Low muscle mass is associated with low insulin sensitivity, impaired pancreatic ß cell function, and high glucose excursion in nondiabetic nonobese Japanese women.

Aim: We tested whether skeletal muscle mass is associated with insulin sensitivity, pancreatic ß-cell function, and postglucose glycemia. Methods: Appendicular skeletal muscle mass (ASM) (relative to body size, %ASM) by DXA, surrogate measures of insulin sensitivity, insulin secretion and the disposition index (insulin sensitivity adjusted insulin secretion: a product of the insulinogenic index and Matsuda insulin sensitivity index) inferred from serum insulin kinetics during a 75 g oral glucose tolerance test (OGTT) were evaluated in 168 young and 65 middle-aged women, whose BMI averaged <23.0 kg/m2 and HbA1c â‰¦ 5.5 %. Results: In two groups of women, %ASM was associated negatively with homeostasis model assessment insulin resistance (HOMA-IR) and 2-h insulin (both p < 0.01 or less). In middle-aged women not in young women, %ASM was associated inversely with the Matsuda index (p < 0.001). In middle-aged women only, it also showed a positive association with the disposition index (p = 0.02) and inverse associations with 1-h and 2-h glucose (both p < 0.01) and area under the glucose concentration curve during OGTT (p = 0.006). On multivariate linear regression analyses, 2-h insulin emerged as a determinant of %ASM independently of HOMA-IR in young women (standardized ß: 0.287, p < 0.001, R2 = 0.077). In middle-aged women, the Matsuda index emerged as a determinant of %ASM (standardized ß: 0.476, p < 0.001) independently of HOMA-IR, log ODI and AUCg and explained 21.3 % of %ASM variability. Post-glucose glycemia and AUCg were higher and log ODI was lower in middle-aged women with low compared with high %ASM. Conclusion: Low skeletal muscle mass (relative to body size) was associated with low insulin sensitivity in young and middle-aged Japanese women who were neither obese nor diabetic. Middle-aged women with low muscle mass had low disposition index, an early marker of inadequate pancreatic ß-cell compensation, and hence high glucose excursion. Low skeletal muscle mass may be associated with the development of type 2 diabetes at a much lower BMI in Japanese people.

Manipulation of Post-Prandial Hyperglycaemia in Type 2 Diabetes: An Update for Practitioners.

This review paper explores post-prandial glycemia in type 2 diabetes. Post-prandial glycemia is defined as the period of blood glucose excursion from immediately after the ingestion of food or drink to 4 to 6 hours after the end of the meal. Post-prandial hyperglycemia is an independent risk factor for cardiovascular disease with glucose "excursions" being more strongly associated with markers of oxidative stress than the fasting or pre-prandial glucose level. High blood glucose is a major promoter of enhanced free radical production and is associated with the onset and progression of type 2 diabetes. Oxidative stress impairs insulin action creating a vicious cycle where repeated post-prandial glucose spikes are key drivers in the pathogenesis of the vascular complications of type 2 diabetes, both microvascular and macrovascular. Some authors suggest post-prandial hyperglycemia is the major cause of death in type 2 diabetes. Proper management of post-prandial hyperglycemia could yield up to a 35% cut in overall cardiovascular events, and a 64% cut in myocardial infarction. The benefits of managing post-prandial hyperglycemia are similar in magnitude to those seen in type 2 diabetes patients receiving secondary prevention with statins - prevention which today is regarded as fundamental by all practitioners. Given all the evidence surrounding the impact of post-prandial glycemia on overall outcome, it is imperative that any considered strategy for the management of type 2 diabetes should include optimum dietary, pharma, and lifestyle interventions that address glucose excursion. Achieving a low post-prandial glucose response is key to prevention and progression of type 2 diabetes and cardiometabolic diseases. Further, such therapeutic interventions should be sustainable and must benefit patients in the short and long term with the minimum of intrusion and side effects. This paper reviews the current literature around dietary manipulation of post-prandial hyperglycemia, including novel approaches. A great deal of further work is required to optimize and standardize the dietary management of post-prandial glycemia in type 2 diabetes, including consideration of novel approaches that show great promise.

Postprandial Glucose Excursions with Ultra-Rapid Insulin Analogs in Hybrid Closed-Loop Therapy for Adults with Type 1 Diabetes.

Objective: To evaluate postprandial glucose control when applying (1) faster-acting insulin aspart (Fiasp) compared to insulin aspart and (2) ultra-rapid insulin lispro (Lyumjev) compared to insulin lispro using the CamAPS FX hybrid closed-loop algorithm. Research Design and Methods: We undertook a secondary analysis of postprandial glucose excursions from two double-blind, randomized, crossover hybrid closed-loop studies contrasting Fiasp to standard insulin aspart, and Lyumjev to standard insulin lispro. Endpoints included incremental area under curve (iAUC)-2h, iAUC-4h, 4 h postprandial time in target range, time above range, and time below range. It was approved by independent research ethics committees. Results: Two trials with 8 weeks of data from 51 adults with type 1 diabetes were analyzed and 7137 eligible meals were included. During Lyumjev compared with insulin lispro, iAUC-2h and iAUC-4h were significantly decreased following breakfast (mean difference 92 mmol/L per 2 h (95% confidence interval [CI]: 56 to 127); P < 0.001 and 151 mmol/L per 4 h (95% CI: 74 to 229); P < 0.001, respectively) and the evening meal (P < 0.001 and P = 0.011, respectively). Mean time in target range (3.9-10.0 mmol/L) for 4 h postprandially significantly increased during Lyumjev with a mean difference of 6.7 percentage points (95% CI: 3.3 to 10) and 5.7 percentage points (95% CI: 1.4 to 9.9) for breakfast and evening meal, respectively. In contrast, there were no significant differences in iAUC-2h, iAUC-4h, and the other measures of postprandial glucose control between insulin aspart and Fiasp during breakfast, lunch, and evening meal (P > 0.05). Conclusion: The use of Lyumjev with CamAPS FX closed-loop system improved postprandial glucose excursions compared with insulin lispro, while the use of Fiasp did not provide any advantage compared with insulin aspart. Clinical Trial Registration numbers: NCT04055480, NCT05257460.

Timing and Nutrient Type of Isocaloric Snacks Impacted Postprandial Glycemic and Insulinemic Responses of the Subsequent Meal in Healthy Subjects.

The aim of the study was to explore the impact of both the macronutrient composition and snacking timing on the postprandial glycemic insulinemic responses and food intake. Seventeen healthy female volunteers completed the randomized crossover trials. The volunteers were provided a standard breakfast and lunch at 8:00 and 13:00, respectively, and an ad libitum dinner at 18:00. Provided at either 10:30 (midmorning) or 12:30 (preload), the glycemic effects of the three types of 70 kcal snacks, including chicken breast (mid-C and pre-C), apple (mid-A and pre-A), and macadamia nut (mid-M and pre-M), were compared with the non-snack control (CON), evaluated by continuous glucose monitoring (CGM). The mid-M showed increased insulin resistance after lunch compared with CON, while the pre-M did not. The pre-A stabilized the glycemic response in terms of all variability parameters after lunch, while the mid-A had no significant effect on postprandial glucose control. Both the mid-C and pre-C improved the total area under the glucose curve, all glycemic variability parameters, and the insulin resistance within 2 h after lunch compared with CON. The pre-C attained the lowest energy intake at dinner, while the mid-A and the mid-M resulted in the highest. In conclusion, the chicken breast snack effectively stabilized postprandial glycemic excursion and reduced insulin resistance while the macadamia snack did not, regardless of ingestion time. Only as a preload could the apple snack mitigate the glucose response after the subsequent meal.

Effects of glucagon-like peptide-1 receptor agonists on glucose excursion and inflammation in overweight or obese type 2 diabetic patients.

BACKGROUND: Currently, the lack of comparative studies between weekly and daily formulations of glucagon-like peptide-1 receptor agonists (GLP-1RAs) for glucose excursion is worth investigation. AIM: To investigate the effects of weekly and daily formulations of GLP-1RA on glucose excursion and inflammation in overweight and obese patients with type 2 diabetes. METHODS: Seventy patients with type 2 diabetes mellitus who were treated at our hospital between January 2019 and January 2022 were enrolled in this retrospective analysis. All patients were treated with metformin. We evaluated changes in blood glucose levels and a series of important indicators in patients before and after treatment with either a weekly or daily preparation of GLP-1RA (group A; n = 33 and group B; n = 37). RESULTS: The degree of decrease in the levels of fasting blood glucose, mean blood glucose, mean amplitude of glycemic excursions, total cholesterol, triglycerides, tumor necrosis factor-α, interleukin-6, and high-sensitivity C-reactive protein after treatment in group A was higher than that in group B (P < 0.05), whereas the 2-h postprandial blood glucose levels decreased more so in group B than in group A (P < 0.001). However, there were no statistically significant differences in the levels of glycated hemoglobin, standard deviation of blood glucose, coefficient of variation, absolute mean of daily differences, percentage of time with 3.9 mmol/L < glucose < 10 mmol/L, and high- and low-density lipoproteins between the two groups (P > 0.05). The incidence of adverse reactions was significantly lower in group A than in group B (P < 0.05). CONCLUSION: The effect of the weekly preparation of GLP-1RA in controlling blood glucose levels in the patients, suppressing inflammation, and reducing adverse reactions was significantly higher than that of the daily preparations, which is worthy of clinical promotion.

Real-time Assessment of the Bidirectional Relationship Between Affective States and Glucose: Protocol for a 14-Day Observational Study.

BACKGROUND: Glucose variability increases cardiometabolic disease risk. While many factors can influence glucose levels, postprandial glucose response is the primary driver of glucose variability. Furthermore, affect may directly and indirectly impact glucose variability through its effect on eating behavior. Continuous glucose monitors (CGMs) facilitate the real-time evaluation of blood glucose, and ecological momentary assessment (EMA) can be used to assess affect in real time. Together, data collected from these sources provide the opportunity to further understand the role of affect in glucose levels. OBJECTIVE: This paper presents the protocol for a study that aims to (1) evaluate the feasibility and acceptability of using CGMs along with EMA in nondiabetic populations and (2) examine the bidirectional relationship between affect and glucose in nondiabetic adults with overweight or obesity using a CGM and EMA. METHODS: Eligibility criteria for the study include participants (1) aged 18 to 65 years old, (2) with a BMI of ≥25 kg/m2, (3) who are able to read and write in English, and (4) who own a smartphone. Individuals will be excluded if they (1) have type 1 or 2 diabetes or have any other condition that requires glucose monitoring, (2) are pregnant, (3) use any medications that have the potential to alter blood glucose levels or interfere with the glucose sensing process, or (4) have a diagnosed gastrointestinal condition or eating disorder. In a 14-day observational study, participants will wear a FreeStyle Libre Pro CGM sensor (Abbott) and will receive mobile phone-based EMA prompts 6 times per day (randomly within six 2-hour windows between 8 AM and 8 PM) to assess positive and negative affect. Participants will also wear a Fitbit Inspire 2 (Fitbit) to continuously monitor physical activity and sleep, which will be included as covariates in the analysis. Multilevel linear regression models will be used to evaluate the acute relationship between glucose level and affect. RESULTS: Recruitment started in October 2022 and is expected to be completed in March 2023. We will aim to recruit 100 participants. As of December 12, 2022, a total of 39 participants have been enrolled. CONCLUSIONS: The results of this study will further elucidate the role of affect in glucose variability. By identifying affective states that may lead to glucose excursions, our findings could inform just-in-time behavioral interventions by indicating opportunities for intervention delivery. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/45104.

Postprandial Glucose Excursions in Asian Versus Non-Asian Patients with Type 2 Diabetes: A Post Hoc Analysis of Baseline Data from Phase 3 Randomised Controlled Trials of IDegAsp.

INTRODUCTION: Increased postprandial glucose (PPG) is associated with high glycated haemoglobin levels and is an independent risk factor for cardiovascular diseases. The aim of this study was to compare PPG increments in Asian versus non-Asian adults with type 2 diabetes (T2D), who were insulin-naïve or insulin-experienced, from the phase 3 insulin degludec/insulin aspart (IDegAsp) clinical trials. METHODS: This was a post hoc analysis of data from 13 phase 3, randomised, parallel-group, open-label IDegAsp trials in patients with T2D. The pooled baseline clinical data were analysed for insulin-naïve and insulin-experienced groups; and each group was split into subgroups of Asian and non-Asian patients, respectively, and analysed accordingly. Baseline self-monitored blood glucose (SMBG) values at breakfast, lunch and the evening meal (before and 90 min after each meal) were used to assess PPG increments. The estimated differences in baseline SMBG increment between the Asian and non-Asian subgroups were analysed. RESULTS: Clinical data from 4750 participants (insulin-naïve, n = 1495; insulin-experienced, n = 3255) were evaluated. In the insulin-naïve group, the postprandial SMBG increment was significantly greater in the Asian versus the non-Asian subgroup at breakfast (estimated difference 28.67 mg/dL, 95% confidence interval [CI] 18.35, 38.99; p < 0.0001), lunch (17.34 mg/dL, 95% CI 6.47, 28.21; p = 0.0018) and the evening meal (16.19 mg/dL, 95% CI 5.04, 27.34; p = 0.0045). In the insulin-experienced group, the postprandial SMBG increment was significantly greater in the Asian versus non-Asian subgroup at breakfast (estimated difference 13.81 mg/dL, 95% CI 9.19, 18.44; p < 0.0001) and lunch (29.18 mg/dL, 95% CI 24.22, 34.14; p < 0.0001), but not significantly different at the evening meal. CONCLUSION: In this post hoc analysis, baseline PPG increments were significantly greater in Asian participants with T2D than in their non-Asian counterparts at all mealtimes, with the exception of the evening meal in insulin-experienced participants. Asian adults with T2D may benefit from the use of regimens that control PPG excursions. CLINICAL TRIAL NUMBERS: NCT02762578, NCT01814137, NCT01513590, NCT01009580, NCT01713530, NCT02648217, NCT01045447, NCT01365507, NCT01045707, NCT01272193, NCT01059812, NCT01680341, NCT02906917.

Feruloyl Sucrose Esters: Potent and Selective Inhibitors of α-glucosidase and α-amylase.

INTRODUCTION: Feruloyl Sucrose Esters (FSEs) are a class of Phenylpropanoid Sucrose Esters (PSEs) widely distributed in plants. They were investigated as potential selective Alpha Glucosidase Inhibitors (AGIs) to eliminate the side effects associated with the current commercial AGIs. The latter effectively lowers blood glucose levels in diabetic patients but causes severe gastrointestinal side effects. METHODS: Systematic structure-activity relationship (SAR) studies using in silico, in vitro and in vivo experiments were used to accomplish this aim. FSEs were evaluated for their in vitro inhibition of starch and oligosaccharide digesting enzymes α-glucosidase and α- amylase followed by in silico docking studies to identify the binding modes. A lead candidate, FSE 12 was investigated in an STZ mouse model. RESULTS: All active FSEs showed desired higher % inhibition of α-glucosidase and desired lower inhibition of α -amylase in comparison to AGI gold standard acarbose. This suggests a greater selectivity of the FSEs towards α -glucosidase than α -amylase, which is proposed to eliminate the gastrointestinal side effects. From the in vitro studies, the position and number of the feruloyl substituents on the sucrose core, the aromatic 'OH' group, and the diisopropylidene bridges were key determinants of the % inhibition of α - glucosidase and α -amylase. In particular, the diisopropylidene bridges are critical for achieving inhibition selectivity. Molecular docking studies of the FSEs corroborates the in vitro results. The molecular docking studies further reveal that the presence of free aromatic 'OH' groups and the substitution at position 3 on the sucrose core are critical for the inhibition of both the enzymes. From the in vitro and molecular docking studies, FSE 12 was selected as a lead candidate for validation in vivo. The oral co-administration of FSE 12 with starch abrogated the increase in post-prandial glucose and significantly reduced blood glucose excursion in STZ-treated mice compared to control (starch only) mice. CONCLUSION: Our studies reveal the potential of FSEs as selective AGIs for the treatment of diabetes, with a hypothetical reduction of side effects associated with commercial AGIs.

Postload glucose spike but not fasting glucose determines prognosis after myocardial infarction in patients without known or newly diagnosed diabetes.

BACKGROUND: The effect of postload glucose spikes (PGS), the difference between 2 hour post-load plasma glucose (2hPLPG) and fasting plasma glucose (FPG), on post-myocardial infarction (post-MI) prognosis in nondiabetic patients is unexplored. METHODS: This is a retrospective cohort analysis of 847 nondiabetic post-MI survivors who underwent a predischarge oral glucose tolerance test (median PGS: 2.4 mmol/L). Patients were divided into the unmatched groups 1 and 2 (PGS ≤ and > 2.4 mmol/L) and the propensity score-matched groups 1M and 2M (355 pairs assembled from the overall cohort), and these groups were compared. Major adverse cardiac events (MACE: death and nonfatal reinfarction) were recorded during follow-up (median: 3.4 years). Event-free survival was compared by the Kaplan-Meier method. Multivariate Cox proportional hazards regression determined the predictors of MACE. C-statistics (change in area under the curve, δAUC), continuous net reclassification improvement (NRI>0 ), and integrated discrimination improvement (IDI) were used to compare models. RESULTS: The number of MACE was higher in groups 2 (27.3% vs 14.2%, P < .001) and 2M (24.5% vs 15.5%, P < .001). Event-free survival was worse in groups 2 (hazard ratio [HR] 2.01; 95% CI, 1.49-2.71; P < .001) and 2M (HR 1.63; 95% CI, 1.17-2.27; P = .004). PGS independently predicted MACE-free survival in the whole (HR 1.16; 95% CI, 1.06-1.26; P = .002) and matched cohort (HR 1.12; 95% CI, 1.02-1.24; P = .021). PGS, but not FPG or 2hPPG, improved the predictive performance of the base model (δAUC 0.013, P = .046), with greater improvement seen when PGS was added and compared to 2hPPG (δAUC 0.005, P = .034; NRI>0 0.2107, P = .013; IDI 0.0042, P = .046). CONCLUSION: PGS is a better predictor of post-MI prognosis than 2hPPG in nondiabetic patients.

Comparison of Blood Glucose Variability Between Exenatide and Biphasic Insulin Aspart 30 in Chinese Participants with Type 2 Diabetes Inadequately Controlled with Metformin Monotherapy: A Multicenter, Open-Label, Randomized Trial.

INTRODUCTION: To compare blood glucose variability (GV) in Chinese participants with type 2 diabetes mellitus (T2DM) whose blood glucose levels are inadequately controlled with metformin monotherapy after twice-daily exenatide or biphasic insulin aspart 30 (BIAsp30). METHODS: In this 16-week multicenter, randomized clinical trial, 104 participants were randomized 1:1 to receive exenatide (exenatide group) or BIAsp30 (BIAsp30 group) twice daily. All participants continued metformin treatment. The primary outcome was the change in GV as measured by a continuous glucose monitoring system (CGMS) from baseline to 16 weeks. RESULTS: At 16 weeks, both the Exenatide and BIAsp30 groups effectively decreased mean glucose (MG), but neither group changed the mean amplitude of glycemic excursion (MAGE), largest amplitude of glycemic excursion (LAGE), mean of daily difference (MODD), or standard deviation of blood glucose (SDBG). The decrease in 2-h post-breakfast glucose excursions was greater in the Exenatide group compared to the BIAsp30 group, with a least square (LS) mean difference [95% CI] of (1.58 [0.53, 2.63]). Exenatide also significantly reduced 2-h post-lunch glucose excursion compared to BIAsp30 (LS mean difference [95% CI], 1.19 [0.18, 2.20]). The Exenatide group had significantly reduced body weight and body mass index (BMI), while the BIAsp30 group had increased weight and had no change in BMI. Both treatments were well tolerated with no serious hypoglycemic events and with fewer identified hypoglycemic events in the Exenatide group than in the BIAsp30 group (5.77% vs. 17.31%, P < 0.01). CONCLUSION: Although there was no difference in change of GV between Exenatide and BIAsp30, exenatide provided more improvement in postprandial glucose excursion and weight control, without increasing the risk of hypoglycemia in Chinese patients with T2DM whose blood glucose was inadequately controlled with metformin. These findings may provide new options for patients who choose further hypoglycemic treatment, especially in patients with obesity who have large postprandial plasma glucose excursions. TRIAL REGISTRATION: ClinicalTrials.gov indentifier: NCT02449603.

Glycaemic variability is associated with adverse cardiovascular outcomes in patients hospitalised with an acute myocardial infarction.

Unlike admission hyperglycaemia, there is significant controversy surrounding whether acute glycaemic variability is associated with major adverse cardiovascular events (MACE) in patients immediately after an acute myocardial infarction (AMI). We conducted a retrospective post-hoc analysis in an AMI population and determined fluctuating glycaemia is associated with a higher risk of 3-month MACE.

Higher circulating adiponectin and lower orosomucoid were associated with postload glucose ≤70 mg/dL, a possible inverse marker for dysglycemia, in young Japanese women.

Objective: To examine whether serum adiponectin and orosomucoid were associated with postload glucose ≤70 mg/dL during an oral glucose tolerance test (OGTT), termed as postload low glycemia, a possible inverse marker for dysglycemia. Research design and methods: 75 g OGTTs were performed with multiple postload glucose and insulin measurements over a 30-120 min period in 168 normal-weight Japanese women (18-24 years). Insulin resistance (IR) and ß-cell function inferred from serum insulin kinetics during OGTT, fat mass and distribution by dual-energy X-ray absorptiometry (DXA), serum adiponectin and inflammatory markers were compared cross-sectionally between 39 women with and 129 women without postload low glycemia. Results: Of 168 women, 161 had normal glucose tolerance. Women with as compared with those without postload low glycemia had lower fasting and postload glycemia despite similar fasting and postload insulinemia. They had higher insulinogenic index (p=0.03) and lower adipose IR (a product of fasting free fatty acid and insulin, p=0.01), although DXA-derived general and central adiposity, the Matsuda Index and homeostasis model assessment-IR did not differ. In addition, they had higher adiponectin and lower orosomucoid (both p<0.001). Multivariate logistic regression analyses revealed that adiponectin (OR: 1.14, 95% CI 1.03 to 1.26, p=0.009) and orosomucoid (0.96, 0.93 to 0.97, p=0.008) were associated with postload low glycemia independently of adipose IR and insulinogenic index. Conclusions: Higher adiponectin and lower orosomucoid were associated with 70 or lower mg/dL of postload glucose, a possible inverse marker for dysglycemia, in young women independently of DXA-derived fat mass and distribution, insulin secretion and IR.

Impact of glycemic variability on left ventricular function in patients with acute ST-segment elevation myocardial infarction and type 2 diabetes / 中国综合临床

Objective To assess the impact of glycemic variability on left ventricular function in patients with acute ST-segment elevation myocardial infarction (STEMI) and type 2 diabetes.Methods Three hundred and three patients with type 2 diabetes and first STEMI between May 2014 and December 2016 in Beijing Anzhen Hospital,Capital Medical University were seclected continuously.All participants' continuous glucose monitoring system (CGMS) parameters,echocardiogram and biochemical characteristics were measured at baseline.According to the level of mean amplitude of glycemic excursion (MAGE) which is the gold indicator to present glycemic variability patients were classified into low MAGE group (n=182) and high MAGE group (n =117).Impact of glycemic variability on left ventricular function in patients with acute ST-segment elevation myocardial infarction and type 2 diabetes were analysed.Results (1) Cardiac function evaluation:The level of left ventricular ejection fraction (LVEF) were significantly lower in high MAGE group than in low MAGE group ((43.8± 7.2) vs.(52.3± 8.5) ％,t =4.912,P＜ 0.001).There were significant differences between the two groups in Killip classification (x2 =49.931,P＜ 0.001).(2) Pearson correlation analysis shows that LVEF negatively correlated with the levels of MAGE(r=-0.367,P＜0.001),postprandial glucose excursion (PPGE) (r=-0.274,P=0.003),Hemoglobin A1c(HbA1c) (r=-0.238,P =0.010),serum highsensitive C-reactive protein (hs-CRP) via logarithmic transformation (r =-0.245,P =0.008) and fasting plasma glucose (FPG) (r =-0.229,P =0.021).Killip classification positively correlated with the levels of MAGE (r =0.301,P ＜ 0.001),PPGE (r =0.228,P =0.022),hs-CRP via logarithmic transformation (r =0.234,P =0.019),H bA 1 c (r =0.195,P =0.041) and FPG (r =0.193,P =0.045).(3) Multiple stepwise regression analysis and multivariate Logistic regression analysis indicated that the level of MAGE was independent risk factor of LVEF (t =-2.279,P =0.005,95％ CI(-3.160 -0.219)) and the level of MAGE was an independent risk factor of Killip classification (Waldx2 =5.673,OR=1.665,95％CI(1.095-2.534),P=0.017).Conclusion Glycemic variability is associated with the presence and severity of left ventricular function in patients with STEMI and type 2 diabetes.

Consuming Carbohydrates after Meat or Vegetables Lowers Postprandial Excursions of Glucose and Insulin in Nondiabetic Subjects.

We aimed to examine the effects of variable timing of carbohydrate intake on postprandial glucose and insulin excursion in a diet with the same levels of energy and balance of three major nutrients. The study subjects included 8 healthy individuals, mean age 20.0±1.2 y (4 males and 4 females; mean age, 19.1±0.7 and 20.8±0.9 y, respectively), without a family history of diabetes. They consumed a test meal consisting of three separate plates of rice, vegetables, and meat after an overnight fast. The subjects consumed the three plates in different orders on three different days; the subsequent changes in glucose and insulin levels were measured over a 120-min period. The participants who consumed rice at the end showed a significantly lower increase in glucose and insulin levels after 30 min of consumption than that shown by participants who consumed rice first. The areas under the curves for both glucose and insulin responses over 120 min were the least when rice was consumed last, whereas they were the greatest when rice was consumed first. These findings suggested that consuming carbohydrates at the end of a meal is associated with lower postprandial excursions of glucose and insulin. In conclusion, consuming carbohydrates last following vegetables and meat protects against postprandial excursions of glucose and insulin levels.

Blood glucose profiles in East Asian and Caucasian injection-naive patients with type 2 diabetes inadequately controlled on oral medication: a pooled analysis.

AIM: The primary objective of this study was to compare blood glucose (BG) excursions between East Asian and Caucasian patients with type 2 diabetes mellitus (T2DM) who were injection-naive, had inadequate glycemic control with oral antihyperglycemic medications, and who required initiation with injectable therapy. METHODS: This retrospective pooled analysis included individual patient data from completed clinical trials (Insulin lispro injection/dulaglutide development programs, first patient visit ≥1997). All included patients were ≥18 years, were East Asian or Caucasian, and had data for self-monitored BG at baseline. The primary outcome, BG excursion at baseline (least-squares mean, standard error), was compared between patient groups using an analysis of covariance with race as the fixed effect. Independent covariates included baseline body weight, baseline HbA1c, age, and duration of T2DM. RESULTS: Caucasian (n = 6779) and East Asian (n = 1638) patients from 21 trials were included. BG excursions were significantly higher for East Asian than Caucasian patients at breakfast (4.03 [0.075] vs 2.59 [0.045] mmol/L), lunch (3.37 [0.080] vs 1.43 [0.049] mmol/L), and dinner (3.16 [0.080] vs 1.74 [0.047] mmol/L) (P < 0.001 adjusted analyses). Similar findings were observed for the unadjusted analyses. At each time point, postprandial BG was significantly higher for East Asian than Caucasian patients (with adjusted and unadjusted analyses). CONCLUSION: These findings suggest that BG excursion and postprandial BG are higher among East Asian patients with T2DM than Caucasian patients. In addition, these findings may help clinicians select appropriate treatments for East Asian patients with T2DM who require injection therapy.

Reduction of glycemic variability with Degludec insulin in patients with unstable diabetes.

INTRODUCTION: Degludec (IDeg) is an ultralong-acting insulin, with stable pharmacodynamic profile which leads to lower fluctuations in glucose levels. The effect of IDeg has not been specifically assessed in patients with unstable diabetes, defined as increased glycemic variability (GV). METHODS: A prospective before-after pilot study was conducted, including patients managed at Hospital Universitario San Ignacio in Bogotá, Colombia. The impact of the switch from a Glargine or Detemir insulin to a basal insulin regimen with IDeg for 12 weeks on GV measured by continuous glucose monitoring, on A1c levels, and on the incidence of episodes of global and nocturnal hypoglycemia was assessed in a group of patients with (coefficient of variation >34%) or without increased basal GV using a Generalised Estimating Equation (GEE) analysis. RESULTS: 60 patients with basal bolus therapy and history of hypoglycemia were included. 18 patients had High GV (HGV). In this group a significant reduction of 11.1% of CV (95% CI: 6.3, 15.9, p = 0.01) was found. GEE analysis confirmed a higher impact over time on patients with HGV (p < 0.001). The percentage of patients with at least 1 episode of hypoglycemia decreased from 66.6% to 22.2% (p = 0.02) and from 37.14% to 5.71% (p < 0.01) for global and nocturnal hypoglycemia, respectively. Changes were not significant in patients with low GV. A reduction of A1c was observed in both groups (p < 0.001). CONCLUSIONS: The results suggest that treatment with IDeg reduces GV, A1c levels and the incidence of global and nocturnal hypoglycemia events in patients with HGV, but not in patients with low GV.

Association of serum orosomucoid with 30-min plasma glucose and glucose excursion during oral glucose tolerance tests in non-obese young Japanese women.

OBJECTIVE: Inflammatory markers are elevated in insulin resistance (IR) and diabetes. We tested whether serum orosomucoid (ORM) is associated with postload glucose, ß-cell dysfunction and IR inferred from plasma insulin kinetics during a 75 g oral glucose tolerance test (OGTT). RESEARCH DESIGN AND METHODS: 75 g OGTTs were performed with multiple postload glucose and insulin measurements over a 30-120 min period in 168 non-obese Japanese women (aged 18-24 years). OGTT responses, serum adiponectin and high-sensitivity C reactive protein (hsCRP) were cross-sectionally analyzed by analysis of variance and then Bonferroni's multiple comparison procedure. Stepwise multivariate linear regression analyses were used to identify most important determinants of ORM. RESULTS: Of 168 women, 161 had normal glucose tolerance. Postload glucose levels and the area under the glucose curve (AUCg) increased in a stepwise fashion from the first through the third ORM tertile. In contrast, there was no or modest, if any, association with fat mass index, trunk/leg fat ratio, adiponectin, hsCRP, postload insulinemia, the Matsuda index and homeostasis model assessment IR. In multivariable models, which incorporated the insulinogenic index, the Matsuda index and HOMA-IR, 30 min glucose (standardized ß: 0.517) and AUCg (standardized ß: 0.495) explained 92.8% of ORM variations. CONCLUSIONS: Elevated circulating orosomucoid was associated with elevated 30 min glucose and glucose excursion in non-obese young Japanese women independently of adiposity, IR, insulin secretion, adiponectin and other investigated markers of inflammation. Although further research is needed, these results may suggest a clue to identify novel pathways that may have utility in monitoring dysglycemia within normal glucose tolerance.

Glucose excursions and hypoglycemia in patients with type 2 diabetes treated with mitiglinide/voglibose versus glimepiride: A randomized cross-over trial.

BACKGROUND: Glucose excursions and hypoglycemia are associated with cardiovascular complications. However, no studies have evaluated glucose excursions and the frequency of hypoglycemia in patients treated with mitiglinide/voglibose versus glimepiride as add-on to dipeptidyl peptidase-4 inhibitor therapy. METHODS: This cross-over trial included 20 patients with type 2 diabetes. After initiating vildagliptin 100 mg, patients were randomly assigned to receive mitiglinide 10 mg/voglibose 0.2 mg three times daily for 3 days followed by glimepiride 1 mg once daily for the subsequent 3 days as add-on therapy, or vice versa. Glucose excursions and hypoglycemia frequency were measured using 24-h continuous glucose monitoring. Metabolic profile changes were evaluated using a meal tolerance test. RESULTS: The mean glucose levels in the mitiglinide/voglibose and glimepiride phases were identical (8.01 vs 8.24 mmol/L, respectively). However, during the mitiglinide/voglibose phase compared with the glimepiride phase, the standard deviation of glucose (1.30 vs 2.10 mmol/L; P < 0.001), mean amplitude of glycemic excursions (3.47 vs 5.28 mmol/L; P < 0.001), M-value (24.6 vs 70.0; P < 0.001), continuous overlapping net glycemic action for a 1-h time interval (22.6 vs 31.0; P < 0.001), and area under the curve >10 mmol/L (0.18 vs 0.52 mmol/L per h; P < 0.001) were significantly lower. Hypoglycemia (glucose <3.8 mmol/L) was not observed during the mitiglinide/voglibose phase, but occurred 0.35 times/day in those taking glimepiride. Moreover, the mitiglinide/voglibose phase had higher premeal and lower post-meal glucose levels than the glimepiride phase. CONCLUSIONS: Adding mitiglinide/voglibose to vildagliptin therapy results in more efficient postprandial glucose control and less hypoglycemia than adding glimepiride.

Association of lower body mass index with increased glycemic variability in patients with newly diagnosed type 2 diabetes: a cross-sectional study in China.

Previous studies have indicated that the pathogenesis of diabetes differs between obese and lean patients. We investigated whether newly diagnosed Chinese diabetic patients with different body mass indices (BMIs) have different glycemic variability, and we assessed the relationship between BMI and glycemic variability. This was a cross-sectional study that included 169 newly diagnosed and drug-naïve type 2 diabetic patients (mean age, 51.33 ± 9.83 years; 110 men). The clinical factors and results of the 75-g oral glucose tolerance test were all recorded. Glycemic variability was assessed using continuous glucose monitoring. Compared with overweight or obese patients (BMI ≥ 24 kg/m2), underweight or normal-weight patients (BMI < 24 kg/m2) had higher levels of blood glucose fluctuation parameters, particularly in terms of mean amplitude of glycemic excursion (MAGE 6.64 ± 2.38 vs. 5.67 ± 2.05; P = 0.007) and postprandial glucose excursions (PPGEs) (PPGE at breakfast, 7.72 ± 2.79 vs. 6.79 ± 2.40, P = 0.028; PPGE at lunch, 5.53 ± 2.70 vs. 5.07 ± 2.40, P = 0.285; PPGE at dinner, 5.96 ± 2.24 vs. 4.87 ± 2.50, P = 0.008). BMI was negatively correlated with glycemic variability (r = -0.243, P = 0.002). On multiple linear regression analyses, BMI (ß = -0.231, P = 0.013) and Insulin Secretion Sensitivity Index-2 (ß = -0.204, P = 0.048) were two independent predictors of glycemic variability. In conclusion, lower BMI was associated with increased glycemic variability, characterized by elevated PPGEs, in newly diagnosed Chinese type 2 diabetic patients.