Evidence map›Paper›PMID 33299883›Full record

ReviewBioMed research international2020

Long Noncoding RNA/Circular RNA-miRNA-mRNA Axes in Ischemia-Reperfusion Injury.

Chengwu Gong, Xueliang Zhou, Songqing Lai, Lijun Wang, Jichun Liu

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  5. Article
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  7. Iranian journal of basic medical sciences · 2023
    Article
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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

5 authors at 1 institution in 1 country.

Chengwu GongDepartment of Cardiothoracic Surgery, Second Affiliated Hospital, Nanchang University, Nanchang, Jiangxi 330006, China.ORCID https://orcid.org/0000-0001-5422-1974
Xueliang ZhouDepartment of Cardiothoracic Surgery, First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi 330006, China.
Songqing LaiDepartment of Cardiothoracic Surgery, First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi 330006, China.
Lijun WangDepartment of Cardiothoracic Surgery, Second Affiliated Hospital, Nanchang University, Nanchang, Jiangxi 330006, China.
Jichun LiuDepartment of Cardiothoracic Surgery, Second Affiliated Hospital, Nanchang University, Nanchang, Jiangxi 330006, China.ORCID https://orcid.org/0000-0003-3624-9134
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemia-reperfusion injury (IRI) elicits tissue injury involved in a wide range of pathologies. Multiple studies have demonstrated that noncoding RNAs (ncRNAs), including long noncoding RNAs (lncRNAs), circular RNAs (circRNAs), and microRNAs (miRNAs), participate in the pathological development of IRI, and they may act as biomarkers, therapeutic targets, or prognostic indicators. Nonetheless, the specific molecular mechanisms of ncRNAs in IRI have not been completely elucidated. Regulatory networks among lncRNAs/circRNAs, miRNAs, and mRNAs have been the focus of attention in recent years. Studies on the underlying molecular mechanisms have contributed to the discovery of therapeutic targets or strategies in IRI. In this review, we comprehensively summarize the current research on the lncRNA/circRNA-miRNA-mRNA axes and highlight the important role of these axes in IRI.

Indexed as

AnimalsApoptosisAutophagyBrainGenome, HumanHepatocytesHumansInflammationKidneyMicroRNAsMyocardiumNecrosisPrognosisReperfusion InjuryRNA, CircularRNA, Long NoncodingMicroRNAsRNA, CircularRNA, Long NoncodingRNA, Messenger

Identifiers

PMID33299883
PMCPMC7710414
OpenAlexW3110282489

What Socratic 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 Socratic graph.