Vidya S. Farook

Human neuroendocrine cancers (NECs) arise in various endoderm-derived epithelia, have diverse morphologic features, exhibit a wide range of growth phenotypes, and generally have obscure cellular origins and ill-defined molecular mediators of initiation and progression. We describe a transgenic mouse model of metastatic gastric cancer initiated by expressing simian virus 40 large tumor antigen (SV40 TAg), under control of regulatory elements from the mouse Atp4b gene, in the progenitors of acid-producing parietal cells. Parietal cells normally do not express endocrine or neural features, and Atp4b-Cre bitransgenic mice with a Cre reporter confirmed that the Atp4b regulatory elements are not active in gastric enteroendocrine cells. GeneChip analyses were performed on laser capture microdissected SV40 TAg-expressing cells in preinvasive foci and invasive tumors. Genes that distinguish invasive from preinvasive cells were then hierarchically clustered with DNA microarray datasets obtained from human lung and gastric cancers. The results, combined with immunohistochemical and electron microscopy studies of Apt4b-SV40 TAg stomachs, revealed that progression to invasion was associated with transdifferentiation of parietal cell progenitors to a neuroendocrine phenotype, and that invasive cells shared molecular features with NECs arising in the human pulmonary epithelium, including transcription factors that normally regulate differentiation of various endocrine lineages and maintain neural progenitors in an undifferentiated state. The 399 mouse genes identified as regulated during acquisition of an invasive phenotype and concomitant neuroendocrine transdifferentiation, plus their human orthologs associated with lung NECs, provide a foundation for molecular classification of NECs arising in other tissues and for genetic tests of the molecular mechanisms underlying NEC pathogenesis.

Activating transcription factor 6 (ATF6) is important for protective cell response to accumulation of unfolded and misfolded proteins in endoplasmic reticulum, and disturbances of this process can contribute to β-cell apoptosis. We analyzed the structural gene located within a region on 1q21-q23 linked with type 2 diabetes in several populations for variants in the Pima Indians. Functionally important segments of ATF6 were sequenced in 15 diabetic and 15 nondiabetic Pimas and representative single nucleotide polymorphisms (SNPs) tested for association with type 2 diabetes in 900–1,000 subjects. We identified 20 variants including three amino acid substitutions [Met(67)Val, Pro(145)Ala, and Ser(157)Pro]. Pro(145)Ala and Ser(157)Pro were in a complete linkage disequilibrium and showed a nominal association with type 2 diabetes (P = 0.05; odds ratio 2.3 [95% CI 1.0–5.2]) and with 30-min plasma insulin during oral glucose tolerance test in 287 nondiabetic individuals (P = 0.045). Although the associations with type 2 diabetes and plasma insulin levels are marginal and their functional consequences are yet unknown, all three amino acid substitutions are located in a functionally important part of ATF6. Because these variants are not unique to the Pimas, it will be feasible to investigate their association with type 2 diabetes in other populations to better evaluate their significance for a predisposition to the disease.

Type 2 diabetes (T2D) is a complex metabolic disease that is more prevalent in ethnic groups such as Mexican Americans, and is strongly associated with the risk factors obesity and insulin resistance. The goal of this study was to perform whole genome gene expression profiling in adipose tissue to detect common patterns of gene regulation associated with obesity and insulin resistance. We used phenotypic and genotypic data from 308 Mexican American participants from the Veterans Administration Genetic Epidemiology Study (VAGES). Basal fasting RNA was extracted from adipose tissue biopsies from a subset of 75 unrelated individuals, and gene expression data generated on the Illumina BeadArray platform. The number of gene probes with significant expression above baseline was approximately 31,000. We performed multiple regression analysis of all probes with 15 metabolic traits. Adipose tissue had 3,012 genes significantly associated with the traits of interest (false discovery rate, FDR ≤ 0.05). The significance of gene expression changes was used to select 52 genes with significant (FDR ≤ 10(-4)) gene expression changes across multiple traits. Gene sets/Pathways analysis identified one gene, alcohol dehydrogenase 1B (ADH1B) that was significantly enriched (P < 10(-60)) as a prime candidate for involvement in multiple relevant metabolic pathways. Illumina BeadChip derived ADH1B expression data was consistent with quantitative real time PCR data. We observed significant inverse correlations with waist circumference (2.8 x 10(-9)), BMI (5.4 x 10(-6)), and fasting plasma insulin (P < 0.001). These findings are consistent with a central role for ADH1B in obesity and insulin resistance and provide evidence for a novel genetic regulatory mechanism for human metabolic diseases related to these traits.

To identify novel coding association signals and facilitate characterization of mechanisms influencing glycemic traits and type 2 diabetes risk, we analyzed 109,215 variants derived from exome array genotyping together with an additional 390,225 variants from exome sequence in up to 39,339 normoglycemic individuals from five ancestry groups. We identified a novel association between the coding variant (p.Pro50Thr) in AKT2 and fasting plasma insulin (FI), a gene in which rare fully penetrant mutations are causal for monogenic glycemic disorders. The low-frequency allele is associated with a 12% increase in FI levels. This variant is present at 1.1% frequency in Finns but virtually absent in individuals from other ancestries. Carriers of the FI-increasing allele had increased 2-h insulin values, decreased insulin sensitivity, and increased risk of type 2 diabetes (odds ratio 1.05). In cellular studies, the AKT2-Thr50 protein exhibited a partial loss of function. We extend the allelic spectrum for coding variants in AKT2 associated with disorders of glucose homeostasis and demonstrate bidirectional effects of variants within the pleckstrin homology domain of AKT2.