Researchers have developed a genetic test that helps in predicting people’s response to weight loss. The results are a promising step towards more specialized and effective treatments for obese people.
The test is estimated at the calories needed for satiety, that is, the amount of food that a person needs to feel full, and connects this biological feature successfully.
The study was conducted by researchers from Mayolink in the United States, and their results were published in the Metolzim Miles Magazine on August 5, and the Yorik Alert website was written about.
“Patients deserve treatments that take into account their biological properties, not just the size of their bodies. This test helps us to prescribe the appropriate drug for the right person from the beginning,” says Andres Acosta, a doctor who has a PhD, and a gastroenterologist in Mayo Clinic and co -author of the study.
Beyond the size of the body
Obesity is caused by a mixture of genetic, environmental and behavioral factors that differ from person to person, this complexity helps explain the difference in people’s response to weight loss interventions.
To reveal these operations, Dr. Acosta focused on satiety, which is the physiological sign that tells the body that it is eating enough food.
Some people with obesity tend to eat very large meals, while others may eat medium stakes, but they eat frequently snacks throughout the day.
In this study, the researchers studied satiety in approximately 800 adults with obesity by inviting them to eat an open meal of lasagna, candy and milk until they feel full.
Genes say her word
The results revealed a noticeable variation, as some participants stopped after 140 calories, while others consumed more than 2000 calories. On average, men consumed more calories than women.
The team’s search in possible explanations for this contrast, and played several factors, including body weight, height, body fat, and waist to hip, and age – in addition to hormones associated with appetite such as ghrelin and two lobes – a small role.
However, none of them explained the massive contrast in calories, so the researchers resorted to genetics.
Using machine learning, researchers collected the variables in 10 genes known for their effect on eating on one scale called the degree of genetic risk of calories to satiety (Calories to satiation generic risk score).
This degree, calculated from a blood sample or saliva, provides a personal estimate of the expected satiety threshold for the person.
Genetics interaction with medications
The Mayo Clinic researchers calculated the degree of genetic risk of calories to satiety in the clinical trials of two accredited food and drug administration are the first-generation weight-lowering medication called Phentermine-Topiramate and the most newer drug “GLP1”, which is the Lyriglo “Saksanda” (Saxenda).
The researchers found that people with a high full threshold lost more weight when using Vinteremin-Toberamite. This medicine may help control the size of the classes and reduce excessive eating during large meals.
As for people with a low full threshold, they better responded to the turllaride, this medicine may reduce hunger in general and repeat food.
“Using a single genetic test, we can predict the most likely to succeed with two different drugs. This means more effective care and better results for patients,” says Dr. Acosta.