Computational Models on Pathological Redox Signalling Driven by Pregnancy: A Review

Antioxidants

Jana-Charlotte Hegenbarth¹  Fergus P. McCarthy²  Samprikta Manna²  Cathal McCarthy³  Shailendra Gupta⁴  Julia Scheel⁴  Camino S. M. Ruano⁵  Daniel Vaiman⁵  Clara Apicella⁵  Céline Méhats⁵ 

[1] Department of Molecular Genetics, Faculty of Science and Engineering, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6211 KH Maastricht, The Netherlands;Department of Obstetrics and Gynaecology, Cork University Maternity Hospital, University College Cork, T12 YE02 Cork, Ireland;Department of Pharmacology and Therapeutics, Western Gateway Building, University College Cork, T12 K8AF Cork, Ireland;Department of Systems Biology and Bioinformatics, Rostock University, 18051 Rostock, Germany;Institut Cochin, Inserm U1016, UMR8104 CNRS, Université de Paris, 75014 Paris, France;

关键词: oxidative stress;    preeclampsia;    systems biology;    antioxidant therapy;    integrative modelling;    cardio-obstetrics;   

DOI  :  10.3390/antiox11030585

来源: DOAJ

【 摘 要 】

Oxidative stress is associated with a myriad of diseases including pregnancy pathologies with long-term cardiovascular repercussions for both the mother and baby. Aberrant redox signalling coupled with deficient antioxidant defence leads to chronic molecular impairment. Abnormal placentation has been considered the primary source for reactive species; however, placental dysfunction has been deemed secondary to maternal cardiovascular maladaptation in pregnancy. While various therapeutic interventions, aimed at combating deregulated oxidative stress during pregnancy have shown promise in experimental models, they often result as inconclusive or detrimental in clinical trials, warranting the need for further research to identify candidates. The strengths and limitations of current experimental methods in redox research are discussed. Assessment of redox status and oxidative stress in experimental models and in clinical practice remains challenging; the state-of-the-art of computational models in this field is presented in this review, comparing static and dynamic models which provide functional information such as protein-protein interactions, as well as the impact of changes in molecular species on the redox-status of the system, respectively. Enhanced knowledge of redox biology in during pregnancy through computational modelling such as generation of Systems Biology Markup Language model which integrates existing models to a larger network in the context of placenta physiology.

【 授权许可】

Unknown