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Validation of an equation for energy expenditure that does not require the respiratory quotient
BACKGROUND: Energy expenditure (EE) calculated from respirometric indirect calorimetry is most accurate when based on oxygen consumption (VO(2)), carbon dioxide production (VCO(2)) and estimated protein metabolism (PM). EE has a substantial dependence of ~7% on the respiratory quotient (RQ, VCO(2)/V...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358081/ https://www.ncbi.nlm.nih.gov/pubmed/30707737 http://dx.doi.org/10.1371/journal.pone.0211585 |
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author | Kaiyala, Karl J. Wisse, Brent E. Lighton, John R. B. |
author_facet | Kaiyala, Karl J. Wisse, Brent E. Lighton, John R. B. |
author_sort | Kaiyala, Karl J. |
collection | PubMed |
description | BACKGROUND: Energy expenditure (EE) calculated from respirometric indirect calorimetry is most accurate when based on oxygen consumption (VO(2)), carbon dioxide production (VCO(2)) and estimated protein metabolism (PM). EE has a substantial dependence of ~7% on the respiratory quotient (RQ, VCO(2)/VO(2)) and a lesser dependence on PM, yet many studies have instead estimated EE from VO(2) only while PM has often been ignored, thus reducing accuracy. In 1949 Weir proposed a method to accurately calculate EE without using RQ, which also adjusts for estimated PM based on dietary composition. This RQ(-) method utilizes the calorimeter airflow rate (FR), the change in fractional O(2) concentration (ΔFO(2)) and the dietary protein fraction. The RQ(-) method has not previously been empirically validated against the standard RQ(+) method using both VO(2) and RQ. Our aim was to do that. METHODS: VO(2) and VCO(2) were measured repeatedly in 8 mice fed a high protein diet (HPD) during exposure to different temperatures (n = 168 measurements of 24h gas exchange). The HPD-adjusted RQ(+) equation was: EE [kcal/time] = VO(2) [L/time]×(3.853+1.081RQ) while the corresponding RQ(-) equation was: EE = 4.934×FR×ΔFO(2). Agreement was analyzed using the ratios of the RQ(-) to RQ(+) methods along with regression and Bland-Altman agreement analyses. We also evaluated the standard equation using the dietary food quotient (FQ) of 0.91 as a proxy for RQ (FQ(+) method). RESULTS: Ratio analysis revealed that the mean error of the RQ(-) method was only 0.11 ± 0.042% while the maximum error was only 0.21%. Error using the FQ(+) method was 4 -and 10-fold greater, respectively. Bland-Altman analysis demonstrated that the RQ(-) method very slightly overestimates EE as RQ decreases. Theoretically, this error can be eliminated completely by imposing an incurrent fractional oxygen concentration at a value only slightly greater than the atmospheric level. CONCLUSIONS: The Weir ‘RQ-free’ method for calculating EE is a highly valid alternative to the ‘gold standard’ method that requires RQ. The RQ(-) approach permits reduced cost and complexity in studies focused on EE and provides a way to rescue EE measurement in studies compromised by faulty CO(2) measurements. Practitioners of respirometry should consider adjusting EE calculations for estimated protein metabolism based on dietary composition. |
format | Online Article Text |
id | pubmed-6358081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63580812019-02-15 Validation of an equation for energy expenditure that does not require the respiratory quotient Kaiyala, Karl J. Wisse, Brent E. Lighton, John R. B. PLoS One Research Article BACKGROUND: Energy expenditure (EE) calculated from respirometric indirect calorimetry is most accurate when based on oxygen consumption (VO(2)), carbon dioxide production (VCO(2)) and estimated protein metabolism (PM). EE has a substantial dependence of ~7% on the respiratory quotient (RQ, VCO(2)/VO(2)) and a lesser dependence on PM, yet many studies have instead estimated EE from VO(2) only while PM has often been ignored, thus reducing accuracy. In 1949 Weir proposed a method to accurately calculate EE without using RQ, which also adjusts for estimated PM based on dietary composition. This RQ(-) method utilizes the calorimeter airflow rate (FR), the change in fractional O(2) concentration (ΔFO(2)) and the dietary protein fraction. The RQ(-) method has not previously been empirically validated against the standard RQ(+) method using both VO(2) and RQ. Our aim was to do that. METHODS: VO(2) and VCO(2) were measured repeatedly in 8 mice fed a high protein diet (HPD) during exposure to different temperatures (n = 168 measurements of 24h gas exchange). The HPD-adjusted RQ(+) equation was: EE [kcal/time] = VO(2) [L/time]×(3.853+1.081RQ) while the corresponding RQ(-) equation was: EE = 4.934×FR×ΔFO(2). Agreement was analyzed using the ratios of the RQ(-) to RQ(+) methods along with regression and Bland-Altman agreement analyses. We also evaluated the standard equation using the dietary food quotient (FQ) of 0.91 as a proxy for RQ (FQ(+) method). RESULTS: Ratio analysis revealed that the mean error of the RQ(-) method was only 0.11 ± 0.042% while the maximum error was only 0.21%. Error using the FQ(+) method was 4 -and 10-fold greater, respectively. Bland-Altman analysis demonstrated that the RQ(-) method very slightly overestimates EE as RQ decreases. Theoretically, this error can be eliminated completely by imposing an incurrent fractional oxygen concentration at a value only slightly greater than the atmospheric level. CONCLUSIONS: The Weir ‘RQ-free’ method for calculating EE is a highly valid alternative to the ‘gold standard’ method that requires RQ. The RQ(-) approach permits reduced cost and complexity in studies focused on EE and provides a way to rescue EE measurement in studies compromised by faulty CO(2) measurements. Practitioners of respirometry should consider adjusting EE calculations for estimated protein metabolism based on dietary composition. Public Library of Science 2019-02-01 /pmc/articles/PMC6358081/ /pubmed/30707737 http://dx.doi.org/10.1371/journal.pone.0211585 Text en © 2019 Kaiyala et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kaiyala, Karl J. Wisse, Brent E. Lighton, John R. B. Validation of an equation for energy expenditure that does not require the respiratory quotient |
title | Validation of an equation for energy expenditure that does not require the respiratory quotient |
title_full | Validation of an equation for energy expenditure that does not require the respiratory quotient |
title_fullStr | Validation of an equation for energy expenditure that does not require the respiratory quotient |
title_full_unstemmed | Validation of an equation for energy expenditure that does not require the respiratory quotient |
title_short | Validation of an equation for energy expenditure that does not require the respiratory quotient |
title_sort | validation of an equation for energy expenditure that does not require the respiratory quotient |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358081/ https://www.ncbi.nlm.nih.gov/pubmed/30707737 http://dx.doi.org/10.1371/journal.pone.0211585 |
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