Evidence map›Paper›PMID 26524729›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2015

Systematic Tracking of Disrupted Modules Identifies Altered Pathways Associated with Congenital Heart Defects in Down Syndrome.

Denghong Chen, Zhenhua Zhang, Yuxiu Meng

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2015. 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, top 87% 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

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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, 3 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

3 authors at 1 institution in 1 country.

Denghong ChenDepartment of Obstetrics, Jining No. 1 People's Hospital, Jining, Shandong, China (mainland).
Zhenhua ZhangDepartment of Children's Health Prevention, Jining No. 1 People's Hospital, Jining, Shandong, China (mainland).
Yuxiu MengDepartment of Neonatology, Jining No. 1 People's Hospital, Jining, Shandong, China (mainland).
Jining First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis work aimed to identify altered pathways in congenital heart defects (CHD) in Down syndrome (DS) by systematically tracking the dysregulated modules of reweighted protein-protein interaction (PPI) networks. MATERIAL AND

methodsWe performed systematic identification and comparison of modules across normal and disease conditions by integrating PPI and gene-expression data. Based on Pearson correlation coefficient (PCC), normal and disease PPI networks were inferred and reweighted. Then, modules in the PPI network were explored by clique-merging algorithm; altered modules were identified via maximum weight bipartite matching and ranked in non-increasing order. Finally, pathways enrichment analysis of genes in altered modules was carried out based on Database for Annotation, Visualization, and Integrated Discovery (DAVID) to study the biological pathways in CHD in DS.

resultsOur analyses revealed that 348 altered modules were identified by comparing modules in normal and disease PPI networks. Pathway functional enrichment analysis of disrupted module genes showed that the 4 most significantly altered pathways were: ECM-receptor interaction, purine metabolism, focal adhesion, and dilated cardiomyopathy.

conclusionsWe successfully identified 4 altered pathways and we predicted that these pathways would be good indicators for CHD in DS.

Indexed as

Gene Expression RegulationAlgorithmsCardiomyopathy, DilatedCell AdhesionComputational BiologyDatabases, FactualDown SyndromeExtracellular MatrixGene Expression ProfilingGenome, HumanHeart Defects, CongenitalHumansModels, StatisticalOligonucleotide Array Sequence AnalysisProtein Interaction MappingPurinesPurines

Identifiers

PMID26524729
PMCPMC4635630
OpenAlexW2224372639

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.