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An Integrative Biomedical Informatics Approach to Elucidate the Similarities Between Pre-Eclampsia and Hypertension
Guillermo Lopez-Campos1, Emma Bonner1, Lana McClements1,2
1Centre for Experimental Medicine, Queen's University of Belfast, Belfast, Northern Ireland, United Kingdom.
Insights
Pre-eclampsia, a pregnancy complication, shares pathways with adult hypertension. This study used bioinformatics to uncover these overlapping mechanisms, aiding future research into complex diseases.
Area of Science:
- Biomedical Informatics
- Genetics
- Pathogenesis Research
Background:
- Pre-eclampsia affects 5-10% of pregnancies and is a leading cause of maternal mortality.
- It significantly increases the risk of cardiovascular disease later in life.
- The underlying pathogenesis of pre-eclampsia remains poorly understood.
Purpose of the Study:
- To investigate overlapping pathogenic mechanisms between pre-eclampsia and adult hypertension.
- To leverage an integrative biomedical informatics strategy for mechanistic insights.
- To identify shared pathways contributing to both conditions.
Main Methods:
- Utilized text mining to identify relevant genes and proteins.
- Employed geneset analyses to explore biological pathways.
- Integrated bioinformatics approaches to analyze complex disease mechanisms.
Main Results:
- Identified several overlapping pathogenic pathways including metabolic, developmental, immune, and hemostasis systems.
- Highlighted the roles of tyrosine kinase, extracellular matrix, and oxidative stress pathways.
- Confirmed shared mechanisms between pre-eclampsia and adult hypertension.
Conclusions:
- An integrative bioinformatics approach can elucidate shared pathogenic mechanisms between disorders.
- This strategy offers a framework for investigating the mechanistic pathways of pre-eclampsia and other complex diseases.
- Understanding these overlaps can inform future therapeutic strategies for cardiovascular health in women with a history of pre-eclampsia.
Abstract:
Pre-eclampsia is a pregnancy condition affecting 5-10% of pregnancies, and it is the leading cause of death in pregnancy associated with increased risk of cardiovascular disease later in life. Despite research, the pathogenesis of pre-eclampsia is still poorly understood. In this paper, we investigate the overlapping pathogenic mechanisms between pre-eclampsia and adult hypertension using an integrative biomedical informatics strategy that combined text mining techniques to identify genes and proteins, with geneset analyses, generating knowledge on the pathways and mechanisms involved in these conditions. We identified several overlapping pathogenic pathways/systems including metabolic pathways, developmental biology pathways, immune system, haemostasis, tyrosine kinase pathways, extracellular matrix and oxidative stress pathways. This bioinformatics approach could be applied for investigating mechanistic pathways of other disorders.
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