The Effect of Microbiome-Modulating Agents (MMAs) on Type 1 Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Gut microbiome-modulating agents (MMAs), including probiotics, prebiotics, postbiotics, and synbiotics, are shown to ameliorate type 1 diabetes (T1D) by restoring the microbiome from dysbiosis. The objective of this systematic review and meta-analysis was to assess the impact of MMAs on hemoglobin A1c (HbA1c) and biomarkers associated with (T1D). A comprehensive search was conducted in PubMed, Web of Science, Embase, Cochrane Library, National Knowledge Infrastructure, WeiPu, and WanFang Data up to 30 November 2023. Ten randomized controlled trials (n = 630) were included, with study quality evaluated using the Cochrane risk-of-bias tool. Random-effect models with standardized mean differences (SMDs) were utilized. MMA supplementation was associated with improvements in HbA1c (SMD = -0.52, 95% CI [-0.83, -0.20]), daily insulin usage (SMD = -0.41, 95% confidence interval (CI) [-0.76, -0.07]), and fasting C-peptide (SMD = 0.99, 95% CI [0.17, 1.81]) but had no effects on FBG, CRP, TNF-α, IL-10, LDL, HDL, and the Shannon index. Subgroup analysis of HbA1c indicated that a long-term intervention (>3 months) might exert a more substantial effect. These findings suggest an association between MMAs and glycemic control in T1D. Further large-scale clinical trials are necessary to confirm these findings with investigations on inflammation and gut microbiota composition while adjusting confounding factors such as diet, physical activity, and the dose and form of MMA intervention.

What Is the Tech Missing? Nutrition Reporting in Type 1 Diabetes.

INTRODUCTION: Type 1 Diabetes (T1D) presents self-management challenges, requiring an additional 180 daily decisions to regulate blood glucose (BG) levels. Despite the potential, T1D-focused applications have a 43% attrition rate. This work delves into the willingness of people living with T1D (PwT1D) to use technology. METHOD: An online questionnaire investigated the current practices for carbohydrate estimation, nutritional tracking, and attitudes towards technology engagement, along with hypothetical scenarios and preferences regarding technology use. RESULTS: Thirty-nine responses were collected from PwT1D (n = 33) and caregivers (n = 6). Nutrition reporting preferences varied, with 50% favoring 'type and scroll' while 30% preferred meal photographing. Concerning the timing of reporting, 33% reported before meals, 55% after, and 12% at a later time. Improved Time in Range (TIR) was a strong motivator for app use, with 78% expressing readiness to adjust insulin doses based on app suggestions for optimizing TIR. Meal descriptions varied; a single word was used in 42% of cases, 23% used a simple description (i.e., "Sunday dinner"), 30% included portion sizes, and 8% provided full recipes. CONCLUSION: PwT1D shows interest in using technology to reduce the diabetes burden when it leads to an improved TIR. For such technology to be ecologically valid, it needs to strike a balance between requiring minimal user input and providing significant data, such as meal tags, to ensure accurate blood glucose management without overwhelming users with reporting tasks.

Unveiling the interplay between rational, psychological and functional factors in continuous glucose monitoring early adoption: Novel evidence from the Dexcom ONE case in Italy.

BACKGROUND: The escalating prevalence of diabetes, with its multifaceted complications, poses a pressing challenge for healthcare systems globally. In response, the advent of continuous glucose monitoring (CGM) systems, offering technological solutions for daily diabetes management, presents significant opportunities. However, the widespread adoption faces several barriers, linked both to the technological configuration of the devices and to the psychological dimension of patients. Therefore, this study aims to apply and test a theoretical model that investigates the antecedents of the intention to use Continuous Glucose Monitoring systems. METHODS: The research model was built to unveil the impacts of psychological factors, functional components and rational constructs derived from the Technology Acceptance Model (TAM) on CGM systems sustained adoption. To ensure the comparability of results, we have collected data from people who had used Dexcom ONE Dexcom (San Diego, CA) for the first time for at least one month. Employing Structural Equation Modelling (SEM) techniques, the hypothesized relationships among constructs were assessed. RESULTS: The analyses confirmed the positive correlation of rational factors to the Intention to Use. Subjective Norm, intended as the physicians' influence, is positively correlated with the Perceived Usefulness. Trend Arrows, albeit being negatively correlated with Perceived Usefulness, have a positive correlation on Perceived Ease Of Use, reinforcing its mediating effect towards Perceived Usefulness. Among psychological factors, Trust in the CGM technology positively correlates with Intention to Use. Health Literacy is negatively correlated to the Intention to Use. CONCLUSIONS: These findings contribute to theoretical and managerial understanding, providing recommendations to enhance the adoption of CGM systems like Dexcom ONE.

Impact of vitamin D deficiency on iron status in children with type I diabetes.

Vitamin D deficiency (VDD) and anemia are both public health nutrition concerns. An association between VDD and anemia has been suggested in various healthy and diseased populations. The current study aimed to elucidate the effect of VDD on iron status in children with type I diabetes mellitus (T1DM). The study recruited two groups of children with T1DM: control group comprised of 38 T1DM children with sufficient vitamin D (> 30 ng/ml) and a case group, consisted of 52 T1DM children with VDD (< 20 ng/ml). Both groups had comparable gender, age, BMI, and disease duration. The laboratory measurements included analysis of blood indices, markers of iron metabolism, hepcidin and inflammatory markers included interleukin 6 (IL-6) and C-reactive protein (CRP). Compared to control group, T1DM children with VDD differs specifically in terms of some markers of blood indices, such as decreased hemoglobin and increased red blood cell distribution width. Moreover, decreased serum iron, ferritin, total iron-binding capacity and transferrin along with elevated inflammatory markers were observed in case group. Results of the study indicated that VDD had increased the risk of iron deficiency anemia in children with T1DM as well as inflammatory related anemia. Furthermore, in T1DM children, VDD had raised the incidence of both absolute and functional iron deficiency, with greater incidence of the former. This study may indicate that VDD may be a risk factor that may worsen iron deficiency anemia in T1DM.

HbA1c and the risk of developing peripheral neuropathy in childhood-onset type 1 diabetes: A follow-up study over 3 decades.

AIMS: We have evaluated long-term weighted mean HbA1c (wHbA1c), HbA1c variability, diabetes duration, and lipid profiles in relation to the development of diabetic peripheral neuropathy (DPN), nephropathy, and retinopathy in childhood-onset type 1 diabetes. MATERIALS AND METHODS: In a longitudinal cohort study, 49 patients (21 women) with childhood-onset type 1 diabetes were investigated with neurophysiological measurements, blood tests, and clinical examinations after a diabetes duration of 7.7 (±3.3) years (baseline) and followed with repeated examinations for 30.6 (±5.2) years. We calculated wHbA1c by integrating the area under all HbA1c values since the diabetes diagnosis. Lipid profiles were analysed in relation to the presence of DPN. Long-term fluctuations of HbA1c variability were computed as the standard deviation of all HbA1c measurements. Data regarding the presence of other diabetes complications were retrieved from medical records. RESULTS: In this follow-up study, 51% (25/49) of the patients fulfilled electrophysiological criteria for DPN. In nerve conduction studies, there was a deterioration in the amplitudes and conduction velocities for the median, peroneal, and sural nerves over time. Patients with DPN had a longer duration of diabetes, higher wHbA1c, and increased HbA1c variability. The lowest wHbA1c value associated with the development of DPN was 62 mmol/mol (7.8%). The presence of albuminuria and retinopathy was positively correlated with the presence of neuropathy. CONCLUSIONS: More than half of the patients had developed DPN after 30 years. None of the patients who developed DPN had a wHbA1c of less than 62 mmol/mol (7.8%).

The association of thyroid autoimmunity with ovarian reserve in women with type 1 diabetes with and without polycystic ovary syndrome.

The aim of the study was to investigate the relation between thyroid autoimmunity (TAI), reflected as the presence of thyroid peroxidase antibodies (TPOAb), and parameters of ovarian reserve in women with type 1 diabetes (T1DM) and polycystic ovary syndrome (PCOS). We studied 83 euthyroid women with T1DM (age - 26 ± 5 years, BMI - 24 ± 3 kg/m2) - 12 with PCOS and positive TPOAb (PCOS + TPOAb), 29 with PCOS with negative TPOAb (PCOS + noTPOAb), 18 without PCOS with positive TPOAb (noPCOS + TPOAb), 24 without PCOS with negative TPOAb (noPCOS + noTPOAb). Serum concentrations of anti-Müllerian hormone (AMH), sex hormones, TSH, thyroid hormones and TPOAb were assessed. The prevalence of TAI was comparable between PCOS and noPCOS. We did not observe differences in hormonal profile or AMH concentration between two PCOS groups-PCOS + TPOAb and PCOS + noTPOAb (p > 0.05). Women with PCOS + TPOAb had lower FSH concentration and higher LH/FSH index than noPCOS + noTPOAb (p = 0.027; p = 0.019, respectively). Moreover, PCOS + TPOAb had lower oestradiol level than noPCOS + TPOAb (p = 0.041). AMH concentration was higher in both groups with PCOS, independent of TPOAb presence, than in noPCOS + noTPOAb (both p < 0.001). The presence of positive TPOAb titre was not related to the studied parameters of ovarian reserve - AMH and ovarian follicle number. In multiple linear regression analysis, the only significant predictor of AMH in the whole studied group with T1DM was total daily insulin dose U/kg (ß = - 0.264; p = 0.022). The presence of TAI did not affect the hormonal profile or ovarian reserve in women with T1DM with and without PCOS.

Does metabolic control of the disease related with bone turnover markers in children with type 1 diabetes mellitus in Turkey?

BACKGROUND: The aim was to evaluate the effect of metabolic control on bone biomarkers in children with type I diabetes. MATERIALS AND METHODS: The children were divided into two groups according to their glycated hemoglobin (HbA1c) (%) levels: a group with HbA1c levels < 8% (n = 16) and: a group with HbA1c levels > 8% (n = 18). The serum total oxidative status (TOS) (µmol/L), total antioxidant status (TAS) (mmol/L), alkaline phosphatase (ALP) (IU/L), osteocalcin (OC) (ng/ml), procollagen type-1-N-terminal peptide (P1NP) (ng/ml), and vitamin D (IU) levels and food consumption frequencies were determined. RESULTS: When patients were classified according to HbA1c (%) levels, those with HbA1c levels < 8% were found to have lower TOS (µmol/L) values (8.7 ± 6.16, 9.5 ± 5.60) and higher serum OC (ng/mL) (24.2 ± 16.92, 22.0 ± 6.21) levels than those with HbA1c levels > 8% (p < 0.05). Regardless of the level of metabolic control, there was a statistically significant association between serum TOS (µmol/L) and P1NP (ng/ml) (p < 0.05) levels, with no group-specific relationship (HbA1c levels <%8 or HbA1c levels >%8). CONCLUSION: HbA1c and serum TOS levels had an effect on bone turnover biomarkers in individuals with type I diabetes.

Pregnancy Outcomes in Women with Poorly Controlled Pregestational Diabetes Mellitus.

BACKGROUND: The prevalence of pregestational diabetes mellitus (PGDM) in women of reproductive age has surged globally, contributing to increased rates of adverse pregnancy outcomes. Hemoglobin A1c (HbA1c) is a crucial marker for diagnosing and monitoring PGDM, with periconceptional levels influencing the risk of congenital anomalies and complications. OBJECTIVES: To evaluate the association between periconceptional HbA1c levels and perinatal complications in pregnant women with poorly controlled PGDM. METHODS: We conducted a retrospective analysis of prospectively collected data of pregnancies between 2010 and 2019, HbA1c > 6% at 3 months prior to conception or during the first trimester. Outcomes of periconceptional HbA1c levels were compared. RESULTS: The cohort included 89 women: 49 with HbA1c 6-8%, 29 with HbA1c 8-10%, and 11 with HbA1c > 10%. Higher HbA1c levels were more prevalent in type 1 diabetics and were associated with increased end-organ damage risk. Women with elevated HbA1c levels tended toward unbalanced glucose levels during pregnancy. The cohort exhibited high rates of preterm delivery, hypertensive disorders, cesarean delivery, and neonatal intensive care unit admission. Overall live birth rate was 83%. While a significant correlation was found between HbA1c levels and preterm delivery, no consistent association was observed with other adverse outcomes. CONCLUSIONS: Periconceptional glycemic control in PGDM pregnancies is important. Elevated HbA1c levels are associated with increased risks of adverse outcomes. Beyond a certain HbA1c level, risks of complications may not proportionally escalate.

Germline-like TCR-α chains shared between autoreactive T cells in blood and pancreas.

Human type 1 diabetes (T1D) is caused by autoimmune attack on the insulin-producing pancreatic beta cells by islet antigen-reactive T cells. How human islet antigen-reactive (IAR) CD4+ memory T cells from peripheral blood affect T1D progression in the pancreas is poorly understood. Here, we aim to determine if IAR T cells in blood could be detected in pancreas. We identify paired αß (TRA/TRB) T cell receptors (TCRs) in IAR T cells from the blood of healthy, at-risk, new-onset, and established T1D donors, and measured sequence overlap with TCRs in pancreata from healthy, at risk and T1D organ donors. We report extensive TRA junction sharing between IAR T cells and pancreas-infiltrating T cells (PIT), with perfect-match or single-mismatch TRA junction amino acid sequences comprising ~29% total unique IAR TRA junctions (942/3,264). PIT-matched TRA junctions were largely public and enriched for TRAV41 usage, showing significant nucleotide sequence convergence, increased use of germline-encoded versus non-templated residues in epitope engagement, and a potential for cross-reactivity. Our findings thus link T cells with distinctive germline-like TRA chains in the peripheral blood with T cells in the pancreas.

Are soluble E-selectin, ICAM-1, and VCAM-1 potential predictors for the development of diabetic retinopathy in young adults, 15-34 years of age? A Swedish prospective cohort study.

The aim of this study was to determine plasma levels of three adhesion molecules that may contribute to the development of diabetic retinopathy; soluble endothelial selectin (sE-selectin), soluble intercellular adhesion molecule-1 (sICAM-1), and soluble vascular cell adhesion molecule-1 (sVCAM-1), in young adults, aged 15-34 years at diagnosis of diabetes, to find potential predictors for development of retinopathy, and to evaluate their relation to diabetes associated autoantibodies. Participants with type 1 (n = 169) and type 2 diabetes (n = 83) were selected from the complications trial of the Diabetes Incidence Study in Sweden and classified in two subgroups according to presence (n = 80) or absence (n = 172) of retinopathy as determined by retinal photography at follow-up 8-10 years after diagnosis of diabetes. Blood samples were collected at diagnosis in 1987-88. The levels of sE-selectin, sICAM-1, and sVCAM-1 were analysed by enzyme-linked immunosorbent assay and islet cell antibodies by a prolonged two-colour immunofluorescent assay. Mean HbA1c (p<0.001) and clinical characteristics: mean body mass index (p = 0.019), systolic blood pressure (p = 0.002), diastolic blood pressure (p = 0.003), male gender (p = 0.026), and young age at diagnosis of diabetes (p = 0.015) remained associated with development of retinopathy in type 1 diabetes. However, in a multivariate analysis only HbA1c remained as a risk factor. sE-selectin was significantly higher in the group with type 2 diabetes and retinopathy, compared to the group with type 2 diabetes without retinopathy (p = 0.04). Regarding sE-selectin, sICAM-1, and sVCAM-1 in participants with type 1 diabetes, no differences were observed between the groups with or without retinopathy. This trial confirmed the role of HbA1c and clinical characteristics as predictors for development of retinopathy in type 1 diabetes. sE-selectin stands out as a potential predictor for development of retinopathy in type 2 diabetes, whereas a predictive role for sICAM-1 and sVCAM-1 could not be identified neither for type 1 nor type 2 diabetes.

Efficacy and safety of advanced hybrid closed loop systems in children with type 1 diabetes younger than 6 years.

Background: Tight glycemic control is essential for the normal growth and development of preschool children. The aim of our study was to evaluate the impact of advanced hybrid closed loop (AHCL) systems in a real-life setting in children younger than 6 years. Methods: We conducted a two-center prospective study. We enrolled 19 patients with a median age at disease onset of 2.6 years [interquartile range (IQR) 1.6; 4.4] and a median disease duration of 1.4 years (IQR 0.9; 2.8) who were switched to AHCL from multiple daily injections or open-loop insulin therapy and with a 6-month follow-up. Clinical data, sensor glycemic metrics, and pump settings were collected and analyzed. Results: After 6 months of follow-up, there was a significant reduction in median HbA1c (p = 0.0007) and glucose management indicator (p = 0.03). A reduction in both mild (>180 mg/dL) (p = 0.04) and severe (>250 mg/dL) (p = 0.01) hyperglycemia was observed after 1 month of auto mode, and in mild hyperglycemia, it persisted up to 6 months (p = 0.02). A small increase in time below range (<70 mg/dL) was observed (p = 0.04) without a significant difference in time <54 mg/dL (p = 0.73). Time in range increased significantly, reaching a 10% increment (p = 0.03) compared with baseline. A significant reduction in the average sensor glucose was observed (p = 0.01) while coefficient of glucose variability (CV%) remained stable (p = 0.12). No episodes of ketoacidosis or severe hypoglycemia have been recorded. Conclusion: AHCL systems are effective and safe for children younger than 6 years and should be considered as a valid therapeutic option from diabetes onset.

Automated insulin delivery in children with type 1 diabetes during physical activity: a meta-analysis.

OBJECTIVES: The aim of this study was to evaluate the performance of the automated insulin delivery (AID) in adolescents, and children with type 1 diabetes (T1D) during physical activity. METHODS: Relevant studies were searched electronically in the Cochrane Library, PubMed, and Embase utilizing the key words "Child", "Insulin Infusion Systems", and "Diabetes Mellitus" from inception to 17th March 2024 to evaluate the performance of the AID in adolescents, and children with T1D during physical activity. RESULTS: Twelve studies involving 514 patients were identified. AID did not show a beneficial effect on duration of hypoglycemia<70 mg/dL during study period (p>0.05; I2=96 %) and during the physical activity (p>0.99). Percentage of sensor glucose values in TIR was higher in AID than the non-AID pumps during study period (p<0.001; I2=94 %). The duration of hyperglycemic time was significantly decreased in AID group compared to the non-AID pumps group during study period (p<0.05; I2>50 %). CONCLUSIONS: AID improved TIR and decreased the duration of hyperglycemic time, but did not appear to have a significant beneficial effect on the already low post-exercise duration of hypoglycemia achievable by open loop or sensor-augmented pumps in adolescents and children with T1D during physical activity; further research is needed to confirm the beneficial effect of AID on duration of hypoglycemia.

Early feasibility study with an implantable near-infrared spectroscopy sensor for glucose, ketones, lactate and ethanol.

OBJECTIVE: To evaluate the safety and performance of an implantable near-infrared (NIR) spectroscopy sensor for multi-metabolite monitoring of glucose, ketones, lactate, and ethanol. RESEARCH DESIGN AND METHODS: This is an early feasibility study (GLOW, NCT04782934) including 7 participants (4 with type 1 diabetes (T1D), 3 healthy volunteers) in whom the YANG NIR spectroscopy sensor (Indigo) was implanted for 28 days. Metabolic challenges were used to vary glucose levels (40-400 mg/dL, 2.2-22.2 mmol/L) and/or induce increases in ketones (ketone drink, up to 3.5 mM), lactate (exercise bike, up to 13 mM) and ethanol (4-8 alcoholic beverages, 40-80g). NIR spectra for glucose, ketones, lactate, and ethanol levels analyzed with partial least squares regression were compared with blood values for glucose (Biosen EKF), ketones and lactate (GlucoMen LX Plus), and breath ethanol levels (ACE II Breathalyzer). The effect of potential confounders on glucose measurements (paracetamol, aspartame, acetylsalicylic acid, ibuprofen, sorbitol, caffeine, fructose, vitamin C) was investigated in T1D participants. RESULTS: The implanted YANG sensor was safe and well tolerated and did not cause any infectious or wound healing complications. Six out 7 sensors remained fully operational over the entire study period. Glucose measurements were sufficiently accurate (overall mean absolute (relative) difference MARD of 7.4%, MAD 8.8 mg/dl) without significant impact of confounders. MAD values were 0.12 mM for ketones, 0.16 mM for lactate, and 0.18 mM for ethanol. CONCLUSIONS: The first implantable multi-biomarker sensor was shown to be well tolerated and produce accurate measurements of glucose, ketones, lactate, and ethanol. TRIAL REGISTRATION: Clinical trial identifier: NCT04782934.

Text messaging to enhance glucose monitoring and self-care in teens with type 1 diabetes: Teens' perceptions predict outcomes.

AIMS: We assessed association between how teens with type 1 diabetes (T1D) perceived a text-messaging (TM) reminder system to check glucose levels and how their perceptions related to their responsiveness to TM reminders to check glucose levels. METHODS: Teens received TM reminders 1-4 times daily to check glucose levels and to reply with the result. Qualitative assessments were performed quarterly. Teens were categorized by perceptions expressed at the majority of the visits and their TM responsiveness over 18 months. RESULTS: There were 135 teens (51 % male), with a mean age of 14.8 ± 1.2 years, receiving TM reminders. Distribution of participants' perceptions was 37 % positive (POS), 35 % neutral (with both positive and negative responses (POS/NEG)), and 28 % negative (NEG). Teens with POS perceptions about TM reminders were more likely to respond with a glucose value to the TM reminders than teens with NEG or POS/NEG perceptions (p = 0.002). Youth with POS perceptions and TM responsiveness on ≥ 50 % of days had an 0.81 % improvement in their HbA1c (p = 0.004) over 18 months. CONCLUSIONS: Teens with POS perceptions to TM reminders were likely to respond and their responsiveness yielded glycemic benefit, suggesting need to consider opinions of teens with T1D to maximize their intervention engagement and resulting benefits.

Glucose metrics improvement in youths with type 1 diabetes using the Ambulatory Glucose Profile report: A real-world study.

AIMS: In this study, we aimed to analyze the possible change in Time In Range (TIR) in subjects with type 1 diabetes (T1D) using the Ambulatory Glucose Profile (AGP) and to identify the main socio-demographic and clinical predictors of sustained use. METHODS: 143 youths wearing instant-scanning CGM received structured counseling on the AGP report interpretation, and who were able to use AGP at least every 14 days were enrolled in group A (n = 100), whereas no users were considered as group B (n = 43). Socio-demographic data at the enrollment, clinical data, and glucose metrics were collected at baseline and during quarterly consultations. Metabolic outcomes were evaluated during follow-up, and a comparison between groups A and B was performed. RESULTS: In group A compared to group B, at 12 months, the percentage of sensor usage and TIR were higher (p = 0.04 and p = 0.02), and Time Above Range and HbA1c were lower (p = 0.0004, p < 0.0001, respectively). Multiple logistic regression analysis did not show a significant relationship between sustained AGP software usage and the variables analyzed. CONCLUSIONS: Systematic use of the AGP software was feasible and showed improved metabolic control in youths with T1D. This may be related to increased sensor usage and more informed decisions.

Glycemic control assessed by continuous glucose monitoring during pregnancy in women with type 1 diabetes and its association with preeclampsia, an observational Swedish cohort study.

INTRODUCTION: Women with type 1 diabetes have an increased risk of preeclampsia (PE), but it is not fully understood if degree of glycemic control is associated with this risk. The aim of this study was to assess glycemic control during pregnancy analyzed by continuous glucose monitoring (CGM) in women with and without PE and to investigate if glycemic control is associated with increased risk of PE. MATERIAL AND METHODS: A total of 120 pregnant Swedish women with type 1 diabetes using CGM were included. Background factors and pregnancy outcomes were collected from medical records. CGM data were collected via the internet-based platform Diasend. Mean glucose, standard deviation of mean glucose, percentage of time in target, time below target, and time above target were presented for each trimester in women who did or did not develop PE. Associations between CGM-derived metrics and PE were analyzed with logistic regression and adjusted for confounders. RESULTS: Twenty-two women (18.3%) developed PE. There were no significant differences in maternal characteristics between women with and without PE. Glycemic control improved in each trimester but was suboptimal in both groups. Time in target increased from 59% in the non-PE group and 54% in the PE group in the first trimester to 65% in both groups in the third trimester. There were no significant associations between glycemic control and PE after adjustment for confounders. CONCLUSIONS: Degree of glycemic control during pregnancy assessed by CGM was not associated with development of PE in women with type 1 diabetes. However, more research is needed to understand the role of glycemic control in relation to development of PE.

Albumin Oxidation and Albumin Glycation Discordance During Type 2 Diabetes Therapy: Biological and Clinical Implications.

Aims: Cys34 albumin redox modifications (reversible "cysteinylation" and irreversible "di/trioxidation"), besides being just oxidative stress biomarkers, may have primary pathogenetic roles to initiate and/or aggravate cell, tissue, and vascular damage in diabetes. In an exploratory "proof-of-concept" pilot study, we examined longitudinal changes in albumin oxidation during diabetes therapy. Methods: Mass spectrometric analysis was utilized to monitor changes in human serum albumin (HSA) post-translational modifications {glycation [glycated albumin (GA)], cysteinylation [cysteinylated albumin (CA) or human non-mercaptalbumin-1; reversible], di/trioxidation (di/trioxidized albumin or human non-mercaptalbumin-2; irreversible), and truncation (truncated albumin)} during ongoing therapy. Four informative groups of subjects were evaluated [type 1 diabetes (T1DM), type 2 diabetes (T2DM), prediabetes-obesity, and healthy controls] at baseline, and subjects with diabetes were followed for a period up to 280 days. Results: At baseline, T2DM was associated with relatively enhanced albumin cysteinylation (CA% total) compared with T1DM (P = 0.004), despite comparable mean hyperglycemia (P values: hemoglobin A1c = 0.09; GA = 0.09). T2DM, compared with T1DM, exhibited selectively and significantly higher elevations of all the "individual" glycated cum cysteinylated ("multimodified") albumin isoforms (P values: CysHSA+1G = 0.003; CysHSA+2G = 0.007; and CysHSA+3G = 0.001). Improvements in glycemic control and decreases in albumin glycation during diabetes therapy in T2DM were not always associated with concurrent reductions of albumin cysteinylation, and in some therapeutic situations, albumin cysteinylation worsened (glycation-cysteinylation discordance). Important differences were observed between the effects of sulfonylureas and metformin on albumin molecular modifications. Conclusions: T2DM was associated with higher oxidative (cysteinylation) and combined (cysteinylation plus glycation) albumin molecular modifications, which are not ameliorated by improved glucose control alone. Further studies are required to establish the clinical significance and optimal therapeutic strategies to address oxidative protein damage and resulting consequences in diabetes.

Childhood screening for type 1 diabetes comparing automated multiplex Antibody Detection by Agglutination-PCR (ADAP) with single plex islet autoantibody radiobinding assays.

BACKGROUND: Two or more autoantibodies against either insulin (IAA), glutamic acid decarboxylase (GADA), islet antigen-2 (IA-2A) or zinc transporter 8 (ZnT8A) denote stage 1 (normoglycemia) or stage 2 (dysglycemia) type 1 diabetes prior to stage 3 type 1 diabetes. Automated multiplex Antibody Detection by Agglutination-PCR (ADAP) assays in two laboratories were compared to single plex radiobinding assays (RBA) to define threshold levels for diagnostic specificity and sensitivity. METHODS: IAA, GADA, IA-2A and ZnT8A were analysed in 1504 (54% females) population based controls (PBC), 456 (55% females) doctor's office controls (DOC) and 535 (41% females) blood donor controls (BDC) as well as in 2300 (48% females) patients newly diagnosed (1-10 years of age) with stage 3 type 1 diabetes. The thresholds for autoantibody positivity were computed in 100 10-fold cross-validations to separate patients from controls either by maximizing the χ2-statistics (chisq) or using the 98th percentile of specificity (Spec98). Mean and 95% CI for threshold, sensitivity and specificity are presented. FINDINGS: The ADAP ROC curves of the four autoantibodies showed comparable AUC in the two ADAP laboratories and were higher than RBA. Detection of two or more autoantibodies using chisq showed 0.97 (0.95, 0.99) sensitivity and 0.94 (0.91, 0.97) specificity in ADAP compared to 0.90 (0.88, 0.95) sensitivity and 0.97 (0.94, 0.98) specificity in RBA. Using Spec98, ADAP showed 0.92 (0.89, 0.95) sensitivity and 0.99 (0.98, 1.00) specificity compared to 0.89 (0.77, 0.86) sensitivity and 1.00 (0.99, 1.00) specificity in the RBA. The diagnostic sensitivity and specificity were higher in PBC compared to DOC and BDC. INTERPRETATION: ADAP was comparable in two laboratories, both comparable to or better than RBA, to define threshold levels for two or more autoantibodies to stage type 1 diabetes. FUNDING: Supported by The Leona M. and Harry B. Helmsley Charitable Trust (grant number 2009-04078), the Swedish Foundation for Strategic Research (Dnr IRC15-0067) and the Swedish Research Council, Strategic Research Area (Dnr 2009-1039). AL was supported by the DiaUnion collaborative study, co-financed by EU Interreg ÖKS, Capital Region of Denmark, Region Skåne and the Novo Nordisk Foundation.

Impact of Pretransplant C-Reactive Protein, Neutrophiles, Platelets, and Albumin Levels on Recipient Survival After Simultaneous Pancreas and Kidney Transplantation.

BACKGROUND: Long-lasting diabetes mellitus type 1 and end-stage renal disease induce severe metabolic and immunologic deterioration. Pretransplant C-reactive protein (CRP) and albumin (ALB) levels impact kidney transplantation. We evaluated the effects of preoperative CRP, ALB, neutrophils (NEU), and platelet (PLT) counts on 1- and 5-year recipient survival after simultaneous pancreas and kidney transplantation (SPK). METHODS: Among 103 SPK recipients, the parameters were as follows: CRP (mean: 4.5 ± 4.97 mg/L); NEU (mean: 5.12 ± 2.13 × 103/mm3); PLT (mean: 244 ± 84 × 103/mm3); ALB (mean 4.5 ± 0.75 g/dL) were obtained before transplantation. Cox regression, uni-, multivariate analysis for 1- and 5-year survivals were performed with 95% CIs, and the area under the receiver operating characteristic (ROC) curve (AUC) was assessed. RESULTS: In Cox regression, ALB <3.65 g/dL significantly affected 1- and 5-year survivors with hazard ratios of 8 (95% CI, 1.5-38.28; P < .05) and 3.13 (95% CI, 1.45-6.73; P < .05), respectively. In univariate analysis, we found significantly decreased 1-year survival when PLT <180×103/mm3, ALB <3.65 g/dL, NEU >5.8×103/mm3 and CRP >2.25 mg/L with odds ratios (OR) of 6.75 (95% CI, 2.12-21.15); 4.05 (95% CI, 1.3-12.09); 2.97 (95% CI, 1.02-8.64) and 5.51 (95% CI, 1.67-18.19), respectively. Independent factors for 5-year survival were CRP, ALB, and PLT with OR of 4.72 (95% CI, 1.67-13.29), 3.31 (95% CI, 1.18-9.25), and 4.2 (95% CI, 1.39-12.68), respectively. In multivariate analysis, we built 2 models for 1-year survival. Model 1 (ALB+PLT) with ORs of 3.12 (95% CI, 0.97-10.07) and 5.55 (95% CI, 1.67-18.4); and model 2 (CRP+PLT) with ORs of 5.51 (95% CI, 1.5-17.3) and 4.3 (95% CI, 1.2-15.06), respectively. The AUC for models 1 and 2 were 0.74 and 0.759, respectively. CONCLUSIONS: NEU, PLT, ALB, and CRP levels assessed before transplantation are independent factors for 1- and 5-year SPK recipient survival.

A randomised controlled trial of additional bolus insulin using an insulin-to-protein ratio compared with insulin-to-carbohdrate ratio alone in people with type 1 diabetes following a carbohydrate-restricted diet.

AIMS: Postprandial hyperglycemia can be problematic for people with type 1 diabetes (T1DM) following carbohydrate-restricted diets. Bolus insulin calculated for meal protein plus carbohydrate may help. This study evaluated the effect of additional bolus insulin using an insulin-to-protein ratio (IPR) on glycaemic control. MATERIALS AND METHODS: Participants with T1DM aged ≥18-years were randomly allocated (1:1) to either carbohydrate and protein-based, or carbohydrate-based insulin dosing alone for 12 weeks while following a carbohydrate-restricted diet (50-100 g/day). Measurement of HbA1c and continuous glucose monitoring occurred at baseline and 12 weeks, with assessment of participant experience at 12 weeks. RESULTS: Thirty-four participants were randomised, 22 female, mean(SD): age 39.2 years (12.6) years; diabetes duration 20.6 years (12.9); HbA1c 7.3 % (0.8), 56.7 mmol/mol (9.2). Seven in each group used insulin pump therapy. HbA1c reduced at 12 weeks with no difference between treatments: mean (SD) control 7.2 % (1.0), 55.7 mmol/mol (10.6); intervention 6.9 % (0.7), 52.3 mmol/mol (7.2) (p = 0.65). Using additional protein-based insulin dosing compared with carbohydrate alone, there was no difference in glycaemic variability, time spent in euglycemic range (TIR), or below range. Participants using IPR reported more control of their diabetes, but varying levels of distress. CONCLUSIONS: Additional bolus insulin using an IPR did not improve glycaemic control or TIR in patients with well controlled T1DM following a carbohydrate-restricted diet. Importantly, the use of the IPR does not increase the risk of hypoglycemia and may be preferred.