Evidence map›Paper›PMID 33536775›Full record

ArticleInternational journal of general medicine2021

Identification of Genes with Altered Methylation and Its Role in Early Diagnosis of Sepsis-Induced Acute Respiratory Distress Syndrome.

Jihua Feng, Jielong Pang, Dan He, Zimeng Wu, Qian Li, Pan Ji, Cuiying He, Zhimei Zhong, Hongyuan Li, Jianfeng Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. 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
1.6field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

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  5. Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024
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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

10 authors at 1 institution in 1 country.

Jihua Feng *Department of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, People's Republic of China.
Jielong Pang *Department of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, People's Republic of China.
Dan He *Department of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, People's Republic of China.
Zimeng WuDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, People's Republic of China.
Qian LiDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, People's Republic of China.
Pan JiDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, People's Republic of China.
Cuiying HeDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, People's Republic of China.
Zhimei ZhongDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, People's Republic of China.
Hongyuan LiDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, People's Republic of China.
Jianfeng ZhangDepartment of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, People's Republic of China.ORCID 0000-0003-4213-9310
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEarly diagnosis of sepsis-induced acute respiratory distress syndrome (ARDS) is critical for effective treatment. We aimed to identify early stage biomarkers. MATERIALS AND

methodsDifferentially expressed genes were identified in whole blood samples from patients with sepsis or ARDS based on the Gene Expression Omnibus (GEO) datasets GSE32707, GSE54514 and GSE10361. Functional enrichment analysis explored the biological characteristics of differentially expressed genes. Genes with high functional connectivity based on a protein-protein interaction network were marked as hub genes, which were validated using the GEO dataset GSE76293, and a gene set variation analysis index (GSVA) was assigned. Diagnostic and predictive ability of the hub genes were assessed by receiver operating characteristic (ROC) curve analysis. DNA methylation levels of hub genes were quantified using the GEO dataset GSE67530.

resultsForty-one differentially expressed genes were shared between sepsis-specific and ARDS-specific datasets. MAP2K2 and IRF7 functional activity was highly connected in sepsis-induced ARDS. Hub genes included RETN, MVP, DEFA4, CTSG, AZU1, FMNL1, RBBP7, POLD4, RIN3, IRF7. ROC curve analysis of the hub gene GSVA index showed good diagnostic ability in sepsis or ARDS. Among genes related to sepsis-induced ARDS, 17 were differentially methylated. Principal component analysis and heatmaps indicated that gene methylation patterns differed significantly between ARDS patients and controls.

conclusionWe identified a genetic profile specific to early-stage sepsis-induced ARDS. The abnormal expression of these genes may be caused by hypomethylation, which may serve as a biomarker for early diagnosis of ARDS.

Indexed as

acute respiratory distress syndromeARDSgene set variation analysishub genesmethylationsepsis-induced ARDS

Identifiers

PMID33536775
PMCPMC7847772
OpenAlexW3123531243

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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.