With the current treatment for obesity, data suggests that a patient responses vary widely to weight-loss intervention. Classifying a disease based on pathophysiologic changes leads to a targeted treatment approach that can maximize outcomes in response to interventions. The four phenotypes we have identified take into consideration homeostatic food intake, hedonic eating, and energy expenditure.
Trial-and-error approach to individualized precision medicine for obesity approach. We are integrating the current knowledge on obesity pathophysiology and existing data accounting for the variability of factors - both internal and external - that impact obesity.
Precision medicine is the model of personalized preventive, diagnostic, and therapeutic procedures that strive to improve disease stratification and increase treatment efficacy by considering individual variability.
There are many commercial companies that offer DNA testing which explains factors about genetics, like the traits inherited from parents. This information is helpful in understanding what has leads to an individuals obesity; however, it doesn't help one understand how to best treat it based on one's unique characteristics.
Additionally, Microbiome tests are readily available. These tests focus on the bacteria in the stomach and how carbohydrates are converted to glucose. This information is particularly useful for diabetics and diabetes prevention.
MyPhenomeTM test is the only test that looks at all multiple layers causing obesity - genetics, metabolism, hormones, and many other factors to tailor treatment and drive meaningful weight loss.