Evidence map›Paper›PMID 33448176›Full record

ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2020

[Master genes and co-expression network analysis in peripheral blood mononuclear cells of patients with gram-positive and gram-negative sepsis].

Lu Li, Junjun Fang, Zhitao Li, Leixing Shen, Guobin Wang, Shuiqiao Fu

Open access · greenAbstract read
In one paragraph

Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 44% 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.

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2 · The registry

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Lu LiDepartment of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Junjun FangSurgical Intensive Care Unit, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Zhitao LiSurgical Intensive Care Unit, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Leixing ShenSchool of Pharmaceutical Sciences, Zhejiang University City College, Hangzhou 310015, China.
Guobin WangSurgical Intensive Care Unit, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Shuiqiao FuSurgical Intensive Care Unit, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
First Affiliated Hospital Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the functional pathways enriched and differentially expressed genes (DEGs) in peripheral blood mononuclear cells (PBMCs) of patients with gram-positive and gram-negative sepsis.

methodsDataset GSE9960 obtained from NCBI GEO database containing PBMC samples from 16 non-infectious systematic inflammatory response syndrome (SIRS) patients, 17 gram-positive septic patients and 18 gram-negative septic patients were included in the study. Functional pathway annotations were conducted by gene set enrichment analysis and weighted gene co-expression network analysis. DEGs were filtered and master DEGs were then validated in PBMCs of gram-positive septic, gram-negative septic and non-infectious SIRS patients.

resultsThe enriched gene sets in gram-positive sepsis and gram-negative sepsis were significantly different. The results indicated the opposite co-expression networks in SIRS and gram-negative sepsis, and the entirely different co-expression networks in gram-positive and gram-negative sepsis. Furthermore, we validated that

conclusionsThe results indicate that there are differences in the mechanism and pathogenesis of gram-positive and gram-negative sepsis, which may provide potential markers for sepsis diagnosis and empirical antimicrobial therapy.

Indexed as

Gram-Negative Bacterial InfectionsGram-Positive Bacterial InfectionsLeukocytes, MononuclearSepsisBiomarkersGene Expression ProfilingHumansBiomarkersGram-negative bacteriumGram-positive bacteriumPeripheral blood mononuclear cellSepsisSystemic inflammatory response syndrome

Identifiers

PMID33448176
PMCPMC10412950
OpenAlexW3121068048

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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.