Tolerance Curve Research Articles

TrkB Receptor Antagonism Enhances Insulin Secretion and Increases Pancreatic Islet Size in Rats Fed a Cafeteria-Style Diet.

Background: In recent years, the role of neurotrophins and their receptors in peripheral tissues has been of great interest. At a metabolic level, the brain-derived neurotrophic factor (BDNF) and its receptor trkB have been reported to participate in insulin secretion from the pancreas in response to increases in circulating blood glucose. Objetive: To determines the role of the BDNF-trkB pathway in insulin secretion and pancreatic morphology in rats fed a cafeteria-style diet for 16 weeks. Methods: For the study, male rats of the Wistar strain were divided into three groups as follows: (1) control group (standard diet), (2) CAF group (cafeteria-style diet) and (3) CAF group treated with ANA-12 (TrkB receptor antagonist). After 4 months of intervention, the glucose and insulin tolerance curves, serum insulin levels, body fat and hematoxylin-eosin staining pancreas were evaluated. Results: The results showed that the cafeteria-style diet induced an increase in the amount of body fat, alterations in the glucose tolerance curve, increased insulin circulation levels, increased HOMA indices and increased pancreatic islet size. The antagonism of the trkB receptor in the rats fed a cafeteria-style diet enhanced some effects such as the accumulation of body fat and insulin secretion and induced a greater increase in the pancreas islet size. Conclusions: Under conditions of cafeteria-style diet-induced obesity, the antagonism of the BDNF-trkB pathway had no enhanced effect on the increase in insulin secretion or pancreatic islet size.

Weight gain during pregnancy and the probability of macrosomia in women with gestational diabetes

Objective. To analyze the association between gestational weight gain in women with gestational diabetes and an increased risk of macrosomia. Materials and methods. Cohort study with 139 pregnant women screened by a single-step oral glucose tolerance curve between 24-28 weeks of gestation were confirmed with gestational diabetes and sent to a hospital. Pre-pregnancy body mass index (BMI) was calculated from pre-pregnancy weight. Weight was measured at each prenatal consultation. The reference category was women with normal prenatal BMI who gained appropriate weight during pregnancy. At each visit, medical nutrition therapy (MNT) consisted of nutritional counseling, physical activity plan, and insulin therapy. Compliance with MNT was measured by capillary glucose measurements taken by each participant at home. Results. 74.8% were primiparous, and 28.8% had normal pre-pregnancy BMI. The no linear logistic regression model showed women with normal pre-pregnancy BMI had twice (OR= 2.08, 95%CI: 1.07,4.05) the possibility of macrosomia, compared to mothers with overweight or obesity, adjusting for Capurro index, number of children in the family, and percent of compliance MNT. Macrosomia was the most prevalent childhood complication (12.3%). Conclusion. Women with normal pre-pregnancy BMI who gained more weight during pregnancy were at higher risk of having macrosomic infants.

Hypoglycemic Activity of the Hydroalcoholic Extract of Porophyllum ruderale in CD1 Mice.

Diabetes, considered one of the main causes of death in the Mexican population, is a chronic disease caused by alterations in the synthesis of pancreatic insulin or because it is not used effectively by the body. Insufficient action of insulin causes hyperglycemia, which, if not controlled, causes damage to blood capillaries and nerve endings over time, affecting the functioning of various organs and systems. As mentioned above, controlling glucose levels in the population suffering from chronic diseases becomes an essential part of their treatment. The aim of this study was to evaluate the hypoglycemic effect of a hydroalcoholic extract of the aerial parts of Porophyllum ruderale (HEPr). A glucose tolerance curve was developed by monitoring at different times (0-120 min) glucose levels in blood samples taken from an apical tail slice of CD1 mice. HEPr showed a significant effect from baseline on basal glucose levels (114.33 ± 14.74 mg/dL) compared with the control group (60.33 ± 4.16 mg/dL) and the metformin-treated group (129 ± 13 mg/dL). In addition, the values at the end of the tolerance curve (120 min) showed a significant decrease in the study group (66 ± 10.39 mg/dL) compared with the metformin-treated group (108.67 ± 4.50 mg/dL). This effect can be attributed to the presence of chlorogenic acid, cryptochlorogenic acid, ferulic acid, quercetin, and kaempferol 3-O-glucosides in HEPr. In conclusion, P. ruderale constitutes an important source of compounds for use as an adjuvant treatment for the control of hypoglycemia in different chronic diseases.

Privacy preserving verifiable federated learning scheme using blockchain and homomorphic encryption

This paper introduces a novel Privacy-Preserving Verifiable Federated Learning (PPVFL) scheme that integrates blockchain technology and homomorphic encryption to address critical challenges in decentralized machine learning. The proposed scheme ensures data privacy, integrity, verifiability, robust security, and efficiency in collaborative learning environments, particularly in sensitive domains such as healthcare. By leveraging blockchain’s decentralized, immutable ledger and homomorphic encryption’s capability to perform computations on encrypted data, the model maintains the confidentiality of sensitive information throughout the learning process. The inclusion of Byzantine fault tolerance and Elliptic Curve Digital Signature Algorithm (ECDSA) further enhances the system’s security against malicious attacks and data tampering, while the optimization of computational processes ensures efficient model training and communication. The novelty of this work lies in the seamless integration of blockchain and homomorphic encryption within a federated learning framework, specifically tailored for post-quantum cryptography, a combination that has not been extensively explored in prior research. This research represents a significant advancement in secure and efficient federated learning, offering a promising solution for industries that prioritize data privacy, security, and trust in collaborative machine learning. The effectiveness, security, and efficiency of the PPVFL scheme were validated using the Glaucoma dataset. The proposed method outperformed baseline federated learning algorithms, achieving a Dice coefficient of 0.918 and a Hausdorff distance of 4.05 on Severe Glaucoma (SG) cases, compared to 0.905 and 5.27, respectively, with traditional FedAvg. Moreover, the integration of blockchain and homomorphic encryption ensured that data privacy was upheld without compromising model performance, while efficient computation and communication processes minimized latency and resource consumption. This study contributes a robust, privacy-preserving, secure, efficient, and verifiable federated learning framework that addresses the pressing need for secure and scalable data management in distributed machine learning environments.

Oral glucose tolerance test curve shape in Mexican children and adolescents with and without obesity.

Mexican children with obesity are at a higher risk of developing type 2 diabetes mellitus (T2DM). The aim of the study was to compare oral glucose tolerance test (OGTT) characteristics: time of peak glucose, glucose level≥155 mg/dL at 1 h, presence of metabolic syndrome (MetS), sensitivity, secretion, and oral disposition index (oDI) in children with and without obesity, according to oral glucose tolerance curve shape: monophasic or biphasic. Cross-sectional study including 143 children. Groups were divided into (a)obese: biphasic (B-Ob) (n=55) and monophasic (M-Ob) (n=50), (b)without obesity: biphasic (B-NonOb) (n=20) and monophasic (M-NonOb) (n=18). Late glucose peak was more frequent in the M-Ob group (p<0.001). Glucose levels≥155 mg/dL and MetS were more frequent in the M-Ob group but did not show significance. The groups with obesity (biphasic and monophasic) had higher indices of insulin resistance and insulin secretion compared to the nonobese groups (biphasic and monophasic) (p<0.001). AUC glucose was higher in the M-Ob group (p<0.05), and AUC insulin was higher in the M-NonOb group. oDI (Matsuda) was significantly lower in the M-Ob group compared to the other groups (p<0.001), and oDI-HOMA IR was higher in M-NonOb group (p=0.03). All OGTT parameters could help to identify Mexican children at increased risk of developing T2DM, not only fasting plasma glucose and 2 h glucose. M-Ob in non-T2DM Mexican children reflects an early defect in glucose metabolism. Higher level of IR indexes in M-NonOb vs. B-NonOb could indicate an increased risk for T2DM of genetic origin.

Fecal microbiota transplantation: whole grain highland barley improves glucose metabolism by changing gut microbiota

Highland barley (HB) is a high-altitude cereal with rich nutritional components and potential health benefits. To clarify its hypoglycemic effect and mechanism, we investigated the effect of whole grain HB and fecal microbiota transplantation (FMT) on glucose metabolism and gut microbiota in high-fat diet and streptozotocin (HFD/STZ)-induced diabetic mice. The results showed that HB (40 %) significantly decreased fasting blood glucose and the area under the glucose tolerance curve, significantly increased insulin secretion and improved insulin resistance in HFD/STZ-induced diabetic mice (P < 0.05). Inflammatory factors and blood lipid indices were also significantly alleviated after 12 weeks of 40 % HB intervention (P < 0.05). Additionally, beneficial bacteria, such as Bifidobacterium and Akkermansia, were significantly enriched in the gut of diabetic mice after whole grain HB intervention. Meanwhile, the results of further FMT experiments verified that the fecal microbiota after the 40 % HB intervention not only significantly increased the relative abundance of Bifidobacterium and Akkermansia but also effectively improved glucose metabolism and alleviated the inflammatory state in HFD/STZ-induced diabetic mice. Collectively, our study confirmed the bridge role of gut microbiota in improving glucose metabolism of whole grain HB, which could promote the development of precision nutrition.

Mechanism of Yupingfeng Powder on hepatic insulin resistance in type 2 diabetes mellitus rats by regulating IRS/PI3K/Akt pathway

Based on the insulin receptor substrate(IRS)/phosphoinositide 3-kinase(PI3K)/protein kinase B(Akt) pathway, the intervention effect of Yupingfeng Powder on type 2 diabetes mellitus(T2DM) rats was studied, and the potential mechanism of improving T2DM hepatic insulin resistance was explored. A T2DM rat model was established by feeding with high-fat and high-sugar feed combined with intraperitoneal injection of streptozotocin. Successfully modeled rats were selected and divided into a model group, a positive control group(MET), and a Yupingfeng Powder group. At the same time, a blank group was set up, and corresponding drugs were given by gavage. The model group and blank group were given an equal amount of physiological saline by gavage. During the experiment, body mass and fasting blood glucose were regularly measured, and glucose tolerance and insulin tolerance were measured at the end of the experiment. After the experiment, the levels of blood glucose, insulin, blood lipids, and related liver function indicators were measured; changes in liver pathological damage were observed, levels of liver monoamine oxidase were detected, and qRT-PCR was used to detect mRNA expression levels of IRS/PI3K/Akt pathway related genes. Compared with the model group, the Yupingfeng Powder group had an increase in body weight, a decrease in fasting blood glucose, fasting insulin, and steady-state model evaluation index, a decrease in the area under the curve of glucose tolerance and insulin tolerance tests, a decrease in serum total cholesterol, triglycerides, and low-density lipoprotein cholesterol content, and an increase in high-density lipoprotein cholesterol content. Compared with the model group, the Yupingfeng Powder group showed a decrease in liver monoamine oxidase levels, a decrease in serum aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, and total bilirubin levels, and an increase in total protein and albumin levels. Hematoxylin-eosin(HE) staining showed a reduction in pathological liver cell damage. Compared with the model group, the Yupingfeng Powder group showed a significant increase in the mRNA expression levels of IRS1, PI3K, and Akt in the liver of rats, as well as a significant decrease in the mRNA expression levels of interleukin-6(IL-6) and tumor necrosis factor-α(TNF-α). This indicates that Yupingfeng Powder can regulate the IRS/PI3K/Akt signaling pathway and glucose and lipid metabolism disorders, increase insulin sensitivity, improve hepatic insulin resistance, and thus play a therapeutic role in T2DM.

The community background alters the evolution of thermal performance.

Microbes are key drivers of global biogeochemical cycles, and their functional roles arey dependent on temperature. Large population sizes and rapid turnover rates mean that the predominant response of microbes to environmental warming is likely to be evolutionary, yet our understanding of evolutionary responses to temperature change in microbial systems is rudimentary. Natural microbial communities are diverse assemblages of interacting taxa. However, most studies investigating the evolutionary response of bacteria to temperature change are focused on monocultures. Here, we utilize high-throughput experimental evolution of bacteria in both monoculture and community contexts along a thermal gradient to determine how interspecific interactions influence the thermal adaptation of community members. We found that community-evolved isolates tended toward higher maximum growth rates across the temperature gradient compared to their monoculture-evolved counterparts. We also saw little evidence of systematic evolutionary change in the shapes of bacterial thermal tolerance curves along the thermal gradient. However, the effect of community background and selection temperature on the evolution of thermal tolerance curves was variable and highly taxon-specific,with some taxa exhibiting pronounced changes in thermal tolerance while others were less impacted. We also found that temperature acted as a strong environmental filter, resulting in the local extinction of taxa along the thermal gradient, implying that temperature-driven ecological change was a key factor shaping the community background upon which evolutionary selection can operate. These findings offer novel insight into how community background impacts thermal adaptation.

Voltage sag sensitive load type identification based on power quality monitoring data

This paper focuses on identifying voltage sag-sensitive loads within unknown load type or when the load is already in operation. To achieve this, a new method of sensitive load identification based on power quality monitoring data is proposed. Firstly, the active power RMS monitoring data is used as the base data. The Hodrick-Prescott filtering and sliding mean segmentation are used to divide the period of the voltage sag event. Next, based on the division result, the differences of steady-state power quality monitoring data before and after each event are calculated as the dataset. The dynamic K-means is used to divide various load action areas. Finally, the voltage tolerance curves of each action area are fitted and compared with the preset curves, then according to the constituted rules in this paper, the type of sensitive load contained by user is recognized. The feasibility and accuracy of the proposed method are verified by analyzing the simulation examples and actual power quality monitoring data.© 2017 Elsevier Inc. All rights reserved.

Research on Voltage Sag Loss Assessment Based on a Two-Stage Taguchi Quality Perspective Method

Voltage sags resulting from symmetrical or asymmetrical faults pose a significant threat to power quality. In response to this challenge, a voltage sag loss assessment method based on a two-stage Taguchi quality perspective approach is proposed to address the quantitative analysis of voltage sag economic losses. Initially, using the Taguchi quality perspective method, single-index quality loss functions are separately established for voltage sag magnitude and fault duration. Subsequently, by introducing a comprehensive load tolerance curve, sensitivity parameters within the quality loss function are accurately calculated. This yields a deterministic model for voltage sag assessment. Building upon this, the relative impact of the two indices on voltage sag loss is evaluated using the quality loss function. Consequently, a comprehensive loss model under the influence of multiple indices is formed by integrating two single-index evaluation models. The simulation results indicate that this method can effectively assess the economic losses of voltage sags under the combined influence of multiple factors. Compared to the original economic loss assessment method, it improves quantitative accuracy by approximately 3.72%. Moreover, the method reduces the computational complexity of loss assessment through the consolidation of intervals with similar sensitivity parameters.

Freshwater salinization and the evolved tolerance of amphibians.

The increasing salinization of freshwaters is a growing environmental issue as a result of mining, agriculture, climate change, and the application of de-icing salts in regions that experience ice and snow. Due to narrow osmotic limits, many freshwater species are particularly susceptible to salinization, but it is possible that repeated exposures over time could favor the evolution of increased salt tolerance. Using collected nine populations of larval wood frogs (Rana sylvatica) as eggs from ponds and wetlands with close proximity to roads and spanning a wide gradient of salt concentrations. In the first experiment, we used a time-to-death experiment to examine the salt tolerance. In a second experiment, we examined whether population differences in salt tolerance were associated with trade-offs in growth, development, or behavior in the presence of control water or a sublethal salt concentration. We found that populations collected from ponds with low and intermediate salt concentrations exhibited similar tolerance curves over a 96-h exposure. However, the population from a pond with the highest salt concentration exhibited a much higher tolerance. We also found population differences in growth, development, and activity level among the populations, but these were not associated with population differences in tolerance. In addition, the sublethal concentration of salt had no impact on growth and development, but it did cause a reduction in tadpole activity across the populations. Collectively, these results provide further evidence that some species of freshwater organisms can evolve tolerance to increasing salinization, although it may only occur under relatively high concentrations and without trade-offs in growth, development, or behavior.

Temperature and sex shape reproductive barriers in a climate change hotspot.

Climate change is altering species ranges and reproductive interactions in existing ranges, offering species new scope to mate and hybridize. The outcomes will depend on how environmental factors shape reproductive barriers across life stages, yet this is rarely assessed across the environments that species encounter in nature. We assess prezygotic and postzygotic barriers, and their dependence on temperature and parental sex, in species of a reef-building tubeworm (Galeolaria) from a fast-warming biodiversity hotspot in southern Australia. By replicating pure and reciprocal hybrid crosses across 5 temperatures spanning species' thermal ranges, we estimate thermal tolerance curves (defining niches) for crosses and reproductive isolation at each temperature. By also replicating crosses at 3 life stages, we partition the contributions of prezygotic barriers at fertilization, postzygotic barriers at embryogenesis, and postzygotic barriers at larval development to reproductive isolation. We show that barriers are weaker at fertilization and embryogenesis, but stronger and more temperature sensitive at larval development, as species diverge in thermal niche. Asymmetry of barriers between parental sexes, moreover, suggests a complex interplay between niche differentiation and maternal inheritance. Our findings point to a key role for temperature in reproductive isolation, but also challenges for predicting the fate of isolation in future climates.

Glycemic Response in Nonhuman Primates Fed Gluten-Free Rice Cakes Enriched with Soy, Pea, or Rice Protein and Its Correlation with Nutrient Composition.

Celiac disease (CD) is a chronic disease caused by the consumption of gluten foods and is closely related to type 1 diabetes (T1D). Adherence to a gluten-free (GF) diet is the cornerstone of treating CD, and certain plant proteins added to GF foods affect blood glucose to varying degrees. The aim of this study was to analyze and compare the changes in glycemic index (GI) and incremental area under the postprandial glucose tolerance curve (IAUC) of various foods through consumption of GF foods supplemented with certain plant proteins in non-human primates. The test foods were GF rice cakes with 5%, 10%, and 15% added single plant proteins (rice protein, soy protein, and pea protein) mixed with rice flour, as well as 5%, 10%, and 15% gluten rice cakes, and rice flour alone, for a total of 13 food items, and 12 healthy cynomolgus monkeys were examined for their glucose levels in the blood after fasting and after eating each test food (50 g) for 15, 30, 45, 60, 90, and 120 min after fasting and eating each test food. Fingertip blood glucose levels were measured, and the nutrient content of each food, including protein, fat, starch, ash, and amino acids, was examined. All foods tested had a low GI (<50) when analyzed using one-way ANOVA and nonparametric tests. Postprandial IAUC was significantly lower (p < 0.05) for GF rice cakes with 15% pea protein (499.81 ± 34.46) compared to GF rice cakes with 5% pea protein (542.19 ± 38.78), 15% soy protein (572.94 ± 72.74), and 15% rice protein (530.50 ± 14.65), and GF rice cakes with 15% wheat bran protein (533.19 ± 34.89). A multiple regression analysis showed that glycine was negatively associated with IAUC in GF rice cakes with 5%, 10%, and 15% pea protein added (p = 0.0031 < 0.01). Fat was negatively correlated with IAUC in GF rice cakes supplemented with 5%, 10%, and 15% soy protein (p = 0.0024 < 0.01). In this study, GF rice cakes made with added pea protein were superior to other gluten and GF rice cakes and had a small effect on postprandial glucose.

Glucose metabolism in gestational diabetes and their relationship with fat mass / muscle mass index

IntroductionDuring pregnancy, women experience metabolic changes that may induce insulin resistance, which can be traced to the blood glucose levels A number of factors may intervene in the metabolism of glucose in pregnant women; one of them is body composition. This factor is useful for studying metabolic diseases, for which the identification of the fat mass/muscle mass index (FMMMI) considered an especially relevant factor. Owing to their nature, techniques such as bioimpedance have been sparsely used for analysis during pregnancy. AimThis study aimed to identify the relationship between fat mass / muscle mass index and glucose metabolism in pregnant women. MethodsThis descriptive cross-sectional study included 231 women between the ages of 18 and 35 years and 24–28 weeks of gestation, who attended a state hospital for regular check-ups and exhibited risk factors for the development of gestational diabetes (GD) according to the Current Practice Guidelines in Primary Care. The participants underwent a physical examination, anthropometric measurements bio impedance were obtained, and oral glucose tolerance curves were constructed. FMMMI was calculated. ResultsThe prevalence of gestational diabetes was observed to be 13.4%. Women with a GD diagnosis had a significantly higher FMMMI than in those with no GD (0.746 ± 0.168 vs 0.567 ± 0.167;p < 0.005). The assessment of the FMMMI tertiles revealed that GD prevalence was higher in tertile 3 than in tertiles 1 and 2 (tertile 1: 2.6%; tertile 2: 9.1%; tertile 3: 24%). ConclusionFMMMI is associated with glucose tolerance test response in pregnant women and a higher prevalence of GD.

A study of the impact of voltage sag on sensitive loads at low-voltage distribution areas

Under the background of the dual carbon goal and the new power system, the power system becomes more complex and diverse, and voltage sag events caused by short-circuit faults, overloads, switching operations, large motor starting, and distributed generation access are more frequent. On the other hand, with the increasing sensitivity of low-voltage distribution network electrical equipment to power quality, especially for precision process control equipment using computers, power electronics, and automation technology, new energy generating units, and electric vehicle charging facilities, voltage sag accidents will cause difficult-to-estimate losses in equipment production and operation, and frequent voltage sag events have become one of the main power quality problems affecting reliable power supply and normal equipment operation. To address this problem, this paper analyzes the impact of voltage sag on low-voltage substation loads from a mechanism perspective, establishes a voltage sag tolerance curve for electronic appliances through experimental research, and simulates and verifies the effectiveness and correctness of the method in this paper using a 3 MW-rated induction generator connected to the distribution network as an example.

Zinc deficiency and a high-fat diet during growth: Metabolic and adipocyte alterations in rats

Background and aimsTo evaluate the effects of a high-fat diet during post-weaning growth on intermediate metabolism and retroperitoneal adipose tissue, in adult male rats exposed to adequate or deficient zinc intake during prenatal and postnatal life. Methods and resultsFemale Wistar rats were fed low- or control-zinc diets from pregnancy to offspring weaning. Male offspring born from control mothers were fed either control or high-fat, control-zinc diets for 60 days. Male offspring born from zinc deficient mothers were fed either low-zinc or high-fat, low-zinc diets for 60 days. At 74 days of life, oral glucose tolerance test was performed. In 81-day-old offspring, blood pressure, lipid profile, plasmatic lipid peroxidation and serum adiponectin level were determined. In retroperitoneal adipose tissue, we evaluated oxidative stress, morphology and adipocytokines mRNA expression. Low-zinc diet induced adipocytes hypertrophy, increased oxidative stress, and decreased adiponectin mRNA expression in adipose tissue. Low-zinc diet increased systolic blood pressure, triglyceridemia, plasmatic lipid peroxidation and glycemia at 3 h after glucose overload. Animals fed high-fat or high-fat, low-zinc diets showed adipocytes hypertrophy, decreased adiponectin mRNA expression, and increased leptin mRNA expression and oxidative stress in adipose tissue. They also exhibited decreased serum adiponectin levels, increased triglyceridemia, plasmatic lipid peroxidation and area under the oral glucose tolerance curve. High-fat, low-zinc diet induced greater alterations in adipocyte hypertrophy, leptin mRNA expression and glucose tolerance test than high-fat diet. ConclusionZinc deficiency since early stages of intrauterine life could increase susceptibility to metabolic alterations induced by high-fat diets during postnatal life.

Economic analysis of annual load loss due to voltage sags in industrial distribution networks with distributed PVs

In an industry, analysis of load disconnection indices is essential to determine the annual economic loss because of the high cost of load interruptions. With the interconnection of PVs in modern industrial networks, this analysis gets more complicated due to controls associated with PV inverters for reactive power support. Hence, the paper proposes a unique method for such analysis that relies on dynamic simulation to calculate load disconnections. The dynamic simulation allows the integration of the voltage tolerance curve of loads and controls associated with PVs making the scenarios more realistic. The indices are determined by employing statistical experiments which account for annual variability of daily solar and load profiles with the least possible runs of dynamic simulation. The proposed method is applied to calculate load disconnection indices for an IEEE 399-1997 industrial distribution system. A comparative analysis of the cost of disconnection under a variety of solar penetration and operation scenarios is presented. Network planners and reliability engineers can potentially utilize the proposed method to identify PV inverter controls, placement, and size effects on the annual load disconnection indices due to voltage sags.

The oral disposition index calculated from a meal tolerance test is a crucial indicator for evaluating differential normalization of postprandial glucose and triglyceride excursions in morbidly obese patients after laparoscopic sleeve gastrectomy.

To determine the normalization of postprandial blood glucose (PG) and triglyceride (TG) excursions in 30 morbidly obese patients with or without diabetes mellitus (DM) 1-year after they underwent a laparoscopic sleeve gastrectomy (LSG) vs. their pre-surgery data, we administered the 75-g oral glucose tolerance test (OGTT) and a meal tolerance test (MTT) using a 75-g glucose-equivalent carbohydrate- and fat-containing meal. The results were as follows; (i) Postoperative body-weight reduction was associated with DM remission and reduced multiple cardiometabolic risks. (ii) OGTT data showing postprandial hyper-insulinemic hypoglycemia in many post-surgery patients were associated with overdiagnosis of improved glucose tolerance. However, postoperative MTT data without hypoglycemia showed no improvement in the glucose tolerance vs. pre-surgery data. (iii) The disposition index (DI) i.e., [Matsuda index] × (Glucose-induced insulin secretion) was progressively worsened from normal glucose tolerance to DM patients after LSG. These post-surgery DI values measured by the MTT were correlated with 2h-plasma glucose levels and were not normalized in DM patients. (iv) The baseline, 2h-TG, and an increase in 2h-TG values above baseline were correlated with the insulin resistance index, DI, or HbA1c; These TG values were normalized post-LSG. In conclusion, the glucose tolerance curve measured by the MTT was not normalized in T2DM patients, which was associated with impaired normalization of the DI values in those patients 1-year after the LSG. However, the baseline TG and a fat-induced 2h-TG values were normalized postoperatively. The MTT can be used to assess normalization in postprandial glucose and TG excursions after LSG.

Concurrent Administration of the Methanol Leaf Extract of Leptadenia Hastata (Pers) Decne (Apocynaceae) With Metformin or Glibenclamide Influences Blood Glucose Handling in Normal Rats

Background: Leptadenia hastata (Pers) Decne (Apocynaceae) is a familiar medicinal plant utilized in northern Nigeria either singly or together with conventional drugs to treat diabetes mellitus. Objective: This study investigated the influence of concurrent administration of the methanol leaf extract of L. hastata with Metformin or Glibenclamide on blood glucose handling in normal male Wister rats. Methods: One hundred and twenty-eight normal rats were randomized into 16 groups of 8 rats each. The first group served as a vehicle administered control. Three groups were treated with three increasing doses of the extract using a semilogarithmic scale (50mg/kg, 150mg/kg and 500mg/kg respectively). Another three groups were treated with Glibenclamide at doses of 0.3mg/kg, 1mg/kg and 3mg/kg respectively. Another three groups were treated with metformin at doses of 30mg/kg, 100mg/kg, and 300mg/kg respectively. Another three groups were treated with metformin (100mg/kg) co-administered with the extract at 50mg/kg, metformin 100mg/kg and the extract at 150mg/kg, metformin 100mg/kg and the extract at 500mg/kg respectively. The last three groups received Glibenclamide at 1mg/kg co-administered with the methanol extract at 50mg/kg, Glibenclamide at 1mg/kg with the extract at 150mg/kg, and Glibenclamide 1mg/kg with the extract at 500mg/kg respectively. Oral glucose tolerance test (OGTT) was conducted following 8 hours of fasting. Results: The result revealed a significant reduction in the total area under the glucose tolerance curve when metformin was co-administered with the extract in normal rats. Conclusion: The findings suggest that the methanol leaf extract of L. hastata when co-administered with metformin caused an enhancement of the effect of metformin following OGTT in normal rats. Keywords: Blood glucose, extract, metformin, glibenclamide, glucose tolerance.

Percentage of change and increment of the glucose level after a normal oral tolerance curve between 24 and 28 weeks of pregnancy.

To determine the percentage of change and increment in glucose levels after a normal oral glucose tolerance test between 24 and 28 weeks of pregnancy. We studied 3510 pregnant women who attended their obstetric delivery at a tertiary care hospital in Guadalajara, Mexico in 2018, according to characteristics and risk 1647 (47%) patients were screened for diabetes diagnosis using the oral glucose tolerance test, 501 patients reported normal values between their 24th and 28th week of pregnancy, only 400 patients had their fasting glucose level measured on the same day of their obstetric delivery, to be compared. Average age was 30 years, with an average of 25.3 weeks of pregnancy. The fasting serum glucose levels taken after 28 weeks of pregnancy and before the obstetrical delivery showed an increase of 1.1 mmol/L in women who develop gestational diabetes mellitus, in contrast to women who did not develop gestational diabetes mellitus after 28 weeks their blood glucose only increased on average 0.4 mmol/L. The incidence of gestational diabetes mellitus in the study population during 2018 was 32.7%. Patients who developed gestational diabetes mellitus after a normal oral glucose tolerance test had greater body mass index before the pregnancy and newborns had a higher weight than babies born to mothers without gestational diabetes mellitus. Changes in glucose levels after the oral tolerance test of normal glucose require strict monitoring, in that it was demonstrated that 3% of patients developed gestational diabetes mellitus after week 28 of gestation.