ArticleAging2023
Cytokine profiles of plasma extracellular vesicles as progression biomarkers in Parkinson's disease.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Differential Proteomic Landscape of Plasma Neuron-Derived Extracellular Vesicles in Parkinson's Disease with and without RBD: A Pilot Investigation.International journal of nanomedicine · 2026Article
- Comparison of Methods for Isolation and Characterization of Total and Astrocyte-Enriched Extracellular Vesicles From Human Serum and Plasma.Journal of extracellular biology · 2025Article
- Association Between Levodopa with Inotrope Prescription and Mechanical Ventilation Dependence in People with Parkinson's Disease upon Septic Shock.Journal of clinical medicine · 2025Article
- Small extracellular vesicle-associated surface protein biomarkers: emerging roles, opportunities, and challenges in diagnostics.Frontiers in bioengineering and biotechnology · 2025Review
- Shared and distinct changes in the molecular cargo of extracellular vesicles in different neurodegenerative diseases.Cellular and molecular life sciences : CMLS · 2024Review
- Emerging Role of Extracellular Vesicles as Biomarkers in Neurodegenerative Diseases and Their Clinical and Therapeutic Potential in Central Nervous System Pathologies.International journal of molecular sciences · 2024Review
- Emergence of Extracellular Vesicles as "Liquid Biopsy" for Neurological Disorders: Boom or Bust.Pharmacological reviews · 2024Review
- Extracellular vesicles from bodily fluids for the accurate diagnosis of Parkinson's disease and related disorders: A systematic review and diagnostic meta-analysis.Journal of extracellular biology · 2023Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInflammation contributes substantially to the pathogenesis of Parkinson's disease (PD). Plasma extracellular vesicle (EV)-derived cytokines are emerging biomarkers of inflammation. We conducted a longitudinal study of the plasma EV-derived cytokine profiles of people with PD (PwP).
methodsA total of 101 people with mild to moderate PD and 45 healthy controls (HCs) were recruited, and they completed motor assessments (Unified Parkinson Disease Rating Scale [UPDRS]) and cognitive tests at baseline and 1-year follow-up. We isolated the participants' plasma EVs and analyzed their levels of cytokines, including interleukin (IL)-1β, IL-6, IL-10, tumor necrosis factor (TNF)-α, and transforming growth factor (TGF)-β.
resultsWe noted no significant changes in the plasma EV-derived cytokine profiles of the PwPs and HCs between baseline and the 1-year follow-up. Among the PwP, changes in plasma EV-derived IL-1β, TNF-α and IL-6 levels were significantly associated with changes in the severity of postural instability and gait disturbance (PIGD) and cognition. Baseline plasma EV-derived IL-1β, TNF-α, IL-6, and IL-10 levels were significantly associated with the severity of PIGD and cognitive symptoms at follow-up, and PwP with elevated IL-1β and IL-6 levels exhibited significant progression of PIGD over the study period.
conclusionThese results suggested the role of inflammation in PD progression. In addition, baseline levels of plasma EV-derived proinflammatory cytokines can be used to predict the progression of PIGD, the most severe motor symptom of PD. Additional studies with longer follow-up periods are necessary, and plasma EV-derived cytokines may serve as effective biomarkers of PD progression.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.