Evidence map›Paper›PMID 24809055›Full record

ArticleBioMed research international2014

Identification of microRNA as sepsis biomarker based on miRNAs regulatory network analysis.

Jie Huang, Zhandong Sun, Wenying Yan, Yujie Zhu, Yuxin Lin, Jiajai Chen, Bairong Shen, Jian Wang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Role of miRNA dysregulation in sepsis.Molecular medicine (Cambridge, Mass.) · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. MicroRNAs: An Update of Applications in Forensic Science.Diagnostics (Basel, Switzerland) · 2020
    Review
  15. Article
  16. Review
  17. Article
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  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

8 authors at 1 institution in 1 country.

Jie HuangSystems Sepsis Biology Team, Soochow University Affiliated Children's Hospital, Suzhou 215003, China.
Zhandong SunSystems Sepsis Biology Team, Soochow University Affiliated Children's Hospital, Suzhou 215003, China ; Center for Systems Biology, Soochow University, Suzhou 215006, China.
Wenying YanCenter for Systems Biology, Soochow University, Suzhou 215006, China ; Suzhou Zhengxing Translational Biomedical Informatics Ltd., Taicang 215400, China ; Taicang Center for Translational Bioinformatics, Taicang 215400, China.
Yujie ZhuCenter for Systems Biology, Soochow University, Suzhou 215006, China.
Yuxin LinCenter for Systems Biology, Soochow University, Suzhou 215006, China.
Jiajai ChenCenter for Systems Biology, Soochow University, Suzhou 215006, China ; Taicang Center for Translational Bioinformatics, Taicang 215400, China.
Bairong ShenCenter for Systems Biology, Soochow University, Suzhou 215006, China.
Jian WangSystems Sepsis Biology Team, Soochow University Affiliated Children's Hospital, Suzhou 215003, China.ORCID 0000-0002-9214-3302
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is regarded as arising from an unusual systemic response to infection but the physiopathology of sepsis remains elusive. At present, sepsis is still a fatal condition with delayed diagnosis and a poor outcome. Many biomarkers have been reported in clinical application for patients with sepsis, and claimed to improve the diagnosis and treatment. Because of the difficulty in the interpreting of clinical features of sepsis, some biomarkers do not show high sensitivity and specificity. MicroRNAs (miRNAs) are small noncoding RNAs which pair the sites in mRNAs to regulate gene expression in eukaryotes. They play a key role in inflammatory response, and have been validated to be potential sepsis biomarker recently. In the present work, we apply a miRNA regulatory network based method to identify novel microRNA biomarkers associated with the early diagnosis of sepsis. By analyzing the miRNA expression profiles and the miRNA regulatory network, we obtained novel miRNAs associated with sepsis. Pathways analysis, disease ontology analysis, and protein-protein interaction network (PIN) analysis, as well as ROC curve, were exploited to testify the reliability of the predicted miRNAs. We finally identified 8 novel miRNAs which have the potential to be sepsis biomarkers.

Indexed as

Gene Regulatory NetworksBiomarkersGene OntologyHumansMicroRNAsProtein Interaction MapsROC CurveSepsisSignal TransductionBiomarkersMicroRNAs

Identifiers

PMID24809055
PMCPMC3997997
OpenAlexW2130884900

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.