An analytical method is described for measuring L-3,4-dihydroxyphenylalanine (L-DOPA), 3-O-methyl-DOPA, dihydroxyphenylacetic acid, free catecholamines and the peripheral DOPA decarboxylase inhibitor, carbidopa, in plasma samples of Parkinsonian patients by using high-performance liquid chromatography. A sample preparation method is presented for the isolation of the catecholamines and L-DOPA with its metabolites. Catecholamines are extracted by weak cation exchange on small columns and subsequent adsorption on alumina. L-DOPA, 3-O-methyl-DOPA, dihydroxyphenylacetic acid and carbidopa contained in the column effluents are directly injected in the chromatographic system. The eluates are separated on a reversed-phase column, monitored by both a coulometric electrochemical detector and a fluorescence detector, connected in series. Chromatographic peaks were identified on the basis of their retentions and response ratios of the two detectors. Two examples are presented of therapeutic drug monitoring in Parkinsonian patients treated with oral doses and continuous intravenous infusion of L-DOPA.
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http://dx.doi.org/10.1016/s0021-9673(01)82046-x | DOI Listing |
Co-existing neuropathological comorbidities have been repeatedly reported to be extremely common in subjects dying with dementia due to Alzheimer disease. As these are likely to be additive to cognitive impairment, and may not be affected by molecularly-specific AD therapeutics, they may cause significant inter-individual response heterogeneity amongst subjects in AD clinical trials. Furthermore, while originally noted for the oldest old, recent reports have now documented high neuropathological comorbidity prevalences in younger old AD subjects, who are more likely to be included in clinical trials.
View Article and Find Full Text PDFAJNR Am J Neuroradiol
January 2025
From the Department of Neurology, the First Hospital of Jilin University, Changchun, Jilin Province, China.
Background And Purpose: Differentiating Parkinson's Disease (PD) from Atypical Parkinsonism Syndrome (APS), including Multiple System Atrophy (MSA) and Progressive Supranuclear Palsy (PSP), is challenging, and there is no gold standard. Integrating quantitative susceptibility mapping (QSM) and morphometry can help differentiate PD from APS and improve the internal diagnosis of APS.
Materials And Methods: In this retrospective study, we enrolled 55 patients with PD, 17 with MSA-parkinsonian type (MSA-P), 15 with MSA-cerebellar type (MSA-C), and 14 with PSP.
Sci Signal
January 2025
Department of Environmental Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Chronic exposure to manganese (Mn) induces manganism and has been widely implicated as a contributing environmental factor to Parkinson's disease (PD), featuring notable overlaps between the two in motor symptoms and clinical hallmarks. Here, we developed an adult model of Mn toxicity that recapitulated key parkinsonian features, spanning behavioral deficits, neuronal loss, and dysfunctions in lysosomes and mitochondria. Metabolomics analysis of the brain and body tissues of these flies at an early stage of toxicity identified systemic changes in the metabolism of biotin (also known as vitamin B) in Mn-treated groups.
View Article and Find Full Text PDFBrain Behav
January 2025
Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Background: While automated methods for differential diagnosis of parkinsonian syndromes based on MRI imaging have been introduced, their implementation in clinical practice still underlies considerable challenges.
Objective: To assess whether the performance of classifiers based on imaging derived biomarkers is improved with the addition of basic clinical information and to provide a practical solution to address the insecurity of classification results due to the uncertain clinical diagnosis they are based on.
Methods: Retro- and prospectively collected data from multimodal MRI and standardized clinical datasets of 229 patients with PD (n = 167), PSP (n = 44), or MSA (n = 18) underwent multinomial classification in a benchmark study comparing the performance of nine machine learning methods.
Ann Neurol
January 2025
Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Objective: The objective of this study was to delineate synaptic density alterations in multiple system atrophy (MSA) and explore its potential role as a biomarker for MSA diagnosis and disease severity monitoring using [F]SynVesT-1 positron emission tomography / computed tomography (PET CT).
Methods: In this prospective study, 60 patients with MSA (30 patients with MSA-parkinsonian [MSA-P] subtype and 30 patients with MSA-cerebellar [MSA-C] subtype), 30 patients with Parkinson's disease (PD), and 30 age-matched healthy controls (HCs) underwent [F]SynVesT-1 PET/CT for synaptic density assessment. Visual, voxel, and volumetric region of interest (VOI) analyses were used to elucidate synaptic density patterns in the MSA brain and establish diagnostic criteria.
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