multi-chip meta-analysis of parkinson's disease for clinical validation of small samples of key genes in disease

Conditions: Parkinson's Disease

Summary: 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.

Eligibility criteria:
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

Keywords: parkinson's disease synaptic correlation function key gene