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Okdeh N, Mahfouz G, Harb J, Sabatier JM, Roufayel R, Gazo Hanna E, Kovacic H, Fajloun Z. Protective Role and Functional Engineering of Neuropeptides in Depression and Anxiety: An Overview. Bioengineering (Basel) 2023; 10:258. [PMID: 36829752 PMCID: PMC9952193 DOI: 10.3390/bioengineering10020258] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 02/09/2023] [Accepted: 02/14/2023] [Indexed: 02/18/2023] Open
Abstract
Behavioral disorders, such as anxiety and depression, are prevalent globally and touch children and adults on a regular basis. Therefore, it is critical to comprehend how these disorders are affected. It has been demonstrated that neuropeptides can influence behavior, emotional reactions, and behavioral disorders. This review highlights the majority of the findings demonstrating neuropeptides' behavioral role and functional engineering in depression and anxiety. Gut-brain peptides, hypothalamic releasing hormone peptides, opioid peptides, and pituitary hormone peptides are the four major groups of neuropeptides discussed. Some neuropeptides appear to promote depression and anxiety-like symptoms, whereas others seem to reduce it, all depending on the receptors they are acting on and on the brain region they are localized in. The data supplied here are an excellent starting point for future therapy interventions aimed at treating anxiety and depression.
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Affiliation(s)
- Nathalie Okdeh
- Department of Biology, Faculty of Sciences 3, Campus Michel Slayman Ras Maska, Lebanese University, Tripoli 1352, Lebanon
| | - Georges Mahfouz
- Department of Psychology, Faculty of Arts and Sciences, Beirut Campus, American University of Beirut, Beirut P.O. Box 11-0236, Lebanon
| | - Julien Harb
- Faculty of Medicine and Medical Sciences, Dekouene Campus, University of Balamand, Sin El Fil 55251, Lebanon
| | - Jean-Marc Sabatier
- CNRS, INP, Inst Neurophysiopathol, Aix-Marseille Université, 13385 Marseille, France
| | - Rabih Roufayel
- College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
| | - Eddie Gazo Hanna
- College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
| | - Hervé Kovacic
- CNRS, INP, Inst Neurophysiopathol, Aix-Marseille Université, 13385 Marseille, France
| | - Ziad Fajloun
- Department of Biology, Faculty of Sciences 3, Campus Michel Slayman Ras Maska, Lebanese University, Tripoli 1352, Lebanon
- Laboratory of Applied Biotechnology (LBA3B), Azm Center for Research in Biotechnology and Its Applications, EDST, Lebanese University, Tripoli 1300, Lebanon
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Li S, Luo H, Lou R, Tian C, Miao C, Xia L, Pan C, Duan X, Dang T, Li H, Fan C, Tang P, Zhang Z, Liu Y, Li Y, Xu F, Zhang Y, Zhong G, Hu J, Shui W. Multiregional profiling of the brain transmembrane proteome uncovers novel regulators of depression. SCIENCE ADVANCES 2021; 7:eabf0634. [PMID: 34290087 PMCID: PMC8294761 DOI: 10.1126/sciadv.abf0634] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Accepted: 06/03/2021] [Indexed: 05/09/2023]
Abstract
Transmembrane proteins play vital roles in mediating synaptic transmission, plasticity, and homeostasis in the brain. However, these proteins, especially the G protein-coupled receptors (GPCRs), are underrepresented in most large-scale proteomic surveys. Here, we present a new proteomic approach aided by deep learning models for comprehensive profiling of transmembrane protein families in multiple mouse brain regions. Our multiregional proteome profiling highlights the considerable discrepancy between messenger RNA and protein distribution, especially for region-enriched GPCRs, and predicts an endogenous GPCR interaction network in the brain. Furthermore, our new approach reveals the transmembrane proteome remodeling landscape in the brain of a mouse depression model, which led to the identification of two previously unknown GPCR regulators of depressive-like behaviors. Our study provides an enabling technology and rich data resource to expand the understanding of transmembrane proteome organization and dynamics in the brain and accelerate the discovery of potential therapeutic targets for depression treatment.
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Affiliation(s)
- Shanshan Li
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
| | - Huoqing Luo
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ronghui Lou
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Cuiping Tian
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
| | - Chen Miao
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
| | - Lisha Xia
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chen Pan
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
| | - Xiaoxiao Duan
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
| | - Ting Dang
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hui Li
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
| | - Chengyu Fan
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Pan Tang
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhuangzhuang Zhang
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yan Liu
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
| | - Yunxia Li
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
| | - Fei Xu
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Yaoyang Zhang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
| | - Guisheng Zhong
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Ji Hu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Wenqing Shui
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
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