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Increasing evidence suggests an association between exercise duration and Parkinson's disease. However, no high-quality prospective evidence exists confirming whether differences exist between the two modes of exercise, weekend warrior and equal distribution of exercise duration, and Parkinson's risk. Hence, this study aimed to explore the association between different exercise patterns and Parkinson's risk using exercise data from the UK Biobank. The study analyzed data from 89,400 UK Biobank participants without Parkinson's disease. Exercise data were collected using the Axivity AX3 wrist-worn triaxial accelerometer. Participants were categorized into three groups: inactive, regularly active, and engaged in the weekend warrior (WW) pattern. The relationship between these exercise patterns and Parkinson's risk was assessed using a multifactorial Cox model. During a mean follow-up of 12.32 years, 329 individuals developed Parkinson's disease. In a multifactorial Cox model, using the World Health Organization-recommended threshold of 150 min of moderate-to-vigorous physical activity per week, both the active WW group [hazard ratio (HR) = 0.58; 95% confidence interval (CI) = 0.43-0.78; P < 0.001] and the active regular group (HR = 0.44; 95% CI = 0.34-0.57; P < 0.001) exhibited a lower risk of developing Parkinson's disease compared with the inactive group. Further, no statistically significant difference was observed between the active WW and the active regular groups (HR = 0.77; 95% CI = 0.56-1.05; P = 0.099). In conclusion, in this cohort study, both the WW exercise pattern and an equal distribution of exercise hours were equally effective in reducing Parkinson's risk.
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http://dx.doi.org/10.1038/s41746-024-01135-3 | DOI Listing |
Anal Chim Acta
November 2025
Department of Chemical Engineering and Analytical Chemistry, Institute for Research on Nutrition and Food Safety (INSA·UB), University of Barcelona, Spain. Electronic address:
Background: Targeted bottom-up proteomics is of great interest for the straightforward, accurate, and sensitive measurement of specific protein biomarkers from surrogate peptide fragments. However, this approach typically relies on off-line enzymatic digestion with trypsin, a time-consuming step that may be inadequate for covering certain sequence regions containing important post-translational modifications (PTMs).
Results: In this study, we present an in-line enzymatic digestion strategy for the targeted bottom-up analysis of α-synuclein (α-syn), which is a protein biomarker of Parkinson's disease (PD).
Eur J Pharmacol
September 2025
Faculty of Medicine, Department of Histology and Embryology, İzmir Katip Çelebi University, İzmir, Turkiye.
Age is the most significant risk factor for Parkinson's disease, a common and progressive neurodegenerative disorder; however, exposure to toxic substances is also strongly implicated. Rotenone, an organic pesticide, induces neuropathological features of Parkinson's disease, and is widely used to create rodent models of the condition. Although the molecular mechanisms involved in the onset and progression of the disease are still unknown, neurodegenerative diseases due to protein accumulation in certain areas of the brain, have been associated with endoplasmic reticulum stress.
View Article and Find Full Text PDFQual Life Res
September 2025
Department of Physical Therapy, Rady Faculty of Health Sciences, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, MB, Canada.
Purpose: The purpose was to identify how the ICECAP-A and ICECAP-O have been used with adults who have neurological health conditions.
Methods: Following the Joanna Briggs Institute framework, a scoping review was conducted, searching five databases (Scopus, CINAHL, MEDLINE, Embase, and PsycINFO). Studies were included if participants were adults (age 18+ years) with neurological health conditions, and ICECAP-A or ICECAP-O were used in the study.
Exp Gerontol
September 2025
Department of Psychology, Christ University, Bangalore, 560029, India.
J Vasc Interv Radiol
September 2025
Chief consultant, Heart failure clinic & Echocardiography, GKNM hospital, Coimbatore, India.