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A 3-D virtual human thermoregulatory model to predict whole-body and organ-specific heat-stress responses
OBJECTIVE: This study aimed at assessing the risks associated with human exposure to heat-stress conditions by predicting organ- and tissue-level heat-stress responses under different exertional activities, environmental conditions, and clothing. METHODS: In this study, we developed an anatomically...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357720/ https://www.ncbi.nlm.nih.gov/pubmed/34089370 http://dx.doi.org/10.1007/s00421-021-04698-1 |
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author | Unnikrishnan, Ginu Hatwar, Rajeev Hornby, Samantha Laxminarayan, Srinivas Gulati, Tushar Belval, Luke N. Giersch, Gabrielle E. W. Kazman, Josh B. Casa, Douglas J. Reifman, Jaques |
author_facet | Unnikrishnan, Ginu Hatwar, Rajeev Hornby, Samantha Laxminarayan, Srinivas Gulati, Tushar Belval, Luke N. Giersch, Gabrielle E. W. Kazman, Josh B. Casa, Douglas J. Reifman, Jaques |
author_sort | Unnikrishnan, Ginu |
collection | PubMed |
description | OBJECTIVE: This study aimed at assessing the risks associated with human exposure to heat-stress conditions by predicting organ- and tissue-level heat-stress responses under different exertional activities, environmental conditions, and clothing. METHODS: In this study, we developed an anatomically detailed three-dimensional thermoregulatory finite element model of a 50th percentile U.S. male, to predict the spatiotemporal temperature distribution throughout the body. The model accounts for the major heat transfer and thermoregulatory mechanisms, and circadian-rhythm effects. We validated our model by comparing its temperature predictions of various organs (brain, liver, stomach, bladder, and esophagus), and muscles (vastus medialis and triceps brachii) under normal resting conditions (errors between 0.0 and 0.5 °C), and of rectum under different heat-stress conditions (errors between 0.1 and 0.3 °C), with experimental measurements from multiple studies. RESULTS: Our simulations showed that the rise in the rectal temperature was primarily driven by the activity level (~ 94%) and, to a much lesser extent, environmental conditions or clothing considered in our study. The peak temperature in the heart, liver, and kidney were consistently higher than in the rectum (by ~ 0.6 °C), and the entire heart and liver recorded higher temperatures than in the rectum, indicating that these organs may be more susceptible to heat injury. CONCLUSION: Our model can help assess the impact of exertional and environmental heat stressors at the organ level and, in the future, evaluate the efficacy of different whole-body or localized cooling strategies in preserving organ integrity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00421-021-04698-1. |
format | Online Article Text |
id | pubmed-8357720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-83577202021-08-30 A 3-D virtual human thermoregulatory model to predict whole-body and organ-specific heat-stress responses Unnikrishnan, Ginu Hatwar, Rajeev Hornby, Samantha Laxminarayan, Srinivas Gulati, Tushar Belval, Luke N. Giersch, Gabrielle E. W. Kazman, Josh B. Casa, Douglas J. Reifman, Jaques Eur J Appl Physiol Original Article OBJECTIVE: This study aimed at assessing the risks associated with human exposure to heat-stress conditions by predicting organ- and tissue-level heat-stress responses under different exertional activities, environmental conditions, and clothing. METHODS: In this study, we developed an anatomically detailed three-dimensional thermoregulatory finite element model of a 50th percentile U.S. male, to predict the spatiotemporal temperature distribution throughout the body. The model accounts for the major heat transfer and thermoregulatory mechanisms, and circadian-rhythm effects. We validated our model by comparing its temperature predictions of various organs (brain, liver, stomach, bladder, and esophagus), and muscles (vastus medialis and triceps brachii) under normal resting conditions (errors between 0.0 and 0.5 °C), and of rectum under different heat-stress conditions (errors between 0.1 and 0.3 °C), with experimental measurements from multiple studies. RESULTS: Our simulations showed that the rise in the rectal temperature was primarily driven by the activity level (~ 94%) and, to a much lesser extent, environmental conditions or clothing considered in our study. The peak temperature in the heart, liver, and kidney were consistently higher than in the rectum (by ~ 0.6 °C), and the entire heart and liver recorded higher temperatures than in the rectum, indicating that these organs may be more susceptible to heat injury. CONCLUSION: Our model can help assess the impact of exertional and environmental heat stressors at the organ level and, in the future, evaluate the efficacy of different whole-body or localized cooling strategies in preserving organ integrity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00421-021-04698-1. Springer Berlin Heidelberg 2021-06-05 2021 /pmc/articles/PMC8357720/ /pubmed/34089370 http://dx.doi.org/10.1007/s00421-021-04698-1 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Unnikrishnan, Ginu Hatwar, Rajeev Hornby, Samantha Laxminarayan, Srinivas Gulati, Tushar Belval, Luke N. Giersch, Gabrielle E. W. Kazman, Josh B. Casa, Douglas J. Reifman, Jaques A 3-D virtual human thermoregulatory model to predict whole-body and organ-specific heat-stress responses |
title | A 3-D virtual human thermoregulatory model to predict whole-body and organ-specific heat-stress responses |
title_full | A 3-D virtual human thermoregulatory model to predict whole-body and organ-specific heat-stress responses |
title_fullStr | A 3-D virtual human thermoregulatory model to predict whole-body and organ-specific heat-stress responses |
title_full_unstemmed | A 3-D virtual human thermoregulatory model to predict whole-body and organ-specific heat-stress responses |
title_short | A 3-D virtual human thermoregulatory model to predict whole-body and organ-specific heat-stress responses |
title_sort | 3-d virtual human thermoregulatory model to predict whole-body and organ-specific heat-stress responses |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357720/ https://www.ncbi.nlm.nih.gov/pubmed/34089370 http://dx.doi.org/10.1007/s00421-021-04698-1 |
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