ROLE OF THE CYP1A2 GENE POLYMORPHISM ON EARLY AGEING FROM OCCUPATIONAL EXPOSURE
Eshkoor SA1,2,*, Ismail P1, Rahman SA2, Moin S2, Adon MY3
*Corresponding Author: Dr. Sima A. Eshkoor, Institute of Gerontology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM), 43400, Malaysia; Tel.: +60-129-797-812; Fax: +60-389-472-744; E-mail: simaataolahi@yahoo.com
page: 45

RESULTS

The CYP1A2 gene polymorphism was amplified by PCR followed by the RFLP method using DdeI and BslI restriction enzymes. Using both restriction enzymes helped to fix the determination of the CYP1A2 gene polymor-phisms. Figures 1, 2 and 3 show the images of PCR and RFLP products of the CYP1A2 gene. The CYP1A2 gene polymorphism was amplified by PCR and the product was 596 bp (Figure 1). The RFLP products resulting from the DdeI enzyme digestion were the wild (WW) and mutant (WM, MM) genotypes. The size of the WW genotype was 596 bp; the fragment sizes for the heterozygous mutant (WM) genotypes were 596, 464 and 132 bp, and for homozygous mutant (MM) genotypes were 464 and 132 bp (Figure 2). The RFLP products after digestion with the BslI enzymes were MM (475 and 121 bp), MW (475, 343, 132 and 121 bp) and WW (343, 132 and 121 bp) genotypes (Figure 3). The RFLP products of CYP1A2 using the DdeI enzyme digestion were referred as the wild and mutated genotypes. The WW genotype was placed in the wild group and WM and MM were in the mutated group. The respective frequencies of the WW, WM and MM genotypes were 49.2, 46.3 and 4.6% in all individuals. Furthermore, the results showed that the gene polymorphism did not significantly influence (p >0.05) the individual biomarkers (Table 1). Differences in biomarkers between workers and controls was evaluated in wild (WW) and mutated (WM and MM) genotypes. It was found that difference in MN frequency between workers and controls was statistically significant in both wild (p = 0.001) and mutated (p = 0.001) genotypes. In addition, the results showed that the mutated genotype significantly affected the relative telo-mere lengths (p = 0.002) in workers. No statistically significant effect on comet tail length (p >0.05) was found in wild or mutated genotypes (Table 2). The results showed that the gene polymorphism had no significant effects on the biomarkers in workers and control groups below 30 years old or above. However, the wild genotype significantly affected comet tail length in workers below 30 years of age (p = 0.047) (Table 3). The findings of socio-demographic factors indicated that ethnicity had a significant effect on MN frequency (p = 0.004). Furthermore, duration time of 5 years or more significantly affected MN frequency (p = 0.001), comet tail length (p = 0.001) and relative telomere length (p = 0.001). It was found that smoking, alcohol consumption and educational levels showed no statistically significant effect on each of the biomarkers (p >0.05).



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