Evidence map›Paper›PMID 32685266›Full record

ArticleAmerican journal of cardiovascular disease2020

Comparative study of gene expression profiles rooted in acute myocardial infarction and ischemic/reperfusion rat models.

Jian-Fei Wang, Yan Huang, Sheng-Feng Lu, Hao Hong, Shun-Juan Xu, Jin-Song Xie, Zhou-Ye Wu, Yi Tang, Hou-Xi Xu, Shu-Ping Fu and 2 more

Open access · greenAbstract read
In one paragraph

Article in American journal of cardiovascular disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 5 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

12 authors at 3 institutions in 1 country.

Jian-Fei WangThe First Clinical College, Nanjing University of Chinese Medicine Nanjing 210023, P. R. China.
Yan HuangThe Key Laboratory of Acupuncture and Medicine Research of Ministry of Education, Nanjing University of Chinese Medicine Nanjing 210023, P. R. China.
Sheng-Feng LuThe Key Laboratory of Acupuncture and Medicine Research of Ministry of Education, Nanjing University of Chinese Medicine Nanjing 210023, P. R. China.
Hao HongRegenerative Medicine Research Center, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Shun-Juan XuThe First Clinical College, Nanjing University of Chinese Medicine Nanjing 210023, P. R. China.
Jin-Song XieThe First Clinical College, Nanjing University of Chinese Medicine Nanjing 210023, P. R. China.
Zhou-Ye WuThe First Clinical College, Nanjing University of Chinese Medicine Nanjing 210023, P. R. China.
Yi TangCardiology Department, Jinling Hospital Nanjing 210002, Jiangsu, P. R. China.
Hou-Xi XuThe Key Laboratory of Acupuncture and Medicine Research of Ministry of Education, Nanjing University of Chinese Medicine Nanjing 210023, P. R. China.
Shu-Ping FuThe Key Laboratory of Acupuncture and Medicine Research of Ministry of Education, Nanjing University of Chinese Medicine Nanjing 210023, P. R. China.
Zhao-Qing XiThe First Clinical College, Nanjing University of Chinese Medicine Nanjing 210023, P. R. China.
Bing-Mei ZhuThe Key Laboratory of Acupuncture and Medicine Research of Ministry of Education, Nanjing University of Chinese Medicine Nanjing 210023, P. R. China.
Nanjing University of Chinese Medicine · CNJinling Institute of Technology · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mining data in depth of genome-wide sequencing data generated from pathological target tissues under disease conditions is necessary for seeking novel functional genes, and developing more biological study directions for the field. Based on our previous published RNA-seq data generated from acute myocardial ischemia and ischemia-reperfusion in rat heart, we re-analysed these two data sets using bioinformatics tools. All these raw fastq files were extracted from Illumina BCL using the Illumina CASAVA program. Four groups were obtained: UD (genes up-regulated in MI but down-regulated in I/R injury), DU (genes down-regulated in MI but up-regulated in I/R injury), UU (genes both up-regulated in MI and I/R injury), and DD (genes both down-regulated in MI and I/R injury) groups. The results showed that 304 common genes in the UD group, 236 common genes in the DU group, 318 common genes in the UU group, and 159 common genes in the DD group detected by comparing data sets of the MI and the I/R injury. We then listed the top 30 DEGs for each group, and carried out GO and KEGG analyses for enrichment and pathway studies for those top expressed genes. Further analysis of INTERPRO Protein Domains and Features enriched by DEGs showed that 20% of the Domains enriched were related to c-type lectin, and 17% of these domains are related to neurotransmitter-gated ion-channel. 15% of PFAM Protein Domains were about Neurotransmitter-gated ion-channel. There were only 8 SMART Protein Domains DEGs enriched and 37.5% of which were concerned about leucine-rich. Collagen involvement in Reactome Pathways accounted for 22.7%. We found that only a few DEGs in these two disease conditions have been reported in the literatures, suggesting that there are many new genes would be considered in the future studies. These analyses would provide some information for seeking more novel targets of these two clinic diseases, acute myocardial ischemia and myocardial ischemia/reperfusion.

Indexed as

bioinformaticsComparative studygene expression profilesmyocardial infarctionmyocardial ischemia-reperfusion

Identifiers

PMID32685266
PMCPMC7364282
OpenAlexW3044950199

What OpenQuestion holds

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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.