bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 7, 2024
The motor stage of idiopathic Parkinson's disease (iPD) can be preceded for years by a prodromal characterized non-motor symptoms like REM sleep behavior disorder (RBD). Here, we show that multiple stages iPD, including the pre-motor stage, stratified according to inflammatory and immunometabolic responses stimulation peripheral blood mononuclear cells
Language: Английский
ACS Omega, Journal Year: 2025, Volume and Issue: 10(2), P. 1864 - 1892
Published: Jan. 8, 2025
Parkinson's disease (PD) is a progressive neurodegenerative disorder that primarily affects movement. It occurs due to gradual deficit of dopamine-producing brain cells, particularly in the substantia nigra. The precise etiology PD not fully understood, but it likely involves combination genetic and environmental factors. therapies available at present alleviate symptoms do stop disease's advancement. Research endeavors are currently directed inventing disease-controlling aim inherent mechanisms PD. biomarker breakthroughs hold enormous potential: earlier diagnosis, better monitoring, targeted treatment based on individual response could significantly improve patient outcomes ease burden this disease. research an active evolving field, focusing understanding mechanisms, identifying biomarkers, developing new treatments, improving care. In report, we explore data from CAS Content Collection outline progress We analyze publication landscape offer perspective into latest expertise advancements. Key emerging concepts reviewed strategies fight evaluated. Pharmacological targets, risk factors, as well comorbid diseases explored, clinical usage products against with their production pipelines trials for drug repurposing examined. This review aims comprehensive overview advancing current about PD, define challenges, assess growth prospects stimulate efforts battling
Language: Английский
Citations
3
Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 107, P. 568 - 582
Published: July 30, 2024
Parkinson's disease (PD) is the second most prevalent neurological disorder, predominantly affecting older people. With no existing cure, early detection of PD, where symptoms are not entirely evident but indicative disease's onset, critical. This study aims to design and develop AI-based diagnostic methods that can detect these signs PD with high accuracy, thereby facilitating more effective management. focuses on developing a method only identifies at an stage also provides clinicians tool interpret decisions taken by AI models avoid misdiagnosis. In this study, T2-weighted 3D Magnetic resonance imaging (MRI) dataset used analyze detailed morphological, textural, structural changes. The MRI scans pre-processed using brain extraction, image registration, bias correction, normalization, segmentation processes. Upon segmentation, feature extraction was applied segmented subcortical regions radiomics tools, resulting in 107 features. top 20 features were selected through Pearson's correlation, recursive elimination, ranking model, which responsible for ML model's class prediction. Statistical validation performed Analysis Variance (ANOVA), pairwise t-tests, Kruskal-Wallis H-tests ensure identified dominant Based features, several Machine Learning (ML) identify best classifier provided real-world scans. Gradient Boosting (GB) algorithm achieved better prediction accuracy among compared models. Incorporating Synthetic Minority Over-sampling Technique (SMOTE) address data imbalances significantly improved performance, boosting 96.8 % from 87 %. Further, multiple Explainable Artificial Intelligence (XAI) techniques deployed enhance transparency interpretability These provide insights into how each influences predictions classifier, assisting making trustworthy when planning diagnosis treatment measures.
Language: Английский
Citations
5
Journal of Industrial and Engineering Chemistry, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Language: Английский
Citations
0
Cells, Journal Year: 2024, Volume and Issue: 13(9), P. 770 - 770
Published: April 30, 2024
Parkinson’s disease (PD) is recognized as the second most prevalent primary chronic neurodegenerative disorder of central nervous system. Clinically, PD characterized a movement disorder, exhibiting an incidence and mortality rate that increasing faster than any other neurological condition. In recent years, there has been growing interest concerning role gut microbiota in etiology pathophysiology PD. The establishment brain–gut axis now real, with evidence denoting bidirectional communication between brain through metabolic, immune, neuronal, endocrine mechanisms pathways. Among these, vagus nerve represents direct form gut. Given potential interactions bacteria drugs, it observed therapies for can have impact on composition microbiota. Therefore, scope present review, we will discuss current understanding whether this may be new paradigm treating devastating disease.
Language: Английский
Citations
3
Journal of Medicine and Life, Journal Year: 2024, Volume and Issue: 17(3), P. 360 - 367
Published: March 1, 2024
Parkinson's disease (PD) presents a significant clinical challenge due to its profound motor and cognitive impacts. Early diagnosis is crucial for implementing effective, stage-based treatment strategies. Recently, eye-tracking technology has emerged as promising tool the non-invasive monitoring of various neurological disorders, including PD. This retrospective study analyzed parameters, specifically visually-guided saccades (VGS), in PD patients within setting. We reviewed data from 62 patients, focusing on eye movement performance horizontal vertical VGS tasks. Our findings revealed correlations between demographic profiles, Mini-Mental State Examination (MMSE) scores, pattern recognition, spatial working memory tests with saccadic patients. Despite nature study, our results support potential valuable diagnostic assessment monitoring. Future research should prioritize longitudinal studies more comprehensive assessments further understand enhance application
Language: Английский
Citations
2
Journal of Parkinson s Disease, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 7
Published: Sept. 27, 2024
Family studies have linked several rare genetic variants to hereditary forms of Parkinson’s disease (PD). In addition these monogenic forms, many PD cases are associated with risk factors. Asymptomatic individuals carrying pathogenic at developing the later in life, thereby providing a unique opportunity for detection earliest pathophysiological and clinical changes and, importantly, also protective compensatory features mechanisms. However, rarity PD-causing is major challenge this approach. review, we discuss recent advances search biomarkers prodromal/earliest phase genetically PD.
Language: Английский
Citations
1
Progress in Neurobiology, Journal Year: 2024, Volume and Issue: 242, P. 102673 - 102673
Published: Oct. 9, 2024
Synaptic networks determine brain function. Highly complex interconnected synaptic provide output even under fluctuating or pathological conditions. Relevant to the treatment of disorders, understanding limitations such functional becomes paramount. Here we use example Parkinson's Disease (PD) as a system disorder, with PD symptomatology emerging only when reserves neurons, and their networks, are unable facilitate effective compensatory mechanisms. We have denoted this "threshold theory" account for how symptoms develop in sequence. In perspective, threshold functions delineated quantitative, synaptic, cellular network context. This provides framework discuss development specific symptoms. includes dysfunction degeneration many organ systems both peripheral central nervous involvement. The theory accounts explains reasons why parallel gradually pathologies generate thresholds crossed, like tipping points. New mounting evidence demonstrate that related neurodegenerative diseases multisystem which transcends traditional brain-centric paradigm. believe representation will be helpful new medicines interventions pre- post-symptomatic periods disorders.
Language: Английский
Citations
1
Biomarkers in Neuropsychiatry, Journal Year: 2024, Volume and Issue: 10, P. 100083 - 100083
Published: Feb. 2, 2024
Language: Английский
Citations
0
Published: Jan. 1, 2024
Synaptic networks determine brain function. Highly complex interconnected synaptic provide output even under fluctuating or pathological conditions. Relevant to the treatment of disorders, understanding limitations such functional becomes paramount. Here we use example Parkinson's Disease (PD) as a system disorder, with PD symptomatology emerging only when reserves neurons, and their networks, are unable facilitate effective compensatory mechanisms. We have denoted this "threshold theory" account for how symptoms develop in sequence. In perspective, threshold functions delineated quantitative, synaptic, cellular network context. This provides framework discuss development specific symptoms. includes dysfunction degeneration many organ systems both peripheral central nervous involvement. The theory accounts explains reasons why parallel gradually pathologies generate thresholds crossed, like tipping points. New mounting evidence demonstrate that related neurodegenerative diseases multisystem which transcends traditional brain-centric paradigm. believe representation will be helpful new medicines interventions pre- post-symptomatic periods disorders.
Language: Английский
Citations
0
npj Parkinson s Disease, Journal Year: 2024, Volume and Issue: 10(1)
Published: Oct. 24, 2024
The ability of serum biomarkers to predict the prognosis and response deep-brain stimulation (DBS) therapy in Parkinson's disease (PD) patients is promising. Here, we showed that NfL differed between healthy individuals PD changes NfL, GFAP, BDNF occurred only transiently after DBS surgery. Therefore, subthalamic does not promote neurodegeneration, these do serve as clinical improvement endpoints patients.
Language: Английский
Citations
0