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Correct diagnosis of Maturity-Onset Diabetes of the Young (MODY) is based on genetic tests requiring an appropriate subject selection by clinicians. Mutations in the insulin ( INS ) gene rarely occur in patients with MODY. This study is aimed at determining the genetic background and clinical phenotype in patients with suspected MODY. 34 patients with suspected MODY, negative for mutations in the GCK, HNF1α, HNF4α, HNF1β and PDX1 genes, were screened by next generation sequencing (NGS). A heterozygous INS mutation was identified in 4 members of the same family. First genetic tests performed identified two heterozygous silent nucleotide substitutions in MODY3/ HNF1α gene. An ineffective attempt to suspend insulin therapy, administering repaglinide and sulphonylureas, was made. DNA was re-sequenced by NGS investigating a set of 102 genes. Genes implicated in the pathway of pancreatic β-cells, candidate genes for type 2 diabetes mellitus and genes causative of diabetes in mice were selected. A novel heterozygous variant in human preproinsulin INS gene (c.125T > C) was found in the affected family members. The new INS mutation broadens the spectrum of possible INS phenotypes. Screening for INS mutations is warranted not only in neonatal diabetes but also in MODYx patients and in selected patients with type 1 diabetes mellitus negative for autoantibodies. Subjects with complex diseases without a specific phenotype should be studied by NGS because Sanger sequencing is ineffective and time consuming in detecting rare variants. [ABSTRACT FROM AUTHOR]

Background: Advanced hybrid closed loop (AHCL) systems are the newest tool to improve metabolic control in type 1 diabetes (T1D). Long‐term glycemic control of children and adolescents with T1D switching to MiniMed™ 780G in a real clinical setting was evaluated. Methods: Time in range (TIR) and in different glucose ranges, glycemic variability indexes, HbA1c and basal‐bolus insulin distribution were evaluated in 44 subjects (mean age 14.2 ± 4.0 years, 22 males) during manual mode period, first 14 days (A14d) and first month after auto‐mode activation (A1M), first 14 days after 3 months (A3M) and 6 months (A6M) in auto‐mode. Results: Mean TIR at A14d was 76.3 ± 9.6% versus 69.3 ± 12.6% in manual mode (p < 0.001), and this improvement was maintained over 6 months. Subjects with TIR >70% and >80% in manual mode were 45% and 23%, respectively, and increased to 80% (p = 0.041) and 41% (p = 0.007) at A14d. Basal‐bolus distribution changed in favor of bolus, and auto‐correction boluses inversely correlated with TIR. HbA1c was 7.2 ± 0.7% (55 mmol/mol) at baseline and significantly improved after 3 months (6.7 ± 0.5%, 50 mmol/mol, p < 0.001) and 6 months (6.6 ± 0.5%, 49 mmol/mol, p < 0.001). TIR was higher in individuals >13 years at all time periods (p < 0.001). Glycemic target <120 mg/dl was associated with better TIR. Conclusions: AHCL MiniMed™ 780G allowed rapid and sustained improvement of glycemic control in young T1D patients, reaching recommended TIR. Teenagers showed good technology adherence with optimal TIR, maintained better over time compared to younger children. Stricter settings were associated with better metabolic control, without increase in severe hypoglycemia occurrence. [ABSTRACT FROM AUTHOR]

To this end, in 2020 and at the same time as CLC with the Control-IQ system was introduced in Italy, we organized a virtual educational camp (vEC) for children and adolescents with type 1 diabetes. Keywords: Virtual educational camp; Advanced hybrid closed loop; Closed-loop control; Children; Adolescents; Type 1 diabetes EN Virtual educational camp Advanced hybrid closed loop Closed-loop control Children Adolescents Type 1 diabetes 455 457 3 06/06/22 20220601 NES 220601 We read with interest the article by Messer et al.[1] reporting a significant increase in time in range (TIR, +9%, I P i < 0.001) in 191 children and adolescents using a closed-loop control (CLC) system (Tandem t:slim X2 insulin pump with Control-IQ technology, San Diego, CA). [Extracted from the article]

Objectives: To assess the optimal setting of the predictive low glucose management (PLGM) algorithm for preventing exercise‐induced hypoglycemia in adolescents with type 1 diabetes. Methods: Thirty‐four adolescents, 15 to 20 years, wearing PLGM system, were followed during 3 days exercise during a diabetes camp. PLGM threshold was set at 70 mg/dL between 8 am and 10 pm and 90 mg/dL during 10 pm and 8 am Adolescents were divided into group A and B, with PLGM threshold at 90 and 70 mg/dL, respectively, during exercise. Time spent in hypoglycemia and AUC for time slots 8 am to 1 pm, 1 to 4 pm, 4 to 11 pm, 11 pm to 3 am, 3 to 8 am, in 3 days were compared between groups by Wilcoxon rank sum test. Results: We analyzed 31 patients (median age 15.0 years, 58.1% males, median diabetes duration 7.0 years, hemoglobin A1c [HbA1c] 7.1%). No significant difference has been observed in time spent in hypoglycemia between groups using threshold 70 or 90. Time spent in target was similar in both groups, as well as time spent in hypo or hyperglycemia. The trends of blood glucose over the 3 days in the 2 groups over‐lapped without significant differences. Conclusions: A PLGM threshold of 90 mg/dL during the night was associated with reduced time in hypoglycemia in adolescents doing frequent physical exercise, while maintaining 65.1% time in range during the day. However, a threshold of 70 mg/dL seems to be safe in the duration of the physical exercise. PLGM system in adolescents with type 1 diabetes was effective to prevent hypoglycemia during and after exercise, irrespective of the PLGM thresholds used. [ABSTRACT FROM AUTHOR]

The article presents the observational perspective anonymous data collection that aims to assess the effectiveness and safety of the predictive low glucose management (PLGM) system in free-living conditions. A group of young patients with type 1 diabetes took part of the study and used the system. Findings of the study confirm the efficacy of PLGM in adolescents suffering type 1 diabetes both in usual care conditions and in real-world setting.

Background/Aim: Combined growth hormone (GH) and insulin therapy is rarely prescribed by pediatric endocrinologists. We investigated the attitude of Italian physicians to prescribing that therapy in the case of short stature and type-1 diabetes (T1DM). Methods: A questionnaire was sent and if a patient was identified, data on growth and diabetes management were collected. Results: Data from 42 centers (84%) were obtained. Of these, 29 centers reported that the use of combined therapy was usually avoided. A total of 17 patients were treated in 13 centers (GH was started before T1DM onset in 9 patients and after the onset of T1DM in 8). Height SDS patterns during GH therapy in the 11 patients affected by GH deficiency ranged from -0.3 to +3.1 SDS. In the 8 diabetic patients in whom GH was added subsequently, mean insulin dose increased during the first 6 months of therapy from 0.7 ± 0.2 to 1.0 ± 0.2 U/kg (p = 0.004). HbA1c was unchanged during the first 6 months of combined therapy. Conclusions: Most Italian physicians do not consider prescribing the combined GH-insulin therapy in diabetic children with growth problems. However, the results of the 17 patients identified would confirm that the combined therapy was feasible and only caused mild insulin resistance. GH therapy was effective in promoting growth in most patients and did not affect diabetes metabolic control. © 2014 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Sensor-augmented pumps, which consist of a pump and a continuous glucose monitoring system, offer considerable therapeutic opportunities, despite requiring close attention in the early phase of their use. The aim of this paper is to provide recommendations on the use of a predictive low glucose management (PLGM) system (Minimed 640G™, Medtronic, Northridge, CA, USA) in adolescents with type 1 diabetes either at the start of therapy or during follow-up. Sound clinical recommendations on PLGM are of increasing importance since several recent papers have reported significant clinical improvements in patients with PLGM, especially in adults. These recommendations are based on the experience of a group of pediatric endocrinologists who collaborated to closely and intensively study the on-boarding of adolescent patients with type 1 diabetes on automated systems to gain first-hand experience and peer-to-peer insights in a unique free-living environment. The suggestions provided here are indicative, so can be adapted to the individual realities and experiences of different diabetes centers. However, we believe that close adherence to the proposed scheme is likely to increase the chances of improving the clinical and metabolic outcomes of patients treated with this therapy. [ABSTRACT FROM AUTHOR]