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Tu Y, Fang Y, Li G, Xiong F, Gao F. Glymphatic System Dysfunction Underlying Schizophrenia Is Associated With Cognitive Impairment. Schizophr Bull 2024:sbae039. [PMID: 38581275 DOI: 10.1093/schbul/sbae039] [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] [Indexed: 04/08/2024]
Abstract
BACKGROUND AND HYPOTHESIS Despite the well-documented structural and functional brain changes in schizophrenia, the potential role of glymphatic dysfunction remains largely unexplored. This study investigates the glymphatic system's function in schizophrenia, utilizing diffusion tensor imaging (DTI) to analyze water diffusion along the perivascular space (ALPS), and examines its correlation with clinical symptoms. STUDY DESIGN A cohort consisting of 43 people with schizophrenia and 108 healthy controls was examined. We quantified water diffusion metrics along the x-, y-, and z-axis in both projection and association fibers to derive the DTI-ALPS index, a proxy for glymphatic activity. The differences in the ALPS index between groups were analyzed using a 2-way ANCOVA controlling for age and sex, while partial correlations assessed the association between the ALPS index and clinical variables. STUDY RESULTS People with schizophrenia showed a significantly reduced DTI-ALPS index across the whole brain and within both hemispheres (F = 9.001, P = .011; F = 10.024, P = .011; F = 5.927, P = .044; false discovery rate corrected), indicating potential glymphatic dysfunction in schizophrenia. The group by cognitive performance interaction effects on the ALPS index were not observed. Moreover, a lower ALPS index was associated with poorer cognitive performance on specific neuropsychological tests in people with schizophrenia. CONCLUSION Our study highlights a lower ALPS index in schizophrenia, correlated with more pronounced cognitive impairments. This suggests that glymphatic dysfunction may contribute to the pathophysiology of schizophrenia, offering new insights into its underlying mechanisms.
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Affiliation(s)
- Ye Tu
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Fang
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guohui Li
- Department of Anesthesiology and Sungical intensive CaneUnit, Xinhua Hospital A filiated to Shamghai jiaotong University school of Medicine, Shanghai, China
| | - Fei Xiong
- Department of Radiology. General Hospital of Central Theater Command, Wuhan, China
| | - Feng Gao
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Boiko DI, Chopra H, Bilal M, Kydon PV, Herasymenko LO, Rud VO, Bodnar LA, Vasylyeva GY, Isakov RI, Zhyvotovska LV, Mehta A, Skrypnikov AM. Schizophrenia and disruption of circadian rhythms: An overview of genetic, metabolic and clinical signs. Schizophr Res 2024; 264:58-70. [PMID: 38101179 DOI: 10.1016/j.schres.2023.12.002] [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: 12/21/2022] [Revised: 07/15/2023] [Accepted: 12/05/2023] [Indexed: 12/17/2023]
Abstract
A molecular clock in the suprachiasmatic nucleus of the anterior hypothalamus, which is entrained by the dark-light cycle and controls the sleep-wake cycle, regulates circadian rhythms. The risk of developing mental disorders, such as schizophrenia, has long been linked to sleep abnormalities. Additionally, a common aspect of mental disorders is sleep disturbance, which has a direct impact on the intensity of the symptoms and the quality of life of the patient. This relationship can be explained by gene alterations such as CLOCK in schizophrenia which are also important components of the physiological circadian rhythm. The function of dopamine and adenosine in circadian rhythm should also be noted, as these hypotheses are considered to be the most popular theories explaining schizophrenia pathogenesis. Therefore, determining the presence of a causal link between the two can be key to identifying new potential targets in schizophrenia therapy, which can open new avenues for clinical research as well as psychiatric care. We review circadian disruption in schizophrenia at the genetic, metabolic, and clinical levels. We summarize data about clock and clock-controlled genes' alterations, neurotransmitter systems' impairments, and association with chronotype in schizophrenia patients. Our findings demonstrate that in schizophrenia either homeostatic or circadian processes of sleep regulation are disturbed. Also, we found an insufficient number of studies aimed at studying the relationship between known biological phenomena of circadian disorders and clinical signs of schizophrenia.
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Affiliation(s)
- Dmytro I Boiko
- Department of Psychiatry, Narcology and Medical Psychology, Poltava State Medical University, Poltava, Ukraine.
| | - Hitesh Chopra
- Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, Tamil Nadu, India
| | - Muhammad Bilal
- College of Pharmacy, Liaquat University of Medical and Health Sciences, Jamshoro, Pakistan
| | - Pavlo V Kydon
- Department of Psychiatry, Narcology and Medical Psychology, Poltava State Medical University, Poltava, Ukraine
| | - Larysa O Herasymenko
- Department of Psychiatry, Narcology and Medical Psychology, Poltava State Medical University, Poltava, Ukraine
| | - Vadym O Rud
- Department of Psychiatry, Narcology and Medical Psychology, Poltava State Medical University, Poltava, Ukraine
| | - Lesia A Bodnar
- Department of Psychiatry, Narcology and Medical Psychology, Poltava State Medical University, Poltava, Ukraine
| | - Ganna Yu Vasylyeva
- Department of Psychiatry, Narcology and Medical Psychology, Poltava State Medical University, Poltava, Ukraine
| | - Rustam I Isakov
- Department of Psychiatry, Narcology and Medical Psychology, Poltava State Medical University, Poltava, Ukraine
| | - Liliia V Zhyvotovska
- Department of Psychiatry, Narcology and Medical Psychology, Poltava State Medical University, Poltava, Ukraine
| | - Aashna Mehta
- University of Debrecen, Faculty of Medicine, Debrecen, Hungary
| | - Andrii M Skrypnikov
- Department of Psychiatry, Narcology and Medical Psychology, Poltava State Medical University, Poltava, Ukraine
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Lehrer S, Rheinstein PH. Alignment of human aquaporin 4 and ß-amyloid proteins may indicate involvement of ß-amyloid in brain water homeostasis and prevention of brain edema. Chronic Dis Transl Med 2023; 9:177-181. [PMID: 37305107 PMCID: PMC10249176 DOI: 10.1002/cdt3.64] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 02/28/2023] [Accepted: 03/02/2023] [Indexed: 06/13/2023] Open
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Dande R, Sankararamakrishnan R. dbAQP-SNP: a database of missense single-nucleotide polymorphisms in human aquaporins. Database (Oxford) 2023; 2023:7076688. [PMID: 36913438 PMCID: PMC10010469 DOI: 10.1093/database/baad012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/08/2023] [Accepted: 03/06/2023] [Indexed: 03/14/2023]
Abstract
Aquaporins and aquaglyceroporins belong to the superfamily of major intrinsic proteins (MIPs), and they transport water and other neutral solutes such as glycerol. These channel proteins are involved in vital physiological processes and are implicated in several human diseases. Experimentally determined structures of MIPs from diverse organisms reveal a unique hour-glass fold with six transmembrane helices and two half-helices. MIP channels have two constrictions formed by Asn-Pro-Ala (NPA) motifs and aromatic/arginine selectivity filters (Ar/R SFs). Several reports have found associations among single-nucleotide polymorphisms (SNPs) in human aquaporins (AQPs) with diseases in specific populations. In this study, we have compiled 2798 SNPs that give rise to missense mutations in 13 human AQPs. To understand the nature of missense substitutions, we have systematically analyzed the pattern of substitutions. We found several examples in which substitutions could be considered as non-conservative that include small to big or hydrophobic to charged residues. We also analyzed these substitutions in the context of structure. We have identified SNPs that occur in NPA motifs or Ar/R SFs, and they will most certainly disrupt the structure and/or transport properties of human AQPs. We found 22 examples in which missense SNP substitutions that are mostly non-conservative in nature have given rise to pathogenic conditions as found in the Online Mendelian Inheritance in Man database. It is most likely that not all missense SNPs in human AQPs will result in diseases. However, understanding the effect of missense SNPs on the structure and function of human AQPs is important. In this direction, we have developed a database dbAQP-SNP that contains information about all 2798 SNPs. This database has several features and search options that can help the user to find SNPs in specific positions of human AQPs including the functionally and/or structurally important regions. dbAQP-SNP (http://bioinfo.iitk.ac.in/dbAQP-SNP) is freely available to the academic community. Database URL http://bioinfo.iitk.ac.in/dbAQP-SNP.
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Affiliation(s)
- Rachana Dande
- Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh 208016, India
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Li Z, Li X, Jin M, Liu Y, He Y, Jia N, Cui X, Liu Y, Hu G, Yu Q. Identification of potential biomarkers and their correlation with immune infiltration cells in schizophrenia using combinative bioinformatics strategy. Psychiatry Res 2022; 314:114658. [PMID: 35660966 DOI: 10.1016/j.psychres.2022.114658] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 05/17/2022] [Accepted: 05/29/2022] [Indexed: 10/18/2022]
Abstract
Many studies have identified changes in gene expression in brains of schizophrenia patients and their altered molecular processes, but the findings in different datasets were inconsistent and diverse. Here we performed the most comprehensive analysis of gene expression patterns to explore the underlying mechanisms and the potential biomarkers for early diagnosis in schizophrenia. We focused on 10 gene expression datasets in post-mortem human brain samples of schizophrenia downloaded from gene expression omnibus (GEO) database using the integrated bioinformatics analyses including robust rank aggregation (RRA) algorithm, Weighted gene co-expression network analysis (WGCNA) and CIBERSORT. Machine learning algorithm was used to construct the risk prediction model for early diagnosis of schizophrenia. We identified 15 key genes (SLC1A3, AQP4, GJA1, ALDH1L1, SOX9, SLC4A4, EGR1, NOTCH2, PVALB, ID4, ABCG2, METTL7A, ARC, F3 and EMX2) in schizophrenia by performing multiple bioinformatics analysis algorithms. Moreover, the interesting part of the study is that there is a correlation between the expression of hub genes and the immune infiltrating cells estimated by CIBERSORT. Besides, the risk prediction model was constructed by using both these genes and the immune cells with a high accuracy of 0.83 in the training set, and achieved a high AUC of 0.77 for the test set. Our study identified several potential biomarkers for diagnosis of SCZ based on multiple bioinformatics algorithms, and the constructed risk prediction model using these biomarkers achieved high accuracy. The results provide evidence for an improved understanding of the molecular mechanism of schizophrenia.
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Affiliation(s)
- Zhijun Li
- Department of Epidemiology and Biostatistics, School of public health, Jilin University, Changchun, 130021, China
| | - Xinwei Li
- Department of Epidemiology and Biostatistics, School of public health, Jilin University, Changchun, 130021, China
| | - Mengdi Jin
- Department of Epidemiology and Biostatistics, School of public health, Jilin University, Changchun, 130021, China
| | - Yang Liu
- Department of Epidemiology and Biostatistics, School of public health, Jilin University, Changchun, 130021, China
| | - Yang He
- Department of Epidemiology and Biostatistics, School of public health, Jilin University, Changchun, 130021, China
| | - Ningning Jia
- Department of Epidemiology and Biostatistics, School of public health, Jilin University, Changchun, 130021, China
| | - Xingyao Cui
- Department of Epidemiology and Biostatistics, School of public health, Jilin University, Changchun, 130021, China
| | - Yane Liu
- Department of Epidemiology and Biostatistics, School of public health, Jilin University, Changchun, 130021, China
| | - Guoyan Hu
- Department of Epidemiology and Biostatistics, School of public health, Jilin University, Changchun, 130021, China
| | - Qiong Yu
- Department of Epidemiology and Biostatistics, School of public health, Jilin University, Changchun, 130021, China.
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Abstract
PURPOSE OF REVIEW The vascular hypothesis of schizophrenia (SZ) postulates that brain endothelial dysfunction contributes to brain pathophysiology. This review discusses recent evidence for and against this hypothesis, including data related to blood-brain barrier (BBB), brain endothelium, and brain blood supply, to provide a critical weighed update. RECENT FINDINGS Different studies report a consistent proportion of SZ patients showing increased BBB permeability, reflected by higher levels of albumin in the cerebral spinal fluid. Of note, this was not a result of antipsychotic medication. The high inflammatory profile observed in some SZ patients is strongly associated with increased BBB permeability to circulating immune cells, and with more severe cognitive deficiencies. Also, sex was found to interact with BBB integrity and permeability in SZ. The strongest independent genetic association with SZ has been identified in FZD1, a hypoxia-response gene that is 600-fold higher expressed in early development endothelium as compared to adult brain endothelium. Regarding brain blood supply, there is evidence to suggest alterations in proper brain perfusion in SZ. Nonetheless, ex-vivo experiments suggested that widely used antipsychotics favor vasoconstriction; thus, alterations in cerebral perfusion might be related to the patients' medication. SUMMARY In some patients with SZ, a vulnerable brain endothelium may be interacting with environmental stressors, such as inflammation or hypoxia, converging into a more severe SZ symptomatology. Gene expression and performance of human brain endothelium could vary along with development and the establishment of the BBB; therefore, we encourage to investigate its possible contribution to SZ considering this dynamic context.
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Fang Y, Dai S, Jin C, Si X, Gu L, Song Z, Gao T, Chen Y, Yan Y, Yin X, Pu J, Zhang B. Aquaporin-4 Polymorphisms Are Associated With Cognitive Performance in Parkinson’s Disease. Front Aging Neurosci 2022; 13:740491. [PMID: 35356146 PMCID: PMC8959914 DOI: 10.3389/fnagi.2021.740491] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 10/04/2021] [Indexed: 12/29/2022] Open
Abstract
ObjectiveAquaporin-4 (AQP4) facilitates a sleep-enhanced interstitial brain waste clearance system. This study was conducted to determine the clinical implication of AQP4 polymorphisms in Parkinson’s disease (PD).MethodsThree-hundred and eighty-two patients with PD and 180 healthy controls with a mean follow-up time of 66.1 months from the Parkinson’s Progression Marker Initiative study were analyzed. We examined whether AQP4 SNPs were associated with an altered rate of motor or cognitive decline using linear mixed model and Cox regression. We then investigated whether AQP4 SNPs were associated with Aβ burden as measured by 18F Florbetapir standard uptake values. Furthermore, we examined if AQP4 SNPs moderated the association between REM sleep behavior disorder (RBD) and CSF biomarkers.ResultsIn patients with PD, AQP4 rs162009 (AA/AG vs. GG) was associated with slower dementia conversion, better performance in letter-number sequencing and symbol digit modalities, lower Aβ deposition in the putamen, anterior cingulum, and frontotemporal areas. In the subgroup of high RBD screening questionnaire score, rs162009 AA/AG had a higher CSF Aβ42 level. rs162009 AA/AG also had better performance in semantic fluency in healthy controls. Besides, rs68006382 (GG/GA vs. AA) was associated with faster progression to mild cognitive impairment, worse performance in letter-number sequencing, semantic fluency, and symbol digit modalities in patients with PD.InterpretationGenetic variations of AQP4 and subsequent alterations of glymphatic efficacy might contribute to an altered rate of cognitive decline in PD. AQP4 rs162009 is likely a novel genetic prognostic marker of glymphatic function and cognitive decline in PD.
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Affiliation(s)
- Yi Fang
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shaobing Dai
- Department of Anesthesiology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Chongyao Jin
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaoli Si
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Luyan Gu
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Zhe Song
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Ting Gao
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Ying Chen
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yaping Yan
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xinzhen Yin
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jiali Pu
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- *Correspondence: Baorong Zhang Jiali Pu
| | - Baorong Zhang
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- *Correspondence: Baorong Zhang Jiali Pu
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Wang T, Chen Y, Zou Y, Pang Y, He X, Chen Y, Liu Y, Feng W, Zhang Y, Li Q, Shi J, Ding F, Marshall C, Gao J, Xiao M. Locomotor Hyperactivity in the Early-Stage Alzheimer’s Disease-like Pathology of APP/PS1 Mice: Associated with Impaired Polarization of Astrocyte Aquaporin 4. Aging Dis 2022; 13:1504-1522. [PMID: 36186142 PMCID: PMC9466968 DOI: 10.14336/ad.2022.0219] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 02/19/2022] [Indexed: 12/21/2022] Open
Abstract
Non-cognitive behavioral and psychological symptoms often occur in Alzheimer's disease (AD) patients and mouse models, although the exact neuropathological mechanism remains elusive. Here, we report hyperactivity with significant inter-individual variability in 4-month-old APP/PS1 mice. Pathological analysis revealed that intraneuronal accumulation of amyloid-β (Aβ), c-Fos expression in glutamatergic neurons and activation of astrocytes were more evident in the frontal motor cortex of hyperactive APP/PS1 mice, compared to those with normal activity. Moreover, the hyperactive phenotype was associated with mislocalization of perivascular aquaporin 4 (AQP4) and glymphatic transport impairment. Deletion of the AQP4 gene increased hyperactivity, intraneuronal Aβ load and glutamatergic neuron activation, but did not influence working memory or anxiety-like behaviors of 4-month-old APP/PS1 mice. Together, these results demonstrate that AQP4 mislocalization or deficiency leads to increased intraneuronal Aβ load and neuronal hyperactivity in the motor cortex, which in turn causes locomotor over-activity during the early pathophysiology of APP/PS1 mice. Therefore, improving AQP4 mediated glymphatic clearance may offer a new strategy for early intervention of hyperactivity in the prodromal phase of AD.
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Affiliation(s)
- Tianqi Wang
- Jiangsu Province Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
- Brain Institute, the Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Yan Chen
- Jiangsu Province Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
- Brain Institute, the Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Ying Zou
- Jiangsu Province Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Yingting Pang
- Jiangsu Province Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Xiaoxin He
- Jiangsu Province Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
- Brain Institute, the Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Yali Chen
- Jiangsu Province Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
- Department of Human Anatomy and Histoembryology, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
| | - Yun Liu
- Jiangsu Province Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Weixi Feng
- Jiangsu Province Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
- Brain Institute, the Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Yanli Zhang
- Jiangsu Province Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Qian Li
- Jiangsu Province Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
- Brain Institute, the Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Jingping Shi
- Department of Neurology, the Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Fengfei Ding
- Department of Pharmacology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Charles Marshall
- College of Health Sciences, University of Kentucky Center of Excellence in Rural Health, Hazard, KY 41701, USA
| | - Junying Gao
- Jiangsu Province Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
- Correspondence should be addressed to: Dr. Ming Xiao (E-mail: ) or Dr. Junying Gao (), Jiangsu Province Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
| | - Ming Xiao
- Jiangsu Province Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
- Brain Institute, the Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
- Correspondence should be addressed to: Dr. Ming Xiao (E-mail: ) or Dr. Junying Gao (), Jiangsu Province Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
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