Evidence map›Paper›PMID 30871556›Full record

ArticleBMC medical genomics2019

Prioritization of genes involved in endothelial cell apoptosis by their implication in lymphedema using an analysis of associative gene networks with ANDSystem.

Olga V Saik, Vadim V Nimaev, Dilovarkhuja B Usmonov, Pavel S Demenkov, Timofey V Ivanisenko, Inna N Lavrik, Vladimir A Ivanisenko

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 41 citations in OpenAlex.

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  12. Bioinformatics research at SBB-2019.BMC bioinformatics · 2020
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  14. Medical genomics research at BGRS-2018.BMC medical genomics · 2019
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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

7 authors at 4 institutions in 2 countries.

Olga V SaikLaboratory of Computer-Assisted Proteomics, Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia. saik@bionet.nsc.ru.
Vadim V NimaevLaboratory of Surgical Lymphology and Lymphodetoxication, Research Institute of Clinical and Experimental Lymрhology - Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, st. Timakova 2, Novosibirsk, 630117, Russia.
Dilovarkhuja B UsmonovNovosibirsk State University, st. Pirogova 1, Novosibirsk, 630090, Russia.
Pavel S DemenkovLaboratory of Computer-Assisted Proteomics, Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia.
Timofey V IvanisenkoLaboratory of Computer-Assisted Proteomics, Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia.
Inna N LavrikLaboratory of Computer-Assisted Proteomics, Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia.
Vladimir A IvanisenkoLaboratory of Computer-Assisted Proteomics, Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia.
Institute of Cytology and Genetics · RUNovosibirsk Scientific Research Institute of Traumatology and Orthopedics. Ya.L. Tsivyan · RUNovosibirsk State University · RUOtto-von-Guericke University Magdeburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, more than 150 million people worldwide suffer from lymphedema. It is a chronic progressive disease characterized by high-protein edema of various parts of the body due to defects in lymphatic drainage. Molecular-genetic mechanisms of the disease are still poorly understood. Beginning of a clinical manifestation of primary lymphedema in middle age and the development of secondary lymphedema after treatment of breast cancer can be genetically determined. Disruption of endothelial cell apoptosis can be considered as one of the factors contributing to the development of lymphedema. However, a study of the relationship between genes associated with lymphedema and genes involved in endothelial apoptosis, in the associative gene network was not previously conducted.

methodsIn the current work, we used well-known methods (ToppGene and Endeavour), as well as methods previously developed by us, to prioritize genes involved in endothelial apoptosis and to find potential participants of molecular-genetic mechanisms of lymphedema among them. Original methods of prioritization took into account the overrepresented Gene Ontology biological processes, the centrality of vertices in the associative gene network, describing the interactions of endothelial apoptosis genes with genes associated with lymphedema, and the association of the analyzed genes with diseases that are comorbid to lymphedema.

resultsAn assessment of the quality of prioritization was performed using criteria, which involved an analysis of the enrichment of the top-most priority genes by genes, which are known to have simultaneous interactions with lymphedema and endothelial cell apoptosis, as well as by genes differentially expressed in murine model of lymphedema. In particular, among genes involved in endothelial apoptosis, KDR, TNF, TEK, BMPR2, SERPINE1, IL10, CD40LG, CCL2, FASLG and ABL1 had the highest priority. The identified priority genes can be considered as candidates for genotyping in the studies involving the search for associations with lymphedema.

conclusionsAnalysis of interactions of these genes in the associative gene network of lymphedema can improve understanding of mechanisms of interaction between endothelial apoptosis and lymphangiogenesis, and shed light on the role of disturbance of these processes in the development of edema, chronic inflammation and connective tissue transformation during the progression of the disease.

Indexed as

ApoptosisGene Regulatory NetworksSoftwareAnimalsBone Morphogenetic Protein Receptors, Type IIChemokine CCL2Databases, GeneticDisease Models, AnimalEndothelial CellsLymphedemaMiceVascular Endothelial Growth Factor Receptor-2Bmpr2 protein, mouseBone Morphogenetic Protein Receptors, Type IICcl2 protein, mouseChemokine CCL2Kdr protein, mouseVascular Endothelial Growth Factor Receptor-2ANDSystemAssociative gene networksEndothelial cell apoptosisGene prioritizationLymphedema

Identifiers

PMID30871556
PMCPMC6417156
OpenAlexW2921538750

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LicenceCC BY
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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.