ABSTRACT
Trace elements have been recognized to play an important role in the development of Parkinson's disease (PD). However, it is difficult to precisely identify the relationship between these elements and the progression of PD because of an insufficient number of patients. In this study, quantifications of selenium (Se), copper (Cu), iron (Fe) and zinc (Zn) by atomic absorption spectrophotometry were performed in plasma from 238 PD patients and 302 controls recruited from eastern China, which is so far the largest cohort of PD patients and controls for measuring plasma levels of these elements. We found that plasma Se and Fe concentrations were significantly increased whereas Cu and Zn concentrations decreased in PD patients as compared with controls. Meanwhile, these four elements displayed differential changes with regard to age. Linear and logistic regression analyses revealed that both Fe and Zn were negatively correlated with age in PD patients. Association analysis suggests that lower plasma Se and Fe levels may reduce the risk for PD, whereas lower plasma Zn is probably a PD risk factor. Finally, a model was generated to predict PD patients based on the plasma concentrations of these four trace elements as well as other features such as sex and age, which achieved an accuracy of 80.97±1.34% using 10-fold cross-validation. In summary, our data provide new insights into the roles of Se, Cu, Fe and Zn in PD progression.
Subject(s)
Copper/blood , Iron/blood , Parkinson Disease/blood , Selenium/blood , Zinc/blood , Age Factors , Aged , Case-Control Studies , China , Cohort Studies , Disease Progression , Female , Humans , Linear Models , Male , Middle Aged , Regression Analysis , Reproducibility of Results , Spectrophotometry, AtomicABSTRACT
OBJECTIVE: To develop a method for determination of clozapine, olanzapine and mirtazapine in human plasma by liquid chromatography-tandem mass spectrometry(LC-MS/MS). METHODS: Clozapine, olanzapine and mirtazapine were extracted from plasma samples by using diethyl ether and separated by Agilent Zorbax SB-C18 column(2.1 mm x 150 mm, 5 microm). Electrospray ionization source was applied, positive ion mode was used to detect and multiple reaction monitoring mode was used to quantify clozapine, olanzapine and mirtazapine. Carbamazepine was the internal standard. RESULTS: The detection limits of clozapine, olanzapine and mirtazapine were within 0.41-0.92 ng/mL. The calibration curve in the concentration range of 10.0-2000.0 ng/mL showed a good linear distribution (r > or = 0.992 4). The average extraction recoveries were within 65.7%-94.2%. Intra-day RSD and inter-day RSD were less than 6% (n = 5). CONCLUSION: This method seems to be quite specific, sensitive and accurate, and can be used to detect clozapine, olanzapine and mirtazapine in forensic and clinical analytic toxicology.
