Combination of insulin and metformin in the treatment of type 2 diabetes

Metformin Use in the First Trimester of Pregnancy and Risk for Nonlive Birth and Congenital Malformations: Emulating a Target Trial Using Real-World Data

BACKGROUND

Metformin is a first-line pharmacotherapy for type 2 diabetes, but there is limited evidence about its safety in early pregnancy.

OBJECTIVE

To evaluate the teratogenicity of metformin use in the first trimester of pregnancy.

DESIGN

In an observational cohort of pregnant women with pregestational type 2 diabetes receiving metformin monotherapy before the last menstrual period (LMP), a target trial with 2 treatment strategies was emulated: insulin monotherapy (discontinue metformin treatment and initiate insulin within 90 days of LMP) or insulin plus metformin (continue metformin and initiate insulin within 90 days of LMP).

SETTING

U.S. Medicaid health care administration database (2000 to 2018).

PARTICIPANTS

12 489 pregnant women who met the eligibility criteria.

MEASUREMENTS

The risk and risk ratio of nonlive births, live births with congenital malformations, and congenital malformations among live births were estimated using standardization to adjust for covariates.

RESULTS

A total of 850 women were in the insulin monotherapy group and 1557 in the insulin plus metformin group. The estimated risk for nonlive birth was 32.7% under insulin monotherapy (reference) and 34.3% under insulin plus metformin (risk ratio, 1.02 [95% CI, 1.01 to 1.04]). The estimated risk for live birth with congenital malformations was 8.0% (CI, 5.7% to 10.2%) under insulin monotherapy and 5.7% (CI, 4.5% to 7.3%) under insulin plus metformin (risk ratio, 0.72 [CI, 0.51 to 1.09]).

LIMITATION

Possible residual confounding by glycemic control and body mass index.

CONCLUSION

Compared with switching to insulin monotherapy, continuing metformin and adding insulin in early pregnancy resulted in little to no increased risk for nonlive birth among women receiving metformin before pregnancy. Under conventional statistical criteria, anything between a 49% decrease and a 9% increase in risk for congenital malformations was highly compatible with our data.

PRIMARY FUNDING SOURCE

National Institutes of Health.

Metformin in therapeutic applications in human diseases: its mechanism of action and clinical study

Metformin, a biguanide drug, is the most commonly used first-line medication for type 2 diabetes mellites due to its outstanding glucose-lowering ability. After oral administration of 1 g, metformin peaked plasma concentration of approximately 20-30 μM in 3 h, and then it mainly accumulated in the gastrointestinal tract, liver and kidney. Substantial studies have indicated that metformin exerts its beneficial or deleterious effect by multiple mechanisms, apart from AMPK-dependent mechanism, also including several AMPK-independent mechanisms, such as restoring of redox balance, affecting mitochondrial function, modulating gut microbiome and regulating several other signals, such as FBP1, PP2A, FGF21, SIRT1 and mTOR. On the basis of these multiple mechanisms, researchers tried to repurpose this old drug and further explored the possible indications and adverse effects of metformin. Through investigating with clinical studies, researchers concluded that in addition to decreasing cardiovascular events and anti-obesity, metformin is also beneficial for neurodegenerative disease, polycystic ovary syndrome, aging, cancer and COVID-19, however, it also induces some adverse effects, such as gastrointestinal complaints, lactic acidosis, vitamin B12 deficiency, neurodegenerative disease and offspring impairment. Of note, the dose of metformin used in most studies is much higher than its clinically relevant dose, which may cast doubt on the actual effects of metformin on these disease in the clinic. This review summarizes these research developments on the mechanism of action and clinical evidence of metformin and discusses its therapeutic potential and clinical safety.

Metformin and Gegen Qinlian Decoction boost islet α-cell proliferation of the STZ induced diabetic rats

Background

The traditional Chinese medicine Gegen Qinlian Decoction (GQD), as well as metformin, had been reported with anti-diabetic effects in clinical practice.

Objective

To verify whether these two medicines effectively ameliorate hyperglycemia caused by deficiency of islet β-cell mass which occurs in both type 1 and type 2 diabetes.

Methods

SD rats were injected with a single dose of STZ (55 mg/kg) to induce β-cell destruction. The rats were then divided into control, diabetes, GQD and metformin group. GQD and metformin groups were administered with GQD extract or metformin for 6 weeks. The islet α-cell or β-cell mass changes were tested by immunohistochemical and immunofluorescent staining. The potential targets and mechanisms of GQD and metformin on cell proliferation were tested using in silico network pharmacology. Real-time PCR was performed to test the expression of islet cells related genes and targets related genes.

Results

Both GQD and metformin did not significantly reduce the FBG level caused by β-cell mass reduction, but alleviated liver and pancreas histopathology. Both GQD and metformin did not change the insulin positive cell mass but increased α-cell proliferation of the diabetic rats. Gene expression analysis showed that GQD and metformin significantly increased the targets gene cyclin-dependent kinase 4 (Cdk4) and insulin receptor substrate (Irs1) level.

Conclusion

This research indicates that GQD and metformin significantly increased the α-cell proliferation of β-cell deficiency induced diabetic rats by restoring Cdk4 and Irs1 gene expression.

From Diabetes to Atherosclerosis: Potential of Metformin for Management of Cardiovascular Disease

Atherosclerosis is a common cause of cardiovascular disease, which, in turn, is often fatal. Today, we know a lot about the pathogenesis of atherosclerosis. However, the main knowledge is that the disease is extremely complicated. The development of atherosclerosis is associated with more than one molecular mechanism, each making a significant contribution. These mechanisms include endothelial dysfunction, inflammation, mitochondrial dysfunction, oxidative stress, and lipid metabolism disorders. This complexity inevitably leads to difficulties in treatment and prevention. One of the possible therapeutic options for atherosclerosis and its consequences may be metformin, which has already proven itself in the treatment of diabetes. Both diabetes and atherosclerosis are complex metabolic diseases, the pathogenesis of which involves many different mechanisms, including those common to both diseases. This makes metformin a suitable candidate for investigating its efficacy in cardiovascular disease. In this review, we highlight aspects such as the mechanisms of action and targets of metformin, in addition to summarizing the available data from clinical trials on the effective reduction of cardiovascular risks.

Metformin and high-sensitivity cardiac troponin I and T trajectories in type 2 diabetes patients: a post-hoc analysis of a randomized controlled trial

BACKGROUND

Metformin has favorable effects on cardiovascular outcomes in both newly onset and advanced type 2 diabetes, as previously reported findings from the UK Prospective Diabetes Study and the HOME trial have demonstrated. Patients with type 2 diabetes present with chronically elevated circulating cardiac troponin levels, an established predictor of cardiovascular endpoints and prognostic marker of subclinical myocardial injury. It is unknown whether metformin affects cardiac troponin levels. The study aimed to evaluate cardiac troponin I and T trajectories in patients with diabetes treated either with metformin or placebo.

METHODS

This study is a post-hoc analysis of a randomized controlled trial (HOME trial) that included 390 patients with advanced type 2 diabetes randomized to 850 mg metformin or placebo up to three times daily concomitant to continued insulin treatment. Cardiac troponin I and T concentrations were measured at baseline and after 4, 17, 30, 43 and 52 months. We evaluated cardiac troponin trajectories by linear mixed-effects modeling, correcting for age, sex, smoking status and history of cardiovascular disease.

RESULTS

This study enrolled 390 subjects, of which 196 received metformin and 194 received placebo. In the treatment and placebo groups, mean age was 64 and 59 years; with 50% and 58% of subjects of the female sex, respectively. Despite the previously reported reduction of macrovascular disease risk in this cohort by metformin, linear mixed-effects regression modelling did not reveal evidence for an effect on cardiac troponin I and cardiac troponin T levels [- 8.4% (- 18.6, 3.2), p = 0.150, and - 4.6% (- 12, 3.2), p = 0.242, respectively]. A statistically significant time-treatment interaction was found for troponin T [- 1.6% (- 2.9, - 0.2), p = 0.021] but not troponin I concentrations [- 1.5% (- 4.2, 1.2), p = 0.263].

CONCLUSIONS

In this post-hoc analysis of a 4.3-year randomized controlled trial, metformin did not exert a clinically relevant effect on cardiac troponin I and cardiac troponin T levels when compared to placebo. Cardioprotective effects of the drug observed in clinical studies are not reflected by a reduction in these biomarkers of subclinical myocardial injury. Trial registration ClinicalTrials.gov identifier NCT00375388.

Metformin disrupts insulin secretion, causes proapoptotic and oxidative effects in rat pancreatic beta-cells in vitro

Metformin is the first-line drug to treat type 2 diabetes mellitus. Its mechanism of action is still debatable, and recent studies report that metformin attenuates oxidative stress. This study evaluated the in vitro antioxidant effects of a broad range of metformin concentrations on insulin-producing cells. The cell cycle, metabolism, glucose-stimulated insulin secretion, and cell death were evaluated to determine the biguanide effects on beta-cell function and survival. Antioxidant potential was based on reactive oxygen species (ROS), reduced glutathione (GSH), oxidative stress biomarker levels, and antioxidant enzyme and transcriptional factor Nrf2 activities. The results demonstrate that metformin disrupted GSIS in a concentration-dependent manner, lowered insulin content, and attenuated beta-cell metabolism. At high concentrations, metformin induced cell death and cell cycle arrest as well as increased ROS generation, consequently reducing GSH content. Although carbonylated protein content was elevated, indicating oxidative stress, the antioxidant enzyme and Nrf2 activities were not altered. In conclusion, our results show that metformin disrupts pancreatic beta-cell functionality but does not exert a putative antioxidant effect. It is important to note that the drug could potentially affect beta-cells, especially at high circulating levels.

Insulin Dosing, Glycemic Control, and Perinatal Outcomes in Pregnancies Complicated by Type-2 Diabetes

OBJECTIVE

This study aimed to evaluate the prevalence of severe insulin resistance (insulin requirements ≥2 units/kg) at delivery and the relationship between severe insulin resistance, glycemic control, and adverse perinatal outcomes in pregnant women with type-2 diabetes mellitus.

STUDY DESIGN

This is a retrospective cohort study of women with type-2 diabetes mellitus who delivered between January 2015 and December 2017 at a tertiary academic medical center. Maternal demographic information, self-monitored blood sugars, and insulin doses were abstracted from the medical record. Multivariable logistic regression was used to identify maternal baseline characteristics associated with severe insulin resistance at delivery.

RESULTS

Overall 72/160 (45%) of women had severe insulin resistance. Women in the severe insulin resistance group demonstrated evidence of suboptimal glycemic control as evidenced by higher mean hemoglobin A1c (HbA1c) values (7.2 [ ±  1.1] vs. 6.6 [ ±  1.3%], p = 0.003), higher mean fasting (104.0 [ ±  17.4] vs. 95.2 [ ±  11.7 mg/dL], p < 0.001) and postprandial glucose values (132.4 [ ±  17.2] vs. 121.9 [ ± 16.9 mg/dL]), p < 0.001), and a higher percentage of total glucose values that were elevated above targets (37.7 [95% confidence interval (CI): 26.8-50] vs. 25.6 [95% CI: 13.3-41.3%], p < 0.001). Maternal HbA1c ≥6.5% and insulin use prior to pregnancy were associated with a higher prevalence of severe insulin resistance, while Hispanic ethnicity and non-White race were associated with a lower prevalence of severe insulin resistance. The rates of adverse perinatal outcomes including large for gestational age (LGA) birth weight, cesarean delivery, and hypertensive disorders of pregnancy did not differ between groups.

CONCLUSION

Severe insulin resistance is common among pregnant women with type-2 diabetes, and it is associated with suboptimal glycemic control. Future studies are necessary to develop strategies to identify women with severe insulin resistance early in pregnancy and facilitate adequate insulin dosing.

KEY POINTS

· Severe insulin resistance is common.. · BMI does not predict severe insulin resistance.. · Suboptimal glycemic control is common..

Association of Metformin and Abdominal Aortic Aneurysm Repair Outcomes

BACKGROUND

Metformin is a commonly used drug in diabetes mellitus treatment. Recently it has been suggested that the use of metformin on diabetes mellitus patients may lower the prevalence and slow the progression of AAA (abdominal aortic aneurysm) as well as the risk of rupture related mortality. The aim of this studywas to investigate the impact of metformin treatment on the risk of AAA repair related mortality and surgical complications.

METHODS

In this retrospective study, the clinical data of 306 patients, including 77 patients with diabetes mellitus, who underwent abdominal aortic aneurysm repair has been analyzed. Treatment outcomes have been investigated. The diabetes and metformin prescription status has been obtained from the medical history. Patients were divided into three groups: diabetes-free individuals, diabetics treated with metformin and diabetics treated with other glucose lowering drugs. The association between metformin treatment and AAA diameter, surgical complications and mortality were assessed using chi-square independence test and odds ratio analysis. In order to assess which factors are influencing AAA repair related complications and mortality a multi-variables analysis has been performed.

RESULTS

A significant protective effect of metformin treatment towards AAA repair related mortality (P = 0.019) and complications (P = 0.032) among patients suffering from diabetes mellitus was revealed. These findings were statistically insignificant when considering all groups of patients (diabetes-free individuals, diabetics treated with metformin and diabetics treated with other glucose lowering drugs).

CONCLUSION

Metformin may lower the risk of AAA repair related mortality and surgical complications among patients with diabetes.

Metformin in the era of new antidiabetics

Type II diabetes mellitus is a known cardiovascular risk factor and its prevalence continues to increase. A revolution in the Type II diabetes mellitus treatment has occurred with the arrival of new antidiabetic drugs, which are thought to compromise metformin place. We aim to review the pharmacology, available evidence and clinical aspects of metformin use in the era of new antidiabetics.

Real-World Observational Study of Glimepiride and Metformin Fixed-Dose Combination Along With Insulin in the Management of Type 2 Diabetes Mellitus: Indian Experience

Background Type 2 diabetes mellitus (T2DM) is associated with a significant burden on both patients and the healthcare system. This study aimed to evaluate the demographics of patients with T2DM receiving different strengths of glimepiride and metformin combination along with insulin. This study also examined the concomitant conditions and therapies, duration of therapies, dosage titration, glycated hemoglobin (HbA1c) levels, hypoglycemic events, and weight changes during the course of therapy. Methods This retrospective, multicenter (347), observational study included adult patients with T2DM who received glimepiride and metformin combination along with insulin. Data related to demographic characteristics, duration of disease, co-morbidities, concomitant medications, and dosage pattern was collected from medical records authenticated by physicians during routine care. Results A total of 7058 patients were included in the study. The median age of included patients was 55 years and around 29% were aged >60 years and 60% were men. The majority of patients (83.3%) had insulin treatment initiation after glimepiride and metformin combination while other patients (16.7%) received glimepiride and metformin combination after insulin initiation. The mean HbA1c levels significantly decreased with a mean change of 1.33%. In one-third of the patients, down-titration of the insulin dose was done, indicating the insulin-sparing effect with the addition of the glimepiride and metformin combination. The most common comorbid condition was hypertension (64.7%). Of 3705 patients, 33.2% patients had weight loss and 66.8% had weight gain. A total of 432 patients reported hypoglycemic events. Physician global evaluation of efficacy and tolerability showed a good to excellent on the scale (97.3% and 96.6%). Conclusion This study presented good HbA1c lowering with glimepiride and metformin combination with insulin, ensuring a positive clinical outcome. Good to excellent efficacy and tolerability were observed in patients with T2DM across the age groups, in early as well as long-standing disease.

A Comparison Between the Therapeutic Effect of Metformin Alone versus a Combination Therapy with Insulin in Uncontrolled, Non-Adherence Patients with Type 2 Diabetes: Six Months Follow-Up

PURPOSE

The study aimed to compare the metabolic effects of an intensive dose of metformin alone among non-adherence patients with type 2 diabetes versus in combination with insulin among adherence patients.

METHODS

The prospective cohort study was carried out on a sample of 140 patients above 18 years old, divided into two groups. The first group (n=70) was recommended metformin monotherapy in an intensive dose of 2-3 g/day, whereas the second group (n=70) was prescribed metformin (1-2g/day) in combination with insulin. FPG, HbA1c, BMI, blood pressure, TC, TG, HDL-C, LDL-C, creatinine, and eGFR were measured for each patient at baseline and after a follow-up of 6 months of active treatment.

RESULTS

After six months of active treatment using monotherapy with an intensive dose of metformin, only 11.43% of patients achieved the target levels of HBA1c below 7%. In the group of patients treated using a combination of metformin with insulin, after six months of active treatment, 45.72% achieved HBA1c levels below 7% (p<0.0001). Compared with an intensive dose of metformin alone, the combination of insulin and metformin was associated with improved glycemic control (change of fasting blood glucose: 2.49 mmol/l vs 1.30 mmol/l, p=0.0016). Metformin use alone, as compared with insulin, was associated with a significant increase in HDL-C (+0.03 mmol/l vs -0.14 mmol/l, p=0.0485). Increased baseline obesity and increased baseline glycemia were the factors related to the likelihood of failing to achieve the target levels for HbA1c.

CONCLUSION

Metformin proved to be more effective in controlling hyperglycemia when combined with insulin therapy. Our study shows how many health benefits loss patients who, despite systematic diabetes education, do not agree to change their treatment in the form of adding a second drug, including insulin.

Can combination therapy with insulin and metformin improve metabolic function of the liver, in type I diabetic patients? An animal model study on CYP2D1 activity

INTRODUCTION

Changes in hepatic clearance and CYP2D1 activity after combination therapy with insulin and metformin in type-1 diabetes and insulin administration in type-2 diabetes was assessed in an animal model.

METHODS

Ten male Wistar rats were divided into two groups. Seven days after induction of diabetes, in treatment groups, type-1 diabetic rats received insulin plus metformin, and type-2 diabetic rats received insulin daily for 14 days. On day 21, rats were subjected to liver perfusion using Krebs-Henseleit buffer containing dextromethorphan as a CYP2D1 probe. Perfusate samples were analyzed by HPLC-FL.

RESULTS

The average metabolic rate of dextromethorphan and hepatic clearance changed from 0.012 ± 0.004 and 6.3 ± 0.1 ml/min in the control group to 0.006 ± 0.001 and 5.2 ± 0.2 ml/min in the untreated type-1 diabetic group, and 0.008 ± 0.003 and 5 ± 0.6 ml/min in the untreated type-2 diabetic rats [1]. In the present study, metabolic rate and hepatic clearance changed to 0.0112 ± 0.0008 and 6.2 ± 0.1 ml/min in the type-1 diabetic group treated with insulin plus metformin, and 0.0149 ± 0.0012 and 6.03 ± 0.06 ml/min in the insulin-receiving type-2 diabetic rats.

CONCLUSIONS

Administration of insulin plus metformin in type-1 diabetes could modulate the function of CYP2D1 to the observed levels in the control group and made it clearer to predict the fate of drugs that are metabolized by this enzyme. Moreover, good glycemic control with insulin administration has a significant effect on the balance between hepatic clearance and CYP2D1 activity in type-2 diabetes.

Where Does Metformin Stand in Modern Day Management of Type 2 Diabetes?

Metformin is the most commonly used glucose-lowering therapy (GLT) worldwide and remains the first-line therapy for newly diagnosed individuals with type 2 diabetes (T2D) in management algorithms and guidelines after the UK Prospective Diabetes Study (UKPDS) showed cardiovascular mortality benefits in the overweight population using metformin. However, the improved Major Adverse Cardiovascular Events (MACE) realised in some of the recent large cardiovascular outcomes trials (CVOTs) using sodium-glucose co-transporter 2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP-1RA) have challenged metformin's position as a first-line agent in the management of T2D. Many experts now advocate revising the existing treatment algorithms to target atherosclerotic cardiovascular disease (ASCVD) and improving glycaemic control as a secondary aim. In this review article, we will revisit the major cardiovascular outcome data for metformin and include a critique of the UKPDS data. We then review additional factors that might be pertinent to metformin's status as a first-line agent and finally answer key questions when considering metformin's role in the modern-day management of T2D.

Factors associated with glycemic control among South African adult residents of Mkhondo municipality living with diabetes mellitus

This study examines the rate and the influencing factors of glycemic control among adult residents living with DM in Mkhondo Municipality of South Africa.In this cross-sectional study, 157 individuals attending care for DM were recruited. Glycemic control status was categorized as poor if glycated hemoglobin (HbA1c) > 7% and very poor if HbA1c ≥ 9%. Multivariate regression analysis was used to identify the significant determinants of poor and very poor glycemic control.The majority of the study participants were females (84.71%) and above 45 years old (88.55%). The overall prevalence of poor glycemic control was 77.71% (n = 122), while very poor glycemic control occurred in 50.6% (n = 80) of the study cohort. In the multivariate logistic regression model analysis, African traditional [AOR = 0.15; 95% confidence interval (95% CI) 0.04-0.57], fast food consumption (AOR = 5.89; 95% CI 2.09-16.81), elevated total cholesterol (TC) [odds ratio (OR) = 2.33; 95% CI 1.50-5.17], elevated low-density lipoprotein cholesterol (LDL-C) (AOR = 5.28; 95% CI 1.89-14.69), and triglyceride (TG) (AOR = 4.39; 95% CI 1.48-13.00) were the independent and significant determinants of poor glycemic control. Age (AOR = 0.46; 95% CI 0.23-0.92) was the only independent and significant determinant of very poor glycemic control.We found a high rate of poor glycemic control (77.71%) possibly attributed to religious affiliation, fast food consumption, and dyslipidemia. On the contrary, about half of the study sample had very poor glycemic control (HbA1c ≥9%), which was predominant among younger cohort with diabetes mellitus. Interventions aimed at improving glycemic control in this population must also target religious practice, dietary patterns and dyslipidemia as well as tailored-approach for young people.

Metformin in women with type 2 diabetes in pregnancy (MiTy): a multicentre, international, randomised, placebo-controlled trial

BACKGROUND

Although metformin is increasingly being used in women with type 2 diabetes during pregnancy, little data exist on the benefits and harms of metformin use on pregnancy outcomes in these women. We aimed to investigate the effects of the addition of metformin to a standard regimen of insulin on neonatal morbidity and mortality in pregnant women with type 2 diabetes.

METHODS

In this prospective, multicentre, international, randomised, parallel, double-masked, placebo-controlled trial, women with type 2 diabetes during pregnancy were randomly assigned from 25 centres in Canada and four in Australia to receive either metformin 1000 mg twice daily or placebo, added to insulin. Randomisation was done via a web-based computerised randomisation service and stratified by centre and pre-pregnancy BMI (<30 kg/m² or ≥30 kg/m²) in a ratio of 1:1 using random block sizes of 4 and 6. Women were eligible if they had type 2 diabetes, were on insulin, had a singleton viable pregnancy, and were between 6 and 22 weeks plus 6 days' gestation. Participants were asked to check their fasting blood glucose level before the first meal of the day, before the last meal of the day, and 2 h after each meal. Insulin doses were adjusted aiming for identical glucose targets (fasting glucose <5·3 mmol/L [95 mg/dL], 2-h postprandial glucose <6·7 mmol/L [120 mg/dL]). Study visits were done monthly and patients were seen every 1-4 weeks as was needed for standard clinical care. At study visits blood pressure and bodyweight were measured; patients were asked about tolerance to their pills, any hospitalisations, insulin doses, and severe hypoglycaemia events; and glucometer readings were downloaded to the central coordinating centre. Participants, caregivers, and outcome assessors were masked to the intervention. The primary outcome was a composite of fetal and neonatal outcomes, for which we calculated the relative risk and 95% CI between groups, stratifying by site and BMI using a log-binomial regression model with an intention-to-treat analysis. Secondary outcomes included several relevant maternal and neonatal outcomes. The trial was registered with ClinicalTrials.gov, NCT01353391.

FINDINGS

Between May 25, 2011, and Oct 11, 2018, we randomly assigned 502 women, 253 (50%) to metformin and 249 (50%) to placebo. Complete data were available for 233 (92%) participants in the metformin group and 240 (96%) in the placebo group for the primary outcome. We found no significant difference in the primary composite neonatal outcome between the two groups (40% vs 40%; p=0·86; relative risk [RR] 1·02 [0·83 to 1·26]). Compared with women in the placebo group, metformin-treated women achieved better glycaemic control (HbA_1c at 34 weeks' gestation 41·0 mmol/mol [SD 8·5] vs 43·2 mmol/mol [-10]; 5·90% vs 6·10%; p=0·015; mean glucose 6·05 [0·93] vs 6·27 [0·90]; difference -0·2 [-0·4 to 0·0]), required less insulin (1·1 units per kg per day vs 1·5 units per kg per day; difference -0·4 [95% CI -0·5 to -0·2]; p<0·0001), gained less weight (7·2 kg vs 9·0 kg; difference -1·8 [-2·7 to -0·9]; p<0·0001) and had fewer caesarean births (125 [53%] of 234 in the metformin group vs 148 [63%] of 236 in the placebo group; relative risk [RR] 0·85 [95% CI 0·73 to 0·99]; p=0·031). We found no significant difference between the groups in hypertensive disorders (55 [23%] in the metformin group vs 56 [23%] in the placebo group; p=0·93; RR 0·99 [0·72 to 1·35]). Compared with those in the placebo group, metformin-exposed infants weighed less (mean birthweight 3156 g [SD 742] vs 3375 g [742]; difference -218 [-353 to -82]; p=0·002), fewer were above the 97th centile for birthweight (20 [9%] in the metformin group vs 34 [15%] in the placebo group; RR 0·58 [0·34 to 0·97]; p=0·041), fewer weighed 4000 g or more at birth (28 [12%] in the metformin group vs 44 [19%] in the placebo group; RR 0·65 [0·43 to 0·99]; p=0·046), and metformin-exposed infants had reduced adiposity measures (mean sum of skinfolds 16·0 mm [SD 5·0] vs 17·4 [6·2] mm; difference -1·41 [-2·6 to -0·2]; p=0·024; mean neonatal fat mass 13·2 [SD 6·2] vs 14·6 [5·0]; p=0·017). 30 (13%) infants in the metformin group and 15 (7%) in the placebo group were small for gestational age (RR 1·96 [1·10 to 3·64]; p=0·026). We found no significant difference in the cord c-peptide between groups (673 pmol/L [435] in the metformin group vs 758 pmol/L [595] in the placebo group; p=0·10; ratio of means 0·88 [0·72 to 1·02]). The most common adverse event reported was gastrointestinal (38 events in the metformin group and 38 events in the placebo group).

INTERPRETATION

We found several maternal glycaemic and neonatal adiposity benefits in the metformin group. Along with reduced maternal weight gain and insulin dosage and improved glycaemic control, the lower adiposity and infant size measurements resulted in fewer large infants but a higher proportion of small-for-gestational-age infants. Understanding the implications of these effects on infants will be important to properly advise patients who are contemplating the use of metformin during pregnancy.

FUNDING

Canadian Institutes of Health Research, Lunenfeld-Tanenbaum Research Institute, University of Toronto.

Metformin and Its Benefits for Various Diseases

Metformin is a widely used biguanide drug due to its safety and low cost. It has been used for over 60 years to treat type 2 diabetes at the early stages because of its outstanding ability to decrease plasma glucose levels. Over time, different uses of metformin were discovered, and the benefits of metformin for various diseases and even aging were verified. These diseases include cancers (e.g., breast cancer, endometrial cancer, bone cancer, colorectal cancer, and melanoma), obesity, liver diseases, cardiovascular disease, and renal diseases. Metformin exerts different effects through different signaling pathways. However, the underlying mechanisms of these different benefits remain to be elucidated. The aim of this review is to provide a brief summary of the benefits of metformin and to discuss the possible underlying mechanisms.

BE-SMART (Basal Early Strategies to Maximize HbA1c Reduction with Oral Therapy): Expert Opinion

The past three decades have seen a quadruple rise in the number of people affected by diabetes mellitus worldwide, with the disease being the ninth major cause of mortality. Type 2 diabetes mellitus (T2DM) often remains undiagnosed for several years due to its asymptomatic nature during the initial stages. In India, 70% of diagnosed diabetes cases remain uncontrolled. Current guidelines endorse the initiation of insulin early in the course of the disease, specifically in patients with HbA1c > 10%, as the use of oral agents alone is unlikely to achieve glycemic targets. Early insulin initiation and optimization of glycemic control using insulin titration algorithms and patient empowerment can facilitate the effective management of uncontrolled diabetes. Early glucose control has sustained benefits in people with diabetes. However, insulin initiation, dose adjustment, and the need to repeatedly assess blood glucose levels are often perplexing for both physicians and patients, and there are misconceptions and concerns regarding its use. Hence, an early transition to insulin and ideal intensification of treatment may aid in delaying the onset of diabetes complications. This opinion statement was formulated by an expert panel on the basis of existing guidelines, clinical experience, and economic and cultural contexts. The statement stresses the timely and appropriate use of basal insulin in T2DM. It focuses on the seven vital Ts-treatment initiation, timing of administration, transportation and storage, technique of administration, targets for titration, tablets, and tools for monitoring.Funding: Sanofi.

Use of Insulin Glargine 100 U/mL for the Treatment of Type 2 Diabetes Mellitus in East Asians: A Review

Insulin glargine (IGlar) 100 U/mL (IGlar-100) is widely used in East Asian countries for the treatment of type 2 diabetes mellitus (T2DM) and is the gold standard of basal insulin treatment. In this review we summarize key information about clinical experience with IGlar-100 in East Asian patients with T2DM, including findings from clinical trials and postmarketing studies. We also provide recommendations and opinions on the optimal use of IGlar-100 in this population. The findings from the studies highlighted in our review indicate that IGlar-100 can be a suitable treatment option for East Asians with T2DM, from initial therapy in combination with oral antihyperglycemic medications through to different combinations and intensification models. FUNDING: Eli Lilly and Company.

DETERMINING INSULIN DOSE AT THE TIME OF DISCHARGE IN A HIGH-RISK POPULATION: IS THERE ROOM FOR IMPROVEMENT?

OBJECTIVE

To evaluate the adequacy of the insulin dose prescribed at hospital discharge in a high-risk population and assess patient characteristics that influence insulin dose requirement in the immediate postdischarge period.

METHODS

This was a retrospective study conducted at Parkland Health System. We included all patients admitted to a medical floor who received an insulin prescription at discharge and had at least one follow-up visit within 6 months of discharge. All data were extracted by a detailed manual review of each electronic medical record.

RESULTS

At the postdischarge follow-up (N = 797, median 33 days from discharge), 60% of patients required an insulin dose adjustment; 47% of the patients required a dose decrease. Significant predictors of a decrease insulin requirement postdischarge included (multiple regression beta coefficient [95% confidence interval]): newly diagnosed diabetes, -12.7 (-17.7, -7.7); ketosis-prone diabetes, -8.4 (-15, -1.8); glycated hemoglobin A1c (HbA1c), <10% (86 mmol/mol) -7.0 (-11.4, -2.6); discharge insulin total daily dose, -5.3 (-9.3, -1.3); and metformin prescription, -4.9 (-8.4, -1.3).

CONCLUSION

An insulin dose adjustment (most commonly a decrease) was necessary shortly after discharge in more than half of our patients. A better model to estimate insulin dose at discharge is needed along with short-term follow-up after discharge for insulin titration. A pre-emptive insulin dose reduction at discharge should be considered for patients with newly diagnosed diabetes, ketosis-prone diabetes, metformin prescription, and those with HbA1c <10% at presentation.

ABBREVIATIONS

DKA = diabetic ketoacidosis; HbA1c = glycated hemoglobin A1c; KPDM = ketosis-prone diabetes mellitus; TDD = total daily dose.

Lipotoxicity and β Cell Maintenance in Obesity and Type 2 Diabetes

Obesity and diabetes are often associated with lipotoxic conditions in multiple tissues. The insulin-producing β cells are susceptible to elevated lipid levels and the ensuing lipotoxicity. The preservation of β cell mass and function is one of the main goals of diabetes management under these metabolically stressful conditions. However, the adverse effects from the adaptive signaling pathways that β cells use to counteract lipotoxic stress have secondary negative effects in their own right. Antilipotoxic signaling cascades in β cells can contribute to their eventual failure. Such dual roles are seen for many other biological adaptive processes as well.

Metabolic Effects of Metformin in Humans

BACKGROUND

Both insulin deficiency and insulin resistance due to glucagon secretion cause fasting and postprandial hyperglycemia in patients with diabetes.

INTRODUCTION

Metformin enhances insulin sensitivity, being used to prevent and treat diabetes, although its mechanism of action remains elusive.

RESULTS

Patients with diabetes fail to store glucose as hepatic glycogen via the direct pathway (glycogen synthesis from dietary glucose during the post-prandial period) and via the indirect pathway (glycogen synthesis from "de novo" synthesized glucose) owing to insulin deficiency and glucagoninduced insulin resistance. Depletion of the hepatic glycogen deposit activates gluconeogenesis to replenish the storage via the indirect pathway. Unlike healthy subjects, patients with diabetes experience glycogen cycling due to enhanced gluconeogenesis and failure to store glucose as glycogen. These defects raise hepatic glucose output causing both fasting and post-prandial hyperglycemia. Metformin reduces post-prandial plasma glucose, suggesting that the drug facilitates glucose storage as hepatic glycogen after meals. Replenishment of glycogen store attenuates the accelerated rate of gluconeogenesis and reduces both glycogen cycling and hepatic glucose output. Metformin also reduces fasting hyperglycemia due to declining hepatic glucose production. In addition, metformin reduces plasma insulin concentration in subjects with impaired glucose tolerance and diabetes and decreases the amount of insulin required for metabolic control in patients with diabetes, reflecting improvement of insulin activity. Accordingly, metformin preserves β-cell function in patients with type 2 diabetes.

CONCLUSION

Several mechanisms have been proposed to explain the metabolic effects of metformin, but evidence is not conclusive and the molecular basis of metformin action remains unknown.

Metformin induces significant reduction of body weight, total cholesterol and LDL levels in the elderly - A meta-analysis

Background

Metformin is the first-choice drug for patients with Type 2 diabetes, and this therapy is characterized by being weight neutral. However, in the elderly an additional unintentional weight loss could be considered as an adverse effect of the treatment.

Objectives

We aimed to perform a meta-analysis of placebo-controlled studies investigating the body weight changes upon metformin treatment in participants older than 60 years.

Materials and methods

PubMed, EMBASE and the Cochrane Library were searched. We included at least 12 week-long studies with placebo control where the mean age of the metformin-treated patients was 60 years or older and the body weight changes of the patients were reported. We registered our protocol on PROSPERO (CRD42017055287).

Results

From the 971 articles identified by the search, 6 randomized placebo-controlled studies (RCTs) were included in the meta-analysis (n = 1541 participants). A raw difference of -2.23 kg (95% CI: -2.84 –-1.62 kg) body weight change was detected in the metformin-treated groups as compared with that of the placebo groups (p<0.001). Both total cholesterol (-0.184 mmol/L, p<0.001) and LDL cholesterol levels (-0.182 mmol/L, p<0.001) decreased upon metformin-treatment.

Conclusions

Our meta-analysis of RCTs showed a small reduction of body weight together with slight improvement of the blood lipid profile in patients over 60 years. With regard to the risk of unintentional weight loss, metformin seems to be a safe agent in the population of over 60 years. Our results also suggest that metformin treatment may reduce the risk of major coronary events (-4-5%) and all-cause mortality (-2%) in elderly diabetic populations.

Long-term treatment with metformin in type 2 diabetes and vitamin D levels: A post-hoc analysis of a randomized placebo-controlled trial

AIMS

To study the effects of metformin, as compared to placebo, on serum levels of vitamin D (25-hydroxyvitamin D [25(OH)D]) in patients with advanced type 2 diabetes.

MATERIALS AND METHODS

In the HOME trial, a randomized placebo-controlled trial, 390 insulin-treated patients with type 2 diabetes were treated with 850 mg metformin or placebo thrice daily for 52 months. In a post-hoc analysis, we examined changes in the combined levels of 25(OH)D₂ and 25(OH)D₃ at 4 and 16 months during the study.

RESULTS

Mean combined 25(OH)D at baseline was 68.2 nmoL/L (95% confidence interval [CI]: 65.5-71.1). In mixed model analysis, metformin, as compared to placebo, had no effect on 25(OH)D levels during 16 months (coefficient: 1.002 per month, multiplicative model; 95% CI: 0.998-1.006, P = .30). Metformin was associated with a small increase of 25(OH)D₂ (coefficient: 1.012 per month; 95% CI: 1.003-1.021, P = .008). However, 25(OH)D₂ is only a very small fraction (3%) of 25(OH)D. Seasonal variation had the biggest impact on 25(OH)D levels. Vitamin B12 levels were not associated with the levels of 25(OH)D.

CONCLUSION

Metformin had no effect on serum 25(OH)D during 16 months in the setting of a clinical randomized controlled trial in patients with type 2 diabetes. Our results show that metformin doesn't lead to vitamin D deficiency.

A gene variant near ATM affects the response to metformin and metformin plasma levels: a post hoc analysis of an RCT

AIM

To determine the influence of polymorphisms on the effects of metformin on HbA1c, daily dose of insulin and metformin plasma concentration. Methods: In a post hoc analysis of a 4.3 year placebo-controlled randomized trial with 390 patients with Type 2 diabetes already on insulin, we analyzed the influence of polymorphisms in genes coding for ATM and the transporters OCT1 and MATE1. Outcome measures were a combined HbA1c + daily dose of insulin Z score and metformin plasma concentrations.

RESULTS

rs11212617 (ATM) was associated with an improved Z score and a lower metformin plasma concentration. In addition, the major allele of rs2289669 (MATE1) was also associated with an improved Z score.

CONCLUSION

The ATM SNP rs11212617 significantly affected the effect of metformin and metformin plasma concentration. Further research is needed to determine the clinical importance of these findings, in particular the effects on metformin plasma concentration.

Long-term safety and efficacy of tofogliflozin as add-on to insulin in patients with type 2 diabetes: Results from a 52-week, multicentre, randomized, double-blind, open-label extension, Phase 4 study in Japan (J-STEP/INS)

AIMS

To evaluate the long-term safety and efficacy of tofogliflozin as an add-on treatment to insulin over 52 weeks.

MATERIALS AND METHODS

This 52-week, multicentre, Phase 4 study consisted of a 16-week, randomized, double-blind, placebo-controlled phase and a 36-week open label extension phase (NCT02201004). Japanese patients with type 2 diabetes mellitus, aged 20 to 75 years, with suboptimal glycaemic control (7.5%-10.5%) receiving insulin monotherapy (basal-bolus, bolus, premix [low and high] and basal) or receiving combination therapy with basal insulin and dipeptidyl peptidase-4 inhibitor were eligible for participation. Patients who received tofogliflozin throughout the study (52 weeks) were referred to as the 'tofo-tofo group' and patients who received placebo and tofogliflozin (36 weeks) were referred to as the 'pla-tofo group'.

RESULTS

A total of 210 patients received treatment per randomization. Hypoglycaemia was the most common treatment-emergent adverse event (AE) (42.9% in the tofo-tofo group and 29.4% in the pla-tofo group). Patients reported genital infection, urinary tract infection, excessive urination and AEs related to volume depletion (2.1%, 2.1%, 7.1% and 10.0% of patients in the tofo-tofo group, and 0%, 1.5%, 2.9% and 7.4% of patients in the pla-tofo group, respectively). Mean HbA1c and body weight at baseline (mean changes ± standard error from baseline to Week 52) in the tofo-tofo and pla-tofo groups were 8.53% (-0.76% ± 0.077) and 8.40% (-0.73% ± 0.102); 68.84 kg (-1.52 kg ± 0.207) and 72.24 kg (-2.13 kg ± 0.313), respectively.

CONCLUSIONS

This study demonstrates the safety and efficacy of tofogliflozin as add-on to insulin therapy in type 2 diabetes mellitus patients, offering a new therapeutic solution to diabetes management.

Insulin Monotherapy Versus Insulin Combined with Other Glucose-Lowering Agents in Type 2 Diabetes: A Narrative Review

CONTEXT

Insulin can be prescribed as a monotherapy or a combined therapy with other anti-diabetic medications. In this narrative review, the authors aimed to gather data related to comparison of insulin monotherapy versus combination of insulin and other anti-diabetic treatments with regards to different outcome measures in type 2 diabetes.

EVIDENCE ACQUISITION

This study searched and focused on the most recently published systematic reviews and their references investigating issues related to the primary aim.

RESULTS

The current data available on this topic is heterogeneous and suffers from low quality with respect to most combination treatments. Considering the efficacy and safety of combination therapy of insulin with older hypoglycemic agents, in general metformin and pioglitazone have the best and worst profiles, respectively. Compared to insulin monotherapy, combination of insulin and metformin is associated with better glycemic control, reduced daily insulin dose, less hypoglycemia, and weight gain; combination of insulin and pioglitazone results in greater hypoglycemia and weight gain and is associated with increased risk of edema and heart failure. Regarding sulphonylurea, there is some concern regarding hypoglycemia and weight gain. Addition of dipeptidyl peptidase-4 inhibitors to insulin seems to be beneficial with respect to glycemic control without any significant adverse effects. New drugs, including glucagon-like peptide-1 agonists and sodium glucose co-transporter 2 inhibitors, have acceptable profiles with significant benefits regarding weight reduction when added on insulin therapy.

CONCLUSIONS

Considering the quality and longevity of evidence, compared to insulin monotherapy, insulin combined with metformin and pioglitazone has the best and worst profiles, respectively. New anti-diabetic medications have acceptable profiles yet are expensive. It is important for clinicians to meticulously weigh the advantages of combination therapy against the possible adverse effects with each drug class in every patient, individually.

Long-term treatment with metformin in type 2 diabetes and methylmalonic acid: Post hoc analysis of a randomized controlled 4.3year trial

AIMS

Metformin treatment is associated with a decrease of serum vitamin B12, but whether this reflects tissue B12 deficiency is controversial. We studied the effects of metformin on serum levels of methylmalonic acid (MMA), a biomarker for tissue B12 deficiency, and on onset or progression of neuropathy.

METHODS

In the HOME trial, 390 insulin-treated patients with type 2 diabetes were treated with metformin or placebo for 52months. In a post hoc analysis, we analyzed the association between metformin, MMA and a validated Neuropathy Score (NPS).

RESULTS

Metformin vs placebo increased MMA at the end of the study (95%CI: 0.019 to 0.055, p=0.001). Mediation analysis showed that the effect of metformin on the NPS consisted of a beneficial effect through lowering HbA1c (-0.020 per gram year) and an adverse effect through increasing MMA (0.042 per gram year), resulting in a non-significant net effect (0.032 per gram year, 95% CI: -0.121 to 0.182, p=0.34).

CONCLUSION

Metformin not only reduces serum levels of B12, but also progressively increases serum MMA. The increase of MMA in metformin users was associated with significant worsening of the NPS. These results provide further support that metformin-related B12 deficiency is clinically relevant. Monitoring of B12 in users of metformin should be considered.

Intensive insulin therapy combined with metformin is associated with reduction in both glucose variability and nocturnal hypoglycaemia in patients with type 2 diabetes

BACKGROUND

The effect on glucose variability in patients with intensive insulin therapy has not been fully understood. This observational study investigated the different glucose variability and hypoglycaemia patterns in type 2 diabetes patients treated with continuous subcutaneous insulin infusion (CSII) or multiple daily injections (MDI) with or without metformin administration.

METHODS

During hospitalization, a total of 501 patients with poor glycaemic control and in initial treatment with either CSII alone (n = 187), CSII + Metformin (n = 81), MDI alone (n = 146), or MDI + Metformin (n = 87) were involved in the final analysis. Data obtained from continuous glucose monitoring were used to assess blood glucose fluctuation and nocturnal hypoglycaemia.

RESULTS

Among the 4 groups, no difference was found in mean blood glucose levels. Results in parameters reflecting glucose fluctuation: continuous overlapping net glycaemic action in CSII + Metformin and mean amplitude of glycaemic excursions in MDI + Metformin were significantly lower than those in either CSII alone or MDI alone, respectively, even after adjustment (P = .031 and .006). Frequency of nocturnal hypoglycaemia was significantly decreased in CSII + Metformin as compared with CSII alone (0.6% vs 1.8%) and in MDI + Metformin as compared with MDI alone (1.6% vs 2.3%), with the highest frequency observed in MDI alone and the lowest in CSII + Metformin (all between group P < .001). Consistent results were obtained in between-group comparisons for hypoglycaemia duration. Subgroup analysis matched with baseline body mass index, and glycated haemoglobin and fasting blood glucose further confirmed these findings.

CONCLUSION

Metformin added to initial CSII or MDI therapy is associated with a reduction in both glucose fluctuation and nocturnal hypoglycaemic risk in patients with type 2 diabetes.

Effects of insulin analogs as an add-on to metformin on cutaneous microcirculation in type 2 diabetic patients

BACKGROUND

A single insulin injection was shown to improve microcirculatory blood flow. Our aim was to examine the effects of 4weeks of insulin therapy by three randomly assigned insulin analog regimens (Detemir, Aspart, and their combination) on cutaneous blood flow (CBF) and microcirculatory endothelial function as an add-on to metformin in type 2 diabetic patients poorly controlled on oral antidiabetic treatment.

METHODS

Fourty-two type 2 diabetic patients with no history of cardiovascular disease in secondary failure to oral antidiabetic agents had CBF measurements before and after acetylcholine (Ach) iontophoretic administration. CBF measurements were performed at fasting and after a standardized breakfast during the post-prandial period. Before randomization (Visit 1, V1) during the tests, participants took only metformin. The same tests were repeated after 4weeks of insulin treatment (Visit 2, V2).

RESULTS

Thirty-four patients had good quality recordings for both visits. During V1, CBF and CBF response to Ach increased in the post-prandial period. After 4weeks of insulin treatment, metabolic parameters improved. Compared to V1, CBF at fasting did not increase at V2 but there was an improvement in endothelial function at fasting after Ach iontophoresis, without difference across insulin regimens. Oxidative stress markers were not modified, and E-selectin and vascular cell adhesion molecule 1 levels decreased after insulin treatment, without differences between insulin groups.

CONCLUSIONS

A strategy of improving glycemic control for 4weeks with insulin analogs improves microcirculatory endothelial reactivity and reduces endothelial biomarkers at fasting, whatever the insulin regimen used. Insulin therapy associated to metformin is able to improve fasting microvascular endothelial function even before complete metabolic control.

Metformin: clinical use in type 2 diabetes

Metformin is one of the most popular oral glucose-lowering medications, widely considered to be the optimal initial therapy for patients with type 2 diabetes mellitus. Interestingly, there still remains controversy regarding the drug's precise mechanism of action, which is thought to involve a reduction in hepatic glucose production. It is now recommended as first-line treatment in various guidelines, including that of the EASD and ADA. Its favoured status lies in its efficacy, low cost, weight neutrality and good safety profile. Other benefits have also been described, including improvements in certain lipids, inflammatory markers, and a reduction in cardiovascular events, apparently independent from the drug's glucose-lowering effect. Data have emerged questioning the previous reluctance to use this agent in those with mild to moderate chronic kidney disease. Regulations guiding its use in patients with stable, modest renal dysfunction have, as a result, become more lenient in recent years. With no long-term studies comparing it against newer glucose-lowering drugs, some of which have more robust evidence for cardioprotection, metformin's established role as 'foundation therapy' in type 2 diabetes may justifiably be challenged.

Combined metformin and insulin treatment reverses metabolically impaired omental adipogenesis and accumulation of 4-hydroxynonenal in obese diabetic patients

Objective

Obesity-associated impaired fat accumulation in the visceral adipose tissue can lead to ectopic fat deposition and increased risk of insulin resistance and type 2 diabetes mellitus (T2DM). This study investigated whether impaired adipogenesis of omental (OM) adipose tissues and elevated 4-hydroxynonenal (4-HNE) accumulation contribute to this process, and if combined metformin and insulin treatment in T2DM patients could rescue this phenotype.

Methods

OM adipose tissues were obtained from forty clinically well characterized obese individuals during weight reduction surgery. Levels of 4-HNE protein adducts, adipocyte size and number of macrophages were determined within these tissues by immunohistochemistry. Adipogenic capacity and gene expression profiles were assessed in preadipocytes derived from these tissues in relation to insulin resistance and in response to 4-HNE, metformin or combined metformin and insulin treatment.

Results

Preadipocytes isolated from insulin resistant (IR) and T2DM individuals exhibited lower adipogenesis, marked by upregulation of anti-adipogenic genes, compared to preadipocytes derived from insulin sensitive (IS) individuals. Impaired adipogenesis was also associated with increased 4-HNE levels, smaller adipocytes and greater macrophage presence in the adipose tissues. Within the T2DM group, preadipocytes from combined metformin and insulin treated subset showed better in vitro adipogenesis compared to metformin alone, which was associated with less presence of macrophages and 4-HNE in the adipose tissues. Treatment of preadipocytes in vitro with 4-HNE reduced their adipogenesis and increased proliferation, even in the presence of metformin, which was partially rescued by the presence of insulin.

Conclusion

This study reveals involvement of 4-HNE in the impaired OM adipogenesis-associated with insulin resistance and T2DM and provides a proof of concept that this impairment can be reversed by the synergistic action of insulin and metformin. Further studies are needed to evaluate involvement of 4-HNE in metabolically impaired abdominal adipogenesis and to confirm benefits of combined metformin-insulin therapy in T2DM patients.

Drug therapies in type 2 diabetes: an era of personalised medicine

Optimal management of diabetes involves a multidisciplinary approach. Prioritisation of lifestyle change, blood pressure and lipid control, and regular screening for complications are advocated in most international guidelines. Good glucose control, however, remains an important aim of treatment, although it is increasingly recognised that glucose targets should be individualised, with less stringent targets for older patients with significant comorbidities.In recent years, a number of newer therapies for hyperglycaemia have become available. This review aims to discuss currently available options for patients with type 2 diabetes, and also discusses potential new therapies that may be on the horizon in the future.

Insulin monotherapy compared with the addition of oral glucose-lowering agents to insulin for people with type 2 diabetes already on insulin therapy and inadequate glycaemic control

BACKGROUND

It is unclear whether people with type 2 diabetes mellitus on insulin monotherapy who do not achieve adequate glycaemic control should continue insulin as monotherapy or can benefit from adding oral glucose-lowering agents to the insulin therapy.

OBJECTIVES

To assess the effects of insulin monotherapy compared with the addition of oral glucose-lowering agents to insulin monotherapy for people with type 2 diabetes already on insulin therapy and inadequate glycaemic control.

SEARCH METHODS

We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, ClinicalTrials.gov, the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) and reference lists of articles. The date of the last search was November 2015 for all databases.

SELECTION CRITERIA

Randomised controlled clinical trials of at least two months' duration comparing insulin monotherapy with combinations of insulin with one or more oral glucose-lowering agent in people with type 2 diabetes.

DATA COLLECTION AND ANALYSIS

Two review authors independently selected trials, assessed risk of bias, extracted data and evaluated overall quality of the evidence using GRADE. We summarised data statistically if they were available, sufficiently similar and of sufficient quality. We performed statistical analyses according to the statistical guidelines in the Cochrane Handbook for Systematic Reviews of Interventions.

MAIN RESULTS

We included 37 trials with 40 treatment comparisons involving 3227 participants. The duration of the interventions ranged from 2 to 12 months for parallel trials and two to four months for cross-over trials.The majority of trials had an unclear risk of bias in several risk of bias domains. Fourteen trials showed a high risk of bias, mainly for performance and detection bias. Insulin monotherapy, including once-daily long-acting, once-daily intermediate-acting, twice-daily premixed insulin, and basal-bolus regimens (multiple injections), was compared to insulin in combination with sulphonylureas (17 comparisons: glibenclamide = 11, glipizide = 2, tolazamide = 2, gliclazide = 1, glimepiride = 1), metformin (11 comparisons), pioglitazone (four comparisons), alpha-glucosidase inhibitors (four comparisons: acarbose = 3, miglitol = 1), dipeptidyl peptidase-4 inhibitors (DPP-4 inhibitors) (three comparisons: vildagliptin = 1, sitagliptin = 1, saxagliptin = 1) and the combination of metformin and glimepiride (one comparison). No trials assessed all-cause mortality, diabetes-related morbidity or health-related quality of life. Only one trial assessed patients' treatment satisfaction and showed no substantial differences between the addition of either glimepiride or metformin and glimepiride to insulin compared with insulin monotherapy.Insulin-sulphonylurea combination therapy (CT) compared with insulin monotherapy (IM) showed a MD in glycosylated haemoglobin A1c (HbA1c) of -1% (95% confidence interval (CI) -1.6 to -0.5); P < 0.01; 316 participants; 9 trials; low-quality evidence. Insulin-metformin CT compared with IM showed a MD in HbA1c of -0.9% (95% CI -1.2 to -0.5); P < 0.01; 698 participants; 9 trials; low-quality evidence. We could not pool the results of adding pioglitazone to insulin. Insulin combined with alpha-glucosidase inhibitors compared with IM showed a MD in HbA1c of -0.4% (95% CI -0.5 to -0.2); P < 0.01; 448 participants; 3 trials; low-quality evidence). Insulin combined with DPP-4 inhibitors compared with IM showed a MD in HbA1c of -0.4% (95% CI -0.5 to -0.4); P < 0.01; 265 participants; 2 trials; low quality evidence. In most trials the participants with CT needed less insulin, whereas insulin requirements increased or remained stable in participants with IM.We did not perform a meta-analysis for hypoglycaemic events because the included studies used different definitions.. In most trials the insulin-sulphonylurea combination resulted in a higher number of mild episodes of hypoglycaemia, compared to the IM group (range: 2.2 to 6.1 episodes per participant in CT versus 2.0 to 2.6 episodes per participant in IM; low-quality evidence). Pioglitazone CT also resulted in more mild to moderate hypoglycaemic episodes compared with IM (range 15 to 90 episodes versus 9 to 75 episodes, respectively; low-quality evidence. The trials that reported hypoglycaemic episodes in the other combinations found comparable numbers of mild to moderate hypoglycaemic events (low-quality evidence).The addition of sulphonylureas resulted in an additional weight gain of 0.4 kg to 1.9 kg versus -0.8 kg to 2.1 kg in the IM group (220 participants; 7 trials; low-quality evidence). Pioglitazone CT caused more weight gain compared to IM: MD 3.8 kg (95% CI 3.0 to 4.6); P < 0.01; 288 participants; 2 trials; low-quality evidence. Metformin CT was associated with weight loss: MD -2.1 kg (95% CI -3.2 to -1.1), P < 0.01; 615 participants; 7 trials; low-quality evidence). DPP-4 inhibitors CT showed weight gain of -0.7 to 1.3 kg versus 0.6 to 1.1 kg in the IM group (362 participants; 2 trials; low-quality evidence). Alpha-glucosidase CT compared to IM showed a MD of -0.5 kg (95% CI -1.2 to 0.3); P = 0.26; 241 participants; 2 trials; low-quality evidence.Users of metformin CT (range 7% to 67% versus 5% to 16%), and alpha-glucosidase inhibitors CT (14% to 75% versus 4% to 35%) experienced more gastro-intestinal adverse effects compared to participants on IM. Two trials reported a higher frequency of oedema with the use of pioglitazone CT (range: 16% to 18% versus 4% to 7% IM).

AUTHORS' CONCLUSIONS

The addition of all oral glucose-lowering agents in people with type 2 diabetes and inadequate glycaemic control who are on insulin therapy has positive effects on glycaemic control and insulin requirements. The addition of sulphonylureas results in more hypoglycaemic events. Additional weight gain can only be avoided by adding metformin to insulin. Other well-known adverse effects of oral glucose-lowering agents have to be taken into account when prescribing oral glucose-lowering agents in addition to insulin therapy.

Utilization study of antidiabetic agents in a teaching hospital of Sikkim and adherence to current standard treatment guidelines

Objective:

Diabetes has gradually emerged as one of the most serious public health problems in our country. This underlines the need for timely disease detection and decisive therapeutic intervention. This prospective cross-sectional observational study aims at analyzing the utilization pattern of antidiabetic agents in a remote North-East Indian tertiary care teaching hospital in the perspective of current standard treatment guidelines.

Materials and Methods:

Diabetic patients receiving antidiabetic medication, both as outpatients and inpatients in our hospital over a period of 12 months (May 2013–May 2014), were included in this study. The data obtained were sorted and analyzed on the basis of gender, type of therapy, and hospital setting.

Results:

A total of 310 patients were included in the study. Metformin was the single most frequently prescribed antidiabetic agent (66.8%) followed by the sulfonylureas group (37.4%). Insulin was prescribed in 23.2% of the patients. Combination antidiabetic drug therapy (65.1%) was used more frequently than monotherapy (34.8%). The use of biguanides (P < 0.0001) and sulfonylureas (P = 0.02) in combination was significant as compared to their use as monotherapy. A total of 48% of all antidiabetic combinations used, comprised metformin and sulfonylureas (n = 96). Insulin use was significantly higher as monotherapy and in inpatients (P < 0.0001). The utilization of drugs from the National List of Essential Medicines was 51.2%, while 11% of antidiabetics were prescribed by generic name.

Conclusion:

The pattern of utilization largely conforms to the current standard treatment guidelines. Increased use of generic drugs is an area with scope for improvement.

Efficacy and safety of linagliptin as add-on therapy to basal insulin and metformin in people with Type 2 diabetes

AIM

To evaluate the efficacy and safety of linagliptin in people with Type 2 diabetes inadequately controlled on basal insulin and metformin.

METHODS

This was a post hoc subanalysis of participants who received basal insulin and metformin in a global phase III study that randomized participants (1:1) to receive linagliptin 5 mg once daily or placebo for ≥52 weeks as add-on therapy to basal insulin alone or in combination with metformin and/or pioglitazone. During the first 24 weeks, the background dose of basal insulin remained stable; thereafter, adjustments based on glucose concentrations were recommended. The primary endpoint of the subanalysis was the change from baseline in HbA1c after 24 weeks. The safety analysis incorporated data up to a maximum of 110 weeks.

RESULTS

A total of 950 participants receiving background insulin and metformin were included in this subanalysis (linagliptin and placebo, both n = 475). At week 24, the placebo-corrected adjusted mean (±se) change from baseline in HbA1c with linagliptin was -7 (±1) mmol/mol [-0.7 (±0.1) %; 95% CI -0.8, -0.6; P < 0.0001]. The overall frequency of drug-related adverse events (linagliptin, 18.9%; placebo, 21.9%) and investigator-reported hypoglycaemia (linagliptin, 30.7%; placebo, 31.6%) were similar in both groups at the end of treatment. The frequency of severe hypoglycaemia was low (linagliptin, 1.7%; placebo, 0.8%). No meaningful changes in mean (±sd) body weight were noted in either group [week 52: linagliptin, -0.5 (±3.2) kg; placebo, 0.0 (±3.1) kg].

CONCLUSIONS

Linagliptin added to basal insulin and metformin improved glycaemic control, without increasing the risk of hypoglycaemia or body weight gain.

Sustained efficacy of insulin pump therapy compared with multiple daily injections in type 2 diabetes: 12-month data from the OpT2mise randomized trial

AIMS

To compare insulin pump therapy and multiple daily injections (MDI) in patients with type 2 diabetes receiving basal and prandial insulin analogues.

METHODS

After a 2-month dose-optimization period, 331 patients with glycated haemoglobin (HbA1c) levels ≥8.0% and ≤12% were randomized to pump therapy or continued MDI for 6 months [randomization phase (RP)]. The MDI group was subsequently switched to pump therapy during a 6-month continuation phase (CP). The primary endpoint was the between-group difference in change in mean HbA1c from baseline to the end of the RP.

RESULTS

The mean HbA1c at baseline was 9% in both groups. At the end of the RP, the reduction in HbA1c was significantly greater with pump therapy than with MDI (-1.1 ± 1.2% vs -0.4 ± 1.1%; p < 0.001). The pump therapy group maintained this improvement to 12 months while the MDI group, which was switched to pump therapy, showed a 0.8% reduction: the final HbA1c level was identical in both arms. In the RP, total daily insulin dose (TDD) was 20.4% lower with pump therapy than with MDI and remained stable in the CP. The MDI-pump group showed a 19% decline in TDD, such that by 12 months TDD was equivalent in both groups. There were no differences in weight gain or ketoacidosis between groups. In the CP, one patient in each group experienced severe hypoglycaemia.

CONCLUSIONS

Pump therapy has a sustained durable effect on glycaemic control in uncontrolled type 2 diabetes.

Treatment Approach to Patients With Severe Insulin Resistance

In Brief Patients with severe insulin resistance require >2 units/kg of body weight or 200 units/day of insulin. Yet, many patients do not achieve glycemic targets despite using very high doses of insulin. Insulin can cause weight gain, which further contributes to worsening insulin resistance. This article describes the pharmacological options for managing patients with severe insulin resistance, including the use of U-500 insulin and newer agents in combination with insulin.

Metformin Protects Kidney Cells From Insulin-Mediated Genotoxicity In Vitro and in Male Zucker Diabetic Fatty Rats

Hyperinsulinemia is thought to enhance cancer risk. A possible mechanism is induction of oxidative stress and DNA damage by insulin, Here, the effect of a combination of metformin with insulin was investigated in vitro and in vivo. The rationales for this were the reported antioxidative properties of metformin and the aim to gain further insights into the mechanisms responsible for protecting the genome from insulin-mediated oxidative stress and damage. The comet assay, a micronucleus frequency test, and a mammalian gene mutation assay were used to evaluate the DNA damage produced by insulin alone or in combination with metformin. For analysis of antioxidant activity, oxidative stress, and mitochondrial disturbances, the cell-free ferric reducing antioxidant power assay, the superoxide-sensitive dye dihydroethidium, and the mitochondrial membrane potential-sensitive dye 5,5',6,6'tetrachloro-1,1',3,3'-tetraethylbenzimidazol-carbocyanine iodide were applied. Accumulation of p53 and pAKT were analyzed. As an in vivo model, hyperinsulinemic Zucker diabetic fatty rats, additionally exposed to insulin during a hyperinsulinemic-euglycemic clamp, were treated with metformin. In the rat kidney samples, dihydroethidium staining, p53 and pAKT analysis, and quantification of the oxidized DNA base 8-oxo-7,8-dihydro-2'-deoxyguanosine were performed. Metformin did not show intrinsic antioxidant activity in the cell-free assay, but protected cultured cells from insulin-mediated oxidative stress, DNA damage, and mutation. Treatment of the rats with metformin protected their kidneys from oxidative stress and genomic damage induced by hyperinsulinemia. Metformin may protect patients from genomic damage induced by elevated insulin levels. This may support efforts to reduce the elevated cancer risk that is associated with hyperinsulinemia.

New forms of insulin and insulin therapies for the treatment of type 2 diabetes

Insulin is a common treatment option for many patients with type 2 diabetes, and is generally used late in the natural history of the disease. Its injectable delivery mode, propensity for weight gain and hypoglycaemia, and the paucity of trials assessing the risk-to-safety ratio of early insulin use are major shortcomings associated with its use in patients with type 2 diabetes. Development of new insulins-such as insulin analogues, including long-acting and short-acting insulins-now provide alternative treatment options to human insulin. These novel insulin formulations and innovative insulin delivery methods, such as oral or inhaled insulin, have been developed with the aim to reduce insulin-associated hypoglycaemia, lower intraindividual pharmacokinetic and pharmacodynamic variability, and improve imitation of physiological insulin release. Availability of newer glucose-lowering drugs (such as glucagon-like peptide-1 receptor agonists, dipeptidyl peptidase-4 inhibitors, and sodium-glucose co-transporter-2 inhibitors) also offers the opportunity for combination treatment; the results of the first trials in this area of research suggest that such treatment might lead to use of reduced insulin doses, less weight gain, and fewer hypoglycaemic episodes than insulin treatment alone. These and future developments will hopefully offer better opportunities for individualisation of insulin treatment for patients with type 2 diabetes.

Successful pregnancy outcomes in a patient with type A insulin resistance syndrome

BACKGROUND

The management of severe insulin resistance during pregnancy is challenging because of the increased risk of perinatal complications for both mother and fetus. We describe two consecutive pregnancies in a patient with severe insulin resistance caused by a mutation in the β subunit of the insulin receptor.

CASE REPORT

A non-obese Japanese woman was diagnosed as having diabetes mellitus during her first pregnancy at age 31 years. She presented at 6 weeks' gestation with a fasting plasma glucose concentration of 15.1 mmol/l and an HbA(1c) level of 95 mmol/mol (10.8%). Fasting insulin concentration was high at 68.8 μU/ml, suggesting severe insulin resistance. Anti-insulin and insulin-receptor antibodies were both negative. Genetic analysis revealed an in-frame heterozygous deletion mutation (∆Leu(999)) in the insulin receptor gene. Despite large daily doses (up to 480 units per day) of insulin aspart and isophane, the patient's postprandial plasma glucose level exceeded 11.1 mmol/l. In the patient's second pregnancy, the addition of metformin at a dose of 2250 mg per day achieved tighter glycaemic control, with lower doses of insulin lispro and isophane (up to 174 units/day). Both newborns, who were found to carry the same mutation, were small for gestational age and developed transient hypoglycaemia after birth.

CONCLUSION

Adding metformin to the conventional insulin regimen effectively achieved tight glycaemic control with a lower dose of insulin. The mutation of the insulin receptor gene might underlie the intrauterine growth retardation of the newborns. To our knowledge, this is the first report of successful management of diabetes mellitus in a pregnant woman with type A insulin resistance syndrome.

Current and Emerging Treatment Options in Diabetes Care

Diabetes constitutes an increasing threat to human health, particularly in newly industrialized and densely populated countries. Type 1 and type 2 diabetes arise from different etiologies but lead to similar metabolic derangements constituted by an absolute or relative lack of insulin that results in elevated plasma glucose. In the last three decades, a set of new medicines built upon a deeper understanding of physiology and diabetic pathology have emerged to enhance the clinical management of the disease and related disorders. Recent insights into insulin-dependent and insulin-independent molecular events have accelerated the generation of a series of novel medicinal agents, which hold the promise for further advances in the management of diabetes. In this chapter, we provide a historical context for what has been accomplished to provide perspective for future research and novel emerging treatment options.

Insulin pump treatment compared with multiple daily injections for treatment of type 2 diabetes (OpT2mise): a randomised open-label controlled trial

BACKGROUND

Many patients with advanced type 2 diabetes do not meet their glycated haemoglobin targets and randomised controlled studies comparing the efficacy of pump treatment and multiple daily injections for lowering glucose in insulin-treated patients have yielded inconclusive results. We aimed to resolve this uncertainty with a randomised controlled trial (OpT2mise).

METHODS

We did this multicentre, controlled trial at 36 hospitals, tertiary care centres, and referal centres in Canada, Europe, Israel, South Africa, and the USA. Patients with type 2 diabetes who had poor glycaemic control despite multiple daily injections with insulin analogues were enrolled into a 2-month dose-optimisation run-in period. After the run-in period, patients with glycated haemoglobin of 8·0-12·0% (64-108 mmol/mol) were randomly assigned (1:1) by a computer-generated randomisation sequence (block size 2 with probability 0·75 and size 4 with probability 0·25) to pump treatment or to continue with multiple daily injections. Neither patients nor investigators were masked to treatment allocation. The primary endpoint was change in mean glycated haemoglobin between baseline and end of the randomised phase for the intention-to-treat population. This study is registered with ClinicalTrials.gov, number NCT01182493.

FINDINGS

495 of 590 screened patients entered the run-in phase and 331 were randomised (168 to pump treatment, 163 to multiple daily injections). Mean glycated haemoglobin at baseline was 9% (75 mmol/mol) in both groups. At 6 months, mean glycated haemoglobin had decreased by 1·1% (SD 1·2; 12 mmol/mol, SD 13) in the pump treatment group and 0·4% (SD 1·1; 4 mmol/mol, SD 12) in the multiple daily injection group, resulting in a between-group treatment difference of -0·7% (95% CI -0·9 to -0·4; -8 mmol/mol, 95% CI -10 to -4, p<0·0001). At the end of the study, the mean total daily insulin dose was 97 units (SD 56) with pump treatment versus 122 units (SD 68) for multiple daily injections (p<0·0001), with no significant difference in bodyweight change between the two groups (1·5 kg [SD 3·5] vs 1·1 kg [3·6], p=0·322). Two diabetes-related serious adverse events (hyperglycaemia or ketosis without acidosis) resulting in hospital admission occurred in the pump treatment group compared with one in the multiple daily injection group. No ketoacidosis occurred in either group and one episode of severe hypoglycaemia occurred in the multiple daily injection group.

INTERPRETATION

In patients with poorly controlled type 2 diabetes despite using multiple daily injections of insulin, pump treatment can be considered as a safe and valuable treatment option.

FUNDING

Medtronic.

Cost effectiveness of adding dapagliflozin to insulin for the treatment of type 2 diabetes mellitus in the Netherlands

BACKGROUND AND OBJECTIVE

Many patients with type 2 diabetes mellitus (T2DM) on insulin therapy have inadequate glycaemic control. In such cases, Dutch guidelines recommend unlimited up-titration of insulin, yet in practice many patients never reach their glycaemic target. Clinical evidence shows that dapagliflozin-a highly selective sodium-glucose cotransporter 2 inhibitor-meets a need for these patients, i.e. by reducing glycated haemoglobin levels and bodyweight. We estimated the cost effectiveness and cost utility of adding dapagliflozin to insulin compared with not adding dapagliflozin in patients with T2DM who have inadequate glycaemic control while on insulin.

METHODS

The cost effectiveness of dapagliflozin was estimated using the Cardiff Diabetes Model, using direct comparative efficacy data from a randomized placebo-controlled trial (ClinicalTrials.gov identifier NCT00673231). In this trial, up-titration of insulin was allowed in case of severe glycaemic imbalance. Risk factor progression and the occurrence of future vascular events were estimated using the United Kingdom Prospective Diabetes Study 68 risk equations. Costs and utilities were derived from the literature. The analysis was conducted from the societal perspective, simulating the remaining lifetime of the patients.

RESULTS

The overall incidence of macro- and microvascular complications was lower, and life expectancy was greater (19.43 versus 19.35 life-years [LYs]) in patients receiving dapagliflozin than in those not receiving dapagliflozin. Patients in the dapagliflozin arm obtained an incremental benefit of 0.42 quality-adjusted life-years (QALYs). The lifetime incremental cost per patient in the dapagliflozin arm was €2,293, resulting in an incremental cost-effectiveness ratio of €27,779 per LY gained and an incremental cost-utility ratio of €5,502 per QALY gained. Sensitivity and scenario analyses showed that the results were insensitive to variations in modelling assumptions and input variables.

CONCLUSION

Dapagliflozin in combination with insulin was estimated to be a cost-effective treatment option for patients with T2DM whose insulin treatment regimen does not provide adequate glycaemic control in a Dutch healthcare setting.

The effect of addition of liraglutide to high-dose intensive insulin therapy: a randomized prospective trial

AIMS

Patients with type 2 diabetes and insulin resistance may require high insulin doses to control hyperglycaemia. The addition of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) to basal insulin therapy has been shown to reduce insulin requirement while reducing insulin-associated weight gain [1,2]. The effect of GLP-1 RA therapy added to intensive (basal/bolus) insulin therapy has not been studied in a prospective trial. This trial evaluated the effect of the addition of liraglutide to high-dose intensive insulin therapy compared with standard insulin up-titration in obese insulin-resistant patients with type 2 diabetes requiring high-dose insulin therapy.

METHODS

Thirty-seven subjects with type 2 diabetes requiring >100 units of insulin daily administered either by continuous subcutaneous insulin infusion (CSII) or by multiple daily injections (MDIs) with or without metformin were randomized to receive either liraglutide plus insulin (LIRA) or intensive insulin only (controls). Liraglutide was initiated at 0.6 mg subcutaneously (sq) per day and increased to either 1.2 or 1.8 mg daily in combination with intensive insulin therapy. Controls received intensive insulin up-titration only.

RESULTS

At 6 months, subjects receiving liraglutide plus insulin experienced statistically significant reductions in HbA1c, weight, insulin dose and glycaemic variability (GV) by continuous glucose monitor (CGM) compared with the control group receiving insulin only.

CONCLUSIONS

Adding liraglutide to intensive high-dose (basal/bolus) insulin therapy results in greater improvement in glycaemic control than insulin therapy alone, with additional benefits of weight loss and reduced GV.

A justification for less restrictive guidelines on the use of metformin in stable chronic renal failure

AIM

The aim was to justify less restrictive use of metformin in stable chronic renal failure, because a literature review reveals metformin is associated with a significantly lower incidence of cardiovascular events and mortality compared with other hypoglycaemic agents, and metformin-associated lactic acidosis is rare and causation uncertain. Studies on intentional metformin overdose and metformin bioavailability, renal clearance and plasma metformin in renal impairment provide evidence in support of a less restrictive use of metformin.

METHODS

In metformin overdose (n = 22), lactic acidosis was not inevitable with a plasma metformin > 40 mg/l (therapeutic level c. 1 mg/l): Severe lactic acidosis (pH ≤ 7.21, plasma lactate ≥ 11 mmol/l, n = 8) did not occur unless plasma metformin was > 40 mg/l. Plasma lactate was a more consistent predictor of pH than plasma metformin, with plasma lactate ≤ 4.7 being associated with a pH ≥ 7.34. A likely 'safe' plasma lactate is < 3.5 mmol/l and plasma metformin < 10 mg/l.

RESULTS

Plasma metformin can be predicted from estimated glomerular filtration rate and metformin dose. Reported plasma metformin in renal failure was always less than predicted plasma metformin. Predicted plasma metformin (mg/l), with an estimated glomerular filtration rate of 30 ml/min and metformin 2000 mg/day was 6.8; an estimated glomerular filtration rate of 20 ml/min and metformin 1500 mg/day was 5.1; an estimated glomerular filtration rate of 10 ml/min and metformin 500 mg/day was 4.4.

CONCLUSION

Metformin accumulates in renal failure and, although accumulation does not always lead to lactic acidosis, dose modification to achieve a predicted plasma metformin < 10 mg/l is suggested. As plasma metformin is not routinely available, plasma lactate should be useful in monitoring the use of metformin in renal failure.

Metformin decreases glycated albumin to glycated haemoglobin ratio in patients with newly diagnosed type 2 diabetes

Background

To know whether metformin improves postprandial hyperglycaemia, we examined the effect of metformin on the glycated albumin (GA) to glycated haemoglobin (HbA1c) ratio (GA/HbA1c ratio) in patients with newly diagnosed type 2 diabetes.

Methods

Metformin and lifestyle interventions were initiated in 18 patients with newly diagnosed type 2 diabetes. Metformin was titrated to 1500 mg/day or maximum-tolerated dose. HbA1c and GA were measured every four weeks up to 24 weeks.

Results

HbA1c decreased significantly from 9.0 ± 2.1% at baseline to 6.5 ± 0.9% at week 24, and GA decreased significantly from 24.3 ± 8.2% to 16.2 ± 3.1%. The GA/HbA1c ratio decreased significantly from 2.66 ± 0.37 at baseline to 2.47 ± 0.29 at week 24 ( P < 0.01), despite that the GA/HbA1c ratio reached a plateau value at week 16. The change in the GA/HbA1c ratio during 24 weeks (ΔGA/HbA1c ratio) was significantly correlated with both baseline HbA1c and GA. Moreover, the ΔGA/HbA1c ratio was significantly correlated with the change in GA during 24 weeks but not with the change in HbA1c.

Conclusions

Metformin decreased the GA/HbA1c ratio in patients with newly diagnosed type 2 diabetes. This suggests that metformin improves postprandial hyperglycaemia in patients with newly diagnosed type 2 diabetes.

Beyond BMI: the need for new guidelines governing the use of bariatric and metabolic surgery

Bariatric surgery use is largely governed worldwide by a 1991 National Institutes of Health consensus statement that advocates BMI as the primary operative criterion and restricts surgery to severely obese patients. These guidelines have been enormously valuable in standardising practice, thereby facilitating accumulation of a copious database of information regarding long-term surgical benefits and risks, from vast clinical experience and research. However, the National Institutes of Health recommendations had important limitations from the outset and are now gravely outdated. They do not account for remarkable advances in minimally invasive surgical techniques or the development of entirely new procedures. In the two decades since they were crafted, we have gained far greater understanding of the dramatic, weight-independent benefits of some operations on metabolic diseases, especially type 2 diabetes, and of the inadequacy of BMI as a primary criterion for surgical selection. Furthermore, there is now a substantial and rapidly burgeoning body of level-1 evidence from randomised trials comparing surgical versus non-surgical approaches to obesity, type 2 diabetes, and other metabolic diseases, including among only mildly obese or merely overweight patients. Herein, we present arguments to impel the development of new guidelines for the use of bariatric and so-called metabolic surgery to inform clinical practice and insurance compensation.

Combinatorial therapy discovery using mixed integer linear programming

MOTIVATION

Combinatorial therapies play increasingly important roles in combating complex diseases. Owing to the huge cost associated with experimental methods in identifying optimal drug combinations, computational approaches can provide a guide to limit the search space and reduce cost. However, few computational approaches have been developed for this purpose, and thus there is a great need of new algorithms for drug combination prediction.

RESULTS

Here we proposed to formulate the optimal combinatorial therapy problem into two complementary mathematical algorithms, Balanced Target Set Cover (BTSC) and Minimum Off-Target Set Cover (MOTSC). Given a disease gene set, BTSC seeks a balanced solution that maximizes the coverage on the disease genes and minimizes the off-target hits at the same time. MOTSC seeks a full coverage on the disease gene set while minimizing the off-target set. Through simulation, both BTSC and MOTSC demonstrated a much faster running time over exhaustive search with the same accuracy. When applied to real disease gene sets, our algorithms not only identified known drug combinations, but also predicted novel drug combinations that are worth further testing. In addition, we developed a web-based tool to allow users to iteratively search for optimal drug combinations given a user-defined gene set.

AVAILABILITY

Our tool is freely available for noncommercial use at http://www.drug.liuzlab.org/.

CONTACT

zhandong.liu@bcm.edu

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.