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The association of the blood lead level and serum lipid concentrations may be modified by the genetic combination of the metallothionein 2A polymorphisms rs10636 GC and rs28366003 AA.

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BACKGROUND Lead in blood can stimulate lipid oxidation in phosphatidylcholine and increase peroxidation in lipids. Metallothionein (MT) is a cysteine-rich protein that can influence the detoxification of heavy metals and… Click to show full abstract

BACKGROUND Lead in blood can stimulate lipid oxidation in phosphatidylcholine and increase peroxidation in lipids. Metallothionein (MT) is a cysteine-rich protein that can influence the detoxification of heavy metals and scavenge oxidative stress for free radicals. One of the most expressive functional genes in humans is the MT2A gene. OBJECTIVE This study aims to determine if the association of the blood lead level and lipid biomarkers was influenced by MT2A polymorphisms. METHODS We recruited 677 participants after informed consent was obtained. All the samples collected were analyzed for lipid biomarkers and blood lead levels and were genotyped for MT2A polymorphisms by reverse transcription polymerase chain reaction. A short questionnaire collected the medical history and alcohol and cigarette consumption information. The data were used for descriptive analyses and linear regression models. RESULTS The investigation revealed that lead elevated concentration increased low-density lipoprotein cholesterol and decreased high-density lipoprotein cholesterol (HDL-C) by multiple linear models. The carriers of the rs10636 GC-rs28366003 AA genetic combination may be less susceptive to lead elevated concentration on HDL-C than other types. CONCLUSION In conclusion, the association of the blood lead level and HDL-C may be modified by the MT2A genetic combination: the rs10636 GC-rs28366003 AA genotype could play a protective role in lead elevated concentration on HDL-C in humans.

Keywords: lead level; blood; rs10636 rs28366003; genetic combination; blood lead; association blood

Journal Title: Journal of clinical lipidology
Year Published: 2017

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