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During a lecture at the 2024 International Congress on Obesity in São Paulo, Brazil, Dr. Carel Le Roux, a South African researcher, reflected on the Stratification of Obesity Phenotypes to Optimize Future Therapy (SOPHIA) project. The effort, of which Dr. Le Roux is a leader, involves using federated data and reframing obesity as a set of diseases, each with its own peculiarities and treatment needs.
A collaborative research initiative led by the European Union, the SOPHIA project is a public-private partnership that brings together healthcare professionals, universities, industry leaders, and patient organizations to rethink how we understand and treat obesity, considering factors beyond body mass index (BMI).
“We need to ask ourselves, ‘Is obesity a disease? Or, in fact, does ‘obesity’ refer to multiple diseases that lead to excess adipose tissue?’ ” Dr. Le Roux asked at the beginning of his presentation.
The researcher, who is also the director of the Obesity and Metabolic Medicine Group, stated that obesity can no longer be seen as a single homogeneous pathology but rather should be viewed as clinical conditions affecting various subpopulations that respond differently to treatments.
Patients are currently diagnosed with obesity based on BMI value or waist measurement, as recommended by current clinical guidelines, but this method contributes to treating obesity subtypes as if they were identical.
“By taking into account the patient’s specificities, we can identify individuals who are likely to progress rapidly with the disease and those who will respond well to targeted interventions,” said Dr. Le Roux, emphasizing that this approach also contributes to reducing public health system costs.
Researchers proposed creating a map that allows the visualization of the distinct characteristics of patients with obesity, such as the presence of associated diseases like hypertension and diabetes. One of the main challenges of the project was finding a way to share sensitive data among SOPHIA partners without compromising individual privacy. The solution was the creation of a federated database.
In practice, this system allows academic and industry partners to send data to a central server, which keeps them protected. “We wanted to reach the optimal point, where we can have maximum utility and maximum privacy protection using technology. Researchers can then obtain statistics, enabling the analysis of large data sets without compromising security,” Dr. Le Roux explained.
Most patients analyzed in the project fall into the main group, where “the higher the weight, the greater the risk” for associated diseases, he added. However, the project allows for specifically visualizing patients with alterations related to high blood pressure, liver function, lipid profile, blood glucose, and inflammation.
“Subclassifying diseases helps us better understand the various mechanisms by which these pathologies arise and why some individuals exhibit unexpected phenotypic patterns of increased susceptibility or resilience. For example, patients with inflammation changes have a much higher risk for developing type 2 diabetes, rheumatoid arthritis, and liver failure,” said Dr. Le Roux.
In addition to visualizing the associated diseases of each participant, SOPHIA, in which 30 partners in Europe, the Middle East, and the United States participate, also features treatment overlap, which allows researchers to track individual responses to the treatment.
“With this overlap, we confirm something that many know: When treating people with type 2 diabetes, whether through lifestyle changes, medication, or surgery, weight loss is lower. But, to our surprise, we found that patients with inflammation-related changes had greater weight loss. This finding tells us that some groups benefit more, and others less,” said Dr. Le Roux.
This analysis is particularly interesting when it comes to bariatric surgery, he continued. “Often, the surgeon performs an incredibly well-done gastric bypass, and the response is not as expected. In this case, we can say that it is purely biology,” said Dr. Le Roux, who concluded the presentation by discussing the benefits of this approach for good patient counseling.
“When we talk about ‘obesities’ and not ‘obesity,’ we can also conduct our consultations more carefully by explaining to our patients that if they do not respond to treatment, it is not their fault, not because they did something wrong, but because of something that is not usually taken into account, such as the presence of comorbidities, or even personal characteristics and lifestyle, such as age and smoking,” said Dr. Le Roux.
This story was translated from the Medscape Portuguese edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
During a lecture at the 2024 International Congress on Obesity in São Paulo, Brazil, Dr. Carel Le Roux, a South African researcher, reflected on the Stratification of Obesity Phenotypes to Optimize Future Therapy (SOPHIA) project. The effort, of which Dr. Le Roux is a leader, involves using federated data and reframing obesity as a set of diseases, each with its own peculiarities and treatment needs.
A collaborative research initiative led by the European Union, the SOPHIA project is a public-private partnership that brings together healthcare professionals, universities, industry leaders, and patient organizations to rethink how we understand and treat obesity, considering factors beyond body mass index (BMI).
“We need to ask ourselves, ‘Is obesity a disease? Or, in fact, does ‘obesity’ refer to multiple diseases that lead to excess adipose tissue?’ ” Dr. Le Roux asked at the beginning of his presentation.
The researcher, who is also the director of the Obesity and Metabolic Medicine Group, stated that obesity can no longer be seen as a single homogeneous pathology but rather should be viewed as clinical conditions affecting various subpopulations that respond differently to treatments.
Patients are currently diagnosed with obesity based on BMI value or waist measurement, as recommended by current clinical guidelines, but this method contributes to treating obesity subtypes as if they were identical.
“By taking into account the patient’s specificities, we can identify individuals who are likely to progress rapidly with the disease and those who will respond well to targeted interventions,” said Dr. Le Roux, emphasizing that this approach also contributes to reducing public health system costs.
Researchers proposed creating a map that allows the visualization of the distinct characteristics of patients with obesity, such as the presence of associated diseases like hypertension and diabetes. One of the main challenges of the project was finding a way to share sensitive data among SOPHIA partners without compromising individual privacy. The solution was the creation of a federated database.
In practice, this system allows academic and industry partners to send data to a central server, which keeps them protected. “We wanted to reach the optimal point, where we can have maximum utility and maximum privacy protection using technology. Researchers can then obtain statistics, enabling the analysis of large data sets without compromising security,” Dr. Le Roux explained.
Most patients analyzed in the project fall into the main group, where “the higher the weight, the greater the risk” for associated diseases, he added. However, the project allows for specifically visualizing patients with alterations related to high blood pressure, liver function, lipid profile, blood glucose, and inflammation.
“Subclassifying diseases helps us better understand the various mechanisms by which these pathologies arise and why some individuals exhibit unexpected phenotypic patterns of increased susceptibility or resilience. For example, patients with inflammation changes have a much higher risk for developing type 2 diabetes, rheumatoid arthritis, and liver failure,” said Dr. Le Roux.
In addition to visualizing the associated diseases of each participant, SOPHIA, in which 30 partners in Europe, the Middle East, and the United States participate, also features treatment overlap, which allows researchers to track individual responses to the treatment.
“With this overlap, we confirm something that many know: When treating people with type 2 diabetes, whether through lifestyle changes, medication, or surgery, weight loss is lower. But, to our surprise, we found that patients with inflammation-related changes had greater weight loss. This finding tells us that some groups benefit more, and others less,” said Dr. Le Roux.
This analysis is particularly interesting when it comes to bariatric surgery, he continued. “Often, the surgeon performs an incredibly well-done gastric bypass, and the response is not as expected. In this case, we can say that it is purely biology,” said Dr. Le Roux, who concluded the presentation by discussing the benefits of this approach for good patient counseling.
“When we talk about ‘obesities’ and not ‘obesity,’ we can also conduct our consultations more carefully by explaining to our patients that if they do not respond to treatment, it is not their fault, not because they did something wrong, but because of something that is not usually taken into account, such as the presence of comorbidities, or even personal characteristics and lifestyle, such as age and smoking,” said Dr. Le Roux.
This story was translated from the Medscape Portuguese edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
During a lecture at the 2024 International Congress on Obesity in São Paulo, Brazil, Dr. Carel Le Roux, a South African researcher, reflected on the Stratification of Obesity Phenotypes to Optimize Future Therapy (SOPHIA) project. The effort, of which Dr. Le Roux is a leader, involves using federated data and reframing obesity as a set of diseases, each with its own peculiarities and treatment needs.
A collaborative research initiative led by the European Union, the SOPHIA project is a public-private partnership that brings together healthcare professionals, universities, industry leaders, and patient organizations to rethink how we understand and treat obesity, considering factors beyond body mass index (BMI).
“We need to ask ourselves, ‘Is obesity a disease? Or, in fact, does ‘obesity’ refer to multiple diseases that lead to excess adipose tissue?’ ” Dr. Le Roux asked at the beginning of his presentation.
The researcher, who is also the director of the Obesity and Metabolic Medicine Group, stated that obesity can no longer be seen as a single homogeneous pathology but rather should be viewed as clinical conditions affecting various subpopulations that respond differently to treatments.
Patients are currently diagnosed with obesity based on BMI value or waist measurement, as recommended by current clinical guidelines, but this method contributes to treating obesity subtypes as if they were identical.
“By taking into account the patient’s specificities, we can identify individuals who are likely to progress rapidly with the disease and those who will respond well to targeted interventions,” said Dr. Le Roux, emphasizing that this approach also contributes to reducing public health system costs.
Researchers proposed creating a map that allows the visualization of the distinct characteristics of patients with obesity, such as the presence of associated diseases like hypertension and diabetes. One of the main challenges of the project was finding a way to share sensitive data among SOPHIA partners without compromising individual privacy. The solution was the creation of a federated database.
In practice, this system allows academic and industry partners to send data to a central server, which keeps them protected. “We wanted to reach the optimal point, where we can have maximum utility and maximum privacy protection using technology. Researchers can then obtain statistics, enabling the analysis of large data sets without compromising security,” Dr. Le Roux explained.
Most patients analyzed in the project fall into the main group, where “the higher the weight, the greater the risk” for associated diseases, he added. However, the project allows for specifically visualizing patients with alterations related to high blood pressure, liver function, lipid profile, blood glucose, and inflammation.
“Subclassifying diseases helps us better understand the various mechanisms by which these pathologies arise and why some individuals exhibit unexpected phenotypic patterns of increased susceptibility or resilience. For example, patients with inflammation changes have a much higher risk for developing type 2 diabetes, rheumatoid arthritis, and liver failure,” said Dr. Le Roux.
In addition to visualizing the associated diseases of each participant, SOPHIA, in which 30 partners in Europe, the Middle East, and the United States participate, also features treatment overlap, which allows researchers to track individual responses to the treatment.
“With this overlap, we confirm something that many know: When treating people with type 2 diabetes, whether through lifestyle changes, medication, or surgery, weight loss is lower. But, to our surprise, we found that patients with inflammation-related changes had greater weight loss. This finding tells us that some groups benefit more, and others less,” said Dr. Le Roux.
This analysis is particularly interesting when it comes to bariatric surgery, he continued. “Often, the surgeon performs an incredibly well-done gastric bypass, and the response is not as expected. In this case, we can say that it is purely biology,” said Dr. Le Roux, who concluded the presentation by discussing the benefits of this approach for good patient counseling.
“When we talk about ‘obesities’ and not ‘obesity,’ we can also conduct our consultations more carefully by explaining to our patients that if they do not respond to treatment, it is not their fault, not because they did something wrong, but because of something that is not usually taken into account, such as the presence of comorbidities, or even personal characteristics and lifestyle, such as age and smoking,” said Dr. Le Roux.
This story was translated from the Medscape Portuguese edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.