Evidence map›Paper›PMID 25133163›Full record

ArticleBioMed research international2014

Identification of modules related to programmed cell death in CHD based on EHEN.

Xu Jia, Wan Li, Zhengqiang Miao, Chenchen Feng, Zhe Liu, Yuehan He, Junjie Lv, Youwen Du, Min Hou, Weiming He and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Xu JiaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150000, China.
Wan LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150000, China.ORCID 0000-0003-0309-6493
Zhengqiang MiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150000, China.
Chenchen FengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150000, China.
Zhe LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150000, China.
Yuehan HeCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150000, China.
Junjie LvCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150000, China.
Youwen DuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150000, China.
Min HouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150000, China.
Weiming HeInstitute of Opto-Electronics, Harbin Institute of Technology, Harbin, Heilongjiang 150000, China.
Danbin LiSurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150000, China.
Lina ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150000, China.ORCID 0000-0002-4576-6814

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The formation and death of macrophages and foam cells are one of the major factors that cause coronary heart disease (CHD). In our study, based on the Edinburgh Human Metabolic Network (EHMN) metabolic network, we built an enzyme network which was constructed by enzymes (nodes) and reactions (edges) called the Edinburgh Human Enzyme Network (EHEN). By integrating the subcellular location information for the reactions and refining the protein-reaction relationships based on the location information, we proposed a computational approach to select modules related to programmed cell death. The identified module was in the EHEN-mitochondria (EHEN-M) and was confirmed to be related to programmed cell death, CHD pathogenesis, and lipid metabolism in the literature. We expected this method could analyze CHD better and more comprehensively from the point of programmed cell death in subnetworks.

Indexed as

ApoptosisMetabolic Networks and PathwaysCoronary DiseaseGenes, ReporterHumansMolecular Sequence AnnotationScotland

Identifiers

PMID25133163
PMCPMC4123579

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.