Multi-chip Meta-analysis of Parkinson's Disease for Clinical Validation of Small Samples of Key Genes in Disease
Multi-chip Meta-analysis of Parkinson's Disease for Clinical Validation of Small Samples of Key Genes in Disease
The research team used meta-analytical statistical methods to integrate the results of
 different research groups on Parkinson's disease, using meta-analysis to find key genes
 related to the pathogenesis and development of Parkinson's disease, and to make small
 clinical results. The verification of the sample, the internal mechanism of the pathogenesis
 of Parkinson's disease and provide guidance and reference for subsequent experimental
 research.
Parkinson's disease (PD) is a relatively common degenerative disease of the central nervous
 system. As society gradually becomes aging, the number of PD patients is increasing, but its
 exact pathogenesis is still not fully understood. May be related to genetic factors,
 environmental factors, immunological abnormalities, mitochondrial dysfunction and oxidative
 stress, ageing, apoptosis and other factors; the current genetic diagnosis is in the
 ascendant, making the understanding of the etiology and pathogenesis of Parkinson's disease
 more In-depth, provide more basis and means for the pathogenesis and development of
 Parkinson's disease, but due to the number of individual samples, operational norms and
 platform differences, different research groups have great differences in the results of gene
 chip research on Parkinson's mechanism, resulting in the reliability is poor; In order to
 improve the credibility of the pathogenesis of Parkinson's disease and the development of
 genetic diagnosis, the investigators use the statistical means of meta-analysis to integrate
 the results of the chip research on Parkinson's disease in different research groups and find
 synaptic correlation function may be closely related to the development of Parkinson's
 disease, PPP2CA, PPP3CB, SYNJ1, NSF, CYCS genes may be key genes in the pathogenesis of
 Parkinson's disease, and the expression of these genes is related to the pathogenesis and
 development of PD patients. the investigators will conduct a small sample validation in the
 clinic to explore the intrinsic mechanism of Parkinson's disease and follow-up experimental
 research provides guidance and reference.
Inclusion Criteria:

 -  PD group：

 -  Patients who meet the 2016 China Parkinson's diagnostic criteria and the 2015
 International Parkinson's and Movement Disorders Association (MDS) Parkinson's
 disease diagnostic criteria

 -  Newly diagnosed primary PD patients, diagnosed within 3-6 months

 -  Informed consent to the study

 -  Age > 18 older

 -  Non-PD group:

 -  Age, gender-matched PD group

 -  Non-PD, non-PDS, non-neurological degenerative disease, patients without
 inflammatory disease and related family history

 -  Informed consent to the study

 -  Age > 18 older

 Exclusion Criteria:

 -  Severe craniocerebral trauma patients

 -  Disturbance of consciousness

 -  Severe organic diseases, cerebral hemorrhage, cerebral thrombosis, severe coronary
 heart disease and lung disease, severe liver and kidney dysfunction, severe diabetes,
 severe hearing And visual impairment

 -  History of severe brain tumors, encephalitis or brain surgery