Molecular Genetic Diagnosis with Targeted Next Generation Sequencing in a Cohort of Turkish Osteogenesis Imperfecta Patients and Their Genotype-phenotype Correlation.

Introduction: Osteogenesis imperfecta (OI) is a group of phenotypically and genetically heterogeneous connective tissue disorders that share similar skeletal anomalies causing bone fragility and deformation. This study aimed to investigate the molecular genetic etiology and determine the relationship between genotype and phenotype in OI patients with targeted next-generation sequencing (NGS). Method: In patients with OI, a targeted NGS analysis panel (Illumina TruSight One) containing genes involved in collagen/bone synthesis was performed on the Illumina Nextseq550 platform. Results: Fifty-six patients (female/male: 25/31) from 46 different families were enrolled in the study. Consanguinity between parents was noted in 15 (32.6%) families. Clinically according to Sillence classification; 18(33.1%) patients were considered to type I, 1(1.7%) type II, 26(46.4%) type III and 11(19.6%) type IV. Median body weight was -1.1 (-6.8, - 2.5) SDS, and height was -2.3 (-7.6, - 1.2) SDS. Bone deformity was detected in 30 (53.5%) of the patients, while 31 (55.4%) were evaluated as mobile. Thirty-six (60.7%) patients had blue sclera, 13 (23.2%) had scoliosis, 12 (21.4%) had dentinogenesis imperfecta (DI), and 2 (3.6%) had hearing loss. Disease-causing variants in COL1A1 and COL1A2 genes were found in 24 (52.1%) and 6 (13%) families, respectively. In 8 (17.3%) of the remaining 16 (34.7%) families, the NGS panel revealed disease-causing variants in three different genes (FKBP10, SERPINF1, and P3H1). Nine (23.6%) of the variants detected in all investigated genes were not previously reported in the literature and were classified to be pathogenic according to ACMG guidelines pathogenity scores. In ten (21.7%) families, a disease-related variant was not found in a total of 13 OI genes included in the panel. Conclusion: Genetic etiology was found in 38 (82.6%) of 46 families by targeted NGS analysis. In addition, 9 new variants were assessed in known OI genes which is a significant contribution to the literature.

The psychosocial outcomes of advanced hybrid closed-loop system in children and adolescents with type 1 diabetes.

The study was carried out to determine the psychosocial outcomes of advanced hybrid closed-loop (AHCL) systems in children and adolescents with type 1 diabetes (T1D). Single-center and cohort study with a duration 6 months consisted of 60 children and adolescents with T1D. Standard clinical procedures, including both glycemic indicators, e.g., sensor-measured time within the 70-180 mg/dL range and glycated hemoglobin (HbA1c) levels, and psychosocial metrics were used for data collection. The psychosocial metrics included the Pediatric Quality of Life Inventory (PedsQL) 3.0 Diabetes Module for both children (8-12 years) and parents; the Quality of Life for Youth scale for adolescents (13-18 years); the Strengths and Difficulties Questionnaire (SDQ); the Hypoglycemia Fear Survey for Children (HFS-C); the Revised Child Anxiety and Depression Scale (R-CADS); and AHCLS-specific DTSEQ satisfaction and expectation survey. These metrics were evaluated at the baseline and after 6 months of AHCL use. Of the 60 children and adolescents with T1D for whom the AHCL system was utilized, 41 of them, 23 female and 18 male, completed the surveys. The mean age of the 41 children and adolescents was 12.5 ± 3.2 (min. 6.7, max. 18) years. The time spent within the target glycemic range, i.e., time-in-range (TIR), improved from 76.9 ± 9% at the baseline to 80.4 ± 5% after 6 months of AHCL system use (p = 0.03). Additionally, HbA1c levels reduced from 7.1% ± 0.7% at the baseline to 6.8% ± 0.8% after 6 months of AHCL system use (p = 0.03). The most notable decline in HbA1c was observed in participants with higher baseline HbA1c levels. All patients' HFS-C and AHCL system-specific DTSEQ satisfaction and expectation survey scores were within the normal range at the baseline and remained unchanged during the follow-up period. No significant difference was found in the R-CADS scores of children and adolescents between baseline and after 6 months of AHCL system use. However, there was a significant decrease in the R-CADS scores of the parents. Patients' PedsQL scores were high both at the baseline and after 6 months. The SDQ scores were high at baseline, and there was no significant improvement at the end of 6 months.  Conclusion: This is the first study to investigate in detail the psychosocial outcomes of AHCL system use in T1D patients and their parents. Although state-of-the-art technologies such as AHCL provide patients with more flexibility in their daily lives and information about glucose fluctuations, the AHCL resulted in a TIR above the recommended target range without a change in QOL, HFS-C, SDQ, and R-CADS scores. The scores obtained from the R-CADS conducted by the parents of the children indicated that the use of pumps caused a psychological improvement in the long term, with a significant decrease in the R-CADS scores of the children and adolescents with T1D. What is Known: • Previous studies focused on clinical outcomes of AHCL systems in pediatric T1D patients, showing glycemic control improvements. • Limited attention given to psychosocial outcomes of AHCL systems in children and adolescents with T1D. • Crucial psychosocial factors like quality of life, emotional well-being, and fear of hypoglycemia underexplored in AHCL system context. What is New: • First study to comprehensively examine psychosocial outcomes of AHCL systems in pediatric T1D patients. • Study's robust methodology sets new standard for diabetes technology research and its impact on qualiy of life.

Does minimed 780GTM insulin pump system affect energy and nutrient intake?: long-term follow-up study.

OBJECTIVE: We evaluate the energy and nutrient intake of children, adolescents, and young adults with type 1 diabetes (T1D) who started to use automated insulin delivery (AID) systems before the transition and during follow-up for 6 months in a real-world setting. RESEARCH DESIGN AND METHODS: Twenty-nine people with T1D (PwD) who started to use MiniMed 780GTM participated in the study. Participants' 3-day food diaries and glycemic outcomes were analyzed at baseline and after (the 3rd and 6th month) switching to an advanced hybrid closed-loop system (a-HCL). RESULTS: Mean carbohydrate, protein, and fat intake (energy %) at baseline were 49.1 ± 4.5, 17.8 ± 2.3, and 33.0 ± 3.9, respectively, and there were no statistically significant differences during the follow-up period. However, low fiber (<14 g/1000 kcal) and high saturated fat (>10 energy %) intake in PwD, both baseline and follow-up period. The median auto-correction bolus ratio was 14.0 (9.5)% at auto mode after 14 days, 18.0 (11.0)% at the 3rd month, and 19.0 (7.5)% at the 6th month (p < 0.05). A negative correlation was present between auto-correction boluses with TIR in both the 3rd (r:-0.747, p < 0.01) and 6th month (r:-0.395, p < 0.05). A negative correlation was present between auto-correction boluses with TIR in both the 3rd (r:-0.747, p < 0.01) and 6th month (r:-0.395, p < 0.05). CONCLUSIONS: a-HCLS systems offer better glycemic control. Using the Minimed 780 GTM insulin pump system didn't change the energy and nutrient intake of PwD. This real-world follow-up study suggests that children, adolescents, and young adults with T1D consume saturated fat above and fiber intake lower than recommendations independent of the use of a-HCLS. CLINICAL TRIALS REGISTRATION NUMBER: NCT05666596.

Adherence to Growth Hormone Treatment in Children During COVID-19 Pandemic

Objective: Treatment adherence is crucial for the success of growth hormone (GH) therapy. Reported nonadherence rates in GH treatment have varied widely. Several factors may have an impact on adherence. Apart from these factors, the global impact of the COVID-19 pandemic, including problems with hospital admission and routine follow-up of patients using GH treatment, may have additionally affected the adherence rate. The primary objective of this study was to investigate adherence to treatment in patients receiving GH. In addition, potential problems with GH treatment during the pandemic were investigated. Materials and Methods: This was a multicenter survey study that was sent to pediatric endocrinologists in pandemic period (June 2021-December 2021). Patient data, diagnosis, history of pituitary surgery, current GH doses, duration of GH therapy, the person administering therapy (either parent/patient), duration of missed doses, reasons for missed doses, as well as problems associated with GH therapy, and missed dose data and the causes in the recent year (after the onset of the pandemic) were queried. Treatment adherence was categorized based on missed dose rates over the past month (0 to 5%, full adherence; 5.1 to 10% moderate adherence; >10% nonadherence). Results: The study cohort consisted of 427 cases (56.2% male) from thirteen centers. Median age of diagnosis was 8.13 (0.13-16) years. Treatment indications were isolated GH deficiency (61.4%), multiple pituitary hormone deficiency (14%), Turner syndrome (7.5%), idiopathic GH deficiency (7.5%), small for gestational age (2.8%), and "others" (6.8%). GH therapy was administered by parents in 70% and by patients in 30%. Mean daily dose was 32.3 mcg/kg, the annual growth rate was 1.15 SDS (min -2.74, max 9.3). Overall GH adherence rate was good in 70.3%, moderate in 14.7%, and poor in 15% of the patients. The reasons for nonadherence were mainly due to forgetfulness, being tired, inability to access medication, and/or pen problems. It was noteworthy that there was a negative effect on adherence during the COVID-19 pandemic reported by 22% of patients and the main reasons given were problems obtaining an appointment, taking the medication, and anxiety about going to hospital. There was no difference between genders in the adherence rate. Nonadherence to GH treatment decreased significantly when the patient: administered the treatment; was older; had longer duration of treatment; and during the pandemic. There was a non-significant decrease in annual growth rate as nonadherence rate increased. Conclusion: During the COVID-19 pandemic, the poor adherence rate was 15%, and duration of GH therapy and older age were important factors. There was a negative effect on adherence during the pandemic period.

Investigation of the molecular genetic causes of non-syndromic primary ovarian insufficiency by next generation sequencing analysis.

Objective: The aim of this study is to investigate the molecular genetic causes of non-syndromic primary ovarian insufficiency (POI) cases with the gene panel basedon next generation sequencing analysis and to establish the relationship between genotype and phenotype. Materials and methods: Twenty three cases aged 14-40 years followed up with POI were included. Patients with a karyotype of 46, XX, primary or secondary amenorrhea before the age of 40, with elevated FSH (>40 IU/mL) and low AMH levels (<0.03 ng/mL) were included in the study. Molecular genetic analyzes were performed by the next generation sequencing analysis method targeted with the TruSight TM Exome panel. Results: Median age of the cases was 17.8 (14.0-24.3) years, and 12 (52%) cases admitted before the age of 18. Fifteen (65%) patients had consanguineous parents. In2 (8.6%) cases, variants detected were in genes that have been previously proven to cause POI. One was homozygous variant in FIGLA gene and the other was homozygous variant in PSMC3IP gene. Heterozygous variants were detected in PROK2, WDR11 and CHD7 associated with hypogonadotropic hypogonadism, but these variants are insufficient to contribute to the POI phenotype. Conclusion: Genetic panels based on next generation sequencing analysis technologies can be used to determine the molecular genetic diagnosis of POI, which has a highly heterogeneous genetic basis.

A case-control study of early-stage radiological markers of endothelial dysfunction and cardiovascular findings in patients with osteogenesis imperfecta: genotype-phenotype correlations.

OBJECTIVES: Osteogenesis imperfecta (OI) is a disease caused by defective collagen synthesis. Collagen type 1 is found in many structures in the cardiovascular system. Endothelial dysfunction, which develops prior to the emergence of structural and clinical signs of atherosclerosis, is believed to play a key role in atherogenesis. Endothelial dysfunction may be detected presymptomatically by non-invasive radiologic methods, such as flow-mediated dilatation (FMD) and carotid intima-media thickness (CIMT). These modalities may provide early indicators of endothelial dysfunction. This cross-sectional comparative study aimed to investigate early-stage radiological markers of endothelial dysfunction and cardiovascular diseases in OI patients and healthy controls and to investigate the correlation of findings with OI genotype. METHODS: Thirty patients diagnosed with OI were paired with thirty healthy age- and gender-matched controls and echocardiogram findings were compared. RESULTS: None of the patients had known underlying cardiovascular disease. The mean age was 13.18 ± 2.91 years. According to Sillence classification, 15 patients had type 1 OI, 10 had type III, and 5 had type IV. Mean CIMT in the OI group was higher in the control group (OI group: 0.42 ± 0.06 vs. healthy controls: 0.34 ± 0.04 mm, p<0.01), and mean FMD percent was lower in the patient group (p<0.01). Left ventricular ejection fraction was 78.97 ± 10.32 vs. 77.56 ± 8.50 %, (OI group: 7.00 ± 3.06 vs. healthy controls: 12.14 ± 1.99, p=0.56), and fractional shortening was 42.68 ± 11.94 vs. 40.23 ± 7.99 %, (p=0.35), in OI patients and controls, respectively. CONCLUSIONS: Pediatric patients with OI without clinical signs of cardiovascular abnormality had significantly worse CIMT and FMD findings than healthy controls. However, no difference was determined when comparing left ventricular ejection fraction or fractional shortening. OI patients may need to be screened for cardiovascular system complications starting from an early age.

Molecular diagnosis in patients with monogenic diabetes mellitus, and detection of a novel candidate gene.

AIM: We aimed to investigate molecular genetic basis of monogenic diabetes (DM) and novel responsible candidate genes with targeted Next Generation Sequencing (NGS) and Whole Exome Sequencing (WES). METHODS: A hundred cases presenting with clinical findings and a family history of monogenic DM were included in the study. Molecular analysis was performed using an NGS panel including 14 genes. Following targeted NGS, WES was planned in cases in whom no variant was detected. RESULTS: Thirty different disease-causing variants in seven different genes were detected in thirty-five (35 %) cases with targeted NGS approach. Most common pathogenic variant was found in GCK gene in 25 (25 %) cases. Four different variants were detected in 4 (4 %) patients in ABCC8 gene. In 45 of 65 cases; WES analyses were done. A heterozygous c.2635C > T(p.Gln879Ter) variant was detected in IFIH1 gene in a patient with incidental hyperglycemia. In the segregation analysis affected mother was shown to be heterozygous for the same variant. CONCLUSION: Molecular etiology was determined in 35 % cases with the NGS targeted panel. Seventeen novel variants in monogenic DM genes have been identified. A candidate gene determined by WES analysis in a case that could not be diagnosed with NGS panel in this study.

Continuous Glucose Monitoring Systems and the Efficacy of Acarbose Treatment in Cystic Fibrosis-related Dysglycemia.

Early detection of glycemic dysregulation and optimization of glycemic control at cystic fibrosis related diabetes (CFRD) is associated with improved pulmonary function and decreased mortality. The standard 2-hour oral glucose tolerance test (OGTT) is the current routine screening test for CFRD. However, hyperglycemia can be detected by continuous glucose monitoring systems (CGMS) in patients with normal OGTT evaluation. High-dose acarbose is an important alternative, in the treatment of glycemic dysregulation especially accompanied by hypoglycemia. A 7-year-old boy with cystic fibrosis (CF) presented with hyperglycemia. Hypoglycemia (29 mg/dL) and hyperglycemia (400 mg/dL) were demonstrated by OGTT and intermittent CGM (iCGMS). Thickener was added to nutritional solutions and acarbose was initiated as 3x12.5 mg /dose and increased to 6x25 mg without any side effects. On the 20th day of treatment, glycemic dysregulation was resolved. In the early detection of CFRD, screening with OGTT after the age of 10 is insufficient; therefore, routine use of continous or intermittent glucose monitoring systems should be considered. In addition, in CFRDs with severe hypoglycemia, acarbose is an important alternative in the high and increased dose range.

Effect of metabolic control on cognitive functions in children and adolescents with type 1 diabetes mellitus.

OBJECTIVES: Neurocognitive functions of children with type 1 diabetes mellitus (T1D) are reported to be poorer than those of healthy peers. The aim was to investigate the effects of age of onset of diabetes, metabolic control, and type of insulin regimen on neurocognitive functions in children and adolescents with T1D. METHODS: Forty-seven children aged 6-18 years, with T1D for at least five years, were included. Children with a known psychiatric disorder or chronic diseases other than T1D were excluded. Intelligence via the Wechsler children's intelligence scale (WISC-R), short-term memory via the audio-auditory digits form B (GISD-B) test, visual motor perception via the Bender Gestalt test, and attention via the Moxo continuous attention and performance test, timing, hyperactivity, and impulsivity (Moxo-dCPT) were assessed. RESULTS: Compared with the T1D group, healthy controls had higher scores in terms of verbal intelligence quotient (IQ), performance IQ, and total IQ mean scores on WISC-R (p=0.01, p=0.05 and p=0.01, respectively). On the MOXO-dCPT test, the T1D group had higher impulsivity compared to the control group (p=0.04). Verbal IQ was better in the moderate control group than in the poorer metabolic control (p=0.01). Patients with no history of diabetic ketoacidosis (DKA) had higher performance, verbal and total intelligence scores than the group with history of DKA. CONCLUSIONS: Poor metabolic control and a history of DKA in children with T1D adversely affected neurocognitive functions. It would be beneficial to consider the assessment of neurocognitive functions in T1D and to take the necessary precautions in follow-up.

ABCC8-related maturity-onset diabetes of the young: switching from insulin to sulphonylurea therapy: how long do we need for a good metabolic control?

OBJECTIVES: Activating variants of the ABCC8 gene cause neonatal diabetes or maturity-onset diabetes of the young (MODY). We report three cases of MODY type 12 caused by variants in the ABCC8 encoding sulphonylurea receptor 1, and the experience of switching from insulin therapy to sulphonylurea therapy. CASE PRESENTATIONS: We describe a 12.5-year-old girl with permanent neonatal diabetes mellitus, and two diabetes mellitus cases with variants in the ABCC8 gene. Two of these cases were successfully switched from subcutaneous insulin to oral glibenclamide, with a marked improvement in glycemic control. In permanent neonatal diabetes case, glibenclamide dose was progressively increased to achieve a full dose (2 mg/kg/day) in 9 days. Nine months after starting oral sulphonylurea therapy, her blood glucose control dramatically improved and insulin therapy was discontinued. CONCLUSIONS: We conclude that patients with ABCC8 gene variants can successfully switch from insulin to sulphonylureas.

The Effect of the SARS-CoV-2 Pandemic on Presentation with Diabetic Ketoacidosis in Children with New Onset Type 1 Diabetes Mellitus

Objective: Diabetic ketoacidosis (DKA) is a life-threatening, acute complication of type 1 diabetes mellitus (T1DM). Infection is the most common precipitating factor for DKA, being responsible for more than 50% of such complications. The frequency and severity of DKA in children with T1DM, before and during the coronavirus disease 2019 outbreak were evaluated and compared with pre-pandemic presentation and severity rates. Methods: In total, 199 patients younger than 18 years were included in the study. Patients were divided into two groups: the Coronavirus disease-2019 (COVID-19) pandemic group (new onset T1DM presenting from March 2020 to March 2021; the control group included new onset T1DM from March 2016 to March 2020. Results: The rate of DKA at presentation was similar (p=0.393) during the pandemic period (58.3%) compared to the pre-pandemic years (44.8-64.3%). Although the percentage of DKA was similar, the rate of severe DKA in the COVID-19 group was higher than previous years. Although not significant, the duration of diabetes symptoms was longer in the COVID-19 period than the previous years. Conclusion: This study suggests that the rate of severe DKA, but not the overall rate of DKA, has increased during the COVID-19 pandemic compared to the prior four years. This may be due to the behavior of the parents of sick children and the limited access to the healthcare system. Despite this limited access, parental concern may have been sufficiently high to seek medical attention for their children, avoiding an increased frequency of DKA as the first presentation of new-onset T1DM.

Novel Modified Algorithm for High Fat/High Energy Density Meal in Type 1 Diabetes: Less Hypoglycemia

Objective: This aim of this study was to investigate the effect of additional insulin dosing for high fat/high energy density mixed meal over 12 hours. Methods: In this single-center, non-blinded, randomized, cross-over study, a high fat/high energy density test meal was used to study the impact on glycemic response of either carbohydrate counting (CC) on the first day and the Pankowska algorithm (PA) on the second test day. The two methods were compared in 20 adolescents with type 1 diabetes (T1D), aged 9-18 years, using insulin pump therapy and continuous glucose monitoring on postprandial early (0-120 min), late (120-720 min), and total (0-720 min) glycemic response. Results: There was no difference between groups in the duration of normoglycemia in the early period. Postprandially, 50% of patients developed hypoglycemia using the PA at a median of 6.3 (5.6-7.9) hours and the PA was subsequently modified for the remaining ten patients. Area under the curve (AUC) for the early period decreased non-significantly in the CC group, indicating less normoglycemia. No significant difference was found in the AUC of the PA (no hypoglycemia n=4) and modified PA groups (no hypoglycemia n=6) over the whole period (0-12 hours). AUC for level 2 hyperglycemia was statistically greater in the PA-no hypoglycemia patients compared to modified PA-no hypoglycemia patients. Conclusion: There were inter-individual differences in glycemic response to high fat/high energy density meals. An individualized approach to insulin dosing by evaluating food diary and postprandial glucose monitoring appears to be optimal for children and adolescents with T1D.

Molecular genetic etiology by whole exome sequence analysis in cases with familial type 1 diabetes mellitus without HLA haplotype predisposition or incomplete predisposition.

OBJECTIVES: Familial transmission is observed in approximately 10% of cases with type 1 diabetes mellitus (T1DM). The most important gene determining susceptibility is the human leukocyte antigen complex (HLA) located on chromosome 6. More than 50 susceptible loci are associated with T1DM susceptibility have been identified in genes other than HLA. In this study, it was aimed to investigate the molecular genetic etiology by whole-exome sequence (WES) analysis in cases with familial T1DM with no or weakly detected HLA tissue type susceptibility. We aimed to identify new genes responsible for the development of type 1 diabetes and to reveal new genes that have not been shown in the literature before. METHODS: Cases with at least one T1DM diagnosis in first-degree relatives were included in the study. In the first step, HLA DQ2 and DQ8 loci, which are known to be associated with T1DM susceptibility, were investigated by. In the second step, the presence of variants that could explain the situation was investigated by WES analysis in patients who were negative for both HLA DQ2 and HLA DQ8 haplotypes, HLA DQ2 negative, HLA DQ8 positive, and HLA DQ2 positive and HLA DQ8 negative patients. RESULTS: The mean age and duration of diabetes of the 30 cases (Girl/Male: 17/13) were 14.9 ± 6 and 7.56 ± 3.84 years, respectively. There was consanguineous marriage in 5 (16%) of the families. As a result of filtering all exome sequence analysis data of two cases with DQ2 (DQB1*02) (-) and DQ8 (DQB1*03:02) (-), seven cases with DQ2 (DQB1*02) (+) and DQ8 (DQB1*03:02) (-), and one case with DQ2 (DQB1*02) (-) and DQ8 (DQB1*03:02) (+), seven different variants in seven different genes were detected in five cases. The pathogenicity of the detected variants were determined according to the "American College of Medical Genetics and Genomics (ACMG)" criteria. These seven variants detected were evaluated as high-score VUS (Variants of unknown/uncertain significance). In the segregation study conducted for the mutation in the POLG gene detected in case 5, this variant was detected in the mother of the case and his brother with T1DM. Segregation studies are ongoing for variants detected in other affected individuals in the family. CONCLUSIONS: In conclusion, in this study, seven different variants in seven different genes were detected in five patients by WES analysis in familial T1DM patients with no or weak HLA tissue type susceptibility. These seven variants detected were evaluated as high-score VUS. POLG might be a novel candidate gene responsible for susceptibility to T1DM. Non-HLA genes directly responsible for the development of T1DM were not detected in any of the cases.

The negative impact of levothyroxine treatment on urinary luteinizing hormone measurements in pediatric patients with thyroid disease.

Objectives: Previous studies suggest urinary luteinizing hormone (LH) and follicle-stimulating hormone (FSH) measurements by immunofluorometric assays (IFMA) as noninvasive alternatives to serum assays for puberty assessment. However, these studies excluded patients with other endocrine disorders and those taking medications. Besides, the recent discontinuation of IFMA manufacturing is a concern. We explored the utility of luminometric assays (LIA) for urinary gonadotropins and thyroid-stimulating hormone (TSH) determinations in euthyroid patients with thyroid pathologies. Methods: We used LIA and IFMA assays to measure serum and first-morning-voided (FMV) urine LH, FSH, and TSH concentrations in euthyroid patients with various thyroid disorders. Of the 47 euthyroid patients with normal serum TSH (S-TSH) levels, 14 were receiving levothyroxine therapy. Results: FMV total urinary LH (U-LH) concentrations correlated significantly with those measured in serum using either LIA (r=0.67, P<.001) or IFMA (r=0.83, P=.003) in patients not receiving levothyroxine treatment; however, no significant correlation could be detected in patients receiving levothyroxine regardless of the assay method (for LIA: r=0.50, P=.08 and IFMA r=0.44, P=.15). Urinary TSH (U-TSH) concentrations correlated poorly with those in serum in both the untreated and the treated groups (r=-0.13, P=.49, and r=-0.45, P=.11, respectively). Conclusion: FMV total U-LH determinations by LIA can be used to assess pubertal development in patients with thyroid pathology, provided the euthyroid patient is not on levothyroxine treatment. U-TSH measurements by LIA cannot replace invasive S-TSH measurements at least in patients with normal S-TSH levels. Further research may reveal the utility of U-TSH determinations in patients with elevated S-TSH levels.

Association between clinical variations and copy number variations in cases with Turner syndrome.

OBJECTIVES: Turner syndrome (TS) is one of the most common chromosomal abnormalities with an incidence of approximately one in 2,500 live births. Short stature and primary ovarian insufficiency are two most important characteristic findings of TS. Turner syndrome karyotypes include monosomy X, mosaic structure and X chromosome structural anomalies. Genotypic and phenotypic characteristics vary among cases. This study aimed to evaluate the clinical variations observed in TS cases with the copy number variations (CNV) detected by microarray study. METHODS: Fifty-three patients diagnosed with TS, between the ages of 0-18 were included in the study. Peripheral blood samples were taken from 36 cases for microarray study. RESULTS: Karyotypes were as follows: thirty-three of cases were 45,X, 7 were 45,X/46,XX, 6 were 45,X/46,Xi(Xq), 2 were 46,Xi(Xq), 2 were 45,X/46,r(X), 1 was 45,X/46,Xi(Xp), 1 was 45,X/46,XY and 1 was 45,X/46,X+mar(idicY) karyotype. A significant correlation was found between karyotype groups and FSH values of the cases (p=0.034). In monosomy X and mosaic isochromosome Xq cases, the FSH value was found to be significantly higher than those with 45,X/46,XX mosaic karyotype. CNVs were found in 8 (22.2%) out of 36 cases whose microarray study was performed. Unexpected atypical findings were discussed in the light of the characteristics of CNVs. CONCLUSIONS: In conclusion, the microarray method has a great contribution in explaining many unexpected findings in TS cases. Moreover, those CNV findings may contribute for the explanation of the underlying mechanisms of those anomalies.

Does COVID-19 predispose patients to type 1 diabetes mellitus?

The novel coronavirus disease (COVID-19) has emerged as a global pandemic. This was a prospective, case-control study conducted in Izmir, Turkey. The aim of this study was to assess the relationship between COVID-19 and new-onset T1DM. We included pediatric patients (aged 6 mo-18 yr) with new-onset type-1 diabetes mellitus (T1DM) diagnosed during the COVID-19 pandemic, between April 2020 and January 2021. Polymerase chain reaction was used to diagnose COVID-19 after hospital admission. An enzyme-linked immunoassay for IgM and IgG against SARS-CoV-2 was performed after the diagnosis was confirmed. In the control group, the blood antibody test was conducted as close as possible to the time of the T1DM patient referral. A total of 118 participants were included in the study, comprising 57 (48%) patients with new-onset T1DM and 61 (52%) healthy controls. Of the 57 patients, 36 (63.2%) presented with DKA, 17 (29.7%) with diabetic ketosis, and four (7%) incidentally. The SARS-CoV-2 antibody test was positive in five (8.7%) patients with T1DM and six (10%) controls. The rate of positivity did not differ between the two groups (p = 0.901). It was not possible to demonstrate a clear association between SARS-CoV-2 infection and new-onset T1DM. Whether SARS-CoV-2 increases susceptibility to diabetes by triggering islet cell autoimmunity and affects the timing of overt diabetes in patients with existing autoimmunity should be studied in large cohorts.

Local complications of insulin administration sites and effect on diabetes management.

BACKGROUND: Administration of insulin may be associated with substantial cutaneous adverse effects, such as lipoatrophy and lipohypertrophy (LH), which can cause glycemic excursions above and below the target levels for blood glucose. Our aim was to evaluate the effect on compliance with the use of insulin administration site, dermatological complications and diabetes management in children with type 1 diabetes (T1D). METHODS: Patients aged 0 - 21 years who were followed up with the diagnosis of T1D for at least one year were included. A 14-question survey including demographic characteristics and a subjective opinion of skin-related complications of insulin administration was given. Data were obtained from the medical records to evaluate the effect of dermatological complications on diabetes management. This study was checked with the STROBE checklist. RESULTS: Two hundred and fifty-four patients were included and 53% of these were female. The mean age was 14.9 ± 4.7 years and the duration of T1D was 7.3 ± 4.1 years. The mean HbA1c level was 8 ± 1.4% and the mean total insulin dose was 0.84 ± 0.25 units/kg/day. More than half of the individuals (57%) were receiving multiple daily injections (MDI) and 43% were on insulin pump therapy (IPT). Of the participants, 11.8% reported LH, 7.5% wound, 21.7% allergy, 55.5% bleeding, 41.3% bruising and 47.2% pain. LH rates varied significantly by regimen, 17.1% in MDI and 4.6% with IPT (p = .001). Those with LH were using higher median doses of insulin (0.97 U/kg/day) than those who did not (0.78 U/kg/day; p = .016). LH was reported more frequently (18.3%) in patients with frequent hypoglycemia (p = .007). Positive correlation between BMI-SDS and LH in patients aged <18 years was found (p = .043). LH rates by site were: right arm 20.8%, left arm 26.4%, right abdomen 26.4%, left abdomen 22.6% and 1% in the right and left leg. CONCLUSIONS: Local complications of insulin therapy are common in young patients with T1D. The complication with the most impact on metabolic control was LH, present in nearly 12% of patients. Users of IPT have a significantly lower risk of LH. The results emphasise the importance of individualised education for young T1D patients and their families about injection site preference and rotation techniques. RELEVANCE TO CLINICAL PRACTICE: The diabetes team should check the insulin administration sites of children with type 1 diabetes at each visit and provide repeated education about the dermatological complications of insulin.

Molecular Diagnosis of Monogenic Diabetes and Their Clinical/Laboratory Features in Turkish Children

Objective: Monogenic diabetes is a heterogeneous disease that causes functional problems in pancreatic beta cells and hyperglycemia. The aim of this study was to determine the clinical and laboratory features, the admission characteristics and distribution of monogenic form of diabetes in childhood in Turkey. Methods: Patients aged 0-18 years, who were molecularly diagnosed with monogenic diabetes, and consented to participate, were included in the study. Results: Seventy-seven (45.6%) female and 92 male cases with a mean age of 8.18±5.05 years at diagnosis were included. 52.7% of the cases were diagnosed with monogenic diabetes by random blood glucose measurement. The reason for genetic analysis in 95 (56.2%) of cases was having a family member diagnosed with diabetes under the age of 25. At the time of diagnosis, ketone was detected in urine in 16.6% of the cases. Mean hemoglobin A1c on admission, fasting blood glucose, fasting insulin, and c-peptide values were 7.3±2.1%, 184.9±128.9 mg/dL, 9.4±22.9 IU/L, 1.36±1.1 and ng/L respectively. GCK-MODY was found in 100 (59.2%), HNF1A-MODY in 31 (18.3%), and variants in ABCC8 in 6 (3.6%), KCNJ11 in 5 (3%), HNF4A in 2 (1.2%), and HNF1B in 2 (1.2%). Conclusion: Recent studies have indicated HNF1A-MODY is the most frequent of all the MODY-monogenic diabetes cases in the literature (50%), while GCK-MODY is the second most frequent (32%). In contrast to these reports, in our study, the most common form was GCK-MODY while less than 20% of cases were diagnosed with HNF1A-MODY.

The utility of reverse phenotyping: a case of lysinuric protein intolerance presented with childhood osteoporosis.

OBJECTIVES: Childhood osteoporosis is often a consequence of a chronic disease or its treatment. Lysinuric protein intolerance (LPI), a rare secondary cause of the osteoporosis, is an autosomal recessive disorder with clinical features ranging from minimal protein intolerance to severe multisystemic involvement. We report a case diagnosed to have LPI using a Next Generation Sequencing (NGS) panel and evaluate the utility of reverse phenotyping. CASE PRESENTATION: A fifteen-year-old-boy with an initial diagnosis of osteogenesis imperfecta, was referred due to a number of atypical findings accompanying to osteoporosis such as splenomegaly and bicytopenia. A NGS panel (TruSight One Sequencing Panel) was performed and a novel homozygous mutation of c.257G>A (p.Gly86Glu) in the SLC7A7 gene (NM_001126106.2), responsible for LPI, was detected. The diagnosis was confirmed via reverse phenotyping. CONCLUSIONS: Reverse phenotyping using a multigene panel shortens the diagnostic process.

Treatment and long-term follow-up of patients diagnosed with type 1 diabetes mellitus before age 5.

OBJECTIVES: This study aimed to determine the effects of continuous subcutaneous insulin infusion (CSII) treatment on anthropometric measurements, mean HbA1c, and insulin dosage in patients diagnosed under 5 years of age and compare with multiple-dose injection therapy (MDI). METHODS: Children with type 1 diabetes mellitus, diagnosed <5 years since 2000 and their 19-year follow-up were evaluated retrospectively. Weight, height, body mass index (BMI), blood pressure, and HbA1c values were recorded for each visit. RESULTS: Hundred and five patients (58.1% female, 41.9% male) were included in the study. Sixty-three (60 %) patients were treated by CSII and 42 (40%) by MDI. Mean age at diagnosis was 2.68 ± 1.42 and 3.29 ± 1.30 years respectively. Mean follow-up was 7.42 ± 4.76 and 6.01 ± 4.41 years respectively. For each group, weight standard deviation score (SDS) increased significantly in the first year after the diagnosis (p<0.001), and with the onset of puberty weight SDS decreased significantly (p<0.001). The trend of weight and BMI SDS changes over the years showed similar characteristics in both groups. During follow-up height SDS was similar in both groups except in Tanner stage 5. When puberty was completed, mean height SDS was 0.51 ± 1.03 in CSII and -0.31 ± 0.75 in the MDI group (p: 0.029). Mean HbA1c was significantly lower in the CSII group (7.62 ± 0.82 and 8.17 ± 1.22 respectively). Systolic and diastolic blood pressure change trends during the follow-up were also similar in both groups. CONCLUSIONS: CSII treatment had positive effects on metabolic control and height SDS in patients with early-onset diabetes without increasing BMI.