Literature DB >> 26776169

AN INTEGRATED NETWORK APPROACH TO IDENTIFYING BIOLOGICAL PATHWAYS AND ENVIRONMENTAL EXPOSURE INTERACTIONS IN COMPLEX DISEASES.

Christian Darabos1, Jingya Qiu, Jason H Moore.   

Abstract

Complex diseases are the result of intricate interactions between genetic, epigenetic and environmental factors. In previous studies, we used epidemiological and genetic data linking environmental exposure or genetic variants to phenotypic disease to construct Human Phenotype Networks and separately analyze the effects of both environment and genetic factors on disease interactions. To better capture the intricacies of the interactions between environmental exposure and the biological pathways in complex disorders, we integrate both aspects into a single "tripartite" network. Despite extensive research, the mechanisms by which chemical agents disrupt biological pathways are still poorly understood. In this study, we use our integrated network model to identify specific biological pathway candidates possibly disrupted by environmental agents. We conjecture that a higher number of co-occurrences between an environmental substance and biological pathway pair can be associated with a higher likelihood that the substance is involved in disrupting that pathway. We validate our model by demonstrating its ability to detect known arsenic and signal transduction pathway interactions and speculate on candidate cell-cell junction organization pathways disrupted by cadmium. The validation was supported by distinct publications of cell biology and genetic studies that associated environmental exposure to pathway disruption. The integrated network approach is a novel method for detecting the biological effects of environmental exposures. A better understanding of the molecular processes associated with specific environmental exposures will help in developing targeted molecular therapies for patients who have been exposed to the toxicity of environmental chemicals.

Entities:  

Mesh:

Year:  2016        PMID: 26776169      PMCID: PMC4721271     

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  22 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Influence of arsenate and arsenite on signal transduction pathways: an update.

Authors:  Ingrid L Druwe; Richard R Vaillancourt
Journal:  Arch Toxicol       Date:  2010-05-26       Impact factor: 5.153

Review 3.  Complementing the genome with an "exposome": the outstanding challenge of environmental exposure measurement in molecular epidemiology.

Authors:  Christopher Paul Wild
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-08       Impact factor: 4.254

4.  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

5.  A bipartite network approach to inferring interactions between environmental exposures and human diseases.

Authors:  Christian Darabos; Emily D Grussing; Maria E Cricco; Kenzie A Clark; Jason H Moore
Journal:  Pac Symp Biocomput       Date:  2015

6.  The importance of cadmium as a factor in calcified upper urinary tract stone disease--a prospective 7-year study.

Authors:  R Scott; C Cunningham; A McLelland; G S Fell; O P Fitzgerald-Finch; N McKellar
Journal:  Br J Urol       Date:  1982-12

7.  Using the bipartite human phenotype network to reveal pleiotropy and epistasis beyond the gene.

Authors:  Christian Darabos; Samantha H Harmon; Jason H Moore
Journal:  Pac Symp Biocomput       Date:  2014

8.  Incidence of renal stones among cadmium exposed battery workers.

Authors:  L Järup; C G Elinder
Journal:  Br J Ind Med       Date:  1993-07

9.  Cadmium causes delayed effects on renal function in the offspring of cadmium-contaminated pregnant female rats.

Authors:  G Jacquillet; O Barbier; I Rubera; M Tauc; A Borderie; M C Namorado; D Martin; G Sierra; J L Reyes; P Poujeol; M Cougnon
Journal:  Am J Physiol Renal Physiol       Date:  2007-08-08

10.  Systematic review and evidence integration for literature-based environmental health science assessments.

Authors:  Andrew A Rooney; Abee L Boyles; Mary S Wolfe; John R Bucher; Kristina A Thayer
Journal:  Environ Health Perspect       Date:  2014-04-22       Impact factor: 9.031

View more
  1 in total

1.  Modelling idiopathic Parkinson disease as a complex illness can inform incidence rate in healthy adults: the PR EDIGT score.

Authors:  Michael G Schlossmacher; Julianna J Tomlinson; Goncalo Santos; Bojan Shutinoski; Earl G Brown; Douglas Manuel; Tiago Mestre
Journal:  Eur J Neurosci       Date:  2016-12-27       Impact factor: 3.386

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.