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Clinical Significance of NAT2 Genetic Variations in Type II Diabetes Mellitus and Lipid Regulation

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Publisher Dove Medical Press
Date 2023 Sep 19
PMID 37724295
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Abstract

Background: N-acetyltransferase 2 (NAT2) enzyme is a Phase II drug-metabolizing enzyme that metabolizes different compounds. Genetic variations in can influence the enzyme's activity and potentially lead to the development of certain diseases.

Aim: This study aimed to investigate the association of variants with the risk of Type II diabetes mellitus (T2DM) and the lipid profile among Jordanian patients.

Methods: We sequenced the whole protein-coding region in using Sanger's method among a sample of 45 Jordanian T2DM patients and 50 control subjects. Moreover, we analyzed the lipid profiles of the patients and examined any potential associations with variants.

Results: This study revealed that the heterozygous genotype is significantly ( = 0.03) more common among T2DM (44%) than non-T2DM subjects (23.5%). Furthermore, the frequency of homozygous genotype was found to be significantly higher ( = 0.03) among T2DM patients (26.7%) compared to that of non-T2DM subjects (11%). The heterozygous genotype was exclusively observed in T2DM patients (11.1%) and absent in the control non-T2DM group. Moreover, among T2DM patients, those with a homozygous T/T genotype exhibited significantly higher levels of triglycerides (381.50 ± 9.19 ng/dL) with a value of 0.01 compared to those with heterozygous C/T (136.23 ± 51.12 ng/dL) or wild-type C/C (193.65 ± 109.89 ng/dL) genotypes. T2DM patients with homozygous G/G genotype had a significantly ( = 0.04) higher triglyceride levels (275.67 ± 183.42 ng/dL) than the heterozygous (140.02 ± 49.53 ng/dL) and the wild (193.65 ± 109.89 ng/dL).

Conclusion: The finding in this study suggests that the gene is a potential biomarker for the development of T2DM and changes in triglyceride levels among Jordanians. However, it is important to note that our sample size was limited; therefore, further clinical studies with a larger cohort are necessary to validate these findings.

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