Evidence map›Paper›PMID 28296904›Full record

ArticlePloS one2017

Differentially expressed miRNAs in sepsis-induced acute kidney injury target oxidative stress and mitochondrial dysfunction pathways.

Qin-Min Ge, Chun-Mei Huang, Xiang-Yang Zhu, Fan Bian, Shu-Ming Pan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 2 pooled it
7.4field-weighted citation impact, top 2% 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

83 citing papers in PubMed, 2 syntheses or guidelines pooled it, 126 citations in OpenAlex.

  1. Pooled it
  2. Expression of microRNA-99a-3p in Prostate Cancer Based on Bioinformatics Data and Meta-Analysis of a Literature Review of 965 Cases.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Pooled it
  3. Article
  4. Article
  5. Review
  6. Molecular Mechanisms of Sepsis-Associated Acute Kidney Injury.Journal of the American Society of Nephrology : JASN · 2025
    Review
  7. Identification of miRNA Biomarkers Associated With Staphylococcal Musculoskeletal Infections.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025
    Article
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23 more citing papers are in PubMed but not listed here.

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 2 institutions in 2 countries.

Qin-Min GeDepartment of Emergency, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Chun-Mei HuangDepartment of Emergency, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiang-Yang ZhuDivision of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic College of Medicine, Rochester, MN, United States of America.
Fan BianDepartment of Nephrology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Shu-Ming PanDepartment of Emergency, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
XinHua Hospital · CNMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify specific miRNAs involved in sepsis-induced AKI and to explore their targeting pathways.

methodsThe expression profiles of miRNAs in serum from patients with sepsis-induced AKI (n = 6), sepsis-non AKI (n = 6), and healthy volunteers (n = 3) were investigated by microarray assay and validated by quantitative PCR (qPCR). The targets of the differentially expressed miRNAs were predicted by Target Scan, mirbase and Miranda. Then the significant functions and involvement in signaling pathways of gene ontology (GO) and KEGG pathways were analyzed. Furthermore, eight miRNAs were randomly selected out of the differentially expressed miRNAs for further testing by qPCR.

resultsqPCR analysis confirmed that the expressions levels of hsa-miR-23a-3p, hsa-miR-4456, hsa-miR-142-5p, hsa-miR-22-3p and hsa-miR-191-5p were significantly lower in patients with sepsis compared with the healthy volunteers, while hsa-miR-4270, hsa-miR-4321, hsa-miR-3165 were higher in the sepsis patients. Statistically, miR-4321; miR-4270 were significantly upregulated in the sepsis-induced AKI compared with sepsis-non AKI, while only miR-4321 significantly overexpressed in the sepsis groups compared with control groups. GO analysis showed that biological processes regulated by the predicted target genes included diverse terms. They were related to kidney development, regulation of nitrogen compound metabolic process, regulation of cellular metabolic process, cellular response to oxidative stress, mitochondrial outer membrane permeabilization, etc. Pathway analysis showed that several significant pathways of the predicted target genes related to oxidative stress. miR-4321 was involved in regulating AKT1, mTOR and NOX5 expression while miR-4270 was involved in regulating PPARGC1A, AKT3, NOX5, PIK3C3, WNT1 expression. Function and pathway analysis highlighted the possible involvement of miRNA-deregulated mRNAs in oxidative stress and mitochondrial dysfunction.

conclusionThis study might help to improve understanding of the relationship between serum miRNAs and sepsis-induced AKI, and laid an important foundation for further identification of the potential mechanisms of sepsis-induced AKI and oxidative stress and mitochondrial dysfunction.

Indexed as

Acute Kidney InjuryAgedCytokinesFemaleHumansMaleMicroRNAsMiddle AgedMitochondriaOligonucleotide Array Sequence AnalysisOxidative StressReal-Time Polymerase Chain ReactionSepsisCytokinesMicroRNAs

Identifiers

PMID28296904
PMCPMC5351858
OpenAlexW2598907887

What OpenQuestion holds

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LicenceCC BY
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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.