ArticleOpen life sciences2020
Long non-coding RNA NEAT1 mediates MPTP/MPP
Article in Open life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed, 22 citations in OpenAlex.
- lncRNAs: key player in Aβ deposition.RNA biology · 2026Review
- KLF4 in Parkinson's Disease: Decoding the Molecular Puzzle of Neuroinflammation, Oxidative Stress, and Emerging Therapies.Current medical science · 2026Review
- Distinct expression of NEAT1 isoforms in Parkinson's disease models suggests different roles of the variants during the disease course.Scientific reports · 2025Article
- Diagnostic Potential of NEAT1, hsa-let-7a-5p, and miR-506-3p in Early-stage Parkinson's Disease.Current medicinal chemistry · 2025Article
- Therapeutic Targeting of Krüppel-Like Factor 4 and Its Pharmacological Potential in Parkinson's Disease: a Comprehensive Review.Molecular neurobiology · 2024Review
- The Potential of Targeting Autophagy-Related Non-coding RNAs in the Treatment of Alzheimer's and Parkinson's Diseases.Cellular and molecular neurobiology · 2024Review
- Neuronal dysfunction and gene modulation by non-coding RNA in Parkinson's disease and synucleinopathies.Frontiers in cellular neuroscience · 2023Review
- Integrating nutriepigenomics in Parkinson's disease management: New promising strategy in the omics era.IBRO neuroscience reports · 2022Article
- The Role of Non-Coding RNAs in the Pathogenesis of Parkinson's Disease: Recent Advancement.Pharmaceuticals (Basel, Switzerland) · 2022Review
- Dysregulated miRNAs as Biomarkers and Therapeutical Targets in Neurodegenerative Diseases.Journal of personalized medicine · 2022Review
- lncRNA NEAT1 promotes autophagy of neurons in mice by impairing miR-107-5p.Bioengineered · 2022Article
- Noncoding RNAs in apoptosis: identification and function.Turkish journal of biology = Turk biyoloji dergisi · 2022Review
- Crosstalk between regulatory non-coding RNAs and oxidative stress in Parkinson's disease.Frontiers in aging neuroscience · 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
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accumulating evidence suggests that dysregulation of long non-coding RNAs is closely associated with various human diseases, including Parkinson's disease (PD). However, the role of nuclear-enriched abundant transcript 1 (NEAT1) in the PD process remains unclear. The number of TH+ cells was reduced, and the expression levels of NEAT1 and Krüppel-like factor 4 (KLF4) were increased in the midbrain of MPTP-HCl-treated mice. In addition, the expression of cleaved-caspase-3 (cleaved-casp-3) and Bax (apoptosis-related proteins) was increased, while the expression of Bcl-2 (anti-apoptotic protein) was reduced in MPTP-HCl-treated mice. The expression levels of NEAT1 and KLF4 were increased in MPP
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.