Evidence map›Paper›PMID 34967706›Full record

ArticleBioengineered2022

Long non-coding RNA myocardial infarction-associated transcript promotes 1-Methyl-4-phenylpyridinium ion-induced neuronal inflammation and oxidative stress in Parkinson's disease through regulating microRNA-221-3p/ transforming growth factor /nuclear factor E2-related factor 2 axis.

Yue Lang, Hui Zhang, Haojia Yu, Yu Li, Xiao Liu, Minjie Li

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

14 citing papers in PubMed, 17 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 2 institutions in 1 country.

Yue LangDepartment of Neurology, The Second Hospital of Dalian Medical University, Dalian City, Liaoning Province, China.
Hui ZhangDepartment of Neurology, The Second Hospital of Dalian Medical University, Dalian City, Liaoning Province, China.
Haojia YuDepartment of Neurology, The Second Hospital of Dalian Medical University, Dalian City, Liaoning Province, China.
Yu LiDepartment of Neurology, The Second Hospital of Dalian Medical University, Dalian City, Liaoning Province, China.
Xiao LiuGraduate School, Dalian Medical University, Dalian City, Liaoning Province, China.
Minjie LiGraduate School, Dalian Medical University, Dalian City, Liaoning Province, China.
Dalian Medical University · CNSecond Affiliated Hospital of Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study attempted to evaluate the role of long non-coding RNA myocardial infarction-associated transcript (LncRNA MIAT) in Parkinson's disease (PD). The mouse model was established through intraperitoneal injection with 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP), and

Indexed as

1-Methyl-4-phenylpyridiniumAnimalsCell LineCell SurvivalDisease Models, AnimalHumansMaleMiceMicroRNAsNF-E2-Related Factor 2Oxidative StressParkinson DiseaseReceptor, Transforming Growth Factor-beta Type IRNA, Heterogeneous NuclearRNA, Long NoncodingRotarod Performance Test1-Methyl-4-phenylpyridiniumMiat long non-coding RNAMicroRNAsMIRN221 microRNA, mouseNfe2l2 protein, mouseNF-E2-Related Factor 2Receptor, Transforming Growth Factor-beta Type IRNA, Heterogeneous NuclearRNA, Long NoncodingTgfb1 protein, mouseTgfbr1 protein, mouseTransforming Growth Factor beta1long non-coding RNA myocardial infarction-associated transcriptmiR-221-3pParkinson’s disease

Identifiers

PMID34967706
PMCPMC8805986
OpenAlexW4200522194

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.