Validity of Triply Labelled Water Analysis for Energy Expenditure Measurements in Mice

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This study developed and validated the Triply Labelled Water (TLW) method for measuring mouse CO2 production, finding good agreement between different isotope calculations but an overestimation compared to indirect calorimetry, particularly for mice on high-fat diets.

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The paper evaluates the validity of Triply Labelled Water (TLW), extending the doubly labelled water method by adding the stable isotope 17O, to measure carbon dioxide production (rCO2) as a proxy for energy expenditure in mice. Mice on different diets received triply enriched water (2H, 18O, 17O), and blood samples collected at one initial and two final time points were analyzed by off-axis integrated cavity output spectroscopy; the authors also assessed how calculation protocols and assumptions about evaporative water loss fraction affected results. TLW provided consistent dilution spaces and turnover rates for 17O and 18O in the same mice group, and rCO2 derived from either 18O–2H or 17O–2H agreed closely, reducing rCO2 uncertainty to about 3% when averaging two DLW methods; however, TLW overestimated rCO2 versus indirect calorimetry, more so on a high-fat diet, which the authors attribute to an additional 2H loss or exchange mechanism with high fractionation. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

The Doubly Labelled Water (DLW) method is widely used to determine energy expenditure. In this work, we demonstrate the addition of the third stable isotope, 17 O, to turn it into Triply Labelled Water (TLW), using the three isotopes measurement of optical spectrometry. We performed TLW ( 2 H, 18 O and 17 O) measurements for the analysis of the CO 2 production (r CO2 ) of mice on different diets for the first time. Triply highly enriched water was injected into mice, and the isotope enrichments of the distilled blood samples of one initial and two finals were measured by an Off-Axis Integrated Cavity Output Spectroscopy instrument. We evaluated the impact of different calculation protocols and the values of evaporative water loss fraction. We found that the dilution space and turnover rates of 17 O and 18 O were equal for the same mice group, and that values of r CO2 calculated based on 18 O- 2 H, or on 17 O- 2 H agreed very well. This increases the reliability and redundancy of the measurements and it lowers the uncertainty in the calculated r CO2 to 3% when taking the average of two DLW methods. However, the TLW method overestimated the r CO2 compared to the indirect calorimetry measurements that we also performed, much more for the mice on a high-fat diet than for low-fat. We hypothesize an extra loss or exchange mechanism with a high fractionation for 2 H to explain this difference.
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Validity of Triply Labelled Water Analysis for Energy Expenditure Measurements in Mice | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Validity of Triply Labelled Water Analysis for Energy Expenditure Measurements in Mice Xing Wang, Dehuang Kong, Gertjan van Dijk, Harro Meijer This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-764218/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract The Doubly Labelled Water (DLW) method is widely used to determine energy expenditure. In this work, we demonstrate the addition of the third stable isotope, 17 O, to turn it into Triply Labelled Water (TLW), using the three isotopes measurement of optical spectrometry. We performed TLW ( 2 H, 18 O and 17 O) measurements for the analysis of the CO 2 production (r CO2 ) of mice on different diets for the first time. Triply highly enriched water was injected into mice, and the isotope enrichments of the distilled blood samples of one initial and two finals were measured by an Off-Axis Integrated Cavity Output Spectroscopy instrument. We evaluated the impact of different calculation protocols and the values of evaporative water loss fraction. We found that the dilution space and turnover rates of 17 O and 18 O were equal for the same mice group, and that values of r CO2 calculated based on 18 O- 2 H, or on 17 O- 2 H agreed very well. This increases the reliability and redundancy of the measurements and it lowers the uncertainty in the calculated r CO2 to 3% when taking the average of two DLW methods. However, the TLW method overestimated the r CO2 compared to the indirect calorimetry measurements that we also performed, much more for the mice on a high-fat diet than for low-fat. We hypothesize an extra loss or exchange mechanism with a high fractionation for 2 H to explain this difference. Endocrinology & Metabolism Doubly Labelled Water (DLW) energy expenditure Triply Labelled Water (TLW) optical spectrometry Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Major revision 18 Jan, 2022 Reviews received at journal 18 Jan, 2022 Reviews received at journal 14 Sep, 2021 Reviewers agreed at journal 09 Sep, 2021 Reviewers invited by journal 13 Aug, 2021 Editor assigned by journal 13 Aug, 2021 Editor invited by journal 13 Aug, 2021 Submission checks completed at journal 13 Aug, 2021 First submitted to journal 30 Jul, 2021 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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