Evidence mapPaperPMID 36064568Full record

ArticleJournal of translational medicine2022

Identification of diagnostic biomarkers and therapeutic targets in peripheral immune landscape from coronary artery disease.

Xiaoteng Feng, Yifan Zhang, Min Du, Sijin Li, Jie Ding, Jiarou Wang, Yiru Wang, Ping Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.6field-weighted citation impact, top 3% 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, 60 citations in OpenAlex.

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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.

Xiaoteng FengDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yifan ZhangDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Min DuDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Sijin LiDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jie DingDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jiarou WangDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yiru WangDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Ping LiuDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China. liuping0207@yeah.net.ORCID 0000-0003-4694-1984
Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeripheral biomarkers are increasingly vital non-invasive methods for monitoring coronary artery disease (CAD) progression. Their superiority in early detection, prognosis evaluation and classified diagnosis is becoming irreplaceable. Nevertheless, they are still less explored. This study aimed to determine and validate the diagnostic and therapeutic values of differentially expressed immune-related genes (DE-IRGs) in CAD.

methodsWe downloaded clinical information and RNA sequence data from the GEO database. We used R software, GO, KEGG and Cytoscape to analyze and visualize the data. A LASSO method was conducted to identify key genes for diagnostic model construction. The ssGSEA analysis was used to investigate the differential immune cell infiltration. Besides, we constructed CAD mouse model (low-density lipoprotein receptor deficient mice with high fat diet) to discover the correlation between the screened genes and severe CAD progress. We further uncovered the role of IL13RA1 might play in atherosclerosis.

resultsA total of 762 differential genes were identified between the peripheral blood of 218 controls and 199 CAD patients, which were significantly associated with infection, immune response and neural activity. 58 DE-IRGs were obtained by overlapping the differentially expressed genes(DEGs) and immune-related genes downloaded from ImmpDb database. Through LASSO regression, CCR9, CER1, CSF2, IL13RA1, INSL5, MBL2, MMP9, MSR1, NTS, TNFRSF19, CXCL2, HTR3C, IL1A, and NR4A2 were distinguished as peripheral biomarkers of CAD with eligible diagnostic capabilities in the training set (AUC = 0.968) and test set (AUC = 0.859). The ssGSEA analysis showed that the peripheral immune cells had characteristic distribution in CAD and also close relationship with specific DE-IRGs. RT-qPCR test showed that CCR9, CSF2, IL13RA1, and NTS had a significant correlation with LDLR

conclusionsWe constructed a diagnostic model of advanced-stage CAD based on the screened 14 DE-IRGs. We verified 4 genes of them to have a strong correlation with CAD, and IL13RA1 might participate in the inflammation, fibrosis, and cholesterol efflux process of atherosclerosis by regulating JAK1/STAT3 pathway.

Indexed as

AtherosclerosisCoronary Artery DiseaseAnimalsBiomarkersGene Expression ProfilingMiceSignal TransductionBiomarkersCoronary atherosclerotic diseaseImmune cellsImmune-related genesInflammationPeripheral blood

Identifiers

PMID36064568
PMCPMC9444127
OpenAlexW4294677011

What Socratic 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 Socratic graph.