While the ability to manipulate the mouse genome has provided an indisputable link between resistin and insulin resistance, no humans that completely lack resistin have yet been identified. Nevertheless, several single nucleotide polymorphisms (SNPs) have been shown to correlate with increased circulating resistin levels, and it has been estimated that about 70% of resistin expression can be attributed to genetic effects.
41 Gene variants in the promoter region upstream of the
Retn gene appear to have the strongest effect. In a Japanese population, 3 promoter SNPs correlated with elevated resistin levels, and two of these (−638 G>A and −420 C>G) together drove increased resistin expression in an
in vitro transcription assay.
42 The G/G genotype at SNP −420 increased
Retn gene transcription through increased binding of the transcription factors Sp1 and Sp3,
43 and correlated with monocyte resistin expression as well as increased serum levels in large studies of over 200 Japanese subjects.
44, 45 The −420G allele, together with −537A>C, was also associated with increased resistin levels in a Korean population.
46The −420 C>G SNP associated with increased circulating resistin levels has been associated with type 2 diabetes in several studies of Asian populations. In addition to the Japanese studies described above,
42–45 the G/G genotype at −420 in a Chinese population correlated with the development of both worse glucose tolerance and hyperglycemia at five year follow-up.
47 Other SNPs at the
Retn locus did not significantly influence diabetes risk in Asian cohorts.
48Whereas the gene dosage of the −420G allele has been robustly correlated with resistin levels and diabetes risk in Asians, the data in non-Asian populations have been conflicting. A North American cohort of Caucasian non-diabetics corroborated the association of G/G at −420 with resistin level, but saw no correlation with markers of insulin resistance,
49 and the Framingham Offspring Cohort did not find significance for −420 C>G in their population although four SNPs in the 3′-untranslated region of the
Retn gene did correlate with elevated resistin levels.
50 In an Italian cohort, the −420G/G genotype correlated with metabolic syndrome,
51 but this was not the case in a Finnish study.
52Observational studies of human
Retn gene variants have also connected resistin with type 2 diabetes. In Europe and North America, several studies have documented several non-coding polymorphisms near the
Retn locus that correlate with insulin resistance and/or type 2 diabetes, while in other studies
Retn polymorphisms (often at different loci) have not correlated with metabolic risk, as has been reviewed elsewhere.
48 Indeed, one study that showed a correlation with SNPs and obesity in French Canadians did not observe a relationship in a similar cohort of Scandinavian descent.
53 These data reveal several potential genetic modulators of resistin, with strong evidence for variants in the promoter region. However, these genetic signals have not been consistently correlated with resistin levels or with metabolic outcomes across all study groups. This may be due to variations in sample size, unknown confounders in patient population and ethnic differences.
More recent studies of the complex genetic regulation of resistin expression may help to explain some of the ethnic variation. The minor allele frequencies for −638 G>A have been found to be dramatically lower in Caucasians than Japanese,
54 and a case-control study associated −638 G>A with increased resistin levels.
55 More strikingly, a survey of the general Japanese population found the highest resistin levels in those with both a G at −420 and an A allele at −358, the latter SNP being virtually absent in Caucasian populations.
56 Indeed, published databases indicate that both −358 and −638 may be monomorphic in Caucasians.
54, 56 (dbSNP
www.ncbi.nlm.nih.gov/projects/SNP/; HapMap
www.hapmap.org/index.html.en)
Thus, resistin expression appears to be controlled in part by genetic programming as genotype correlates with both level and disease state in some populations. Genetic analysis has given insight into the variation and complexity of the role of resistin in metabolic disease. This variability also suggests that resistin may be integral to inflammatory states beyond insulin resistance and diabetes.