Evidence map›Paper›PMID 36437453›Full record

ArticleBMC medical genomics2022

Identification of immune-related biomarkers and construction of regulatory network in patients with atherosclerosis.

Ruoyu Dong, Guangwei Jiang, Yunjie Tian, Xiaoming Shi

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. When ISG15 is involved in inflammation.Frontiers in immunology · 2026
    Review
  2. Article
  3. Article
  4. Development of a Novel 11-Gene Signature Related to Immune Subtypes for FibromyalgiaEndocrine, metabolic & immune disorders drug targets · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. HIV Infection Drives Foam Cell Formation via NLRP3 Inflammasome Activation.International journal of molecular sciences · 2024
    Article
  9. Article
  10. Review
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 at 1 institution in 1 country.

Ruoyu DongDepartment of Vascular Surgery, Hebei Provincial People's Hospital, Shijiazhuang, 050000, China.
Guangwei JiangDepartment of Vascular Surgery, Hebei Provincial People's Hospital, Shijiazhuang, 050000, China.
Yunjie TianThe Fourth Hospital of Hebei Medical University Gynecology, Shijiazhuang, 050000, China.
Xiaoming ShiDepartment of Vascular Surgery, Hebei Provincial People's Hospital, Shijiazhuang, 050000, China. shixm2021@outlook.com.
Fourth Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore and more evidence has established the crucial roles of the innate and adaptive immune systems in driving atherosclerosis-associated chronic inflammation in arterial blood vessels. Thus, the goal of this research was to determine immune-related biomarkers in atherosclerosis.

methodsIn this study, we conducted analysis on the mRNA expression profile of atherosclerosis obtained from Gene Expression Omnibus. Differentially expressed genes (DEGs) between atherosclerosis and control samples and immune-related genes (IRGs) were intersected to obtain differentially expressed immune-related genes (DEIRGs). The protein-protein interaction (PPI) network was created by STRING database and hub genes were identified by the MCODE plug-in. Furthermore, the receiver operating characteristic (ROC) curve was executed to verify the diagnostic value of the hub genes, and microRNA (miRNA)-gene-transcription factor (TF) regulatory networks were used to explain the regulatory mechanism of hub genes in atherosclerosis. Finally, qRT-PCR was performed to identify the mRNA levels of the target genes.

resultsA total of 199 overlapping genes were screened out as DEIRGs by intersecting the DEGs and IRGs. Then, 6 hub genes with high diagnostic value (IFIH1, IFIT1, IFIT2, IFIT3, ISG15 and OAS3) were identified via PPI network and ROC curve. Finally, miRNA-gene-TF networks revealed the regulatory mechanism of diagnostic genes.We used the carotid artery of AS patients and normal human carotid artery plaque samples for qRT-PCR verification, and the results showed that the hub gene had the same trend.

conclusionOur study identified IFIH1, IFIT1, IFIT2, IFIT3, ISG15 and OAS3 as immune-related hub genes of atherosclerosis. These genes may serve as potential therapeutic targets for atherosclerosis patients.

Indexed as

AtherosclerosisMicroRNAsBiomarkersHumansInterferon-Induced Helicase, IFIH1RNA, MessengerTranscription FactorsBiomarkersInterferon-Induced Helicase, IFIH1MicroRNAsRNA, MessengerTranscription FactorsAtherosclerosisDifferentially expressed genesEnrichment analysisImmuneRNA-Seq

Identifiers

PMID36437453
PMCPMC9703734
OpenAlexW4310266285

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.