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Background Diabetic kidney disease (DKD) is becoming increasingly common among children. We aimed to estimate the risk of end-stage renal disease (ESKD) and mortality among adolescents with type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM) and normal renal function compared with non-diabetics. We hypothesized that childhood onset T1DM vs. T2DM would be associated with a different risk profile for developing ESKD and its complications. Methods A nationwide, population-based, retrospective cohort study, including 1,500,522 adolescents examined for military service between 1967 and 1997, which were classified according to the presence and type of diabetes. Data were linked to the Israeli ESKD registry. Cox proportional-hazards models were used to estimate the hazard ratio (HR) for ESKD. Results At study enrolment, 1183 adolescents had T1DM and 196 had T2DM. ESKD developed in 2386 non-diabetic individuals (0.2%) compared with 72 individuals (6.1%) with T1DM and 8 individuals (4.1%) with T2DM. Participants with T1DM were younger at ESKD onset than participants with T2DM (median age, 36.0 vs. 40.5 years, P < 0.05). In a multivariate model adjusted for age, sex, paternal origin, enrollment year, BMI, and blood pressure, T1DM and T2DM were associated with HR of 36.4 (95% CI 28.3-46.9) and 19.3 (95% CI 9.6-38.8) for ESKD, respectively. Stratification according to sex, ethnicity, immigration, and socioeconomic status did not materially change the HR. During the follow-up period, mortality rates were higher in T2DM as compared with T1DM and controls (8.7 %, 2.2%, and 2.7% respectively). Conclusions T1DM and T2DM in adolescents with normal renal function confer a significantly increased risk for ESKD. T1DM is associated with younger age at ESKD onset while T2DM is associated with higher mortality rate., Author(s): Oren Pleniceanu [sup.1] [sup.2] [sup.3] , Gilad Twig [sup.1] [sup.2] [sup.4] , Dorit Tzur [sup.1] , Noah Gruber [sup.2] [sup.5] , Michal Stern-Zimmer [sup.2] [sup.3] , Arnon Afek [sup.2] [...]

Introduction: Angelman syndrome (AS) is a rare, genetic, neurodevelopmental disorder characterized by severe impairments in speech, cognition, and motor skills accompanied by unique behaviors, distinct facial features, and high prevalence of epilepsy and sleep problems. Despite some reports of short stature among AS patients, this feature is not included in the clinical criteria defined in 2005. We investigated growth patterns among AS patients with respect to mutation type, growth periods, family history, and endocrine abnormalities. Methods: Data were collected from patients' medical files in AS National Clinic. Mutation subtypes were divided to deletion and non-deletion. Four growth periods were defined: preschool, childhood, peak height velocity, and final height. Results: The cohort included 88 individuals (46 males), with 54 (61.4%) carrying deletion subtype. A median of 3 observations per individual produced 280 data points. Final height SDS was significantly lower compared to general population (−1.23 ± 1.26, p < 0.001), and in deletion group versus non-deletion (−1.67 ± 1.3 vs. −0.65 ± 0.96, p = 0.03). Final height SDS was significantly lower compared to height SDS in preschool period (−1.32 vs. −0.47, p = 0.007). Patient's final height SDS was significantly lower than the parents' (∆final-height SDS = 0.94 ± 0.99, p = 0.002). IGF1-SDS was significantly decreased compared to general population (−0.55 ± 1.61, p = 0.04), with lower values among deletion group (−0.70 ± 1.44, p = 0.01). Conclusions: AS patients demonstrate specific growth pattern with deceleration during childhood and adolescence, resulting in significantly decreased final height compared to normal population, and even lower among deletion subgroup, which could be attributed to reduced IGF1 levels. We propose adding short stature to the clinical criteria and developing adjusted growth curves for AS population. [ABSTRACT FROM AUTHOR]

Objective: Previous studies have demonstrated an association between gut microbiota composition and type 1 diabetes (T1D) pathogenesis. However, little is known about the composition and function of the gut microbiome in adults with longstanding T1D or its association with host glycemic control.Research Design and Methods: We performed a metagenomic analysis of the gut microbiome obtained from fecal samples of 74 adults with T1D, 14.6 ± 9.6 years following diagnosis, and compared their microbial composition and function to 296 age-matched healthy control subjects (1:4 ratio). We further analyzed the association between microbial taxa and indices of glycemic control derived from continuous glucose monitoring measurements and blood tests and constructed a prediction model that solely takes microbiome features as input to evaluate the discriminative power of microbial composition for distinguishing individuals with T1D from control subjects.Results: Adults with T1D had a distinct microbial signature that separated them from control subjects when using prediction algorithms on held-out subjects (area under the receiver operating characteristic curve = 0.89 ± 0.03). Linear discriminant analysis showed several bacterial species with significantly higher scores in T1D, including Prevotella copri and Eubacterium siraeum, and species with higher scores in control subjects, including Firmicutes bacterium and Faecalibacterium prausnitzii (P < 0.05, false discovery rate corrected for all). On the functional level, several metabolic pathways were significantly lower in adults with T1D. Several bacterial taxa and metabolic pathways were associated with the host's glycemic control.Conclusions: We identified a distinct gut microbial signature in adults with longstanding T1D and associations between microbial taxa, metabolic pathways, and glycemic control indices. Additional mechanistic studies are needed to identify the role of these bacteria for potential therapeutic strategies. [ABSTRACT FROM AUTHOR]

Objective: Despite technological advances, results from various clinical trials have repeatedly shown that many individuals with type 1 diabetes (T1D) do not achieve their glycemic goals. One of the major challenges in disease management is the administration of an accurate amount of insulin for each meal that will match the expected postprandial glycemic response (PPGR). The objective of this study was to develop a prediction model for PPGR in individuals with T1D.Research Design and Methods: We recruited individuals with T1D who were using continuous glucose monitoring and continuous subcutaneous insulin infusion devices simultaneously to a prospective cohort and profiled them for 2 weeks. Participants were asked to report real-time dietary intake using a designated mobile app. We measured their PPGRs and devised machine learning algorithms for PPGR prediction, which integrate glucose measurements, insulin dosages, dietary habits, blood parameters, anthropometrics, exercise, and gut microbiota. Data of the PPGR of 900 healthy individuals to 41,371 meals were also integrated into the model. The performance of the models was evaluated with 10-fold cross validation.Results: A total of 121 individuals with T1D, 75 adults and 46 children, were included in the study. PPGR to 6,377 meals was measured. Our PPGR prediction model substantially outperforms a baseline model with emulation of standard of care (correlation of R = 0.59 compared with R = 0.40 for predicted and observed PPGR respectively; P < 10-10). The model was robust across different subpopulations. Feature attribution analysis revealed that glucose levels at meal initiation, glucose trend 30 min prior to meal, meal carbohydrate content, and meal's carbohydrate-to-fat ratio were the most influential features for the model.Conclusions: Our model enables a more accurate prediction of PPGR and therefore may allow a better adjustment of the required insulin dosage for meals. It can be further implemented in closed loop systems and may lead to rationally designed nutritional interventions personally tailored for individuals with T1D on the basis of meals with expected low glycemic response. [ABSTRACT FROM AUTHOR]

Aim Methods Results Conclusion Low‐carbohydrate (LC) diets have gained popularity. We compared glycaemic and metabolic parameters following an LC versus a Mediterranean (MED) diet in adolescents and youths with type 1 diabetes.In a six‐month, open‐label, randomised trial, 40 individuals were assigned to either diet. Glycaemic outcomes, based on continuous glucose monitoring, included per cent time of blood glucose in the range [3.9–10.0 mmol/L (70–180 mg/dL)] and haemoglobin A1c (HbA1c).Twenty‐eight (70%) were females. The median age was 18 years. After 6 months, the median time in range increased from 47% to 58% in the LC and from 52% to 64% in the MED diet group (p = 0.98). The delta values for the time in range were 16% and 7% for the respective groups (p = 0.09). The percentage of time >13.9 mmol/L (>250 mg/dL) improved more in the LC diet than in the MED diet group: −10% vs. −2% (p = 0.005). The percentage of time <3.0 mmol/L (<54 mg/dL) was comparable. The delta HbA1c improved in both groups: −0.7% vs. −0.1% (p = 0.02). Changes in BMI Z‐score and lipid levels were similar.Both diets improved glycaemic outcomes in adolescents and youths with type 1 diabetes, without increasing hypoglycaemia or cardiovascular risk factors, indicating comparable safety and efficacy. [ABSTRACT FROM AUTHOR]

A healthy four-year-old boy presented with new haemorrhagic skin lesions on his thighs and left flank (upper left image). Several hours following treatment initiation, the skin lesion progression ceased, and laboratory tests improved. Laboratory investigations showed a normal full blood count, C-reactive protein (CRP) was 27 mg/l (normal <0-5), prothrombin time (PT) was 57% (normal 75-120%) and activated partial thromboplastin time (APTT) was normal. [Extracted from the article]

Background: Pearson syndrome (PS) and Kearns-Sayre syndrome (KSS) are single large-scale mitochondrial DNA deletion (SLSMD) syndromes. PS is characterized by severe, transient childhood cytopenia, whereas KSS typically manifests later in life without hematologic abnormalities. Despite distinct clinical presentations, both share a common mitochondrial DNA deletion. Recent observations suggest a potential link between PS progression and myeloid malignancy development, indicating that bone marrow failure (BMF) may be a key aspect of PS pathology and potentially universal across SLSMDs., Methods: This study explores longitudinal hematological manifestations of SLSMD syndromes, focusing on bone marrow (BM) dysfunction., Results: Sixteen patients with SLSMDs (13 PS and 3 KSS) were followed, of whom 75% experienced cytopenia, necessitating blood transfusions in 56%. Despite achieving transfusion independence at a median age of 24 months, persistent hematological abnormalities were noted. Comprehensive longitudinal BM studies were conducted in 62% of subjects and consistently revealed signs of marrow dysfunction, even without concurrent cytopenia. Median BM cellularity at a median age of four years and eight months was 50%, with histological signs of dyserythropoiesis, abnormal megakaryocytes, and signs suggesting myelodysplasia. Reduced CD34 + counts and BM colony-forming unit capacity were noted, alongside chromosome 7 aberrations in 16% of patients on cytogenetic studies., Conclusions: Our findings establish BM dysfunction as a persistent hallmark of SLSMD syndromes, posing a risk of clonal evolution and acquisition of chromosome 7 aberrations. This aligns with recent literature, emphasizing enduring BMF in SLSMD syndromes and advocating for tailored hematological monitoring guidelines for this unique patient cohort., (© 2024 The Author(s). Pediatric Blood & Cancer published by Wiley Periodicals LLC.)

Background: We assessed real-life glycemic outcomes and predictors of composite measures of optimal glycemic control in children and adolescents with type 1 diabetes (T1D) during their initial 12 months of the MiniMed™ 780G use. Methods: This prospective observational multicenter study collected demographic, clinical, and 2-week 780G system data at five time points. Optimal glycemic control was defined as a composite glycemic control (CGC) score requiring the attainment of four recommended continuous glucose monitoring (CGM) targets, as well as the glycemia risk index (GRI) of hypoglycemia and hyperglycemia and composite CGM index (COGI). Outcome measures included longitudinal changes in multiple glycemic parameters and CGC, GRI, and COGI scores, as well as predictors of these optimal measures. Results: The cohort included 93 children, 43% girls, with a median age of 15.1 years (interquartile range [IQR] 12.9,17.0). A longitudinal analysis adjusted for age and socioeconomic index yielded a significant improvement in glycemic control for the entire cohort ( p time < 0.001) after the transition to 780G. The mean hemoglobin A1c (HbA1c) (SE) was 8.65% (0.12) at baseline and dropped by >1% after 1 year to 7.54% (0.14) ( p time < 0.001). Optimal glycemic control measures improved at 12 months post 780G; CGC improved by 5.6-fold ( P < 0.001) and was attained by 24% of the participants, the GRI score improved by 10-fold ( P = 0.009) and was achieved by 10% of them, and the COGI improved by 7.6-fold ( P < 0.001) and was attained by 20% of them. Lower baseline HbA1c levels and increased adherence to Advanced Hybrid Closed-Loop (AHCL) usage were predictors of achieving optimal glycemic control. Conclusions: The AHCL 780G system enhances glycemic control in children and adolescents with T1D, demonstrating improvements in HbA1c and CGM metrics, albeit most participants did not achieve optimal glycemic control. This highlights yet ongoing challenges in diabetes management, emphasizing the need for continued proactive efforts on the part of health care professionals, youth, and caregivers.

Introduction: At the end of the last century Fragile X syndrome was identified, and the main syndrome characteristics were discovered. The syndrome is caused from a flaw in the number of nucleotide repeats that encodes for a regulatory protein which is critical for neural connectivity and normal brain development. The syndrome is characterized by neurodevelopmental and intellectual disabilities, autism spectrum features and other clinical features associated with the same gene aberration. The number of trinucleotide repeats have a direct effect on the outcome and the need for genetic counseling. We advocate performing genetic tests for every child with developmental delay, learning disabilities, autism spectrum disorders and especially, intellectual impairment. It is also advisable to check the number of nucleotide repeats of the gene, in every woman suffering from infertility or early menopause. In addition, genetic testing should be performed on older adults manifesting early symptoms of Parkinson's disease, balance instability, tremor or cognitive dysfunction with unknown etiology. Due to the tremendous progress in understanding the biological mechanisms of the syndrome, new molecules/drugs have been proposed and are tested, in order to find a way to bypass the defect mechanism underlying the disorder. We will review the most commonly used drugs in the treatment of Fragile X syndrome and many medications that are currently under investigation as a more targeted treatment.

Introduction: Fragile X Syndrome (FXS), the most common form of inherited mental retardation, is caused by a trinucleotide repeat expansion (CGG) in the 5'-untranslated region of the Fragile X Mental Retardation 1 (FMR1) gene located at Xq27.3. Patients with fragile X -related mental retardation, carry the full mutation CGG-repeat expansions (>200 CGG repeats), which are generally accompanied by hypermethylation of the promoter region, with the consequent transcriptional silencing of the FMR1 gene and absence of the encoded FMR1 protein (FMRP). Expansion of the CGG triplet number above the normal range (n=5-54) towards the so-called premutation status (n=55-199) is associated with increased risk for Fragile X-Associated Premature Ovarian Insufficiency (FXPOI) in females and Fragile X-Associated Tremor/ Ataxia Syndrome (FXTAS) predominantly in males. In addition, premutation women carriers are at increased risk for learning disabilities, as well as psychologic, endocrine, autoimmune and metabolic disorders. The observation that premutation carriers, both males and females, have increased FMR1 transcript levels, led researchers to suggest a similar molecular pathogenesis in both FXPOI and FXTAS. Two models have been proposed as the culprits of FXTAS and FXPOI: The toxic RNA gain-of-function model and the Repeat Associated Non-AUG initiated (RAN) translation protein toxicity model. The Fragile X Multidisciplinary Center in Sheba Medical Center, at Tel Hashomer includes a team of geneticists, fertility specialists, endocrinologists, psychologists and neurologists who work together in order to provide early detection of FMR1 premutation carriers and offer FMR1 premutation carriers and their families adequate multidisciplinary medical consultation, follow-up and care.