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Related Experiment Video

Updated: Jun 5, 2026

Rapid Model to Evaluate the Anti-Obesity Potential of a Combination of Syzygium aromaticum (Clove) and Cuminun cyminum (Cumin) on C57BL6/j Mice Fed High-Fat Diet

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A common CNR1 (cannabinoid receptor 1) haplotype attenuates the decrease in HDL cholesterol that typically

Qiping Feng¹, Lan Jiang, Richard L Berg

¹Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.

|January 7, 2011

Summary

Genetic variations in the CNR1 gene influence lipid levels in obese individuals. A specific CNR1 haplotype (H3) shows a protective effect against obesity-related dyslipidemia, impacting triglyceride and HDL cholesterol levels.

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Area of Science:

Genetics
Metabolic Disorders
Cardiovascular Health

Background:

Genetic variability in CNR1 is linked to dyslipidemia.
Previous studies focused on multigenerational cohorts of Northern European descent.

Purpose of the Study:

To investigate the impact of CNR1 gene variability on dyslipidemia in a community-based cohort of severely obese individuals.
To assess the association between CNR1 haplotypes and clinical lipid profiles.

Main Methods:

Genotyping of 22 haplotype tagging SNPs across the CNR1 locus in 645 morbidly obese subjects.
Association testing with fasting triglyceride (TG) and HDL cholesterol (HDL-C) levels.
Statistical adjustment for age, gender, BMI, diet, and physical activity.

Main Results:

A common CNR1 haplotype (H3) was significantly associated with fasting TG and HDL-C levels (p=0.031 for logTG; p=0.038 for HDL-C).
The association remained significant after adjusting for clinical and lifestyle factors.
Individuals with two copies of the H3 haplotype showed lower TG levels and higher HDL-C levels compared to those with zero copies.

Conclusions:

The H3 CNR1 haplotype demonstrates a protective effect against the development of obesity-related dyslipidemia.
CNR1 genetic variability plays a role in lipid metabolism in severely obese populations.
This finding supports the potential for genotype-based interventions in managing dyslipidemia.