ReviewiScience2026
Progress in the study of ion channel function, mechanisms, and mathematical modeling in Parkinson's disease.
Review in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Parkinson's disease is a progressive neurodegenerative disorder in which ion channel dysfunction significantly contributes to the pathophysiology. This review summarizes recent advancements in the altered functions of voltage-gated sodium, potassium, and calcium channels, together with ligand-gated channels, revealing how these abnormalities disrupt neuronal excitability, synaptic transmission, autophagy, and metal ion homeostasis. Complementary mathematical modeling, ranging from Hodgkin-Huxley-type simulations of neuronal electrical activity to large-scale network dynamics and data-driven integrative frameworks, successfully reproduces experimental observations and predicts disease progression. These combined experimental and computational insights facilitate the development of targeted therapeutic strategies, including ion channel modulators and neuroprotective agents. By identifying key mechanistic links and overcoming current limitations in model complexity and data integration, this work underscores the importance of multidisciplinary collaboration among neuroscience, pharmacology, and computational biology to advance precise, channel-directed treatments for Parkinson's disease.
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What OpenQuestion holds
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.