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Huang L, Chen X, Tao Q, Wang X, Huang X, Fu Y, Yang Y, Deng S, Lin S, So KF, Song X, Ren C. Bright light treatment counteracts stress-induced sleep alterations in mice, via a visual circuit related to the rostromedial tegmental nucleus. PLoS Biol 2023; 21:e3002282. [PMID: 37676855 PMCID: PMC10484455 DOI: 10.1371/journal.pbio.3002282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 07/31/2023] [Indexed: 09/09/2023] Open
Abstract
Light in the environment greatly impacts a variety of brain functions, including sleep. Clinical evidence suggests that bright light treatment has a beneficial effect on stress-related diseases. Although stress can alter sleep patterns, the effect of bright light treatment on stress-induced sleep alterations and the underlying mechanism are poorly understood. Here, we show that bright light treatment reduces the increase in nonrapid eye movement (NREM) sleep induced by chronic stress through a di-synaptic visual circuit consisting of the thalamic ventral lateral geniculate nucleus and intergeniculate leaflet (vLGN/IGL), lateral habenula (LHb), and rostromedial tegmental nucleus (RMTg). Specifically, chronic stress causes a marked increase in NREM sleep duration and a complementary decrease in wakefulness time in mice. Specific activation of RMTg-projecting LHb neurons or activation of RMTg neurons receiving direct LHb inputs mimics the effects of chronic stress on sleep patterns, while inhibition of RMTg-projecting LHb neurons or RMTg neurons receiving direct LHb inputs reduces the NREM sleep-promoting effects of chronic stress. Importantly, we demonstrate that bright light treatment reduces the NREM sleep-promoting effects of chronic stress through the vLGN/IGL-LHb-RMTg pathway. Together, our results provide a circuit mechanism underlying the effects of bright light treatment on sleep alterations induced by chronic stress.
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Affiliation(s)
- Lu Huang
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Xi Chen
- Department of Anesthesiology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Qian Tao
- Psychology Department, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaoli Wang
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Xiaodan Huang
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Yunwei Fu
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Yan Yang
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Shijie Deng
- Department of Anesthesiology, Jiangmen Central Hospital, Guangdong, China
| | - Song Lin
- Physiology Department, School of Medicine, Jinan University, Guangzhou, China
| | - Kwok-Fai So
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
- Center for Brain Science and Brain-Inspired Intelligence, Guangdong-Hong Kong-Macao Greater Bay Area, Guangzhou, China
- Key Laboratory of Brain and Cognitive Science, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Neuroscience and Neurorehabilitation Institute, University of Health and Rehabilitation Sciences, Qingdao, China
| | - Xingrong Song
- Department of Anesthesiology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Chaoran Ren
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
- Center for Brain Science and Brain-Inspired Intelligence, Guangdong-Hong Kong-Macao Greater Bay Area, Guangzhou, China
- Neuroscience and Neurorehabilitation Institute, University of Health and Rehabilitation Sciences, Qingdao, China
- Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China
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Ren YT, Tian HP, Xu JL, Liu MQ, Cai K, Chen SL, Ni XB, Li YR, Hou W, Chen LJ. Extensive genetic diversity of severe fever with thrombocytopenia syndrome virus circulating in Hubei Province, China, 2018-2022. PLoS Negl Trop Dis 2023; 17:e0011654. [PMID: 37721962 PMCID: PMC10538666 DOI: 10.1371/journal.pntd.0011654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 09/28/2023] [Accepted: 09/11/2023] [Indexed: 09/20/2023] Open
Abstract
Severe fever with thrombocytopenia syndrome virus (SFTSV), an etiological agent causing febrile human disease was identified as an emerging tick-borne bunyavirus. The clinical disease characteristics and case fatality rates of SFTSV may vary across distinct regions and among different variant genotypes. From 2018 to 2022, we surveyed and recruited 202 severe fever with thrombocytopenia syndrome (SFTS) patients in Hubei Province, a high-incidence area of the epidemic, and conducted timely and systematic research on the disease characteristics, SFTSV diversity, and the correlation between virus genome variation and clinical diseases. Our study identified at least 6 genotypes of SFTSV prevalent in Hubei Province based on the analysis of the S, M, and L genome sequences of 88 virus strains. Strikingly, the dominant genotype of SFTSV was found to change during the years, indicating a dynamic shift in viral genetic diversity in the region. Phylogenetic analysis revealed the genetic exchange of Hubei SFTSV strains was relatively frequent, including 3 reassortment strains and 8 recombination strains. Despite the limited sample size, SFTSV C1 genotype may be associated with higher mortality compared to the other four genotypes, and the serum amyloid A (SAA) level, an inflammatory biomarker, was significantly elevated in these patients. Overall, our data summarize the disease characteristics of SFTSV in Hubei Province, highlight the profound changes in viral genetic diversity, and indicate the need for in-depth monitoring and exploration of the relationship between viral mutations and disease severity.
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Affiliation(s)
- Yu-ting Ren
- State Key Laboratory of Virology/Department of Laboratory Medicine/Hubei Provincial Key Laboratory of Allergy and Immunology, Zhongnan Hospital/School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Hong-pan Tian
- State Key Laboratory of Virology/Department of Laboratory Medicine/Hubei Provincial Key Laboratory of Allergy and Immunology, Zhongnan Hospital/School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Jia-le Xu
- State Key Laboratory of Virology/Department of Laboratory Medicine/Hubei Provincial Key Laboratory of Allergy and Immunology, Zhongnan Hospital/School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Man-qing Liu
- Division of Virology, Wuhan Center for Disease Control & Prevention, Wuhan, China
| | - Kun Cai
- Institute of Health Inspection and Testing, Hubei Provincial Center for Disease Control & Prevention, Wuhan, China
| | - Shu-liang Chen
- State Key Laboratory of Virology/Department of Laboratory Medicine/Hubei Provincial Key Laboratory of Allergy and Immunology, Zhongnan Hospital/School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Xue-bing Ni
- State Key Laboratory of Emerging Infectious Diseases and Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong SAR, P. R. China
| | - Yi-rong Li
- State Key Laboratory of Virology/Department of Laboratory Medicine/Hubei Provincial Key Laboratory of Allergy and Immunology, Zhongnan Hospital/School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Wei Hou
- State Key Laboratory of Virology/Department of Laboratory Medicine/Hubei Provincial Key Laboratory of Allergy and Immunology, Zhongnan Hospital/School of Basic Medical Sciences, Wuhan University, Wuhan, China
- School of Public Health, Wuhan University, Wuhan, China
| | - Liang-jun Chen
- State Key Laboratory of Virology/Department of Laboratory Medicine/Hubei Provincial Key Laboratory of Allergy and Immunology, Zhongnan Hospital/School of Basic Medical Sciences, Wuhan University, Wuhan, China
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Chen Y, Li H, Zhu Z, Zhao C. A Method for Achieving Nanoscale Visual Positioning Measurement Based on Ultra-Precision Machining Microstructures. Micromachines (Basel) 2023; 14:1444. [PMID: 37512755 PMCID: PMC10385414 DOI: 10.3390/mi14071444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/16/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023]
Abstract
Microscopic visual measurement is one of the main methods used for precision measurements. The observation morphology and image registration algorithm used in the measurement directly affect the accuracy and speed of the measurement. This paper analyzes the influence of morphology on different image registration algorithms through the imaging process of surface morphology and finds that complex morphology has more features, which can improve the accuracy of image registration. Therefore, the surface microstructure of ultra-precision machining is an ideal observation object. In addition, by comparing and analyzing the measurement results of commonly used image registration algorithms, we adopt a method of using the high-speed SURF algorithm for rough measurement and then combining the robust template-matching algorithm with image interpolation for precise measurements. Finally, this method has a repeatability of approximately 54 nm when measuring a planar displacement of 25 μm.
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Affiliation(s)
- Yihan Chen
- School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
| | - Honglu Li
- School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
| | - Zijian Zhu
- School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
| | - Chenyang Zhao
- School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
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