On the correlation between serum Cystatin C and Parkinson's disease in the Chinese population: a promising biomarker?
J Integr Neurosci
; 20(2): 349-357, 2021 Jun 30.
Article
in En
| MEDLINE
| ID: mdl-34258933
ABSTRACT
As there is no clear biomarker to diagnose Parkinson's disease, this meta-analysis aims to comprehensively evaluates the correlation between serum Cystatin C levels and Parkinson's disease in the Chinese population by the meta-analysis method. PubMed, Web of Science, Embase, Cochrane Library, China national knowledge infrastructure, and China WanFang databases were systematically searched on the correlation between serum Cystatin C and Parkinson's disease. The results showed that Cystatin C level in Parkinson's disease patients compared with the control group, the standardized mean difference = 1.78 (95% CI 1.33~2.24, P < 0.05). The level of Cystatin C in the late Parkinson's disease stage compared with that in the mid-term of Parkinson's disease, the standardized mean difference was = 0.78 (95% CI 0.08~1.49, P < 0.05). The Cystatin C level in the mid-term of Parkinson's disease compared with that in the early Parkinson's disease stage, the standardized mean difference was 1.24 (95% CI 0.35~2.12, P < 0.05). The level of Cystatin C in Parkinson's disease with mild cognitive impairment compared with Parkinson's disease without mild cognitive impairment, the standardized mean difference was 1.29 (95% CI 0.47~2.10, P < 0.05). The differences were all statistically significant. In conclusion, a high level of serum Cystatin C may be involved in the occurrence and development of Parkinson's disease, whose level is higher in Parkinson's disease patients with mild cognitive impairment than that in Parkinson's disease without mild cognitive impairment. Therefore, Cystatin C in serum is a promising biomarker for diagnosing Parkinson's disease.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Parkinson Disease
/
Cystatin C
/
Cognitive Dysfunction
Type of study:
Etiology_studies
/
Systematic_reviews
Limits:
Aged
/
Humans
/
Middle aged
Country/Region as subject:
Asia
Language:
En
Journal:
J Integr Neurosci
Journal subject:
NEUROLOGIA
Year:
2021
Document type:
Article
Affiliation country:
China