Update of variants identified in the pancreatic β-cell K ATP channel genes KCNJ11 and ABCC8 in individuals with congenital hyperinsulinism and diabetes

The most common genetic cause of neonatal diabetes and hyperinsulinism is pathogenic variants in ABCC8 and KCNJ11. These genes encode the subunits of the β-cell ATP-sensitive potassium channel, a key component of the glucose-stimulated insulin secretion pathway. Mutations in the two genes cause dysregulated insulin secretion; inactivating mutations cause an oversecretion of insulin, leading to congenital hyperinsulinism, whereas activating mutations cause the opposing phenotype, diabetes. This review focuses on variants identified in ABCC8 and KCNJ11, the phenotypic spectrum and the treatment implications for individuals with pathogenic variants.This article is freely available via Open Access. Click on the publisher URL to access it via the publisher's site.P30 DK020595/NH/NIH HHS/United States K23 DK094866/NH/NIH HHS/United States R03 DK103096/NH/NIH HHS/United States 1-11-CT-41/American Diabetes Association/International R01 DK104942/DK/NIDDK NIH HHS/United States WT_/Wellcome Trust/United Kingdom WT098395/Z/12/Z/WT_/Wellcome Trust/United Kingdom UL1 TR000430/NH/NIH HHS/United States P30 DK020595/DK/NIDDK NIH HHS/United States UL1 TR000430/TR/NCATS NIH HHS/United States 1-17-JDF-008/American Diabetes Association/International 105636/Z/14/Z/WT_/Wellcome Trust/United Kingdom 110675/European Association for the Study of Diabetes-Novo Nordisk/International 16/0005407/DUK_/Diabetes UK/United Kingdom R01 DK104942/NH/NIH HHS/United States R03 DK103096/DK/NIDDK NIH HHS/United States K23 DK094866/DK/NIDDK NIH HHS/United Statespublished version, accepted version (12 month embargo), submitted versio

Prediction of birth weight small for gestational age with and without preeclampsia by angiogenic markers: an Odense Child Cohort Study

OBJECTIVE: To investigate the predictive performance of placental growth factor (PlGF) and soluble FMS-like kinase 1 (sFlt-1) on birth weight and small for gestational age (SGA), in a large, population-based cohort. METHODS: Women enrolled in the population-based, prospective Odense Child Cohort Study with early (GA 5.0; NPV = 99.1%, PPV = 5.4%) compared to each marker individually. CONCLUSION: The sFlt-1/PlGF ratio is a potential predictor of SGA in population-based screening, particularly when preeclampsia is also present. What is new: The sFlt-1/PlGF ratio is a potential predictor of SGA on a population level with higher predictive values compared to sFlt-1 or PlGF, but with low positive predictive value when used alone. WHAT IS NEW: The sFlt-1/PlGF ratio is a potential predictor of SGA on a population level with higher predictive values compared to sFlt-1 or PlGF, but with low positive predictive value when used alone

Exome sequencing revealed DNA variants in NCOR1, IGF2BP1, SGLT2 and NEK11 as potential novel causes of ketotic hypoglycemia in children

Unexplained or idiopathic ketotic hypoglycemia (KH) is the most common type of hypoglycemia in children. The diagnosis is based on the exclusion of routine hormonal and metabolic causes of hypoglycemia. We aimed to identify novel genes that cause KH, as this may lead to a more targeted treatment. Deep phenotyping of ten preschool age at onset KH patients (boys, n = 5; girls, n = 5) was performed followed by trio exome sequencing and comprehensive bioinformatics analysis. Data analysis revealed four novel candidate genes: (1) NCOR1 in a patient with KH, iron deficiency and loose stools; (2) IGF2BP1 in a proband with KH, short stature and delayed bone age; (3) SLC5A2 in a proband with KH, intermittent glucosuria and extremely elevated p-GLP-1; and (4) NEK11 in a proband with ketotic hypoglycemia and liver affliction. These genes are associated with different metabolic processes, such as gluconeogenesis, translational regulation, and glucose transport. In conclusion, WES identified DNA variants in four different genes as potential novel causes of IKH, suggesting that IKH is a heterogeneous disorder that can be split into several novel diseases: NCOR1-KH, IGF2BP1-KH, SGLT2-KH or familial renal glucosuria KH, and NEK11-KH. Precision medicine treatment based on exome sequencing may lead to advances in the management of IKH

Comparison of response to 2-years’ growth hormone treatment in children with isolated growth hormone deficiency, born small for gestational age, idiopathic short stature, or multiple pituitary hormone deficiency: combined results from two large observational studies

<p>Abstract</p> <p>Background</p> <p>Few studies have compared the response to growth hormone (GH) treatment between indications such as isolated growth hormone deficiency (IGHD), born small for gestational age (SGA), idiopathic short stature (ISS), and multiple pituitary hormone deficiency (MPHD). The aim of this analysis of data, collected from two large ongoing observational outcome studies, was to evaluate growth and insulin-like growth factor-I (IGF-I) response data for children of short stature with IGHD, MPHD, SGA, or ISS following two years of treatment with the recombinant GH product Norditropin® (Novo Nordisk A/S, Bagsværd, Denmark).</p> <p>Methods</p> <p>Analysis of auxologic data from two ongoing prospective observational studies, NordiNet® International Outcomes Study (NordiNet® IOS) and NovoNet®/American Norditropin® Studies: Web-enabled Research (ANSWER) Program®.</p> <p>Results</p> <p>4,582 children aged <18 years were included: IGHD, n = 3,298; SGA, n = 678; ISS, n = 334; and MPHD, n = 272. After two years’ GH treatment, change in height standard deviation score (SDS) was +1.03 in SGA and +0.84 in ISS vs. +0.97 in IGHD (<it>p =</it> 0.047; <it>p <</it> 0.001 vs. IGHD, respectively). Height gain was comparable between IGHD and MPHD. In pre-pubertal children vs. total population, height SDS change after two years was: IGHD, +1.24 vs. +0.97; SGA, +1.17 vs. +1.03; ISS, +1.04 vs. +0.84; and MPHD, +1.16 vs. +0.99 (all <it>p</it> < 0.001).</p> <p>Conclusions</p> <p>After two years’ GH treatment, change in height SDS was greater in SGA and less in ISS, compared with IGHD; the discrepancy in responses may be due to the disease nature or confounders (i.e. age). Height SDS increase was greatest in pre-pubertal children, supporting early treatment initiation to optimize growth outcomes.</p