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You J, Wang L, Wang Y, Kang J, Yu J, Cheng W, Feng J. Prediction of Future Parkinson Disease Using Plasma Proteins Combined With Clinical-Demographic Measures. Neurology 2024; 103:e209531. [PMID: 38976826 DOI: 10.1212/wnl.0000000000209531] [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] [Indexed: 07/10/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Identification of individuals at high risk of developing Parkinson disease (PD) several years before diagnosis is crucial for developing treatments to prevent or delay neurodegeneration. This study aimed to develop predictive models for PD risk that combine plasma proteins and easily accessible clinical-demographic variables. METHODS Using data from the UK Biobank (UKB), which recruited participants across the United Kingdom, we conducted a longitudinal study to identify predictors for incident PD. Participants with baseline plasma proteins and no PD were included. Through machine learning, we narrowed down predictors from a pool of 1,463 plasma proteins and 93 clinical-demographic. These predictors were then externally validated using the Parkinson's Progression Marker Initiative (PPMI) cohort. To further investigate the temporal trends of predictors, a nested case-control study was conducted within the UKB. RESULTS A total of 52,503 participants without PD (median age 58, 54% female) were included. Over a median follow-up duration of 14.0 years, 751 individuals were diagnosed with PD (median age 65, 37% female). Using a forward selection approach, we selected a panel of 22 plasma proteins for optimal prediction. Using an ensemble tree-based Light Gradient Boosting Machine (LightGBM) algorithm, the model achieved an area under the receiver operating characteristic curve (AUC) of 0.800 (95% CI 0.785-0.815). The LightGBM prediction model integrating both plasma proteins and clinical-demographic variables demonstrated enhanced predictive accuracy, with an AUC of 0.832 (95% CI 0.815-0.849). Key predictors identified included age, years of education, history of traumatic brain injury, and serum creatinine. The incorporation of 11 plasma proteins (neurofilament light, integrin subunit alpha V, hematopoietic PGD synthase, histamine N-methyltransferase, tubulin polymerization promoting protein family member 3, ectodysplasin A2 receptor, Latexin, interleukin-13 receptor subunit alpha-1, BAG family molecular chaperone regulator 3, tryptophanyl-TRNA synthetase, and secretogranin-2) augmented the model's predictive accuracy. External validation in the PPMI cohort confirmed the model's reliability, producing an AUC of 0.810 (95% CI 0.740-0.873). Notably, alterations in these predictors were detectable several years before the diagnosis of PD. DISCUSSION Our findings support the potential utility of a machine learning-based model integrating clinical-demographic variables with plasma proteins to identify individuals at high risk for PD within the general population. Although these predictors have been validated by PPMI, additional validation in a more diverse population reflective of the general community is essential.
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Affiliation(s)
- Jia You
- From the Institute of Science and Technology for Brain-Inspired Intelligence (J. You, L.W., Y.W., J.K., W.C., J.F.), and Department of Neurology (J. Yu), Huashan Hospital, Fudan University; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University) (W.C., J.F.), Ministry of Education, Shanghai; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence (W.C., J.F.), Zhejiang Normal University; Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center (W.C.); Zhangjiang Fudan International Innovation Center (J.F.); and School of Data Science (J.F.), Fudan University, Shanghai, China
| | - Linbo Wang
- From the Institute of Science and Technology for Brain-Inspired Intelligence (J. You, L.W., Y.W., J.K., W.C., J.F.), and Department of Neurology (J. Yu), Huashan Hospital, Fudan University; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University) (W.C., J.F.), Ministry of Education, Shanghai; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence (W.C., J.F.), Zhejiang Normal University; Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center (W.C.); Zhangjiang Fudan International Innovation Center (J.F.); and School of Data Science (J.F.), Fudan University, Shanghai, China
| | - Yujia Wang
- From the Institute of Science and Technology for Brain-Inspired Intelligence (J. You, L.W., Y.W., J.K., W.C., J.F.), and Department of Neurology (J. Yu), Huashan Hospital, Fudan University; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University) (W.C., J.F.), Ministry of Education, Shanghai; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence (W.C., J.F.), Zhejiang Normal University; Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center (W.C.); Zhangjiang Fudan International Innovation Center (J.F.); and School of Data Science (J.F.), Fudan University, Shanghai, China
| | - Jujiao Kang
- From the Institute of Science and Technology for Brain-Inspired Intelligence (J. You, L.W., Y.W., J.K., W.C., J.F.), and Department of Neurology (J. Yu), Huashan Hospital, Fudan University; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University) (W.C., J.F.), Ministry of Education, Shanghai; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence (W.C., J.F.), Zhejiang Normal University; Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center (W.C.); Zhangjiang Fudan International Innovation Center (J.F.); and School of Data Science (J.F.), Fudan University, Shanghai, China
| | - Jintai Yu
- From the Institute of Science and Technology for Brain-Inspired Intelligence (J. You, L.W., Y.W., J.K., W.C., J.F.), and Department of Neurology (J. Yu), Huashan Hospital, Fudan University; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University) (W.C., J.F.), Ministry of Education, Shanghai; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence (W.C., J.F.), Zhejiang Normal University; Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center (W.C.); Zhangjiang Fudan International Innovation Center (J.F.); and School of Data Science (J.F.), Fudan University, Shanghai, China
| | - Wei Cheng
- From the Institute of Science and Technology for Brain-Inspired Intelligence (J. You, L.W., Y.W., J.K., W.C., J.F.), and Department of Neurology (J. Yu), Huashan Hospital, Fudan University; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University) (W.C., J.F.), Ministry of Education, Shanghai; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence (W.C., J.F.), Zhejiang Normal University; Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center (W.C.); Zhangjiang Fudan International Innovation Center (J.F.); and School of Data Science (J.F.), Fudan University, Shanghai, China
| | - Jianfeng Feng
- From the Institute of Science and Technology for Brain-Inspired Intelligence (J. You, L.W., Y.W., J.K., W.C., J.F.), and Department of Neurology (J. Yu), Huashan Hospital, Fudan University; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University) (W.C., J.F.), Ministry of Education, Shanghai; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence (W.C., J.F.), Zhejiang Normal University; Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center (W.C.); Zhangjiang Fudan International Innovation Center (J.F.); and School of Data Science (J.F.), Fudan University, Shanghai, China
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Tang X, Zhan Y, Yang B, Du B, Huang J. Exploring the mechanism of Semen Strychni in treating amyotrophic lateral sclerosis based on network pharmacology. Medicine (Baltimore) 2023; 102:e35101. [PMID: 37682161 PMCID: PMC10489316 DOI: 10.1097/md.0000000000035101] [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: 02/02/2023] [Accepted: 08/16/2023] [Indexed: 09/09/2023] Open
Abstract
Semen Strychni (SS), known as an agonist of central nervous system, is a traditional herb widely used in treating amyotrophic lateral sclerosis (ALS) in small doses to relieve muscle weakness and improve muscle strength. However, the potential mechanisms and the main components of SS in treating ALS remain unclear. To explore the underlying mechanism of SS in treating ALS based on network pharmacology and molecular docking. The active components of SS were obtained using TCMSP, Herb, ETCM, and BATMAN-TCM. The targets of SS were gained from PharmMapper. The targets of ALS were searched on Genecards, Drugbank, DisGeNET, OMIM, TTD and GEO database. After obtaining the coincidence targets, we submitted them to the STRING database to build a protein-protein interaction network. Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were performed subsequently. The active components and targets were further investigated using molecular docking technology. 395 targets of SS and 1925 targets of ALS were obtained with 125 common targets. The protein-protein interaction analysis indicated that SRC, AKT1, MAPK1, EGFR, and HSP90AA1 received the higher degree value and were considered the central genes. The Ras, PI3K-Akt, and MAPK signaling pathway could be involved in the treatment of ALS. Brucine-N-oxide obtained the lowest binding energy in molecular docking. This study explored the mechanism of SS in the treatment of ALS and provides a new perspective for future study. However, further experimental studies are needed to validate the therapeutic effect.
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Affiliation(s)
- Xiaohui Tang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yingshi Zhan
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Biying Yang
- Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Baoxin Du
- Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Jingyan Huang
- Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
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3
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Lu Y, Dong CZ, Bao D, Zhong C, Liu K, Chen L, Wang W, Yang B. The Thr105Ile Variant (rs11558538) in the Histamine N-Methyltransferase Gene May Be Associated with Reduced Risk of Parkinson's Disease: A Meta-analysis. Genet Test Mol Biomarkers 2022; 26:543-549. [DOI: 10.1089/gtmb.2021.0299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Yongxia Lu
- Department of Endocrinology, Metabolism and Gerontology, Seventh People's Hospital of Chengdu, Chengdu, Sichuan Province, P.R. China
| | - Cheng Zhen Dong
- Department of Endocrinology, Metabolism and Gerontology, Seventh People's Hospital of Chengdu, Chengdu, Sichuan Province, P.R. China
| | - Dongmei Bao
- Department of Neurology, Hanyuan People's Hospital, Yaan, Sichuan Province, P.R. China
| | - Chengqing Zhong
- Department of Neurology, Seventh People's Hospital of Chengdu, Chengdu, Sichuan Province, P.R. China
| | - Keting Liu
- Department of Neurology, Seventh People's Hospital of Chengdu, Chengdu, Sichuan Province, P.R. China
| | - Lifan Chen
- Department of Endocrinology, Metabolism and Gerontology, Seventh People's Hospital of Chengdu, Chengdu, Sichuan Province, P.R. China
| | - Wei Wang
- Department of Endocrinology, Metabolism and Gerontology, Seventh People's Hospital of Chengdu, Chengdu, Sichuan Province, P.R. China
| | - Baiyuan Yang
- Department of Neurology, Seventh People's Hospital of Chengdu, Chengdu, Sichuan Province, P.R. China
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Alhusaini M, Eissa N, Saad AK, Beiram R, Sadek B. Revisiting Preclinical Observations of Several Histamine H3 Receptor Antagonists/Inverse Agonists in Cognitive Impairment, Anxiety, Depression, and Sleep-Wake Cycle Disorder. Front Pharmacol 2022; 13:861094. [PMID: 35721194 PMCID: PMC9198498 DOI: 10.3389/fphar.2022.861094] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 04/22/2022] [Indexed: 12/25/2022] Open
Abstract
A relationship appears to exist between dysfunction of brain histamine (HA) and various neuropsychiatric brain disorders. The possible involvement of brain HA in neuropathology has gained attention recently, and its role in many (patho)physiological brain functions including memory, cognition, and sleep-wake cycle paved the way for further research on the etiology of several brain disorders. Histamine H3 receptor (H3R) evidenced in the brains of rodents and humans remains of special interest, given its unique position as a pre- and postsynaptic receptor, controlling the synthesis and release of HA as well as different other neurotransmitters in different brain regions, respectively. Despite several disappointing outcomes for several H3R antagonists/inverse agonists in clinical studies addressing their effectiveness in Alzheimer's disease (AD), Parkinson's disease (PD), and schizophrenia (SCH), numerous H3R antagonists/inverse agonists showed great potentials in modulating memory and cognition, mood, and sleep-wake cycle, thus suggesting its potential role in neurocognitive and neurodegenerative diseases such as AD, PD, SCH, narcolepsy, and major depression in preclinical rodent models. In this review, we present preclinical applications of selected H3R antagonists/inverse agonists and their pharmacological effects on cognitive impairment, anxiety, depression, and sleep-wake cycle disorders. Collectively, the current review highlights the behavioral impact of developments of H3R antagonists/inverse agonists, aiming to further encourage researchers in the preclinical drug development field to profile the potential therapeutic role of novel antagonists/inverse agonists targeting histamine H3Rs.
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Affiliation(s)
- Mera Alhusaini
- Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.,Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Nermin Eissa
- Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.,Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.,Department of Biomedical Sciences, College of Health Sciences, Abu Dhabi University, Abu Dhabi, United Arab Emirates
| | - Ali K Saad
- Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.,Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Rami Beiram
- Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.,Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Bassem Sadek
- Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.,Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
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Repurposing Histaminergic Drugs in Multiple Sclerosis. Int J Mol Sci 2022; 23:ijms23116347. [PMID: 35683024 PMCID: PMC9181091 DOI: 10.3390/ijms23116347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 05/31/2022] [Accepted: 06/03/2022] [Indexed: 11/16/2022] Open
Abstract
Multiple sclerosis is an autoimmune disease with a strong neuroinflammatory component that contributes to severe demyelination, neurodegeneration and lesions formation in white and grey matter of the spinal cord and brain. Increasing attention is being paid to the signaling of the biogenic amine histamine in the context of several pathological conditions. In multiple sclerosis, histamine regulates the differentiation of oligodendrocyte precursors, reduces demyelination, and improves the remyelination process. However, the concomitant activation of histamine H1–H4 receptors can sustain either damaging or favorable effects, depending on the specifically activated receptor subtype/s, the timing of receptor engagement, and the central versus peripheral target district. Conventional drug development has failed so far to identify curative drugs for multiple sclerosis, thus causing a severe delay in therapeutic options available to patients. In this perspective, drug repurposing offers an exciting and complementary alternative for rapidly approving some medicines already approved for other indications. In the present work, we have adopted a new network-medicine-based algorithm for drug repurposing called SAveRUNNER, for quantifying the interplay between multiple sclerosis-associated genes and drug targets in the human interactome. We have identified new histamine drug-disease associations and predicted off-label novel use of the histaminergic drugs amodiaquine, rupatadine, and diphenhydramine among others, for multiple sclerosis. Our work suggests that selected histamine-related molecules might get to the root causes of multiple sclerosis and emerge as new potential therapeutic strategies for the disease.
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6
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Sharafeldin N, Zhang J, Singh P, Bosworth A, Chen Y, Patel SK, Wang X, Francisco L, Forman SJ, Wong FL, Ojesina AI, Bhatia S. Genome-wide variants and polygenic risk scores for cognitive impairment following blood or marrow transplantation. Bone Marrow Transplant 2022; 57:925-933. [PMID: 35379913 DOI: 10.1038/s41409-022-01642-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 03/09/2022] [Accepted: 03/11/2022] [Indexed: 11/10/2022]
Abstract
Cognitive impairment is prevalent in blood or marrow transplantation (BMT) recipients, albeit with inter-individual variability. We conducted a genome-wide association study of objective cognitive function assessed longitudinally in 239 adult BMT recipients for discovery and replicated in an independent cohort of 540 BMT survivors. Weighted genome-wide polygenic risk scores (PRS) were constructed using linkage disequilibrium pruned significant SNPs. Forty-four genome-wide significant SNPs were identified using additive (n = 3); codominant (n = 20) and genotype models (n = 21). Each additional copy of a risk allele was associated with a 0.28-point (p = 1.07 × 10-8) to a 1.82-point (p = 6.7 × 10-12) increase in a global deficit score. We replicated two SNPs (rs11634183 and rs12486041) with links to neural integrity. Patients in the top PRS quintile were at increased risk of cognitive impairment in discovery (RR = 1.95, 95%CI: 1.28-2.96, p = 0.002) and replication cohorts (OR = 1.84, 95%CI, 1.02-3.32, p = 0.043). Associations were stronger among individuals with lowest clinical risk for cognitive impairment. These findings support potential utility of PRS-based risk classification in the development of targeted interventions aimed at improving cognitive outcomes in BMT survivors.
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Affiliation(s)
- Noha Sharafeldin
- Institute for Cancer Outcomes and Survivorship, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - Jianqing Zhang
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Purnima Singh
- Institute for Cancer Outcomes and Survivorship, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Yanjun Chen
- Institute for Cancer Outcomes and Survivorship, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Xuexia Wang
- Department of Mathematics, University of North Texas, Denton, TX, USA
| | - Liton Francisco
- Institute for Cancer Outcomes and Survivorship, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Stephen J Forman
- Hematology and Hematopoietic Cell Transplantation, City of Hope, Duarte, CA, USA
| | | | - Akinyemi I Ojesina
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
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Lu Y, Chen W, Wei C, Zhu Y, Xu R. Potential Common Genetic Risks of Sporadic Parkinson's Disease and Amyotrophic Lateral Sclerosis in the Han Population of Mainland China. Front Neurosci 2021; 15:753870. [PMID: 34707478 PMCID: PMC8542930 DOI: 10.3389/fnins.2021.753870] [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: 08/09/2021] [Accepted: 09/13/2021] [Indexed: 11/16/2022] Open
Abstract
Sporadic Parkinson’s disease (sPD) and sporadic amyotrophic lateral sclerosis (sALS) are neurodegenerative diseases characterized by progressive and selective neuron death, with some genetic similarities. In order to investigate the genetic risk factors common to both sPD and sALS, we carried out a screen of risk alleles for sALS and related loci in 530 sPD patients and 530 controls from the Han population of Mainland China (HPMC). We selected 27 single-nucleotide polymorphisms in 10 candidate genes associated with sALS, and we performed allelotyping and genotyping to determine their frequencies in the study population as well as bioinformatics analysis to assess their functional significance in these diseases. The minor alleles of rs17115303 in DAB adaptor protein 1 (DAB1) gene and rs6030462 in protein tyrosine phosphatase receptor type T (PTPRT) gene were correlated with increased risk of both sPD and sALS. Polymorphisms of rs17115303 and rs6030462 were associated with alterations in transcription factor binding sites, secondary structures, long non-coding RNA interactions, and nervous system regulatory networks; these changes involved biological processes associated with neural cell development, differentiation, neurogenesis, migration, axonogenesis, cell adhesion, and metabolism of phosphate-containing compounds. Thus, variants of DAB1 gene (rs17115303) and PTPRT gene (rs6030462) are risk factors common to sPD and sALS in the HPMC. These findings provide insight into the molecular pathogenesis of both diseases and can serve as a basis for the development of targeted therapies.
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Affiliation(s)
- Yi Lu
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wenzhi Chen
- Department of Neurology, Jiangxi Provincial People's Hospital, Affiliated People's Hospital of Nanchang University, Nanchang, China
| | - Caihui Wei
- Department of Neurology, Jiangxi Provincial People's Hospital, Affiliated People's Hospital of Nanchang University, Nanchang, China
| | - Yu Zhu
- Department of Neurology, Jiangxi Provincial People's Hospital, Affiliated People's Hospital of Nanchang University, Nanchang, China
| | - Renshi Xu
- Department of Neurology, Jiangxi Provincial People's Hospital, Affiliated People's Hospital of Nanchang University, Nanchang, China
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Wu H, Li H, Shi Z, Tang J, Mei S, Ai T, He Z. Association between NMD3 and symptoms of Parkinson's disease in Chinese patients. BMC Neurol 2020; 20:19. [PMID: 31937261 PMCID: PMC6961280 DOI: 10.1186/s12883-019-1574-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 12/15/2019] [Indexed: 02/07/2023] Open
Abstract
Background Parkinson’s disease (PD) is a progressive neurodegenerative movement disorder that is characterized by motor symptoms such as tremor, rigidity, slowness of movement and problems with gait. Large-scale meta-analyses of genome-wide association studies (GWAS) have identified few susceptibility loci in patients with sporadic PD. The aim of this study was to investigate the association between NMD3 single nucleotide polymorphism (SNP) and symptoms in PD patients in South China. Methods A total of 217 PD patients were recruited in this study and genotyped by using the SNaPshot technique and the polymerase chain reaction. All subjects were evaluated by the Mini-Mental State Examination (MMSE), Beijing version Montreal Cognitive Assessment (MoCA), Sniffin’ Sticks 16 (SS-16), Hamilton Anxiety Rating Scale, Hamilton Depression Rating Scale, 39-item Parkinson’s Disease Questionnaire (PDQ-39) and MDS Unified PD Rating Scale (MDS-UPDRS). Results NMD3 rs34016896 (C > T) carriers have worse cognitive function than wild types (MMSE: p = 0.042, NMD3 wild type: 27.44 ± 2.89, NMD3 carriers: 26.31 ± 3.79; MoCA: p = 0.005, NMD3 wild type: 23.15 ± 4.20, NMD3 carriers: 20.75 ± 6.68). Conclusions The recessive and overdominant model of NMD3 rs34016896 was associated with cognitive impairment in PD patients.
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Affiliation(s)
- Hui Wu
- Department of Anesthesiology, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, 2000 Jiangyue Road, Shanghai, 201112, China
| | - Hui Li
- Department of Anesthesiology, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, 2000 Jiangyue Road, Shanghai, 201112, China
| | - Zhiqiang Shi
- Department of Anesthesiology, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, 2000 Jiangyue Road, Shanghai, 201112, China
| | - Jiajia Tang
- Department of Anesthesiology, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, 2000 Jiangyue Road, Shanghai, 201112, China
| | - Shuya Mei
- Department of Anesthesiology, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, 2000 Jiangyue Road, Shanghai, 201112, China
| | - Tianyi Ai
- Department of Anesthesiology, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, 2000 Jiangyue Road, Shanghai, 201112, China
| | - Zhenzhou He
- Department of Anesthesiology, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, 2000 Jiangyue Road, Shanghai, 201112, China.
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Xiang C, Han S, Nao J, Cong S. MicroRNAs Dysregulation and Metabolism in Multiple System Atrophy. Front Neurosci 2019; 13:1103. [PMID: 31680837 PMCID: PMC6811505 DOI: 10.3389/fnins.2019.01103] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Accepted: 09/30/2019] [Indexed: 12/13/2022] Open
Abstract
Multiple system atrophy (MSA) is an adult onset, fatal disease, characterized by an accumulation of alpha-synuclein (α-syn) in oligodendroglial cells. MicroRNAs (miRNAs) are small non-coding RNAs involved in post-translational regulation and several biological processes. Disruption of miRNA-related pathways in the central nervous system (CNS) plays an important role in the pathogenesis of neurodegenerative diseases, including MSA. While the exact mechanisms underlying miRNAs in the pathogenesis of MSA remain unclear, it is known that miRNAs can repress the translation of messenger RNAs (mRNAs) that regulate the following pathogenesis associated with MSA: autophagy, neuroinflammation, α-syn accumulation, synaptic transmission, oxidative stress, and apoptosis. In this review, the metabolism of miRNAs and their functional roles in the pathogenesis of MSA are discussed, thereby highlighting miRNAs as potential new biomarkers for the diagnosis of MSA and in increasing our understanding of the disease process.
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Affiliation(s)
- Chunchen Xiang
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shunchang Han
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jianfei Nao
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shuyan Cong
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, China
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Volonté C, Apolloni S, Sabatelli M. Histamine beyond its effects on allergy: Potential therapeutic benefits for the treatment of Amyotrophic Lateral Sclerosis (ALS). Pharmacol Ther 2019; 202:120-131. [PMID: 31233766 DOI: 10.1016/j.pharmthera.2019.06.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 06/03/2019] [Indexed: 02/06/2023]
Abstract
ALS currently remains a challenge despite many efforts in performing successful clinical trials and formulating therapeutic solutions. By learning from current failures and striving for success, scientists and clinicians are checking every possibility to search for missing hints and efficacious treatments. Because the disease is very complex and heterogeneous and, moreover, targeting not only motor neurons but also several different cell types including muscle, glial, and immune cells, the right answer to ALS is conceivably a multidrug strategy or the use of broad-spectrum molecules. The aim of the present work is to gather evidence about novel perspectives on ALS pathogenesis and to present recent and innovative paradigms for therapy. In particular, we describe how an old molecule possessing immunomodulatory and neuroprotective functions beyond its recognized effects on allergy, histamine, might have a renewed and far-reaching momentum in ALS.
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Affiliation(s)
- Cinzia Volonté
- CNR-Institute of Cell Biology and Neurobiology/UCSC, Largo Francesco Vito 1, 00168 Rome, Italy; Fondazione Santa Lucia IRCCS, Preclinical Neuroscience, Via Del Fosso di Fiorano 65, 00143 Rome, Italy.
| | - Savina Apolloni
- Fondazione Santa Lucia IRCCS, Preclinical Neuroscience, Via Del Fosso di Fiorano 65, 00143 Rome, Italy
| | - Mario Sabatelli
- Institute of Neurology-Catholic University of Sacro Cuore, Clinic Center NEMO- Fondazione Pol. A. Gemelli IRCCS, Largo Agostino Gemelli, 8, 00168 Rome, Italy
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Histamine N-Methyltransferase in the Brain. Int J Mol Sci 2019; 20:ijms20030737. [PMID: 30744146 PMCID: PMC6386932 DOI: 10.3390/ijms20030737] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 02/08/2019] [Accepted: 02/08/2019] [Indexed: 12/13/2022] Open
Abstract
Brain histamine is a neurotransmitter and regulates diverse physiological functions. Previous studies have shown the involvement of histamine depletion in several neurological disorders, indicating the importance of drug development targeting the brain histamine system. Histamine N-methyltransferase (HNMT) is a histamine-metabolising enzyme expressed in the brain. Although pharmacological studies using HNMT inhibitors have been conducted to reveal the direct involvement of HNMT in brain functions, HNMT inhibitors with high specificity and sufficient blood–brain barrier permeability have not been available until now. Recently, we have phenotyped Hnmt-deficient mice to elucidate the importance of HNMT in the central nervous system. Hnmt disruption resulted in a robust increase in brain histamine concentration, demonstrating the essential role of HNMT in the brain histamine system. Clinical studies have suggested that single nucleotide polymorphisms of the human HNMT gene are associated with several brain disorders such as Parkinson’s disease and attention deficit hyperactivity disorder. Postmortem studies also have indicated that HNMT expression is altered in human brain diseases. These findings emphasise that an increase in brain histamine levels by novel HNMT inhibitors could contribute to the improvement of brain disorders.
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