Evidence map›Paper›PMID 37996554›Full record

ArticleScientific reports2023

Exploring potential therapeutic agents for lipopolysaccharide-induced septic cardiomyopathy based on transcriptomics using bioinformatics.

Shaodan Feng, Kexin Cai, Siming Lin, Xiaojun Chen, Yuqing Luo, Jing Wang, Guili Lian, Zhihong Lin, Liangdi Xie

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 10 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

9 authors at 1 institution in 1 country.

Shaodan FengDepartment of Emergency, The First Affiliated Hospital of Fujian Medical University, Fujian, Fuzhou, 350005, China.
Kexin CaiDepartment of Emergency, The First Affiliated Hospital of Fujian Medical University, Fujian, Fuzhou, 350005, China.
Siming LinDepartment of Emergency, The First Affiliated Hospital of Fujian Medical University, Fujian, Fuzhou, 350005, China.
Xiaojun ChenFujian Hypertension Research Institute, The First Affiliated Hospital of Fujian Medical University, Fujian, Fuzhou, 350005, China.
Yuqing LuoDepartment of Emergency, The First Affiliated Hospital of Fujian Medical University, Fujian, Fuzhou, 350005, China.
Jing WangDepartment of Emergency, The First Affiliated Hospital of Fujian Medical University, Fujian, Fuzhou, 350005, China.
Guili LianFujian Hypertension Research Institute, The First Affiliated Hospital of Fujian Medical University, Fujian, Fuzhou, 350005, China. 59192286@qq.com.
Zhihong LinDepartment of Emergency, The First Affiliated Hospital of Fujian Medical University, Fujian, Fuzhou, 350005, China. fzlinzh@163.com.
Liangdi XieFujian Hypertension Research Institute, The First Affiliated Hospital of Fujian Medical University, Fujian, Fuzhou, 350005, China. ldxield@163.com.
Fujian Medical University · CN

Funding

Fujian Provincial Science and Technology Planning Project Social Development Science and Technology Guiding Project 2020Y0032the Fujian Provincial Financial Health and Health Provincial Special Subsidy Funds BPB-2022 FSDthe Fujian Provincial Financial Health and Health Provincial Special Subsidy Funds BPB-FSD2021
6 · The paper itself

Abstract

Septic cardiomyopathy (SCM) is a common and severe complication of sepsis, characterized by left ventricular dilation and reduced ejection fraction leading to heart failure. The pathogenesis of SCM remains unclear. Understanding the SCM pathogenesis is essential in the search for effective therapeutic agents for SCM. This study was to investigate the pathophysiology of SCM and explore new therapeutic drugs by bioinformatics. An SCM rat model was established by injection of 10 mg/kg lipopolysaccharide (LPS) for 24 h, and the myocardial tissues were collected for RNA sequencing. The differentially expressed genes (DEGs) between LPS rats and control (Ctrl) with the thresholds of |log2

Indexed as

CardiomyopathiesMicroRNAsAnimalsComputational BiologyGene Expression ProfilingLipopolysaccharidesRatsTranscriptomeLipopolysaccharidesMicroRNAs

Identifiers

PMID37996554
PMCPMC10667505
OpenAlexW4388946582

What OpenQuestion holds

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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.