Evidence map›Paper›PMID 36199375›Full record

ArticleJournal of healthcare engineering2022

Screening of Sepsis Biomarkers Based on Bioinformatics Data Analysis.

Guibin Liang, Jiuang Li, Shiqian Pu, Zhihui He

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Prognostic impact ofTherapeutic advances in hematology · 2024
    Article
  11. Frontiers in immunology · 2024
    Article
  12. Article
  13. Article
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

4 authors.

Guibin LiangDepartment of Critical Care Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jiuang LiDepartment of Critical Care Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Shiqian PuDepartment of Critical Care Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhihui HeDepartment of Critical Care Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID 0000-0001-5672-9691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods: Gene expression profiles of GSE13904, GSE26378, GSE26440, GSE65682, and GSE69528 were obtained from the National Center for Biotechnology Information (NCBI). The differentially expressed genes (DEGs) were searched using limma software package. Gene Ontology (GO) functional analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) network analysis were performed to elucidate molecular mechanisms of DEGs and screen hub genes. Results: A total of 108 DEGs were identified in the study, of which 67 were upregulated and 41 were downregulated. 15 superlative diagnostic biomarkers (CCL5, CCR7, CD2, CD27, CD274, CD3D, GNLY, GZMA, GZMH, GZMK, IL2RB, IL7R, ITK, KLRB1, and PRF1) for sepsis were identified by bioinformatics analysis. Conclusion: 15 hub genes (CCL5, CCR7, CD2, CD27, CD274, CD3D, GNLY, GZMA, GZMH, GZMK, IL2RB, IL7R, ITK, KLRB1, and PRF1) have been elucidated in this study, and these biomarkers may be helpful in the diagnosis and therapy of patients with sepsis.

Indexed as

Computational BiologySepsisBiomarkersData AnalysisGene Expression ProfilingGene Regulatory NetworksHumansReceptors, CCR7BiomarkersReceptors, CCR7

Identifiers

PMID36199375
PMCPMC9529510

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.