We can change the natural history of type 2 diabetes

Nuclear magnetic resonance-based metabolomics with machine learning for predicting progression from prediabetes to diabetes

Background

Identification of individuals with prediabetes who are at high risk of developing diabetes allows for precise interventions. We aimed to determine the role of nuclear magnetic resonance (NMR)-based metabolomic signature in predicting the progression from prediabetes to diabetes.

Methods

This prospective study included 13,489 participants with prediabetes who had metabolomic data from the UK Biobank. Circulating metabolites were quantified via NMR spectroscopy. Cox proportional hazard (CPH) models were performed to estimate the associations between metabolites and diabetes risk. Supporting vector machine, random forest, and extreme gradient boosting were used to select the optimal metabolite panel for prediction. CPH and random survival forest (RSF) models were utilized to validate the predictive ability of the metabolites.

Results

During a median follow-up of 13.6 years, 2525 participants developed diabetes. After adjusting for covariates, 94 of 168 metabolites were associated with risk of progression to diabetes. A panel of nine metabolites, selected by all three machine-learning algorithms, was found to significantly improve diabetes risk prediction beyond conventional risk factors in the CPH model (area under the receiver-operating characteristic curve, 1 year: 0.823 for risk factors + metabolites vs 0.759 for risk factors, 5 years: 0.830 vs 0.798, 10 years: 0.801 vs 0.776, all p < 0.05). Similar results were observed from the RSF model. Categorization of participants according to the predicted value thresholds revealed distinct cumulative risk of diabetes.

Conclusions

Our study lends support for use of the metabolite markers to help determine individuals with prediabetes who are at high risk of progressing to diabetes and inform targeted and efficient interventions.

Funding

Shanghai Municipal Health Commission (2022XD017). Innovative Research Team of High-level Local Universities in Shanghai (SHSMU-ZDCX20212501). Shanghai Municipal Human Resources and Social Security Bureau (2020074). Clinical Research Plan of Shanghai Hospital Development Center (SHDC2020CR4006). Science and Technology Commission of Shanghai Municipality (22015810500).

Relationship between Marriage and Prediabetes among Healthcare Workers: Mediating Effect of Triglycerides

Background and Objectives: In the literature, relationships between being married and having prediabetes or diabetes are inconsistent. We aimed to investigate whether marriage is a protective or risk factor for prediabetes and to uncover new insights into its impact on prediabetes. Materials and Methods: In this cross-sectional observational study, questionnaires were distributed by email to 1039 staff members who participated in an employee health check from a hospital affiliated with a medical university in Taiwan. Fasting blood glucose and triglyceride (TG) levels were checked and the questionnaires elicited basic demographic characteristics and included the Copenhagen Burnout Inventory and Nordic Musculoskeletal Questionnaire. The chi-square test or Fisher's exact test, logistic regression, and mediation analysis were conducted for statistical analysis. Results: Among the group aged 20-37 years, married (OR = 1.89, 95%CI: 1.08, 3.33), obesity (OR = 2.95, 95%CI: 1.49, 5.83), neck and shoulder pain (OR = 1.31, 95%CI: 1.01, 1.69), and elevated TG levels (OR = 1.01, 95%CI: 1.00, 1.01) were independent risk factors for prediabetes (impaired fasting glucose). For those >38 years old, overweight (OR = 2.08, 95%CI: 1.27, 3.43), obesity (OR = 4.30, 95%CI: 2.38, 7.79), and elevated triglyceride (TG) (OR = 1.003, 95%CI: 1.00, 1.01) were the independent risk factors for impaired fasting glucose. Increased TG levels serve as a mediating factor (Zm = 2.64, p < 0.01) linking marriage to an increased risk of prediabetes for the group aged 20-37 years. Conclusions: TGs play a significant role in the association between marriage and prediabetes among the group aged 20-37 years. Therefore, dietary habits, especially those of young adult couples should be considered. Our findings connect marital status to prediabetes, facilitating advances in diabetes prevention.

Diabetes Management Based on the Phenotype and Stage of the Disease: An Expert Proposal from the AGORA Diabetes Collaborative Group

Diabetes is a complex and rapidly growing disease with heterogeneous clinical presentations. Recent advances in molecular and genetic technologies have led to the identification of various subtypes of diabetes. These advancements offer the potential for a more precise, individualized approach to treatment, known as precision medicine. Recognizing high-risk phenotypes and intervening early and intensively is crucial. A staging system for type 1 diabetes has been proposed and accepted globally. In this article, we will explore the different methods for categorizing and classifying type 2 diabetes (T2D) based on clinical characteristics, progression patterns, risk of complications, and the use of molecular techniques for patient grouping. We, as a team of experts, will also present an easy-to-follow treatment plan and guidance for non-specialists, particularly primary care physicians, that integrates the classification and staging of diabetes. This will help ensure that the most suitable therapy is applied to the different types of T2D at each stage of the disease's progression.

Comprehensive Evidence-Based Health Maintenance

The potential of primary prevention to prevent, delay, or ameliorate disease is immense. However, the total spending on preventive services in the United States remains astoundingly small and represents a meager 3.5% of total health care spending. Moreover, training focused on prevention in medical schools is often neglected, and time-constrained primary providers frequently omit effective preventive and early detection measures, or perform them perfunctorily. Indeed, preventable conditions of serious consequences including "premature" mortality, cardiovascular events, and major organ failure are ubiquitous with the global obesity and diabetes epidemics, and the ongoing high prevalence of noxious habits and drug abuse. Although each aspect has been the subject of extensive research, a succinct evidence-based summary is scarce. We have conducted a review of high-quality evidence (systematic reviews, meta-analyses, and practice guidelines) over the last 20 years to extract the best updated recommendations on comprehensive disease prevention and approved screening, briefly citing significant risk reductions by lifestyle interventions, pharmacological prevention, cancer screening, other endorsed screening, immunizations, and issues in the patient-provider interface.

Effect of Early Time-Restricted Eating on Metabolic Markers and Body Composition in Individuals with Overweight or Obesity

This study aimed to evaluate the effect of early time-restricted eating (eTRE) on metabolic markers and body composition in individuals with overweight or obesity. Seventeen subjects completed a randomized, crossover, and controlled clinical trial. Twelve women and five men participated, with a mean age of 25.8 ± 10.0 years and a BMI of 32.0 ± 6.3 kg/m2. The eTRE intervention included 16 h of fasting (3:00 pm to 7:00 am) and 8 h of ad libitum eating (7:00 am to 03:00 pm) (16:8). The trial included four weeks of interventions followed by a four-week washout period. Body weight, waist and hip circumferences, and body composition measurements were taken. Additionally, a venous blood sample was collected for biochemical determinations. In a before-after analysis, eTRE induced a reduction in BW and BMI in women but this was not significant when compared to the control group. eTRE did not modify any other anthropometric measurements, fasting biochemical parameters, glycemic and insulinemic responses, blood pressure, or subjective appetite. In conclusion, eTRE did not induce beneficial effects on the glycemic and lipid metabolisms, body composition, subjective appetite, or blood pressure. These findings may be attributed to the special characteristics of the population and the short intervention period.

Association of Baseline Factors With Glycemic Outcomes in GRADE: A Comparative Effectiveness Randomized Clinical Trial

OBJECTIVE

To describe the individual and joint associations of baseline factors with glycemia, and also with differential effectiveness of medications added to metformin.

RESEARCH DESIGN AND METHODS

Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) participants (with type 2 diabetes diagnosed for <10 years, on metformin, and with HbA1c 6.8-8.5%; N = 5,047) were randomly assigned to a basal insulin (glargine), sulfonylurea (glimepiride), glucagon-like peptide 1 agonist (liraglutide), or dipeptidyl peptidase 4 inhibitor (sitagliptin). The glycemic outcome was HbA1c ≥7.0%, subsequently confirmed. Univariate and multivariate regression and classification and regression tree (CART) analyses were used to assess the association of baseline factors with the glycemic outcome at years 1 and 4.

RESULTS

In univariate analyses at baseline, younger age (<58 years), Hispanic ethnicity, higher HbA1c, fasting glucose, and triglyceride levels, lower insulin secretion, and relatively greater insulin resistance were associated with the glycemic outcome at years 1 and/or 4. No factors were associated with differential effectiveness of the medications by year 4. In multivariate analyses, treatment group, younger age, and higher baseline HbA1c and fasting glucose were jointly associated with the glycemic outcome by year 4. The superiority of glargine and liraglutide at year 4 persisted after multiple baseline factors were controlled for. CART analyses indicated that failure to maintain HbA1c <7% by year 4 was more likely for younger participants and those with baseline HbA1c ≥7.4%.

CONCLUSIONS

Several baseline factors were associated with the glycemic outcome but not with differential effectiveness of the four medications. Failure to maintain HbA1c <7% was largely driven by younger age and higher HbA1c at baseline. Factors that predict earlier glycemic deterioration could help in targeting patients for more aggressive management.

Fat-to-blood recirculation of partially dysfunctional PD-1+CD4 Tconv cells is associated with dysglycemia in human obesity

Obesity is characterized by the accumulation of T cells in insulin-sensitive tissues, including the visceral adipose tissue (VAT), that can interfere with the insulin signaling pathway eventually leading to insulin resistance (IR) and type 2 diabetes. Here, we found that PD-1+CD4 conventional T (Tconv) cells, endowed with a transcriptomic and functional profile of partially dysfunctional cells, are diminished in VAT of obese patients with dysglycemia (OB-Dys), without a concomitant increase in apoptosis. These cells showed enhanced capacity to recirculate into the bloodstream and had a non-restricted TCRβ repertoire divergent from that of normoglycemic obese and lean individuals. PD-1+CD4 Tconv were reduced in the circulation of OB-Dys, exhibited an altered migration potential, and were detected in the liver of patients with non-alcoholic steatohepatitis. The findings suggest a potential role for partially dysfunctional PD-1+CD4 Tconv cells as inter-organ mediators of IR in obese patients with dysglycemic.

Label-free optical metabolic imaging of adipose tissues for prediabetes diagnosis

Rationale: Prediabetes can be reversed through lifestyle intervention, but its main pathologic hallmark, insulin resistance (IR), cannot be detected as conveniently as blood glucose testing. In consequence, the diagnosis of prediabetes is often delayed until patients have hyperglycemia. Therefore, developing a less invasive diagnostic method for rapid IR evaluation will contribute to the prognosis of prediabetes. Adipose tissue is an endocrine organ that plays a crucial role in the development and progression of prediabetes. Label-free visualizing the prediabetic microenvironment of adipose tissues provides a less invasive alternative for the characterization of IR and inflammatory pathology. Methods: Here, we successfully identified the differentiable features of prediabetic adipose tissues by employing the metabolic imaging of three endogenous fluorophores NAD(P)H, FAD, and lipofuscin-like pigments. Results: We discovered that 1040-nm excited lipofuscin-like autofluorescence could mark the location of macrophages. This unique feature helps separate the metabolic fluorescence signals of macrophages from those of adipocytes. In prediabetes fat tissues with IR, we found only adipocytes exhibited a low redox ratio of metabolic fluorescence and high free NAD(P)H fraction a₁. This differential signature disappears for mice who quit the high-fat diet or high-fat-high-sucrose diet and recover from IR. When mice have diabetic hyperglycemia and inflamed fat tissues, both adipocytes and macrophages possess this kind of metabolic change. As confirmed with RNA-seq analysis and histopathology evidence, the change in adipocyte's metabolic fluorescence could be an indicator or risk factor of prediabetic IR. Conclusion: Our study provides an innovative approach to diagnosing prediabetes, which sheds light on the strategy for diabetes prevention.

Revisiting the high-fat diet/low streptozotocin prediabetic rat model: A bioanalytical adjustment

Insulin resistance (IR) is the main feature of prediabetes (PD), which ultimately leads to diabetes. High-dose streptozotocin-treated rodents often show irreversible β-cell mass loss and function, leaving the premorbid diabetic state (PD/IR) unnoticed. This study aimed to re-evaluate the synergistic/independent effect of a sub-chronic consumption (1-5 weeks) of a high-fat diet (60% gross energy from fat, 3.8 kcal.g^-1) with [PD/IR-2 (week 2) to PD/IR-5 week five)] or without [HFD-5 (week five)] a single intraperitoneal dose (35 mg.kg^-1) of streptozotocin in Wistar rats. Bioassay performance and clinical/histological features suggesting PD/IR or diabetes, were documented weekly and compared to standard chow-fed (3.5 kcal.g^-1) rats (healthy controls, HC). PD/IR1-5 (fed with HFD for 1 to 5 weeks plus a single dose of streptozotocin) and HFD-5 (just fed with HFD for 5 weeks) groups reduced their food intake yet gained more body weight than HC. Groups exhibited hyperglycemia, dyslipidemia, and impaired glucose tolerance in decreasing order as follows: PD/IR-5, PD/IR-4, HFD-5, PD/IR-2-3, and HC. Histological disturbances in the pancreas, Soleus muscle, and liver were mostly observed in HFD-5 and PD/IR4-5 groups. HFD administration for 4 weeks white a single moderate dose of streptozotocin four days before sacrifice, leads to a convenient PD/IR rat model.

Metabolic Impact of Frailty Changes Diabetes Trajectory

Diabetes mellitus prevalence increases with increasing age. In older people with diabetes, frailty is a newly emerging and significant complication. Frailty induces body composition changes that influence the metabolic state and affect diabetes trajectory. Frailty appears to have a wide metabolic spectrum, which can present with an anorexic malnourished phenotype and a sarcopenic obese phenotype. The sarcopenic obese phenotype individuals have significant loss of muscle mass and increased visceral fat. This phenotype is characterised by increased insulin resistance and a synergistic increase in the cardiovascular risk more than that induced by obesity or sarcopenia alone. Therefore, in this phenotype, the trajectory of diabetes is accelerated, which needs further intensification of hypoglycaemic therapy and a focus on cardiovascular risk reduction. Anorexic malnourished individuals have significant weight loss and reduced insulin resistance. In this phenotype, the trajectory of diabetes is decelerated, which needs deintensification of hypoglycaemic therapy and a focus on symptom control and quality of life. In the sarcopenic obese phenotype, the early use of sodium-glucose transporter-2 inhibitors and glucagon-like peptide-1 receptor agonists is reasonable due to their weight loss and cardio-renal protection properties. In the malnourished anorexic phenotype, the early use of long-acting insulin analogues is reasonable due to their weight gain and anabolic properties, regimen simplicity and the convenience of once-daily administration.

Effect of oral magnesium supplement on cardiometabolic markers in people with prediabetes: a double blind randomized controlled clinical trial

To evaluate the effect of magnesium supplementation on insulin resistance and cardiovascular markers in people with prediabetes. A 12 week double-blind placebo-controlled randomized clinical trial was conducted at Isfahan Endocrine and Metabolism Research Center, Iran, on people with prediabetes (n = 86) to compare the effects of magnesium oxide 250 mg/day versus a placebo on anthropometric indices, blood pressure, fasting glucose, insulin, HOMA-IR index, C-reactive protein, uric acid and lipid profile. Both groups had similar distributions of anthropometric and biochemical variables at baseline. Those who received magnesium supplementation had significantly higher levels of HDL-cholesterol compared to the placebo group at the end of the study (49.7 ± 10.9 vs 43.6 ± 7.2 mg/dL, P = 0.003). The mean changes of HOMA-IR index, total cholesterol, LDL-cholesterol, triglyceride, uric acid and C-reactive protein levels as well as anthropometric indices and blood pressure in supplemented and placebo groups did not differ significantly. Magnesium supplementation increased HDL-cholesterol levels in people with prediabetes. However, other cardiometabolic markers were not improved by magnesium supplementation at the above dosage and duration.

Serological and Histological Evaluation of the Effect of Honeybee Venom on Pancreas and Liver in Diabetic Mice

Natural toxins have been traditionally used to trigger several diseases among which bee venom (HBV) is of great importance. The present study aimed to investigate the therapeutic effects of honeybee venom (HBV) on alloxan and glucose fluid-induced Type 2 diabetes mellitus (T2DM). Therefore, a total of 20 adult laboratory male mice (Mus musculus) were selected, acclimated, and divided into four equal groups (n=5). Initially, 15 mice were fasted for 12 hrs and injected with alloxan at a single dose of 150 mg/kg of body weight. The animals were exposed to drinking glucose fluid in the morning for 4 days. Then, the blood glucose was measured. The studied animals having blood glucose of ≤200 mg/dl were considered non-diabetic and re-subjected to injecting alloxan (150 mg/kg body weight) and drinking glucose fluid for another 4 days. Four groups of mice population included, Group 1: non-diabetic and untreated with HBV, Group 2: diabetic and received no HBV as the potential therapeutic agent, Group 3: diabetic and received a low level of HBV at a dose of 0.5 mg/kg, Group 4: diabetic and received a high level of HBV at a dose of 1 mg/kg. At the end of the 35-day testing period, blood samples were tested to determine the levels of insulin, glucose, and lipid profiles [cholesterol, triglyceride (TG), high-density lipoprotein (HDL), and low-density lipoprotein (LDL)] using Sandwich ELISA kits. The results indicated a significant increase in blood glucose in the diabetic group compared to that of the control one, while both concentrations of HBV significantly reduced the level of blood glucose compared to that of the diabetic group. Furthermore, the level of insulin was significantly decreased in the diabetic group compared to that of the controls, while HBV significantly increased the level of insulin compared to that of the diabetic group. Moreover, the diabetic mice demonstrated a significant increase in the concentration of cholesterol and TG compared to that of control mice which were significantly reversed in response to HBV treatment. The level of HDL was significantly decreased in the diabetic group compared to that of the control group which was modulated by treatment, while no significant differences were seen between all the studied groups regarding the level of LDL. Histological examination of diabetic mice revealed a significant alteration in acinar cells and destruction of β-cells of pancreatic sections with marked lacerations in the liver extended to all structures of the organ. The present study concluded that HBV could be a potential therapeutic agent to prevent and manage diabetes and its complication.

Not Control but Conquest: Strategies for the Remission of Type 2 Diabetes Mellitus

A durable normoglycemic state was observed in several studies that treated type 2 diabetes mellitus (T2DM) patients through metabolic surgery, intensive therapeutic intervention, or significant lifestyle modification, and it was confirmed that the functional β-cell mass was also restored to a normal level. Therefore, expert consensus introduced the concept of remission as a common term to express this phenomenon in 2009. Throughout this article, we introduce the recently updated consensus statement on the remission of T2DM in 2021 and share our perspective on the remission of diabetes. There is a need for more research on remission in Korea as well as in Western countries. Remission appears to be prompted by proactive treatment for hyperglycemia and significant weight loss prior to irreversible β-cell changes. T2DM is not a diagnosis for vulnerable individuals to helplessly accept. We attempt to explain how remission of T2DM can be achieved through a personalized approach. It may be necessary to change the concept of T2DM towards that of an urgent condition that requires rapid intervention rather than a chronic, progressive disease. We must grasp this paradigm shift in our understanding of T2DM for the benefit of our patients as endocrine experts.

Environmental Factors as Diabetic Mediators: A Mechanistic Approach

Despite substantial investment in research and treatment options, diabetes mellitus remains a pressing public health concern with potential epidemic proportions globally. There are reports that by the end of 2040, 642 million people will be suffering from diabetes. Also, according to an estimation, 1.6 million deaths were caused directly by diabetes in 2016. Diabetes is a metabolic disorder characterized by impaired glucose regulation in the body due to the destruction of pancreatic β-cells or insulin resistance. Genetic propensity, unhealthy and imbalanced diet, obesity and increasing urbanization are the common risk factors for diabetes. Besides this, it has been reported that environmental pollutants like organic pesticides, heavy metals, and air pollutants act as strong predisposing factors for diabetes owing to their highly bio-accumulative nature. These pollutants disturb glucose homeostasis either by up-regulating or down-regulating the expression of diabetic marker genes like insulin (INS) and glucokinase (GCK). Unfortunately, the molecular mechanism of the role of pollutants in causing diabetes is not very clear. This mechanistic review provides evidence of different environmental determinants, including persistent organic pollutants (POPs), air pollutants, toxic metals, etc., in inducing diabetes and proposes a framework for the possible mechanisms involved. It also illuminates the current status and future challenges, which will not only broaden our understanding but can also be a reasonable platform for further investigation.

Positive association between the ratio of triglycerides to high-density lipoprotein cholesterol and diabetes incidence in Korean adults

BACKGROUND

Insulin resistance is associated with the incidence of diabetes and cardiovascular diseases such as myocardial infarction. The ratio of triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C) (TG/HDL-C ratio) is positively correlated with insulin resistance. This study aimed to investigate the relationship between the TG/HDL-C ratio and the incidence of diabetes in Korean adults.

METHODS

This retrospective study used data from the National Health Insurance Service-National Health Screening Cohort. The TG/HDL-C ratio was divided into three tertiles, the T₁, T₂, and T₃ groups, based on sex. We estimated the hazard ratios (HRs) and 95% confidence intervals (CIs) for diabetes using multivariate Cox proportional hazards regression analyses.

RESULTS

A total of 80,693 subjects aged between 40 and 79 years were enrolled. The median follow-up period was 5.9 years. The estimated cumulative incidence of diabetes in the T₁, T₂, and T₃ groups was 5.94%, 8.23%, and 13.50%, respectively, in men and 4.12%, 4.72%, and 6.85%, respectively, in women. Compared to T₁, the fully adjusted HRs (95% CIs) of the T₂ and T₃ groups for new-onset diabetes were 1.17 (1.06-1.30) and 1.47 (1.34-1.62), respectively, in men and 1.20 (1.02-1.42) and 1.52 (1.30-1.78), respectively, in women.

CONCLUSIONS

Increased TG/HDL-C ratio was significantly associated with a higher risk of new-onset diabetes in both sexes.

Dapagliflozin for the treatment of type 2 diabetes mellitus - an update

INTRODUCTION

Diabetes is a global health concern with a prevalence of 463 million people. Importantly, despite the availability of numerous antidiabetic medications, type 2 diabetes mellitus (T2DM) is still associated with significant morbidity and mortality worldwide. One particular drug of interest is dapagliflozin, a sodium-glucose cotransporter 2 (SGLT2) inhibitor that is commonly used in the treatment of Type 2 Diabetes Mellitus (T2DM).

AREAS COVERED

This review outlines the current use and pharmacology of dapagliflozin, with a specific focus on recent evidence regarding benefits in patients with cardiovascular and chronic kidney disease. The article includes an overview of the efficacy and safety of this drug and provides the reader with the expert opinion and perspectives of the authors.

EXPERT OPINION

Increasing evidence of the beneficial effects on morbidity and mortality in patients with Type 2 diabetes and concurrent heart failure, acute MI and renal failure are likely to see the usage of dapagliflozin in patients with these comorbidities increase over the next 5 years.

The SMART Framework: Selection of Machine learning Algorithms with ReplicaTions - a Case Study on the Microvascular Complications of Diabetes

Over 34 million people in the US have diabetes, a major cause of blindness, renal failure, and amputations. Machine learning (ML) models can predict high-risk patients to help prevent adverse outcomes. Selecting the 'best' prediction model for a given disease, population, and clinical application is challenging due to the hundreds of health-related ML models in the literature and the increasing availability of ML methodologies. To support this decision process, we developed the Selection of Machine-learning Algorithms with ReplicaTions (SMART) Framework that integrates building and selecting ML models with decision theory. We build ML models and estimate performance for multiple plausible future populations with a replicated nested cross-validation technique. We rank ML models by simulating decision-maker priorities, using a range of accuracy measures (e.g., AUC) and robustness metrics from decision theory (e.g., minimax Regret). We present the SMART Framework through a case study on the microvascular complications of diabetes using data from the ACCORD clinical trial. We compare selections made by risk-averse, -neutral, and -seeking decision-makers, finding agreement in 80% of the risk-averse and risk-neutral selections, with the risk-averse selections showing consistency for a given complication. We also found that the models that best predicted outcomes in the validation set were those with low performance variance on the testing set, indicating a risk-averse approach in model selection is ideal when there is a potential for high population feature variability. The SMART Framework is a powerful, interactive tool that incorporates various ML algorithms and stakeholder preferences, generalizable to new data and technological advancements.

The Association of Serum Uric Acid with Beta-Cell Function and Insulin Resistance in Nondiabetic Individuals: A Cross-Sectional Study

PURPOSE

Higher serum levels of uric acid (SUA) are associated with an increased risk of developing type 2 diabetes. Meanwhile, insulin resistance and beta-cell dysfunction are critical factors that mediate the progression from normal glucose tolerance to impaired fasting glucose (IFG) and type 2 diabetes. We aimed to investigate the association between SUA levels and insulin resistance and beta-cell dysfunction in individuals without diabetes, thus explicating the role of uric acid in the early stage of the natural history of type 2 diabetes.

PATIENTS AND METHODS

We used cross-sectional data from the China Health and Nutrition Survey to examine the association. Insulin resistance and beta-cell dysfunction were estimated using the homeostasis model assessment of insulin resistance (HOMA-IR) index and homeostasis model assessment of beta-cell function (HOMA-beta) index, respectively. The associations were analyzed by using partial correlation analysis and multivariate logistic regressionl analysis.

RESULTS

SUA levels were positively associated with fasting glucose, fasting insulin, HOMA-IR in the total population. After adjustment for age, drinking, smoking, living area, daily dietary nutrient intake, body mass index (BMI), estimated glomerular filtration rate (eGFR), hypertension, and dyslipidemia, compared with participants in the lowest quartile of SUA, the adjusted odds ratios for the fourth quartiles were 1.56(1.09-2.24) for IFG, 1.51(1.27-1.78) for insulin resistance, and 1.06(0.88-1.27) for beta-cell dysfunction. In the subgroup analysis, no interactions were found between serum uric acid and age, drinking status, smoking status, BMI, hypertension, or dyslipidemia (all p for interaction>0.05).

CONCLUSION

In nondiabetic individuals, SUA levels are independently associated with IFG and insulin resistance, while no significant association exists between SUA and beta-cell dysfunction.

Intergenic lnc-LEP-2:6 and lnc-LEP-2:7 as novel biomarkers associated with type 2 diabetes mellitus

CONTEXT

Type 2 diabetes mellitus (T2DM) has undeniably become a significant threat to public health in the modern world.

OBJECTIVE

To identify molecules involved in the development of T2DM, the expression patterns of cis-lincRNAs-LEP were investigated in T2DM patients.

MATERIALS AND METHODS

The expression levels of 11 lncRNAs-LEP and LEP mRNA in 71 diabetic patients and 32 controls were determined using qRT-PCR. The association between lncRNAs-LEP and T2DM was performed using ROC curve analysis.

RESULTS

The expression analysis of lnc-LEP-2:6 and lnc-LEP-2:7 was significantly different (p≤ .0001) in diabetic patients compared to the controls. The ROC curve data showed that lnc-LEP-2:6 and lnc-LEP-2:7 have a high AUC, with 0.940 (95% CI: 0.875-0.977) and 0.958 (95% CI: 0.899-0.988), respectively.

CONCLUSIONS

Our results revealed two novel biomarkers associated with the T2DM and suggest that the circulating intergenic, lnc-LEP-2:6 and lnc-LEP-2:7, might have a regulatory role in the disease pathogenesis.

Evaluating the Evidence behind the Novel Strategy of Early Combination from Vision to Implementation

Type 2 diabetes mellitus (T2DM) is a complex and progressive chronic disease characterised by elevating hyperglycaemia and associated need to gradually intensify therapy in order to achieve and maintain glycaemic control. Treating hyperglycaemia with sequential therapy is proposed to allow holistic assessment of the efficacy and risk-to-benefit ratio of each added component. However, there is an array of evidence supporting the scientific rationale for using synergistic, earlier, modern drug combinations to achieve glycaemic goals, delay the deterioration of glycaemic control, and, therefore, potentially preserve or slow down the declining β-cell function. Additionally, implementation of early combination(s) may lead to opportunities to combat clinical inertia and other hurdles to optimised disease management outcomes. This review aims to discuss the latest empirical evidence for long-term clinical benefits of this novel strategy of early combination in people with newly diagnosed T2DM versus the current widely-implemented treatment paradigm, which focuses on control of hyperglycaemia using lifestyle interventions followed by sequentially intensified (mostly metformin-based) monotherapy. The recent reported Vildagliptin Efficacy in combination with metfoRmin For earlY treatment of T2DM (VERIFY) study results have provided significant new evidence confirming long-term glycaemic durability and tolerability of a specific early combination in the management of newly diagnosed, treatment-naïve patients worldwide. These results have also contributed to changes in clinical treatment guidelines and standards of care while clinical implementation and individualised treatment decisions based on VERIFY results might face barriers beyond the existing scientific evidence.

Costarting sitagliptin with metformin is associated with a lower likelihood of disease progression in newly treated people with type 2 diabetes: a cohort study

AIM

To examine whether early addition of sitagliptin to metformin is associated with a delay in type 2 diabetes progression.

METHODS

Administrative health records from Alberta, Canada, for the period April 2008 to March 2015, were used to conduct a retrospective cohort study in new metformin users. People who started sitagliptin on the same day they initiated metformin therapy were compared with those who added sitagliptin later. Insulin initiation served as a surrogate marker for diabetes progression, and multivariable logistic regression models were used to evaluate the association with sitagliptin addition (costart vs later use). A mixed-effects linear regression model was used to examine the effect of timing of sitagliptin addition on HbA_1c change over 1 year.

RESULTS

The mean (sd) age of the 8764 people who used sitagliptin was 52.1 (11.1) years, 5665 (64.6%) were men, and 1153 (13.2%) started sitagliptin on the same day as metformin. Insulin was added to the therapy of 173 (15.0%) costarters and 1453 (19.1%) later sitagliptin users. The adjusted odds ratio for adding insulin was 0.76 (95% CI 0.64 to 0.90) in favour of costarting sitagliptin. HbA_1c levels decreased in both groups 1 year after starting sitagliptin, with costarters having a significantly greater reduction [absolute between-group difference of 0.5% (95% CI 0.3 to 0.7)] compared with later sitagliptin users.

CONCLUSION

Costarting drug therapy with sitagliptin and metformin was associated with a lower likelihood of disease progression in people with type 2 diabetes compared with adding sitagliptin later.

Abscisic Acid Treatment in Patients with Prediabetes

Aim: to evaluate the effects of abscisic acid (ABA), contained in dwarf peaches, on the regression of impaired fasting glucose (IFG) or impaired glucose tolerance (IGT) conditions. Materials and methods: sixty-five patients with IFG or IGT were randomized to take ABA or placebo for 3 months. We evaluated: fasting plasma glucose (FPG), postprandial plasma glucose (PPG), glycated hemoglobin (HbA_1c), fasting plasma insulin (FPI), homeostatic model assessment of insulin resistance (HOMA-IR), lipid profile and high sensitivity C-reactive protein (Hs-CRP). At baseline, and after 3 months, all patients underwent an oral glucose tolerance test (OGTT), an euglycemic hyperinsulinemic clamp, and a glucagon test. Results: a significant reduction of HbA_1c, FPG, PPG, FPI and HOMA-IR was observed in the ABA group. After 3 months, 26.7% of patients returned to a normal glycemic status in the ABA group versus zero patients in placebo group; 20.0% were classified as IFG and 53.3% as IGT in the nutraceutical group versus 33.3% and 63.3% in the placebo group. The M value was higher in the ABA group at the end of the treatment. Finally, Hs-CRP was reduced after 3 months of ABA consumption. Conclusions: abscisic acid can be effective in ameliorating glyco-metabolic compensation and in reducing inflammatory status in patients with IFG or IGT.

Application of Disease Etiology and Natural History to Prevention in Primary Health Care: A Discourse

The principles of etiology and natural history of disease are essential to recognizing opportunities for prevention across the illness spectrum. They have a bearing on how illness is experienced, how differently it can be perceived at the time of first contact with the health system, and how it may appear at later stages. Opportunities for prevention arise at every stage in the process, and three main levels are described: primary, secondary, and tertiary. Prevention strategies include health promotion focused on determinants, clinical prevention to reduce modifiable risk factors, case finding, screening, and addressing functional outcomes relevant to quality of life; the importance of preventing errors is also recognized. The distinction between incidence effects and treatment effects of prevention is explored. This review also examines the differing roles of language in health science and public communication, aspects of disease classification, related issues in patient-centered care, the prevention paradox, and integrated models of disease prevention.

Potential Protective Effect of Dietary Intake of Non-α-Tocopherols on Cellular Aging Markers Mediated by Tumor Necrosis Factor-α in Prediabetes: A Cross-Sectional Study of Chinese Adults

It remains unknown how different glucose tolerance status affects the relationships between dietary intake of different tocopherol isoforms (α-, β-, γ-, and δ-tocopherol) and cellular aging, oxidative stress, and inflammatory markers. The authors conducted a cross-sectional study among 582 Chinese adults with different glucose tolerance status to explore the association between dietary intake of different tocopherol isoforms and cellular aging, oxidative stress, and inflammatory markers. The inverse correlations between non-α-tocopherols and tumor necrosis factor-alpha (TNF-α) varied substantially across different glucose tolerance status, with the strongest observed in prediabetes (r = −0.33 for β-/γ-tocopherol, r = −0.37 for δ-tocopherol, p < 0.01), followed by normal glucose tolerance (NGT). While such correlations were abolished in established diabetes. Furthermore, within prediabetes, the strongest inverse correlations between non-α-tocopherols and TNF-α were observed in impaired fasting glucose (IFG) (r = −0.42 for β-/γ-tocopherol, r = −0.55 for δ-tocopherol, p < 0.01), while such correlations were significantly attenuated in individuals with impaired glucose tolerance (IGT) and IFG+IGT. And mediation model analysis displayed that TNF-α mediated the protective effect of non-α-tocopherols on leukocyte telomere length and mitochondrial DNA copy number, which was uniquely observed in prediabetes, while such mediation effect was statistically nonsignificant in NGT and established diabetes. In conclusion, our findings indicate that dietary intake of non-α-tocopherols might protect against cellular aging markers mediated by TNF-α in prediabetes. Individuals with prediabetes, especially for IFG, might benefit from increasing dietary intake of non-α-tocopherol in alleviating inflammation and cellular aging, which might provide a new dietary avenue for delaying diabetes onset.

Impact of Glucose Level on Micro- and Macrovascular Disease in the General Population: A Mendelian Randomization Study

OBJECTIVE

To evaluate whether high glucose levels in the normoglycemic range and higher have a causal genetic effect on risk of retinopathy, neuropathy, nephropathy, chronic kidney disease (CKD), peripheral arterial disease (PAD), and myocardial infarction (MI; positive control) in the general population.

RESEARCH DESIGN AND METHODS

This study applied observational and one-sample Mendelian randomization (MR) analyses to individual-level data from 117,193 Danish individuals, and validation by two-sample MR analyses on summary-level data from 133,010 individuals from the Meta-Analyses of Glucose and Insulin-Related Traits Consortium (MAGIC), 117,165 from the CKDGen Consortium, and 452,264 from the UK Biobank.

RESULTS

Observationally, glucose levels in the normoglycemic range and higher were associated with high risks of retinopathy, neuropathy, diabetic nephropathy, PAD, and MI (all P for trend <0.001). In genetic causal analyses, the risk ratio for a 1 mmol/L higher glucose level was 2.01 (95% CI 1.18-3.41) for retinopathy, 2.15 (1.38-3.35) for neuropathy, 1.58 (1.04-2.40) for diabetic nephropathy, 0.97 (0.84-1.12) for estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m², 1.19 (0.90-1.58) for PAD, and 1.49 (1.02-2.17) for MI. Summary-level data from the MAGIC, the CKDGen Consortium, and the UK Biobank gave a genetic risk ratio of 4.55 (95% CI 2.26-9.15) for retinopathy, 1.48 (0.83-2.66) for peripheral neuropathy, 0.98 (0.94-1.01) for eGFR <60 mL/min/1.73 m², and 1.23 (0.57-2.67) for PAD per 1 mmol/L higher glucose level.

CONCLUSIONS

Glucose levels in the normoglycemic range and higher were prospectively associated with a high risk of retinopathy, neuropathy, diabetic nephropathy, eGFR <60 mL/min/1.73 m², PAD, and MI. These associations were confirmed in genetic causal analyses for retinopathy, neuropathy, diabetic nephropathy, and MI, but they could not be confirmed for PAD and seemed to be refuted for eGFR <60 mL/min/1.73 m².

When does diabetes start? Early detection and intervention in type2 diabetes mellitus

Type 2 diabetes mellitus (DM2) is a progressive disease whose pathophysiological changes occur several years before its detection. An approach based on the pathophysiological development of DM2 and its complications emphasises the importance of early and intensive intervention, not only to prevent beta-cell dysfunction but also to act on the potential associated cardiovascular risk factors before reaching the blood glucose thresholds currently set for diagnosing DM2. In the field of recently diagnosed DM2, the VERIFY study has shown that early treatment combined with metformin-vildagliptin provides relevant improvements in long-term glycaemic control and can positively affect the disease's progression.

Therapeutic Inertia in People With Type 2 Diabetes in Primary Care: A Challenge That Just Won't Go Away

Therapeutic inertia is a prevalent problem in people with type 2 diabetes in primary care and affects clinical outcomes. It arises from a complex interplay of patient-, clinician-, and health system-related factors. Ultimately, clinical practice guidelines have not made an impact on improving glycemic targets over the past decade. A more proactive approach, including focusing on optimal combination agents for early glycemic durability, may reduce therapeutic inertia and improve clinical outcomes.

Prediction of progression from pre-diabetes to diabetes: Development and validation of a machine learning model

AIMS

Identification, a priori, of those at high risk of progression from pre-diabetes to diabetes may enable targeted delivery of interventional programmes while avoiding the burden of prevention and treatment in those at low risk. We studied whether the use of a machine-learning model can improve the prediction of incident diabetes utilizing patient data from electronic medical records.

METHODS

A machine-learning model predicting the progression from pre-diabetes to diabetes was developed using a gradient boosted trees model. The model was trained on data from The Health Improvement Network (THIN) database cohort, internally validated on THIN data not used for training, and externally validated on the Canadian AppleTree and the Israeli Maccabi Health Services (MHS) data sets. The model's predictive ability was compared with that of a logistic-regression model within each data set.

RESULTS

A cohort of 852 454 individuals with pre-diabetes (glucose ≥ 100 mg/dL and/or HbA1c ≥ 5.7) was used for model training including 4.9 million time points using 900 features. The full model was eventually implemented using 69 variables, generated from 11 basic signals. The machine-learning model demonstrated superiority over the logistic-regression model, which was maintained at all sensitivity levels - comparing AUC [95% CI] between the models; in the THIN data set (0.865 [0.860,0.869] vs 0.778 [0.773,0.784] P < .05), the AppleTree data set (0.907 [0.896, 0.919] vs 0.880 [0.867, 0.894] P < .05) and the MHS data set (0.925 [0.923, 0.927] vs 0.876 [0.872, 0.879] P < .05).

CONCLUSIONS

Machine-learning models preserve their performance across populations in diabetes prediction, and can be integrated into large clinical systems, leading to judicious selection of persons for interventional programmes.

Targeted screening for prediabetes and undiagnosed diabetes in a community setting in India

BACKGROUND AND OBJECTIVES

Data to support the use of risk scores in screening programs to detect people with prediabetes and undiagnosed diabetes in low- and middle-income countries are limited. We evaluated a targeted screening program involving a diabetes risk score in a community setting in India in terms of its uptake, yield, and costs.

METHODS

In the Kerala Diabetes Prevention Program, 2586 individuals (age 30-60 years) without known diabetes were screened using a two-step procedure. Step 1: screening with the Indian Diabetes Risk Score at participants' homes by trained non-medical staff. Step 2: oral glucose tolerance test (OGTT) among those with IDRS score ≥60 ("screen-positive") at community-based clinics. Screening costs were expressed in 2013 US dollars.

RESULTS

96.3% of those invited for the IDRS screening consented and 79.1% of screen-positives attended clinics for an OGTT. Older age and male gender were associated with higher IDRS uptake. Female gender, higher monthly household expenditure, and higher IDRS score were associated with higher OGTT uptake. The number needed to screen (yield) to detect one person with prediabetes and undiagnosed diabetes was two and six, respectively. The average screening cost of identifying one person with prediabetes and undiagnosed diabetes was $33.8 and $116.5, respectively.

CONCLUSION

This targeted screening program had a high uptake and high yield for prediabetes and undiagnosed diabetes in a community setting in India. Alternative strategies are likely required to enhance the uptake of screening in certain groups.

Examining quality of care for individuals treated for mental health using the HEDIS mental health quality measures

Objective: This descriptive study examined the quality of care received by individuals with serious mental illness observed in clinical care using established Healthcare Effectiveness Data and Information Set (HEDIS) measures for individuals with serious mental illness.Methods: Administrative claims (Medicaid, Medicare, and commercial) from a national health and well-being company were used to identify adults with schizophrenia or bipolar disorder. Performance rates for five HEDIS mental health quality measures were computed. Sub-group analyses examined each HEDIS measure by those who were medication adherent vs non-adherent, and by typical vs atypical antipsychotics.Results: Eighty-nine percent of the Medicaid population received a diabetes screening (vs 79% for national benchmark Medicaid rates), 81% (vs 69%) received monitoring for diabetes, 88% (vs 79%) received monitoring for cardiovascular disease, 63% (vs 60%) were adherent with antipsychotic medication, and 34% (vs 61%) had a follow-up visit with a mental health practitioner within 30 days of a discharge. The rates for individuals with Medicare coverage were similar or marginally higher than those reported for those with Medicaid coverage, while rates for the commercially insured population were lower than the other groups.Conclusions: Most (>65%) individuals with serious mental illness received the recommended screening and monitoring for diabetes and cardiovascular disease. Barriers to and reasons for lack of follow-up should be investigated to guide future interventions to improve follow-up after hospitalization for individuals with serious mental illness.

Disparities in the Efficacy of Metformin in Combination with Dipeptidyl Peptidase-4 Inhibitor as Initial Treatment Stratified by Dosage and Ethnicity: A Meta-Analysis

BACKGROUND

As initial combination therapy of metformin and dipeptidyl peptidase-4 (DPP-4) inhibitor, the efficacy and safety for the use of high dose of metformin or low dose of metformin and the efficacy and safety for the combination use for Asian and Caucasian patients were not clear.

METHODS

Double-blind randomized controlled trials comparing the efficacy of initial combination therapy of metformin and DPP-4 inhibitors with metformin monotherapy were included. The primary outcome was a result of comparisons between high-dose combination therapy and low-dose combination therapy in terms of efficacy and safety.

RESULTS

A total of 11 studies were included. The results indicated that the high-dose combination therapy showed significant decreases in hemoglobin A_1c (HbA_1c) (-0.32%, P < 0.05), fasting plasma glucose (FPG) (-0.63 mmol/L, P < 0.05), and postprandial glucose (PPG) (-0.99 mmol/L, P < 0.05), but less increase in body weight (-0.54 kg, P < 0.05) when compared with low-dose combination therapy, corrected by metformin monotherapy. Moreover, the high-dose combination therapy exhibited significant decreases in HbA_1c (-0.24%, P < 0.05), FPG (-0.54 mmol/L, P < 0.05), and PPG (-0.94 mmol/L, P < 0.05) in the Caucasian population than in the Asian population, corrected by metformin monotherapy.

CONCLUSION

As an initial treatment, the high dose of metformin in combination with DPP-4 inhibitors not only provided better glycemic control but also had less effect on weight gain compared with the low-dose combination therapy through the correction of metformin monotherapy. Moreover, initial combination therapy in the Caucasian population showed better glycemic control and less increase in body weight compared with the Asian population.

Prediabetes

The burden of diabetes is expected to rise from 415 million individuals in 2015 to 642 million individuals by 2040. Most individuals pass through a phase of prediabetes before developing full-blown diabetes. Insulin resistance, impaired incretin action, and insulin hypersecretion are central to the pathophysiology of prediabetes. Individuals older than 40 years of age and other high-risk individuals should be screened for diabetes with fasting plasma glucose and/or hemoglobin A1c. For those diagnosed with prediabetes, the goal of treatment should be restoring euglycemia, because there are data showing that restoring normoglycemia during prediabetes and early diabetes can produce lasting remission. The preferred approach for this is intensive lifestyle intervention, which besides reducing progression to diabetes, has also been shown to reduce all-cause mortality in a long-term follow-up study. The best evidence for a pharmacological approach is with metformin. Other drugs that have shown efficacy include thiazolidinediones, alpha-glucosidase inhibitors, orlistat, basal insulin, and valsartan. However, except for metformin, none of these drugs are currently recommended for this purpose. Newer agents such as glucagon-like peptide-1 agonists and dipeptidyl peptidase 4 (DPP-4) inhibitors also have considerable promise in this area. Bariatric surgery can be offered to patients with metabolic syndrome and body mass index of 30-35.

Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review

Different elements of the environment have been posited to influence type 2 diabetes mellitus (T2DM). This systematic review summarizes evidence on the environmental determinants of T2DM identified in four databases. It proposes a theoretical framework illustrating the link between environment and T2DM, and briefly discusses some methodological challenges and potential solutions, and opportunities for future research. Walkability, air pollution, food and physical activity environment and roadways proximity were the most common environmental characteristics studied. Of the more than 200 reported and extracted relationships assessed in 60 studies, 82 showed significant association in the expected direction. In general, higher levels of walkability and green space were associated with lower T2DM risk, while increased levels of noise and air pollution were associated with greater risk. Current evidence is limited in terms of volume and study quality prohibiting causal inferences. However, the evidence suggests that environmental characteristics may influence T2DM prevention, and also provides a reasonable basis for further investigation with better quality data and longitudinal studies with policy-relevant environmental measures. This pursuit of better evidence is critical to support health-orientated urban design and city planning.

Multidisciplinary treatment of patients with diabetes and hypertension: experience of a Brazilian center

BACKGROUND

Although multidisciplinary treatment is recommended for type 2 diabetes mellitus and hypertension (HTN), there is a lack of scientific literature supporting the hypothesis of extending this treatment strategy to patients with both diabetes and HTN. Aiming to report results of long-term multidisciplinary treatment for these patients and identify strategies to improve their management, we conducted this study.

METHODS

Data of patients with diabetes and HTN with regular follow-up visits in a multidisciplinary HTN treatment center from Brazil's Midwest were retrospectively assessed. Patients ≥ 18 years enrolled in the service by June 2017 with a minimum of three visits were included. Anthropometric, blood pressure (BP), laboratory, pharmacological treatment, lifestyle, and cardiovascular events data were collected from first (V1), intermediate (V2) and most recent (V3) visits to the service. BP < 130 × 80 mmHg, LDL-cholesterol (LDL-C) < 70 mg/dL and HbA1C < 7.0% were defined as treatment targets. Wilcoxon signed-rank test was used to compare variables along study visits. A linear regression model was built to identify variables associated with better overall patient control.

RESULTS

A total of 162 patients were included (mean age of 56.5 ± 10.8 years). Median follow-up time was 60 (IQR 40-109) months, 80.2% of the sample was female and 83.3% had no cardiovascular event history. BP, total cholesterol, LDL-C, triglycerides and HbA1C values showed a significant trend to improve along the study visits (p < 0.001). Growing trend in aspirin (p = 0.045) and statins (p < 0.001) use was found, in addition to treatment compliance increase (p < 0.001). Significant improvement trends in BP (p < 0.001), LDL-C (p = 0.004) and HbA1C (p = 0.002) control were also found across visits. Control rates of BP, LDL-C and HbA1C in combination were low in V1, V2 and V3 (1.2, 1.9 and 6.8%, respectively), but showed significant improvement trend (p < 0.001). Treatment compliance (β-coefficient = 1.20; 95% CI 1.07-1.34; p < 0.001) was positively associated with better overall patients control.

CONCLUSIONS

Multidisciplinary treatment of patients with diabetes and HTN significantly improved clinical and laboratory parameters, despite ageing of population evaluated. Although combined control of HbA1C, BP and LDL-cholesterol increased along follow-up, management of all these three conditions needs to improve, and focus on treatment compliance should be given to attain this goal.

iGlarLixi, a titratable once-daily fixed-ratio combination of basal insulin and lixisenatide for intensifying type 2 diabetes management for patients inadequately controlled on basal insulin with or without oral agents

BACKGROUND

Achieving and maintaining glycemic control is important for people with type 2 diabetes (T2D), to reduce disease-related complications and mortality; however, about half of US patients fail to meet glycemic targets. iGlarLixi, a titratable fixed-ratio combination of insulin glargine 100 U/mL (iGlar) and lixisenatide for once-daily administration, was recently approved by the US Food and Drug Administration for use in adults with T2D inadequately controlled on basal insulin (<60 U daily) or lixisenatide. iGlar and lixisenatide have complementary mechanisms of action, primarily targeting fasting plasma glucose and postprandial plasma glucose, respectively. In the US, iGlarLixi is available in a 3:1 ratio of iGlar and lixisenatide, respectively, across the dosage range of 15-60 U of iGlar and 5-20 µg of lixisenatide.

METHODS

This study identified phase 3 trials which assessed the efficacy and safety of iGlarLixi. Relevant trials were LixiLan-O, which compared iGlarLixi with iGlar or lixisenatide alone in insulin-naïve patients, and LixiLan-L, which compared iGlarLixi with iGlar alone in insulin-experienced patients.

RESULTS

Patients on iGlarLixi experienced greater A1C reduction and were more likely to achieve A1C <7.0% than its comparators. iGlarLixi mitigated the weight gain associated with iGlar without increasing hypoglycemia risk, and resulted in a lower frequency of gastrointestinal adverse events compared with lixisenatide.

CONCLUSIONS

iGlarLixi provides a new approach to therapy intensification in patients with T2D. iGlarLixi showed greater A1C efficacy compared with either iGlar or lixisenatide, mitigating iGlar-associated weight gain, without increasing hypoglycemia risk, and reducing the gastrointestinal side-effects seen with lixisenatide.

Prevention of Type 2 Diabetes with the Chinese Herbal Medicine Tianqi Capsule: A Systematic Review and Meta-Analysis

INTRODUCTION

Prevention of the rapid growth in incidence of type 2 diabetes (T2DM) is a big challenge for clinicians. In China, many trials have indicated that Tianqi capsule, which contains several Chinese herbal medicines as part of a large healing system called traditional Chinese medicine, could decrease the incidence of T2DM. The review assessed the effectiveness of Tianqi capsule in prevention of T2DM.

METHODS

Seven electronic databases were searched to identify eligible trials published from the inception of the databases up until May 1, 2017. Randomized controlled trials (RCTs) of Tianqi capsule for impaired glucose tolerance (IGT) were included. Data extraction and quality assessment were performed according to the Cochrane review standards. A random or a fixed effect model was used to analyze outcomes which were expressed as risk ratios (RRs) or mean differences (MD), and I ² statistics were used to assess heterogeneity.

RESULTS

Six trials were identified that included 1027 subjects. Meta-analysis showed that subjects who received Tianqi capsule plus lifestyle modification (LM) were less likely to progress to T2DM compared to controls (RR 0.55, 95% CI 0.44-0.68). Subjects who received Tianqi capsule plus LM were more likely to have glucose return to normal compared to controls (RR 0.69; 95% CI 0.62-0.78); and they had reduced fasting plasma glucose (FBG) (MD - 0.35; 95% CI - 0.55 to - 0.16) and 2-h plasma glucose (2 h PG) (MD - 1.04; 95% CI - 1.75 to - 0.32). There was no statistical difference between the two groups for IGT stabilized incidence (RR 0.89; 95% CI 0.71-1.12). No obvious adverse events occurred.

CONCLUSION

In patients with IGT, Tianqi capsule reduced the risk of progression to T2DM and increased the possibility of regression toward normoglycemia. As a result of the limited number of RCTs and the methodological drawbacks of the included studies, the results should be interpreted with caution.

Effect of antihyperglycemic drug monotherapy to prevent the progression of mild hyperglycemia in early type 2 diabetic patients: the Japan Early Diabetes Intervention Study (JEDIS)

To effectively prevent the worsening of hyperglycemia in type 2 diabetes mellitus, it is of interest to see the clinical efficacy of early introduction of pharmacotherapy in addition to lifestyle intervention which is not always easy to continue throughout life. This is a randomized unblinded comparative clinical study on suppressive effects of lifestyle intervention alone and additional monotherapies for mild hyperglycemia at an early stage of treatment-naïve type 2 diabetic patients, whose fasting plasma glucose (FPG) and glycosylated hemoglobin (HbA1c) are less than 140 mg/dl and 7.4%, respectively. The control group (group N = arm N) received conventional lifestyle intervention assisted by routine facilities, while the pharmacological intervention group (group D composed of 4 arms) was additionally treated by monotherapy with one of four kinds of oral antihyperglycemic agents i.e., sulfonylurea (SU), α-glucosidase inhibitor, biguanide and dipeptidyl peptidase-4 inhibitor. The participants were scheduled to follow up for 3 years to maintain glycemic control below primary endpoint which was defined as the first occurrence of FPG ≥140 mg/dl and HbA1c ≥7.4% simultaneously even by increasing doses of oral drug in group D, if necessary. The outcomes of occurrences of primary endpoint were not different between group N and group D composed of 4 arms during 3 years by Kaplan-Meyer plots (p = 0.405). On the other hand, ΔFPG (Δ: incremental change from baseline) and ΔHbA1c in group D significantly decreased when compared to those of group N during 3 years (p < 0.05 and p < 0.01 respectively). Significant reductions of ΔBMI were seen similarly in both groups throughout the study (p < 0.05), but did not differ between two groups. Among these 5 arms, significant decreases of ΔHbA1c were observed in three monotherapy arms of group D compared to arm N for 3 years (p < 0.05 or p < 0.01), except for arm SU in which ΔBMI and ΔHbA1c tended to increase at the latter half of the study. The final achievement rates of target HbA1c less than 7.4, 7.0 and 6.5% in all the participants tended to be higher in group D than in group N (p < 0.047 for 7.4%, but not significant for others). In conclusion, the early introduction of pharmacological monotherapy in addition to lifestyle intervention seem to suppress mild hyperglycemia with small doses of antihyperglycemic agents for 3 years, except for the use of SU drug. Although a larger scale of trial will be necessary to conclude, the early treatment with suitable monotherapy could be effective to bring and keep "safe level of glycemia".

Behavioral lifestyle interventions for the primary prevention of type 2 diabetes and translation to Hispanic/Latino communities in the United States and Mexico

Lifestyle behaviors in overweight and obese individuals are closely linked to the development, course, and outcomes of type 2 diabetes and multiple comorbid health conditions. Behavior change theory and many randomized controlled studies offer strong support for screening and identifying adults at increased cardiometabolic risk and for providing early intervention to mitigate risk factors to prevent or delay the onset of disease. The current article reviews key lifestyle intervention efficacy and dissemination trials conducted with individuals deemed to be at increased risk for diabetes and describes the rationale for training teams of professionals and community health workers (e.g., promotores [in Spanish]) to implement comprehensive programs, with fidelity, in a variety of medical care and community settings. This evidence-based road map may be used to facilitate the design and implementation of strategies for structured behavioral diabetes risk reduction programs in the public and private healthcare sectors and other relevant community-based platforms serving individuals of Hispanic/Latino origin in the United States and Mexico.

Metabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study

To investigate the metabolic biomarkers of predicting the transition from pre-diabetes (pre-DM) to normal glucose regulation (NGR) and diabetes (DM) in a longitudinal cohort study. 108 participants with pre-DM were followed up for ten years and divided into 3 groups according to different glycemic outcomes. 20 participants progressed to DM, 20 regressed to NGR, and 68 remained at pre-DM. Alterations in plasma metabolites in these groups were evaluated by untargeted ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS). Twenty three metabolites related to glycerophospholipid metabolism, oxidation and antioxidation were associated with the process from pre-DM to NGR, while twenty two metabolites related to amino acid metabolism, glycerophospholipid metabolism and mitochondrial β-oxidation played important roles in the progression to DM. Results from stepwise logistic regression analysis showed that five biomarkers (20-Hydroxy-leukotriene E4, Lysopc(20:4), 5-methoxytryptamine, Endomorphin-1, Lysopc(20:3)) were good prediction for the restoration to NGR, and five biomarkers (Iso-valeraldehyde, linoleic acid, Lysopc(18:1), 2-Pyrroloylglycine, Dityrosine) for the development of DM. The findings suggest that the combination of these potential metabolites may be used for the prognosis of pre-DM. Targeting the pathways that involved in these prognostic biomarkers would be beneficial for the regression to NGR and the early prevention of DM among pre-DM.

Metformin Use in Prediabetes Among U.S. Adults, 2005-2012

OBJECTIVE

To determine the prevalence of and characteristics associated with metformin use among U.S. adults with prediabetes using the National Health and Nutrition Examination Survey (NHANES) 2005-2012.

RESEARCH DESIGN AND METHODS

The American Diabetes Association's guidelines for metformin use in prediabetes have evolved, with 2017 recommendations suggesting metformin be considered in patients with prediabetes and additional risk factors (BMI ≥35 kg/m2, age <60 years, or prior gestational diabetes mellitus) or rising hemoglobin A1c (HbA1c). We estimated the age-adjusted prevalence of metformin use among individuals with prediabetes (defined by HbA1c 5.7-6.4%, fasting glucose 100-125 mg/dL, 2-h poststimulated glucose 140-199 mg/dL, or self-report) and used multivariate logistic regression to evaluate characteristics associated with metformin use.

RESULTS

Of 22,174 adults, 7,652 had prediabetes. The age-adjusted prevalence of metformin use among those with prediabetes was 0.7%. Metformin use was associated with higher mean BMI (35.1 kg/m2 vs. 29.6 kg/m2, P < 0.01) and higher glucose (fasting glucose 114 mg/dL vs. 105 mg/dL, P = 0.03; 2-h poststimulated glucose 155 mg/dL vs. 128 mg/dL, P = 0.003; and HbA1c 6.0% [42 mmol/mmol] vs. 5.6% [38 mmol/mmol], P < 0.01). Metformin use was low even among those with BMI ≥35 kg/m2, a group for whom metformin use is recommended. Metformin use did not vary by race, poverty-to-income ratio, or education.

CONCLUSIONS

Metformin use was <1% among U.S. adults with prediabetes and only slightly more common among those with additional risk factors for diabetes.