Performance of intermittently scanned continuous glucose monitoring systems in people with type 1 diabetes: A pooled analysis.

AIMS: To conduct a pooled analysis to assess the performance of intermittently scanned continuous glucose monitoring (isCGM) in association with the rate of change in sensor glucose in a cohort of children, adolescents, and adults with type 1 diabetes. MATERIAL AND METHODS: In this pooled analysis, isCGM system accuracy was assessed depending on the rate of change in sensor glucose. Clinical studies that have been investigating isCGM accuracy against blood glucose, accompanied with collection time points were included in this analysis. isCGM performance was assessed by means of median absolute relative difference (MedARD), Parkes error grid (PEG) and Bland-Altman plot analyses. RESULTS: Twelve studies comprising 311 participants were included, with a total of 15 837 paired measurements. The overall MedARD (interquartile range) was 12.7% (5.9-23.5) and MedARD differed significantly based on the rate of change in glucose (P < 0.001). An absolute difference of -22 mg/dL (-1.2 mmol/L) (95% limits of agreement [LoA] 60 mg/dL (3.3 mmol/L), -103 mg/dL (-5.7 mmol/L)) was found when glucose was rapidly increasing (isCGM glucose minus reference blood glucose), while a -32 mg/dL (1.8 mmol/L) (95% LoA 116 mg/dL (6.4 mmol/L), -51 mg/dL (-2.8 mmol/L)) absolute difference was observed in periods of rapidly decreasing glucose. CONCLUSIONS: The performance of isCGM was good when compared to reference blood glucose measurements. The rate of change in glucose for both increasing and decreasing glucose levels diminished isCGM performance, showing lower accuracy during high rates of glucose change.

Combined therapy with CD4+ CD25highCD127- T regulatory cells and anti-CD20 antibody in recent-onset type 1 diabetes is superior to monotherapy: Randomized phase I/II trial.

AIMS: Monotherapy with autologous expanded CD4+ CD25high CD127- T regulatory cells (Tregs) or rituximab has been documented to slow disease progression in patients with recent-onset type 1 diabetes mellitus (T1DM). Whether a combined therapy including both drugs would further benefit this patient population is unknown. MATERIALS AND METHODS: We conducted a three-arms clinical trial to explore the efficacy and safety of the combined treatment with Tregs and rituximab in paediatric patients with T1DM. The patients were allocated to three groups: Tregs only (n = 13), Tregs + rituximab (n = 12) and control (n = 11). The key primary efficacy analyses were C-peptide levels (mixed meal tolerance test) and the proportion of patients in remission at 12 and 24 months. RESULTS: At month 24, as compared with the control, both treatment groups remained superior in the area under the curve of C-peptide mixed meal tolerance test, whereas in the analysis of all visits only the combined therapy improved area under the curve at 12 and 24 months. The proportion of patients in remission was significantly higher in the combined group than in the control group at 3, 6, 9 and 21 months but not at 18 and 24 months. There was no significant difference between the Tregs only group and control group. Adverse events occurred in 80% patients, mostly in the combined group and Tregs only group. No adverse events led to the withdrawal of the intervention or death. All comparisons were performed with alpha level of 5%. CONCLUSIONS: Over 2 years, combined therapy with Tregs and rituximab was consistently superior to monotherapy in delaying T1DM progression in terms of C-peptide levels and the maintenance of remission.

Diabetic ketoacidosis incidence among children with new-onset type 1 diabetes in Poland and its association with COVID-19 outbreak-Two-year cross-sectional national observation by PolPeDiab Study Group.

BACKGROUND: There are several observations that the onset of coronavirus 19 (COVID-19) pandemic was associated with an increase in the incidence of diabetic ketoacidosis (DKA). However, due to heterogeneity in study designs and country-specific healthcare policies, more national-level evidence is needed to provide generalizable conclusions. OBJECTIVE: To compare the rate of DKA in Polish children diagnosed with type 1 diabetes (T1D) between the first year of COVID-19 pandemic (15 March 2020 to 15 March 2021) and the preceding year (15 March 2019 to 15 March 2020). METHODS: Reference centers in 13 regions (covering ~88% of Polish children) retrospectively reported all new-onset T1D cases in children from assessed periods, including DKA status at admission, administered procedures and outcomes. Secondly, we collected regions' demographic characteristics and the daily-reported number of COVID-19-related deaths in each region. RESULTS: We recorded 3062 cases of new-onset T1D (53.3% boys, mean age 9.5 ± 4.3 years old) of which 1347 (44%) had DKA. Comparing pre- and post-COVID-19 period, we observed a significant increase in the rate of DKA (37.5%-49.4%, p < .0001). The fraction of moderate (+5.4%) and severe (+3.4%) DKA cases increased significantly (p = .0089), and more episodes required assisted ventilation (+2.1%, p = .0337). Two episodes of DKA during 2020/2021 period were fatal. By region, change in DKA frequency correlated with initial COVID-19 death toll (March/April 2020) (R = .6, p = .0287) and change in T1D incidence (R = .7, p = .0080). CONCLUSIONS: The clinical picture of new-onset children T1D in Poland deteriorated over a 2-year period. The observed increase in the frequency of DKA and its severity were significantly associated with the overlapping timing of the COVID-19 epidemic.

Impact of factory-calibrated Freestyle Libre System with new glucose algorithm measurement accuracy and clinical performance in children with type 1 diabetes during summer camp.

BACKGROUND: Factory-calibrated intermittently-scanned Continuous Glucose Monitoring (isCGM) device FreeStyle Libre (FSL) has recently received improvements in its glucose tracking algorithm and calibration procedures, which are claimed to have improved its accuracy. OBJECTIVE: To compare the accuracy of two generations of 14-days FSL devices (A in 2016, B in 2019) to self-monitored blood glucose measurements (SMBG) in children with type 1 diabetes in real-life conditions during a summer camp. MATERIALS AND METHODS: Two largely independent groups of youth with type 1 diabetes took part in summer camps. In 2016 they used FSL-A, in 2019 FSL-B. On scheduled days, participants performed supervised 8-point glucose profiles with FSL and SMBG. The accuracy vs SMBG was assessed with mean absolute relative difference (MARD) and clinical surveillance error grid (SEG). RESULTS: We collected 1655 FSL-SMBG measurement pairs from 78 FSL-A patients (age 13 ± 2.3 years old; HbA1c: 7.6 ± 0.8%) and 1796 from 58 in FSL-B group (age 13.8 ± 2.3 years old, HbA1c: 7.5 ± 1.1%)-in total 3451 measurements. FSL-B displayed lower MARD than FSL-A (11.3 ± 3.1% vs 13.7 ± 4.6%, P = .0003), lower SD of errors (20.2 ± 6.7 mg/dL vs 24.1 ± 9.6 mg/dL, P = .0090) but similar bias (-7.6 ± 11.8 mg/dL vs -6.5 ± 8 mg/dL, P = .5240). Both FSL-A and FSL-B showed significantly higher MARD when glycaemia was decreasing >2 mg/dL/min (FSL-A:22.3 ± 18.5%; FSL-B:17.9 ± 15.8%, P < .0001) compared with stable conditions (FSL-A: 11.4 ± 10.4%, FSL-B:10.1 ± 9.1%) and when the system could not define the glycaemic trend (FSL-A:16.5 ± 16.3%; FSL-B:15.2 ± 14.9%, P < .0001). Both generations demonstrated high percentage of A-class and B-class results in SEG (FSL-A: 96.4%, FSL-B: 97.6%) with a significant shift from B (decrease by 3.7%) to A category (increase by 3.9%) between generations (FSL-A: 16/80.4%; FSL-B:12.3/85.3%, P = .0012). CONCLUSION: FSL-B demonstrated higher accuracy when compared to FSL-A However, when glycemia is decreasing or its trend is uncertain, the verification with a glucose meter is still advisable.

Clinical heterogeneity among pediatric patients with autoimmune type 1 diabetes stratified by immunoglobulin deficiency.

BACKGROUND: Type 1 diabetes (T1D) may coexist with primary immunodeficiencies, indicating a shared genetic background. OBJECTIVE: To evaluate the prevalence and clinical characteristics of immunoglobulin deficiency (IgD) among children with T1D. METHODS: Serum samples and medical history questionnaires were obtained during routine visits from T1D patients aged 4-18 years. IgG, IgA, IgM, and IgE were measured by nephelometry and enzyme-linked immunosorbent assay (ELISA). IgG and IgM deficiency (IgGD, IgMD) were defined as IgG/IgM >2 standard deviations (SD) below age-adjusted mean. IgE deficiency was defined as IgE <2 kIU/L. IgA deficiency (IgAD) was defined as IgA >2 SD below age-adjusted mean irrespective of other immunoglobulin classes (absolute if <0.07 g/L, partial otherwise) and as selective IgAD when IgA >2 SD below age-adjusted mean with normal IgG and IgM (absolute if <0.07 g/L, partial otherwise). RESULTS: Among 395 patients (53.4% boys) with the median age of 11.2 (8.4-13.7) and diabetes duration 3.6 (1.1-6.0) years, 90 (22.8%) were found to have hypogammaglobulinemia. The IgGD and IgAD were the most common each in 40/395 (10.1%). Complex IgD was found in seven patients. Increased odds of infection-related hospitalization (compared to children without any IgD) was related to having any kind of IgD and IgAD; OR (95%CI) = 2.1 (1.2-3.7) and 3.7 (1.8-7.5), respectively. Furthermore, IgAD was associated with having a first-degree relative with T1D OR (95%CI) = 3.3 (1.4-7.6) and suffering from non-autoimmune comorbidities 3.3 (1.4-7.6), especially neurological disorders 3.5 (1.2-10.5). CONCLUSIONS: IgDs frequently coexist with T1D and may be associated with several autoimmune and nonimmune related disorders suggesting their common genetic background.

Above 40% of Polish children and young adults with type 1 diabetes achieve international HbA1c target - results of a nationwide cross-sectional evaluation of glycemic control: The PolPeDiab HbA1c study.

BACKGROUND: Youth with type 1 diabetes (T1D) (16-18 y.o.) present worst disease control of all age groups and need structured interventions. Those should be based on unbiased, national-scale outcomes, which have not yet been successfully assessed in Poland. OBJECTIVE: To evaluate the glycemic control in young patients with T1D in Poland. METHOD: All pediatric diabetes care centers and the nine largest centers for adults with T1D were invited to this cross-sectional study, conducted in March 2018. Eligibility was defined as age ≤ 30 years and diabetes duration ≥1 year. Blinded samples of capillary blood and clinical questionnaires were sent to coordinating center, where HbA1c was measured by high-pressure liquid chromatography. RESULTS: Nine adult and 25/28 pediatric centers participated, providing data for 1255 patients (50.8% males), mean age 12.3 years (95%CI:12.1-12.6) for children and 23.2 years (22.9-23.6) for adults; mean diabetes duration 7.1 years (6.8-7.3). This covered ~8% of pediatric population and 2% of 18-30-years-olds with T1D. Mean HbA1c was comparable between children and adults (57 mmol/mol [7.4%], 95%CI:56-57 mmol/mol [7.3-7.4%] vs. 57 mmol/mol [7.4%], 95%CI:56-60 mmol/mol [7.3-7.6%], p = 0.1870). Overall, 45.2% of patients achieved ISPAD target (<53 mmol/mol [<7.0%]). During the month preceding the study, 0.9% of patients experienced severe hypoglycemia and 0.4% suffered ketoacidosis. HbA1c was related to the method of insulin therapy, continuous glucose monitoring use and body weight (p < 0.0001). CONCLUSIONS: In Polish children and young adults with T1D glycemic control expressed as HbA1c is promising in the light of ISPAD guidelines. Our results confirm the known associations between better glycemic control and the use of new technologies and maintaining optimal body weight.

Nighttime Hypoglycemia in Children with Type 1 Diabetes after one Day of Football Tournament.

The aim of the study was to investigate factors related to the occurrence of nighttime hypoglycemia after a football tournament in children with type 1 diabetes mellitus. The multicenter study (GoalDiab study) included 189 children and adolescents with type 1 diabetes mellitus, from 11 diabetes care centers in Poland. Hypoglycemia was defined according to the International Hypoglycemia Study Group Statement. We analyzed the data of 95 participants with completed protocols with regards to nighttime hypoglycemia (82% male), aged 11.6 (9.8-14.2) years, diabetes duration 5.0 (2.0-8.0) years. There were 47 episodes of nighttime Level 1 hypoglycemia (≤3.9 mmol/L). Occurrence of clinically important Level 2 hypoglycemia (<3.0 mmol/L) during a game period was positively associated with nighttime hypoglycemia (≤3.9 mmol/L) incident (Odds Ratio=10.7; 95% Confidence Interval: 1.1-100.2; p=0.04). Using Continuous Glucose Monitoring was negatively associated with the occurrence of nighttime hypoglycemia (≤3.9 mmol/L) compared with using glucose meters or Flash Glucose Monitoring (Odds Ratio=0.31; 95% Confidence Interval: 0.12-0.83; p=0.02). The occurrence of clinically important hypoglycemia related to physical activity is associated with the occurrence of hypoglycemia during the night. Continuous Glucose Monitoring is negatively associated with nighttime hypoglycemia after a day of competition.

Discrepancies between methods of continuous glucose monitoring in key metrics of glucose control in children with type 1 diabetes.

OBJECTIVE: We aimed to compare glycemic control and variability parameters obtained from paired records of real-time continuous glucose monitoring (RT-CGM) and flash glucose monitoring (FGM). METHODS: Ten Polish boys and 11 girls aged 15.3 ± 2.1 years with type 1 diabetes for 7.7 ± 4.5 years and glycated hemoglobin 7.35 ± 0.7% (57 ± 5 mmol/mol) were recruited between August 2017 and June 2018 and equipped with devices for RT-CGM (iPro2 system with Enlite electrodes) and FGM (FreeStyle Libre) for 1 week. Afterwards, Glyculator 2.0 software was used to calculate and compare key metrics of glycemic control listed in the International Consensus on Use of Continuous Glucose Monitoring, with distinction into all record/night-time/day-time blocks when appropriate. RESULTS: Agreement between the two systems' measurements across patients ranged from poor (R2 = .39) to nearly perfect (R2 = .97). Significant differences between RT-CGM and FGM were observed in five important metrics: coefficient of variation (median difference: -4.12% [25%-75%: -7.50% to -2.96%], P = .0001), low blood glucose index (-0.88 [-1.88 to -0.18], P = .0004), % of time below 70 mg/dL (3.9 mmol/L) (-4.77 [-8.39 to -1.19], P = .0015) and 54 mg/dL (3 mmol/L) (-1.33 [-4.07 to 0.00], P = .0033) and primary time in range (TIR) 70-180 mg/dL (8.58 [1.31 to 12.66], P = .0006). CONCLUSIONS: RT-CGM and FGM differ in their estimates of clinically important indices of glycemic control. Therefore, such metrics cannot be directly compared between people using different systems. Our result necessitates system-specific guidelines and targets if TIR and glycemic variability are to be used as an endpoint in clinical trials.

Assessment of Exercise Capacity in Children with Type 1 Diabetes in the Cooper Running Test.

Regular physical activity increases lifespan for those with type 1 diabetes. However, disease-related barriers may deter children from exercise and affect their fitness. This study examined the safety of the Cooper test concerning diabetes-related acute complications in children with type 1 diabetes and their fitness. Blood glucose was recorded before and 0, 30, 60 min after the test. The covered distances were transformed to z-scores based on the national charts. Body mass index, body fat percentage and glycated hemoglobin were measured. The run was completed by 80 individuals (45% boys, age 13.6±2.1 years; diabetes duration 6.3±3.5 years). During the follow-up 11 children reached glucose alert values (3-3.9 mmol/L), 3 presented clinically significant hypoglycemia (<3 mmol/L), none experienced severe hypoglycemia. The covered distance was 1914±298 m, not significantly different from the reference population (z-score -0.12±0.71 vs 0, p=0.12). The study participants were more overweight than general pediatric population in terms of body mass index (z-score 0.48±0.94 vs 0, p<0.001) and body fat percentage (z-score: 0.37±0.85 vs 0, p<0.001). In conclusion, the Cooper test can be safely used in children with diabetes to assess their physical capacity. Youth with type 1 diabetes present fitness similar to healthy children but exhibit increased body mass index and adiposity.

Assessment of Safety and Glycemic Control During Football Tournament in Children and Adolescents With Type 1 Diabetes-Results of GoalDiab Study.

PURPOSE: To assess glycemic control and safety of children and adolescents with type 1 diabetes participating in a 2-day football tournament. METHODS: In total, 189 children with type 1 diabetes from 11 diabetes care centers, in Poland, participated in a football tournament in 3 age categories: 7-9 (21.2%), 10-13 (42.9%), and 14-17 (36%) years. Participants were qualified and organized in 23 football teams, played 4 to 6 matches of 30 minutes, and were supervised by a medical team. Data on insulin dose and glycemia were downloaded from personal pumps, glucose meters, continuous glucose monitoring, and flash glucose monitoring systems. RESULTS: The median level of blood glucose before the matches was 6.78 (4.89-9.39) mmol/L, and after the matches, it was 7.39 (5.5-9.87) mmol/L (P = .001). There were no episodes of severe hypoglycemia or ketoacidosis. The number of episodes of low glucose value (blood glucose ≤3.9 mmol/L) was higher during the tournament versus 30 days before: 1.2 (0-1.5) versus 0.7 (0.3-1.1) event/person/day, P < .001. Lactate levels increased during the matches (2.2 [1.6-4.0] mmol/L to 4.4 [2.6-8.5] mmol/L after the matches, P < .001). CONCLUSIONS: Large football tournaments can be organized safely for children with type 1 diabetes. For the majority of children, moderate mixed aerobic-anaerobic effort did not adversely affect glycemic results and metabolic safety.

NIRCa: An artificial neural network-based insulin resistance calculator.

BACKGROUND: Direct measurement of insulin sensitivity in children with type 1 diabetes is cumbersome and time consuming. OBJECTIVE: The aim of our study was to develop novel, accurate machine learning-based methods of insulin resistance estimation in children with type 1 diabetes. METHODS: A hyperinsulinemic hyperglycemic clamp study was performed to evaluate the glucose disposal rate (GDR) in a study group consisting of 315 patients aged 7.6 to 19.7 years. The group was randomly divided into a training and independent testing set for model performance assessment. GDR was estimated on the basis of simple clinical variables using 2 non-linear methods: artificial neural networks (ANN) and multivariate adaptive regression splines (MARSplines). The results were compared against the most frequently used predictive model, based on waist circumference, triglyceride (TG), and HbA1c levels. RESULTS: The reference model showed moderate performance ( R 2 = 0.26) with a median absolute percentage error of 49.1%, and with the worst fit observed in young (7-12 years) children ( R 2 = 0.17). Predictions of the MARSplines model were significantly more accurate than those of the reference model (median error 3.6%, R 2 = 0.44 P < .0001). The predictions of the ANN, however, showed significantly lower error than those of the reference model (P < .0001) and MARSplines (P < .0001) and better fit regardless of patient age. ANN-estimated GDRs were within a ±20% error range in 75% of cases with a median error of 0.6% and an R 2 = 0.66. The predictive tool is available at http://link.konsta.com.pl/gdr. CONCLUSIONS: The developed GDR estimation model reliant on ANN allows for an optimized prediction of GDR for research and clinical purposes.

Monogenic diabetes prevalence among Polish children-Summary of 11 years-long nationwide genetic screening program.

BACKGROUND: Estimated monogenic diabetes (MD) prevalence increases as screening programs proceeds. OBJECTIVE: To estimate prevalence of MD among Polish children. SUBJECTS: Patients and their family members suspected of suffering from MD (defined as causative mutation in one of the Maturity Onset Diabetes of the Young or permanent neonatal diabetes mellitus genes) were recruited between January 2005 and December 2015. METHODS: Nationwide prevalence was estimated based on data from 6 administrative provinces (out of 16 in Poland) with high referral rates of patients (>10 per 100 000 children). RESULTS: During the analysis, probands from 322 of 788 screened families tested positive yielding a total of 409 children and 299 family members with MD. An average of 70 probands/year were referred. Screening success rate reached 40% over the study period. We estimated the prevalence of MD in 2015 to 7.52/100 000 children (1 in 13 000). The most frequent MODY in this group was GCK- MODY (6.88/100 000). The prevalence estimates increased nearly 2-fold since our report in 2011 (4.4/100 000). However, the figure reached a plateau because of screening saturation in 2014 what was also proven by lowering of the median age of diagnosis lowered in time (R = -0.73, P = .0172) along with shortening of the delay between clinical and genetic diagnosis (R = -0.65, P = .0417). CONCLUSIONS: The screening for childhood MD in Poland reached a plateau phase after 10 years showing a stable prevalence estimate. The true frequency of MD in the overall population may be higher given later onset of reportedly more frequent types of MD than GCK -MODY.

Alcohol and cigarette use among adolescents with type 1 diabetes.

In this study, we compare the prevalence of alcohol and cigarette use among Polish adolescents with type 1 diabetes mellitus (T1DM) (n = 209), aged 15-18 years, with that of a large cohort of their healthy peers, using standardized questionnaire used in the European School Survey Project on Alcohol and Drugs (ESPAD). The lifetime, previous year, and past 30-day prevalence of alcohol consumption was high among adolescents with T1DM but lower than in the controls (82.8 vs 92.0%, 71.7 vs 85.6%, and 47.5 vs 69.7%, respectively, p < 10-5). The lifetime and 30-day prevalence of cigarette use was also lower among patients than the controls (54.6 vs 65.5%, p = 0.001 and 27.3 vs 35.9%, p = 0.012, respectively). Patients who admitted smoking exhibited worse metabolic control than non-smokers (p < 0.0001) and had a higher chance of developing diabetic ketoacidosis. The incidence of severe hypoglycemia was higher among those who reported getting drunk in the previous 30 days (p = 0.04) and lifetime smoking (p = 0.01). CONCLUSIONS: Although alcohol and cigarette consumption is lower than in controls, it is common among teenagers with type 1 diabetes, effecting metabolic control and causing the risk of acute diabetes complications. Better prevention strategies should be implemented in this group of patients in their early teen years. What is Known: • Substance use remains a significant cause of morbidity and mortality among teenagers with type 1 diabetes. • Current medical literature contains inconsistent data on the prevalence of alcohol and cigarette use among adolescents with type 1 diabetes, mostly due to methodological problems with conducting such surveys. What is New: • Methodological approach: we used a validated questionnaire from the European School Survey Project on Alcohol and Other Drugs (ESPAD) and compared the results to a large national control group of 12,114 healthy students who took part in ESPAD in 2011.

Differential regulation of serum microRNA expression by HNF1ß and HNF1α transcription factors.

AIMS/HYPOTHESIS: We aimed to identify microRNAs (miRNAs) under transcriptional control of the HNF1ß transcription factor, and investigate whether its effect manifests in serum. METHODS: The Polish cohort (N = 60) consisted of 11 patients with HNF1B-MODY, 17 with HNF1A-MODY, 13 with GCK-MODY, an HbA1c-matched type 1 diabetic group (n = 9) and ten healthy controls. Replication was performed in 61 clinically-matched British patients mirroring the groups in the Polish cohort. The Polish cohort underwent miRNA serum level profiling with quantitative real-time PCR (qPCR) arrays to identify differentially expressed miRNAs. Validation was performed using qPCR. To determine whether serum content reflects alterations at a cellular level, we quantified miRNA levels in a human hepatocyte cell line (HepG2) with small interfering RNA knockdowns of HNF1α or HNF1ß. RESULTS: Significant differences (adjusted p < 0.05) were noted for 11 miRNAs. Five of them differed between HNF1A-MODY and HNF1B-MODY, and, amongst those, four (miR-24, miR-27b, miR-223 and miR-199a) showed HNF1B-MODY-specific expression levels in the replication group. In all four cases the miRNA expression level was lower in HNF1B-MODY than in all other tested groups. Areas under the receiver operating characteristic curves ranged from 0.79 to 0.86, with sensitivity and specificity reaching 91.7% (miR-24) and 82.1% (miR-199a), respectively. The cellular expression pattern of miRNA was consistent with serum levels, as all were significantly higher in HNF1α- than in HNF1ß-deficient HepG2 cells. CONCLUSIONS/INTERPRETATION: We have shown that expression of specific miRNAs depends on HNF1ß function. The impact of HNF1ß deficiency was evidenced at serum level, making HNF1ß-dependent miRNAs potentially applicable in the diagnosis of HNF1B-MODY.

Factors affecting long-term efficacy of T regulatory cell-based therapy in type 1 diabetes.

BACKGROUND: Recent studies suggest that immunotherapy using T regulatory cells (Tregs) prolongs remission in type 1 diabetes (T1DM). Here, we report factors that possibly affect the efficacy of this treatment. METHODS: The metabolic and immune background of 12 children with recently diagnosed T1DM, as well as that of untreated subjects, during a 2-year follow-up is presented. Patients were treated with up to 30 × 106/kg b.w. of autologous expanded CD3+CD4+CD25highCD127- Tregs. RESULTS: The disease progressed and all patients were insulin-dependent 2 years after inclusion. The ß-cell function measured by c-peptide levels and the use of insulin were the best preserved in patients treated with two doses of Tregs (3/6 in remission), less so after one dose (1/6 in remission) and the worst in untreated controls (no remissions). Increased levels of Tregs could be seen in peripheral blood after their adoptive transfer together with the shift from naïve CD62L+CD45RA+ to memory CD62L+CD45RA- Tregs. Increasing serum levels of proinflammatory cytokines were found: IL6 increased in all subjects, while IL1 and TNFα increased only in untreated group. Therapeutic Tregs were dependent on IL2, and their survival could be improved by other lymphocytes. CONCLUSIONS: The disease progression was associated with changing proportions of naïve and memory Tregs and slowly increasing proinflammatory activity, which was only partially controlled by the administered Tregs. The therapeutic cells were highly dependent on IL2. We conclude that the therapy should be administered at the earliest to protect the highest possible mass of islets and also to utilize the preserved content of Tregs in the earlier phases of T1DM. Trial registration http://www.controlled-trials.com/ISRCTN06128462 ; registered retrospectively.

Chromosome 18q deletion syndrome with autoimmune diabetes mellitus: putative genomic loci for autoimmunity and immunodeficiency.

A girl with 18q deletion syndrome was diagnosed with autoimmune diabetes mellitus and Hashimoto's thyroiditis at the age of 3 yr. In addition, the girl suffered from recurrent infections due to immunoglobulin A and IgG4 deficiency. She was also found to have CD3+CD4+FoxP3+, CD3+CD4+FoxP3+CD25+, and CD3+CD4+CD25+CD127 regulatory T cells deficiency. The exceptional coincidence of the two autoimmune disorders occurring at an early age, and associated with immune deficiency, implies that genes located on deleted 19.4 Mbp region at 18q21.32-q23 (chr18:58,660,699-78,012,870) might play a role in the pathogenesis of autoimmunity leading to ß cell destruction and diabetes.

Psychiatric Disorders and Health-Related Quality of Life in Children With Type 1 Diabetes Mellitus.

BACKGROUND: Type 1 diabetes mellitus (T1DM) is a chronic condition with major effect on health-related quality of life (HRQoL) and mental health. In 1990s, high rates of psychiatric disorders were reported among children with T1DM. Little is known, however, about current prevalence of psychiatric disorders in children with T1DM and the relation between psychiatric diagnosis and HRQoL. OBJECTIVE: The aim of the study was to determine the prevalence of Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision) psychiatric disorders and the association between psychiatric comorbidity and HRQoL in the pediatric population with T1DM. METHODS: We conducted a cross-sectional study of 207 children, aged 8-18 years, diagnosed with T1DM. The presence of psychiatric disorders has been assessed by the standard diagnostic interview according to Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision) criteria. HRQoL was measured by the general and diabetes mellitus-specific modules of the Paediatric Quality of Life Inventory. RESULTS: Of the evaluated patients, 26.6% (N = 55) met the criteria for psychiatric disorders at the time of evaluation. The most common diagnoses were anxiety (N = 32; 15.5%) and mood disorders (N = 8; 3.9%). One-third of the patients (N = 66, 31.9%) met the criteria for at least 1 psychiatric diagnosis in their lifetime. The presence of psychiatric disorders was related to an elevated hemoglobin A1c level (8.6% vs 7.6%) and a lowered HRQoL level in the general pediatric quality of life inventory. In the diabetes mellitus-specific pediatric quality of life inventory, children with psychiatric disorders revealed more symptoms of diabetes mellitus, treatment barriers, and lower adherence than children without psychiatric disorders. CONCLUSIONS: T1DM in children is associated with a very high prevalence of psychiatric comorbidity, which is related to elevated hemoglobin A1c and lower HRQoL levels.

Altered platelets' morphological parameters in children with type 1 diabetes ­ a case-control study.

BACKGROUND: Platelet hyperreactivity is a factor which contributes towards increased risk of cardiovascular events in adults with type 2 diabetes (T2DM). However, little is known about platelets' disturbances among children with type 1 diabetes (T1DM). The aim of the study was to investigate whether platelets' morphology or function are altered in children with type 1 diabetes, potentially predisposing them to cardiovascular events in the future. METHODS: The study group consisted of 389 children with T1DM during the 2008-2010 period. Patients with acute diabetes complications and ongoing infections were excluded from the study. An equinumerous (N = 389), age and sex-matched control group was assembled from children undergoing routine, minor surgical procedures in the same hospital. Platelet: count (PLT), mean volume (MPV), distribution width (PDW) and platelet large cell ratio (P-LCR) as well as HbA1c levels were measured. For statistical analysis we used Chi-square tests, the student's t-test, one-way analysis of variance (ANOVA), the Pearson's correlation coefficient and linear regression models in order to adjust for covariates. RESULTS: MPV, PDW and P-LCR were significantly higher among children with diabetes in comparison with the control group (MPV 10.47+/-0.85 fL vs 10.23+/-0.94 fL, p = 0.0007; PDW 12.09+/-1.80% vs 11.66+/-1.90%, p = 0.0032; P-LCR 28.21+/-6.15% vs 26.29+/-6.38%, p < 0.0001). PLT however, were shown to be similar (263.55+/-60.04 vs 268.77+/-65.78 10(3)/µl; p = 0.5637). In both cases and controls age was inversely correlated with platelet count (for study group: r = -0.30, p < 0.0001; for control group: r = -0.34, p < 0.0001), positively correlated with MPVs (r = 0.20, p < 0.0001; r = 0.26, p < 0.0001), PDW (r = 0.25, p < 0.0001 and r = 0.24, p < 0.0001) and P-LCR (r = 0.26, p < 0.0001; r = 0.26, p < 0.0001). After adjustment for confounding factors, higher platelet counts were associated with poorer metabolic control (beta = 0.20; 0.0001). CONCLUSIONS: Platelets of paediatric patients with T1DM show morphological evidence of hyperreactivity (higher MPV, PDW and P-LCR), while poorer metabolic control increases their number potentially predisposing the patients to future cardiovascular events.

Therapy of type 1 diabetes with CD4(+)CD25(high)CD127-regulatory T cells prolongs survival of pancreatic islets - results of one year follow-up.

It is hypothesized that CD4(+)CD25(+)FoxP3(+) regulatory T cells (Tregs) can prevent destruction of pancreatic islets protecting from type 1 diabetes (DM1). Here we present results of one year follow-up of 12 DM1 children treated with autologous expanded ex vivo Tregs. Patients received either a single or double Tregs infusion up to the total dose of 30×10(6)/kg. No severe adverse effects were observed. The treatment did not impair post-immunization antibody responses. Tregs infusion was followed by increase in Tregs number in peripheral blood. Most of the patients responded to the therapy with increase in C-peptide levels (8/12 and 4/6 after the first and the second dose, respectively). Tregs administration resulted also in lower requirement for exogenous insulin (8/12 treated patients versus 2/10 untreated controls in remission) with two children completely insulin independent at one year. Repetitive administration of Tregs is safe and can prolong survival of ß-cells in DM1 (registration: ISRCTN06128462).