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Desmeules C, Corbeil O, Huot-Lavoie M, Béchard L, Brodeur S, Demers MF, Roy MA, Deslauriers J. Psychotic Disorders and exosomes: An overview of current evidence and future directions. Psychiatry Res 2024; 339:116066. [PMID: 38996632 DOI: 10.1016/j.psychres.2024.116066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 06/01/2024] [Accepted: 06/27/2024] [Indexed: 07/14/2024]
Abstract
Due to its reliance on heterogeneous symptomatology, the accurate diagnosis of psychotic disorders remains a challenging task in clinical practice. Precise and early diagnosis of psychotic disorders facilitates early intervention, which has been shown to have substantial benefits for long-term outcomes. Still, the lack of specific biomarkers is an important limitation in early diagnosis and intervention. Exosomes, which act as messengers between cells, including brain cells, contain a vast array of molecules that hold promise for unveiling disorder-specific abnormalities. In this review, we discuss recent evidence highlighting the potential of circulating exosomes and brain-derived exosomes as valuable tools for the identification of accessible, non-invasive, and blood-based biomarkers of psychotic symptomatology and risk. We discuss current limitations in biomarker discovery studies focusing on exosomes. To enhance diagnosis specificity and treatment response, we also provide guidance for future investigations that need to target biomarkers of risk and relapse, as well as consider duration of untreated psychosis, biological sex, and other factors in the multifactorial biosignature of psychosis.
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Affiliation(s)
- Charles Desmeules
- Centre Hospitalier Universitaire (CHU) de Québec-Université Laval Research Centre, Québec, QC G1V 4G2, Canada; CERVO Brain Research Centre, Québec, QC G1E 1T2, Canada; Faculty of Medicine, Université Laval, Québec, QC G1V 0A6, Canada
| | - Olivier Corbeil
- CERVO Brain Research Centre, Québec, QC G1E 1T2, Canada; Faculty of Pharmacy, Université Laval, Québec, QC G1V 0A6, Canada; CIUSSS-CN, Quebec Mental Health University Institute, Québec, QC G1J 2G3, Canada
| | - Maxime Huot-Lavoie
- CERVO Brain Research Centre, Québec, QC G1E 1T2, Canada; Faculty of Medicine, Université Laval, Québec, QC G1V 0A6, Canada
| | - Laurent Béchard
- CERVO Brain Research Centre, Québec, QC G1E 1T2, Canada; Faculty of Pharmacy, Université Laval, Québec, QC G1V 0A6, Canada; CIUSSS-CN, Quebec Mental Health University Institute, Québec, QC G1J 2G3, Canada
| | - Sébastien Brodeur
- CERVO Brain Research Centre, Québec, QC G1E 1T2, Canada; CIUSSS-CN, Quebec Mental Health University Institute, Québec, QC G1J 2G3, Canada
| | - Marie-France Demers
- CERVO Brain Research Centre, Québec, QC G1E 1T2, Canada; Faculty of Pharmacy, Université Laval, Québec, QC G1V 0A6, Canada; CIUSSS-CN, Quebec Mental Health University Institute, Québec, QC G1J 2G3, Canada
| | - Marc-André Roy
- CERVO Brain Research Centre, Québec, QC G1E 1T2, Canada; Faculty of Medicine, Université Laval, Québec, QC G1V 0A6, Canada; CIUSSS-CN, Quebec Mental Health University Institute, Québec, QC G1J 2G3, Canada
| | - Jessica Deslauriers
- Centre Hospitalier Universitaire (CHU) de Québec-Université Laval Research Centre, Québec, QC G1V 4G2, Canada; Faculty of Pharmacy, Université Laval, Québec, QC G1V 0A6, Canada.
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Shboul M, Bani Domi A, Abu Zahra A, Khasawneh AG, Darweesh R. Plasma miRNAs as potential biomarkers for schizophrenia in a Jordanian cohort. Noncoding RNA Res 2024; 9:350-358. [PMID: 38511065 PMCID: PMC10950580 DOI: 10.1016/j.ncrna.2024.01.018] [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: 11/23/2023] [Revised: 01/15/2024] [Accepted: 01/30/2024] [Indexed: 03/22/2024] Open
Abstract
Background Schizophrenia (SZ), a complex and chronic neuropsychiatric disorder affecting approximately 1 % of the general population, presents diagnostic challenges due to the absence of reliable biomarkers, and relying mainly on clinical observations. MicroRNAs (miRNAs) signatures in a wide range of diseases, including psychiatric disorders, hold immense potential for serving as biomarkers. This study aimed to analyze the expression levels of specific microRNAs (miRNAs) namely miR-29b-3p, miR-106b-5p, and miR-199a-3p and explore their diagnostic potential for SZ in Jordanian patients. Methods Small RNAs (miRNAs) were extracted from plasma samples of 30 SZ patients and 35 healthy controls. RNA was reverse transcribed and quantified by real-time polymerase chain reaction (qRT-PCR). The expression levels of three miRNAs (miR-29b-3p, miR-106b-5p and miR-199a-3p) were analyzed. Receiver operating characteristic (ROC) curves analysis was performed to evaluate diagnostic value of these miRNAs. Target genes prediction, functional enrichment and pathway analyses were done using miRWalk and Metascape. STRING database was used to construct protein-protein network and identify hub genes. Results Notably, miR-106b-5p and miR-199a-3p were significantly upregulated (p < 0.0001), while miRNA-29b-3p was downregulated (p < 0.0001) in SZ patients compared to controls. The diagnostic potential was assessed through ROC curves, revealing substantial diagnostic value for miR-199a-3p (AUC: 0.979) followed by miR-106b-5p (AUC: 0.774), with limited diagnostic efficacy for miR-29b-3p. Additionally, bioinformatic analyses for the predicted target genes of the diagnostically significant miRNAs uncovered Gene Ontology (GO) terms related to neurological development, including morphogenesis, which is involved in neuron differentiation, brain development, head development, and neuron projection morphogenesis. These findings highlight a potential connection between the identified miRNAs and SZ pathophysiology in the studied Jordanian population. Furthermore, a protein-protein interaction network from the target genes identified in association with neurological development in the Gene Ontology (GO) terms deepens our comprehension of the molecular landscape of the regulated target genes. Conclusions This comprehensive exploration highlights the promising role of miRNAs in unraveling intricate molecular pathways associated with SZ in the Jordanian cohort and suggests that plasma miRNAs could serve as reliable biomarkers for SZ diagnosis and disease progression. Remarkably, this study represents the first investigation into the role of circulating miRNA expression among Jordanian patients with SZ, providing valuable insights into the diagnostic landscape of this disorder.
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Affiliation(s)
- Mohammad Shboul
- Department of Medical Laboratory Sciences, Faculty of Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan
| | - Amal Bani Domi
- Department of Medical Laboratory Sciences, Faculty of Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan
| | - Abdulmalek Abu Zahra
- Department of Medical Laboratory Sciences, Faculty of Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan
| | - Aws G. Khasawneh
- Department of Neurosciences, Faculty of Medicine, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan
| | - Reem Darweesh
- Department of Medical Laboratory Sciences, Faculty of Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan
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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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Lorca C, Fernández-Rhodes M, Sánchez Milán JA, Mulet M, Elortza F, Ramos-Miguel A, Callado LF, Meana JJ, Mur M, Batalla I, Vilella E, Serra A, Gallart-Palau X. Next-Generation Proteomics of Brain Extracellular Vesicles in Schizophrenia Provide New Clues on the Altered Molecular Connectome. Biomedicines 2024; 12:129. [PMID: 38255234 PMCID: PMC10812948 DOI: 10.3390/biomedicines12010129] [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: 12/20/2023] [Revised: 12/30/2023] [Accepted: 01/05/2024] [Indexed: 01/24/2024] Open
Abstract
Extracellular vesicles (EVs) are tiny membranous structures that mediate intercellular communication. The role(s) of these vesicles have been widely investigated in the context of neurological diseases; however, their potential implications in the neuropathology subjacent to human psychiatric disorders remain mostly unknown. Here, by using next-generation discovery-driven proteomics, we investigate the potential role(s) of brain EVs (bEVs) in schizophrenia (SZ) by analyzing these vesicles from the three post-mortem anatomical brain regions: the prefrontal cortex (PFC), hippocampus (HC), and caudate (CAU). The results obtained indicate that bEVs from SZ-affected brains contain region-specific proteins that are associated with abnormal GABAergic and glutamatergic transmission. Similarly, these vesicles from the analyzed regions were implicated in synaptic decay, abnormal brain immunity, neuron structural imbalances, and impaired cell homeostasis. Our findings also provide evidence, for the first time, that networks of molecular exchange (involving the PFC, HC, and CAU) are potentially active and mediated by EVs in non-diseased brains. Additionally, these bEV-mediated networks seem to have become partially reversed and largely disrupted in the brains of subjects affected by SZ. Taken as a whole, these results open the door to the uncovering of new biological markers and therapeutic targets, based on the compositions of bEVs, for the benefit of patients affected by SZ and related psychotic disorders.
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Affiliation(s)
- Cristina Lorca
- Biomedical Research Institute of Lleida Dr. Pifarré Foundation (IRBLLEIDA), Neuroscience Area, +Pec Proteomics Research Group (+PPRG), University Hospital Arnau de Vilanova (HUAV), 80 Av. Rovira Roure, 25198 Lleida, Spain; (C.L.); (M.F.-R.); (J.A.S.M.); (M.M.)
- Department of Medical Basic Sciences, Biomedical Research Institute of Lleida Dr. Pifarré Foundation (IRBLLEIDA), +Pec Proteomics Research Group (+PPRG), University of Lleida (UdL), 25198 Lleida, Spain
| | - María Fernández-Rhodes
- Biomedical Research Institute of Lleida Dr. Pifarré Foundation (IRBLLEIDA), Neuroscience Area, +Pec Proteomics Research Group (+PPRG), University Hospital Arnau de Vilanova (HUAV), 80 Av. Rovira Roure, 25198 Lleida, Spain; (C.L.); (M.F.-R.); (J.A.S.M.); (M.M.)
- Department of Medical Basic Sciences, Biomedical Research Institute of Lleida Dr. Pifarré Foundation (IRBLLEIDA), +Pec Proteomics Research Group (+PPRG), University of Lleida (UdL), 25198 Lleida, Spain
| | - Jose Antonio Sánchez Milán
- Biomedical Research Institute of Lleida Dr. Pifarré Foundation (IRBLLEIDA), Neuroscience Area, +Pec Proteomics Research Group (+PPRG), University Hospital Arnau de Vilanova (HUAV), 80 Av. Rovira Roure, 25198 Lleida, Spain; (C.L.); (M.F.-R.); (J.A.S.M.); (M.M.)
- Department of Medical Basic Sciences, Biomedical Research Institute of Lleida Dr. Pifarré Foundation (IRBLLEIDA), +Pec Proteomics Research Group (+PPRG), University of Lleida (UdL), 25198 Lleida, Spain
| | - María Mulet
- Biomedical Research Institute of Lleida Dr. Pifarré Foundation (IRBLLEIDA), Neuroscience Area, +Pec Proteomics Research Group (+PPRG), University Hospital Arnau de Vilanova (HUAV), 80 Av. Rovira Roure, 25198 Lleida, Spain; (C.L.); (M.F.-R.); (J.A.S.M.); (M.M.)
- Department of Medical Basic Sciences, Biomedical Research Institute of Lleida Dr. Pifarré Foundation (IRBLLEIDA), +Pec Proteomics Research Group (+PPRG), University of Lleida (UdL), 25198 Lleida, Spain
| | - Félix Elortza
- Proteomics Platform, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), CIBERehd, Science and Technology Park of Bizkaia, 48160 Derio, Spain;
| | - Alfredo Ramos-Miguel
- Department of Pharmacology, University of the Basque Country UPV/EHU, 48940 Leioa, Spain; (A.R.-M.); (L.F.C.); (J.J.M.)
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 43206 Reus, Spain
| | - Luis F. Callado
- Department of Pharmacology, University of the Basque Country UPV/EHU, 48940 Leioa, Spain; (A.R.-M.); (L.F.C.); (J.J.M.)
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 43206 Reus, Spain
| | - J. Javier Meana
- Department of Pharmacology, University of the Basque Country UPV/EHU, 48940 Leioa, Spain; (A.R.-M.); (L.F.C.); (J.J.M.)
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 43206 Reus, Spain
| | - Maria Mur
- Psychiatry Department, Hospital Universitari Santa Maria, Medicine Department, Universitat de Lleida (UdL), 25198 Lleida, Spain; (M.M.); (I.B.)
| | - Iolanda Batalla
- Psychiatry Department, Hospital Universitari Santa Maria, Medicine Department, Universitat de Lleida (UdL), 25198 Lleida, Spain; (M.M.); (I.B.)
| | - Elisabet Vilella
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 43206 Reus, Spain
- Hospital Universitari Institut Pere Mata, Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, Universitat Rovira i Virgili, 43206 Reus, Spain
| | - Aida Serra
- Department of Medical Basic Sciences, Biomedical Research Institute of Lleida Dr. Pifarré Foundation (IRBLLEIDA), +Pec Proteomics Research Group (+PPRG), University of Lleida (UdL), 25198 Lleida, Spain
| | - Xavier Gallart-Palau
- Biomedical Research Institute of Lleida Dr. Pifarré Foundation (IRBLLEIDA), Neuroscience Area, +Pec Proteomics Research Group (+PPRG), University Hospital Arnau de Vilanova (HUAV), 80 Av. Rovira Roure, 25198 Lleida, Spain; (C.L.); (M.F.-R.); (J.A.S.M.); (M.M.)
- Department of Psychology, University of Lleida (UdL), 25001 Lleida, Spain
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Dai J, Zhang MZ, He QQ, Chen R. The emerging role of exosomes in Schizophrenia. Psychiatry Res 2023; 327:115394. [PMID: 37536144 DOI: 10.1016/j.psychres.2023.115394] [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: 03/10/2023] [Revised: 07/25/2023] [Accepted: 07/29/2023] [Indexed: 08/05/2023]
Abstract
Schizophrenia (SCZ), a serious mental disorder, is one of the leading causes of disease burden worldwide. Exosomes, as a natural nanocarrier, are able to cross the blood-brain barrier (BBB) and play a key bridging role in central nervous system (CNS) communication, participating in important physiological processes such as neural regeneration, prominent plasticity, axonal support, and neuroinflammation. In recent years, exosomes have received widespread attention in the field of neurodegenerative diseases and mental disorders, especially Alzheimer's disease. However, there are few reviews on exosomes and SCZ. Therefore, we conducted a literature search in PubMed and Web of Science using the following search terms: "schizophrenia", "mental disorder", "central system", "exosome", "extracellular vesicles" to identify publications from January 2010 to December 2022. Our review summarized exosomes secreted by different cell types in the CNS and the double-edged role of exosomes in the development of SCZ, and discussed their future potential as biomarkers and therapeutic targets. In conclusion, this article provides an up-to-date overview of the current research on the involvement of exosomes in SCZ, while also highlighting the challenges that are currently faced in this field.
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Affiliation(s)
- Jie Dai
- School of Public Health, Wuhan University, Wuhan, China
| | - Min-Zhe Zhang
- School of Public Health, Wuhan University, Wuhan, China
| | - Qi-Qiang He
- School of Public Health, Wuhan University, Wuhan, China; Hubei Biomass-Resource Chemistry and Environmental Biotechnology Key Laboratory, Wuhan University, Wuhan, China
| | - Rui Chen
- School of Public Health, Wuhan University, Wuhan, China.
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Teng J, Mi C, Shi J, Li N. Brain disease research based on functional magnetic resonance imaging data and machine learning: a review. Front Neurosci 2023; 17:1227491. [PMID: 37662098 PMCID: PMC10469689 DOI: 10.3389/fnins.2023.1227491] [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: 05/23/2023] [Accepted: 07/13/2023] [Indexed: 09/05/2023] Open
Abstract
Brain diseases, including neurodegenerative diseases and neuropsychiatric diseases, have long plagued the lives of the affected populations and caused a huge burden on public health. Functional magnetic resonance imaging (fMRI) is an excellent neuroimaging technology for measuring brain activity, which provides new insight for clinicians to help diagnose brain diseases. In recent years, machine learning methods have displayed superior performance in diagnosing brain diseases compared to conventional methods, attracting great attention from researchers. This paper reviews the representative research of machine learning methods in brain disease diagnosis based on fMRI data in the recent three years, focusing on the most frequent four active brain disease studies, including Alzheimer's disease/mild cognitive impairment, autism spectrum disorders, schizophrenia, and Parkinson's disease. We summarize these 55 articles from multiple perspectives, including the effect of the size of subjects, extracted features, feature selection methods, classification models, validation methods, and corresponding accuracies. Finally, we analyze these articles and introduce future research directions to provide neuroimaging scientists and researchers in the interdisciplinary fields of computing and medicine with new ideas for AI-aided brain disease diagnosis.
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Affiliation(s)
- Jing Teng
- School of Control and Computer Engineering, North China Electric Power University, Beijing, China
| | - Chunlin Mi
- School of Control and Computer Engineering, North China Electric Power University, Beijing, China
| | - Jian Shi
- Department of Hematology and Critical Care Medicine, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Na Li
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, China
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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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8
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Sun YM, Chen J. Editorial: New insights into schizophrenia-related neural and behavioral phenotypes. Front Cell Neurosci 2023; 17:1202230. [PMID: 37234917 PMCID: PMC10206298 DOI: 10.3389/fncel.2023.1202230] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 04/21/2023] [Indexed: 05/28/2023] Open
Affiliation(s)
| | - Ji Chen
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
- Department of Psychiatry, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
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