Metallomic Biomarkers in Cerebrospinal fluid and Serum in patients with Parkinson's disease in Indian population.

ABSTRACT: Parkinson's disease (PD) is a neurodegenerative disease with the absence of markers for diagnosis. Several studies on PD reported the elements imbalance in biofluids as biomarkers. However, their results remained inconclusive. This study integrates metallomics, multivariate and artificial neural network (ANN) to understand element variations in CSF and serum of PD patients from the largest cohort of Indian population to solve the inconsistent results of previous studies. Also, this study is aimed to (1) ascertain a common element signature between CSF and serum. (2) Assess cross sectional element variation with clinical symptoms. (3) Develop ANN models for rapid diagnosis. A metallomic profile of 110 CSF and 530 serum samples showed significant variations in 10 elements of CSF and six in s

SUBMITTER: Sanyal J 

PROVIDER: S-EPMC5067653 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature