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A standard calculation methodology for human doubly labeled water studies

La méthode de l'eau doublement étiquetée (DLW) mesure la dépense énergétique totale (TEE) chez les sujets en vie libre. Plusieurs équations sont utilisées pour convertir les données isotopiques en TEE. En utilisant la base de données DLW de l'Agence internationale de l'énergie atomique (AIEA) (5 756 mesures d'adultes et d'enfants), nous montrons qu'une variabilité considérable est introduite par différentes équations. Le rCO2 estimé est sensible au rapport spatial de dilution (DSR) des deux isotopes. Sur la base des performances dans les études de validation, nous proposons une nouvelle équation basée sur une nouvelle estimation du DSR moyen. Le DSR est plus faible à de faibles masses corporelles (<10 kg). En utilisant les données de 1 021 bébés et nourrissons, nous montrons que le DSR varie de manière non linéaire avec une masse corporelle comprise entre 0 et 10 kg. L'utilisation de cette relation pour prédire le DSR à partir du poids fournit une équation pour le rCO2 sur cette plage de taille qui correspond bien à la calorimétrie indirecte (différence moyenne de 0,64 % ; ET = 12,2 %). Nous proposons l'adoption de ces équations dans des études futures.
El método del agua doblemente etiquetada (DLW) mide el gasto total de energía (TEE) en sujetos de vida libre. Se utilizan varias ecuaciones para convertir los datos isotópicos en TEE. Utilizando la base de datos DLW del Organismo Internacional de Energía Atómica (OIEA) (5.756 mediciones de adultos y niños), mostramos que diferentes ecuaciones introducen una variabilidad considerable. El rCO2 estimado es sensible a la relación de espacio de dilución (DSR) de los dos isótopos. Basándonos en el rendimiento en los estudios de validación, proponemos una nueva ecuación basada en una nueva estimación de la DSR media. El DSR es menor a bajas masas corporales (<10 kg). Utilizando datos de 1.021 bebés y lactantes, mostramos que la DSR varía de forma no lineal con una masa corporal entre 0 y 10 kg. El uso de esta relación para predecir la DSR a partir del peso proporciona una ecuación para rCO2 en este rango de tamaño que concuerda bien con la calorimetría indirecta (diferencia promedio 0.64%; SD = 12.2%). Proponemos la adopción de estas ecuaciones en futuros estudios.
The doubly labeled water (DLW) method measures total energy expenditure (TEE) in free-living subjects. Several equations are used to convert isotopic data into TEE. Using the International Atomic Energy Agency (IAEA) DLW database (5,756 measurements of adults and children), we show considerable variability is introduced by different equations. The estimated rCO2 is sensitive to the dilution space ratio (DSR) of the two isotopes. Based on performance in validation studies, we propose a new equation based on a new estimate of the mean DSR. The DSR is lower at low body masses (<10 kg). Using data for 1,021 babies and infants, we show that the DSR varies non-linearly with body mass between 0 and 10 kg. Using this relationship to predict DSR from weight provides an equation for rCO2 over this size range that agrees well with indirect calorimetry (average difference 0.64%; SD = 12.2%). We propose adoption of these equations in future studies.
تقيس طريقة المياه ذات الملصقات المزدوجة (DLW) إجمالي إنفاق الطاقة (TEE) في الأشخاص الذين يعيشون بحرية. يتم استخدام العديد من المعادلات لتحويل بيانات النظائر إلى TEE. باستخدام قاعدة بيانات DLW التابعة للوكالة الدولية للطاقة الذرية (5756 قياسًا للبالغين والأطفال)، نظهر تباينًا كبيرًا يتم تقديمه بواسطة معادلات مختلفة. يكون rCO2 المقدر حساسًا لنسبة مساحة التخفيف (DSR) للنظيرين. بناءً على الأداء في دراسات التحقق من الصحة، نقترح معادلة جديدة بناءً على تقدير جديد لمتوسط DSR. يكون DSR أقل عند كتل الجسم المنخفضة (<10 كجم). باستخدام بيانات 1021 رضيعًا ورضيعًا، نظهر أن DSR يختلف بشكل غير خطي مع كتلة الجسم بين 0 و 10 كجم. يوفر استخدام هذه العلاقة للتنبؤ بـ DSR من الوزن معادلة لـ rCO2 فوق نطاق الحجم هذا تتوافق جيدًا مع قياس السعرات الحرارية غير المباشرة (متوسط الفرق 0.64 ٪ ؛ SD = 12.2 ٪). نقترح اعتماد هذه المعادلات في الدراسات المستقبلية.
- Stanford University United States
- Kyoto University Japan
- University of California, Los Angeles United States
- Chinese Academy of Sciences China (People's Republic of)
- Eindhoven University of Technology Netherlands
Physiology, QH301 Biology, [SDV]Life Sciences [q-bio], Body Composition Assessment and Analysis, total energy expenditure, Oxygen Isotopes, FOS: Health sciences, Biochemistry, RC1200, Range (aeronautics), Endocrinology, Validation, Medicine(all), validation, Chromatography, Nutrition and Dietetics, Statistics, Free-living, Isotope dilution, Chemistry, IAEA DLW database group, Body Composition, Medicine, Total energy expenditure, Dual-Energy X-ray Absorptiometry, Composite material, Indirect, Doubly labeled water, Nursing, Calorimetry, 531, QH301, Effects of Ketogenic Diet on Health, Health Sciences, FOS: Mathematics, Humans, Obesity, free-living, Mass spectrometry, Water, Calorimetry, Indirect, Energy metabolism, Deuterium, Provision and Assessment of Nutrition Support Therapy, doubly labeled water, Materials science, FOS: Biological sciences, Energy expenditure, Energy Metabolism, Mathematics, Genetics and Molecular Biology(all)
Physiology, QH301 Biology, [SDV]Life Sciences [q-bio], Body Composition Assessment and Analysis, total energy expenditure, Oxygen Isotopes, FOS: Health sciences, Biochemistry, RC1200, Range (aeronautics), Endocrinology, Validation, Medicine(all), validation, Chromatography, Nutrition and Dietetics, Statistics, Free-living, Isotope dilution, Chemistry, IAEA DLW database group, Body Composition, Medicine, Total energy expenditure, Dual-Energy X-ray Absorptiometry, Composite material, Indirect, Doubly labeled water, Nursing, Calorimetry, 531, QH301, Effects of Ketogenic Diet on Health, Health Sciences, FOS: Mathematics, Humans, Obesity, free-living, Mass spectrometry, Water, Calorimetry, Indirect, Energy metabolism, Deuterium, Provision and Assessment of Nutrition Support Therapy, doubly labeled water, Materials science, FOS: Biological sciences, Energy expenditure, Energy Metabolism, Mathematics, Genetics and Molecular Biology(all)
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