Anti-SERPINA12 monoclonal antibody, clone MAFB4257

Vaspin has recently been identified as novel adipokine with high expression in adipose tissue of obese and type 2 diabetic subjects and with potentially insulin-sensitising properties. However, the impact of vaspin gene variants on the risk of type 2 diabetes mellitus (T2DM) has not been determined yet. Therefore, the aim of our study was to investigate the association of vaspin single nucleotide polymorphisms (SNPs) with T2DM and obesity. We analysed the association between 25 vaspin SNPs and T2DM in initially healthy 35-84 year-old individuals of the population-based, cross-sectional German KORA F3 study and assessed the association with measures of obesity. Genotyping was carried out with matrix-assisted laser desorption/ionisation-time of flight mass spectrometry of allele-dependent primer extension products and associations with T2DM and obesity were analysed by logistic regression analysis. Our results demonstrate a significant association of vaspin SNP rs2236242 with T2DM in the KORA F3 study with the AA genotype bearing an increased risk (adjusted OR 2.35 [1.59; 3.46] versus AT/TT). This association appears to be independent of obesity. Our finding corroborates previous studies that suggested a link between the novel adipokine vaspin and glucose metabolism.

Background Several regions of the genome have shown to be associated with COPD in genome-wide association studies of common variants. Objective To determine rare and potentially functional single nucleotide polymorphisms (SNPs) associated with the risk of COPD and severity of airflow limitation. Methods 3226 current or former smokers of European ancestry with lung function measures indicative of Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2 COPD or worse were genotyped using an exome array. An analysis of risk of COPD was carried out using ever smoking controls (n=4784). Associations with % predicted FEV1 were tested in cases. We followed-up signals of interest (p<10(-5)) in independent samples from a subset of the UK Biobank population and also undertook a more powerful discovery study by meta-analysing the exome array data and UK Biobank data for variants represented on both arrays. Results Among the associated variants were two in regions previously unreported for COPD; a low frequency non-synonymous SNP in MOCS3 (rs7269297, pdiscovery=3.08x10(-6), preplication=0.019) and a rare SNP in IFIT3, which emerged in the meta-analysis (rs140549288, pmeta=8.56x10(-6)). In the meta-analysis of % predicted FEV1 (i)n cases, the strongest association was shown for a splice variant in a previously unreported region, SERPINA12 (rs140198372, pmeta=5.72x10(-6)). We also confirmed previously reported associations with COPD risk at MMP12, HHIP, GPR126 and CHRNA5. No associations in novel regions reached a stringent exome-wide significance threshold (p<3.7x10(-7)). Conclusions This study identified several associations with the risk of COPD and severity of airflow limitation, including novel regions MOCS3, IFIT3 and SERPINA12, which warrant further study.