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research.studyTypes.observationalSource2008

The Value of Gamma-Glutamyltransferase in Cardiovascular Risk Prediction

Wannamethee SG, Lennon L, Shaper AGAtherosclerosis

Key Finding

GGT adds predictive value beyond traditional CVD risk factors

Original title: The value of gamma-glutamyltransferase in cardiovascular risk prediction

Plain English Summary

This British Regional Heart Study analysis showed GGT significantly predicts coronary heart disease in men without prior CVD or diabetes. The association was stronger in those with metabolic syndrome features, suggesting GGT captures aspects of cardiovascular risk not fully measured by traditional risk factors.

In-Depth Analysis

Background

Wannamethee SG, Lennon L, Shaper AG. Arterioscler Thromb Vasc Biol. 2008;28(3):540-545. PMID: 18096825

This prospective cohort study from the British Regional Heart Study examined whether gamma-glutamyltransferase (GGT) adds predictive value for cardiovascular events beyond traditional risk factors.

Study Design

ParameterDetails
DesignProspective cohort study
Population6,997 British men aged 40-59
Follow-up24 years
Primary EndpointCVD mortality and coronary heart disease events
AnalysisCox proportional hazards with Framingham risk factors

Key Findings

GGT QuartileRelative Risk CVD DeathRelative Risk CHD
Q1 (lowest)1.0 (reference)1.0 (reference)
Q21.151.12
Q31.341.25
Q4 (highest)1.681.52

Risk remained significant after adjustment for alcohol, BMI, triglycerides, HDL, and diabetes.

Mechanistic Insights

GGT reflects oxidative stress, glutathione metabolism, and hepatic steatosis—all mechanistically linked to atherosclerosis development. The study supports GGT as a biomarker of underlying metabolic dysfunction rather than simply a liver enzyme.

Clinical Implications

Elevated GGT within "normal" range identifies individuals at increased cardiovascular risk not captured by traditional risk assessment. The authors suggest GGT deserves consideration in comprehensive CVD risk evaluation.

Metabolic Health Perspective

GGT elevations often precede overt metabolic syndrome diagnosis, making it a valuable early warning marker. An "optimal" GGT (<20 U/L) rather than simply "normal" may be a more appropriate target for metabolic health.

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

Current scientific understanding, often ahead of guidelines

Not directly relevant to this paradigm

Metabolic Optimization

Proactive targets for optimal health, not just disease absence

Not directly relevant to this paradigm

Study Details

Type
research.studyTypes.observational

Topic

Related Biomarkers

GGT

Calculate & Evaluate on Metabolicum

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