07/20/2023] Open
Abstract
Major depressive disorder (MDD) seriously endangers adolescent mental and physical health. Extracellular vesicles (EVs) are mediators of cellular communication and are involved in many physiological brain processes. Although EV miRNAshave been implicated in adults with major psychiatric disorders, investigation into their effects in adolescent MDDremains scarce. In discovery set, we conducted a genome-wide miRNA sequencing of serum EVs from 9 untreated adolescents with MDD and 8 matched healthy controls (HCs), identifying 32 differentially expressed miRNAs (18 upregulated and 14 downregulated). In the validation set, 8 differentially expressed and highly enriched miRNAs were verified in independent samples using RT-PCR, with 4 (miR-450a-2-3p, miR-3691-5p, miR-556-3p, and miR-2115-3p) of the 8 miRNAs found to be significantly elevated in 34 untreated adolescents with MDD compared with 38 HCs and consistent with the sequencing results. After the Bonferroni correction, we found that three miRNAs (miR-450a-2-3p, miR-556-3p, and miR-2115-3p) were still significantly different. Among them, miR-450a-2-3p showed the most markeddifferential expression and was able to diagnose disease with 67.6% sensitivity and 84.2% specificity. Furthermore, miR-450a-2-3p partially mediated the associations between total childhood trauma, emotional abuse, and physical neglect and adolescent MDD. We also found that the combination of miR-450a-2-3p and emotional abuse could effectively diagnose MDD in adolescents with 82.4% sensitivity and 81.6% specificity. Our data demonstrate the association of serum EV miRNA dysregulation with MDD pathophysiology and, furthermore, show that miRNAs may mediate the relationship between early stress and MDD susceptibility. We also provide a valid integrated model for the diagnosis of adolescent MDD.
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Affiliation(s)
- Liu-Yi Ran
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Yi-Ting Kong
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiao-Jiao Xiang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qi Zeng
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Chen-Yu Zhang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lei Shi
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hai-Tang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Chuan Liu
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Lin-Li Wu
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Ya-Lan Li
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Jian-Mei Chen
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ming Ai
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wo Wang
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Li Kuang
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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18
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Duarte-Silva E, Oriá AC, Mendonça IP, de Melo MG, Paiva IHR, Maes M, Joca SRL, Peixoto CA. TINY IN SIZE, BIG IN IMPACT: EXTRACELLULAR VESICLES AS MODULATORS OF MOOD, ANXIETY AND NEURODEVELOPMENTAL DISORDERS. Neurosci Biobehav Rev 2022; 135:104582. [PMID: 35182538 DOI: 10.1016/j.neubiorev.2022.104582] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 01/17/2022] [Accepted: 02/12/2022] [Indexed: 12/13/2022]
Abstract
Extracellular Vesicles (EVs) are tiny vesicles used by cells as means of cellular communication, through which the function and state of a given cell can be changed. A body of evidence has suggested that EVs could be culprits in the development and progression of various types of diseases, including neurodegenerative diseases such as Multiple Sclerosis (MS) and Alzheimer's Disease (AD). Unsurprisingly, EVs have also been implicate in mood, anxiety and neurodevelopmental disorders, such as Major Depressive Disorder (MDD), anxiety disorder and Autism-Spectrum Disorder (ASD), respectively. Here, we review the state-of-art regarding the roles of EVs in the aforementioned diseases and focus on the mechanisms by which they can cause and worsen disease. Harnessing the knowledge of EVs is not only important to deliver different cargos to cells in a specific manner to treat these diseases, but also to establish reliable disease biomarkers, which will aid in the early disease diagnosis and treatment, increasing the chance of successful treatment.
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Affiliation(s)
- Eduardo Duarte-Silva
- Laboratory of Ultrastructure, Aggeu Magalhães Institute (IAM), Recife, PE, Brazil; Postgraduate Program in Biosciences and Biotechnology for Health (PPGBBS), Oswaldo Cruz Foundation (FIOCRUZ-PE)/Aggeu Magalhães Institute (IAM), Recife, PE, Brazil; Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Recife, PE, Brazil; Department of Neurology, Medical Faculty, University Hospital Düsseldorf, 40255 Düsseldorf, Germany.
| | | | - Ingrid Prata Mendonça
- Laboratory of Ultrastructure, Aggeu Magalhães Institute (IAM), Recife, PE, Brazil; Postgraduate Program in Biological Sciences (PPGCB), Federal University of Pernambuco (UFPE), Recife, PE, Brazil
| | - Michel Gomes de Melo
- Laboratory of Ultrastructure, Aggeu Magalhães Institute (IAM), Recife, PE, Brazil; Postgraduate Program in Biological Sciences (PPGCB), Federal University of Pernambuco (UFPE), Recife, PE, Brazil
| | - Igor Henrique R Paiva
- Laboratory of Ultrastructure, Aggeu Magalhães Institute (IAM), Recife, PE, Brazil; Postgraduate Program in Biological Sciences (PPGCB), Federal University of Pernambuco (UFPE), Recife, PE, Brazil
| | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria; IMPACT Strategic Research Center, Deakin University, Geelong, Australia
| | - Sâmia R L Joca
- School of Pharmaceutical Sciences of Ribeirão Preto (FCFRP), University of São Paulo (USP), Ribeirão Preto, Brazil; Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Christina Alves Peixoto
- Laboratory of Ultrastructure, Aggeu Magalhães Institute (IAM), Recife, PE, Brazil; National Institute of Science and Technology on Neuroimmunomodulation (INCT-NIM, CNPq), Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
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19
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Naveed M, Li LD, Sheng G, Du ZW, Zhou YP, Nan S, Zhu MY, Zhang J, Zhou QG. Agomelatine: An astounding sui-generis antidepressant? Curr Mol Pharmacol 2021; 15:943-961. [PMID: 34886787 DOI: 10.2174/1874467214666211209142546] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 05/09/2021] [Accepted: 06/25/2021] [Indexed: 11/22/2022]
Abstract
Major depressive disorder (MDD) is one of the foremost causes of disability and premature death worldwide. Although the available antidepressants are effective and well tolerated, they also have many limitations. Therapeutic advances in developing a new drug's ultimate relation between MDD and chronobiology, which targets the circadian rhythm, have led to a renewed focus on psychiatric disorders. In order to provide a critical analysis about antidepressant properties of agomelatine, a detailed PubMed (Medline), Scopus (Embase), Web of Science (Web of Knowledge), Cochrane Library, Google Scholar, and PsycInfo search was performed using the following keywords: melatonin analog, agomelatine, safety, efficacy, adverse effects, pharmacokinetics, pharmacodynamics, circadian rhythm, sleep disorders, neuroplasticity, MDD, bipolar disorder, anhedonia, anxiety, generalized anxiety disorder (GAD), and mood disorders. Agomelatine is a unique melatonin analog with antidepressant properties and a large therapeutic index that improves clinical safety. It is a melatonin receptor agonist (MT1 and MT2) and a 5-HT2C receptor antagonist. The effects on melatonin receptors enable the resynchronization of irregular circadian rhythms with beneficial effects on sleep architectures. In this way, agomelatine is accredited for its unique mode of action, which helps to exert antidepressant effects and resynchronize the sleep-wake cycle. To sum up, an agomelatine has not only antidepressant properties but also has anxiolytic effects.
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Affiliation(s)
- Muhammad Naveed
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166. China
| | - Lian-Di Li
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166. China
| | - Gang Sheng
- Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166. China
| | - Zi-Wei Du
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166. China
| | - Ya-Ping Zhou
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166. China
| | - Sun Nan
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166. China
| | - Ming-Yi Zhu
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166. China
| | - Jing Zhang
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166. China
| | - Qi-Gang Zhou
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166. China
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