Evidence map›Paper›PMID 30021655›Full record

ArticleLipids in health and disease2018

Peripheral-blood gene expression profiling studies for coronary artery disease and its severity in Xinjiang population in China.

Meng Liu, Shubin Jiang, Yu Ma, Jun Ma, Waseem Hassan, Jing Shang

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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  3. Evaluation ofMedical journal of the Islamic Republic of Iran · 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

6 authors at 5 institutions in 2 countries.

Meng LiuCancer Prevention and Research Institute, The affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.
Shubin JiangDepartment of Coronary Care Unit, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi, 830000, Xinjiang, China.
Yu MaDepartment of Clinical Laboratory, The Fourth People' Hospital of Urumqi, Urumqi, 830002, Xinjiang, China.
Jun MaDepartment of Coronary Care Unit, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi, 830000, Xinjiang, China.
Waseem HassanDepartment of Pharmacy, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan.
Jing ShangState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, 210009, Jiangsu, China. shangjing21cn@163.com.
Xinjiang Medical University · CNChina Pharmaceutical University · CNCOMSATS University Islamabad · PKTumor Hospital of Xinjiang Medical University · CNUrumqi 4th People's Hospital · CN

Funding

One Hundred Person Project of The Chinese Academy of Sciences, Applied Basic Research Programs of Qinghai Province 2015-ZJ-733Prospective joint research project of Jiangsu Province BY2016078-02Science and Technology Plan Projects in Xinjiang 2014AB043State Key Laboratory of Molecular Oncology, Cancer Hospital SKL-KF-2017-04
6 · The paper itself

Abstract

backgroundAlterations in gene expression in peripheral blood cells play a curtail role in the presence and extent of coronary artery disease (CAD), but its severity reflected by gene expression alterations in peripheral blood cells is still unknown in Xinjiang population in China.

methodsGlobal gene expression profiling in peripheral blood was used to explore differentially expressed genes in coronary artery stenosis patients. RNA was extracted from peripheral blood of 9 controls without coronary stenosis and 21 cases with angiographically CAD. The extent of CAD severity was categorized angiographically as no CAD, mild CAD (20 to 50% luminal diameter stenosis [LDS]), moderate CAD (50 to 75% LDS) and severe CAD (≥75% LDS). Differentially expressed genes related with CAD severity from peripheral blood cells were screened by linear mixed effects analysis using the lme4 package in R. Then the differentially expressed genes that gradually up-regulated or down-regulated were enriched by Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis.

resultsThe most significantly enrichments were toll-like receptor signaling pathway, immune responses, translational processes, cellular growth, inflammation and metabolic processes. Combined with NCBI-GeneRIF and PubMed analysis, we focused on the 12 genes associated with toll-like receptor signaling pathway in the extent of coronary artery stenosis patients. Receiver operating characteristic (ROC) analysis of 12 genes associated with toll-receptor signaling pathway in the 236 CAD patients from GEO database demonstrated that 12 genes expression could predict severe CAD with an area under the curve of 0.67, sensitivity of 77.65% and specificity of 51.52%.

conclusionThese results suggest that 12 genes associated with toll-like receptor signaling pathway in peripheral-blood cells reflect the presence and extent of CAD severity in Xinjiang population in China.

Indexed as

AdultBiomarkersCase-Control StudiesChinaCoronary AngiographyCoronary Artery DiseaseCoronary StenosisFemaleGene Expression ProfilingGene Expression RegulationGene OntologyHumansInterleukin-1 Receptor-Associated KinasesLeukocytes, MononuclearLipidsMaleBiomarkersInterleukin-1 Receptor-Associated KinasesLipidsMitogen-Activated Protein KinasesReceptors, Interleukin-1Toll-Like ReceptorsCoronary artery diseaseCoronary stenosisGenetic variationMicroarray analysisToll-like receptor signaling pathway

Identifiers

PMID30021655
PMCPMC6052538
OpenAlexW2883593190

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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.