Evidence map›Paper›PMID 37064502›Full record

ArticleMediators of inflammation2023

MALAT1 Mediates

Xin Geng, Yanghong Zou, Shipeng Li, Renli Qi, Hualin Yu, Jinghui Li

Open access · goldAbstract read
In one paragraph

Article in Mediators of inflammation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Xin GengThe Second Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032 Yunnan, China.
Yanghong ZouThe Second Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032 Yunnan, China.
Shipeng LiThe Second Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032 Yunnan, China.
Renli QiThe Second Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032 Yunnan, China.
Hualin YuThe Second Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032 Yunnan, China.ORCID https://orcid.org/0000-0002-1991-4422
Jinghui LiThe Second Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032 Yunnan, China.ORCID https://orcid.org/0000-0002-8618-3172
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Parkinson's disease (PD) is a very common neurodegenerative disease that adversely affects the physical and mental health of many patients, but there is currently no effective treatment. Objective: To this end, this study focused on investigating the potential mechanisms leading to dopaminergic neuronal apoptosis in PD. Methods: Rotenone induces damage in dopaminergic neuronal MN9D cells. Apoptosis was detected by flow cytometry, and the expression of apoptosis-related proteins was detected by western blot. RT-qPCR was used to detect the expression of MALAT1 and miR-23b-3p. The expression of Results: The expression of MALAT1 and Conclusion: MALAT1 can promote

Indexed as

alpha-SynucleinMicroRNAsNeurodegenerative DiseasesParkinson DiseaseRNA, Long NoncodingAnimalsApoptosisAutophagyDopaminergic NeuronsHumansMiceMicrogliaalpha-SynucleinMalat1 long non-coding RNA, mouseMicroRNAsMirn23b microRNA, mouseRNA, Long Noncoding

Identifiers

PMID37064502
PMCPMC10101752
OpenAlexW4362660859

What OpenQuestion holds

Textmetadata
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.