Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT05778032 |
Other study ID # |
01C213 |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
May 25, 2022 |
Est. completion date |
December 31, 2023 |
Study information
Verified date |
March 2023 |
Source |
Istituto Auxologico Italiano |
Contact |
Alessandro Sartorio, MD |
Phone |
+390261911 |
Email |
sartorio[@]auxologico.it |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
The primary objective of the study is to compare, in a cohort of obese subjects with PWS
hospitalized at the Division of Auxology, Istituto Auxologico Italiano, Piancavallo (VB),
Italy, the age acceleration calculated at study entry (T0) with the age acceleration measured
at the end of a 3-week multidisciplinary metabolic rehabilitation program (T1).
Secondary objectives are to correlate the biological age with the anthropometric
characteristics (with particular reference to the body composition), the glycometabolic
picture, the main parameters and cardiovascular risk factors, the therapy (previous and
concomitant) with rhGH and the cognitive function (mainly, the IQ).
Description:
Methods Thirty adults affected by clinically diagnosed and genetically confirmed PWS are
recruited, regardless of the treatment (previous or concomitant) with rhGH (F/M = 15/15; age:
≥ 18 years; BMI > 35 kg/m2), hospitalized for a period of integrated multidisciplinary
metabolic rehabilitation at the Division of Auxology, Istituto Auxologico Italiano,
Piancavallo (VB), Italy.
After verifying the inclusion criteria, clinical and anthropometric data will be collected,
including the evaluation of body composition with bioimpedance analysis. Cognitive function
will be assessed with a psychometric scale (Wechsler Adult Intelligence Scale).
Blood samples will be taken from each patient upon admission to the hospital (T0) and after 3
weeks of rehabilitation hospitalization (at the same time to reduce circadian variability)
for the determination of the basal glycometabolic profile (glucose, insulin, HOMA-IR,
glycated Hb , triglycerides, total cholesterol, LDL, HDL, and hsPCR), as well as circulating
levels of leptin, IL-6, and TNF-α.
The samples taken will be used for DNA extraction. DNA methylation will be performed by
treatment with sodium bisulphite and PCR-Pyrosequencing.
Biological age measurement Biological (epigenetic) age will be measured using the two
algorithms of Zbiec-Piekarska (9) and Daunay (10), based on the level of DNA methylation in
specific gene loci. To have an estimate of the epigenetic (biological) age that is
independent of the chronological age, we will use a measure defined as age acceleration, from
which, with statistical inference, we will calculate the age acceleration. To calculate it, a
linear regression model with the chronological age as the independent variable and the
epigenetic age as the dependent variable will be applied; the difference between the observed
value and the one predicted by the model will constitute the age acceleration due to
epigenetic effects. In the event that the epigenetic age is greater than the chronological
age, the age acceleration will have a positive value expressed in years, negative if vice
versa.