Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature

Abstract

Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood. Prioritization is a way for identifying genes involved in complex phenotypic traits. Existing methods of prioritization consider genetic, expression and evolutionary data, molecular-genetic networks and other. In the case of molecular-genetic networks, as a rule, protein-protein interactions and KEGG networks are used. ANDSystem allows reconstructing associative gene networks, which include more than 20 types of interactions, including protein-protein interactions, expression regulation, transport, catalysis, etc. In this work, a set of genes has been prioritized to find genes potentially involved in asthma and hypertension comorbidity. The prioritization was carried out using well-known methods (ToppGene and Endeavor) and a cross-talk centrality criterion, calculated by analysis of associative gene networks from ANDSystem. The identified genes, including IL1A, CD40LG, STAT3, IL15, FAS, APP, TLR2, C3, IL13 and CXCL10, may be involved in the molecular mechanisms of comorbid asthma/hypertension. An analysis of the dynamics of the frequency of mentioning the most priority genes in scientific publications revealed that the top 100 priority genes are significantly enriched with genes with increased positive dynamics, which may be a positive sign for further studies of these genes.

Establishment of a diagnostic model based on immune-related genes in children with asthma

“…CD40LG is a cytokine that binds to CD40, a type II transmembrane protein that belongs to the tumor necrosis factor (TNF) gene superfamily [ 47 ]. CD40LG has been reported to be associated with the development of asthma [ 48 , 49 ]. Lee et al indicated that CD40LG which interacted with CD86 involved in the development of Allergic Asthma [ 50 ].…”

Identification of Comorbidities, Genomic Associations, and Molecular Mechanisms for COVID‐19 Using Bioinformatics Approaches

“…C-X-C motif chemokine 10 (CXCL10) is a small cytokine belonging to the CXC chemokine family that is correlated and responsible for the greater susceptibility of patients with severe portal hypertension, diabetes, obesity, and lung cancer [ 101 – 104 ]. Interleukin 1 alpha (IL1A) is a member of the interleukin 1 cytokine family that is involved in the molecular mechanisms of hypertension, diabetes, obesity, and lung cancer [ 88 , 105 – 107 ]. Interferon regulatory factor 7 (IRF7) is a member of the interferon regulatory transcription factor family and is involved in the pathogenesis of diabetes, obesity, and lung cancer [ 108 – 110 ].…”

Genetic Variants Associated with Bronchial Asthma Specific to the Population of the Russian Federation

“…the STAT3 gene encodes the STAT family transcription factor mediating the cellular responses to interleukins and regulates the inflammatory response [ 45 , 46 ];…”

“…TBX21, TBX5 кодируют белки -факторы активации транскрипции, экспрессия этих факторов снижена в T-клетках дыхательных путей больных астмой [16,44]; STAT6 кодирует фактор активации транскрипции семейства STAT; экспрессия этого гена значительно повышена у больных тяжелой формой БА [16]; ген STAT3 кодирует фактор активации транскрипции семейства STAT, который опосредует клеточные ответы на интерлейкины и действует как регулятор воспалительного ответа [45,46]; STAT4 кодирует фактор активации транскрипции семейства STAT, экспрессия этого гена снижена у больных БА [47];…”