Target Glucose Research Articles

Comparison of Efficacy and Adherence of Patient-Preferred (1 Unit Daily) and ADA/EASD Guideline-Recommended (2 Units Every 3 Days) Basal Insulin Titration Algorithms: Multicenter, Randomized, Clinical Study.

Insulin titration often faces inertia, hindering glycemic control. A patient-centered approach empowers patients to overcome this inertia. This study aims to compare the effectiveness of patient-preferred and guideline-recommended self-titration algorithms in achieving glycemic targets and improving adherence. Outpatients with type 2 diabetes (T2D) who did not respond to oral antihyperglycemic drugs (OAD) were assessed. They were randomly assigned to patient-preferred and guideline-recommended groups. In the patient-preferred group, individuals selected an algorithm to self-adjust their insulin glargine dosage by 2 units every 3 days if the mean fasting blood glucose (FBG) over the past 3 consecutive days was ≥7.0 mmol/L, or by 1 unit daily if the FBG on the same day was ≥7.0 mmol/L. In the guideline-recommended group, insulin glargine was titrated by 2 units every 3 days if the mean FBG over the past 3 consecutive days was ≥7.0 mmol/L. The FBG target was set below <7.0 mmol/L. Thirty-nine participants in the patient-preferred group and 42 in the guideline-recommended group completed the study. The cumulative rates of achieving the FBG target in the patient-preferred group compared to the guideline-recommended group were 69.2% vs 54.8% (χ²=1.792, p=0.181) in week 1, 89.7% vs 73.8% (χ²=3.403, p = 0.065) in week 2, 94.9% vs 76.2% (χ²=17.638, p=0.000) in week 3, and 100.0% vs 88.1% (χ²=4.405, p=0.036) in week 4. Adherence rates were significantly higher in the patient-preferred group (97.4%, 37/38) compared to the guideline-recommended group (66.7%, 28/42) (χ²=12.688, p=0.000). Insulin glargine dosage at FBG target achievement was 21.2±4.3 U in the patient-preferred group and 18.8±6.7 U in the guideline-recommended group (t=1.888, p=0.063). Hypoglycemia was reported in 1 patient in the guideline-recommended group, with no instances in the patient-preferred group. The patient-preferred self-titration algorithm demonstrates a higher rate of reaching glucose targets and improved adherence. ChiCTR2100050805.

Celebrating the Data from 100,000 Real-World Users of the MiniMed™ 780G System in Europe, Middle East, and Africa Collected Over 3 Years: From Data to Clinical Evidence.

Introduction: The present report celebrates the benchmarking of 100,000 MiniMed™ 780G system users in Europe, Middle East, and Africa (EMEA) and summarizes the major insights into the usability and outcomes of this system. Methods: Carelink Personal data (August 2020-August 2023) of users living in EMEA were analyzed. Continuous glucose monitoring-based endpoints were aggregated for (1) the full cohort and (2) a 12-month longitudinal cohort. Subanalyses were done for users on optimal settings (those spending ≥95% of time with glucose target of 100 mg/dL, and ≥95% of time with active insulin time of 2 h), for self-reported age groups (≤15 and ≥56 years) and for various countries/regions. Results: Data from 101,629 users (34 countries) were analyzed. Mean time in range (TIR) was 72.3%, glucose management indicator (GMI) was 7%, time below 70 mg/dL (TBR70) was 2.0% and time below 54 mg/dL (TBR54) was 0.4%. In terms of international targets, 59.6% of users achieved a GMI <7%, 62.5% a TIR >70%, 88.4% a TBR70 < 4%, and 90.0% a TBR54 < 1%. Data improved impressively in optimal setting users (TIR = 78.8%, and users reaching TIR >70% = 86.3%) while safety remained (TBR70 = 2.2% and TBR54 = 0.4%). Data showed consistency across self-reported age groups and geographies. In the longitudinal cohort, TIR reached 75.5% in the first month and remained 73.3% or higher over the 12-month period. Conclusion: Over 100,000 users of the MiniMed™ 780G system have demonstrated consistency in achieving target control of glycemia.

Diabetic Ketoacidosis at Onset of Type 1 Diabetes and Glycemic Outcomes with Closed-Loop Insulin Delivery.

The presence of diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes (T1D) is associated with higher glycated hemoglobin levels over time. We evaluated whether hybrid-closed loop (HCL) therapy from onset of T1D could prevent the adverse impact of DKA at diagnosis on long-term glycemic outcomes. This was a posthoc analysis from 51 adolescents using HCL from diagnosis of T1D as part of the CLOuD trial (NCT02871089). We compared glycemic and insulin metrics between adolescents with (n = 17) and without (n = 34) DKA at diagnosis. Participants with and without DKA at diagnosis had similar time in target glucose range 3.9-10.0 mmol/L (70-180 mg/dL), time below range (<3.9 mmol/L, <70 mg/dL) and HbA1c at 6, 12, and 24 months. While insulin requirements at 6 months were higher in those with DKA at diagnosis, this was not statistically significant after adjusting for bodyweight. Residual C-peptide secretion was similar between groups. We conclude that HCL therapy may mitigate against the negative glycemic effects of DKA at T1D diagnosis.

The Impact of Diabetes Education on Continuous Glucose Monitoring in SUS-Dependent Patients in a Northeastern Brazilian City.

Diabetes Mellitus (DM) is an important chronic disease that occurs worldwide. This study aims to investigate how the use of the FreeStyle® Libre system in Unified Health System (SUS) patients impacts diabetes parameters in patients who receive education on proper insulin administration and the use of the continuous monitoring device, as well as how this affects patients without any concomitant multidisciplinary support in Sergipe, Brazil. We conducted a prospective randomized study in a diabetes clinic in Sergipe, Brazil, using the flash method FreeStyle® Libre (Abbott). The participants were divided into two groups: one receiving diabetes education on CGM (continuous glucose monitoring), while the other did not. Before the intervention, the patient's treatment motivation and quality of life were assessed using a questionnaire, and baseline levels of glycated hemoglobin were measured using high-performance liquid chromatography (HPLC) and the point of care AlereTM Afinion with boronate fixation. We compared first- and second-phase data with respect to glycated hemoglobin, mean interstitial blood glucose, time on and above target for hypoglycemic and hyperglycemic events, and mean hypoglycemic duration. In group A, which received the diabetes education intervention, there was a significant reduction in average HbA1c levels from 8.6% to 7.9% after 3 months (p = 0.001). However, there was no significant difference in average glycemic values. Time above target decreased significantly from 50.62% to 29.43% (p = 0.0001), while time below target decreased from 22.90% to 20.21% (p = 0.002). There was no significant change in the number of hypoglycemic events, but the duration of hypoglycemia decreased significantly from 130.35 min to 121.18 min after 3 months (p = 0.0001). In Group B, there was no significant difference in mean HbA1c levels before (7.07%) and after (7.28%) sensor installation. This group maintained lower HbA1c levels compared to the other group. Average blood glucose levels also remained similar before (148.37 mg/dL) and after (154.65 mg/dL) the intervention. Although the time above the target glucose level increased significantly from 35.94% to 48.17%, the time at target decreased from 50.40% to 37.97%. No significant changes were observed in the time below target, the number of hypoglycemic events, or the duration of hypoglycemia. Our findings indicate that utilizing continuous glucose monitoring technology can enhance glycemic control, particularly in motivated, educated, low-income patients dependent on the SUS. To achieve positive results with FreeStyle Libre, it is imperative to allocate resources for multidisciplinary support.

A Diabetes Pregnancy Technology Roadmap: The 2023 Norbert Freinkel Award Lecture.

Norbert Freinkel emphasized the need for "more aggressive therapy with exogenous insulin" during type 1 diabetes (T1D) pregnancy. Recent advances in diabetes technology, continuous glucose monitoring (CGM), and hybrid closed-loop (HCL) insulin delivery systems allow us to revisit Freinkel's observations from a contemporary perspective. The Continuous Glucose Monitoring in Women With Type 1 Diabetes in Pregnancy Trial (CONCEPTT) led to international recommendations that CGM be offered to all pregnant women with T1D to help them meet their pregnancy glucose targets and improve neonatal outcomes. However, despite CGM use, only 35% of trial participants reached the pregnancy glucose targets by 35 weeks' gestation, which is too late for optimal obstetric and neonatal outcomes. The constant vigilance to CGM data and insulin dose adjustment, with perpetual worry about the impact of hyperglycemia on the developing fetal structures, leave many pregnant women feeling overwhelmed. HCL systems that can adapt to marked gestational changes in insulin sensitivity and pharmacokinetics may help to bridge the gap between the nonpregnant time in range glycemic targets (70-180 mg/dL) and the substantially more stringent pregnancy-specific targets (TIRp) (63-140 mg/dL) required for optimal obstetric and neonatal outcomes. Use of HCL (CamAPS FX system) was associated with a 10.5% higher TIRp, 10.2% less hyperglycemia, and 12.3% higher overnight TIRp. Clinical benefits were accompanied by 3.7 kg (8 lb) less gestational weight gain and consistently achieved across a representative patient population of insulin pump or injection users, across trial sites, and across maternal HbA1c categories. Working collaboratively, women, HCL technology, and health care teams achieved improved glycemia with less worry, less work, and more positive pregnancy experiences.

Are we ready for an adipocentric approach in people living with type 2 diabetes and chronic kidney disease?

We are entering a new era in the management of adiposity-based chronic disease (ABCD) with type 2 diabetes (T2D) and related chronic kidney disease (CKD). ABCD, T2D and CKD can affect almost every major organ system and have a particularly strong impact on the incidence of cardiovascular disease (CVD) and heart failure. ABCD and the associated insulin resistance are at the root of many cardiovascular, renal and metabolic (CKM) disorders, thus an integrated therapeutic framework using weight loss (WL) as a disease-modifying intervention could simplify the therapeutic approach at different stages across the lifespan. The breakthrough of highly effective WL drugs makes achieving a WL of >10% possible, which is required for a potential T2D disease remission as well as for prevention of microvascular disease, CKD, CVD events and overall mortality. The aim of this review is to discuss the link between adiposity and CKM conditions as well as placing weight management at the centre of the holistic CKM syndrome approach with a focus on CKD. We propose the clinical translation of the available evidence into a transformative Dysfunctional Adipose Tissue Approach (DATA) for people living with ABCD, T2D and CKD. This model is based on the interplay of four essential elements (i.e. adipocentric approach and target organ protection, dysfunctional adiposity, glucose homeostasis, and lifestyle intervention and de-prescription) together with a multidisciplinary person-centred care. DATA could facilitate decision-making for all clinicians involved in the management of these individuals, and if we do this in a multidisciplinary way, we are prepared to meet the adipocentric challenge.

Real-World Evidence of Omnipod® 5 Automated Insulin Delivery System Use in 69,902 People with Type 1 Diabetes.

Background: The Omnipod® 5 Automated Insulin Delivery System was associated with favorable glycemic outcomes for people with type 1 diabetes (T1D) in two pivotal clinical trials. Real-world evidence is needed to explore effectiveness in nonstudy conditions. Methods: A retrospective analysis of the United States Omnipod 5 System users (aged ≥2 years) with T1D and sufficient data (≥90 days of data; ≥75% of days with ≥220 continuous glucose monitor readings/day) available in Insulet Corporation's device and person-reported datasets as of July 2023 was performed. Target glucose setting usage (i.e., 110-150 mg/dL in 10 mg/dL increments) was summarized and glycemic outcomes were examined. Subgroup analyses of those using the lowest average glucose target (110 mg/dL) and stratification by baseline characteristics (e.g., age, prior therapy, health insurance coverage) were conducted. Results: In total, 69,902 users were included. Multiple and higher glucose targets were more commonly used in younger age groups. Median percentage of time in range (TIR; 70-180 mg/dL) was 68.8%, 61.3%, and 53.6% for users with average glucose targets of 110, 120, and 130-150 mg/dL, respectively, with minimal time <70 mg/dL (all median <1.13%). Among those with an average glucose target of 110 mg/dL (n = 37,640), median TIR was 65.0% in children and adolescents (2-17 years) and 69.9% in adults (≥18 years). Subgroup analyses of users transitioning from Omnipod DASH or multiple daily injections and of Medicaid/Medicare users demonstrated favorable glycemic outcomes among these groups. Conclusion: These glycemic outcomes from a large and diverse sample of nearly 70,000 children and adults demonstrate effective use of the Omnipod 5 System under real-world conditions.

Insulin Infusion Protocols for Blood Glucose Management in Critically Ill Patients: A Scoping Review.

Continuous insulin infusion is a method for maintaining blood glucose stability in critically ill patients with hyperglycemia. Many insulin infusion protocols have been applied in intensive care units. Understanding the content of these protocols can help clinical staff choose the most appropriate and convenient protocol and promote best practices in managing glucose levels in critically ill adult patients. To examine the types of insulin infusion therapies performed for blood glucose management in critically ill patients. For this scoping review, 3 Chinese-language and 8 English-language databases were searched for articles published from May 25, 2016, to October 25, 2022. Twenty-one articles met the inclusion criteria. Twenty-one insulin infusion protocols were examined. Most of the insulin infusion protocols were paper protocols. Fourteen glucose management indicators were included in the 21 protocols. The glucose target range for all 21 protocols ranged from 70 to 180 mg/dL (3.9-10.0 mmol/L). Nurses were primarily responsible for protocol implementation in most protocol development processes. The roles of nurses differed in nurse-led insulin infusion protocols and non-nurse-led insulin infusion protocols. This scoping review indicates an urgent need for more comprehensive glycemic control guidelines for patients receiving critical care. Because insulin infusion protocols are core aspects of blood glucose management guidelines, different population subgroups should also be considered. Nurse-led guidelines must be based on the best available evidence and should include other variables related to glucose management (eg, patient disease type, medication, and nutrition) in addition to insulin infusion.

Safety and Efficacy of Insulins in Critically Ill Patients Receiving Continuous Enteral Nutrition

ObjectiveThere is a relative lack of consensus regarding the optimal management of hyperglycemia in patients receiving continuous enteral nutrition (EN), with or without a diagnosis of diabetes. MethodsThis retrospective study examined 475 patients (303 with known diabetes) hospitalized in critical care setting units in 2019 in a single center who received continuous EN. Rates of hypoglycemia, hyperglycemia, and glucose levels within the target range (70-180 mg/dL) were compared between patients with and without diabetes, and among patients treated with intermediate-acting (IA) biphasic neutral protamine Hagedorn 70/30, long-acting (LA) insulin, or rapid-acting insulin only. ResultsAmong those with type 2 diabetes mellitus, IA and LA insulin regimens were associated with a significantly higher proportion of patient-days in the target glucose range and fewer hyperglycemic days. Level 1 (<70 mg/dL) and level 2 (<54 mg/dL) hypoglycemia occurred rarely, and there were no significant differences in level 2 hypoglycemia frequency across the different insulin regimens. ConclusionAdministration of IA and LA insulin can be safe and effective for those receiving insulin doses for EN-related hyperglycemia.

Automated Insulin Delivery for Pregnant Women With Type 1 Diabetes: Where Do We Stand?

Automated insulin delivery (AID) systems mimic an artificial pancreas via a predictive algorithm integrated with continuous glucose monitoring (CGM) and an insulin pump, thereby providing AID. Outside of pregnancy, AID has led to a paradigm shift in the management of people with type 1 diabetes (T1D), leading to improvements in glycemic control with lower risk for hypoglycemia and improved quality of life. As the use of AID in clinical practice is increasing, the number of women of reproductive age becoming pregnant while using AID is also expected to increase. The requirement for lower glucose targets than outside of pregnancy and for frequent adjustments of insulin doses during pregnancy may impact the effectiveness and safety of AID when using algorithms for non-pregnant populations with T1D. Currently, the CamAPS® FX is the only AID approved for use in pregnancy. A recent randomized controlled trial (RCT) with CamAPS® FX demonstrated a 10% increase in time in range in a pregnant population with T1D and a baseline glycated hemoglobin (HbA1c) ≥ 48 mmol/mol (6.5%). Off-label use of AID not approved for pregnancy are currently also being evaluated in ongoing RCTs. More evidence is needed on the impact of AID on maternal and neonatal outcomes. We review the current evidence on the use of AID in pregnancy and provide an overview of the completed and ongoing RCTs evaluating AID in pregnancy. In addition, we discuss the advantages and challenges of the use of current AID in pregnancy and future directions for research.

Positive association between the proinsulin-to-C-peptide ratio and prolonged hyperglycemic time in type 2 diabetes.

The proinsulin-to-C-peptide (PI:C) ratio is an index applied during the early stage of pancreatic β-cell dysfunction. The aim of this study was to identify the characteristics associated with the PI:C ratio to discuss pancreatic β-cell dysfunction progression during the natural course of type 2 diabetes and its relationship with glycemic management. This multicenter, prospective observational study included 272 outpatients with type 2 diabetes. Continuous glucose monitoring was performed and fasting blood samples were collected and analyzed. We identified the clinical factors associated with the PI:C ratio by multiple regression analysis. The mean age of the cohort was 68.0 years, mean hemoglobin A1c 7.1% (54 mmol/mol), and mean body mass index 24.9 kg/m2. Multiple regression analysis showed that a prolonged time above the target glucose range (>180 mg/dL) and high body mass index contributed to a high PI:C ratio. However, no associations were found between the PI:C ratio and glucose variability indices. These findings suggested that the PI:C ratio is positively associated with a prolonged hyperglycemic time in type 2 diabetes, whereas its relationship with glucose variability remains unclear.

Harnessing glucose metabolism with nanomedicine for cancer treatment.

The significance of metabolic processes in cancer biology has garnered substantial attention, as they are essential for meeting the anabolic demands and maintaining the redox balance of rapidly dividing cancer cells. A distinctive feature of tumors is that cancer cells, unlike normal cells, exhibit an increased rate of glucose metabolism. They predominantly relying on aerobic glycolysis to metabolize glucose, which enables these cells to supply energy and produce the necessary building blocks for growth. Targeting glucose metabolism has led to the development of various cancer treatments. However, these agents often have limited efficacy due to factors such as poor stability and solubility, rapid clearance and an insufficient amount of the drug reaching the target site. These limitations can be overcome by preparing nano dosage forms through nanotechnology, which leverages the unique properties of nanomaterials to deliver drugs more precisely to target tissues with controlled release. In this review, we provide a comprehensive overview of the latest advancements in nanomedicine, focusing on the modulation of glucose metabolism in cancer cells. We discuss the design and application of various strategies that have been engineered to target the metabolic hallmarks of cancer. These nanomedicine strategies aim to exploit the metabolic vulnerabilities of cancer cells, thereby offering novel approaches to cancer therapy. The review highlights the innovative nanomaterials and their potential to deliver therapeutic agents more effectively, as well as the challenges and considerations in translating these nanomedicines from bench to bedside. By targeting the glucose metabolism of cancer cells, these nanoscale interventions hold promise for improving treatment outcomes and potentially overcoming the resistance that often plagues conventional cancer therapies.

Targeting Glucose Metabolism in Cancer Immunotherapy: A Promising Avenue for Enhanced Treatment Strategies

Cancer immunotherapy has emerged as an innovative strategy for treating multiple types of cancer. Recent breakthroughs have emphasized the significance of altering glucose metabolism in malignant cells; specifically, the heightened dependency of cancer cells on glucose metabolism (“Warburg effect”), where cancer cells alter their metabolic pathway so that they utilize glucose as an energy source, even when oxygen is present. This adaptation allows for rapid tumor cell proliferation, enabling them to grow and divide at an accelerated pace. Current research concentrates on the development of cancer treatments aimed at inhibiting glucose metabolism in cancer cells. This approach aims to improve the effectiveness of existing immunotherapies by utilizing the metabolic pathways of malignant cells through direct and indirect inhibition of glycolysis. This review discusses the interplay between glucose metabolism and immune response, explores current efforts in manipulating glucose metabolism for therapeutic benefits, and provides insights into future directions for optimizing this strategy.

Short-term recovery of insulin secretion in response to a meal is associated with future glycemic control in type 2 diabetes patients.

Endogenous insulin secretion could be recovered by improving hyperglycemia in patients with type 2 diabetes. This study aimed to investigate the association between short-term recovery of insulin secretion during hospitalization and clinical background or future glycemic control in patients with type 2 diabetes. A total of 127 patients with type 2 diabetes were included. The recovery of endogenous insulin secretion was determined using the following indices: index A: fasting C-peptide index (CPI) at discharge - fasting CPI on admission; index B: postprandial CPI at discharge - postprandial CPI on admission; and index C: Δ C-peptide immunoreactivity (CPR) (postprandial CPR - fasting CPR) at discharge - ΔCPR on admission. We examined the associations of each index with clinical background and future glycemic control measured by glycosylated hemoglobin and continuous glucose monitoring. Using index A and B, the age was significantly younger, whereas BMI and visceral fat area were significantly higher in the high-recovery group than in the low-recovery group. Changes in glycosylated hemoglobin levels were significantly greater at 6 and 12 months in the high-recovery group in the analysis of index C. The receiver operating characteristic curve analysis identified the index B and index C as indicators to predict glycosylated hemoglobin <7.0% at 6 months after discharge. Furthermore, index C was positively correlated with the time in the target glucose range, and inversely correlated with the standard deviation of glucose at 3 and 12 months after discharge. Short-term recovery of insulin secretion in response to a meal during hospitalization, evaluated with the index-C, might predict future glycemic control.

Time in Tight Glucose Range in Type 1 Diabetes: Predictive Factors and Achievable Targets in Real-World Users of the MiniMed 780G System.

We studied time in tight range (TITR) (70-140 mg/dL) in real-world users of the MiniMed 780G system (MM780G). CareLink Personal data were extracted (August 2020 to December 2022) to examine TITR and its relationship with time in range (TIR; 70-180 mg/dL), factors predicting higher TITR, and which TITR target is a reasonable treatment goal. The 13,461 users (3,762 age ≤15 years and 9,699 age >15 years) showed an average TITR of 48.9% in those age ≤15 years and 48.8% in the older group (vs. TIR 71.2% and 73.9%, respectively). Consistent use of a glucose target (GT) of 100 mg/dL and active insulin time (AIT) of 2 h were the most relevant factors predicting higher TITR (P < 0.0001). In users consistently applying these optimal settings, TITR was 56.7% in those age ≤15 years and 57.0% in the older group, and the relative impact of these settings on TITR was 60% and 86% greater than that on TIR, respectively. TITRs of ∼45% (age ≤15 years 46.3% and older group 45.4%), ∼50% (50.7% and 50.7%) and ∼55% (56.4% and 58.0%) were best associated with glucose management indicators <7.0%, <6.8%, and <6.5%, respectively. TITRs of >45%, >50%, and >55% were achieved in 91%, 74%, and 55% of those age ≤15 years and 93%, 81%, and 57% of older group users, respectively, at optimal settings. This study demonstrates that 1) mean TIR is high with a high mean TITR in MM780G users (>48%), 2) consistent use of optimal GT/AIT improves TITR (>56%), 3) the impact of these settings on TITR is larger than on TIR, and 4) a TITR target >50% is our suggested treatment goal.

Advanced decision support system for individuals with diabetes on multiple daily injections therapy using reinforcement learning and nearest-neighbors: In-silico and clinical results

Many individuals with diabetes on multiple daily insulin injections therapy use carbohydrate ratios (CRs) and correction factors (CFs) to determine mealtime and correction insulin boluses. The CRs and CFs vary over time due to physiological changes in individuals' response to insulin. Errors in insulin dosing can lead to life-threatening abnormal glucose levels, increasing the risk of retinopathy, neuropathy, and nephropathy. Here, we present a novel learning algorithm that uses Q-learning to track optimal CRs and uses nearest-neighbors based Q-learning to track optimal CFs. The learning algorithm was compared with the run-to-run algorithm A and the run-to-run algorithm B, both proposed in the literature, over an 8-week period using a validated simulator with a realistic scenario created with suboptimal CRs and CFs values, carbohydrate counting errors, and random meals sizes at random ingestion times. From Week 1 to Week 8, the learning algorithm increased the percentage of time spent in target glucose range (4.0 to 10.0 mmol/L) from 51 % to 64 % compared to 61 % and 58 % with the run-to-run algorithm A and the run-to-run algorithm B, respectively. The learning algorithm decreased the percentage of time spent below 4.0 mmol/L from 9 % to 1.9 % compared to 3.4 % and 2.3 % with the run-to-run algorithm A and the run-to-run algorithm B, respectively. The algorithm was also assessed by comparing its recommendations with (i) the endocrinologist's recommendations on two type 1 diabetes individuals over a 16-week period and (ii) real-world individuals' therapy settings changes of 23 individuals (19 type 2 and 4 type 1) over an 8-week period using the commercial Bigfoot Unity Diabetes Management System. The full agreements (i) were 89 % and 76 % for CRs and CFs for the type 1 diabetes individuals and (ii) was 62 % for mealtime doses for the individuals on the commercial Bigfoot system. Therefore, the proposed algorithm has the potential to improve glucose control in individuals with type 1 and type 2 diabetes.

Safety, Metabolic and Psychological Outcomes of Medtronic MiniMed 780G™ in Children, Adolescents and Young Adults: A Systematic Review.

The MiniMed™ 780G is a second-generation automated insulin delivery system that implements a modified proportional-integral-derivative algorithm with some features of an MD-Logic artificial pancreas algorithm. The system may deliver automatic correction boluses up to every 5min, and it allows the user to choose between three glucose target setpoints (100, 110 and 120mg/dL). We aimed to review the current evidence on this device in children, adolescents, and young adults living with type 1 diabetes. We screened 783 papers, but only 31 manuscripts were included in this review. Data on metabolic outcomes show that this system is safe as regards severe hypoglycaemia and diabetic ketoacidosis. The glycated haemoglobin may drop to levels about 7%, with CGM reports showing a time in range of 75-80%. The time above range and the time below range are within the recommended target in most of the subjects. Few studies evaluated the psychological outcomes. This system seems to be more effective than the first-generation automated insulin delivery systems. The MiniMed™ 780G has been associated with an improvement in sleep quality in subjects living with diabetes and their caregivers, along with an improvement in treatment satisfaction. Psychological distress is as reduced as the glucose control is improved. We also discuss some case reports describing particular situations in clinical practice. Finally, we think that data show that this system is a further step towards the improvement of the treatment of diabetes as concerns both metabolic and psychological outcomes.

Kinetics and Dynamics of Sorption of the Glucose Target Molecule by a Molecularly Imprinted Polymer

The effect of imprinting of a polymer matrix based on ethylene glycol dimethacrylate on the kinetics and dynamics of binding of the glucose target molecule has been studied. The contribution of the adsorption act to the sorption kinetics of the target sorbate by the molecularly imprinted polymer was established. Mixed-diffusion limitation of mass transfer and cooperative adsorption of glucose molecules during sorption by both imprinted and nonimprinted polymer granules were revealed. The binding rate and accessibility of sorption sites in the imprinted polymer were shown to increase, and frontal sorption occurred in a regular mode.

Kinetics and Dynamics of Sorption of the Glucose Target Molecule by a Molecularly Imprinted Polymer

Kinetics and Dynamics of Sorption of the Glucose Target Molecule by a Molecularly Imprinted Polymer

Dysfunctional cerebral glucose transport in Alzheimer’s Disease

AbstractBackgroundGlucose is the primary energy source required for the homeostatic function of the brain. Glucose transporter 1 (GLUT1) present at the blood‐brain barrier is a key regulator of glucose transport into the brain. Reduced GLUT1 expression is shown to exacerbate Alzheimer’s pathology in rodent models. Here we aimed to establish whether there are regional differences in ineffective glucose transport amongst people living with Alzheimer’s disease.Method125 participants diagnosed with Alzheimer’s dementia, with an [18F]FDG scan with atrial input were enrolled. All participants underwent 3‐tesla magnetic resonance imaging and [18F]FDG scan with continuous and discrete arterial sampling. Spectral analysis was performed to create 1‐minute input‐response function parametric maps. To produce glucose transfer maps we applied the following equation; K1 ⁎ Ca / τ (K1 = 1‐minute IRF map, Ca = Plasma glucose concentration, τ = 1.48 a lumped constant). Glucose transfer maps were then coregistered to the participants’ structural MRI and normalised to MNI space. Regional mean glucose transfer was then calculated for the anterior cingulate cortex, frontal lobe, hippocampus, parahippocampus, occipital lobe, parietal lobe, posterior cingulate cortex, striatum, temporal lobe, and thalamus. A within‐subject ANOVA was then performed to evaluate the regional differences in cerebral glucose transport.ResultThe parahippocampus exhibited the lowest rate of glucose transfer in comparison to all other regions (p &lt; 0.001), followed by the hippocampus. The striatum and occipital lobe demonstrated the regions of the highest mean glucose transportation from blood to the brain. In terms of brain lobes, the temporal lobe showed the lowest rates of glucose transfer, followed by the parietal lobe, then frontal and occipital (p &lt; 0.001).ConclusionWe demonstrate dysfunctional BBB glucose transport in Alzheimer’s disease, with prominent glucose transport abnormalities localised in the parahippocampus. Impaired glucose transport was most apparent within temporal lobe structures. Targeting glucose transfer may be an effective way of treating Alzheimer’s disease.