Two-dimensional Health State Map to define metabolic health using separated static and dynamic homeostasis features:...

Area of Science:

• Metabolic Health
• Nutritional Science
• Biomarkers

Background:

• Accurate definition of metabolic health is crucial for reversing metabolic dysfunction.
• Fasting-based diagnostics may not fully capture metabolic adaptability under stress.
• A novel approach is needed to comprehensively assess metabolic resilience.

Purpose of the Study:

• To develop and validate a novel Health State Map (HSM) for defining metabolic health.
• To introduce a Homeostatic Resilience Score (HRS) that measures metabolic adaptivity post-macronutrient challenge.
• To evaluate the association of HRS with metabolic syndrome and other metabolic traits.

Main Methods:

• Constructed a Health State Map (HSM) with a Health Phenotype Score (HPS) and a Homeostatic Resilience Score (HRS).
• Collected five time-point data points (30, 60, 90, 180, 240 min) after a standardized mixed macronutrient tolerance test (MMTT).
• Analyzed data from 111 Chinese adults, assessing correlations between HPS, HRS, and metabolic syndrome prevalence.

Main Results:

• The HRS was significantly associated with metabolic syndrome prevalence, independent of HPS.
• HRS demonstrated the ability to discriminate metabolic characteristics not identified by HPS alone.
• Higher HRS correlated with better metabolic traits, physical activity, and specific gut microbiome structures.

Conclusions:

• The proposed Health State Map (HSM) model, particularly the HRS, offers a novel and precise method for defining metabolic health.
• HRS provides a more comprehensive assessment of metabolic adaptivity and resilience than fasting-based measures alone.
• This approach may enhance the understanding of individual nutritional capacity and metabolic status.