Hopital Cochin
Paris, 75014, France
NCT Number: NCT03141957
Aging and cancer are two conditions associated with extensive metabolic changes that can cause malnutrition. However, the clinical features and the underlying mechanisms leading to malnutrition are different in these two cases. We therefore wonder how age can influence the metabolic response to cancer.
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Notify Me18 year–95 year
All sexes
Observational
Paris, 75014, France
During aging, among other physiological modifications, inactivity and insulin resistance cause a progressive muscle loss associated with a decrease in resting energy expenditure (REE). In cancer, loud inflammation background also provokes a decrease in muscle mass as well as in fat mass. However, previous studies reported an increased REE, termed hypermetabolism, probably linked to inflammation.
Data concerning response to aggression in the elderly patient is scarce and even inexistent when it comes to cancer. The investigators hypothesize that the mitochondrial dysfunction that comes with aging and that decreases the ATP rendering per unit of energy-producing nutrient oxidized increases the amount of nutrient to be consumed in order to sustain to energy needs. Therefore, in this situation, elderly patients could have a higher rate or degree of hypermetabolism than younger patients.
The primary objective of this study is to assess the effect of aging on the metabolic response to cancer assessed by resting energy expenditure measured by indirect calorimetry corrected by whole body fat free mass calculated from single slice CT imaging at the third lumbar vertebra.
The secondary objective of this study is to point out some inflammatory or endocrine determinants of these energy metabolism changes in the cancer patient.
Non-small cell lung carcinoma seems to be a relevant choice for this study because it is frequently associated with cachexia and the literature reports a high rate of hypermetabolism in this cancer.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: Day 0
Energy expenditure is measured by indirect calorimetry.
Time frame: Day 0
Inflammatory status
Time frame: Day 0
Inflammatory status
Time frame: Day 0
Inflammatory status
Time frame: Day 0
Endocrine Status - Glucose Homeostasis
Time frame: Day 0
Endocrine Status - Thyroid Function
Time frame: Day 0
Endocrine Status - Somatotropic axis
Time frame: Day 0
Endocrine Status
Time frame: Day 0
Aggregates blood Insulin and glucose level as an insulin resistance score
Time frame: Day 0
Estimated from muscular area at the third lombular vertebra from CT-scan
Time frame: Day 0
Estimated by a qualified dietetican
Time frame: Day 0
Nutritional Satus
Time frame: Day 0
Nutritional Satus
Time frame: Day 0
REE estimated with Harris & Benedict Formula
Time frame: Day 0
Percentage of HB : (mREE/HB) x 100
University of Paris 5 - Rene Descartes
Other
Acronym: HELP
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