Transcription factor gene MNX1 is a novel cause of permanent neonatal diabetes in a consanguineous family.

AIM: Permanent neonatal diabetes mellitus (PNDM) is a rare monogenic form of non-autoimmune diabetes. Genetic defects have been identified in∼60% of cases, with mutations in ABCC8, KCNJ11 and INS being the most frequent causes of PNDM. Recognition of genetic subtypes strongly impacts on both patients' care and family counseling. This study aimed to identify the genetic aetiology of PNDM in a diabetic girl born of consanguineous parents. METHODS: DNA samples from both the proband and her non-diabetic parents were analyzed for homozygosity mapping, using Illumina Infinium 660K SNP microarrays, focusing on the runs of homozygosity (ROHs) detected only in the patient. Standard Sanger sequencing of candidate genes (MNX1 and GATA6) present in the ROHs was subsequently performed, as well as expression analyses on human embryonic and adult pancreatic islet samples. RESULTS: A putative causal homozygous mutation in the transcription factor gene MNX1 (c.816C>A/p.Phe272Leu) was identified in the PNDM patient, who was clinically diagnosed as a typical case of PNDM with no developmental pancreatic defects or other clinical features. The probable deleterious mutation was located within the MNX1 homeodomain helix 2 that is highly conserved between species. In human embryonic pancreatic islet samples, it has been shown that MNX1 expression is significantly enriched in pancreatic epithelium compared with mesenchyme, suggesting a role for MNX1 in human pancreatic beta-cell development. CONCLUSION: This study found a new putative cause of PNDM in a consanguineous family. Replication in other cohorts would help to clarify the clinical spectrum of MNX1 mutations in PNDM patients.

TCF7L2 rs7903146 impairs islet function and morphology in non-diabetic individuals.

AIMS/HYPOTHESIS: Transcription factor 7-like 2 (TCF7L2) is a Wnt-signalling-associated transcription factor. Genetic studies have clearly demonstrated that DNA polymorphisms within TCF7L2 confer the strongest known association with increased risk of type 2 diabetes. However, the impact of the TCF7L2 type-2-diabetes-associated rs7903146 T allele on biological function and morphology of human pancreatic islets is unknown. METHODS: Paraffin sections of pancreases from 187 brain-deceased donors (HbA(1c) <6.5% [48 mmol/mol]) were used to genotype the TCF7L2 variant rs7903146 and evaluate its impact on islet morphology and alpha and beta cell subpopulations following immunostaining for glucagon and C-peptide. Following islet isolation, we investigated the correlation between TCF7L2 genotype and in vitro islet functional variables from our in-house pancreatic database. RESULTS: TCF7L2 rs7903146 (T/T) was associated with reduced basal and glucose-stimulated insulin secretion in isolated human islets, and reduced islet density in whole pancreas. Morphological analysis demonstrated islet size was increased in T/T carriers. Furthermore, rs7903146 was associated with an increased glucagon/C-peptide ratio, especially in bigger islets. CONCLUSION/INTERPRETATION: The TCF7L2 variant rs7903146 risk allele is associated with impaired insulin secretion, reduction of total islet number and quantitative as well as qualitative morphological changes in human islets. Understanding how the TCF7L2 genotype modulates its activity and how TCF7L2 impacts the islet morphology may aid the design of new therapeutic approaches for the treatment of type 2 diabetes.

Association between angiopoietin-like 6 (ANGPTL6) gene polymorphisms and metabolic syndrome-related phenotypes in the French MONICA Study.

AIM: Although the ANGPTL6 (angiopoietin-like 6) gene product is now known to be involved in the regulation of fat mass and insulin sensitivity in mice, its physiological functions in humans have yet to be determined. METHODS: Subjects from the population-based French MONICA Study (n=3402) were genotyped for single nucleotide polymorphisms (SNPs) in ANGPTL6, and associations with anthropometric or biochemical phenotypes were looked for. RESULTS: On evaluating the frequency of 17 ANGPTL6 SNPs in 100 randomly selected subjects on the basis of linkage disequilibrium mapping, four SNPs (rs6511435, rs8112063, rs11671983 and rs15723) were found to cover more than 95% of the known ANGPTL6 genetic variability. Subjects from the entire MONICA Study were then genotyped for these four SNPs. No significant association was detected for rs11671983 and rs15723. In contrast, the G allele of rs8112063 was associated with lower plasma glucose levels (P=0.009). Also, obese subjects carrying the G allele of rs6511435 had higher plasma insulin levels than AA subjects (P=0.0055). Moreover, the G allele of rs6511435 tended to be associated with a 20% higher risk of the metabolic syndrome (P=0.034). However, when false discovery rate testing (40 tests) was applied, these associations were no longer statistically significant. CONCLUSION: These findings constitute the first study in humans of ANGPTL6 genetic variability. Although there was no evidence that polymorphisms in ANGPTL6 might be significantly associated with the metabolic syndrome-related phenotypes, a weak association of these polymorphisms with these parameters cannot be excluded. Further association studies are needed to arrive at any definite conclusions.