Polymorphisms and Pharmacogenomics of NQO2: The Past and the Future.

The flavoenzyme N-ribosyldihydronicotinamide (NRH):quinone oxidoreductase 2 (NQO2) catalyzes two-electron reductions of quinones. NQO2 contributes to the metabolism of biogenic and xenobiotic quinones, including a wide range of antitumor drugs, with both toxifying and detoxifying functions. Moreover, NQO2 activity can be inhibited by several compounds, including drugs and phytochemicals such as flavonoids. NQO2 may play important roles that go beyond quinone metabolism and include the regulation of oxidative stress, inflammation, and autophagy, with implications in carcinogenesis and neurodegeneration. NQO2 is a highly polymorphic gene with several allelic variants, including insertions (I), deletions (D) and single-nucleotide (SNP) polymorphisms located mainly in the promoter, but also in other regulatory regions and exons. This is the first systematic review of the literature reporting on NQO2 gene variants as risk factors in degenerative diseases or drug adverse effects. In particular, hypomorphic 29 bp I alleles have been linked to breast and other solid cancer susceptibility as well as to interindividual variability in response to chemotherapy. On the other hand, hypermorphic polymorphisms were associated with Parkinson's and Alzheimer's disease. The I and D promoter variants and other NQO2 polymorphisms may impact cognitive decline, alcoholism and toxicity of several nervous system drugs. Future studies are required to fill several gaps in NQO2 research.

The cl2/dro1/ccdc80 null mice develop thyroid and ovarian neoplasias.

We have previously reported that the expression of the CL2/CCDC80 gene is downregulated in human papillary thyroid carcinomas, particularly in follicular variants. We have also reported that the restoration of CL2/CCDC80 expression reverted the malignant phenotype of thyroid carcinoma cell lines and that CL2/CCDC80 positively regulated E-cadherin expression, an ability that likely accounts for the role of the CL2/CCDC80 gene in thyroid cancer progression. In order to validate the tumour suppressor role of the CL2/CCDC80 gene in thyroid carcinogenesis we generated cl2/ccdc80 knock-out mice. We found that embryonic fibroblasts from cl2/ccdc80(-/-) mice showed higher proliferation rate and lower susceptibility to apoptosis. Furthermore, cl2/ccdc80(-/-) mice developed thyroid adenomas and ovarian carcinomas. Finally, ret/PTC1 transgenic mice crossed with the cl2/ccdc80 knock-out mice developed more aggressive thyroid carcinomas compared with those observed in the single ret/PTC1 transgenic mice. Together, these results indicate CL2/CCDC80 as a putative tumour suppressor gene in human thyroid carcinogenesis.

The Coiled-Coil Domain Containing 80 (ccdc80) gene regulates gadd45ß2 expression in the developing somites of zebrafish as a new player of the hedgehog pathway.

The Coiled-Coil Domain Containing 80 (CCDC80) gene has been identified as strongly induced in rat thyroid PC CL3 cells immortalized by the adenoviral E1A gene. In human, CCDC80 is a potential oncosoppressor due to its down-regulation in several tumor cell lines and tissues and it is expressed in almost all tissues. CCDC80 has homologous in mouse, chicken, and zebrafish. We cloned the zebrafish ccdc80 and analyzed its expression and function during embryonic development. The in-silico translated zebrafish protein shares high similarity with its mammalian homologous, with nuclear localization signals and a signal peptide. Gene expression analysis demonstrates that zebrafish ccdc80 is maternally and zygotically expressed throughout the development. In particular, ccdc80 is strongly expressed in the notochord and it is under the regulation of the Hedgehog pathway. In this work we investigated the functional effects of ccdc80-loss-of-function during embryonic development and verified its interaction with gadd45ß2 in somitogenesis.

A functional variant of the dimethylarginine dimethylaminohydrolase-2 gene is associated with chronic kidney disease.

OBJECTIVE: Studies reported a relationship between elevated asymmetric dimethylarginine (ADMA) concentrations and adverse renal outcomes. There is evidence that the rs9267551 variant in the DDAH2 gene has a functional impact with the C allele having a higher transcriptional activity resulting in increased expression of DDAH2 in endothelial cells and lower plasma ADMA levels in C allele carriers. METHODS: To address whether this variant is associated with chronic kidney disease (CDK), 2852 White European were studied. CKD was defined as estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m(2). RESULTS: The proportion of subjects with CKD was significantly lower in C allele carriers than in GG genotype carriers (OR 0.49, 95%CI 0.25-0.97; P = 0.03). In a logistic regression model adjusted for age, gender, BMI, blood pressure, total and HDL cholesterol, triglyceride, and fasting plasma glucose, C allele carriers have a lower risk of CKD compared with GG genotype carriers (OR 0.38, 95%CI 0.18-0.78; P = 0.008). This association was maintained after addition to the logistic regression model of other confounders including glucose tolerance status, presence of dyslipidemia, anti-hypertensive and antidiabetic drugs (OR 0.35, 95%CI 0.15-0.80; P = 0.01). CONCLUSION: The rs9267551 functional variant of the DDAH2 gene is associated with CKD with carriers of the C allele having a lower risk of renal dysfunction independently from several confounders. Because ADMA predicted progression of renal disease, it is possible that, in GG carriers, ADMA may accumulate at the renal level causing endothelial dysfunction as a consequence of reduced nitric oxide availability and potentiating micro-vascular damage.

Variants of insulin-signaling inhibitor genes in type 2 diabetes and related metabolic abnormalities.

Insulin resistance has a central role in the pathogenesis of several metabolic diseases, including type 2 diabetes, obesity, glucose intolerance, metabolic syndrome, atherosclerosis, and cardiovascular diseases. Insulin resistance and related traits are likely to be caused by abnormalities in the genes encoding for proteins involved in the composite network of insulin-signaling; in this review we have focused our attention on genetic variants of insulin-signaling inhibitor molecules. These proteins interfere with different steps in insulin-signaling: ENPP1/PC-1 and the phosphatases PTP1B and PTPRF/LAR inhibit the insulin receptor activation; INPPL1/SHIP-2 hydrolyzes PI3-kinase products, hampering the phosphoinositide-mediated downstream signaling; and TRIB3 binds the serine-threonine kinase Akt, reducing its phosphorylation levels. While several variants have been described over the years for all these genes, solid evidence of an association with type 2 diabetes and related diseases seems to exist only for rs1044498 of the ENPP1 gene and for rs2295490 of the TRIB3 gene. However, overall the data recapitulated in this Review article may supply useful elements to interpret the results of novel, more technically advanced genetic studies; indeed it is becoming increasingly evident that genetic information on metabolic diseases should be interpreted taking into account the complex biological pathways underlying their pathogenesis.

Polymorphic repeat length in the AIB1 gene and breast cancer risk in BRCA1 and BRCA2 mutation carriers: a meta-analysis of observational studies.

OBJECTIVES: We carried out a meta-analysis focusing on the relationship between length of AIB1 gene poly-Q repeat domain as a modifier of breast cancer (BC) susceptibility in patients with BRCA1 and BRCA2 mutation carriers. DATA SOURCES: We searched MEDLINE and EMBASE for all medical literature published until February, 2012. STUDY ELIGIBILITY CRITERIA: Studies were included in the meta-analysis if they met all the predetermined criteria, such as: (a) case-control or cohort studies; (b) the primary outcome was clearly defined as BC; (c) the exposure of interest measured was AIB1 polyglutamine repeat length genotype; (d) provided relative risk (RR) or odds ratio (OR) estimates and their 95% confidence intervals (CIs). SYNTHESIS METHODS: Two of the authors independently evaluated the quality of the studies included and extracted the data. Meta-analyses were performed for case-control and cohort studies separately. Heterogeneity was examined and the publication bias was assessed with a funnel plot for asymmetry. RESULT: 7 studies met our predetermined inclusion criteria and were included in the meta-analysis. Overall quality ratings of the studies varied from 0.36 to 0.77, with a median of 0.5. The overall RR estimates of 29/29 poly-Q repeats on risk of BC in BRCA1/2, BRCA1, and BRCA2, were always greater than 1.00; however, this effect was not statistically significant. In the meta-analysis of studies reporting the effect of 28/28 poly-Q repeats on risk of BC in BRCA1/2, BRCA1, and BRCA2, the overall RR decreased below 1.00; however, this effect was not statistically significant. Similar estimates were shown for at least 1 allele of ≤26 repeats. CONCLUSIONS: Genotypes of AIB1 polyglutamine polymorphism analyzed do not appear to be associated to a modified risk of BC development in BRCA1 and BRCA2 mutation carriers. Future research on length of poly-Q repeat domain and BC susceptibility should be discouraged and more promising potential sources of penetrance variation among BRCA1 and BRCA2 mutation carriers should be investigated.

A fasting insulin-raising allele at IGF1 locus is associated with circulating levels of IGF-1 and insulin sensitivity.

BACKGROUND: A meta-analysis of genome-wide data reported the discovery of the rs35767 polymorphism near IGF1 with genome-wide significant association with fasting insulin levels. However, it is unclear whether the effects of this polymorphism on fasting insulin are mediated by a reduced insulin sensitivity or impaired insulin clearance. We investigated the effects of the rs35767 polymorphism on circulating IGF-1 levels, insulin sensitivity, and insulin clearance. METHODOLOGY/PRINCIPAL FINDINGS: Two samples of adult nondiabetic white Europeans were studied. In sample 1 (n=569), IGF-1 levels were lower in GG genotype carriers compared with A allele carriers (190±77 vs. 218±97 ng/ml, respectively; P=0.007 after adjusting for age, gender, and BMI). Insulin sensitivity assessed by euglycaemic-hyperinsulinemic clamp was lower in GG genotype carriers compared with A allele carriers (8.9±4.1 vs. 10.1±5.1 mg x Kg(-1) free fat mass x min(-1), respectively; P=0.03 after adjusting for age, gender, and BMI). The rs35767 polymorphism did not show significant association with insulin clearance. In sample 2 (n=859), IGF-1 levels were lower in GG genotype carriers compared with A allele carriers (155±60 vs. 164±63 ng/ml, respectively; P=0.02 after adjusting for age, gender, and BMI). Insulin sensitivity, as estimated by the HOMA index, was lower in GG genotype carriers compared with A allele carriers (2.8±2.2 vs. 2.5±1.3, respectively; P=0.03 after adjusting for age, gender, and BMI). CONCLUSION/SIGNIFICANCE: The rs35767 polymorphism near IGF1 was associated with circulating IGF-1 levels, and insulin sensitivity with carriers of the GG genotype exhibiting lower IGF-1 concentrations and insulin sensitivity as compared with subjects carrying the A allele.