Literature DB >> 24954693

Insights into pathophysiology of dystropy through the analysis of gene networks: an example of bronchial asthma and tuberculosis.

Elena Yu Bragina1, Evgeny S Tiys, Maxim B Freidin, Lada A Koneva, Pavel S Demenkov, Vladimir A Ivanisenko, Nikolay A Kolchanov, Valery P Puzyrev.   

Abstract

Co-existence of bronchial asthma (BA) and tuberculosis (TB) is extremely uncommon (dystropic). We assume that this is caused by the interplay between genes involved into specific pathophysiological pathways that arrest simultaneous manifestation of BA and TB. Identification of common and specific genes may be important to determine the molecular genetic mechanisms leading to rare co-occurrence of these diseases and may contribute to the identification of susceptibility genes for each of these dystropic diseases. To address the issue, we propose a new methodological strategy that is based on reconstruction of associative networks that represent molecular relationships between proteins/genes associated with BA and TB, thus facilitating a better understanding of the biological context of antagonistic relationships between the diseases. The results of our study revealed a number of proteins/genes important for the development of both BA and TB.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24954693     DOI: 10.1007/s00251-014-0786-1

Source DB:  PubMed          Journal:  Immunogenetics        ISSN: 0093-7711            Impact factor:   2.846


  55 in total

1.  CD4 is required for the development of a protective granulomatous response to pulmonary tuberculosis.

Authors:  Bernadette M Saunders; Anthony A Frank; Ian M Orme; Andrea M Cooper
Journal:  Cell Immunol       Date:  2002 Mar-Apr       Impact factor: 4.868

2.  Gene expression profiling detects patterns of human macrophage responses following Mycobacterium tuberculosis infection.

Authors:  Jennifer P Wang; Steffney E Rought; Jacques Corbeil; Donald G Guiney
Journal:  FEMS Immunol Med Microbiol       Date:  2003-11-28

3.  Hierarchical organization of modularity in metabolic networks.

Authors:  E Ravasz; A L Somera; D A Mongru; Z N Oltvai; A L Barabási
Journal:  Science       Date:  2002-08-30       Impact factor: 47.728

4.  Polymorphism in Osteopontin Gene (SPP1) Is Associated with Asthma and Related Phenotypes in a Puerto Rican Population.

Authors:  Mehrdad Arjomandi; Josh M Galanter; Shweta Choudhry; Celeste Eng; Donglei Hu; Kenneth Beckman; Rocío Chapela; José R Rodríguez-Santana; William Rodríguez-Cintrón; Jean Ford; Pedro C Avila; Esteban G Burchard
Journal:  Pediatr Allergy Immunol Pulmonol       Date:  2011-12       Impact factor: 1.349

5.  Kernel methods for predicting protein-protein interactions.

Authors:  Asa Ben-Hur; William Stafford Noble
Journal:  Bioinformatics       Date:  2005-06       Impact factor: 6.937

6.  The human disease network.

Authors:  Kwang-Il Goh; Michael E Cusick; David Valle; Barton Childs; Marc Vidal; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-14       Impact factor: 11.205

7.  Functional haplotypes of IL-12B are associated with childhood atopic asthma.

Authors:  Tomomitsu Hirota; Yoichi Suzuki; Koichi Hasegawa; Kazuhiko Obara; Akira Matsuda; Mitsuteru Akahoshi; Kazuko Nakashima; Lei Cheng; Naomi Takahashi; Makiko Shimizu; Satoru Doi; Kimie Fujita; Tadao Enomoto; Motohiro Ebisawa; Shigemi Yoshihara; Yusuke Nakamura; Fumio Kishi; Taro Shirakawa; Mayumi Tamari
Journal:  J Allergy Clin Immunol       Date:  2005-08-08       Impact factor: 10.793

8.  An inverse correlation between estimated tuberculosis notification rates and asthma symptoms.

Authors:  Philippa Shirtcliffe; Mark Weatherall; Richard Beasley
Journal:  Respirology       Date:  2002-06       Impact factor: 6.424

9.  STAT3 single-nucleotide polymorphisms and STAT3 mutations associated with hyper-IgE syndrome are not responsible for increased serum IgE serum levels in asthma families.

Authors:  Matthias Wjst; Peter Lichtner; Thomas Meitinger; Bodo Grimbacher
Journal:  Eur J Hum Genet       Date:  2008-10-08       Impact factor: 4.246

10.  A critical role of the p75 tumor necrosis factor receptor (p75TNF-R) in organ inflammation independent of TNF, lymphotoxin alpha, or the p55TNF-R.

Authors:  E Douni; G Kollias
Journal:  J Exp Med       Date:  1998-10-05       Impact factor: 14.307

View more
  9 in total

1.  Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome).

Authors:  Andrey S Glotov; Evgeny S Tiys; Elena S Vashukova; Vladimir S Pakin; Pavel S Demenkov; Olga V Saik; Timofey V Ivanisenko; Olga N Arzhanova; Elena V Mozgovaya; Marina S Zainulina; Nikolay A Kolchanov; Vladislav S Baranov; Vladimir A Ivanisenko
Journal:  BMC Syst Biol       Date:  2015-04-15

2.  A new version of the ANDSystem tool for automatic extraction of knowledge from scientific publications with expanded functionality for reconstruction of associative gene networks by considering tissue-specific gene expression.

Authors:  Vladimir A Ivanisenko; Pavel S Demenkov; Timofey V Ivanisenko; Elena L Mishchenko; Olga V Saik
Journal:  BMC Bioinformatics       Date:  2019-02-05       Impact factor: 3.169

3.  ANDSystem: an Associative Network Discovery System for automated literature mining in the field of biology.

Authors:  Vladimir A Ivanisenko; Olga V Saik; Nikita V Ivanisenko; Evgeny S Tiys; Timofey V Ivanisenko; Pavel S Demenkov; Nikolay A Kolchanov
Journal:  BMC Syst Biol       Date:  2015-04-15

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

Authors:  Olga V Saik; Vadim V Nimaev; Dilovarkhuja B Usmonov; Pavel S Demenkov; Timofey V Ivanisenko; Inna N Lavrik; Vladimir A Ivanisenko
Journal:  BMC Med Genomics       Date:  2019-03-13       Impact factor: 3.063

5.  Prediction of tissue-specific effects of gene knockout on apoptosis in different anatomical structures of human brain.

Authors:  Evgeny D Petrovskiy; Olga V Saik; Evgeny S Tiys; Inna N Lavrik; Nikolay A Kolchanov; Vladimir A Ivanisenko
Journal:  BMC Genomics       Date:  2015-12-16       Impact factor: 3.969

6.  Network analysis identifies SOD2 mRNA as a potential biomarker for Parkinson's disease.

Authors:  Jose A Santiago; Clemens R Scherzer; Judith A Potashkin
Journal:  PLoS One       Date:  2014-10-03       Impact factor: 3.240

7.  FunGeneNet: a web tool to estimate enrichment of functional interactions in experimental gene sets.

Authors:  Evgeny S Tiys; Timofey V Ivanisenko; Pavel S Demenkov; Vladimir A Ivanisenko
Journal:  BMC Genomics       Date:  2018-02-09       Impact factor: 3.969

8.  Hypoglycemia, Vascular Disease and Cognitive Dysfunction in Diabetes: Insights from Text Mining-Based Reconstruction and Bioinformatics Analysis of the Gene Networks.

Authors:  Olga V Saik; Vadim V Klimontov
Journal:  Int J Mol Sci       Date:  2021-11-17       Impact factor: 5.923

9.  Bioinformatic Reconstruction and Analysis of Gene Networks Related to Glucose Variability in Diabetes and Its Complications.

Authors:  Olga V Saik; Vadim V Klimontov
Journal:  Int J Mol Sci       Date:  2020-11-18       Impact factor: 5.923

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.