Metabolomic profiling to develop blood biomarkers for Parkinson's disease Export

@article{citeulike:2289468, abstract = {The development of biomarkers for the diagnosis and monitoring disease progression in Parkinson's disease (PD) is of great importance since diagnosis based on clinical parameters has a considerable error rate. In this study, we utilized metabolomic profiling using high performance liquid chromatography coupled with electrochemical coulometric array detection (LCECA) to look for biomarkers in plasma useful for the diagnosis of PD. We examined 25 controls and 66 PD patients. We also measured 8-hydroxy-2-deoxyguanosine (8-OHdG) levels as a marker of oxidative damage to DNA. We initially examined the profiles of unmedicated PD subjects compared to controls to rule out confounding effects of symptomatic medications. We found a complete separation of the two groups. We then determined the variables, which played the greatest role in separating the two groups and applied them to PD subjects taking dopaminergic medications. Using these parameters, we achieved a complete separation of the PD patients from controls. 8-OHdG levels were significantly increased in PD patients, but overlapped controls. Two other markers of oxidative damage were measured in our LCECA profiles. Uric acid was significantly reduced while glutathione was significantly increased in PD patients. These findings show that metabolomic profiling with LCECA coulometric array has great promise for developing biomarkers for both the diagnosis, as well as monitoring disease progression in PD. 10.1093/brain/awm304}, author = {Bogdanov, Mikhail and Matson, Wayne R. and Wang, Lei and Matson, Theodore and Saunders-Pullman, Rachel and Bressman, Susan S. and Beal, Flint M.}, citeulike-article-id = {2289468}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/brain/awm304}, citeulike-linkout-1 = {http://brain.oxfordjournals.org/cgi/content/abstract/131/2/389}, day = {1}, doi = {10.1093/brain/awm304}, journal = {Brain}, keywords = {biomarkers, blood\_classifier, parkinson}, month = {February}, number = {2}, pages = {389--396}, posted-at = {2008-01-25 14:22:35}, priority = {2}, title = {Metabolomic profiling to develop blood biomarkers for Parkinson's disease}, url = {http://dx.doi.org/10.1093/brain/awm304}, volume = {131}, year = {2008} }

TY - JOUR ID - citeulike:2289468 L3 - citeulike-article-id:2289468 N2 - The development of biomarkers for the diagnosis and monitoring disease progression in Parkinson's disease (PD) is of great importance since diagnosis based on clinical parameters has a considerable error rate. In this study, we utilized metabolomic profiling using high performance liquid chromatography coupled with electrochemical coulometric array detection (LCECA) to look for biomarkers in plasma useful for the diagnosis of PD. We examined 25 controls and 66 PD patients. We also measured 8-hydroxy-2-deoxyguanosine (8-OHdG) levels as a marker of oxidative damage to DNA. We initially examined the profiles of unmedicated PD subjects compared to controls to rule out confounding effects of symptomatic medications. We found a complete separation of the two groups. We then determined the variables, which played the greatest role in separating the two groups and applied them to PD subjects taking dopaminergic medications. Using these parameters, we achieved a complete separation of the PD patients from controls. 8-OHdG levels were significantly increased in PD patients, but overlapped controls. Two other markers of oxidative damage were measured in our LCECA profiles. Uric acid was significantly reduced while glutathione was significantly increased in PD patients. These findings show that metabolomic profiling with LCECA coulometric array has great promise for developing biomarkers for both the diagnosis, as well as monitoring disease progression in PD. 10.1093/brain/awm304 IS - 2 JF - Brain EP - 396 TI - Metabolomic profiling to develop blood biomarkers for Parkinson's disease VL - 131 SP - 389 KW - biomarkers KW - blood_classifier KW - parkinson AU - Bogdanov, Mikhail AU - Matson, Wayne AU - Wang, Lei AU - Matson, Theodore AU - Saunders-Pullman, Rachel AU - Bressman, Susan AU - Beal, Flint PY - 2008/02/01/ UR - http://dx.doi.org/10.1093/brain/awm304 ER -