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Bian X, Wang Q, Wang Y, Lou S. The function of previously unappreciated exerkines secreted by muscle in regulation of neurodegenerative diseases. Front Mol Neurosci 2024; 16:1305208. [PMID: 38249295 PMCID: PMC10796786 DOI: 10.3389/fnmol.2023.1305208] [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: 10/05/2023] [Accepted: 12/05/2023] [Indexed: 01/23/2024] Open
Abstract
The initiation and progression of neurodegenerative diseases (NDs), distinguished by compromised nervous system integrity, profoundly disrupt the quality of life of patients, concurrently exerting a considerable strain on both the economy and the social healthcare infrastructure. Exercise has demonstrated its potential as both an effective preventive intervention and a rehabilitation approach among the emerging therapeutics targeting NDs. As the largest secretory organ, skeletal muscle possesses the capacity to secrete myokines, and these myokines can partially improve the prognosis of NDs by mediating the muscle-brain axis. Besides the well-studied exerkines, which are secreted by skeletal muscle during exercise that pivotally exert their beneficial function, the physiological function of novel exerkines, e.g., apelin, kynurenic acid (KYNA), and lactate have been underappreciated previously. Herein, this review discusses the roles of these novel exerkines and their mechanisms in regulating the progression and improvement of NDs, especially the significance of their functions in improving NDs' prognoses through exercise. Furthermore, several myokines with potential implications in ameliorating ND progression are proposed as the future direction for investigation. Elucidation of the function of exerkines secreted by skeletal muscle in the regulation of NDs advances the understanding of its pathogenesis and facilitates the development of therapeutics that intervene in these processes to cure NDs.
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Affiliation(s)
- Xuepeng Bian
- School of Exercise and Health, Shanghai University of Sport, Shanghai, China
| | - Qian Wang
- Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia
| | - Yibing Wang
- School of Exercise and Health, Shanghai University of Sport, Shanghai, China
| | - Shujie Lou
- School of Exercise and Health, Shanghai University of Sport, Shanghai, China
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Yang Y, Kong D, Li Q, Chen W, Zhao G, Tan X, Huang X, Zhang Z, Feng C, Xu M, Wan Y, Yang M. Non-antipsychotic medicines and modified electroconvulsive therapy are risk factors for hospital-acquired pneumonia in schizophrenia patients. Front Psychiatry 2022; 13:1071079. [PMID: 36713903 PMCID: PMC9880231 DOI: 10.3389/fpsyt.2022.1071079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 12/28/2022] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Hospital-acquired pneumonia (HAP) has a significant and detrimental impact on schizophrenia patients. Non-antipsychotic medicines and modified electroconvulsive therapy (MECT) are frequently used in conjunction with antipsychotics to treat schizophrenia. Whether non-antipsychotic medicines or MECT are risk factors for HAP in schizophrenia treated with antipsychotics is still unknown. METHODS Patients with schizophrenia who were admitted to the Fourth People's Hospital of Chengdu between January 2015 and April 2022 were included in this retrospective cohort study. Individuals with HAP were 1:1 matched to individuals without HAP (non-HAP) using propensity score matching (PSM). The risk factors for HAP were analyzed by comparing the two groups. RESULTS A total of 7,085 schizophrenia patients were included in this study, with a mean age of 39.77 ± 14.45 years. 193 patients developed HAP on an average of 22.26 ± 21.68 days after admission with an incidence of 2.73%. After 1:1 PSM, 192 patients from each group (HAP and non-HAP) were included. The HAP group had significantly more patients with MECT and taking benzodiazepines, antidepressants, mood stabilizers, and anti-parkinsonians both before and after PSM by Bonferroni correction (P < 0.001). Multivariate logistic regression analysis showed that, combined with antipsychotics, non-antipsychotic medicines including benzodiazepines (OR = 3.13, 95%CI = 1.95-5.03, P < 0.001), mood stabilizers (OR =3.33, 95%CI =1.79-6.20, P < 0.001) and MECT (OR =2.58, 95%CI =1.49-4.46, P = 0.001) were associated with a significantly increased incidence of HAP. CONCLUSION The incidence of HAP in schizophrenia patients in our cohort was 2.73%. MECT and non-antipsychotic medicines, including benzodiazepines and mood stabilizers were risk factors for HAP in schizophrenia patients treated with antipsychotics.
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Affiliation(s)
- Yan Yang
- The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Di Kong
- The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Qiwen Li
- The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Wei Chen
- The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Guocheng Zhao
- The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Xi Tan
- The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Xincheng Huang
- The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Zipeng Zhang
- The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Can Feng
- The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Min Xu
- The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Ying Wan
- The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Mi Yang
- The Fourth People's Hospital of Chengdu, Chengdu, Sichuan, China.,MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
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