Multi-study feasibility analysis on a composite biomarker of inflammatory resilience to quantify the effects of energy restriction on low-grade inflammation in overweight and obese individuals

Purpose

Understanding how nutrition affects health in people with metabolic issues is difficult. We need sensitive tools to measure this. A new method called phenotypic flexibility helps us see how the body responds to challenges. A special biomarker has been useful in studying the health benefits of whole-grain wheat for overweight and obese individuals. We need to apply this method to other diets that can help reduce low-grade inflammation.

Methods

This study looked at a special biomarker by analyzing samples from two different energy restriction trials: Bellyfat and Nutritech. We examined inflammation levels before and after eating using various markers. We created four models of composite biomarkers based on how these markers responded after meals. We tested these models to see how well they could detect changes after 12 weeks of energy restriction.

Results

The basic composite biomarkers, which included IL-6, IL-8, IL-10, and TNF-α, did not show any significant effects in both trials. However, in the Nutritech study, the more advanced biomarkers showed strong responses to energy restriction (all P < 0.005). In these models, lower inflammation scores were linked to decreases in body mass index (BMI) and body fat percentage.

Conclusion

This study shows that using a composite biomarker of inflammatory resilience can effectively evaluate energy restriction interventions. More studies are needed to confirm these findings. Once validated, this biomarker could provide a new way to assess low-grade inflammation and the body’s adaptability to dietary changes.

Opportunities for Clinics and Patients

Based on the trial data, we can define measurable outcomes and set clear goals for using this biomarker in clinical settings. This will help in understanding how energy restriction impacts inflammation in overweight and obese patients.

Selecting AI Tools

Choose AI solutions that meet specific clinical needs to analyze the effects of energy restriction on inflammation. Tailored AI tools can enhance the assessment process.

Implementation Steps

Start with a pilot project to track results using AI solutions. This will help us understand the real-world impact of the findings from the multi-study analysis.