Allele frequencies of +874T-->A single nucleotide polymorphism at the first intron of interferon-gamma gene in a group of Italian centenarians.

Ageing is characterized by a pro-inflammatory status which could contribute to the onset of major age-related diseases such as cardiovascular diseases, neurodegeneration, osteoarthritis and osteoporosis, and diabetes. Thus, it can be hypothesized that genetic variations in pro- or anti-inflammatory cytokines might influence successful ageing and longevity. We have studied the distribution of +874T-->A interferon-gamma (IFN-gamma) polymorphisms in a large number of Italian centenarians to evaluate if the two alleles might be differently represented in people selected for longevity. DNA samples were obtained from 174 Italian centenarians (>99 years old, 142 women and 32 men) and from 248 <60-year-old control subjects (90 women and 158 men) matched for geographical distribution. Polymorphisms at +874 were identified by using amplification refractory mutational system methodology. The +874T allele was found less frequently in centenarian women than in centenarian men or in control women whereas no significant differences were observed in the distribution of the two alleles between male or female controls. Allele frequencies in centenarian men were not found significantly different from male controls. Possession of the +874A allele, known to be associated with low IFN-gamma production, significantly increases the possibility to achieve extended longevity, suggesting that the pro-inflammatory status characteristic of ageing may be detrimental for successful ageing. The datum that the allele was significantly increased in female but not male centenarians seems to strengthen the idea that gender may be a major variable in the biology of the ageing process. However, the present data add another piece of evidence to the complex puzzle of genetic and environmental factors involved in controlling life span expectancy in humans. Thus, studies on cytokine gene polymorphisms may promise to individuate a complex network of trans-interactive genes able to influence the type and strength of responses to environmental stressors and as a final result, thereby conditioning individual life expectancy.