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A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of microvascular status
The study of vascular function across conditions has been an intensive area of investigation for many years. While these efforts have revealed many factors contributing to vascular health, challenges remain for integrating results across research groups, animal models, and experimental conditions to...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763931/ https://www.ncbi.nlm.nih.gov/pubmed/36561210 http://dx.doi.org/10.3389/fphys.2022.1071813 |
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author | Menon, Nithin J. Halvorson, Brayden D. Alimorad, Gabrielle H. Frisbee, Jefferson C. Lizotte, Daniel J. Ward, Aaron D. Goldman, Daniel Chantler, Paul D. Frisbee, Stephanie J. |
author_facet | Menon, Nithin J. Halvorson, Brayden D. Alimorad, Gabrielle H. Frisbee, Jefferson C. Lizotte, Daniel J. Ward, Aaron D. Goldman, Daniel Chantler, Paul D. Frisbee, Stephanie J. |
author_sort | Menon, Nithin J. |
collection | PubMed |
description | The study of vascular function across conditions has been an intensive area of investigation for many years. While these efforts have revealed many factors contributing to vascular health, challenges remain for integrating results across research groups, animal models, and experimental conditions to understand integrated vascular function. As such, the insights attained in clinical/population research from linking datasets, have not been fully realized in the basic sciences, thus frustrating advanced analytics and complex modeling. To achieve comparable advances, we must address the conceptual challenge of defining/measuring integrated vascular function and the technical challenge of combining data across conditions, models, and groups. Here, we describe an approach to establish and validate a composite metric of vascular function by comparing parameters of vascular function in metabolic disease (the obese Zucker rat) to the same parameters in age-matched, “healthy” conditions, resulting in a common outcome measure which we term the vascular health index (VHI). VHI allows for the integration of datasets, thus expanding sample size and permitting advanced modeling to gain insight into the development of peripheral and cerebral vascular dysfunction. Markers of vascular reactivity, vascular wall mechanics, and microvascular network density are integrated in the VHI. We provide a detailed presentation of the development of the VHI and provide multiple measures to assess face, content, criterion, and discriminant validity of the metric. Our results demonstrate how the VHI captures multiple indices of dysfunction in the skeletal muscle and cerebral vasculature with metabolic disease and provide context for an integrated understanding of vascular health under challenged conditions. |
format | Online Article Text |
id | pubmed-9763931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97639312022-12-21 A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of microvascular status Menon, Nithin J. Halvorson, Brayden D. Alimorad, Gabrielle H. Frisbee, Jefferson C. Lizotte, Daniel J. Ward, Aaron D. Goldman, Daniel Chantler, Paul D. Frisbee, Stephanie J. Front Physiol Physiology The study of vascular function across conditions has been an intensive area of investigation for many years. While these efforts have revealed many factors contributing to vascular health, challenges remain for integrating results across research groups, animal models, and experimental conditions to understand integrated vascular function. As such, the insights attained in clinical/population research from linking datasets, have not been fully realized in the basic sciences, thus frustrating advanced analytics and complex modeling. To achieve comparable advances, we must address the conceptual challenge of defining/measuring integrated vascular function and the technical challenge of combining data across conditions, models, and groups. Here, we describe an approach to establish and validate a composite metric of vascular function by comparing parameters of vascular function in metabolic disease (the obese Zucker rat) to the same parameters in age-matched, “healthy” conditions, resulting in a common outcome measure which we term the vascular health index (VHI). VHI allows for the integration of datasets, thus expanding sample size and permitting advanced modeling to gain insight into the development of peripheral and cerebral vascular dysfunction. Markers of vascular reactivity, vascular wall mechanics, and microvascular network density are integrated in the VHI. We provide a detailed presentation of the development of the VHI and provide multiple measures to assess face, content, criterion, and discriminant validity of the metric. Our results demonstrate how the VHI captures multiple indices of dysfunction in the skeletal muscle and cerebral vasculature with metabolic disease and provide context for an integrated understanding of vascular health under challenged conditions. Frontiers Media S.A. 2022-12-06 /pmc/articles/PMC9763931/ /pubmed/36561210 http://dx.doi.org/10.3389/fphys.2022.1071813 Text en Copyright © 2022 Menon, Halvorson, Alimorad, Frisbee, Lizotte, Ward, Goldman, Chantler and Frisbee. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Menon, Nithin J. Halvorson, Brayden D. Alimorad, Gabrielle H. Frisbee, Jefferson C. Lizotte, Daniel J. Ward, Aaron D. Goldman, Daniel Chantler, Paul D. Frisbee, Stephanie J. A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of microvascular status |
title | A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of microvascular status |
title_full | A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of microvascular status |
title_fullStr | A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of microvascular status |
title_full_unstemmed | A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of microvascular status |
title_short | A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of microvascular status |
title_sort | novel vascular health index: using data analytics and population health to facilitate mechanistic modeling of microvascular status |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763931/ https://www.ncbi.nlm.nih.gov/pubmed/36561210 http://dx.doi.org/10.3389/fphys.2022.1071813 |
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