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

Andrey S. Glotov, Evgeny S. Tiys, Elena S. Vashukova, Vladimir S. Pakin, Pavel S. Demenkov, Olga V. Saik, Тimofey V. Ivanisenko, Olga N. Arzhanova, Elena V. Mozgovaya, Marina S. Zainulina, Nikolay A. Kolchanov, Vladislav S. Baranov, Vladimir A. Ivanisenko

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17 Scopus citations

Abstract

Background Pre-eclampsia is the most common complication occurring during pregnancy. In the majority of cases, it is concurrent with other pathologies in a comorbid manner (frequent co-occurrences in patients), such as diabetes mellitus, gestational diabetes and obesity. Providing bronchial asthma, pulmonary tuberculosis, certain neurodegenerative diseases and cancers as examples, we have shown previously that pairs of inversely comorbid pathologies (rare co-occurrences in patients) are more closely related to each other at the molecular genetic level compared with randomly generated pairs of diseases. Data in the literature concerning the causes of pre-eclampsia are abundant. However, the key mechanisms triggering this disease that are initiated by other pathological processes are thus far unknown. The aim of this work was to analyse the characteristic features of genetic networks that describe interactions between comorbid diseases, using pre-eclampsia as a case in point. Results The use of ANDSystem, Pathw
Original languageEnglish
Pages (from-to)1-12
JournalBMC Systems Biology
Volume9
Issue numberSupplement 2
DOIs
StatePublished - 2015

Keywords

  • automated text analysis
  • text-mining
  • ANDSystem
  • associative networks
  • disease associome
  • pre-eclampsia
  • diabetes mellitus
  • gestational diabetes
  • obesity.

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