ReviewFrontiers in neuroscience2022
Parkinson's Disease: Overview of Transcription Factor Regulation, Genetics, and Cellular and Animal Models.
Review in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neuroinflammation in Parkinson's Disease: From Gene to Clinic: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Neuroprotective Effects of Lycopene in Parkinson's Disease Mice: Potential Modulation of DAT/SLC6A3-Mediated Dopaminergic Pathway.Nutrients · 2026Article
- Understanding the Pre-Clinical Stages of Parkinson's Disease: Where Are We in Clinical and Research Settings?International journal of molecular sciences · 2025Review
- Alpha-synuclein null mutation exacerbates the phenotype of a model of Menkes disease in female mice.Frontiers in neuroscience · 2025Article
- The pyroptosis mediated biomarker pattern: an emerging diagnostic approach for Parkinson's disease.Cellular & molecular biology letters · 2024Article
- Towards Understanding Neurodegenerative Diseases: Insights fromInternational journal of molecular sciences · 2023Review
- Autophagy‑regulating miRNAs: Novel therapeutic targets for Parkinson's disease (Review).International journal of molecular medicine · 2023Review
- Dual role of brain-derived extracellular vesicles in dementia-related neurodegenerative disorders: cargo of disease spreading signals and diagnostic-therapeutic molecules.Translational neurodegeneration · 2022Review
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
Abstract
Parkinson's disease (PD) is one of the most common neurodegenerative disorders, affecting nearly 7-10 million people worldwide. Over the last decade, there has been considerable progress in our understanding of the genetic basis of PD, in the development of stem cell-based and animal models of PD, and in management of some clinical features. However, there remains little ability to change the trajectory of PD and limited knowledge of the underlying etiology of PD. The role of genetics versus environment and the underlying physiology that determines the trajectory of the disease are still debated. Moreover, even though protein aggregates such as Lewy bodies and Lewy neurites may provide diagnostic value, their physiological role remains to be fully elucidated. Finally, limitations to the model systems for probing the genetics, etiology and biology of Parkinson's disease have historically been a challenge. Here, we review highlights of the genetics of PD, advances in understanding molecular pathways and physiology, especially transcriptional factor (TF) regulators, and the development of model systems to probe etiology and potential therapeutic applications.
Indexed as
Identifiers
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.