Evidence map›Paper›PMID 26742467›Full record

ArticleScientific reports2016

Identification of novel genes and pathways in carotid atheroma using integrated bioinformatic methods.

Wenqing Nai, Diane Threapleton, Jingbo Lu, Kewei Zhang, Hongyuan Wu, You Fu, Yuanyuan Wang, Zejin Ou, Lanlan Shan, Yan Ding and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 2 countries.

Wenqing NaiDepartment of Health Management, Southern Medical University, Guangzhou 510515, Guangdong, China.
Diane ThreapletonDivision of Epidemiology, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong.
Jingbo LuDepartment of Vascular Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, China.
Kewei ZhangDepartment of Vascular Surgery, People's hospital of Henan province, Zhengzhou university, Zhengzhou 450003, Henan, China.
Hongyuan WuDepartment of Health Management, Southern Medical University, Guangzhou 510515, Guangdong, China.
You FuDepartment of Health Management, Southern Medical University, Guangzhou 510515, Guangdong, China.
Yuanyuan WangDepartment of Health Management, Southern Medical University, Guangzhou 510515, Guangdong, China.
Zejin OuDepartment of Health Management, Southern Medical University, Guangzhou 510515, Guangdong, China.
Lanlan ShanDepartment of Health Management, Southern Medical University, Guangzhou 510515, Guangdong, China.
Yan DingDepartment of Health Management, Southern Medical University, Guangzhou 510515, Guangdong, China.
Yanlin YuLaboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health, 37 Convent Drive, Bethesda, MD 20892, USA.
Meng DaiDepartment of Health Management, Southern Medical University, Guangzhou 510515, Guangdong, China.
Nanfang Hospital · CNSouthern Medical University · CNChinese University of Hong Kong · CNNational Cancer Institute · USZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerosis is the primary cause of cardiovascular events and its molecular mechanism urgently needs to be clarified. In our study, atheromatous plaques (ATH) and macroscopically intact tissue (MIT) sampled from 32 patients were compared and an integrated series of bioinformatic microarray analyses were used to identify altered genes and pathways. Our work showed 816 genes were differentially expressed between ATH and MIT, including 443 that were up-regulated and 373 that were down-regulated in ATH tissues. GO functional-enrichment analysis for differentially expressed genes (DEGs) indicated that genes related to the "immune response" and "muscle contraction" were altered in ATHs. KEGG pathway-enrichment analysis showed that up-regulated DEGs were significantly enriched in the "FcεRI-mediated signaling pathway", while down-regulated genes were significantly enriched in the "transforming growth factor-β signaling pathway". Protein-protein interaction network and module analysis demonstrated that VAV1, SYK, LYN and PTPN6 may play critical roles in the network. Additionally, similar observations were seen in a validation study where SYK, LYN and PTPN6 were markedly elevated in ATH. All in all, identification of these genes and pathways not only provides new insights into the pathogenesis of atherosclerosis, but may also aid in the development of prognostic and therapeutic biomarkers for advanced atheroma.

Indexed as

Gene Regulatory NetworksAgedAged, 80 and overCarotid Artery DiseasesCellular MicroenvironmentComputational BiologyFemaleGene Expression ProfilingGene Expression RegulationGene OntologyHumansMaleMicroarray AnalysisMiddle AgedMolecular Sequence AnnotationOligonucleotide Array Sequence Analysislyn protein-tyrosine kinaseProtein Tyrosine Phosphatase, Non-Receptor Type 6Proto-Oncogene Proteins c-vavPTPN6 protein, humansrc-Family KinasesSyk KinaseSYK protein, humanVAV1 protein, human

Identifiers

PMID26742467
PMCPMC4705461
OpenAlexW2224746840

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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 OpenQuestion graph.