Evidence map›Paper›PMID 31927536›Full record

ArticleAging2020

Up-regulation of microRNA-375 ameliorates the damage of dopaminergic neurons, reduces oxidative stress and inflammation in Parkinson's disease by inhibiting SP1.

Li-Jun Cai, Li Tu, Tian Li, Xiu-Lin Yang, Yi-Pin Ren, Ran Gu, Qian Zhang, Huan Yao, Xiang Qu, Qian Wang and 1 more

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Function ofOncology letters · 2025
    Review
  4. Article
  5. Review
  6. Unlocking Parkinson's disease: the role of microRNAs in regulation, diagnosis, and therapy.Apoptosis : an international journal on programmed cell death · 2025
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Non-coding RNAs and neuroinflammation: implications for neurological disorders.Experimental biology and medicine (Maywood, N.J.) · 2024
    Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Li-Jun CaiDepartment of Neurology, The Affiliated Hospital of Guizhou Medical University, Guiyang 550004, PR. China.
Li TuDepartment of General Medical, The Affiliated Hospital of Guizhou Medical University, Guiyang 550004, PR. China.
Tian LiZunyi Medical University, Zunyi 563000, PR. China.
Xiu-Lin YangDepartment of Emergency, Guizhou Provincial People's Hospital, Guiyang 550004, PR. China.
Yi-Pin RenDepartment of Emergency, Guizhou Provincial People's Hospital, Guiyang 550004, PR. China.
Ran GuDepartment of Neurology, Guizhou Provincial People's Hospital, Guiyang 550004, PR. China.
Qian ZhangDepartment of Emergency, Guizhou Provincial People's Hospital, Guiyang 550004, PR. China.
Huan YaoDepartment of Emergency, Guizhou Provincial People's Hospital, Guiyang 550004, PR. China.
Xiang QuDepartment of Emergency, Guizhou Provincial People's Hospital, Guiyang 550004, PR. China.
Qian WangDepartment of Neurology, Guizhou Provincial People's Hospital, Guiyang 550004, PR. China.
Jin-Yong TianDepartment of Emergency, Guizhou Provincial People's Hospital, Guiyang 550004, PR. China.
Guizhou Provincial People's Hospital · CNAffiliated Hospital of Guizhou Medical University · CNGuiyang Medical University · CNZunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study is conducted to investigate the protective role of elevated microRNA-375 (miR-375) in dopaminergic neurons in Parkinson's disease through down-regulating transcription factor specificity protein 1 (SP1).

resultsThe successfully modeled rats with Parkinson's disease showed aggregated neurobehavioral change, increased neuroinflammatory response and oxidative stress, and lowered dopamine content. Parkinson's disease rats treated with overexpressed miR-375 displayed improved neurobehavioral change, ameliorated neuroinflammatory response and oxidative stress, heightened dopamine content and abated neuronal apoptosis by down-regulating SP1. Up-regulation of SP1 reversed the protective effect of upregulated miR-375 on Parkinson's disease.

conclusionUp-regulation of miR-375 ameliorated the damage of dopaminergic neurons, reduced oxidative stress and inflammation in Parkinson's disease by inhibiting SP1.

methodsParkinson's disease rat model was established by targeted injection of 6-hydroxydopamine to damage the substantia nigra striatum. The successfully modeled Parkinson's disease rats were intracerebroventricularly injected with miR-375 mimics or pcDNA3.1-SP1. The functions of miR-375 and SP1 in neurobehavioral change, neuroinflammatory response, oxidative stress, dopamine content and expression of apoptosis-related proteins in the substantia nigra of Parkinson's disease rats were evaluated. The target relation of miR-375 and SP1 was confirmed by bioinformatics analysis and dual luciferase reporter gene assay.

Indexed as

Gene Expression RegulationAnimalsAutophagy-Related ProteinsDisease Models, AnimalDopaminergic NeuronsInflammationOxidative StressParkinson DiseaseRatsSp1 Transcription FactorSubstantia NigraAutophagy-Related ProteinsSp1 Transcription FactormicroRNA-375neuronsoxidative stressParkinson's diseasespecificity protein 1

Identifiers

PMID31927536
PMCPMC6977707
OpenAlexW2998904796

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.