The Protective Effect of Quercetin against the Cytotoxicity Induced by Fumonisin B1 in Sertoli Cells.

Fumonisin B1 (FB1), a mycotoxin produced by Fusarium species, is prevalent in crops and animal feed, posing significant health risks to livestock and humans. FB1 induces oxidative stress in Sertoli cells, destroys testicular structure, and affects spermatogenesis. However, methods to mitigate the reproductive toxicity of FB1 in testes remain unknown. Quercetin, a natural flavonoid antioxidant, may offer protective benefits. This study investigated the protective effects and mechanisms of quercetin against FB1-induced reproductive toxicity in TM4 cells (a Sertoli cell line). The results indicated that 40 µM quercetin improved cell viability, reduced apoptosis, and preserved cell functions. Quercetin also decreased reactive oxygen species (ROS) levels in TM4 cells exposed to FB1, enhanced the expression of antioxidant genes, and improved mitochondrial membrane potential. Compared with FB1 alone, the combination of quercetin and FB1 increased ATP levels, as well as pyruvate and lactic acid, the key glycolysis products. Furthermore, this combination elevated the mRNA and protein expression of glycolysis-related genes, including glucose-6-phosphate isomerase 1 (Gpi1), hexokinase 2 (Hk2), aldolase (Aldoa), pyruvate kinase, muscle (Pkm), lactate dehydrogenase A (Ldha) and phosphofructokinase, liver, B-type (Pfkl). Quercetin also boosted the activity of PKM and LDHA, two crucial glycolytic enzymes. In summary, quercetin mitigates FB1-induced toxicity in TM4 cells by reducing ROS levels and enhancing glycolysis. This study offers new insights into preventing and treating FB1-induced toxic damage to the male reproductive system and highlights the potential application of quercetin.

Type 2 diabetes pharmacotherapy trends in high-risk subgroups.

Medication use trends among patients with type 2 diabetes from 2015 to 2019 were investigated in relation to the clinical group-specific recommendations from the 2018 American Diabetes Association (ADA)/European Association for the Study of Diabetes (EASD) consensus report. Data were drawn from a large health insurance claims database representing Commercial (total patient-year count: 2,379,704) and Medicare (total patient-year count: 845,823) insurance programmes (IBM® MarketScan®). The utilization of sodium-glucose co-transporter-2 inhibitors or glucagon-like peptide-1 receptor agonists increased over time but was lower in the Medicare cohort in every year evaluated. Patients diagnosed with obesity received recommended therapies at higher rates than those without obesity. Differences were more modest between those with versus without atherosclerotic cardiovascular disease (ASCVD) or chronic kidney disease, with greater treatment adoption in those without ASCVD in the Medicare cohort. Utilization of recommended treatments was paradoxically lower in those with versus without heart failure, and worse in the Medicare than in the Commercial cohort. Utilization of sulphonylureas was not different in those with versus without severe hypoglycaemia history. In conclusion, utilization of therapies recommended in the guidelines is increasing overall, which is not preferentially guided by ADA/EASD-defined clinical groups, and there exists a persistent gap in utilization between Commercial and Medicare populations.

GLUCAGON PRESCRIPTIONS FOR DIABETES PATIENTS AFTER EMERGENCY DEPARTMENT VISITS FOR HYPOGLYCEMIA.

OBJECTIVE: To determine the proportion of prescription fills for glucagon within 90 days of an emergency department (ED) visit for hypoglycemia. METHODS: This was a retrospective research study of glucagon prescriptions filled after an ED visit for hypoglycemia (from January 2011 to June 2014) by people with type 1 diabetes (T1D) or type 2 diabetes (T2D) taking insulin who did not already have an unexpired glucagon prescription within the Truven Health MarketScan® Research Database. RESULTS: Less than 10% (T1D: 10.9%; T2D: 3.5%) filled a glucagon prescription after the ED visit. CONCLUSION: A substantial opportunity exists to improve care for at-risk patients with diabetes through a more consistent provision of glucagon, perhaps through the implementation of a quality metric. ABBREVIATIONS: DM = diabetes mellitus; ED = emergency department; IQR = interquartile range; T1D = type 1 diabetes; T2D = type 2 diabetes.

Determination of glutathione in single HepG2 cells by capillary electrophoresis with reduced graphene oxide modified microelectrode.

Determination of intracellular bioactive species will afford beneficial information related to cell metabolism, signal transduction, cell function, and disease treatment. In this study, the electrochemically reduced graphene oxide modified carbon fiber microdisk electrode (ER-GOME) was used as a detector of CZE-electrochemical detection and developed to detect glutathione (GSH). The electrocatalytic activity of the modified microelectrode was characterized by cyclic voltammetry. Under optimized experimental conditions, the concentration linear range of GSH was from 1 to 60 µM. When the S/N ratio was 3, the concentration detection limit was 1 µM. Compared with the unmodified carbon fiber microdisk electrode, the sensitivity was enhanced more than five times. With the use of this method, the average contents of GSH in single HepG2 cells were found to be 7.13 ± 1.11 fmol (n = 10). Compared with gold/mercury amalgam microelectrode, which was usually used in determining GSH, the electrochemically reduced graphene oxide modified carbon fiber microdisk electrode was friendly to environment for free mercury. Furthermore, there were several merits of the novel electrochemical detector coupled with CE, such as comparative repeatability, easy fabrication, and high sensitivity, hold great potential for the single-cell assay.

Real-World Patterns of Basal Insulin Use with Other Diabetes Medications Among People with Type 2 Diabetes Between 2014 and 2020.

INTRODUCTION: Basal insulin's position in the type 2 diabetes (T2D) treatment paradigm has undergone significant revisions since the advent of diabetes medications such as glucagon-like peptide 1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter-2 inhibitors (SGLT-2is), which offer cardiorenal protection for people with T2D (PwT2D). This study aimed to characterize the demographic, clinical, and diabetes medication utilization patterns of PwT2D initiating basal insulin between 2014 and 2020 over the time period when these revisions were occurring. METHODS: A retrospective study was conducted using the IBM® MarketScan® databases and included adults with T2D who initiated basal insulin therapy (basal insulin initiators) in 2015, 2017, or 2019. Patient characteristics, medication utilization patterns, and time to add an additional diabetes drug class were compared across years. Characteristics of users of basal insulin-GLP-1RA combination therapy (GLP-1RA-basal insulin dual users) were also compared across years. RESULTS: Between 2015 and 2019, initiation of basal insulin therapy remained steady, with 1.6-1.9% of PwT2D starting basal insulin in each year. GLP-1RA and SGLT-2i use increased pre- and post-basal insulin initiation (pre-basal: GLP-1RA, from 14.8% to 25.2%, p < 0.0001; SGLT-2i, from 11.4% to 20.5%, p < 0.0001; post-basal: GLP-1RA, from 16.7% to 30.5%, p < 0.0001; SGLT-2i, from 13.4% to 23.3%, p < 0.0001]). The proportion of PwT2D with underlying cardiovascular and renal diseases did not increase during this period. Among basal insulin initiators without prior GLP-1RA, SGLT-2i, or bolus insulin use, time to adding on these agents decreased, with 14.0-15.6% starting bolus insulin within the first year. Among GLP-1RA-basal insulin dual initiators, the proportion of those with underlying cardiovascular disease was not higher among GLP-1RA first users. CONCLUSIONS: In this real-world study, insulin remained key in the T2D treatment paradigm. A growing proportion of PwT2D utilized GLP-1RAs and SGLT-2is before and after initiation of basal insulin therapy. At the same time, there was no increase in the proportion of those initiating basal insulin who had cardiorenal comorbidity profiles for which treatment guidelines have recommended the use of GLP-1RAs or SGLT-2is.

Predictors of insulin pump initiation among people with type 2 diabetes from a US claims database using machine learning.

OBJECTIVE: Insulin pump use is increasing among people with type 2 diabetes (T2D), albeit at a slower rate compared to people with type 1 diabetes (T1D). Factors associated with insulin pump initiation among people with T2D in the real-world are understudied. METHODS: This retrospective, nested case-control study aimed to identify predictors of insulin pump initiation among people with T2D in the United States (US). Adults with T2D who were new to bolus insulin use were identified from the IBM MarketScan Commercial database (2015-2020). Candidate variables of pump initiation were entered into conditional logistic regression (CLR) and penalized CLR models. RESULTS: Of the 32,104 eligible adults with T2D, 726 insulin pump initiators were identified and matched to 2,904 non-pump initiators using incidence density sampling. Consistent predictors of insulin pump initiation across the base case, sensitivity, and post hoc analyses included continuous glucose monitor (CGM) use, visiting an endocrinologist, acute metabolic complications, higher count of HbA1c tests, lower age, and fewer diabetes-related medication classes. CONCLUSIONS: Many of these predictors could represent a clinical indication for treatment intensification, greater patient engagement in diabetes management, or proactive management by healthcare providers. Improved understanding of predictors for pump initiation may lead to more targeted efforts to improve access and acceptance of insulin pumps among persons with T2D.

An Early Assessment of the Real-World Treatment Patterns of Type 2 Diabetes: A Comparison to the 2018 ADA/EASD Consensus Report Recommendations.

INTRODUCTION: Using the American Diabetes Association (ADA) Hyperglycemic Pharmacotherapy Guidelines for type 2 diabetes, we evaluated the medication use patterns in real-world patients with type 2 diabetes in the USA. METHODS: Health care claims among patients with type 2 diabetes were analyzed (IBM® MarketScan® 2007 to 2019 Commercial and Medicare Databases). Diabetes treatment patterns were evaluated for the total patient sample of 580,741 during the year 2019. Prior years' claims data were used to construct patient history and determine clinical groups per the 2018 ADA/EASD consensus statement: atherosclerotic cardiovascular disease (ASCVD), chronic kidney disease (CKD), heart failure (HF), hypoglycemia (hypo), and obesity. The recommended therapy use rates (RTUR) were calculated for clinical groups. Univariate chi-square tests were performed to compare RTUR within and outside clinical groups. Multivariate logistic regression was used to identify variables associated with recommended therapy use. RESULTS: A large proportion of patients belonged to multiple clinical groups; this was more common in the Medicare cohort. Each clinical group in the Commercial cohort had a substantially higher RTUR than in the Medicare cohort. However, no clinical group achieved > 40% RTUR. The RTUR was the highest in the CKD and obesity groups in the Commercial cohort and in the hypo and obesity groups in the Medicare cohort, but lowest in hypo and HF groups in the Commercial and Medicare cohorts, respectively. CONCLUSION: Prevalence of guideline-aligned treatment use in 2019 was low, particularly since many patients fit into multiple risk groups with established treatment benefits.

Health care resource utilization and cost of severe hypoglycemia treatment in insulin-treated patients with diabetes in the United States.

BACKGROUND: Hypoglycemia is a major limiting factor in achieving glycemic control in persons with diabetes. In some instances, recovery from a severe hypoglycemia event may require health care resource utilization (HCRU), including the use of emergency medical services (EMS), visits to the emergency department (ED), and inpatient hospitalization. OBJECTIVES: To (a) describe the profiles of patients who experience severe hypoglycemic events and (b) characterize HCRU and the associated cost related to severe hypoglycemia treatment. METHODS: This retrospective, observational cohort study used administrative claims data from IBM MarketScan Research Databases. The study examined a cohort of subjects who experienced severe hypoglycemic events that involved HCRU during the 1-year index period. Baseline patient demographic data were collected according to patient profiles, such as payer type, type of diabetes, age, and type of insulin. HCRU and the associated cost data categorized by the patient profiles and care progression scenarios were described. RESULTS: 9,563 patients from the IBM MarketScan Research Databases experienced a severe hypoglycemic event during the index period and were included in the study; approximately 75% of those patients did not experience a severe hypoglycemic event in the previous year. Of the 9,563 patients in the cohort, the largest patient profile (n = 1,767, 18.5%) consisted of those who were on Medicaid, had type 2 diabetes, and used basal/bolus or premixed-only insulins. Overall, more than 90% of the index severe hypoglycemic events involved visits to the ED. EMS claims in the 24 hours before the ED visit were found for half of the severe hypoglycemic events (51.5%). CONCLUSIONS: Differences in HCRU and the associated costs for the treatment of severe hypoglycemia were observed among patients based on insurance, diabetes, and insulin types. Clinicians need to be aware of these differences. Optimizing treatment of severe hypoglycemia, specifically EMS care, and examining patient profiles to develop targeted interventions could potentially provide benefits to patients and reduce cost and resource utilization. DISCLOSURES: This study was funded by Eli Lilly and Company. All authors are employees and shareholders of Eli Lilly and Company. The data presented here have been presented in poster form at AMCP Nexus 2020 Virtual, October 19-23, 2020; ADCES Virtual Conference 2020, August 13-16, 2020; and Virtual ISPOR 2020, May 18-20, 2020.

The Trend of High-Dose Insulin Usage Among Patients with Diabetes in the UK: A Retrospective Study.

INTRODUCTION: Many patients with diabetes may require high-dose insulin treatment to achieve target HbA1c level, but the prevalence, disease burden, and patient characteristics of the population remain unclear. We therefore investigated people with insulin-treated diabetes in the UK from 2009 to 2013, who were prescribed high daily doses (> 200 units/day). METHODS: A retrospective analysis was conducted using the UK primary care electronic dataset from the Clinical Practice Research Datalink (CPRD). Trends of demographics, insulin dose, clinical characteristics, and annualized incidence rate of the insulin initiators were analyzed. Patients with type 1 (T1D) or type 2 diabetes (T2D) and who were prescribed insulin between 2009 and 2013 were categorized into either a low- or high-dose insulin user group. Two-sample t test and chi-square test were used for comparison of continuous variables and categorical variables, respectively. A multivariable negative binomial regression analysis with (log) person time as an offset was used to assess the impact of different covariates on incidence of high-dose insulin initiation. RESULTS: Between 2009 and 2013, 19,631 patients with diabetes were treated with insulin (T1DM, 7620; T2DM, 12,011). In 2013, 415 high-dose insulin initiators were identified (T1DM, N = 170; T2DM, N = 245). More than half were male (T1DM/T2DM, 62.4%/56.3%) and 94.1%/83.7% of T1DM/T2DM patients were prescribed an insulin analogue at high-dose insulin initiation. At 6 months, 43.6% of T1DM and 42.6% of T2DM remained to have suboptimal HbA1c level of ≥ 8% (64 mmol/mol). Overall, 15.9%/63.3% of high-dose insulin initiators (HDII) with T1DM/T2DM took oral antidiabetics. From 2009 to 2013, the estimated glomerular filtration rate worsened in both T1DM and T2DM HDII. CONCLUSION: Despite a number of patients requiring high doses of insulin in the UK, achievement of optimal HbA1c levels remains poor. Early identification of HDII is important in order to plan for alternative/adjuvant antidiabetic and lifestyle strategies to achieve optimal glycemic targets in this patient group. FUNDING: Eli Lilly and Company.

Economic Impact of Treatment Duration and Persistence with Basal Insulin in Previously Insulin-Naive Users.

BACKGROUND: Although insulin is a well-established therapy that is associated with improved clinical outcomes, adherence and persistence with insulin regimens are poor in patients with type 2 diabetes mellitus (T2DM). Diabetes-related health care costs and the impact of insulin persistence patterns on these health care costs have been previously studied; however, these aspects of insulin therapy have limited data beyond the first year of use and have not been characterized among patients previously naive to basal insulin. OBJECTIVES: To (a) describe and compare medical- and pharmacy-related costs, health care resource utilization, and comorbidities and complications during the initial year and second (experienced) year of basal insulin therapy, and (b) describe and compare the impact of continuous versus interrupted basal insulin use during each year. METHODS: This was a retrospective observational database analysis using claims from multiple U.S. commercial health plans (Truven Health MarketScan) in previously insulin-naive patients with T2DM who were initiated on basal insulin. Data collected included all-cause and diabetes-related medical and pharmacy costs, health care resource utilization (i.e., number and type of outpatient visits, hospitalization, emergency department [ED] visits), medication use, and preselected comorbidities and complications. This cost analysis described and compared health care costs and resource use between the initial and experienced years and further compared health care costs and resource use between continuers and interrupters within each of those years. RESULTS: A total of 23,645 patients were included in the analysis; 12,224 were classified as continuers and 11,421 were classified as interrupters. Among all patients, mean increases from the initial year to the experienced year were observed for all-cause medical costs ($12,690-$13,408; P = 0.048), all-cause pharmacy costs ($6,253-$6,559; P < 0.001), and all-cause health care costs ($18,943-$19,967; P = 0.006), after adjusting for inflation. All-cause pharmacy costs were significantly higher for continuers versus interrupters, but total diabetes-related medical care costs, all-cause ED costs, and all-cause medical costs were significantly lower, resulting in similar all-cause health care costs between continuers and interrupters in both the initial and experienced years. Among all patients, diabetes-related inpatient visits and outpatient primary care physician (PCP) visits, total medical inpatient visits, and total medical outpatient PCP visits were significantly higher in the initial year than in the experienced year; however, there were fewer diabetes-related ED visits in the initial year. CONCLUSIONS: Initiation of basal insulin appears to be associated with increased health care costs, and treatment persistence pattern (continuers vs. interrupters) is further correlated with health care expenditures. Although associated with decreased pharmacy costs, interruption of therapy increases medical costs, underscoring the importance of addressing persistence to therapy. DISCLOSURES: This study was funded by Eli Lilly and Company and Boehringer Ingelheim. Eli Lilly reviewed and approved this manuscript for submission. All the authors are employees and minor shareholders of Eli Lilly and Company. Study concept and design were contributed by Kalirai, Duan, and Reed. Duan and Liu collected the data, and data interpretation was performed by Kalirai. The manuscript was written by all the authors and revised by Kalirai.

Treatment progression in sulfonylurea and dipeptidyl peptidase-4 inhibitor cohorts of type 2 diabetes patients on metformin.

BACKGROUND: Metformin is an oral antidiabetic drug (OAD) widely used as first-line therapy in type 2 diabetes (T2D) treatments. Numerous treatment pathways after metformin failure exist. It is important to understand how treatment choices influence subsequent therapy progressions. This retrospective study compares adherence to, persistence with, and treatment progression in sulfonylurea (SU) and dipeptidyl peptidase-4 (DPP-4) inhibitor patient cohorts with T2D on metformin. METHODS: Using health insurance claims data, matched patient cohorts were created and OAD use was compared in patients with T2D initiating SU or DPP-4 inhibitors (index drugs) since January 1, 2010, to December 31, 2010, with background metformin therapy. Propensity score matching adjusted for possible selection bias. Persistence was measured via Cox regression as days to a ≥60-day gap in index drug possession; adherence was defined as proportion of days covered (PDC) ≥80%. Evolving treatment patterns were traced at 6-month intervals for 24 months following index drug discontinuation. RESULTS: From among 19,621 and 7,484 patients in the SU and DPP-4 inhibitor cohorts, respectively, 6,758 patient pairs were matched. Persistence at 12 months in the SU cohort was 48.0% compared to 52.5% for the DPP-4 inhibitor cohort. PDC adherence (mean [SD]) during the 12-month follow-up period was 63.3 (29.7) for the SU cohort and 65.5 (28.7) for the DPP-4 inhibitor cohort. PDC ≥80% was 40.5% and 43.4% in the SU and DPP-4 inhibitor cohorts, respectively. A higher percentage of patients in the SU cohort remained untreated. Following index drug discontinuation, monotherapy was more common in the SU cohort, while use of two or three OADs was more common in the DPP-4 inhibitor cohort. Insulin therapy initiation was higher in the SU cohort. CONCLUSION: Slightly better adherence and persistence were seen in the DPP-4 inhibitor cohort. Adherence and persistence remain a challenge to many patients; understanding therapy progression will help identify target areas for intervention and improvement.