Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04740528 |
Other study ID # |
FTO |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
August 1, 2020 |
Est. completion date |
November 30, 2020 |
Study information
Verified date |
February 2021 |
Source |
Universitas Diponegoro |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
The concept personalized gene-based nutrition combines genetic information with specific
dietary intake that is crucial in managing obesity. Obesity experienced by adult women is
generally caused by inapproriate diet and sedentary lifestyle. Variations in the fat mass and
obesity-related gene (FTO) has been linked with susceptibility to obesity, but diet seems to
change the relationship. A single nucleotide polymorphism (SNP) in the fat mass and
obesity-associated gene (FTO) is a potent predictor of human obesity. Higher protein diets
were more appropriate than standard protein diets, and frequently recommended as a weight
loss plan as it prevents the loss of lean tissue mass. Nevertheless, high intakes of proteins
may adversely affect metabolic functions. Multi studies have explored associated FTO
polymorphisms with obesity in different populations. However, the contribution of the FTO
common variants to obesity is controversial in Asian people, some studies showed rs1558902
was statistically associated with BMI, but other results reported FTO gene is not
statistically associated with obesity. Given the diversity of Asian populations, the
investigators generated a hypothesis whether relations between preference protein intake and
FTO rs1558902 gene polymorphism exist in selected Indonesian obesity women
Description:
The sample size was calculated based on the difference in the proportion of variation of the
gene FTO rs1558902 allele A between obese participants, which previous study estimated to be
approximately 6% for populations from Malaysia. Using a power of 80% and a level of
significance of 5%, the investigators required 100 obese participants.
BMI and body fat which were assessed by SECA body analyzer (SECA 201). Blood samples were
collected after a 12-h minimum fast by Prodia Laboratory for DNA isolation and biochemical
analysis