Evidence map›Paper›PMID 34055659›Full record

ReviewFrontiers in cellular and infection microbiology2021

Long Noncoding RNA: Regulatory Mechanisms and Therapeutic Potential in Sepsis.

Wei Wang, Ni Yang, Ri Wen, Chun-Feng Liu, Tie-Ning Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.8field-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

25 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
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  11. MedComm · 2023
    Article
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  15. Review
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  18. LNCing RNA to immunity.Trends in immunology · 2022
    Review
  19. 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.

Wei WangDepartment of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Ni YangDepartment of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Ri WenDepartment of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Chun-Feng LiuDepartment of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Tie-Ning ZhangDepartment of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection and is characterized by a hyperinflammatory state accompanied by immunosuppression. Long noncoding RNAs (lncRNAs) are noncoding RNAs longer than 200 nucleotides and have important roles in mediating various biological processes. Recently, lncRNAs were found to exert both promotive and inhibitory immune functions in sepsis, thus participating in sepsis regulation. Additionally, several studies have revealed that lncRNAs are involved in sepsis-induced organ dysfunctions, including cardiovascular dysfunction, acute lung injury, and acute kidney injury. Considering the lack of effective biomarkers for early identification and specific treatment for sepsis, lncRNAs may be promising biomarkers and even targets for sepsis therapies. This review systematically highlights the recent advances regarding the roles of lncRNAs in sepsis and sheds light on their use as potential biomarkers and treatment targets for sepsis.

Indexed as

RNA, Long NoncodingSepsisBiomarkersHumansBiomarkersRNA, Long Noncodingacute kidney injuryacute lung injurybiomarkercardiovascular dysfunctioninflammationlncRNAsepsis

Identifiers

PMID34055659
PMCPMC8149942
OpenAlexW3160218939

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.