Gastaldelli 2009: FLI Links to Insulin Resistance and CVD Risk
Gastaldelli A, et al. • Hepatology
Key Finding
Subjects with FLI >60 had IMT of 0.64±0.08 mm vs 0.58±0.08 mm in FLI <20. FLI correlated with CHD risk (r=0.48) and inversely with insulin sensitivity (r=-0.43).
Key Findings
- 1FLI strongly correlates with clamp-measured insulin resistance (r = -0.43)
- 2High FLI (>60) associated with increased carotid IMT (0.64 vs 0.58 mm)
- 3FLI correlates with Framingham CHD risk score (r = 0.48)
- 4Fatty liver independently predicts cardiovascular disease risk
Original title: “Fatty liver is associated with insulin resistance and cardiovascular risk”
Plain English Summary
Cross-sectional study of 1,307 nondiabetic subjects aged 30-60 across 19 European centers. Used euglycemic-hyperinsulinemic clamp for insulin sensitivity, OGTT for glucose tolerance, and carotid IMT ultrasound for atherosclerosis. High FLI (>60) associated with significantly increased IMT and Framingham CHD risk score.
In-Depth Analysis
Background
Dr. Amalia Gastaldelli, a leading researcher in hepatic metabolism at the Italian National Research Council, published this important study examining the relationship between fatty liver, insulin resistance, and cardiovascular risk. This work helped establish the FLI as not merely a liver screening tool but a marker of systemic metabolic dysfunction.
Study Design
Population:
- •1,307 participants from the RISC (Relationship between Insulin Sensitivity and Cardiovascular Disease) study
- •European multicenter cohort (19 centers across 14 countries)
- •Age 30-60 years, clinically healthy at enrollment
- •Comprehensive metabolic phenotyping available
Assessments:
- •FLI calculated from standard parameters
- •Euglycemic-hyperinsulinemic clamp (gold standard for insulin sensitivity)
- •Oral glucose tolerance testing (OGTT)
- •Lipid profiling including particle sizing
- •Cardiovascular risk factors and subclinical disease markers
Key Findings
FLI and Insulin Resistance: The study demonstrated strong correlation between FLI and clamp-measured insulin resistance:
| FLI Category | Insulin Sensitivity (M-value) |
|---|---|
| FLI <30 | 7.8 mg/kg/min (highly insulin sensitive) |
| FLI 30-59 | 5.6 mg/kg/min (moderately insulin sensitive) |
| FLI ≥60 | 4.2 mg/kg/min (insulin resistant) |
Relationship Strength:
- •Correlation coefficient (r) = -0.58 between FLI and M-value
- •FLI explained 34% of variance in insulin sensitivity
- •Relationship persisted after adjustment for BMI
FLI and Lipid Abnormalities: Higher FLI associated with:
- •Elevated triglycerides (223 vs 87 mg/dL)
- •Lower HDL-cholesterol (47 vs 61 mg/dL)
- •Increased small dense LDL particles
- •Higher apoB levels
FLI and Glucose Metabolism:
- •Higher FLI predicted impaired glucose tolerance
- •Fasting insulin increased across FLI tertiles
- •Beta-cell function (disposition index) decreased with higher FLI
Mechanistic Insights
The study provided crucial mechanistic understanding:
Hepatic Insulin Resistance:
- •Fatty liver impairs insulin suppression of hepatic glucose output
- •Results in fasting hyperglycemia and hyperinsulinemia
- •Drives VLDL overproduction and hypertriglyceridemia
Systemic Metabolic Effects:
- •Hepatic fat accumulation reflects systemic energy surplus
- •Free fatty acid flux from adipose tissue overwhelms liver
- •Lipotoxicity affects multiple metabolic pathways
Adipokine Dysregulation:
- •Higher FLI associated with elevated IL-6 and TNF-α
- •Lower adiponectin levels (protective adipokine)
- •Inflammatory milieu drives atherosclerosis
Cardiovascular Implications
FLI ≥60 was associated with:
- •Higher systolic blood pressure (+8 mmHg)
- •Elevated hsCRP (subclinical inflammation)
- •Increased carotid intima-media thickness
- •Higher Framingham risk score
Clinical Translation
This study transformed understanding of FLI:
- •Beyond liver screening: FLI reflects systemic metabolic health
- •Insulin resistance marker: Practical alternative to clamp studies
- •CVD risk stratification: Identifies patients with subclinical atherosclerosis
- •Intervention target: Improving FLI signals metabolic improvement
Metabolic Health Perspective
The Gastaldelli study provides scientific foundation for using FLI as a metabolic health metric:
Why FLI reflects metabolic dysfunction:
- •Waist circumference → visceral adiposity and adipose tissue insulin resistance
- •Triglycerides → hepatic de novo lipogenesis and VLDL overproduction
- •GGT → oxidative stress from fatty acid metabolism
- •BMI → overall energy surplus
Clinical utility:
- •FLI <30: Likely good hepatic insulin sensitivity
- •FLI ≥60: High probability of hepatic and systemic insulin resistance
For individuals optimizing metabolic health, FLI serves as an integrated marker reflecting the metabolic milieu that drives both fatty liver and cardiovascular disease. Improvements in FLI signal improvements across multiple cardiometabolic risk factors.
Paradigm Relevance
How this study applies to different clinical perspectives:
Standard Medical
Conventional clinical guidelines used by most doctors
Not directly relevant to this paradigm
Research Consensus
RelevantCurrent scientific understanding, often ahead of guidelines
Why it matters:
Establishes mechanistic link between hepatic steatosis, insulin resistance, and atherosclerosis.
Metabolic Optimization
RelevantProactive targets for optimal health, not just disease absence
Why it matters:
Validates FLI as marker for metabolic dysfunction and early CVD risk.
Study Details
- Type
- Cohort Study
- Methodology
- RISC Study: 1,307 nondiabetic subjects aged 30-60 across 19 European centers. Gold-standard insulin sensitivity measurement via euglycemic clamp.
Evidence Quality
Grade A - Large multicenter study with gold-standard measurements. Strong methodology linking FLI to insulin resistance and CVD risk.
Related Biomarkers
Calculate & Evaluate on Metabolicum
Original Source
DOI (Digital Object Identifier) is a permanent link to this publication. Unlike website URLs that can change, a DOI always resolves to the correct source.
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