Prandial Insulin Research Articles

Efficacy of Semaglutide in Overweight and Obese Patients with Type 1 Diabetes.

Introduction: More than two-thirds of patients with type 1 diabetes (T1D) are overweight (OW) and/or obese (OB) in the USA and Western Europe, resulting in insulin resistance as in type 2 diabetes. None of the currently available glucagon like polypeptide 1 (GLP-1) analogs are approved for patients with T1D. A higher dose of semaglutide has been approved by the Food and Drug Administration (FDA) for subjects with body mass index (BMI) >27 kg/m2. We evaluated the real-world use of semaglutide in patients with T1D. Methods: This was a retrospective chart review study of 50 OW or OB patients with T1D who were initiated on semaglutide and followed for 1 year. The control group comprised of 50 computer-matched patients (for sex, race, weight, BMI, and diabetes duration) during a similar time period and were not on any weight loss medications. Results: Most patients (92%) were non-Hispanic white in both arms. Mean ± standard deviation (SD) age and duration of diabetes were 42 ± 11 and 27 ± 12 years, respectively. The continuous glucose monitors (CGM), insulin pump use, baseline BMI and body weight were also similar in the two groups. Baseline glycosylated hemoglobin (HbA1c) was insignificantly lower in the semaglutide group (7.6% vs. 8.2%, respectively; P = non-significant [NS]). Total daily insulin dose (TDD) and insulin dose per kg body weight were higher in the semaglutide group at baseline with no difference in basal or prandial insulin dose. There were significantly greater declines in mean (±SD), BMI (7.9% ± 2.6%), body weight (15.9 lbs ± 5.4 lbs), HbA1c, CGM glucose SD and coefficient of variation (CV), and increase in CGM time in range (TIR) in the semaglutide group compared to the control group with no difference in insulin dose changes, time above range (TAR), or time below range (TBR). Conclusions: We conclude that use of semaglutide in patients who are OW and/or OB with T1D was effective in lowering body weight and BMI, and improving glycemic metrics in this pilot real-world study. We strongly recommend performing prospective, large-randomized clinical trials with newer GLP-1 analogs like semaglutide and tirzepatide (twin-cretin) for subjects with T1D associated with OW and/or OB.

Vagal activation alters prandial bile acid composition and glycemia in patients with hypoglycemia after Roux-en-Y gastric bypass surgery.

Altered prandial glycemic response after Roux-en-Y gastric bypass (RYGB) is exaggerated in patients with post-RYGB hypoglycemia. Increased contribution of glucagon-like peptide 1 (GLP-1) to prandial insulin secretion plays a key role in developing hypoglycemia after RYGB, but the role of nonhormonal gut factors remains unknown. Here, the effect of vagal activation on prandial bile acid (BA) composition in relation to glucose, insulin and gut hormone responses was examined in a small size group of nondiabetic subjects after RYGB with intact gallbladder compared to nonoperated controls. Concentrations of blood glucose, hormones, and BAs were measured in two RYGB subjects with documented hypoglycemia (HGB), three asymptomatic RYGB-treated subjects (AGB), and four nonoperated controls with intact gallbladders during a meal-tolerance test with (MTT-Sham) and without (MTT) preceding modified sham feeding (chew and spit). Meal ingestion raised serum total BAs in RYGB-treated subjects without any effect in nonoperated controls. Modified sham feeding similarly increased meal-induced responses of conjugated BAs (CBAs) in all subjects (p < 0.05 compared to MTT alone), whereas unconjugated BAs (UBAs), mainly deoxycholic and chenodeoxycholic acid, were raised only in the HGB group (p < 0.001 for interaction). Prandial UBAs had an inverse correlation with glucose nadir (r = -0.75, p < 0.05) and were directly associated with ISR and GLP-1 during MTT-Sham. In this small cohort, vagal activation by modified sham feeding increases prandial CBAs in both operated and nonoperated subjects but enhances UBAs only in patients with documented post-RYGB hypoglycemia. Our findings highlight a potential role for nonhormonal gut factors, such as BA and gut microbiome, in glucose abnormalities after RYGB.

Glycemic Management Around Postprandial Exercise in People With Type 1 Diabetes: Challenge Accepted.

The precise glycemic impact and clinical relevance of postprandial exercise in type 1 diabetes (T1D) has not been clarified yet. This work aimed to examine acute, subacute, and late effects of postprandial exercise on blood glucose (BG). A randomized, controlled trial comprised 4 laboratory visits, with 24-hour follow-up at home. Participants included adults with T1D (n = 8), aged 44 ± 13 years, with body mass index of 24 ± 2.1. Intervention included 30 minutes of rest (CONTROL), walking (WALK), moderate-intensity (MOD), or intermittent high-intensity (IHE) exercise performed 60 minutes after a standardized meal. Main outcome measures included BG change during exercise/control (acute), and secondary outcomes included the subacute (≤2 h after) and late glycemic effects (≤24 h after). Exercise reduced postprandial glucose (PPG) excursion compared to CONTROL, with a consistent BG decline in all patients for all modalities (mean declines -45 ± 24, -71 ± 39, and -35 ± 21 mg/dL, during WALK, MOD, and IHE, respectively (P < .001). For this decline, clinical superiority was demonstrated separately for each exercise modality vs CONTROL. Noninferiority of WALK vs MOD was not demonstrated, noninferiority of WALK vs IHE was demonstrated, and equivalence of IHE vs MOD was not demonstrated. Hypoglycemia did not occur during exercise. BG increased in the hour after exercise (more than after CONTROL; P < .001). More than half of participants showed hyperglycemia after exercise necessitating insulin correction. There were more nocturnal hypoglycemic events after exercise vs CONTROL (P < .05). Postprandial exercise of all modalities is effective, safe, and feasible if necessary precautions are taken (ie, prandial insulin reductions), as exercise lowered maximal PPG excursion and caused a consistent and clinically relevant BG decline during exercise while there was no hypoglycemia during or shortly after exercise. However, there seem to be 2 remaining challenges: subacute postexercise hyperglycemia and nocturnal hypoglycemia.

Tirzepatide: A Review in Type 2 Diabetes.

Tirzepatide (Mounjaro®), a first-in-class dual incretin agonist of the glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) receptors, is approved for use as an adjunct to diet and exercise to improve glycaemic control in adults with type 2 diabetes mellitus (T2DM) in the USA, EU, Japan and other countries. It comes as single-dose prefilled pens and single-dose vials. In phase III SURPASS trials, once-weekly subcutaneous tirzepatide, as monotherapy or add-on-therapy to oral glucose-lowering medications and insulin, was superior to the GLP-1 receptor agonists (RAs) dulaglutide 0.75mg and semaglutide 1mg as well as basal and prandial insulin for glycaemic control and weight loss in adults with inadequately controlled T2DM. Tirzepatide was generally well tolerated, with a safety profile consistent with that of GLP-1 RAs. Tirzepatide was associated with a low risk of clinically significant or severe hypoglycaemia and no increased risk of major adverse cardiovascular events. Adverse events were mostly mild to moderate in severity, with the most common being gastrointestinal events including nausea, diarrhoea, decreased appetite and vomiting. In conclusion, tirzepatide is a valuable addition to the treatment options for T2DM.

Short- and Long-Term Effects on Glucose Control of Nonadherence to Insulin Therapy in People With Type 2 Diabetes An In Silico Study.

Strict adherence to multiple daily insulin (MDI) therapy is a cornerstone for the achievement of good glucose control in people with advanced type 2 diabetes (T2D). Here, we aim to in silico assess glucose control in T2D subjects with poor adherence to MDI therapy. We tuned the Padova T2D Simulator, originally describing early-stage T2D physiology, around advanced T2D people. One hundred in silico advanced T2D subjects were generated and equipped with optimal MDI therapy: specifically, basal and bolus insulin amounts and injection times were individualized for each subject by applying titration algorithms that iteratively update insulin dose based on glucose deviation from its target. Then, the effect of nonadhering to MDI therapy was assessed using standard glucose control metrics calculated in two 6-month 3-meal/day in silico scenarios: in Scenario 1, subjects received the optimal basal and prandial insulin bolus at each meal; in Scenario 2, subjects received optimal basal insulin and randomly delayed or skipped the prandial insulin bolus in 3 lunches during working days and 1 dinner during weekends. A statistically significant degradation was found in all glucose control outcome metrics in Scenario 2 versus Scenario 1: e.g., percent time above 180 mg/dL increased by 22.2% and glucose management index by 0.2%. Impaired adherence to MDI therapy in T2D leads to glucose control deteriorations in both short and long terms. Interestingly, short-term hyperglycemia seems being contrasted by residual endogenous insulin secretion, which statistically increased by 3-fold after delayed/skipped insulin boluses compared with optimal ones.

Delayed prandial insulin boluses are an important determinant of blood glucose control and relate to fear of hypoglycemia in people with type 1 diabetes on advanced technologies

AimsAutomated insulin delivery systems improve blood glucose control in patients with type 1 diabetes (T1D). However, optimizing their performance requires patient's proper compliance to meal insulin bolus administration. We explored real-life prevalence of delayed prandial boluses (DBs) in adults with T1D on advanced technologies, and their association with glycemic control and fear of hypoglycemia (FH). MethodsIn the last two-week web-based reports of 152 adults with T1D on Hybrid Closed Loop Systems (HCLS) or Sensor Augmented Pump (SAP), DBs were identified when a steep increase in blood glucose occurred at CGM before the prandial bolus, and CGM metrics were evaluated. All participants completed an online questionnaire on FH. ResultsMean DBs over two weeks were 10.2 ± 4.7 (M ± SD, range 1–23) and more frequent in women than men (11.0 ± 4.6 vs. 9.4 ± 4.7, p = 0.036). Participants with more DBs (>12) showed significantly lower Time-In-Range (62.4 ± 13.8 vs. 76.6 ± 9.0 %) than those with less DBs (<7.7), along with higher Time-Above-Range, GMI, and Coefficient-of-Variation (ANOVA, p < 0.001 for all). Participants with higher FH score showed more DBs (11.6 ± 5.0) than those in lower tertiles (9.57 ± 4.59 and 9.47 ± 4.45, ANOVA p = 0.045). ConclusionsIn patients on advanced technologies, delayed boluses are extremely common, and associate with significantly worse glycemic control. Utmost attention is needed to bolus timing, mainly tackling fear of hypoglycemia.

Evolution of biosynthetic human insulin and its analogues for diabetes management.

Hormones play a crucial role in maintaining the normal human physiology. By acting as chemical messengers that facilitate the communication between different organs, tissues and cells of the body hormones assist in responding appropriately to external and internal stimuli that trigger growth, development and metabolic activities of the body. Any abnormalities in the hormonal composition and balance can lead to devastating health consequences. Hormones have been important therapeutic agents since the early 20th century, when it was realized that their exogenous supply could serve as a functional substitution for those hormones which are not produced enough or are completely lacking, endogenously. Insulin, the pivotal anabolic hormone in the body, was used for the treatment of diabetes mellitus, a metabolic disorder due to the absence or intolerance towards insulin, since 1921 and is the trailblazer in hormone therapeutics. At present the largest market share for therapeutic hormones is held by insulin. Many other hormones were introduced into clinical practice following the success with insulin. However, for the six decades following the introduction the first therapeutic hormone, there was no reliable method for producing human hormones. The most common source for hormones were animals, although semisynthetic and synthetic hormones were also developed. However, none of these were optimal because of their allergenicity, immunogenicity, lack of consistency in purity and most importantly, scalability. The advent of recombinant DNA technology was a game changer for hormone therapeutics. This revolutionary molecular biology tool made it possible to synthesize human hormones in microbial cell factories. The approach allowed for the synthesis of highly pure hormones which were structurally and biochemically identical to the human hormones. Further, the fermentation techniques utilized to produce recombinant hormones were highly scalable. Moreover, by employing tools such as site directed mutagenesis along with recombinant DNA technology, it became possible to amend the molecular structure of the hormones to achieve better efficacy and mimic the exact physiology of the endogenous hormone. The first recombinant hormone to be deployed in clinical practice was insulin. It was called biosynthetic human insulin to reflect the biological route of production. Subsequently, the biochemistry of recombinant insulin was modified using the possibilities of recombinant DNA technology and genetic engineering to produce analogues that better mimic physiological insulin. These analogues were tailored to exhibit pharmacokinetic and pharmacodynamic properties of the prandial and basal human insulins to achieve better glycemic control. The present chapter explores the principles of genetic engineering applied to therapeutic hormones by reviewing the evolution of therapeutic insulin and its analogues. It also focuses on how recombinant analogues account for the better management of diabetes mellitus.

Real-world lived experience of older adults with type 1 diabetes after an automated insulin delivery trial.

First-generation closed-loop automated insulin delivery improves glycaemia and psychosocial outcomes among older adults with type 1 diabetes in clinical trials. However, no study has previously assessed real-world lived experience of older adults using closed-loop therapy outside a trial environment. Semi-structured interviews were conducted with older adults who were pre-existing insulin pump users and previously completed the OldeR Adult Closed-Loop (ORACL) randomised trial. Interviews focused on perceptions of diabetes technology use, and factors influencing decisions regarding continuation. Twenty-eight participants, mean age 70 years (SD 5), were interviewed at median 650 days (IQR 608-694) after their final ORACL trial visit. At interview, 23 participants (82%) were still using a commercial closed-loop system (requiring manual input for prandial insulin bolus doses). Themes discussed in interviews relating to closed-loop system use included sustained psychosocial benefits, cost and retirement considerations and usability frustrations relating to sensor accuracy and system alarms. Of the five participants who had discontinued, reasons included cost, continuous glucose monitoring-associated difficulties and usability frustrations. Cost was the largest consideration regarding continued use; most participants considered the increased ease of diabetes management to be worth the associated costs, though cost was prohibitive for some. Almost 2 years after completing a closed-loop clinical trial, closed-loop automated insulin delivery remains the preferred type 1 diabetes therapy for the majority of older adult participants. Chronological age is not a barrier to real-world successful use of diabetes technology. Identifying age-related barriers, and solutions, to diabetes technology use among older adults is warranted.

Ultrarapid Insulin Use Can Reduce Postprandial Hyperglycemia and Late Hypoglycemia, Even in Delayed Insulin Injections: A Connected Insulin Cap-Based Real-World Study.

Objectives: Reaching optimal postprandial glucose dynamics is a daily challenge for people with type 1 diabetes (T1D). This study aimed to analyze the postprandial hyperglycemic excursion (PHEs) and late postprandial hypoglycemia (LPH) risk according to prandial insulin time and type. Research Design and Methods: Real-world, retrospective study in T1D using multiple daily injections (MDI) analyzing 5 h of paired continuous glucose monitoring and insulin injections data collected from the connected cap Insulclock®. Meal events were identified using the rate of change detection methodology. Postprandial glucometrics and LPH (glucose <70 mg/dL 2-5 h after a meal) were evaluated according to insulin injection time and rapid (RI) or ultrarapid analog, Fiasp® (URI), use. Results: Meal glycemic excursions (n = 2488), RI: 1211, 48.7%; UR: 1277, 51.3%, in 82 people were analyzed according to injection time around the PHE: -45 to -15 min; -15 to 0 min; and 0 to +45 min. In 63% of the meals, insulin was injected after the PHE started. Lower PHE was observed with URI versus RI (glucose peak-baseline; mg/dL; mean ± standard deviation): 106.7 ± 35.2 versus 111.2 ± 40.3 (P = 0.003), particularly in 0/+45 injections: 111.6 ± 40.2 versus 118.1 ± 43.3; (P = 0.002). One third (29.1%) of participants added a second (correction) injection. The use of URI and avoiding a second injection were independently associated with less LPH risk, even in delayed injections (0/+45), (-36%, odds ratio [OR] 0.641; confidence interval [CI]: 0.462-0.909; P = 0.012) and -56% (OR 0.641; CI: 0.462-0.909 P = 0.038), respectively. Conclusions: URI analog use as prandial insulin reduces postprandial hyper- and hypoglycemia, even in delayed injections.

SAT341 Even Mild Cortisol Excess Is Unsafe: Use of Mifepristone In Mild Autonomous Cortisol Secretion

Abstract Disclosure: A. Figueroa Cruz: None. M. Torres Torres: None. A.M. Santiago Carrion: None. Y. Ortiz Torres: None. A. Aponte Velez: None. I.A. Rivera Nazario: None. M.M. Mangual Garcia: None. Cortisol is released from the adrenal glands and works through the glucocorticoid receptor to mediate stress, metabolism, immune and inflammatory processes. Is known as our stress hormone and have manifestations in almost every system as its receptor is present in nearly every tissue. Therefore, even mild cortisol overproduction can lead to serious complications. Mild autonomous cortisol secretion (MACS) is prevalent in nearly half of adults with benign adrenal tumors and can increase the risk of hypertension and type 2 diabetes. It may go undiagnosed if not evaluated properly. There is controversial data on how we should treat this entity. Herein we present a case of MACS denoting the importance of its detection and management. 55yo female comes for evaluation after been found with bilateral adrenal masses in an MRI perform for back pain. Patient with PMHx of diabetes, hypertension, dyslipidemia, and osteopenia refers worsening hyperglycemia and blood pressure. She was previously well controlled with less medications and has needed frequent changes in therapy without achieving treatment goals. Physical exam was negative for discriminatory findings of Cushing’s syndrome. However, she recently noted increase in weight after starting sulfonylurea and insulin for blood glucose control. A CT scan confirmed the presence of adrenal masses measuring 2.5x2.9cm on the left and 2.0x2.4cm on the right with HU 10 and washout 82%. MACS was confirmed with a post Dexamethasone Suppression Test cortisol level of 10.8 ug/dL. Normal cortisol levels were found on Late Nigh Salivary Test done twice. In view of these findings, we can argue about how mild cortisol hypersecretion can be when patient A1c is 10.7% despite multiple therapies for blood glucose and uncontrolled blood pressure despite 3 medications in maximal doses. Considering surgery in this setting is controversial due to bilateral masses with minimal size difference. Since hypercortisolism needed to be addressed it was decided to start medical therapy with the glucocorticoid antagonist Mifepristone, although its use for MACS is considered off label. After mifepristone therapy A1c decreased to 8.0%, prandial insulin was discontinued, and basal insulin decreased. Current regimen for hypertension includes spironolactone to avoid hypokalemia related to mineralocorticoid stimulation of cortisol with mifepristone therapy. Patient symptoms and quality of life has improved significantly. Benign adrenal incidentalomas can cause MACS in up to 35% of cases. Untreated hypercortisolism can lead to complications, and increased mortality risk even when is “mild”. We just need the right amount of cortisol, and minimal excess need to be identified, for which high level of suspicion is needed and more education on this entity and its available treatment options is essential. Presentation: Saturday, June 17, 2023

SAT134 CGM Use During Pregnancy Complicated By CF-Induced Diabetes

Abstract Disclosure: A.Y. Mazori: None. E.S. Markovic: None. C.J. Levy: Advisory Board Member; Self; Dexcom, Eli Lilly &amp; Company. Research Investigator; Self; Abbott Laboratories, Insulet Corporation, Tandem Diabetes Care, Dexcom. Introduction: Glycemic control remains challenging in pregnancies complicated by diabetes mellitus. Strict glycemic targets are required to optimize maternal and neonatal outcomes, but euglycemia is hindered by fluctuating insulin sensitivity and the need for frequent blood-glucose monitoring (BGM). Consensus guidelines recommend therapeutic continuous glucose monitoring (CGM) for pregnant and nonpregnant individuals with type 1 and type 2 diabetes, but current data support therapeutic CGM use in cystic fibrosis (CF)-related diabetes (CFRD) only outside of pregnancy. We report the case of a patient with CFRD who achieved recommended glycemic targets with a therapeutic CGM during a singleton pregnancy. Methods: A case report and literature review are presented. Results: A 32-year-old nulliparous woman with CF became pregnant via frozen-embryo transfer. Prior CF complications included CFRD, pancreatic insufficiency, and recurrent pancreatitis. A therapeutic Dexcom G6 CGM and intermittent BGM were used to monitor glycemic control before and during pregnancy; sensor use exceeded 96%. Pressure-induced sensor attenuations yielded sporadic hypoglycemic values discordant with simultaneous BGM. CGM analysis for the 90 days preceding conception revealed: time in range of 63-140 mg/dL (TIR) was 90.8%, time above range (TAR) 6.3%, and time below range (TBR) 2.9%. Throughout pregnancy, TIR was 92.9%, TAR 3.4%, and TBR 3.6%; no severe hypoglycemia occurred. Daytime (6AM to midnight) and nighttime hypoglycemia were 4.6% and 2.2%, respectively. In the first trimester, TIR was 90.8%, TAR 3.7%, and TBR 5.5%. During the second trimester, the patient achieved TIR 94.2%, TAR 2.6%, and TBR 3.2%. In the third trimester, TIR was 95.7%, TAR 0.9%, and TBR 3.4%. The pregestational CFRD regimen consisted of insulin glargine 12 units and lispro 3-8 units. The basal-insulin dose was 10 units at 13 weeks’ gestation, 9 units at 27 weeks’ gestation, and 8 units at 38 weeks’ gestation. The prandial-insulin doses varied between 1.5-5 units at 13 weeks’ gestation, 0-7 units at 27 weeks’ gestation, and 0-5 units at 38 weeks’ gestation. After an uncomplicated vaginal delivery at 38 weeks and six days’ gestation, maternal fasting hypoglycemia occurred after one dose of glargine 3 units. Euglycemia was obtained without basal, prandial, or correctional insulin. The neonate experienced mild hypoglycemia that resolved with oral glucose gel and feeding. The neonate was neither macrosomic nor large for gestational age (birth weight, 3.54 kg, 71st percentile) and did not require intensive-care unit management. Both the patient and neonate were discharged on postpartum day two. Conclusion: Therapeutic CGM use in a pregnancy complicated by CFRD was effective for maternal and neonatal outcomes. Further study is warranted to examine CGM use and efficacy in this population. Presentation: Saturday, June 17, 2023

THU380 A Case Of Alpelisib Induced Diabetic Ketoacidosis (Dka) In A Patient With Type 2 Diabetes Mellitus And Rechallenge With SGLT2 Inhibitor

Abstract Disclosure: V. Sekar: None. S. Shaik: None. Introduction: Alpelisib is a α-selective phosphatidylinositol 3-kinase (PI3K) inhibitor recently used in treatment of advanced breast cancer. Hyperglycemia is an expected adverse effect with the use of PI3K inhibitors. We report a case of Alpelisib induced worsening hyperglycemia in a patient with type 2 diabetes mellitus who developed DKA while on Empagliflozin and was rechallenged with Dapagliflozin to achieve better glycemic control. Case Description: 60-year-old female with known history of type 2 diabetes mellitus was referred to Endocrinology prior to the start of PI3K inhibitor, Alpelisib for metastatic breast cancer. On initial visit her Hemoglobin A1C was 7.4 % and she was on Empagliflozin 25 mg daily, Sitagliptin 100 mg daily, Metformin XR 500 mg daily and Insulin Glargine 30 units daily. Three weeks after initiation of Alpelisib, patient reported uncontrolled fasting and post-prandial hyperglycemia, therefore her basal insulin was up-titrated and added on prandial insulin. Sitagliptin was discontinued. Two weeks later patient was admitted with Euglycemic diabetic ketoacidosis (DKA) which was treated with IV insulin and IV fluids. Empagliflozin was stopped and discharged on basal bolus regimen. In the next 6 weeks basal bolus regimen was significantly up-titrated and added on correctional insulin along with increasing Metformin XR to 500 mg twice a day due to poor glycemic control. During this time patient was cautiously restarted on Dapagliflozin 5 mg daily after discussing the better outcomes for Alpelisib induced hyperglycemia versus risk of DKA with reuse of SGLT2 inhibitors. Since being on Dapagliflozin her blood sugars were better controlled and the insulin requirements plateaued. Patient was closely monitored, and she didn’t develop further episode of DKA. Discussion: The PI3K pathway controls the effect of insulin intracellularly and its activation promotes tumor development, spread and failure to anticancer treatment. PI3K inhibitor blocks the intracellular action of insulin which causes reversible insulin resistance and hyperglycemia which is the major side effect of this drug. Use of insulin to treat hyperglycemia was shown to partially reactivate the PI3K pathway in tumoral cells, leading to cellular proliferation. Therefore, insulin should be kept as the last line antihyperglycemic agent. Exploratory analysis of SOLAR-1* trial has shown better glycemic control with use of SGLT2 inhibitors in patient with Alpelisib induced hyperglycemia along with improved efficacy of Alpelisib against tumor growth. Both PI3K inhibitor and SGLT2 inhibitor has risk of causing DKA, but close monitoring and patient education helps to reduce the risk. Reference *Study Assessing the Efficacy and Safety of Alpelisib Plus Fulvestrant in Men and Postmenopausal Women with Advanced Breast Cancer Which Progressed on or After Aromatase Inhibitor Treatment Presentation: Thursday, June 15, 2023

Tirzepatide vs Insulin Lispro Added to Basal Insulin in Type 2 Diabetes

Tirzepatide is a glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonist used for the treatment of type 2 diabetes. Efficacy and safety of adding tirzepatide vs prandial insulin to treatment in patients with inadequate glycemic control with basal insulin have not been described. To assess the efficacy and safety of tirzepatide vs insulin lispro as an adjunctive therapy to insulin glargine. This open-label, phase 3b clinical trial was conducted at 135 sites in 15 countries (participants enrolled from October 19, 2020, to November 1, 2022) in 1428 adults with type 2 diabetes taking basal insulin. Participants were randomized (in a 1:1:1:3 ratio) to receive once-weekly subcutaneous injections of tirzepatide (5 mg [n = 243], 10 mg [n = 238], or 15 mg [n = 236]) or prandial thrice-daily insulin lispro (n = 708). Outcomes included noninferiority of tirzepatide (pooled cohort) vs insulin lispro, both in addition to insulin glargine, in HbA1c change from baseline at week 52 (noninferiority margin, 0.3%). Key secondary end points included change in body weight and percentage of participants achieving hemoglobin A1c (HbA1c) target of less than 7.0%. Among 1428 randomized participants (824 [57.7%] women; mean [SD] age, 58.8 [9.7] years; mean [SD] HbA1c, 8.8% [1.0%]), 1304 (91.3%) completed the trial. At week 52, estimated mean change from baseline in HbA1c with tirzepatide (pooled cohort) was -2.1% vs -1.1% with insulin lispro, resulting in mean HbA1c levels of 6.7% vs 7.7% (estimated treatment difference, -0.98% [95% CI, -1.17% to -0.79%]; P < .001); results met noninferiority criteria and statistical superiority was achieved. Estimated mean change from baseline in body weight was -9.0 kg with tirzepatide and 3.2 kg with insulin lispro (estimated treatment difference, -12.2 kg [95% CI, -13.4 to -10.9]). The percentage of participants reaching HbA1c less than 7.0% was 68% (483 of 716) with tirzepatide and 36% (256 of 708) with insulin lispro (odds ratio, 4.2 [95% CI, 3.2-5.5]). The most common adverse events with tirzepatide were mild to moderate gastrointestinal symptoms (nausea: 14%-26%; diarrhea: 11%-15%; vomiting: 5%-13%). Hypoglycemia event rates (blood glucose level <54 mg/dL or severe hypoglycemia) were 0.4 events per patient-year with tirzepatide (pooled) and 4.4 events per patient-year with insulin lispro. In people with inadequately controlled type 2 diabetes treated with basal insulin, weekly tirzepatide compared with prandial insulin as an additional treatment with insulin glargine demonstrated reductions in HbA1c and body weight with less hypoglycemia. ClinicalTrials.gov Identifier: NCT04537923.

In Silico Validation of Personalized Safe Intervals for Carbohydrate Counting Errors.

For patients with Type 1 diabetes mellitus (T1DM), accurate carbohydrate counting (CC) is essential for successful blood glucose regulation. Unfortunately, mistakes are common and may lead to an incorrect dosage of prandial insulin. In this work, we aim to demonstrate that each person has their own limits for CC errors, which can be computed using patient-specific data. To validate the proposed method, we tested it using several scenarios to investigate the effect of different CC errors on postprandial blood glucose. Virtual subjects from the T1DM Simulator were used in a clinical trial involving 450 meals over 90 days, all following the same daily meal plan but with different intervals for CC errors near, below, and above the limit computed for each patient. The results show that CC errors within personalized limits led to acceptable postprandial glycemic fluctuations. In contrast, experiments where 50% and 97.5% of the meals present a CC error outside the computed safe interval revealed a pronounced degradation of the time in range. Given these results, we consider the proposed method for obtaining personalized limits for CC errors an excellent starting point for an initial assessment of patients' capabilities in CC and to provide appropriate ongoing education.

Newly diagnosed type 1 diabetes mellitus in a human immunodeficiency virus-infected patient with antiretroviral therapy-induced immune reconstitution inflammatory syndrome: a case report

BackgroundDiabetes that develops in human immunodeficiency virus (HIV)-infected patients who receive antiretroviral therapy (ART) is usually type 2 diabetes mellitus (T2DM); however, autoimmune diabetes, such as type 1 diabetes mellitus (T1DM) can also develop in this population. After treatment with ART, patients might experience clinical deterioration following an increase in the CD4 cell count, which is termed immune reconstitution inflammatory syndrome (IRIS). Here, we describe an HIV-infected patient on ART who developed T1DMat due to IRIS, highlighting the clinical complexity in diagnosis and treatment.Case presentationA 36-year-old man infected with HIV had a nadir CD4 cell count of 15.53/μL before medication, which increased to 429.09/μL after 9 months of regular ART. The fasting serum glucose at 9 months was between 96 mg/dL and 117 mg/dL. After 11 months of ART, the patient was admitted to hospital for diabetic ketoacidosis (DKA) and Graves’ disease (GD). Noninsulin antidiabetics (NIADs) were prescribed following the resolution of DKA. However, poor glycemic control was noted despite well-titrated NIADs. Further investigation demonstrated poor pancreatic beta cell function and elevated anti-glutamic acid decarboxylase (anti-GAD) and anti-tyrosine phosphatase-like insulinoma antigen 2 (anti-IA2) titers. According to the results, he was diagnosed with T1DM and received multiple daily injections(MDI) of insulin. The regimen of MDI was insulin degludec as basal insulin and insulin aspart as prandial insulin. After MDI therapy, his glycemic control was improved.ConclusionIn this case, T1DM was ascribed to IRIS. Although this phenomenon has been demonstrated in previous case reports, further study is necessary to realize the mechanism of this association. Therefore, we emphasize that when HIV-infected patients on ART experience an unstable blood glucose level and abnormal thyroid function, physicians should consider T1DM and GD associated with ART-induced IRIS to reduce the subsequent complications and more serious endocrine dysfunction.

Impact of a Combined Continuous Glucose Monitoring-Digital Health Solution on Glucose Metrics and Self-Management Behavior for Adults With Type 2 Diabetes: Real-World, Observational Study.

The BlueStar (Welldoc) digital health solution for people with diabetes incorporates data from multiple devices and generates coaching messages using artificial intelligence. The BlueStar app syncs glucose data from the G6 (Dexcom) real-time continuous glucose monitoring (RT-CGM) system, which provides a glucose measurement every 5 minutes. The objective of this real-world study of people with type 2 diabetes (T2D) using the digital health solution and RT-CGM was to evaluate change in glycemic control and engagement with the program over 3 months. Participants were current or former enrollees in an employer-sponsored health plan, were aged 18 years or older, had a T2D diagnosis, and were not using prandial insulin. Outcomes included CGM-based glycemic metrics and engagement with the BlueStar app, including logging medications taken, exercise, food details, blood pressure, weight, and hours of sleep. Participants in the program that met our analysis criteria (n=52) were aged a mean of 53 (SD 9) years; 37% (19/52) were female and approximately 50% (25/52) were taking diabetes medications. The RT-CGM system was worn 90% (SD 8%) of the time over 3 months. Among individuals with suboptimal glycemic control at baseline, defined as mean glucose >180 mg/dL, clinically meaningful improvements in glycemic control were observed, including reductions in a glucose management indicator (-0.8 percentage points), time above range 181-250 mg/dL (-4.4 percentage points) and time above range >250 mg/dL (-14 percentage points; all P<.05). Time in range 70-180 mg/dL also increased by 15 percentage points (P=.016) in this population, which corresponds to an increase of approximately 3.5 hours per day in the target range. Over the 3-month study, 29% (15/52) of participants completed at least one engagement activity per week. Medication logging was completed most often by participants (23/52, 44%) at a rate of 12.1 (SD 0.8) events/week, and this was closely followed by exercise and food logging. The combination of an artificial intelligence-powered digital health solution and RT-CGM helped people with T2D improve their glycemic outcomes and diabetes self-management behaviors.

Long-term restraint stress as a predictor of insulin resistance development in experimental rats

The aim of the work was to define the pattern of changes and pathogenetic mechanisms of glycemic curve shape during a glucose tolerance test in rats at 6, 15, and 21 weeks of environmental space restriction. Materials and methods. A total of 55 male Wistar rats aged 6–10 months were used and divided into 4 groups (1 – intact control, 10 rats; 2, 3 and 4 of 15 rats each, which were in conditions of restricted environmental space for 6, 15 and 21 weeks, respectively). Fasting plasma levels of glucose (test strips Test Strip II on a Glucocard glucometer (ARKRAY Inc., Japan)), insulin and corticosterone (by an immunoenzymatic method using commercial kits for rats from Monobind, USA) were measured, glucose tolerance tests (GTT) were performed, the HOMA index and the insulin/corticosterone ratio were calculated. Results. The 6-week environmental space restriction, immobility and complex communication relations resulted in a hypoinsulinemic-hypoglycemic type of the glycemic curve with high tissue glucose sensitivity in animals which were in the conditions described (the HOMA index was significantly decreased to 0.21 versus 0.55 in the control), the characteristic delayed hyperglycemic peak at the 30th min of the test slowly returned to the euglycemic level by only the 90th min against the 30th min in the controls. The 15-week restriction caused a hypoinsulinemic curve with preserved tissue glucose sensitivity (the HOMA index 0.33 versus 0.55 in the controls). Alterations in postprandial glucose absorption were manifested by the highest glucose concentration at the 15th min of the test, a very slow decrease in the glucose level in the post-absorption period not being restored to baseline values by the 90th min. The 21-week restriction shaped a diabetic type of the glycemic curve, impaired tissue glucose sensitivity (a substantial and significant increase in the calculated HOMA index from 0.55 in the controls to 0.95) and resulted in the development of insulin resistance. Conclusions. The environmental space restriction, immobility and complex communication relations gradually induce a range of disorders in animals and change the glycemic response shape to glucose load, impair prandial insulin secretion, augment hyperglycemic effects of counterinsular hormones (corticosterone), and realize dysfunctional manifestations of prandial/postprandial glycemia. 6 weeks of restrictions and challenges shape the hypoinsulinemic-hypoglycemic type of the glycemic curve with high tissue glucose sensitivity, while 15 weeks result in the hypoinsulinemic curve with preserved tissue glucose sensitivity. 21 weeks show the diabetic type of the glycemic curve with impaired tissue glucose sensitivity and the development of insulin resistance.

A DESCRIPTIVE COMPARISON OF RESPONSE OF ORAL HYPOGLYCEMIC AGENTS AMONG T2DM IN A BACKDROP OF INSULIN RESISTANCE

Introduction:Different homeostatic models for the assessment of beta cell function in patients with insulin resistance in type 2 diabetes mellitus suggest that Dipeptidyl Peptidase (DPP-4) inhibitors cause less beta cell stress. Aims: The present study aimed to compare and contrast insulin resistance in two groups of patients taking oral hypoglycemic agents, DPP-4 plus metformin and glimepiride plus metformin, on the basis of fasting and postprandial c-peptide and insulin resistance estimated by homeostatic model assessment of insulin resistance (HOMA-IR). Methods: This preliminary descriptive observational study was conducted from 2018 to 2019 in the service Laboratory of the Department of Biochemistry, in collaboration with the Endocrinology Department, Nil Ratan Sircar Medical College and Hospital, Kolkata. Serum C-peptide, serum insulin, and plasma glucose levels were measured in both fasting and post-prandial states along with glycated hemoglobin. Result: In the fasting and fed state, the secretagogue effect of glimepiride-metformin combination was significantly higher (p = 0.017) than that of the linagliptin-metformin combination. Conclusion: Patients treated with glimepiride showed high post prandial insulin levels and high post prandial glucose excursion. This finding can be explained by the probable increase in insulin resistance, which is reflected in their post-prandial C peptide level. However, in the case of linagliptin, one mechanism of decreased post-prandial glucose is believed to be the inhibition of α-cell glucagon release, thereby relieving β-cell stress

Pharmacokinetics, pharmacodynamics, and safety of prandial oral insulin (N11005) in healthy subjects.

To verify whether the oral insulin N11005 is administered as a prandial insulin by assessing the pharmacokinetics (PK), pharmacodynamics (PD), and safety profiles of N11005 with a short-acting biosynthetic human insulin (Novolin R) as reference. This was a randomized, open-label, single-dose, crossover hyperinsulinemic-euglycemic clamp study in healthy Chinese male subjects. A total of 12 subjects were enrolled in the test (T) group (N11005, 300 IU, p.o.) and the reference (R) group (Novolin R, 0.1 IU/Kg, i.h.) with a washout period of 14 days. All subjects were administered on the same day of the clamp study. Glucose Infusion Rates (GIR), serum insulin, and C-peptide concentration were determined during every 8-hour clamp cycle. Trial registration: Clinicaltrials.gov identifier NCT04975022. After administration, the ratios of mean serum C-peptide concentration to baseline concentration in both T and R groups were lower than 50%, which confirmed the stability of the clamp platform. T group (N11005) showed a more rapid onset of action (tGIR10%max≈11 min) and a comparable duration of action to the R group, which was basically in line with the characteristics of prandial insulins. No adverse events (AEs) occurred throughout the study, which demonstrated that N11005 and Novolin R are safe and well-tolerated. The PD profiles of the single-dose N11005 in the human body are similar to those of prandial insulins, with an excellent safety profile. Clinicaltrials.gov, identifier NCT04975022.

A Challenge To Treat Hypoglycemia For The Diabetic Elderly Patient In Daily Clinical Practice

Background: Hypoglycemia is an acute complication that often occurs in daily clinical practice. The incidence of hypoglycemia is increased, one of which is by age factors and the use of insulin. &#x0D; Case Presentation: A 66-years old Indonesian woman with obesity (BMI=35.2 kg/m2) came to Emergency Department (ED) with decreased of consciousness due to a skipped meal after a prandial insulin injection with errors in calculating insulin dose. She had Diabetes Mellitus type 2 since 10 years ago and got insulin prescription since last year. The random blood sugar (RBG) was 27 mg/dl. Patient was administered intravenous D40% 75ml and the symptoms was improved. Patient was diagnosed this patient with severe hypoglycemia. During hospitalization, patient’s blood sugar had fluctuation in 2 days consecutive mornings and began to stable in day 3 on ward. When the patient discharged, we prescribed 24U basal insulin given before bed if the RBG level &gt;200mg/dl. &#x0D; Discussion: In older population, the neuroglycopenic symptoms, such as lethargy, dizziness, and delirium appear in higher BG level than the autonomic symptoms. The disproportion of demand and supply of blood glucose in the brain causes the neuroglycopenic symptoms. In addition, those signs are also likely to be misinterpreted as signs of stroke, dementia, or vision problems. This cycle of misidiagnosed and the tendency of neuroglypenic symptoms lead the older population into hypoglycemia unawareness. &#x0D; Conclusion: Hypoglycemia unawareness is one of the warning signs of the severity of Diabetes Mellitus type 2 caused by multiple factors which has high prevalence in the elderly. Therefore, particular management is needed in this population by selecting the suitable glucose-lowering agent considering individualized patient preferences rather than focusing on the glycemic target.