Background: Parkinson's disease (PD) is a progressive neurodegenerative disease with increasing prevalence. Effective diagnostic markers and therapeutic methods are still lacking. Exploring key molecular markers and mechanisms for PD can help with early diagnosis and treatment improvement.
Methods: Three datasets GSE174052, GSE77668, and GSE168496 were obtained from the GEO database to search differentially expressed circRNA (DECs), miRNAs (DEMis), and mRNAs (DEMs). GO and KEGG enrichment analyses, and protein-protein interaction (PPI) network construction were implemented to explore possible actions of DEMs. Hub genes were selected to establish circRNA-related competing endogenous RNA (ceRNA) networks.
Results: There were 1005 downregulated DECs, 21 upregulated and 21 downregulated DEMis, and 266 upregulated and 234 downregulated DEMs identified. The DEMs were significantly enriched in various PD-associated functions and pathways such as extracellular matrix organization, dopamine synthesis, PI3K-Akt, and calcium signaling pathways. Twenty-one hub genes were screened out, and a PD-related ceRNA regulatory network was constructed containing 31 circRNAs, one miRNA (miR-371a-3p), and one hub gene (KCNJ6).
Conclusion: We identified PD-related molecular markers and ceRNA regulatory networks, providing new directions for PD diagnosis and treatment.
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http://dx.doi.org/10.1186/s12920-024-01885-9 | DOI Listing |
Histol Histopathol
January 2025
Department of Neurology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Jiangsu, PR China.
Parkinson's disease (PD) is a limb movement disorder caused by the degeneration of brain neurons and seriously affects the quality of life of the elderly. However, the current drugs are symptomatic treatments that cannot prevent or delay the development of the disease. Targeted therapy for pathogenesis may be the direction of development in the future.
View Article and Find Full Text PDFFront Psychol
January 2025
Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology of Bari Institute, Bari, Italy.
Introduction: Cognitive symptoms are common in Parkinson's Disease (PD), and digital interventions like telerehabilitation other an accessible way to manage these symptoms. This study aimed to assess the effectiveness of a Home-Based Computerized Cognitive Training (HB-CCT) program in individuals with PD using a pilot randomized cross-over design.
Methods: Twenty-five participants (mean age 69.
BMJ Neurol Open
January 2025
Department of Neurology, National Hospital Organization Higashinagoya National Hospital, Nagoya, Japan.
Background: Longitudinal studies investigating cognitive function changes in patients with progressive supranuclear palsy (PSP) are limited. The variability of cognitive impairment across clinical subtypes of PSP remains unclear.
Objective: This study aimed to compare the longitudinal changes in cognitive function between patients with PSP and Parkinson's disease (PD) and to assess differences in cognitive impairment among PSP subtypes.
Clin Park Relat Disord
December 2024
Department of Neurology and Movement Disorders Center, Seoul National University Hospital, College of Medicine, Seoul National University, Seoul, Korea.
Background: There remains a significant gap in systematic research on healthcare utilization behaviors and the influencing factors for patients with Parkinson's disease (PD), particularly those in late stages.
Methods: PD patients in late stage (Hoehn and Yahr (HY) stages 4 and 5) and their caregivers from Seoul National University Hospital Movement Disorders Clinic participated. A total of 103 respondents completed a questionnaire covering medical utilization behaviors, perceptions of face-to-face and telemedicine consultations, and additional medical service needs.
Heliyon
January 2025
Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022, València, Spain.
Resting state electroencephalography (EEG) has proved useful in studying electrophysiological changes in neurodegenerative diseases. In many neuropathologies, microstate analysis of the eyes-closed (EC) scalp EEG is a robust and highly reproducible technique for assessing topological changes with high temporal resolution. However, scalp EEG microstate maps tend to underestimate the non-occipital or non-alpha-band networks, which can also be used to detect neuropathological changes.
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