Evidence map›Paper›PMID 39742022›Full record

ArticleCardiovascular therapeutics2024

Identification of Endoplasmic Reticulum Stress-Related Biomarkers in Coronary Artery Disease.

Yuanyuan Lin, Lin Ni, Luqun Yang, Hao Li, Zelin Chen, Yuping Gao, Kaiyi Zhu, Yanni Jia, Zhifang Wu, Sijin Li

Abstract read
In one paragraph

Article in Cardiovascular therapeutics, 2024. 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuanyuan LinDepartment of Nuclear Medicine First Hospital of Shanxi Medical University Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Lin NiShanxi Bethune Hospital Shanxi Academy of Medical Sciences Tongji Shanxi Hospital Third Hospital of Shanxi Medical University, Taiyuan 030032, China.
Luqun YangShanxi Bethune Hospital Shanxi Academy of Medical Sciences Tongji Shanxi Hospital Third Hospital of Shanxi Medical University, Taiyuan 030032, China.
Hao LiShanxi Bethune Hospital Shanxi Academy of Medical Sciences Tongji Shanxi Hospital Third Hospital of Shanxi Medical University, Taiyuan 030032, China.
Zelin ChenShanxi Bethune Hospital Shanxi Academy of Medical Sciences Tongji Shanxi Hospital Third Hospital of Shanxi Medical University, Taiyuan 030032, China.
Yuping GaoShanxi Bethune Hospital Shanxi Academy of Medical Sciences Tongji Shanxi Hospital Third Hospital of Shanxi Medical University, Taiyuan 030032, China.
Kaiyi ZhuShanxi Bethune Hospital Shanxi Academy of Medical Sciences Tongji Shanxi Hospital Third Hospital of Shanxi Medical University, Taiyuan 030032, China.ORCID https://orcid.org/0000-0002-0727-6996
Yanni JiaDepartment of Nuclear Medicine First Hospital of Shanxi Medical University Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Zhifang WuDepartment of Nuclear Medicine First Hospital of Shanxi Medical University Shanxi Medical University, Taiyuan, Shanxi 030001, China.ORCID https://orcid.org/0000-0003-0376-982X
Sijin LiDepartment of Nuclear Medicine First Hospital of Shanxi Medical University Shanxi Medical University, Taiyuan, Shanxi 030001, China.ORCID https://orcid.org/0000-0002-2010-3459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease (CAD) is caused by atherosclerotic lesions in the coronary vessels. Endoplasmic reticulum stress (ERS) acts in cardiovascular disease, and its role in CAD is not clear. A total of 13 differentially expressed ERS-related genes (DEERSRGs) in CAD were identified. Functional enrichment analysis demonstrated the DEERSRGs were mainly enriched in endoplasmic reticulum (ER)-related pathways. Then, eight genes (RCN2, HRC, DERL2, RNF183, CRH, TMED2, PPP1R15A, and IL1A) were authenticated as ERS-related biomarkers in CAD by least absolute shrinkage and selection operator (LASSO). The receiver operating characteristic (ROC) analysis showed that the LASSO logistic model constructed based on biomarkers had a better diagnostic effect, which was confirmed by the ANN and GSE23561 datasets. Also, ROC results showed that seven of the eight biomarkers had better diagnostic effects. The nomogram model had good predictive power, and biomarkers were mostly enriched in pathways associated with CAD. The biomarkers were significantly associated with 10 immune cells, and RCN2, DERL2, TMED2, and RNF183 were negatively correlated with most chemokines. Eight biomarkers had significant correlations with both immunoinhibitors and immunostimulators. In addition, eight biomarkers were significantly different in both CAD and control samples, CRH and HRC were upregulated in CAD. The quantitative reverse transcription-polymerase chain reaction (qRT-PCR) showed that RCN2, HRC, DERL2, CRH, and IL1A were consistent with the bioinformatics analysis. RCN2, HRC, DERL2, RNF183, CRH, TMED2, PPP1R15A, and IL1A were identified as biomarkers of CAD. Functional enrichment analysis and immunoassays for biomarkers provide new ideas for the treatment of CAD.

Indexed as

Coronary Artery DiseaseEndoplasmic Reticulum StressPredictive Value of TestsBiomarkersCase-Control StudiesDatabases, GeneticFemaleGene Expression ProfilingGene Regulatory NetworksGenetic MarkersHumansMaleMiddle AgedTranscriptomeBiomarkersGenetic Markers

Identifiers

PMID39742022
PMCPMC11236471

What Socratic holds

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LicenceCC BY
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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 Socratic graph.