Evidence map›Paper›PMID 37854219›Full record

ArticleAmerican journal of translational research2023

Identification of lncRNA-miRNA-mRNA ceRNA network as biomarkers for acute kidney injury.

Chengxiao Hu, Jianfei Li

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 3 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

2 authors at 1 institution in 1 country.

Chengxiao HuDepartment of Nephrology, Liuzhou People's Hospital Liuzhou, Guangxi, China.
Jianfei LiDepartment of Nephrology, Liuzhou People's Hospital Liuzhou, Guangxi, China.
Liuzhou General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAcute kidney injury (AKI) is a global problem due to its high morbidity and mortality. The aim of this study was to identify the key RNAs involved in the ischemia/reperfusion (I/R) or cisplatin (CIS) induced AKI.

methodsGene Expression Omnibus database was used to download the microarray dataset GSE106993, GSE130814 and GSE98622. Differentially expressed lncRNAs (DE-lncRNAs) and DE-mRNAs were identified in I/R and CIS induced AKI. The target miRNAs of DE lncRNAs were predicted from miRDB, and the miRNA of lncRNA target mRNAs were predicted form StarBase dataset. The ceRNA regulatory networks, GO and KEGG enrichment analysis, and protein-protein interaction (PPI) of I/R and CIS induced AKI specific genes were constructed. The CIBESORT was applied to infer the proportion of 22 immune infiltration cells based on gene expression profiles of I/R and CIS induced AKI.

resultsTotally, 2 DE-lncRNAs and 375 DE-mRNAs were identified in I/R and CIS induced AKI. The common ceRNA network was constructed between CIS group and I/R induced AKI group, which contained 2 lncRNAs (Platr7 and Gm15611), 65 mmu-miRNAs and 167 mRNAs. The 167 common mRNAs were enriched in the biological process of transcription regulation, metabolic process, cell proliferation, the cellular component (CC) of extracellular region and space, the molecular function of DNA binding, and transcription regulator activity in CIS and IRI induced AKI. The common 167 mRNAs involved in the MAPK signaling pathway and JAK-STAT signaling pathway were identified. Protein-Protein Interaction (PPI) Network of ceRNAs network expressed gene was constructed, including 81 nodes, which contained 3 upregulated genes and 78 downregulated genes. Among them, mitochondrial apoptosis-related genes Pmaip1 and Nptx1 showed significantly high expression in the GSE98622 and GSE106993 data sets. The investigation to the connection between the gene expression profiles and immune cell infiltration showed considerable differences in immune cell percentage between AKI group and normal group.

conclusionNovel lncRNAs and mRNAs were identified, which may serve as potential biomarkers to predict the diagnostic and therapeutic targets for AKI patients based on a large-scale sample. More importantly, the ceRNA network of I/R or CIS induced AKI was constructed, which provides valuable information to further explore the molecular mechanism underlying onset and progression of AKI.

Indexed as

ceRNAsimmune infiltrationLncRNAsmiRNAsmitochondrial apoptosismRNAs

Identifiers

PMID37854219
PMCPMC10579013
OpenAlexW4387764705

What OpenQuestion holds

Textmetadata
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.