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.
Study Type
OBSERVATIONAL
Enrollment
238
The venous blood of the two groups of patients was taken for genetic testing, and the expression levels of PPP2CA, PPP3CB, SYNJ1, NSF and CYCS were extracted by pre-processing the genetic data of PD and non-PD patients.
Zhujiang Hospiatal
Guangzhou, Guangdong, China
Parkinson's Key Gene
The blood of patients were taken for genetic testing and relative expression levels of the genes(These genes expression relative to a house keeping gene:GAPDH) for PPP2CA, PPP3CB, SYNJ1, NSF were extracted.The method we used is RT-PCR.
Time frame: 3 days
Unified Parkinson's Disease Rating Scale 3.0（UPDRS 3.0）
The total score ranges from 0 to 199( minimum score is 0 and maximum scores is 199), in which a lower score denotes a better perception of the patient's. Scoring the mental, behavioral and emotional, daily living activities, exercise tests, and drug treatment complications associated with UPDRS3.0 in patients with Parkinson's disease;each item 0-4 points, total score 199 points, 0-50 points: limb and body mild dysfunction, posture response normal;51-100 points: mild postural reaction disorder, self-care in daily life, loss of labor force;101-199: obvious postural reaction disorder, loss of daily life and labor force, may need help to get up and confined to wheelchair life;The more severe the symptoms of Parkinson's disease, the higher the score.
Time frame: 2 days
Non-motor Symptom Scale (NMSS)
Scoring based on the patient's own situation in the last month Severity: 1 = mild; 2 = moderate; 3 = severe Frequency: 1 = very little (less than once a week); 2 = often (1 time a week); 3 = frequent (a few times a week); 4 = very frequent (every day or persist)
Time frame: 2 days
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