Evidence map›Paper›PMID 37920555›Full record

ArticleCurrent genomics2023

Long Noncoding RNA and mRNA Expression Profiles in Rats with LPS-induced Myocardial Dysfunction.

Ye-Chen Han, Zhu-Jun Shen, Ruo-Lan Xiang, Bo Lu, Hao Qian, Jing-Yi Li, Hong-Zhi Xie

Open access · greenAbstract read
In one paragraph

Article in Current genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

6 citing papers in PubMed, 3 citations in OpenAlex.

  1. CEBPD-MMP8 Axis Contributes to Cardiomyocyte Injury in Septic Shock.Applied biochemistry and biotechnology · 2026
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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

7 authors at 2 institutions in 1 country.

Ye-Chen HanDepartment of Cardiology, Peking Union Medical College Hospital, No. 1 North Street, Dongdan, Beijing, 100032, China.
Zhu-Jun ShenDepartment of Cardiology, Peking Union Medical College Hospital, No. 1 North Street, Dongdan, Beijing, 100032, China.
Ruo-Lan XiangSchool of Basic Medical Sciences, Peking University, Beijing, China.
Bo LuDepartment of Gastroenterology, Peking Union Medical College Hospital, Beijing, China.
Hao QianDepartment of Cardiology, Peking Union Medical College Hospital, No. 1 North Street, Dongdan, Beijing, 100032, China.
Jing-Yi LiDepartment of Cardiology, Peking Union Medical College Hospital, No. 1 North Street, Dongdan, Beijing, 100032, China.
Hong-Zhi XieDepartment of Cardiology, Peking Union Medical College Hospital, No. 1 North Street, Dongdan, Beijing, 100032, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis is an uncontrolled systemic inflammatory response. Long noncoding RNAs (lncRNAs) are involved in the pathogenesis of sepsis. However, little is known about the roles of lncRNAs in sepsis-induced myocardial dysfunction. Objective: We aimed to determine the regulatory mechanism of lncRNAs in sepsis-induced myocardial dysfunction. Methods: In this study, we analysed the lncRNA and mRNA expression profiles using microarray analysis. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, protein-protein interaction network, and gene set enrichment analysis were used to evaluate the data. We also constructed coding and noncoding coexpression and competing endogenous RNA networks to investigate the mechanisms. Results: Conclusion: These results demonstrate that crosstalk between lncRNAs and mRNAs may play important roles in the development of sepsis-induced myocardial dysfunction.

Indexed as

heartLong noncoding RNAsmicroarraymRNAnetworksepsis

Identifiers

PMID37920555
PMCPMC10173418
OpenAlexW4317513133

What OpenQuestion holds

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Registered trials

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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.