
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
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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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