Phenotyping As a Solution to Optimizing GLP-1 Weight Loss Drug Results

Phenotyping As a Solution to Optimizing GLP-1 Weight Loss Drug Results

The issue:

Obesity, defined as a BMI of 30 or higher, is a serious disease that affects more than 40% of adults in the U.S and is a contributing risk factor to numerous chronic conditions often resulting in high medical costs. While the first GLP-1 drug to facilitate weight-loss was introduced in 2014 under the brand name of Saxenda, it wasn’t until 2021 and 2023 with the launch of Wegovy and Zepbound respectively that people began to seek pharmacological agents to augment their weight loss journey. Recent data shows that only 25% of people taking these drugs remain on them after two years, largely due to costs, side effects, or sub-optimal results.

A possible solution:

Phenotyping is a way to classify obesity based on biological mechanisms. This information helps determine which patients will respond optimally to GLP-1 weight loss drugs.  Dr. Andres Acosta, a leader in obesity phenotyping research at Mayo Clinic, has developed a scientific approach to classify obesity into four phenotypes:

  • Hungry Brain is an individual who is unable to experience satiation or lacks the off switch that the body is full.
  • Hungry Gut is an individual who feels full shortly after eating but then gets hungry soon after and experiences cycles of eating and not eating.
  • Emotional Hunger is when a person eats as a result of positive or negative emotions. High levels of cravings, anxiety and depression are experienced.
  • Slow Burn refers to people with a slow or lower than normal metabolism and characterized by low muscle mass and abnormal metabolite rate.

The testing process begins with a saliva test kit ordered from Phenomix Sciences by the treating physician. The results take 3 to 5 weeks and are returned to the treating physician to guide them on which of the four phenotypes their patient has pinpointing specifically what is driving their patient’s weight but more importantly, identifying if the patient will likely see results from a GLP-1 weight loss drug. This personalized scientific approach enables more effective treatments and informed medical decisions to be made based on the patient’s dominant obesity phenotype (Graph1 below).

What it means for your company:

Employers considering coverage for these drugs should understand the role of genetic predisposition in weight loss outcomes. Weight-loss solutions that are specifically tied to an individual’s phenotype and genetic makeup can increase their weight loss compared to more conventional methods.

How we can help: 

If you are considering adding GLP-1 weight loss drug coverage to your pharmacy plan, Optimatum offers a comprehensive analysis of key metrics to help you understand the financial impact of this offering.

ABOUT OPTIMATUM:

Optimatum is a vendor management firm that focuses exclusively on the HR supply chain, including Employer Sponsored Healthcare, Retirement and HR Systems vendors. Our turnkey solutions improve the financial, operating performance, transparency and accountability of HR Benefit programs while still maintaining existing vendor relationships.

Our support of the HR workstream during the M&A lifecycle encompasses operational due diligence, day-one readiness and post day-one synergies.

As your Operating Partner for HR OperationsTM we assist sponsors in leveraging the aggregate purchasing power of their portfolio to capture value and drive margin expansion.

Disclaimer
Optimatum has no financial interests or relationship with Phenomics Sciences that could be perceived as a conflict of interest.

Sources:

  1. CDC (2024) Adult Obesity Facts

  2. Phenomix Sciences Clinical Studies

  3. Pajot, G., Camilleri, M., Calderon, G. et al.Association between gastrointestinal phenotypes and weight gain in younger adults: a prospective 4-year cohort study. Int J Obes 44, 2472–2478 (2020). https://doi.org/10.1038/s41366-020-0593-8

  4. Acosta A, Camilleri M, Shin A, Vazquez-Roque MI, Iturrino J, Burton D, O’Neill J, Eckert D, Zinsmeister AR. Quantitative gastrointestinal and psychological traits associated with obesity and response to weight-loss therapy. 2015 Mar;148(3):537-546.e4. doi: 10.1053/j.gastro.2014.11.020. Epub 2014 Dec 6. PMID: 25486131; PMCID: PMC4339485.

  5. Acosta A, Abu Dayyeh BK, Port JD, Camilleri M. Recent advances in clinical practice challenges and opportunities in the management of obesity. Gut. 2014;63:687–95.

  6. Acosta, A., Camilleri, M., Abu Dayyeh, B., Calderon, G., Gonzalez, D., McRae, A., Rossini, W., Singh, S., Burton, D. and Clark, M.M. (2021), Selection of Antiobesity Medications Based on Phenotypes Enhances Weight Loss: A Pragmatic Trial in an Obesity Clinic. Obesity, 29: 662-671. https://doi.org/10.1002/oby.23120

  7. Singh, S., Ricardo-Silgado, M.L., Bielinski, S.J. and Acosta, A. (2021), Pharmacogenomics of Medication-Induced Weight Gain and Antiobesity Medications. Obesity, 29: 265-273. https://doi.org/10.1002/oby.23068