Alogliptin improves steroid-induced hyperglycemia in treatment-naïve Japanese patients with chronic kidney disease by decrease of plasma glucagon levels

Is It Time for a New Algorithm for the Pharmacotherapy of Steroid-Induced Diabetes?

Glucocorticoids (GS) are widely used in multiple medical indications due to their anti-inflammatory, immunosuppressive, and antiproliferative effects. Despite their effectiveness in treating respiratory, skin, joint, renal, and neoplastic diseases, they dysregulate glucose metabolism, leading to steroid-induced diabetes (SID) or a significant increase of glycemia in people with previously diagnosed diabetes. The risk of adverse event development depends on the prior therapy, the duration of the treatment, the form of the drug, and individual factors, i.e., BMI, genetics, and age. Unfortunately, SID and steroid-induced hyperglycemia (SIH) are often overlooked, because the fasting blood glucose level, which is the most commonly used diagnostic test, is insufficient for excluding both conditions. The appropriate control of post-steroid hyperglycemia remains a major challenge in everyday clinical practice. Recently, the most frequently used antidiabetic strategies have been insulin therapy with isophane insulin or multiple injections in the basal-bolus regimen. Alternatively, in patients with lower glycemia, sulphonylureas or glinides were used. Taking into account the pathogenesis of post-steroid-induced hyperglycemia, the initiation of therapy with glucagon-like peptide 1 (GLP-1) analogs and dipeptidyl peptidase 4 (DPP-4) inhibitors should be considered. In this article, we present a universal practical diagnostic algorithm of SID/SIH in patients requiring steroids, in both acute and chronic conditions, and we present a new pharmacotherapy algorithm taking into account the use of all currently available antidiabetic drugs.

11β-HSD1 inhibition in men mitigates prednisolone-induced adverse effects in a proof-of-concept randomised double-blind placebo-controlled trial

Glucocorticoids prescribed to limit inflammation, have significant adverse effects. As 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) regenerates active glucocorticoid, we investigated whether 11β-HSD1 inhibition with AZD4017 could mitigate adverse glucocorticoid effects without compromising their anti-inflammatory actions. We conducted a proof-of-concept, randomized, double-blind, placebo-controlled study at Research Unit, Churchill Hospital, Oxford, UK (NCT03111810). 32 healthy male volunteers were randomized to AZD4017 or placebo, alongside prednisolone treatment. Although the primary endpoint of the study (change in glucose disposal during a two-step hyperinsulinemic, normoglycemic clamp) wasn't met, hepatic insulin sensitivity worsened in the placebo-treated but not in the AZD4017-treated group. Protective effects of AZD4017 on markers of lipid metabolism and bone turnover were observed. Night-time blood pressure was higher in the placebo-treated but not in the AZD4017-treated group. Urinary (5aTHF+THF)/THE ratio was lower in the AZD4017-treated but remained the same in the placebo-treated group. Most anti-inflammatory actions of prednisolone persisted with AZD4017 co-treatment. Four adverse events were reported with AZD4017 and no serious adverse events. Here we show that co-administration of AZD4017 with prednisolone in men is a potential strategy to limit adverse glucocorticoid effects.

Fresh insights into glucocorticoid-induced diabetes mellitus and new therapeutic directions

Glucocorticoid hormones were discovered to have use as potent anti-inflammatory and immunosuppressive therapeutics in the 1940s and their continued use and development have successfully revolutionized the management of acute and chronic inflammatory diseases. However, long-term use of glucocorticoids is severely hampered by undesirable metabolic complications, including the development of type 2 diabetes mellitus. These effects occur due to glucocorticoid receptor activation within multiple tissues, which results in inter-organ crosstalk that increases hepatic glucose production and inhibits peripheral glucose uptake. Despite the high prevalence of glucocorticoid-induced hyperglycaemia associated with their routine clinical use, treatment protocols for optimal management of the metabolic adverse effects are lacking or underutilized. The type, dose and potency of the glucocorticoid administered dictates the choice of hypoglycaemic intervention (non-insulin or insulin therapy) that should be provided to patients. The longstanding quest to identify dissociated glucocorticoid receptor agonists to separate the hyperglycaemic complications of glucocorticoids from their therapeutically beneficial anti-inflammatory effects is ongoing, with selective glucocorticoid receptor modulators in clinical testing. Promising areas of preclinical research include new mechanisms to disrupt glucocorticoid signalling in a tissue-selective manner and the identification of novel targets that can selectively dissociate the effects of glucocorticoids. These research arms share the ultimate goal of achieving the anti-inflammatory actions of glucocorticoids without the metabolic consequences.

How should rheumatologists manage glucocorticoid-induced hyperglycemia?

Glucocorticoid-induced hyperglycemia (GIH) is an important complication to be managed by rheumatologists as it can affect morbidity and mortality of patients. Before administration of glucocorticoids, risk for the development of GIH should be assessed in every patient. A meta-analysis identified male gender, older age, family history of diabetes mellitus, current smoking history, past history of hypertension, higher body mass index, higher fasting plasma glucose (PG) and higher hemoglobin A1c (HbA1c) levels as risk factors for GIH. Then, rheumatologists need to carefully monitored PG levels including 2-h after meals because glucocorticoids particularly affect postprandial glucose metabolism. Fasting PG level ≥ 126 mg/dL and/or post-meal PG level ≥ 200 mg/dL are considered as GIH regardless of HbA1c level. Treatment strategy for GIH should center on insulin injection since the effectiveness of oral hypoglycemic agents for GIH has been uncertain. But, rheumatologists may try oral hypoglycemic agents in advance of insulin therapy for mild GIH, whereas diabetologists should be consulted in case of intractable GIH. More strict control of GIH could be possible using intensive insulin protocol. Rheumatologists are encouraged to be interested in the management of GIH for providing patients superior care, working closely with diabetologists.

Development and validation of a scoring system for prediction of insulin requirement for optimal control of blood glucose during glucocorticoid treatments

AIMS

We have developed and validated a novel scoring system to predict insulin requirement for optimal control of blood glucose during glucocorticoid (GC) treatments, by retrospective analyses of clinical parameters before GC treatment.

METHODS

Three hundred-three adults (the Developing set) undergoing their first treatment of prednisolone (PSL) were divided into two groups, depending on treatment with or without insulin. Independent risk factors for insulin requirement were identified by a stepwise logistic regression analysis after univariate analyses between the two groups. We constructed a point-addition scoring system consisting of several categories and their coefficients in each risk factor derived from another logistic regression analysis. We validated it to two validation sets, A and B.

RESULTS

Male, higher levels of fasting plasma glucose (FPG), HbA1c, and serum creatinine (CRE) and a higher initial dose of PSL were identified as the risk factors. The sensitivity, specificity, and accuracy were 90.0%, 88.1%, and 88.4%; 87.5%, 66.7%, and 70.5%; 83.3%, 76.1%, and 76.6% in the Developing set, Validation set A, and Validation set B, respectively, when the scoring system was applied.

CONCLUSIONS

The scoring system is a valid and reliable tool to predict insulin requirements in advance during GC treatment.

Optimizing the Treatment of Steroid-Induced Hyperglycemia

OBJECTIVE

To review therapeutic strategies for the management of patients with steroid-induced hyperglycemia.

DATA SOURCES

A literature search of MEDLINE/PubMed (1990 to June 2017) was conducted using the search terms steroid, glucocorticoid, corticosteroid, hyperglycemia, and diabetes as well via review of literature citations.

STUDY SELECTION AND DATA EXTRACTION

Relevant clinical trials and case studies focusing on pharmacological interventions in humans were reviewed for inclusion. Articles discussing islet cell transplant were excluded.

DATA SYNTHESIS

Hyperglycemia is a predictable adverse effect of glucocorticoid therapy, which is associated with negative outcomes, including an odds ratio of 1.36 for developing new-onset diabetes. A variety of strategies have been utilized for managing patients who are at risk of complications caused by steroid-induced hyperglycemia. Agents such as sulfonylureas, thiazolidinediones, meglitinides, metformin, dipeptidyl peptidase 4 (DPP-4) inhibitors, glucagon-like peptidase-1 agonists, and insulin have been evaluated in case studies and small clinical trials with varying degrees of success.

CONCLUSIONS

Since there are limited clinical data available to guide therapy, strategies that minimize the risk of adverse effects should be selected for the management of steroid-induced hyperglycemia. Therapies that may be safe and effective given current information include DPP-4 inhibitors, metformin, and weight-based neutral protamine Hagedorn insulin.

Application of pharmacometric approaches to evaluate effect of weight and renal function on pharmacokinetics of alogliptin

AIMS

The aims of the study were to characterize the pharmacokinetics (PK) of alogliptin in healthy and type 2 diabetes mellitus (T2DM) subjects using a population PK approach and to assess the influence of various covariates on alogliptin exposure.

METHODS

Plasma concentration data collected from two phase 1 studies and one phase 3 study following administration of alogliptin (12.5-400 mg) were used for the PK model development. One- and two-compartment models were evaluated as base structural PK models. The impact of selected covariates was assessed using stepwise forward selection and backward elimination procedures. The predictability and robustness of the final model was evaluated using visual predictive check and bootstrap analyses. The final model was used to perform simulations and guide appropriate dose adjustments.

RESULTS

A two-compartment model with first-order absorption and elimination best described the alogliptin concentration vs. time profiles. Creatinine clearance and weight had a statistically significant effect on the oral clearance (CL/F) of alogliptin. The model predicted a lower CL/F (17%, 35%, 80%) and a higher systemic exposure (56%, 89%, 339%) for subjects with mild, moderate and severe renal impairment, respectively, compared with healthy subjects. Effect of weight on CL/F was not considered clinically relevant. Simulations at different doses of alogliptin support the approved doses of 12.5 mg and 6.25 mg for patients with moderate and severe renal impairment, respectively.

CONCLUSIONS

The PK of alogliptin was well characterized by the model. The analysis suggested an alogliptin dose adjustment for subjects with moderate-to-severe renal impairment and no dose adjustments based on weight.

Pharmacokinetics and clinical use of incretin-based therapies in patients with chronic kidney disease and type 2 diabetes

The prevalence of chronic kidney disease (CKD) of stages 3-5 (glomerular filtration rate [GFR] <60 mL/min) is about 25-30 % in patients with type 2 diabetes mellitus (T2DM). While most oral antidiabetic agents have limitations in patients with CKD, incretin-based therapies are increasingly used for the management of T2DM. This review analyses (1) the influence of CKD on the pharmacokinetics of dipeptidyl peptidase-4 (DPP-4) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists; and (2) the efficacy/safety profile of these agents in clinical practice when prescribed in patients with both T2DM and CKD. Most DPP-4 inhibitors (sitagliptin, vildagliptin, saxagliptin, alogliptin) are predominantly excreted by the kidneys. Thereby, pharmacokinetic studies showed that total exposure to the drug is increased in proportion to the decline of GFR, leading to recommendations for appropriate dose reductions according to the severity of CKD. In these conditions, clinical studies reported a good efficacy and safety profile in patients with CKD. In contrast, linagliptin is eliminated by a predominantly hepatobiliary route. As a pharmacokinetic study showed only minimal influence of decreased GFR on total exposure, no dose adjustment of linagliptin is required in the case of CKD. The experience with GLP-1 receptor agonists in patients with CKD is more limited. Exenatide is eliminated by renal mechanisms and should not be given in patients with severe CKD. Liraglutide is not eliminated by the kidney, but it should be used with caution because of the limited experience in patients with CKD. Only limited pharmacokinetic data are also available for lixisenatide, exenatide long-acting release (LAR) and other once-weekly GLP-1 receptor agonists in current development. Several case reports of acute renal failure have been described with GLP-1 receptor agonists, probably triggered by dehydration resulting from gastrointestinal adverse events. However, increasing GLP-1 may also exert favourable renal effects that could contribute to reducing the risk of diabetic nephropathy. In conclusion, the already large reassuring experience with DPP-4 inhibitors in patients with CKD offers new opportunities to the clinician, whereas more caution is required with GLP-1 receptor agonists because of the limited experience in this population.

Association between Serum Fructosamine and Kidney Function in Nondiabetic Individuals without Chronic Kidney Disease

Background

Serum fructosamine (SF) has been considered to be an indicator that estimates glycemic control in patients with diabetes mellitus (DM). There is increasing evidence that SF concentration and oxidative stress are significantly elevated in patients with chronic kidney disease (CKD). However, the data about SF and its association with kidney function are lacking in nondiabetic individuals without CKD. We included 1891 nondiabetic individuals who had not been diagnosed with CKD to determine the association between SF and kidney function.

Material/Methods

We conducted a retrospective analysis on the basis of the biochemistry database in nondiabetic individuals without CKD.

Results

When eligible participants were stratified in accordance with SF quartiles, from the bottom to the top quartile of SF, a significant decrease of estimated glomerular filtration rate (GFR) was observed in baseline data. SF concentration was negatively associated with estimated GFR (r=−0.066, P=0.004) in the Pearson correlation analysis. Estimated GFR was associated with SF levels independently of glucose (GLU), total cholesterol (TC), triglyceride (TG), and total protein (TP) in multivariable logistic regression analysis (OR=0.984; CI 95% 0.977–0.991; P<0.001).

Conclusions

We suggest that mild elevation of SF concentration is associated with estimated GFR in nondiabetic individuals without CKD. These findings indicate that SF may underlie CKD in nondiabetic individuals.

Glucocorticoids decrease the production of glucagon-like peptide-1 at the transcriptional level in intestinal L-cells

Glucocorticoids are widely used as anti-inflammatory or immunosuppressive drugs, but often induce hyperglycemia as a side effect. Glucagon-like peptide-1 (GLP-1) is secreted from intestinal L cells and plays crucial roles in maintaining glucose homeostasis. However, the direct effects of glucocorticoids on the GLP-1 production pathway in L cells remain unclear. We investigated the effects of glucocorticoids on GLP-1 production in vitro and in vivo. In L cell lines, glucocorticoids decreased GLP-1 release and expression of the precursor, proglucagon, at protein and mRNA levels, which were inhibited by mifepristone. The administration of dexamethasone or budesonide to mice significantly decreased the mRNA expression of proglucagon in the ileum and partially decreased glucose-stimulated GLP-1 secretion. Compound A, a dissociated glucocorticoid receptor modulator, did not affect the expression of proglucagon in vitro. These results suggested that glucocorticoids directly reduced GLP-1 production at the transcriptional level in L cells through a glucocorticoid receptor dimerization-dependent mechanism.

Effects of 6-month sitagliptin treatment on metabolic parameters in diabetic patients taking oral glucocorticoids: a retrospective cohort study

Background

There are no guidelines for the treatment of diabetes in patients taking glucocorticoids. We studied to understand the effects of 6-month treatment with sitagliptin on metabolic parameters in diabetic patients taking glucocorticoids.

Methods

We retrospectively picked up patients who had been prescribed sitagliptin for 6 months during the continuous prescription of oral glucocorticoids between October 2010 and October 2013 by a chart-based analysis, and compared the data before the sitagliptin treatment with the data at 6 months after the sitagliptin treatment started.

Results

Fifteen patients were eligible for the analyses in our study. The plasma glucose and HbA1c levels were significantly reduced by the sitagliptin treatment. Furthermore, body weight significantly decreased. We found a significant and inverse correlation between the change in HbA1c levels and HbA1c levels at baseline. However, there was no significant correlation between the change in HbA1c levels and the daily glucocorticoid dose at baseline.

Conclusions

The present study demonstrated that sitagliptin significantly reduced plasma glucose, HbA1c and body weight. Further, sitagliptin was more effective to improve glycemic control in patients taking glucocorticoids with higher HbA1c levels, independently of the daily glucocorticoid dose.