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

Vincent Avecilla; Mayur Doke; Madhumita Das; Oscar Alcazar; Sandeep Appunni; Arthur Rech Tondin; Brandon Watts; Venkataraghavan Ramamoorthy; Muni Rubens; Jayanta Kumar Das

doi:10.3390/IJMS25084502

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

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

Vincent Avecilla, Mayur Doke, Madhumita Das, Oscar Alcazar, Sandeep Appunni, Arthur Rech Tondin, Brandon Watts, Venkataraghavan Ramamoorthy, Muni Rubens and Jayanta Kumar Das

International journal of molecular sciences, Vol.25(8), p.4502

2024-04-01

DOI: https://doi.org/10.3390/IJMS25084502

PMID: 38674087

Appears in Miller School of Medicine - Latest Publications

Abstract

estrogenic endocrine disruptors

gene network analysis

gene–environment interaction

peripheral arterial disease

vascular remodeling

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Title: Integrative Bioinformatics–Gene Network Approach Reveals Linkage between Estrogenic Endocrine Disruptors and Vascular Remodeling in Peripheral Arterial Disease
Creators: Vincent Avecilla - Florida International University
Mayur Doke - University of Miami
Madhumita Das - Miami Dade College
Oscar Alcazar - University of Miami
Sandeep Appunni - Government Medical College
Arthur Rech Tondin - University of Miami
Brandon Watts - University of Miami
Venkataraghavan Ramamoorthy - Baptist Health South Florida
Muni Rubens - Baptist Health South Florida
Jayanta Kumar Das - Florida Memorial University
Publication Details: International journal of molecular sciences, Vol.25(8), p.4502
Grant note: 2332021 / National Science Foundation (100000001) FMU 2332021 / National Science Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000001)
Academic Unit: Miller School of Medicine; Diabetes Research Institute (DRI)
Language: English
Resource Type: Journal article
PMID: 38674087
Record Identifier: 991032860893502976