Integrative Bioinformatics-Gene Network Approach Reveals Linkage between Estrogenic Endocrine Disruptors and Vascular Remodeling in Peripheral Arterial Disease

Int J Mol Sci. 2024 Apr 19;25(8):4502. doi: 10.3390/ijms25084502.

Abstract

Vascular diseases, including peripheral arterial disease (PAD), pulmonary arterial hypertension, and atherosclerosis, significantly impact global health due to their intricate relationship with vascular remodeling. This process, characterized by structural alterations in resistance vessels, is a hallmark of heightened vascular resistance seen in these disorders. The influence of environmental estrogenic endocrine disruptors (EEDs) on the vasculature suggests a potential exacerbation of these alterations. Our study employs an integrative approach, combining data mining with bioinformatics, to unravel the interactions between EEDs and vascular remodeling genes in the context of PAD. We explore the molecular dynamics by which EED exposure may alter vascular function in PAD patients. The investigation highlights the profound effect of EEDs on pivotal genes such as ID3, LY6E, FOS, PTP4A1, NAMPT, GADD45A, PDGF-BB, and NFKB, all of which play significant roles in PAD pathophysiology. The insights gained from our study enhance the understanding of genomic alterations induced by EEDs in vascular remodeling processes. Such knowledge is invaluable for developing strategies to prevent and manage vascular diseases, potentially mitigating the impact of harmful environmental pollutants like EEDs on conditions such as PAD.

Keywords: estrogenic endocrine disruptors; gene network analysis; gene–environment interaction; peripheral arterial disease; vascular remodeling.

MeSH terms

  • Computational Biology* / methods
  • Endocrine Disruptors*
  • Estrogens / metabolism
  • Gene Regulatory Networks*
  • Humans
  • Peripheral Arterial Disease* / genetics
  • Vascular Remodeling* / drug effects
  • Vascular Remodeling* / genetics

Substances

  • Endocrine Disruptors
  • Estrogens

Grants and funding