The 'Slow Burn' Phenotype: How Relative Caloric Intake Reveals Hidden Cardiovascular Risk Beyond BMI
Yongin Cho1, Jong Hyun Jhee2, Jong Ho Jhee3
1Department of Endocrinology and Metabolism, Inha University School of Medicine, Incheon, Republic of Korea.
The "Slow Burn" phenotype, characterized by lower-than-expected calorie intake relative to body mass index (BMI), is linked to increased cardiovascular risk. This finding suggests BMI alone is insufficient for accurate cardiovascular risk assessment.
Area of Science:
- Cardiology
- Metabolic Health
- Biostatistics
Background:
- Body mass index (BMI) is a common but limited metric for assessing cardiovascular (CV) risk.
- Individual metabolic responses and energy balance vary significantly, leading to heterogeneity in CV risk not captured by BMI alone.
Purpose of the Study:
- To investigate a 'Slow Burn' phenotype, defined by lower-than-expected energy intake relative to BMI, age, and sex.
- To determine if this phenotype is associated with elevated cardiovascular risk across different BMI categories.
Main Methods:
- Analysis of 160,905 White/European participants from the UK Biobank.
- Categorization of relative caloric intake into low (LI; 'Slow Burn'), normal (NI), and high (HI) groups based on residuals from a predictive model.
- Definition of nine phenotypes combining intake groups with BMI categories (normal weight, overweight, obese) to assess 3-point major adverse cardiovascular events (3P-MACE).
Main Results:
- The LI phenotype showed a higher risk of 3P-MACE and myocardial infarction (MI) compared to the NI group.
- The Normal-Weight LI (NW-LI) phenotype exhibited increased 3P-MACE risk, with low muscle strength mediating a portion of this excess risk.
- NW-LI participants were more likely to experience future weight gain compared to their NI counterparts.
Conclusions:
- The 'Slow Burn' phenotype identifies individuals at increased cardiovascular risk, independent of their BMI.
- These findings underscore the limitations of BMI-based risk stratification and advocate for incorporating energy balance and functional status into risk assessment strategies.
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