Diabetes-related distress, insulin dose, and age contribute to insulin-associated weight gain in patients with type 2 diabetes: results of a prospective study

Association between glucose-lowering drugs and circulating insulin antibodies induced by insulin therapy in patients with type 2 diabetes

BACKGROUND

Insulin antibodies (IAs) affect blood glucose control in patients receiving insulin therapy.

AIM

To investigate the relationship between different hypoglycemic treatments and IAs in patients with type 2 diabetes mellitus (T2DM).

METHODS

This cross-sectional, retrospective study included 1863 patients with T2DM who were receiving exogenous insulin therapy. All patients received stable antidiabetic therapy in the last 3 months and IA levels were measured using an iodine-125 array.

RESULTS

A total of 1863 patients were enrolled. There were 902 (48.4%) patients who had positive IAs (IA level > 5%), with a mean IA level of 11.06% (10.39%-11.72%). IA levels were positively correlated with high fasting blood glucose (odds ratio = 1.069, P < 0.001). The proportion of positive IAs was lowest in patients using glargine only (31.9%) and highest in patients using human insulin only (70.3%), P < 0.001. The IA levels in patients using sulfonylureas/glinides (8.3%), metformin (9.6%), and dipeptidyl peptidase-4 inhibitors (8.2%) were all lower than in patients without these drugs (all P < 0.05).

CONCLUSION

Nearly half of patients on insulin therapy have positive IA antibodies, and IA antibody levels are associated with blood glucose control. Insulin glargine and a combination of oral glucose-lowering drugs were correlated with lower IA levels.

Exploring metformin monotherapy response in Type-2 diabetes: Computational insights through clinical, genomic, and proteomic markers using machine learning algorithms

BACKGROUND

In 2016, the UK had 4.5 million people with diabetes, predominantly Type-2 Diabetes Mellitus (T2DM). The NHS allocates £10 billion (9% of its budget) to manage diabetes. Metformin is the primary treatment for T2DM, but 35% of patients don't benefit from it, leading to complications. This study aims to delve into metformin's efficacy using clinical, genomic, and proteomic data to uncover new biomarkers and build a Machine Learning predictor for early metformin response detection.

METHODS

Here we report analysis from a T2DM dataset of individuals prescribed metformin monotherapy from the Diastrat cohort recruited at the Altnagelvin Area Hospital, Northern Ireland.

RESULTS

In the clinical data analysis, comparing responders (those achieving HbA1c ≤ 48 mmol/mol) to non-responders (with HbA1c > 48 mmol/mol), we identified that creatinine levels and bodyweight were more negatively correlated with response than non-response. In genomic analysis, we identified statistically significant (p-value <0.05) variants rs6551649 (LPHN3), rs6551654 (LPHN3), rs4495065 (LPHN3) and rs7940817 (TRPC6) which appear to differentiate the responders and non-responders. In proteomic analysis, we identified 15 statistically significant (p-value <0.05, q-value <0.05) proteomic markers that differentiate controls, responders, non-responders and treatment groups, out of which the most significant were HAOX1, CCL17 and PAI that had fold change ∼2. A machine learning model was build; the best model predicted non-responders with 83% classification accuracy.

CONCLUSION

Further testing in prospective validation cohorts is required to determine the clinical utility of the proposed model.

Childhood Obesity, Diabetes. and Cardiovascular Disease Risk

This mini-review aims to briefly summarize the pathophysiology of childhood obesity, type 2 diabetes mellitus (T2DM), and cardiovascular disease (CVD) risk in children and adolescents. Recent data on efficacy of lifestyle interventions, medications, and metabolic surgery for obesity, T2DM, and CVD risk factors are also reviewed. We conducted a PubMed search of English-language original and review articles relevant to childhood obesity, T2DM, and CVD risk factors, and biomarkers in children with an emphasis on recent publications. Childhood obesity arises from an intricate interaction between genetic, physiologic, environmental, and socioeconomic factors. The rise in the prevalence of childhood obesity is associated with the development of comorbidities including T2DM and CVD at an early age. A multipronged approach is central to the detection, monitoring, and management of childhood obesity and associated adverse metabolic consequences.

The effect of metformin on cardiovascular markers in female mice consuming a high fat diet

BACKGROUND

Metformin, widely used to treat diabetes, is now considered a candidate therapeutic for treatment of cardiovascular disease. This study aimed to assess whether metformin's non-glycaemic effects could mitigate cardiovascular disease indices in female mice consuming a high fat diet (HFD).

METHODS

Four-week old female Arc:Arc(S) mice were placed on a standard (std) chow diet or Western-style HFD (22% fat, 0.15% cholesterol). At ∼8 months, the mice were administered 150 mg/kg metformin or vehicle (control) via intraperitoneal injection for 11 days. Blood pressure was measured (tail cuff plethysmography) at Day 9 and 11 of treatment. On Day 11, mice were weighed and culled. The mesenteric arcade and kidneys were collected for assessment of vascular reactivity (wire myography), and assessment of expression of cardiometabolic markers (qPCR), respectively.

RESULTS

The HFD fed female mice were significantly heavier than those receiving the std diet at 1-12 weeks on diet, and at cull. Mice on a std diet with metformin treatment were significantly heavier at cull than the mice on a std diet administered the control treatment. Metformin treatment did not alter the weight of the mice receiving the HFD. Neither the HFD (compared to the std diet), nor metformin treatment (compared to control treatment) altered blood pressure, vascular reactivity, or expression of cardiometabolic markers in the kidney.

CONCLUSION

Consumption of a Western-style HFD (without high salt/sugar levels) did not alter the cardiovascular markers measured. Further studies are required to establish the non-glycaemic, cardio-protective effects of metformin in high-risk cohorts.

The agreement between measured HbA1c and optimized target HbA1c based on the Dementia Assessment Sheet for Community-based Integrated Care System 8-items (DASC-8): A cross-sectional study of elderly patients with diabetes

AIM

To investigate the achievement of individualized target HbA1c based on the Japanese guideline after geriatric assessment with the Dementia Assessment Sheet for Community-based Integrated Care System 8-items (DASC-8) and to evaluate patient characteristics acting as barriers to achieving the target HbA1c in elderly outpatients with diabetes.

METHODS

This cross-sectional study enrolled 303 Japanese outpatients aged ≥65 years with diabetes. Their health status was measured using the DASC-8. The target HbA1c was optimized for each patient by the guideline based on the DASC-8 score and use of drugs potentially associated with severe hypoglycemia. Patient characteristics related to the agreement between measured HbA1c and target HbA1c were extracted by multivariate logistic regression analysis.

RESULTS

The mean age was 73.0 years and the mean body mass index (BMI) was 24.2 kg/m² . The agreement between measured HbA1c and target HbA1c was 43.9% (95% confidence interval: 38.4%-50.0%). In multivariate logistic regression analysis, the agreement in patients with drugs potentially associated with severe hypoglycemia was significantly lower than in those without these drugs (37.8% vs. 60.5%, P = 0.0004). In patients with these drugs, higher BMI (P = 0.0271) and higher fasting plasma glucose (P = 0.0034) were independent related factors for measured HbA1c being higher than target HbA1c. Vulnerable elderly patients (P = 0.0116) and not taking sodium glucose co-transporter-2 (SGLT2) inhibitor (P = 0.0186) were independent related factors for inappropriately lower HbA1c.

CONCLUSIONS

The agreement between measured HbA1c and target HbA1c was low in elderly patients with diabetes. Geriatr Gerontol Int 2022; ••: ••-••.

Pediatric growth patterns in youth-onset type 2 diabetes mellitus: Implications for physiologically-based pharmacokinetic models

An accurate understanding of the changes in height and weight of children with age is critical to the development of models predicting drug concentrations in children (i.e., physiologically‐based pharmacokinetic models). However, curves describing the growth of a typical population of children may not accurately characterize growth of children with various conditions, such as obesity. Therefore, to develop height and weight versus age growth curves for youth who were diagnosed with type 2 diabetes, we extracted data from electronic medical records. Robust nonlinear models were parameterized to the equations describing height and weight versus age as defined by the Centers for Disease Control and Prevention (CDC). CDC z‐scores were calculated using an internal program. The growth curves and z‐scores were compared to CDC norms. Youth with type 2 diabetes were increasingly heavier than CDC norms from early childhood. Except for a period around puberty, youth with type 2 diabetes were, on average, shorter than CDC norms, resulting in shorter average adult height. Deviations in growth were apparent in youth who develop type 2 diabetes; such deviations may be expected for other conditions as well, and disease‐specific growth curves should be considered during development of model‐informed drug development for pediatric conditions.

Not All Type-2-Diabetes Patients Increase Body Mass Index After Initiating Insulin: Results of Latent Class Analysis from the DPV Registry

Background: Is insulin initiation linked to increasing body mass index (BMI) in all patients with type-2-diabetes (T2D)? To determine distinct longitudinal patterns of BMI change over time. Materials and Methods: 5057 patients with T2D (55% males, median BMI [IQR]: 30.0 [26.9-33.3] kg/m²) aged ≥40 years at diabetes diagnosis and with ≥2 years of follow-up after insulin initiation irrespective of previous or concurrent use of metformin/dipeptidyl peptidase-4-inhibitor from the multicenter prospective diabetes registry DPV were studied. To identify subgroups following a similar pattern of BMI change after insulin initiation, longitudinal group-based trajectory modeling was applied. Multinomial logistic regression was then used to analyze covariates associated with group membership. Results: Three heterogeneous groups with either relevant BMI increase (delta-BMI: +4.0 kg/m² after 2 years; 12% of patients); slight BMI increase (+0.4 kg/m²; 80%); or BMI decrease (-3.2 kg/m²; 8%) were identified. Patients with older age [OR (95% CI): 1.37 (1.11-1.69)] and obesity [2.05 (1.65-2.55)] before insulin start were more often in the BMI decreasing group, and less often in the BMI increasing class [0.80 (0.67-0.95); 0.82 (0.69-0.98)]. A worse HbA1c both at insulin start and during follow-up [1.90 (1.60-2.26); 1.17 (1.07-1.27)], a higher insulin dose [1.67 (1.33-2.10)], and severe hypoglycemic events [2.38 (1.60-3.53)] after insulin initiation were all linked with higher odds of belonging to the BMI increasing trajectory. Conclusions: Patient heterogeneity with respect to weight gain after initiation of insulin therapy in adult T2D was detected by an objective computer algorithm. Older people with obesity should not defer from insulin use due to fear of weight gain.

Insulin Therapy Is Associated With an Increased Risk of Carotid Plaque in Type 2 Diabetes: A Real-World Study

Background: Controversies concerning the association between insulin therapy and atherosclerotic lesions in type 2 diabetes mellitus (T2DM) remain to exist. The purpose of this study was to investigate whether insulin therapy in T2DM patients is linked with the increased risk of carotid atherosclerosis in real-world settings. Methods: We retrospectively enrolled 2,356 hospitalized patients with T2DM, including 1,716 subjects receiving insulin therapy and 640 subjects without receiving insulin therapy. Carotid atherosclerotic lesions including carotid intima-media thickness (CIMT), carotid plaque and carotid stenosis were assessed by Doppler ultrasonography and were compared between T2DM patients treated with and without insulin. Results: After adjusting for age and duration of diabetes, there was a significant increase in the prevalence of carotid plaque in both men (52.0 vs. 41.7%, p = 0.007) and women (49.6 vs. 39.7%, p = 0.003) receiving insulin therapy than in those without receiving insulin therapy. After further controlling for other confounding factors, compared with the patients without receiving insulin therapy, the risk of carotid plaque was still significantly increased not only in women treated with insulin (OR: 1.810; 95% CI: 1.155-2.837, p = 0.010), but also in men treated with insulin (OR: 1.867; 95% CI: 1.307-2.666; p = 0.001). Additionally, HOMA2-B% was higher in both women and men without receiving insulin therapy compared with those receiving insulin therapy (p < 0.001 in both men and women), but HOMA-IR was significantly higher in patients treated with insulin than in those without receiving insulin therapy (p < 0.001 in both men and women). Conclusions: Insulin therapy is associated with markedly increased risk of carotid atherosclerotic lesions in type 2 diabetes, which partly attribute to the more serious insulin resistance in T2DM patients receiving insulin therapy.

Recent Advances in Insulin Therapy

Insulin therapy has advanced remarkably over the past few decades. Ultra-rapid-acting and ultra-long-acting insulin analogs are now commercially available. Many additional insulin formulations are in development. This review outlines recent advances in insulin therapy and novel therapies in development.

Clinical implications, diagnosis, and management of diabetes in patients with chronic liver diseases

Diabetes mellitus (DM) negatively affects the development and progression of chronic liver diseases (CLD) of various etiologies. Concurrent DM and CLD are also associated with worse clinical outcomes with respect to mortality, the occurrence of hepatic decompensation, and the development of hepatocellular carcinoma (HCC). Unfortunately, early diagnosis and optimal treatment of DM can be challenging, due to the lack of established clinical guidelines as well as the medical complexity of this patient population. We conducted an exploratory review of relevant literature to provide an up-to-date review for internists and hepatologists caring for this patient population. We reviewed the epidemiological and pathophysiological associations between DM and CLD, the impact of insulin resistance on the progression and manifestations of CLD, the pathogenesis of hepatogenic diabetes, as well as the practical challenges in diagnosis and monitoring of DM in this patient population. We also reviewed the latest clinical evidence on various pharmacological antihyperglycemic therapies with an emphasis on liver disease-related clinical outcomes. Finally, we proposed an algorithm for managing DM in patients with CLD and discussed the clinical and research questions that remain to be addressed.

Insulin treatment of patients with gestational diabetes: does dosage play a role?

Background and objective: In nonpregnant patients high insulin requirements are associated with hypoglycemia and weight gain but not with improvement in glucose control. The effect of insulin requirement on maternal and neonatal outcomes in gestational diabetes mellitus (GDM) is yet unknown.Methods: We conducted a retrospective cohort study of maternal and neonatal outcomes of pregnancy according to insulin requirements in women with GDM who were followed and delivered at the Yitzhak Shamir Medical Center between 2006 and 2016. The daily insulin dose in units per body weight was divided into quartiles and analyses were performed to compare the lowest, highest, and two middle quartiles. The primary outcome was a composite of any of the following: cesarean-section (CS), preeclampsia, macrosomia and large for gestational age (LGA) birth weight, neonatal intensive care unit admission, need for phototherapy, and neonatal hypoglycemia.Results: Women were divided according to their insulin requirements as follows: 79 (24.8%) women who needed <0.13 IU/kg/day of insulin (insulin-sensitive group), 160 (50%) women who needed 0.14-0.42 IU/kg/day of insulin (comparison-group), and the rest who needed >0.43 IU/kg/day of insulin (insulin resistant group). There were no differences in the composite outcome between the groups (64.6, 61.3, and 69.6% for the insulin sensitive-, comparison- and resistant- groups, respectively, p = .44). Women in the insulin-resistant group had higher fasting glucose levels in the first trimester (91, 98 and 102 mg/dL for women in the insulin sensitive-, comparison- and insulin-resistant groups, respectively; p = .01). Women in the insulin-sensitive group had significantly better glycemic control (fasting glucose levels ≤90 mg/dL and 1-hour and 2-hour postprandial glucose levels ≤140 mg/dL and ≤120 mg/dL for more than 80% of measurements) than those in the insulin-resistant group (70.3 versus 29.9%; p < .001). The rate of CS was significantly higher in the insulin-resistant group (42.3 versus 24.1%; p = .03), but the rate of LGA birth weight was surprisingly higher in the insulin-sensitive group (29.5 versus 16.7%, p = .04). After controlling for confounders, women in the insulin-sensitive group had a decreased risk for CS in relation to the comparison group (OR = 0.46, 95%CI 0.23-0.9, p = .025).Conclusion: We found no association between insulin requirements and adverse composite outcome in women with GDM. However, those with higher insulin requirements have poorer glucose control and higher rates of CS than those with lower insulin requirements. Larger studies are needed to inquire short- and long-term outcomes of insulin requirements on fetal and maternal outcomes.

Body weight course in the DIAbetes and LifEstyle Cohort Twente (DIALECT-1)-A 20-year observational study

Background

Although weight gain increases risk of type 2 diabetes, real-life data on the weight course in patients with established type 2 diabetes are scarce. We assessed weight course in a real-life diabetes secondary care setting and analyzed its association with patient characteristics, lifestyle habits and initiation of insulin, glucagon like peptide-1 receptor agonists (GLP-1 RA) and sodium-glucose co-transporter-2 inhibitors (SGLT-2i).

Methods

Data on weight, insulin, GLP-1 RA and SGLT-2i use were collected retrospectively (12 years) and prospectively (8 years) from patients included in the DIAbetes and LifEstyle Cohort Twente-1 (DIALECT-1, n = 450, age 63 ± 9 years, 58% men, diabetes duration [7–18] years). Lifestyle habits were assessed using validated questionnaires. The association of clinical parameters with body mass index (BMI) course was determined using linear mixed models. Patients who underwent bariatric surgery (n = 19) had a distinct BMI course and were excluded from the study.

Results

Baseline BMI was 31.3 (0.3) and was higher in women, patients aged <60 years and patients with unfavorable lifestyle habits. BMI increased to 32.5 (0.3) after 12 years (P<0.001), and thereafter decreased to 31.5 (0.3) after 20 years, resulting in a similar BMI as the baseline BMI (P = 0.96, compared to baseline). Clinical parameters or initiation of insulin or SGLT-2i were not associated with BMI course. Patients who initiated GLP-1 RA declined in BMI compared to non-users (P_interaction = 0.003).

Conclusions

High BMI that real-life patients with type 2 diabetes gained earlier in life, remained stable in the following decades. Weight loss interventions should remain a priority, and GLP-1 RA might be considered to support weight loss.

When basal insulin is not enough: A dose-response relationship between insulin glargine 100 units/mL and glycaemic control

AIMS

A post-hoc analysis to assess the impact in people with type 2 diabetes, of increasing doses of basal insulin on glycaemic measures, body weight and hypoglycaemia.

RESEARCH DESIGN AND METHODS

We included data from prospective, randomized controlled treat-to-target trials of ≥24 weeks' duration in people with type 2 diabetes, uncontrolled on metformin and sulphonylureas, and treated with insulin glargine 100 units/mL (U100), who had at least six fasting plasma glucose (FPG) measurements. The impact of insulin dose on glycated haemoglobin (HbA1c) values, FPG, hypoglycaemia incidence (<3.9 mmol/L [70 mg/dL]), and body weight was analysed. A total of 458 participants from three eligible trials were included.

RESULTS

The observed relationship between higher basal insulin doses and glycaemic control was non-linear, with increasing insulin dose leading to smaller reductions in FPG and HbA1c for doses >0.3 IU/kg/d, with a plateauing effect at 0.5 IU/kg/d. Total daily dose of insulin >0.5 IU/kg/d resulted in greater weight gain, but without higher rates of hypoglycaemia, compared with insulin doses ≤0.5 IU/kg/d.

CONCLUSIONS

This analysis indicates that basal insulin doses >0.5 IU/kg/d have diminishing additional impact on improving glycaemic measures, with the disadvantage of additional weight gain. Clinicians should consider anti-hyperglycaemic treatment intensification at doses approaching 0.5 IU/kg/d.

Cost-effectiveness of intensification with sodium-glucose co-transporter-2 inhibitors in patients with type 2 diabetes on metformin and sitagliptin vs direct intensification with insulin in the United Kingdom

AIM

To evaluate the long-term cost-effectiveness of an intensification strategy with sodium-glucose co-transporter-2 (SGLT2) inhibitors (pathway 1) compared with NPH insulin (pathway 2) in patients with type 2 diabetes (T2D) in the United Kingdom who were not at goal on metformin and sitagliptin.

METHODS

Cost-effectiveness analysis was performed using the well-established, validated IQVIA CORE Diabetes Model from the payer perspective over a patient's lifetime. Randomized clinical trials informed treatment effect measures, while public or published sources informed economic inputs. Scenario analyses of glycated haemoglobin (HbA1c), hypoglycaemia rate, body mass index effects, SGLT2 inhibitor cardiovascular protective effects, and population characteristics were conducted to assess the robustness of results.

RESULTS

Pathway 1 increased life-years and quality-adjusted life-years (QALYs) compared with pathway 2 (13.49 vs. 13.37, and 9.40 vs. 9.22, respectively). Additional drug costs in pathway 1 were offset by diabetes-related complication decreases, leading to slightly lower direct medical costs for pathway 1 (£25747 vs £26095). Pathway 1 was therefore cost-neutral (no interpretable incremental cost-effectiveness ratio), while improving clinical outcomes. Scenario analyses consistently showed cost-neutrality or cost-effectiveness of pathway 1. The highest result remained less than £3000/QALY, reflecting older patients (≥65 years) with lower baseline HbA1c (7%).

CONCLUSIONS

For UK patients with T2D not at goal on metformin and sitagliptin therapy, treatment intensification with SGLT2 inhibitors prior to NPH insulin is cost-neutral or cost-effective compared with immediate NPH insulin intensification.

Real-life glycemic control in patients with type 2 diabetes treated with insulin therapy: A prospective, longitudinal cohort study (Diabetes Distress and Care Registry at Tenri [DDCRT 9])

AIMS/INTRODUCTION

We investigated the association between four insulin regimens, and increase in glycated hemoglobin (HbA1c) and insulin dose in a real-life clinical setting because there are no data about them among insulin regimens.

MATERIALS AND METHODS

Participants included 757 patients with type 2 diabetes having been treated with insulin therapy for more than 1 year. The four insulin regimens were regimen 1 (long-acting insulin, once daily), regimen 2 (biphasic insulin, twice daily), regimen 3 (biphasic insulin, three times daily) and regimen 4 (basal-bolus therapy). Main outcomes were increases in HbA1c levels >0.5% and increases in daily insulin units after 1 year. We carried out multivariable analyses to examine differences in glycemic control and insulin dose with adjustment for possible confounders.

RESULTS

Mean HbA1c level and duration of insulin therapy were 7.8% and 11.3 years, respectively. HbA1c levels increased by >0.5% at follow up in 22.8, 24.9, 20.7, and 29.3% of participants using regimen 1, 2, 3 and 4, respectively, with no significant differences between groups. Daily insulin doses increased in 62.3, 68.8, 65.3 and 38.6% of patients, respectively (P < 0.001). Multivariable regression analysis showed that patients who received regimen 4 had significantly lower odds of requiring future insulin dose increases than those who had received regimen 2 (adjusted odds ratio 0.24, 95% confidence interval 0.14-0.41; P < 0.001).

CONCLUSIONS

Many patients receiving insulin therapy showed increases in HbA1c levels and insulin doses 1 year later. The smallest increase in insulin dose was observed in the basal-bolus therapy group compared with other regimens.

Insulin-associated weight gain in obese type 2 diabetes mellitus patients: What can be done?

Insulin therapy (IT) is initiated for patients with type 2 diabetes mellitus when glycaemic targets are not met with diet and other hypoglycaemic agents. The initiation of IT improves glycaemic control and reduces the risk of microvascular complications. There is, however, an associated weight gain following IT, which may adversely affect diabetic and cardiovascular morbidity and mortality. A 3 to 9 kg insulin-associated weight gain (IAWG) is reported to occur in the first year of initiating IT, predominantly caused by adipose tissue. The potential causes for this weight gain include an increase in energy intake linked to a fear of hypoglycaemia, a reduction in glycosuria, catch-up weight, and central effects on weight and appetite regulation. Patients with type 2 diabetes who are receiving IT often have multiple co-morbidities, including obesity, that are exacerbated by weight gain, making the management of their diabetes and obesity challenging. There are several treatment strategies for patients with type 2 diabetes, who require IT, that attenuate weight gain, help improve glycaemic control, and help promote body weight homeostasis. This review addresses the effects of insulin initiation and intensification on IAWG, and explores its potential underlying mechanisms, the predictors for this weight gain, and the available treatment options for managing and limiting weight gain.

Weight effects of antidiabetic agents

Obesity and diabetes are on the rise, which remains a continuous health concern worldwide. It is important to consider weight effects of antidiabetic agents prior to initiation as different antidiabetic agents impact weight differently. Areas covered: New agents to treat diabetes, glucagon-like peptide-1 receptor agonists and sodium glucose cotransporter 2 inhibitors, have emerged over recent years that have been shown to result in weight reduction. Unfortunately, other antidiabetic medications used can cause weight gain such as with insulin, sulfonylureas, and thiazolidediones while some remain weight neutral (metformin and dipeptidyl peptidase-4 inhibitors). The weight effects of these antidiabetic medications described are from select relevant guidelines, clinical trials, reviews, and meta-analysis found through PubMed and Ovid databases up to July 2017. Expert commentary: This article summarizes the current evidence available on the weight effects of these agents in patients with diabetes. Evaluating potential risks, such as weight gain, with potential benefits, such as improvement in glycemic control, will help with designing optimal therapeutic diabetes regimens.

SUCNR1-mediated chemotaxis of macrophages aggravates obesity-induced inflammation and diabetes

AIMS/HYPOTHESIS

Obesity induces macrophages to drive inflammation in adipose tissue, a crucial step towards the development of type 2 diabetes. The tricarboxylic acid (TCA) cycle intermediate succinate is released from cells under metabolic stress and has recently emerged as a metabolic signal induced by proinflammatory stimuli. We therefore investigated whether succinate receptor 1 (SUCNR1) could play a role in the development of adipose tissue inflammation and type 2 diabetes.

METHODS

Succinate levels were determined in human plasma samples from individuals with type 2 diabetes and non-diabetic participants. Succinate release from adipose tissue explants was studied. Sucnr1 ^-/- and wild-type (WT) littermate mice were fed a high-fat diet (HFD) or low-fat diet (LFD) for 16 weeks. Serum metabolic variables, adipose tissue inflammation, macrophage migration and glucose tolerance were determined.

RESULTS

We show that hypoxia and hyperglycaemia independently drive the release of succinate from mouse adipose tissue (17-fold and up to 18-fold, respectively) and that plasma levels of succinate were higher in participants with type 2 diabetes compared with non-diabetic individuals (+53%; p < 0.01). Sucnr1 ^-/- mice had significantly reduced numbers of macrophages (0.56 ± 0.07 vs 0.92 ± 0.15 F4/80 cells/adipocytes, p < 0.05) and crown-like structures (0.06 ± 0.02 vs 0.14 ± 0.02, CLS/adipocytes p < 0.01) in adipose tissue and significantly improved glucose tolerance (p < 0.001) compared with WT mice fed an HFD, despite similarly increased body weights. Consistently, macrophages from Sucnr1 ^-/- mice showed reduced chemotaxis towards medium collected from apoptotic and hypoxic adipocytes (-59%; p < 0.05).

CONCLUSIONS/INTERPRETATION

Our results reveal that activation of SUCNR1 in macrophages is important for both infiltration and inflammation of adipose tissue in obesity, and suggest that SUCNR1 is a promising therapeutic target in obesity-induced type 2 diabetes.

DATA AVAILABILITY

The dataset generated and analysed during the current study is available in GEO with the accession number GSE64104, www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE64104 .

Novel oral glucose-lowering drugs are associated with lower risk of all-cause mortality, cardiovascular events and severe hypoglycaemia compared with insulin in patients with type 2 diabetes

AIMS

To investigate the association of novel oral glucose-lowering drugs (GLDs), compared with that of insulin, with risk of all-cause mortality, cardiovascular disease (CVD) and severe hypoglycaemia.

METHODS

During 2013 to 2014 all patients with type 2 diabetes in Sweden identified as new users of novel oral GLDs, either dipeptidyl peptidase-4 (DPP-4) inhibitors or sodium-glucose cotransporter-2 (SGLT2) inhibitors (only dapagliflozin available in Sweden during the study period), with those initiating insulin as a comparison group, in the Prescribed Drug Register were included and followed in the Patient and Cause of Death Registers. The novel GLD group and insulin group were matched 1:1 using propensity score. Cox regression models were used to estimate risks.

RESULTS

Of 37 603 patients, 21 758 were matched 1:1 to novel GLD vs insulin groups, with median follow-up times of 1.51 years (16 304 patient-years) and 1.53 years (16 306 patient-years), respectively. Treatment with novel GLDs was associated with a 44% (hazard ratio [HR] 0.56 [95% confidence interval {CI} 0.49-0.64]), 15% (HR 0.85 [95% CI 0.73-0.99]) and 74% (0.26 [95% CI 0.12-0.57]) lower risk of all-cause mortality, CVD and hypoglycaemia, respectively, compared with insulin treatment. In separate analyses for the two novel GLDs, dapagliflozin was associated with lower risks of all-cause mortality and CVD (56% [HR 0.44, 95% CI 0.28-0.70] and 49% [HR 0.51, 95% CI 0.30-0.86], respectively), while DPP-4 inhibitor treatment was associated with lower risk of all-cause mortality (41% [HR 0.59, 95% CI 0.51-0.67]), but not with CVD (HR 0.87, 95% CI 0.75-1.01).

CONCLUSIONS

Novel oral GLD treatment was associated with lower risk of all-cause mortality, CVD and severe hypoglycaemia compared with insulin treatment. Dapagliflozin was associated with a lower risk of both all-cause mortality and CVD, whereas DPP-4 inhibitor treatment was only associated with lower risk of all-cause mortality.

A prospective evaluation of clinical and genetic predictors of weight changes in breast cancer survivors

BACKGROUND

Postdiagnosis weight gain in patients with breast cancer has been associated with increased cancer recurrence and mortality. This study was designed to identify risk factors for weight gain and create a predictive model to identify a high-risk population for targeted interventions.

METHODS

The weight of 393 patients with breast cancer from the Northwestern Robert H. Lurie Cancer Center was measured over a 2-year period from diagnosis, with body mass index (BMI) change over 18 months as the primary endpoint. Demographics, clinical factors, treatment methods, as well as tumor characteristics were also recorded; and a lifestyle questionnaire was conducted. Blood samples were genotyped for 16 single nucleotide polymorphisms in FTO, adiponectin pathway genes (ADIPOQ, ADIPOR1), and FNDC5. Serum leptin, adiponectin, and irisin levels also were measured.

RESULTS

Mean ± standard deviation 18-month BMI changes were 0.68 ± 1.42, 0.98 ± 1.62, 0.79 ± 1.74, and -0.44 ± 1.58 kg/m² for patients ages <40, 40 to 49, 50 to 59, and ≥60 years, respectively. The optimal multivariable model for 18-month BMI change contained the predictors age, height, and endocrine therapy, but only age was statistically significant, with a 0.04 kg/m² increase in 18-month BMI change per younger year of age. Single nucleotide polymorphisms in ADIPOR1, FTO, and FNDC5 were associated with 18-month BMI change, and the first 2 remained significant after adjusting for the optimal clinical model (all P < .05).

CONCLUSIONS

Women age 60 years and younger at the time of breast cancer diagnosis who have an obesity genetic risk model are at increased risk for weight gain after treatment and should be targeted for weight-maintenance interventions. Cancer 2017;123:2413-21. © 2017 American Cancer Society.

Durable efficacy of liraglutide in patients with type 2 diabetes and pronounced insulin-associated weight gain: 52-week results from the Effect of Liraglutide on insulin-associated wEight GAiN in patients with Type 2 diabetes' (ELEGANT) randomized controlled trial

BACKGROUND

Pronounced weight gain frequently complicates insulin therapy in patients with type 2 diabetes (T2DM). We have previously reported that addition of liraglutide for 26 weeks can reverse insulin-associated weight gain, decrease insulin dose and improve glycaemic control, as compared with continuation of standard insulin treatment.

OBJECTIVES

To investigate whether the beneficial effects of liraglutide are sustained up to 52 weeks and whether similar effects could be obtained when liraglutide is added 6 months later.

METHODS

Adult T2DM patients with ≥ 4% weight gain within 16 months of insulin therapy completing the first 26-week trial period of open-label addition of liraglutide 1.8 mg day(-1) (n = 26) versus continuation of standard insulin therapy (n = 24) were all treated with liraglutide for another 26 weeks. Results were analysed according to the intention-to-treat principle.

RESULTS

Overall, 24 (92%) and 18 (75%) patients originally assigned to liraglutide and standard therapy, respectively, completed the study. Addition of liraglutide decreased body weight to a similar extend when given in the first 26 weeks (liraglutide group) or second 26 weeks (original standard therapy group): -4.4 vs. -4.3 kg (difference -0.32 kg, 95% confidence interval -2.2 to 1.6 kg; P = 0.74). Similar results were also seen in the two groups with regard to decrease in haemoglobin A1c (HbA1c ) (-0.77 vs. -0.66%; P = 0.23) and insulin dose (-28 vs. -26 U day(-1) ; P = 0.32). In both groups, 22% of patients could discontinue insulin. Continuation of liraglutide until 52 weeks led to sustained effects on body weight, HbA1c and insulin-dose requirements.

CONCLUSION

In T2DM patients with pronounced insulin-associated weight gain, addition of liraglutide within 2 years leads to sustained reversal of body weight, improved glycaemic control and decrease in insulin dose. Thus, liraglutide offers a valuable therapeutic option.

Diet-Related Knowledge and Physical Activity in a Large Cohort of Insulin-Treated Type 2 Diabetes Patients: PROGENS ARENA Study

There is no doubt that behavioral intervention is crucial for type 2 diabetes mellitus (T2DM) prevention and management. We aimed to estimate dietary habits and diet-oriented knowledge as well as the level of physical activity in 2500 insulin-treated Polish type 2 diabetes mellitus (T2DM) patients (55.4% women). The mean age of the study participants was 64.9 ± 9.3 years, mean BMI was 31.4 kg/m² ± 4.5, mean diabetes duration was 12.4 ± 6.9 years, and mean baseline HbA1c was 8.5%  ± 1.2. At the study onset, all the patients completed a questionnaire concerning health-oriented behavior. Results showed a significant lack of diet-related knowledge. For example, only 37.5% recognized that buckwheat contains carbohydrates; the percentage of correct answers in questions about fruit drinks and pasta was 56.4% and 61.2%, respectively. As for the physical activity, only 57.4% of examined T2DM patients declared any form of deliberate physical activity. To conclude, the cohort of poorly controlled insulin-treated T2DM patients studied by us is characterized by insufficient diet-related knowledge and by a very low level of physical activity. Further studies on other populations of insulin-treated T2DM patients are required to confirm these findings.

Sodium-glucose cotransporter 2 inhibitors with insulin in type 2 diabetes: Clinical perspectives

The treatment of type 2 diabetes is a challenging problem. Most subjects with type 2 diabetes have progression of beta cell failure necessitating the addition of multiple antidiabetic agents and eventually use of insulin. Intensification of insulin leads to weight gain and increased risk of hypoglycemia. Sodium-glucose cotransporter 2 (SGLT2) inhibitors are a class of antihyperglycemic agents which act by blocking the SGLT2 in the proximal tubule of the kidney. They have potential benefits in terms of weight loss and reduction of blood pressure in addition to improvements in glycemic control. Further, one of the SGLT2 inhibitors, empagliflozin has proven benefits in reducing adverse cardiovascular (CV) outcomes in a CV outcome trial. Adding SGLT2 inhibitors to insulin in subjects with type 2 diabetes produced favorable effects on glycemic control without the weight gain and hypoglycemic risks associated with insulin therapy. The general risks of increased genital mycotic infections, urinary tract infections, volume, and osmosis-related adverse effects in these subjects were similar to the pooled data of individual SGLT2 inhibitors. There are subsets of subjects with type 2 diabetes who may have insulin deficiency, beta cell autoimmunity, or is prone to diabetic ketoacidosis. In these subjects, SGLT2 inhibitors should be used with caution to prevent the rare risks of ketoacidosis.

Toward Big Data Analytics: Review of Predictive Models in Management of Diabetes and Its Complications

Diabetes is one of the top priorities in medical science and health care management, and an abundance of data and information is available on these patients. Whether data stem from statistical models or complex pattern recognition models, they may be fused into predictive models that combine patient information and prognostic outcome results. Such knowledge could be used in clinical decision support, disease surveillance, and public health management to improve patient care. Our aim was to review the literature and give an introduction to predictive models in screening for and the management of prevalent short- and long-term complications in diabetes. Predictive models have been developed for management of diabetes and its complications, and the number of publications on such models has been growing over the past decade. Often multiple logistic or a similar linear regression is used for prediction model development, possibly owing to its transparent functionality. Ultimately, for prediction models to prove useful, they must demonstrate impact, namely, their use must generate better patient outcomes. Although extensive effort has been put in to building these predictive models, there is a remarkable scarcity of impact studies.

Clinical Effects of Liraglutide in a Real-World Setting in Spain: eDiabetes-Monitor SEEN Diabetes Mellitus Working Group Study

INTRODUCTION

A limitation with randomized controlled trials is that, while they provide unbiased evidence of the efficacy of interventions, they do so under unreal conditions and in a very limited and highly selected patient population. Our aim was to provide data about the effectiveness of liraglutide treatment in a real-world and clinical practice setting.

METHODS

In a retrospective and observational study, data from 753 patients with type 2 diabetes were recorded through an online tool (eDiabetes-Monitor).

RESULTS

Mean baseline glycated hemoglobin (HbA1c) was 8.4 ± 1.4% and mean body mass index (BMI) was 38.6 ± 5.4 kg/m(2). After 3-6 months of treatment with liraglutide, we observed a change in HbA1c of -1.1 ± 1.2%, -4.6 ± 5.3 kg in weight and -1.7 ± 2.0 kg/m(2) in BMI (p < 0.001 for all). Compared to baseline, there was a significant reduction in systolic blood pressure (-5.9 mmHg, p < 0.001), diastolic blood pressure (-3.2 mmHg, p < 0.001), LDL cholesterol (-0.189 mmol/l, p < 0.001) and triglycerides (-0.09 mmol/l, p = 0.021). In patients switched from DPP-4 inhibitors, liraglutide induced a decrease of -1.0% in HbA1c (p < 0.001) and a reduction in weight (-4.5 kg, p < 0.001). In patients treated with liraglutide as an add-on therapy to insulin a decrease of -1.08% in HbA1c (p < 0.001) and a weight reduction of -4.15 kg (p < 0.001) were observed.

CONCLUSION

Our study confirms the effectiveness of liraglutide in a real-life and clinical practice setting.

FUNDING

Spanish Society of Endocrinology and Nutrition.