Exercise represents an important tool in the prevention and treatment of metabolic disorders associated with obesity and aging, such as type 2 diabetes and cardiovascular disease. Besides skeletal muscle and its myokinins, the metabolic effects of exercise also rely on the induction of favorable changes in adipose tissue function. For example, adipose tissue is a source of lipokinins from the family of palmitic acid esters of hydroxy fatty acids (PAHSA), which have anti-inflammatory and insulin-sensitizing properties. We have recently shown that 4 months of exercise training increases PAHSA levels in adipose tissue and circulation. However, the mechanisms involved in the induction of PAHSA levels in response to exercise are unknown. The aim of the Effect of Acute Bout of Exercise on Levels of PAHSA (ETAPA) project is therefore to investigate the regulation of PAHSA metabolism in response to both acute and chronic exercise. To achieve this goal, we will employ state-of-the-art analytical methods to measure PAHSA levels in both adipose tissue and circulation of subjects of various ages and adiposity status. The main output of the ETAPA project will be the proof of principle regarding the important role of PAHSA lipokinins in exercise-induced enhancement of insulin sensitivity and the identification of potential drug targets that could be used to further improve PAHSA metabolism for the treatment of metabolic disorders associated with aging or obesity.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
60
Patients after overnight fast will cycle on ergo-meter for 60 minutes. No per-oral food intake will be allowed during the test. Level of the intensity of exercise will be determined as individual range of heart frequency (HF), oxygen consumption (VO2) and respiratory quotient (RQ) just bellow the aerobic threshold of the given participant (close to anticipated fatmax). These values will be obtained during maximal capacity stress test on cyclo-ergo-meter. This maximum stress test will be performed at least one week prior to the 60 minutes exercise to eliminate potential carry-over effect. Power output will be modulated during the 60 minutes of exercise to ensure keeping participants values of HF, RQ and VO2 in the given range. Blood will be sampled at 5 time points with interval of 30 minutes during the exercise (0, 30, 60, 90, 120) and 24 hours post-exercise.
The same participants will be monitored while resting for 120 minutes in calm environment. No peroral food intake will be allowed during the test. Fasting control will take place at least one week apart of the exercise. Blood will be sampled at 5 timepoints with interval of 30 minutes during the exercise (0, 30, 60, 90, 120) and 24 hours post-control.
3rd faculty of medicine, Charles University
Prague, Prague, Czechia
Assessment of PAHSA levels and its changes in response to exercise and fasting in cohorts differing in age and fat mass
PAHSA levels \[nmol/l\] in serum sampled at pre-set time-points during control and intervention visits (including exercise session or plain fasting) and in subcutaneous abdominal white adipose tissue will be assessed by quantitative targeted lipidomic analysis. Absolute and fold-change of PAHSA in plasma induced by experimental intervention (exercise, fasting) will be compared among individual cohorts.
Time frame: 2 years
Correlation of PAHSA levels with anthropometry and clinical characteristics
Basal levels of PAHSA and its changes in response to interventions will be correlated with anthropometric parameters (age, weight, fat mass) and parameters of physical fitness. Fat mass will be assessed by dual energy X-ray absorptiometry. Intercohort matching of obese and elderly subjects based on fat mass will be improved throughout the recruitment phase by utilization of fat mass assessment on two distinct certified bioimpedance instruments. Cohort physical fitness will be calculated as average from individual VO2max values obtained from maximum ergometry testing. Intercohort matching of young lean and young obese men and women will be based on age.
Time frame: 2 years
Correlation of PAHSA with various indexes of insulin sensitivity
Basal levels of PAHSA and its changes in response to interventions will be correlated with indices of muscle insulin sensitivity (MISI), hepatic insulin resistance (HIRI), adipose tissue insulin resistance (Adipo-IR) and homeostatic model assessment of insulin resistance (HOMA-IR). Values for measurement will be obtained by biochemical analysis of blood sampled during 5-point oral glucose tolerance test.
Time frame: 2 years
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