Changes In Blood Glucose Research Articles

The clinical potential of 1,5-anhydroglucitol as biomarker in diabetes mellitus

A crucial measure of diabetes management is to monitor blood glucose, which often requires continuous blood collection, leading to economic burden and discomfort. Blood glucose and glycated hemoglobin A1c serve as traditional indicators of glucose monitoring. But now glycated albumin, fructosamine, and 1,5-anhydroglucitol (1,5-AG) have been gaining more attention. 1,5-AG is a chemically stable monosaccharide that exists in the human body. Its serum concentration remains stable when blood glucose levels are normal. However, it decreases when blood glucose exceeds the renal glucose threshold. Studies have shown that 1.5-AG reflects blood glucose changes in 1 to 2 weeks; therefore, decreased levels of serum 1,5-AG can serve as a clinical indicator of short-term blood glucose disturbances. Recent studies have shown that 1,5-AG can be used not only for the screening and managing of diabetes but also for predicting diabetes-related adverse events and islet β cell function in prediabetic patients. In addition, saliva 1,5-AG demonstrates potential value in the screening and diagnosis of diabetes. This review focuses on the biological characteristics, detection methods, and clinical application of 1,5-AG to promote understanding and applicable research of 1,5-AG in the future.

Interaction of CETP rs708272 Polymorphism on Trans Fatty Acid Intake and Glucose Metabolism Markers

Dietary fats influence gene expression and several metabolic pathways. Therefore, it is crucial to study the role of personal genotypes in the interaction between fat consumption and cardiometabolic markers. This research aimed to determine the interaction of the rs708272 polymorphism of CETP and the fatty acid intake with changes in the HOMA-IR in adults living with overweight or obesity. The current study was a secondary analysis of an 8-week controlled clinical trial. The final sample for this analysis comprised 78 Mexican adults with the Cholesteryl Ester Transfer Protein (CETP) rs708272 polymorphism who followed a dietary intervention. Using an interaction analysis, we evaluated the fatty acid intake and the genotypes of rs708272, with changes in blood glucose, insulin, and the HOMA-IR from baseline to endpoint. Our findings suggest a significant interaction between the trans fatty acid intake and the GG genotype with changes in glucose (p = 0.024), insulin (p = 0.004), and the HOMA-IR (p = 0.002). The higher the consumption of trans fatty acids, the less these markers of glucose metabolism were reduced. carriers of the GG genotype may benefit from limiting dietary trans fatty acid intake, as there was no reduction in plasma glucose and insulin despite a hypocaloric dietary intervention in adults with overweight and obesity.

The relationship between daily blood glucose fluctuation and readmission in patients with acute coronary syndrome

Abstract Background Although the comprehensive diagnos and treatment of patients with acute coronary syndrome(ACS) has been greatly improved,the morbidity and mortality are still high. Previous literature has reported that about 70-75% of patients diagnosed with acute coronary syndrome have abnormal blood glucose metabolism1,and there existed gender differences. At present, most research results showed that elevated blood glucose is related to the prognosis of ACS. However, further intervention studies indicated that simply strengthen the reducement of blood glucose did not improve prognosis of these patients2. Glucose fluctuations, another dimension of blood glucose, reflect acute changes in blood glucose. However, there are few studies on the effect of blood glucose fluctuation on the prognosis of patients with ACS. Purpose This study aimed to explore the relationship between seven daily fluctuations of blood glucose and readmission in ACS patients. Methods In this study, a total of 664 patients admitted to our University from January 1, 2019 to December 31, 2019 were included and their blood glucose was monitored seven times a day during their hospitalization. The coefficient of variation of blood glucose (CV) was calculated from the results of seven daily blood glucose monitoring to represent the daily fluctuation of blood glucose. Univariate and multivariate regression analyses were performed to determine whether CV was an independent risk factor for re-hospitalization. In addition, the area under the curve (AUC) was used to evaluate the predictive efficacy of CV for outcome events. Finally, we performed a subgroup analysis based on gender and diabetes status to assess the association between CV and readmission in each subgroup. Results After a median follow-up of 21 months, the rate of readmission was 38.4%. Unstable angina pectoris (71.4%) and heart failure (16.4%) were the most common reasons for readmission. Patients with greater CV levels typically exhibited lower fasting blood glucose, higher post breakfast blood glucose, and higher admission blood glucose.The readmission rate increased with the increasing blood glucose variability after the cox regression analysis. Moreover, independent of glycated hemoglobin,CV could predict the risk of readmission in patients with ACS.When using 26.66% as the cutoff point of CV, the study population was divided into two groups and showed a significant differentiation for rehospitalization.In subgroup analysis, there was no significant association between seven daily blood glucose fluctuations and readmission in female and non-diabetes mellitus patients with acute coronary syndrome. Conclusions Besides some normal blood glucose index,seven daily fluctuations of blood glucose was associated with readmission in ACS patients. ACS patients who were male and combined with diabetes were more likely to be readmitted if their CV levels were greater.

Predicting Neonatal Hypoglycemia Using AI Neural Networks in Infants from Mothers with Gestational Diabetes Mellitus.

BACKGROUND This study aimed to develop a predictive model for the association between maternal and neonatal anthropometric data and neonatal hypoglycemia based on data from mothers with gestational diabetes mellitus (GDM) and their neonates. MATERIAL AND METHODS We included 106 pregnant women with GDM (based on the World Health Organization International Association of Diabetes and Pregnancy Study Groups) and their neonates. Neonatal hypoglycemia was defined as a threshold of 2.5 mmol/L. Neonatal blood glucose levels were performed at 0, 0.5, 1, 3, and 24 h after birth. An artificial neural network (ANN) and recurrent neural network (RNN) were developed to predict the neonate blood concentrations and investigate the relative contribution of maternal and neonate clinical variables to neonatal hypoglycemia. RESULTS Of 106 mothers with GDM, 85% had obesity, and 78% had vaginal deliveries, with neonates averaging a birth weight of 3335.83 g. The ANN model, based on the clinical data from mothers and neonates, predicted blood glucose levels with a high degree of accuracy, achieving a coefficient of determination of 0.869 and a root mean square error (RMSE) of 0.274. Neonatal birth weight and maternal body mass index were the 2 most significant factors in predicting neonatal hypoglycemia, contributing 18.6% and 15.9%, respectively. The RNN model similarly forecasted glucose levels effectively, addressing the dynamic changes in blood glucose with 0.63 mmol/L RMSE and 0.53 mmol/L mean absolute error. CONCLUSIONS ANN and RNN models effectively predict neonatal hypoglycemia in infants of mothers with GDM, highlighting the critical role of maternal and neonatal factors.

6656 Frequently sampled HbA1c Shows Low-Sodium, High-Carbohydrate Rice Diet To Be Effective in Type 2 Diabetes

Abstract Disclosure: F.A. Neelon: None. S. Sanoff: None. P. Lin: None. Hemoglobin and glucose react to form HbA1c, which persists until red blood cells (RBCs) are removed from circulation. Since RBCs survive approximately 122 days, HbA1c is usually measured at intervals of months to years, but more frequent measurement can illuminate changes in blood glucose (BG). We used Beach’s equation for the kinetics of HbA1c formation, to construct graphical depictions of how HbA1c should decline over the 122 days after a drop from constantly high to constantly normal BG levels. As part of routine patient care (not an experimental protocol), we measured HbA1c at 2-4-week intervals in a convenience sample of 10 patients (one of whom was evaluated on 2 occasions) with Type 2 diabetes, obesity, and elevated HbA1c who attended the now defunct Rice Diet Program (RDP) in Durham, NC. All were fed 3 meals/day, comprising 800-1000 kcal of rice, fruits, grains, and vegetables (70-90% carbohydrates) and 300 mg of sodium. Two patients were initially taking insulin; 1, glipizide; and 1, sitagliptin, exenatide, metformin; all hypoglycemic agents were eventually discontinued, and none added. Mean initial HbA1c of 9.7% (range, 8.3-11.7) fell to a mean of 6.2% (range 5.3-8.4) after a mean of 82 days (range, 41-139). Variability in final HbA1c values reflects, at least in part, variable duration of voluntary residence at the RDP. In 9 patients, HbA1c declined in close accordance with the course predicted for complete normalization of blood glucose from the very start of the diet; in 1 patient, HbA1c declined slowly for 25 days, after which the rate increased to near that for complete normalization of BG. Plots of Hb1c values extrapolate back through the point of origin, implying normalization of BG occurs within days of starting the RDP, and is maintained thereafter. Data from frequent measurement of HbA1c show: 1) Normalization of BG occurs almost immediately upon dietary restriction, implying that hyperglycemia in Type 2 diabetes is driven by daily calorie excess, not by accumulated calorie excess (ie, obesity). 2) Contrary to some misperceptions, a high-carbohydrate, sodium- and calorie-restricted diet is not deleterious to ― and may actually benefit ― glucose control in Type 2 diabetes. Presentation: 6/3/2024

Noninvasive Blood Glucose Monitoring Using Spatiotemporal ECG and PPG Feature Fusion and Weight-Based Choquet Integral Multimodel Approach.

change of blood glucose (BG) level stimulates the autonomic nervous system leading to variation in both human's electrocardiogram (ECG) and photoplethysmogram (PPG). In this article, we aimed to construct a novel multimodal framework based on ECG and PPG signal fusion to establish a universal BG monitoring model. This is proposed as a spatiotemporal decision fusion strategy that uses weight-based Choquet integral for BG monitoring. Specifically, the multimodal framework performs three-level fusion. First, ECG and PPG signals are collected and coupled into different pools. Second, the temporal statistical features and spatial morphological features in the ECG and PPG signals are extracted through numerical analysis and residual networks, respectively. Furthermore, the suitable temporal statistical features are determined with three feature selection techniques, and the spatial morphological features are compressed by deep neural networks (DNNs). Lastly, weight-based Choquet integral multimodel fusion is integrated for coupling different BG monitoring algorithms based on the temporal statistical features and spatial morphological features. To verify the feasibility of the model, a total of 103 days of ECG and PPG signals encompassing 21 participants were collected in this article. The BG levels of participants ranged between 2.2 and 21.8 mmol/L. The results obtained show that the proposed model has excellent BG monitoring performance with a root-mean-square error (RMSE) of 1.49 mmol/L, mean absolute relative difference (MARD) of 13.42%, and Zone A + B of 99.49% in tenfold cross-validation. Therefore, we conclude that the proposed fusion approach for BG monitoring has potentials in practical applications of diabetes management.

Effect of Single Low-Dose Dexamethasone on Peri-operative Blood Glucose Levels

Background: Post-operative nausea and vomiting (PONV) is the second most common complaint reported after surgery with an incidence of 30%-80%. PONV is associated with numerous morbidities, hence prevention is beneficial. Dexamethasone is used as a prophylactic anti-emetic agent, however, being a corticosteroid, it could cause hyperglycaemia which is associated with a number of other adverse effects. Objectives: To study the effect of a single low-dose intravenous dexamethasone given as a prophylactic anti-emetic agent on perioperative blood glucose levels. Methods: Eighty-eight women who had elective myomectomy or hysterectomy under combined spinal-epidural (CSE) anaesthesia were randomised into two groups of 44 each. Following baseline blood glucose estimation, one group had 4 mg (1 ml) of intravenous dexamethasone 1-2 seconds after blood glucose check while the control group had 1 ml of normal saline. Blood glucose was measured every hour intra-operatively and two-hourly post-operatively till 12 hours after drug administration. Nausea, vomiting, dyspepsia, pain, motor block duration and urinary output were assessed hourly. Results: The mean maximum change in blood glucose from baseline in the dexamethasone group was statistically significantly higher than in the control group, 51.00±26.57 mg/dl vs. 35.80±25.71 mg/dl (p = 0.007) so also was the mean maximum blood glucose, 153.93±31.63 mg/dl vs. 139.52±28.95 mg/dl (p = 0.028) respectively. Conclusion: Intravenous dexamethasone at a single, low-dose (4 mg) used as a prophylaxis for nausea and vomiting is associated with significant increase in blood glucose concentration.

The Oldest of Old Male C57B/6J Mice Are Protected from Sarcopenic Obesity: The Possible Role of Skeletal Muscle Protein Kinase B Expression

The impact of aging on body composition and glucose metabolism is not well established in C57BL/6J mice, despite being a common pre-clinical model for aging and metabolic research. The purpose of this study was to examine the effect of advancing age on body composition, in vivo glucose metabolism, and skeletal muscle AKT expression in young (Y: 4 months old, n = 7), old (O: 17–18 months old, n = 10), and very old (VO: 26–27 month old, n = 9) male C57BL/6J mice. Body composition analysis, assessed by nuclear magnetic resonance, demonstrated O mice had a significantly greater fat mass and body fat percentage when compared to Y and VO mice. Furthermore, VO mice had a significantly greater lean body mass than both O and Y mice. We also found that the VO mice had greater AKT protein levels in skeletal muscle compared to O mice, an observation that explains a portion of the increased lean body mass in VO mice. During glucose tolerance (GT) testing, blood glucose values were significantly lower in the VO mice when compared to the Y and O mice. No age-related differences were observed in insulin tolerance (IT). We also assessed the glucose response to AMPK activation by 5-aminoimidazole-4-carboxamide-1-β-D-ribofuranoside (AICAR). The change in blood glucose following AICAR administration was significantly reduced in VO mice compared to Y and AG mice. Our findings indicate that lean body mass and AKT2 protein expression in muscle are significantly increased in VO mice compared to O mice. The increase in AKT2 likely plays a role in the greater lean body mass observed in the oldest of old mice. Finally, despite the increased GT, VO mice appear to be resistant to AMPK-mediated glucose uptake.

Effects of chronic intermittent hypoxia and reoxygenation on insulin resistance and skeletal muscle miR-27a-3p/PPARγ/IRS1/PI3K/AKT expressions in rats

To investigate the effects of chronic intermittent hypoxia (CIH) and reoxygenation on insulin resistance (IR) and expressions of miR-27a-3p/PPARγ/IRS1/PI3K/AKT in rat skeletal muscle. GEO database was used for screening the differentially expressed miRNAs in CIH, and their target genes were subjected to GO and KEGG enrichment analysis followed by construction of the miRNA-mRNA-pathway regulatory network using Cytoscape. In the animal experiment, 48 male SD rats were randomly divided into normoxia group and CIH group (8 weeks of CIH followed by 4 weeks of normoxic recovery). Blood and skeletal muscle samples were collected at baseline, 8 weeks, and 12 weeks to evaluate the changes in fasting blood glucose (FBG) and fasting insulin (FINS) levels and muscular pathology. RT-qPCR and Western blotting were used to detect the changes in the expressions of miR-27a-3p, PPARγ, GLUT4, IRS1, p-IRS1, PI3K, p-AKT and AKT in the muscular tissues. No muscular miRNA datasets for CIH were available in GEO database, from which only a kidney-related dataset (GSE202480) was obtained, based on which a total of 165 differentially expressed miRNAs were identified. GO/KEGG analysis suggested that these miRNAs were involved in muscular regulation and insulin signaling. The miRNA-mRNA-pathway network highlighted miR-27a-3p as a crucial regulator in the PPAR and PI3K/AKT pathway. In the animal experiment, the rats subjected to CIH for 8 weeks showed significantly increased FBG, FINS, HOMA-IR, and PPARγ levels, loose muscle fiber arrangement, decreased cross-sectional area of the muscle fibers, and lowered expressions of miR-27a-3p, p-IRS1/IRS1, PI3K, and p-AKT/AKT in the skeletal muscles. CIH increases IR, causes skeletal muscle pathology, downregulates miR-27a-3p expression, upregulates PPARγ expression, and inhibits IRS1/PI3K/AKT insulin signaling in the skeletal muscles of rats, and these changes can be reversed by reoxygenation. MiR-27a-3p may participate in CIH-induced IR by modulating the PPAR γ/IRS1/PI3K/AKT signaling pathway.

AIM2 Deficiency Alleviates Cardiac Inflammation and Hypertrophy in HFD/STZ-Induced Diabetic Mice by Inhibiting the NLRC4/IRF1 Signaling Pathway.

Absent in melanoma 2(AIM2) exacerbates atherosclerosis by inflammasome assembly. However, AIM2-mediated inflammation in diabetic cardiomyopathy remains incompletely understood. Here we investigate the role of AIM2 in high glucose (HG)- and diabetes-induced inflammatory cardiomyopathy. By RNA-seq, we found that AIM2 were significantly upregulated in HG-induced macrophages, upregulation of AIM2 in cardiac infiltrating macrophages was confirmed in a high-fat diet (HFD)/streptozotocin (STZ)-induceddiabetic mouse model . Therefore, AIM2 knockout mice were constructed. Compared to WT mice, HFD/STZ-induced cardiac hypertrophy and dysfunction were significantly improved in AIM2-/- mice, despite no changes in blood glucose and body weight. Further, AIM2 deficiency inhibited cardiac recruitment of M1-macrophages and cytokine production. Mechanistically, AIM2-deficient macrophgaes reduced IL-1β and TNF-α secretion, which impaired the NLRC4/IRF1 signaling in cardiomyocytes, and reduced further recruitment of macrophages, attenuated cardiac inflammation and hypertrophy, these effects were confirmed by silencing IRF1 in WT mice, and significantly reversed by overexpression of IRF1 in AIM2-/- mice. Taken together, our findings suggest that AIM2 serves as a novel target for the treatment of diabetic cardiomyopathy.

Iron Overload Induces Hepatic Ferroptosis and Insulin Resistance by Inhibiting the Jak2/stat3/slc7a11 Signaling Pathway.

Recent studies showed that patients with iron overload had increased risk of insulin resistance or diabetes. Ferroptosis is a new type of cell death mainly caused by iron-dependent oxidative damage. In the present study, we investigated potential mechanisms of iron overload induced hepatic ferroptosis and insulin resistance through in vivo and in vitro experiments. In vivo, the mice models of iron overload were established by intraperitoneal injection of iron dextran. The changes of body weight, serum ferritin and blood glucose were measured. Hematoxylin-eosin (HE) and Perl's stainings were used to observe the pathological changes and iron deposition in the liver of mice. In vitro, HepG2 cells were treated with ferric ammonium citrate (FAC, 9 mmol/L, 24 h) to establish the cell models of iron overload. The labile iron pool, cell viability, glucose consumption and glycogen contents were measured. The ultrastructure of mitochondria was observed by transmission electron microscope (TEM). The malondialdehyde (MDA) and glutathione (GSH) kits were used to detect lipid peroxidation in liver tissues of mice and HepG2 cells. RT-PCR and Western blot were used to detect the mRNA and protein expression levels of ferroptosis factors and JAK2/STAT3 signaling pathway. In this study, we used the iron chelator deferasirox in mice and HepG2 cells. Iron overload caused weight loss, elevated serum ferritin, fasting blood glucose, fasting insulin, HOMA-IR, impaired glucose tolerance, and decreased insulin sensitivity in mice. HE staining and Perls staining showed clumps of iron deposition in the liver of iron overload mice. Iron overload could reduce the glucose consumption, increase MDA contents of HepG2 cells, while reduce glycogen and GSH contents in liver tissues of mice and HepG2 cells. TEM showed deletion of mitochondrial ridge and rupture of outer membrane in HepG2 cells with iron overload. Iron chelator deferasirox could significantly improve the above indicators, which might be related to the activation of JAK2/STAT3/SLC7A11 signaling pathway and hepatic ferroptosis. Iron overload could induce hepatic ferroptosis and insulin resistance by inhibiting the JAK2/STAT3/SLC7A11 signaling pathway, and the iron chelator deferasirox might improve hepatic insulin resistance induced by iron overload.

Exploring Symptom Management Experiences Among College Students With Type 1 Diabetes Mellitus Using a Theoretical Framework: A Qualitative Study.

The purpose of this study was to explore symptom management experiences among college students with type 1 diabetes mellitus (T1DM). Limited qualitative data using a theoretical framework exist that explore the self-care behavior processes for symptom management. A qualitative approach was used for this study. The middle-range theory of self care of chronic illness served as a framework for data collection and analysis procedures. Data collection included distributing a survey to collect participants' demographic and sociodemographic data and utilizing a semi-structured interview guide to conduct one-on-one interviews with 31 participants. Interviews occurred via Zoom (n = 28) and in person (n = 3). Interview transcripts were uploaded in NVivo for data management. The research team created a codebook using theoretical constructs to assist with thematic analysis. Data are representative of a sample whose characteristics include undergraduate students ages 18 to 23 living with T1DM for 2 years or more who attended large, public, 4-year universities located in the southeastern United States. Three main themes were created using theoretical constructs: symptom detection experiences, symptom interpretation experiences, and symptom response experiences. Two subthemes were identified for each theme. Participants engaged in symptom management for blood glucose regulation through detecting changes in their blood glucose physiologically and via technology. Additionally, symptom interpretation involved analyzing blood glucose trends and determining common causes of blood glucose changes. Symptom response included immediately addressing hypoglycemia but delayed responses addressing hyperglycemia. Challenges were present responding to hypoglycemia; therefore, additional research is warranted to improve symptom response skills.

GPRC6A is a Potential Therapeutic Target for Metformin Regulation of Glucose Homeostasis in Mice.

Understanding the mechanism of metformin actions in treating type 2 diabetes is limited by an incomplete knowledge of the specific protein targets mediating its metabolic effects. Metformin has structural similarities to L-Arginine (2-amino-5-guanidinopentanoic acid), which is a ligand for GPRC6A, a Family C G-protein coupled receptor that regulates energy metabolism. Ligand activation of GPRC6A results in lowering of blood glucose and other metabolic changes resembling the therapeutic effect of metformin. In the current study, we tested if metformin activates GPRC6A. We used Alphafold2 to develop a structural model for L-Arginine (L-Arg) binding to the extracellu-lar bilobed venus flytrap domain (VFT) of GPRC6A. We found that metformin docked to the site in the VFT that overlaps the binding site for L-Arg. Metformin resulted in a dose-dependent stimulation of GPRC6A activity in HEK-293 cells transfected with full-length wild-type GPRC6A but not in untransfected control cells. In addition, metformin failed to activate an alternatively spliced GPRC6A isoform lacking the putative binding site in the VFT. More specifically, mutation of the predicted metformin key binding residues Glu170 and Asp303 in the GPRC6A VFT resulted in loss of metformin receptor activation in vitro. The in vivo role of GPRC6A in mediating the effects of metformin was tested in Gprc6a-/- mice. Administration of therapeutic doses of metformin lowered blood glucose levels following a glucose tolerance test in wild-type but not Gprc6a-/- mice. Finally, we EN300, created by adding a carboxymethyl group from L-Arg to the biguanide backbone of metformin. EN300 showed dose-dependent stimulation of GPRC6A activity in vitro with greater potency than L-Arginine, but less than metformin. Thus, we suggest that GPRC6A is a potential molecular target for metformin which may be used to understand the therapeutic actions of metformin and develop novel small molecules to treat T2D.

The Impact of Thyroid Hormones on Cardiometabolic Risk in Children and Adolescents with Obesity, Overweight and Normal Body Mass Index (BMI): A One-Year Intervention Study.

Thyroid hormones regulate metabolism and have a major impact in maintaining cardiovascular homeostasis. The purpose of our study was to examine the relation of thyrotropin (TSH) and thyroid hormones with cardiometabolic parameters in children and adolescents with obesity, overweight, and normal body mass index (BMI) before and after the implementation of a comprehensive, multidisciplinary, personalized, lifestyle intervention program for 1 year. One thousand three hundred and eleven (n = 1311) children and adolescents aged 2 to 18 years (mean age ± SD: 10.10 ± 2.92 years) were studied prospectively. Patients were categorized as having obesity (n = 727, 55.45%), overweight (n = 384, 29.29%) or normal BMI (n = 200, 15.26%) according to the International Obesity Task Force (IOTF) cutoff points. All patients received personalized guidance on diet, sleep, and physical activity at regular intervals throughout the 1-year period. Detailed clinical evaluation and hematologic, biochemical and endocrinologic investigations were performed at the beginning and the end of the study. Subjects with obesity had a more adverse cardiometabolic risk profile than subjects with overweight and normal BMI on both assessments. At initial evaluation, total T3 concentrations were positively associated with uric acid and HbA1C, and free T4 concentrations were negatively associated with insulin concentrations, while there was no association between TSH concentrations and cardiometabolic risk parameters. Following the 1 year of the multidisciplinary, lifestyle intervention program, the concentrations of lipids, HbA1C, ALT, and γGT improved significantly in all subjects. Changes in TSH concentrations were positively associated with changes in systolic blood pressure (SBP), glucose, triglycerides, and cholesterol concentrations. Changes in free T4 concentrations were negatively associated with changes in cholesterol and insulin concentrations. Furthermore, changes in T3 concentrations were positively associated with changes in HbA1C, glucose, uric acid, and triglyceride concentrations. These findings indicate that in children and adolescents with overweight and obesity, thyroid hormones are associated with indices conferring cardiometabolic risk.

Categories of anxiety based on latent class analysis in gestational diabetes mellitus and associated factors: A questionnaire-based, cross-sectional study.

To investigate the classification of anxiety based on potential category analysis in gestational diabetes mellitus (GDM) patients and the associated factors. This questionnaire-based, cross-sectional study was conducted on GDM patients admitted to a Grade III-A general hospital using convenience sampling between March and November 2021. Latent class analysis was utilized for classification. Multivariate logistic regression analysis was performed to identify factors associated with anxiety. A total of 215 valid questionnaires were collected, yielding a response rate of 99%. GDM patients were classified into 4 potential categories: low anxiety (54%), high anxiety (21%), worried about the fetus (11%), and worried about delivery (14%). Multivariate logistic regression analysis showed that, compared with low anxiety, education level, family history of diabetes, blood glucose changes, delivery mode schedule, knowledge score of GDM, and marital relationship scale score were independently associated with anxiety (P < .05). The number of births, education level, blood glucose changes, delivery mode schedule, and marital relationship scale score were independently associated with being worried about the fetus (P < .05). Education level, family history of diabetes, blood glucose changes, delivery mode schedule, knowledge score of GDM, and marital relationship scale score were independently associated with being worried about delivery (P < .05). Anxiety in GDM patients was categorized by latent class analysis into low anxiety (54%), high anxiety (21%), worried about the fetus (11%), and worried about delivery (14%). Education level, family history of diabetes, blood glucose changes, delivery mode schedule, GDM knowledge score, and marital relationship scale score might be associated with anxiety.

Frequency tunable non-invasive microwave blood glucose sensor based on negative impedance circuit

Abstract This article proposes a frequency adjustable non-invasive blood glucose microwave sensor based on negative impedance circuit. Firstly, this article establishes a skin-blood-skin human tissue model for the detection of non-invasive microwave sensors. Compared to traditional passive microwave blood glucose sensors, this design uses a negative impedance compensation circuit (NIC), greatly increasing microwave penetration and improving its detection sensitivity. In addition, this design achieves the goal of adjustable operating frequency by adding an additional dielectric layer at the detection end. This function is of great significance for microwave non-invasive blood glucose sensors. On the one hand, it can adjust to the optimal operating frequency band according to the characteristics of blood glucose changes; On the other hand, it is possible to measure changes in blood glucose concentration at multiple frequency points, thereby increasing the accuracy of detection. The relevant results show that adjusting the frequency band can reach 1–4 GHz, and the specific method of frequency adjustment is provided in the article; Meanwhile, four initial frequency points were selected in the article, at which the results show that the sensitivity reaches 1.356 × 10−3, 3.142 × 10−3, 2.071 × 10−3, 1.903 × 10−3. The above results demonstrate the superiority of our design, and blood glucose sensors based on this principle are expected to break through the limitations of current blood glucose sensors.

Assessment of glycemic index of the unripe green papaya in mice

Papaya (Carica papaya L.) is a rich-nutrition fruit include vitamins (A, B and C), carbohydrates, proteins, alkaloids, proteolytic enzymes, and benzyl isothiocyanate. Papaya contains papain, which helps strengthen the constitution of diabetes patients. Its water-soluble fiber can stabilize blood sugar levels, reducing the risk of complications. Papaya has benefits such as lowering blood lipids and softening blood vessels due to the fruit acids it contains, which is advantageous for patients with diabetes complicated by hypertension, arteriosclerosis, and dyslipidemia. Additionally, the proteolytic enzymes in papaya are beneficial for the digestive system. Unripe green bananas have been found to contain a significant amount of resistant starch, giving them potential as a low glycemic index (GI) food. Therefore, the aim of this study was to determine the effects of unripe green papaya on blood glucose regulation. The blood glucose values were measured in C57BL/6 mice before and within 120 minutes after consuming 50 mg of glucose and the grated unripe green papaya containing 50 mg of starch was conducted to calculate the incremental area under the curve (IAUC) for blood glucose changes post-consumption of glucose and the grated unripe green papaya. The results showed that the average IAUC for the grated unripe green papaya was 11,176.67, while the average IAUC for glucose was 7,666.25. According to the GI calculation formula, GI of the grated unripe green papaya was determined to be 146. Therefore, based on the results of this study, these results will be used as the basis for the development of related blood glucose regulation products of the unripe green papaya (Carica papaya L.) in the future.

Blood glucose outcomes of anti-retroviral therapy naïve Ugandan people with HIV with pre-diabetes mellitus initiated on dolutegravir for 48 weeks

BackgroundThe Uganda ministry of Health recommends frequent blood glucose monitoring for the first six months on dolutegravir, in people with HIV (PWH) having pre-diabetes mellitus (pre-DM). We sought to determine if indeed PWH with pre-diabetes started on dolutegravir had worse blood glucose outcomes at 48 weeks compared to those with normal blood glucose.MethodsIn this matched cohort study, we compared 44 PWH with pre-DM and 88 PWH with normal blood glucose at baseline. The primary outcome was change in mean fasting blood glucose (FBG) from baseline to week 48 and 2-hour blood glucose (2hBG) from baseline to week 36 compared between the two groups.ResultsThere was significant increase in FBG in PWH with normal blood glucose (mean change in FBG(FBG): 3.9 mg/dl, 95% confidence interval (95% CI): (2.2, 5.7), p value (p) = < 0.0001) and decrease in those with pre-DM (FBG: -6.1 mg/dl, 95%CI (-9.1, -3.2), p = < 0.0001) at 48 weeks. 2hBG was significantly lower than at baseline in both groups with the magnitude of reduction larger in those with pre-DM at 12 weeks (adjusted differences in mean drop in 2hBG (a2hBG): -19.69 mg/dl, 95%CI (-30.19, -9.19), p = < 0.0001) and 36 weeks (a2hBG: -19.97 mg/dl, 95%CI (-30.56, -9.39), p = < 0.0001).ConclusionWe demonstrated that Ugandan ART naïve PWH with pre-diabetes at enrollment have consistent improvement in both fasting blood glucose and glucose tolerance over 48 weeks on dolutegravir. Intensified blood glucose monitoring of these patients in the first six months of dolutegravir may be unnecessary.

Anti-Type II Diabetic Effects of Coix Seed Prolamin Hydrolysates: Physiological and Transcriptomic Analyses.

Previous studies have demonstrated that enzymatically prepared coix seed prolamin hydrolysates (CHPs) contain several bioactive peptides that efficiently inhibit the activity of target enzymes (α-glucosidase and dipeptidyl kinase-IV) in type 2 diabetes mellitus (T2DM). However, the anti-T2DM effects and potential mechanisms of CHPs as a whole in vivo have not yet been systematically explored. Therefore, we evaluated the preventive, therapeutic, and modifying effects of CHPs on T2DM by combining physiological and liver transcriptomics with a T2DM mouse model. The results showed that sustained high-fructose intake led to prediabetic symptoms in mice, with abnormal fluctuations in blood glucose and blood lipid levels. Intervention with CPHs effectively prevented weight loss; regulated abnormal changes in blood glucose; improved impaired glucose tolerance; inhibited the abnormal expression of total cholesterol, triglycerides, and low-density lipoproteins; alleviated insulin resistance; and restored pancreatic islet tissue function in mice fed a high-fructose diet. In addition, we found that CHPs also play a palliative role in the loss of liver function and protect various organ tissues (including the liver, kidneys, pancreas, and heart), and are effective in preventing damage to the liver and pancreatic islet cells. We also found that the intake of CHPs reversed the abnormally altered hepatic gene profile in model mice and identified 381 differentially expressed genes that could serve as key genes for preventing the development of T2DM, which are highly correlated with multiple glycolipid metabolic pathways. We demonstrated that CHPs play a positive role in the normal functioning of the insulin signalling pathway dominated by the IRS-1/PI3K/AKT (insulin receptor substrates-1/phosphoinositide 3-kinase/protein kinase B) pathway. In summary, CHPs can be used as effective food-borne glucose-modifying components of healthy foods.

Charting Wellness in India: Piloting the iTHRIVE's Functional Nutrition Approach to Improve Glycaemic and Inflammatory Parameters in Prediabetes and Type 2 Diabetes Mellitus.

Introduction Type 2 diabetes mellitus (T2DM) is characterized by elevation of blood glucose levels due to underlying insulin resistance and inflammation. Multiple modifiable risk factors such as unhealthy dietary habits, physical inactivity, obesity, smoking and psychological stress contribute toT2DM. Weinvestigated the efficacy of a comprehensive functional nutrition approach aimed at mitigating T2DMusing the iTHRIVE approach which encompassed anti-inflammatory and elimination diets, micronutrient supplements, physical activity, stress managementand environmental modifications through a pre-post study design. The research assessed changes in blood glucose and inflammatory markers following the implementation of thefunctional nutrition program. Methods A prospective pre-post intervention pilot study was conducted at ThriveTribe Wellness Solutions Pvt Ltd. (iTHRIVE), where 50 study participants from urban areas of Pune city, India(n=25 each group) were recruited voluntarily in the age group of 20-60 years. The participants were subjected to 90 days of the iTHRIVE functional nutrition approach which consisted of eliminating certain inflammatory foods and adding a combination of nutritious organic foods, adding dietary supplements like magnesium, vitamin D, alpha lipoic acid, chromium picolinate, berberine and biogymnema, physical activities like resistance training, stress reduction techniques like meditation and deep breathing exercises along with environmental changes. The blood parameters like fasting blood glucose, postprandial blood glucose, glycated haemoglobin (HbA1C), fasting serum insulin, post-prandial serum insulin, high sensitivity C-reactive protein (hs-CRP), erythrocyte sedimentation rate (ESR), vitamin D, body weight and waist circumference were measured before and after the intervention. The changes were statistically analyzed using a paired t-test. Results The mean age of the participants was found to be 43.76±10.58 years. Around 68%of the participants were prediabetic (HbA1c: 5.7-6.4%) and 32% had T2DM (HbA1c ≥6.5%). A significant reduction was observed in the average HbA1c (13.75% reduction, p<0.0001), average post-prandial blood glucose levels (14.51% reduction, p<0.048), average post-prandial serum insulin (34.31% reduction, p<0.017) and average ESR levels (34.51% reduction, p<0.006). The hs-CRP levels were reduced by 6.6%, but not statistically significant. The average body weight of the participants dropped from 78.59±15.18 kg to 75.20±14.20 kg with a mean loss of 2.91 kg (p<0.05) whereas the waist circumference decreased from 37.54±5.09 to 35.97±4.74 inches with an average loss of 1.19 inches (p<0.0004). Conclusions Following the intervention, several health indicators indicated significant improvements. Particularly, there was a significant drop in HbA1c levels, suggesting better long-term blood glucose control. Blood glucose and serum insulin levels after a meal dropped significantly, indicating enhanced insulin sensitivity. There was a decrease in systemic inflammation as evidenced by the decreasein ESR levels. These results imply that the iTHRIVE functional nutrition approach used in this investigation might be beneficial for enhancing glycemic controland insulin sensitivity, along with reducing inflammatory markers in people with prediabetes and T2DM. Larger sample sizes and longer periods of monitoring would be useful in subsequent research to validate and build on these encouraging findings.