Displaying publications 21 - 40 of 1247 in total

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  1. Naing C, Mak JW
    PMID: 28127542 DOI: 10.1186/s40200-017-0287-5
    BACKGROUND: Incidence of type 1 diabetes mellitus is increasing worldwide. Monitoring glycaemia is essential for control of diabetes mellitus. Conventional blood-based measurement of glucose requires venepuncture or needle prick, which is not free from pain and risk of infection. The non-invasiveness, ease and low-cost in collection made saliva an attractive alternative sample. The objective of this review was to systematically review the evidence on the relationship between salivary glucose level and blood glucose level in monitoring glycaemia in patients with type 1 diabetes mellitus.
    METHODS: We searched studies which evaluate salivary glucose levels and serum glycaemia in type 1 diabetes mellitus in electronic databases of MEDLINE, EMBASE, Ovid and Google Scholar. We selected the eligible studies, following the inclusion criteria set for this review. Due to heterogeneity of studies, we conducted qualitative synthesis of studies.
    RESULTS: Ten observational studies were included in this review, including a total of 321 cases and 323 controls with ages between 3 and 61 years and the majority were males (62%). Two studies were done exclusively on children below 17 years old. The significant difference between salivary glucose levels in type 1 diabetes mellitus and controls were reported in 6 studies with 8 data sets. Five studies with 7 datasets reported the correlation coefficient between salivary glucose and blood glucose in patients with diabetes.
    CONCLUSIONS: Findings suggest that salivary glucose concentrations may be helpful in monitoring glycaemia in type 1 diabetes mellitus. However, the utility of using salivary glucose level to monitor glycaemia should be evaluated in future well designed, prospective studies with adequate number of participants with type 1 diabetes mellitus.
    Matched MeSH terms: Glucose*
  2. Kalra S, Czupryniak L, Kilov G, Lamptey R, Kumar A, Unnikrishnan AG, et al.
    Diabetes Ther, 2018 Dec;9(6):2185-2199.
    PMID: 30390228 DOI: 10.1007/s13300-018-0521-2
    Premixed insulins are an important tool for glycemic control in persons with diabetes. Equally important in diabetes care is the selection of the most appropriate insulin regimen for a particular individual at a specific time. Currently, the choice of insulin regimens for initiation or intensification of therapy is a subjective decision. In this article, we share insights, which will help in rational and objective selection of premixed formulations for initiation and intensification of insulin therapy. The glycemic status and its variations in a person help to identify the most appropriate insulin regimen and formulation for him or her. The evolution of objective glucometric indices has enabled better glycemic monitoring of individuals with diabetes. Management of diabetes has evolved from a 'glucocentric' approach to a 'patient-centered' approach; patient characteristics, needs, and preferences should be evaluated when considering premixed insulin for treatment of diabetes.Funding: Novo Nordisk, India.
    Matched MeSH terms: Blood Glucose; Blood Glucose Self-Monitoring
  3. Kalra S, Kamaruddin NA, Visvanathan J, Santani R
    Eur Endocrinol, 2019 Aug;15(2):67-69.
    PMID: 31616495 DOI: 10.17925/EE.2019.15.2.67
    This communication shares insights into the definition of disease progression and drug durability in type 2 diabetes. Disease progression may be defined as gradual worsening of beta-cell function, clinically observed as an increase in drug dosage, drug frequency or number of glucose lowering drugs needed to maintain HbA1c control; and/or a ≥0.5% rise in HbA1c, unexplained by acute, modifiable factors, while using the same drug regimen; and/or as the occurrence or worsening of cardiovascular or microvascular complications, in spite of standard care, over a pre-specified time period. Durability of a drug or a drug combination may be defined as its ability to postpone or delay progression of disease, in a safe and well tolerated manner. Thus, all drugs that are able to prevent disease progression (i.e., postpone loss of glycaemic control, need for intensification of therapy or onset or worsening of complications) may be termed 'durable'.
    Matched MeSH terms: Blood Glucose; Glucose
  4. Mohamad Sukri N, Abdul Manas NH, Jaafar NR, A Rahman R, Abdul Murad AM, Md Illias R
    Enzyme Microb Technol, 2024 Jan;172:110350.
    PMID: 37948908 DOI: 10.1016/j.enzmictec.2023.110350
    A suitable nanofiber sheet was formulated and developed based on its efficacy in the immobilization of recombinant Escherichia coli (E. coli) to enhance xylitol production. The effects of different types of nanofibers and solvents on cell immobilization and xylitol production were studied. The most applicable nanofiber membrane was selected via preliminary screening of four types of nanofiber membrane, followed by the selection of six different solvents. Polyvinylidene fluoride (PVDF) nanofiber sheet synthesized using dimethylformamide (DMF) solvent was found to be the most suitable carrier for immobilization and xylitol production. The thin, beaded PVDF (DMF) nanofibers were more favourable for microbial adhesion, with the number of immobilized cells as high as 96 × 106 ± 3.0 cfu/ml. The attraction force between positively charged PVDF nanofibers and the negatively charged E. coli indicates that the electrostatic interaction plays a significant role in cell adsorption. The use of DMF has also produced PVDF nanofibers biocatalyst capable of synthesizing the highest xylitol concentration (2.168 g/l) and productivity (0.090 g/l/h) and 55-69% reduction in cell lysis compared with DMSO solvent and free cells. This finding suggests that recombinant E. coli immobilized on nanofibers shows great potential as a whole-cell biocatalyst for xylitol production.
    Matched MeSH terms: Glucose/metabolism
  5. Zulkifli KK, Mohamed Shah FZ, Ismail AI, Abdul Rahman TH, Ghani RA
    Chron Respir Dis, 2021;18:14799731211056348.
    PMID: 34797178 DOI: 10.1177/14799731211056348
    OBJECTIVES: Dysglycemia is known to be a common comorbidity of chronic obstructive pulmonary disease (COPD). However, undiagnosed dysglycemia and the associated factors remain under-reported. This study aimed to determine the prevalence and the associated factors of dysglycemia among COPD patients.

    METHODS: This was a cross-sectional, single-center study involving adults with established COPD (n = 186) divided into those with or without hospital admissions for acute exacerbation. Oral glucose tolerance test (OGTT) was performed in patients with no known history of dysglycemia.

    RESULTS: There were 16 patients who had overt diabetes, and 32 had prediabetes following the OGTT. Forty percent had histories of hospital admissions for COPD exacerbations. Both groups demonstrated similar 2-h post prandial glucose, glycated hemoglobin (HbA1c) and fasting blood glucose. The incidences of newly diagnosed dysglycemia were higher in both groups (40.8% vs 34.6%, p = 0.57). Cumulative days of admission (≥6 days/year) and weight (≥65 kg) were identified as predictors for dysglycemia within the study population.

    DISCUSSION: This study demonstrated a high number of overt and newly diagnosed dysglycemia among COPD patients who had no previous history of abnormal glucose. Recent acute exacerbations of COPD could have a negative impact on glycemia, although the results did not attain statistical significance. However, there is a need for adequate screening for dysglycemia, particularly among those with frequent acute exacerbations of their condition.

    Matched MeSH terms: Blood Glucose; Glucose Tolerance Test
  6. Moorthy R, Bhattamisra SK, Pandey M, Mayuren J, Kow CS, Candasamy M
    Expert Rev Endocrinol Metab, 2024 Mar;19(2):141-154.
    PMID: 38347803 DOI: 10.1080/17446651.2024.2307526
    INTRODUCTION: Type 2 diabetes (T2D) presents significant global health and economic challenges, contributing to complications such as stroke, cardiovascular disease, kidney dysfunction, and cancer. The current review explores the crucial role of mitochondria, essential for fuel metabolism, in diabetes-related processes.

    AREAS COVERED: Mitochondrial deficits impact insulin-resistant skeletal muscles, adipose tissue, liver, and pancreatic β-cells, affecting glucose and lipid balance. Exercise emerges as a key factor in enhancing mitochondrial function, thereby reducing insulin resistance. Additionally, the therapeutic potential of mitochondrial uncoupling, which generates heat instead of ATP, is discussed. We explore the intricate link between mitochondrial function and diabetes, investigating genetic interventions to mitigate diabetes-related complications. We also cover the impact of insulin deficiency on mitochondrial function, the role of exercise in addressing mitochondrial defects in insulin resistance, and the potential of mitochondrial uncoupling. Furthermore, a comprehensive analysis of Mitochondrial Replacement Therapies (MRT) techniques is presented.

    EXPERT OPINION: MRTs hold promise in preventing the transmission of mitochondrial disease. However, addressing ethical, regulatory, and technical considerations is crucial. Integrating mitochondrial-based treatments requires a careful balance between innovation and safety. Ethical dimensions and regulatory aspects of MRT are examined, emphasizing collaborative efforts for the responsible advancement of human health.

    Matched MeSH terms: Glucose/metabolism
  7. Esmaeili C, Abdi MM, Mathew AP, Jonoobi M, Oksman K, Rezayi M
    Sensors (Basel), 2015;15(10):24681-97.
    PMID: 26404269 DOI: 10.3390/s151024681
    Integrating polypyrrole-cellulose nanocrystal-based composites with glucose oxidase (GOx) as a new sensing regime was investigated. Polypyrrole-cellulose nanocrystal (PPy-CNC)-based composite as a novel immobilization membrane with unique physicochemical properties was found to enhance biosensor performance. Field emission scanning electron microscopy (FESEM) images showed that fibers were nanosized and porous, which is appropriate for accommodating enzymes and increasing electron transfer kinetics. The voltammetric results showed that the native structure and biocatalytic activity of GOx immobilized on the PPy-CNC nanocomposite remained and exhibited a high sensitivity (ca. 0.73 μA·mM(-1)), with a high dynamic response ranging from 1.0 to 20 mM glucose. The modified glucose biosensor exhibits a limit of detection (LOD) of (50 ± 10) µM and also excludes interfering species, such as ascorbic acid, uric acid, and cholesterol, which makes this sensor suitable for glucose determination in real samples. This sensor displays an acceptable reproducibility and stability over time. The current response was maintained over 95% of the initial value after 17 days, and the current difference measurement obtained using different electrodes provided a relative standard deviation (RSD) of 4.47%.
    Matched MeSH terms: Glucose/analysis*; Glucose/metabolism; Glucose Oxidase/metabolism*; Glucose Oxidase/chemistry
  8. Nawawi H, Sazali BS, Kamaruzaman BH, Yazid TN, Jemain AA, Ismail F, et al.
    Ann. Clin. Biochem., 2001 Nov;38(Pt 6):676-83.
    PMID: 11732650
    The effect of ambient temperature on the analytical and clinical performance of a glucose meter was examined. A total of 114 venous whole blood samples were analysed for glucose by a reference method, and by a glucose meter at 21-22 degrees C, room temperatures, 26-27 degrees C and 33-34 degrees C. Glucose meter readings at each temperature were compared with the reference values and evaluated by analysis of variance, Spearman's correlation, the percentage of glucose meter readings within +/- 10% of the reference value and error grid analysis. Analysis of covariance was used to determine the effect of temperature on glucose meter readings. There were no significant differences in the glucose meter readings and in accuracy of the meter readings between different temperatures. Temperature was not a significant independent determinant of the glucose meter readings. For each glucose concentration, the precision of the meter and clinical performance were comparable between the different temperatures. In conclusion, ambient temperature does not affect the accuracy, precision and clinical performance of the Omnitest Sensor.
    Matched MeSH terms: Blood Glucose/analysis; Blood Glucose Self-Monitoring/instrumentation*; Blood Glucose Self-Monitoring/standards; Blood Glucose Self-Monitoring/statistics & numerical data
  9. Yee YC, Hashim R, Mohd Yahya AR, Bustami Y
    Sensors (Basel), 2019 May 31;19(11).
    PMID: 31159318 DOI: 10.3390/s19112511
    Glucose oxidase (EC 1.1.3.4) sensors that have been developed and widely used for glucose monitoring have generally relied on electrochemical principle. In this study, the potential use of colorimetric method for glucose detection utilizing glucose oxidase-magnetic cellulose nanocrystals (CNCs) is explored. Magnetic cellulose nanocrystals (magnetic CNCs) were fabricated using iron oxide nanoparticles (IONPs) and cellulose nanocrystals (CNCs) via electrostatic self-assembly technique. Glucose oxidase was successfully immobilized on magnetic CNCs using carbodiimide-coupling reaction. About 33% of GOx was successfully attached on magnetic CNCs, and the affinity of GOx-magnetic CNCs to glucose molecules was slightly higher than free enzymes. Furthermore, immobilization does not affect the specificity of GOx-magnetic CNCs towards glucose and can detect glucose from 0.25 mM to 2.5 mM. Apart from that, GOx-magnetic CNCs stored at 4 °C for 4 weeks retained 70% of its initial activity and can be recycled for at least ten consecutive cycles.
    Matched MeSH terms: Blood Glucose/analysis; Glucose Oxidase/metabolism*; Glucose Oxidase/chemistry*; Blood Glucose Self-Monitoring
  10. Chew WF, Rokiah P, Chan SP, Chee WS, Lee LF, Chan YM
    Singapore Med J, 2012 Dec;53(12):814-20.
    PMID: 23268155
    INTRODUCTION:
    Women with previous gestational diabetes mellitus (PGDM) are at increased risk of future glucose intolerance. This study aimed to determine the prevalence of prediabetes and type 2 diabetes mellitus (T2DM), and the associated antenatal and historical risk factors among women with PGDM.
    METHODS:
    This was a cross-sectional study conducted at University Malaya Medical Centre, Kuala Lumpur, Malaysia. A 75-g 2-hour oral glucose tolerance test was performed in a cohort of multiethnic women with PGDM. Body mass index, waist and hip circumferences, fasting lipid profile and blood pressure were obtained. Data pertaining to the index gestational diabetes mellitus (GDM) were obtained from medical records and interviews.
    RESULTS:
    448 women were enrolled in the study. The prevalence of prediabetes and T2DM was 26.2% and 35.5%, respectively. On multinomial logistic regression analysis, fasting plasma glucose at diagnosis of index GDM and duration lapse after index GDM were shown to be significantly higher in women with isolated impaired fasting glucose (IFG), combined IFG/impaired glucose tolerance and T2DM, as compared to women with normal glucose tolerance (p < 0.05). 2-hour plasma glucose at diagnosis of index GDM was significantly higher only in women who progressed to T2DM when compared to those that remained normal glucose tolerant (p < 0.05).
    CONCLUSION:
    In this study, duration lapse after index GDM, fasting plasma glucose and 2-hour plasma glucose at diagnosis of index GDM were important risk factors for early identification of women at high risk for future glucose intolerance. These may be useful for developing potential preventive strategies.
    Matched MeSH terms: Blood Glucose/metabolism*; Glucose Tolerance Test; Glucose Intolerance/blood; Glucose Intolerance/etiology; Glucose Intolerance/epidemiology*
  11. van Eekelen A, Stokvis-Brantsma H, Frölich M, Smelt AH, Stokvis H
    Diabetes Care, 2000 Sep;23(9):1435-6.
    PMID: 10977050
    Matched MeSH terms: Blood Glucose/metabolism; Glucose Tolerance Test; Glucose Intolerance/epidemiology*
  12. Ridhuan NS, Abdul Razak K, Lockman Z
    Sci Rep, 2018 09 13;8(1):13722.
    PMID: 30213995 DOI: 10.1038/s41598-018-32127-5
    Highly oriented ZnO nanorod (NR) arrays were fabricated on a seeded substrate through a hydrothermal route. The prepared ZnO nanorods were used as an amperometric enzyme electrode, in which glucose oxidase (GOx) was immobilised through physical adsorption. The modified electrode was designated as Nafion/GOx/ZnO NRs/ITO. The morphology and structural properties of the fabricated ZnO nanorods were analysed using field-emission scanning electron microscope and X-ray diffractometer. The electrochemical properties of the fabricated biosensor were studied by cyclic voltammetry and amperometry. Electrolyte pH, electrolyte temperature and enzyme concentration used for immobilisation were the examined parameters influencing enzyme activity and biosensor performance. The immobilised enzyme electrode showed good GOx retention activity. The amount of electroactive GOx was 7.82 × 10-8 mol/cm2, which was relatively higher than previously reported values. The Nafion/GOx/ZnO NRs/ITO electrode also displayed a linear response to glucose ranging from 0.05 mM to 1 mM, with a sensitivity of 48.75 µA/mM and a low Michaelis-Menten constant of 0.34 mM. Thus, the modified electrode can be used as a highly sensitive third-generation glucose biosensor with high resistance against interfering species, such as ascorbic acid, uric acid and L-cysteine. The applicability of the modified electrode was tested using human blood samples. Results were comparable with those obtained using a standard glucometer, indicating the excellent performance of the modified electrode.
    Matched MeSH terms: Glucose/isolation & purification*; Glucose/chemistry; Glucose Oxidase/chemistry
  13. Zheng S, Zhang H, Lakshmipriya T, Gopinath SCB, Yang N
    Biomed Res Int, 2019;2019:9726967.
    PMID: 31380444 DOI: 10.1155/2019/9726967
    Gestational diabetes (hyperglycaemia) is an elevated blood sugar level diagnosed during the period of pregnancy and affects the baby's health. Hyperglycaemia has been found within the gestational weeks between 24 and 28, and the foetus has also the possibility of getting out prior to this test frame; it causes excessive birth weight, early birth, low-blood sugar level, respiratory distress syndrome, and type-2 diabetes to the mother. It creates a mandatory situation to identify the hyperglycaemia at least during the pregnancy weeks from 18 to 20. Further, a continuous monitoring of the level of glucose is necessary for the proper delivery. In this work, a method is introduced for glucose detection at 0.06 mg/mL, assisted by gold nanorod (GNR)-conjugated glucose oxidase (GOx) on interdigitated electrode sensor. In the absence of GNR, GOx shows the limit of glucose detection to be 0.25 mg/mL. Moreover, with GOx-GNR the reactions of all the glucose concentrations have recorded higher levels of the current from the baseline. With the specificity analysis, it was found that the glucose only reacts with GOx-GNR and discriminates other sugars efficiently. This method of detection is useful to diagnose and continuously monitor the glucose level during the pregnancy period.
    Matched MeSH terms: Blood Glucose/isolation & purification*; Blood Glucose/chemistry; Glucose Oxidase/chemistry
  14. Abdul Wahab SA, Yakob Y, Mohd Khalid MKN, Ali N, Leong HY, Ngu LH
    Genet Res (Camb), 2022;2022:5870092.
    PMID: 36160031 DOI: 10.1155/2022/5870092
    BACKGROUND: Glycogen storage disease type 1a (GSD1a) is a rare autosomal recessive metabolic disorder characterized by hypoglycaemia, growth retardation, lactic acidosis, hepatomegaly, hyperlipidemia, and nephromegaly. GSD1a is caused by a mutation in the G6PC gene encoding glucose-6-phosphatase (G6Pase); an enzyme that catalyses the hydrolysis of glucose-6-phosphate (G6P) to phosphate and glucose.

    OBJECTIVE: To elaborate on the clinical findings, biochemical data, molecular genetic analysis, and short-term prognosis of 13 GSD1a patients in Malaysia.

    METHODS: The information about 13 clinically classified GSD1a patients was retrospectively studied. The G6PC mutation analysis was performed by PCR-DNA sequencing.

    RESULTS: Patients were presented with hepatomegaly (92%), hypoglycaemia (38%), poor weight gain (23%), and short stature (15%). Mutation analysis revealed nine heterozygous mutations; eight previously reported mutations (c.155 A > T, c.209 G > A, c.226 A > T, c.248 G > A, c.648 G > T, c.706 T > A, c.1022 T > A, c.262delG) and a novel mutation (c.325 T > C). The most common mutation found in Malaysian patients was c.648 G > T in ten patients (77%) of mostly Malay ethnicity, followed by c.248 G > A in 4 patients of Chinese ethnicity (30%). A novel missense mutation (c.325 T > C) was predicted to be disease-causing by various in silico software.

    CONCLUSIONS: The establishment of G6PC molecular genetic testing will enable the detection of presymptomatic patients, assisting in genetic counselling while avoiding the invasive methods of liver biopsy.

    Matched MeSH terms: Glucose; Glucose-6-Phosphatase/genetics; Glucose-6-Phosphatase/metabolism; Glucose-6-Phosphate
  15. Kalok A, Ong MY, Hasrori A, Chiang KS, Yazim F, Baharuddin S, et al.
    PMID: 32987806 DOI: 10.3390/ijerph17196990
    Gestational diabetes mellitus (GDM) is associated with maternal and neonatal complications. We aimed to evaluate the relationship between the abnormalities of the oral glucose tolerance test (OGTT) and adverse pregnancy outcomes. This was a retrospective study of GDM patients over a five-year period in a Malaysian tertiary center. The diagnosis of GDM was based on the National Institute for Health and Care Excellence (NICE) guideline. The data on patients' demographics, OGTT results, GDM treatment, and pregnancy outcomes were analyzed. A total of 1105 women were included in the final analysis. The percentage of women with isolated abnormal fasting glucose, isolated two-hour abnormality, and both abnormal values were 4.8%, 87.1%, and 8.1%, respectively. Women with both OGTT abnormalities had a higher risk of preeclampsia (odds ratio (OR) 4.73; 95% confidence interval (CI) 1.45-15.41) and neonatal hypoglycemia (OR 8.78; 95% CI 1.93-39.88). Isolated postprandial abnormality was associated with an 80% lesser risk of neonatal hypoglycemia (OR 0.19; 95% CI 0.04-0.87). Both isolated fasting and multiple OGTT abnormalities were associated with insulin therapy. Multiple OGTT abnormalities were a positive predictor of adverse pregnancy outcomes, while isolated postprandial abnormality was associated with a lesser risk of neonatal complication. Further prospective study is essential to validate these findings.
    Matched MeSH terms: Blood Glucose; Glucose Tolerance Test*
  16. Sheikh Ghadzi SM, Karlsson MO, Kjellsson MC
    CPT Pharmacometrics Syst Pharmacol, 2017 10;6(10):686-694.
    PMID: 28575547 DOI: 10.1002/psp4.12214
    In antihyperglycemic drug development, drug effects are usually characterized using glucose provocations. Analyzing provocation data using pharmacometrics has shown powerful, enabling small studies. In preclinical drug development, high power is attractive due to the experiment sizes; however, insulin is not always available, which potentially impacts power and predictive performance. This simulation study was performed to investigate the implications of performing model-based drug characterization without insulin. The integrated glucose-insulin model was used to simulate and re-estimated oral glucose tolerance tests using a crossover design of placebo and study compound. Drug effects were implemented on seven different mechanisms of action (MOA); one by one or in two-drug combinations. This study showed that exclusion of insulin may severely reduce the power to distinguish the correct from competing drug effect, and to detect a primary or secondary drug effect, however, it did not affect the predictive performance of the model.
    Matched MeSH terms: Blood Glucose/analysis*; Glucose Tolerance Test
  17. Choy C, Lim LY, Chan LW, Cui Z, Mao S, Wong TW
    Pharmacol Rev, 2022 Oct;74(4):962-983.
    PMID: 36779351 DOI: 10.1124/pharmrev.122.000631
    Subcutaneous and inhaled insulins are associated with needle phobia, lipohypertrophy, lipodystrophy, and cough in diabetes treatment. Oral nanoinsulin has been developed, reaping the physiologic benefits of peroral administration. This review profiles intestinal receptors exploitable in targeted delivery of oral nanoinsulin. Intestinal receptor targeting improves oral insulin bioavailability and sustains blood glucose-lowering response. Nonetheless, these studies are conducted in small animal models with no optimization of insulin dose, targeting ligand type and content, and physicochemical and molecular biologic characteristics of nanoparticles against the in vivo/clinical diabetes responses as a function of the intestinal receptor population characteristics with diabetes progression. The interactive effects between nanoinsulin and antidiabetic drugs on intestinal receptors, including their up-/downregulation, are uncertain. Sweet taste receptors upregulate SGLT-1, and both have an undefined role as new intestinal targets of nanoinsulin. Receptor targeting of oral nanoinsulin represents a viable approach that is relatively green, requiring an in-depth development of the relationship between receptors and their pathophysiological profiles with physicochemical attributes of the oral nanoinsulin. SIGNIFICANCE STATEMENT: Intestinal receptor targeting of oral nanoinsulin improves its bioavailability with sustained blood glucose-lowering response. Exploring new intestinal receptor and tailoring the design of oral nanoinsulin to the pathophysiological state of diabetic patients is imperative to raise the insulin performance to a comparable level as the injection products.
    Matched MeSH terms: Blood Glucose; Glucose/therapeutic use
  18. Elancheziyan M, Prakasham K, Eswaran M, Duraisamy M, Ganesan S, Lee SL, et al.
    Environ Res, 2023 Apr 15;223:115403.
    PMID: 36754108 DOI: 10.1016/j.envres.2023.115403
    The design and development of eco-friendly fabrication of cost-effective electrochemical nonenzymatic biosensors with enhanced sensitivity and selectivity are one of the emerging area in nanomaterial and analytical chemistry. In this aspect, we developed a facile fabrication of tertiary nanocomposite material based on cobalt and polymelamine/nitrogen-doped graphitic porous carbon nanohybrid composite (Co-PM-NDGPC/SPE) for the application as a nonenzymatic electrochemical sensor to quantify glucose in human blood samples. Co-PM-NDGPC/SPE nanocomposite electrode fabrication was achieved using a single-step electrodeposition method under cyclic voltammetry (CV) technique under 1 M NH4Cl solution at 20 constitutive CV cycles (sweep rate 20 mV/s). Notably, the fabricated nonenzymatic electroactive nanocomposite material exhibited excellent electrocatalytic sensing towards the quantification of glucose in 0.1 M NaOH over a wide concentration range from 0.03 to 1.071 mM with a sensitive limit of detection 7.8 μM. Moreover, the Co-PM-NDGPC nanocomposite electrode with low charge transfer resistance (Rct∼81 Ω) and high ionic diffusion indicates excellent stability, reproducibility, and high sensitivity. The fabricated nanocomposite materials exhibit a commendable sensing response toward glucose molecules present in the blood serum samples recommends its usage in real-time applications.
    Matched MeSH terms: Blood Glucose; Glucose; Blood Glucose Self-Monitoring
  19. Lokman FE, Gu HF, Wan Mohamud WN, Yusoff MM, Chia KL, Ostenson CG
    PMID: 24319481 DOI: 10.1155/2013/727602
    Aims. To evaluate the antidiabetic properties of borapetol B known as compound 1 (C1) isolated from Tinospora crispa in normoglycemic control Wistar (W) and spontaneously type 2 diabetic Goto-Kakizaki (GK) rats. Methods. The effect of C1 on blood glucose and plasma insulin was assessed by an oral glucose tolerance test. The effect of C1 on insulin secretion was assessed by batch incubation and perifusion experiments using isolated pancreatic islets. Results. An acute oral administration of C1 improved blood glucose levels in treated versus placebo groups with areas under glucose curves 0-120 min being 72 ± 17 versus 344 ± 10 mmol/L (P < 0.001) and 492 ± 63 versus 862 ± 55 mmol/L (P < 0.01) in W and GK rats, respectively. Plasma insulin levels were increased by 2-fold in treated W and GK rats versus placebo group at 30 min (P < 0.05). C1 dose-dependently increased insulin secretion from W and GK isolated islets at 3.3 mM and 16.7 mM glucose. The perifusions of isolated islets indicated that C1 did not cause leakage of insulin by damaging islet beta cells (P < 0.001). Conclusion. This study provides evidence that borapetol B (C1) has antidiabetic properties mainly due to its stimulation of insulin release.
    Matched MeSH terms: Blood Glucose; Glucose; Glucose Tolerance Test
  20. Bian Q, As'arry A, Cong X, Rezali KABM, Raja Ahmad RMKB
    PLoS One, 2024;19(9):e0310084.
    PMID: 39259758 DOI: 10.1371/journal.pone.0310084
    The global prevalence of diabetes is escalating, with estimates indicating that over 536.6 million individuals were afflicted by 2021, accounting for approximately 10.5% of the world's population. Effective management of diabetes, particularly monitoring and prediction of blood glucose levels, remains a significant challenge due to the severe health risks associated with inaccuracies, such as hypoglycemia and hyperglycemia. This study addresses this critical issue by employing a hybrid Transformer-LSTM (Long Short-Term Memory) model designed to enhance the accuracy of future glucose level predictions based on data from Continuous Glucose Monitoring (CGM) systems. This innovative approach aims to reduce the risk of diabetic complications and improve patient outcomes. We utilized a dataset which contain more than 32000 data points comprising CGM data from eight patients collected by Suzhou Municipal Hospital in Jiangsu Province, China. This dataset includes historical glucose readings and equipment calibration values, making it highly suitable for developing predictive models due to its richness and real-time applicability. Our findings demonstrate that the hybrid Transformer-LSTM model significantly outperforms the standard LSTM model, achieving Mean Square Error (MSE) values of 1.18, 1.70, and 2.00 at forecasting intervals of 15, 30, and 45 minutes, respectively. This research underscores the potential of advanced machine learning techniques in the proactive management of diabetes, a critical step toward mitigating its impact.
    Matched MeSH terms: Blood Glucose Self-Monitoring/instrumentation; Blood Glucose Self-Monitoring/methods
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