Relevant bibliographies by topics / Glucose

Academic literature on the topic 'Glucose'

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Published: 4 June 2021
Last updated: 27 July 2024

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Journal articles on the topic "Glucose"

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Foley, J. E., P. Thuillez, S. Lillioja, J. Zawadzki, and C. Bogardus. "Insulin sensitivity in adipocytes from subjects with varying degrees of glucose tolerance." American Journal of Physiology-Endocrinology and Metabolism 251, no. 3 (September 1, 1986): E306—E310. http://dx.doi.org/10.1152/ajpendo.1986.251.3.e306.

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Previous studies showed that the sensitivity of glucose transport to insulin is lower in adipocytes isolated from subjects with noninsulin-dependent diabetes mellitus and impaired glucose tolerance compared with subjects with normal glucose tolerance. This study analyzed the relationship between insulin sensitivity of glucose transport and glycemia in a large group of nondiabetic-nonglucose-intolerant subjects with a wide range of glycemic response to oral glucose. Seventy-four Pima Indians with 2-h postglucose load glucoses between 77 and 197 mg/100 ml, fasting plasma glucoses between 76 and 108 mg/100 ml, and no postload glucoses less than 199 mg/100 ml were studied. Isolated adipocytes were prepared in vitro after an abdominal fat biopsy, ED50 of insulin for glucose transport was correlated with 2-h postload glucoses, but not between insulin binding per cell or per cell surface area or in ED50 of insulin for antilipolysis and 2-h postglucose load glucoses. Although only 17% of the variation in glucose tolerance could be explained by a change in the sensitivity of glucose transport to insulin, the data suggests that a postinsulin-binding defect in the coupling of insulin binding to glucose transport may be an early step in the development of insulin resistance in human adipocytes.
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Cembrowski, George, Joanna Jung, Junyi Mei, Eric Xu, Tihomir Curic, RT Noel Gibney, Michael Jacka, and Hossein Sadrzadeh. "Five-Year Two-Center Retrospective Comparison of Central Laboratory Glucose to GEM 4000 and ABL 800 Blood Glucose: Demonstrating the (In)adequacy of Blood Gas Glucose." Journal of Diabetes Science and Technology 14, no. 3 (November 5, 2019): 535–45. http://dx.doi.org/10.1177/1932296819883260.

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Purpose: To evaluate the glucose assays of two blood gas analyzers (BGAs) in intensive care unit (ICU) patients by comparing ICU BGA glucoses to central laboratory (CL) glucoses of almost simultaneously drawn specimens. Methods: Data repositories provided five years of ICU BGA glucoses and contemporaneously drawn CL glucoses from a Calgary, Alberta ICU equipped with IL GEM 4000 and CL Roche Cobas 8000-C702, and an Edmonton, Alberta ICU equipped with Radiometer ABL 800 and CL Beckman-Coulter DxC. Blood glucose analyzer and CL glucose differences were evaluated if they were both drawn either within ±15 or ±5 minutes. Glucose differences were assessed graphically and quantitatively with simple run charts and the surveillance error grid (SEG) and quantitatively with the 2016 Food and Drug Administration guidance document, with ISO 15197 and SEG statistical summaries. As the GEM glucose exhibits diurnal variation, CL-arterial blood gas (ABG) differences were evaluated according to time of day. Results: Compared to the GEM glucoses measured between 0200 and 0800, the run charts of (GEM-CL) glucose demonstrate significant outliers between 0800 and 0200 which are identified as moderate to severe clinical outliers by SEG analysis ( P < .002 and P < .0005 for 5- and 15-minute intervals). Over the entire 24-hour period, the rates of moderate to severe glucose clinical outliers are 3.5/1000 (GEM) and 0.6/1000 glucoses (ABL), respectively, using the 15-minute interval ( P < .0001). Discussion: The GEM ABG glucose is associated with a higher frequency of moderate to severe glucose clinical outliers, especially between 0800 and 0200, increased CL testing and higher average patient glucoses.
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Darwin. "Determination of Glucose Concentration in Anaerobic Acidification Cultures by Portable Glucose Monitoring System." Asian Journal of Chemistry 31, no. 4 (February 27, 2019): 763–66. http://dx.doi.org/10.14233/ajchem.2019.21593.

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In mixed microbial fermentation, sugar concentration should be monitored regularly in order to evaluate the effectiveness of fermentation process. Anaerobic acidification fermentation is the process involving microbes to convert the soluble carbohydrate (e.g. glucose) derived from the hydrolysis of insoluble carbohydrates (e.g. starch). The determination of glucose during the fermentation is essential in order to evaluate the mass balance of electron transfer from the oxidation of glucose to the fermentation end-products (e.g. organic acids and alcohols). The fast and practical measurements of glucose concentration in the fermentation broth are highly required to evaluate and ensure the stability of fermentation process. The results showed that once glucose as a soluble sugar is available in the fermentation broth, it was accurately measured by GlucoDr blood glucose biosensor. The standard curve of glucose solution showed the linear relationship between glucometer reading and glucose concentration in which the coefficient determination obtained was at about 0.99. This indicated that glucose analysis with using GlucoDr blood glucose biosensor was accurate and reproducible.
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Park, Ji-Yeon, Sung-Chool Park, and Jae-Ho Pyee. "Functional Analysis of a Grapevine UDP-Glucose Flavonoid Glucosyl Transferase (UFGT) Gene in Transgenic Tobacco Plants." Journal of Life Science 20, no. 2 (February 28, 2010): 292–97. http://dx.doi.org/10.5352/jls.2010.20.2.292.

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Hargreaves, M., A. Rose, K. Howlett, and D. S. King. "GLUCOSE KINETICS FOLLOWING GLUCOSE INGESTION." Medicine & Science in Sports & Exercise 33, no. 5 (May 2001): S97. http://dx.doi.org/10.1097/00005768-200105001-00548.

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Harmayetty, Harmayetty, Ilya Krisnana, and Faida Anisa. "String Bean Juice Decreases Blood Glucose Level Patients with Diabetes Mellitus." Jurnal Ners 4, no. 2 (July 23, 2017): 116–21. http://dx.doi.org/10.20473/jn.v4i2.5022.

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Introduction: Type 2 diabetes mellitus is deficiency of insulin and caused by decreases of insulin receptor or bad quality of insulin. As a result, insulin hormone does not work effectively in blood glucose regulation. String bean juice contains thiamin and fiber may regulate blood glucose level. The aim of this study was to analyze the effect of string bean juice to decrease blood glucose level of patients with type 2 diabetes mellitus. Method: This study employed a quasy-experimental pre-post test control group design and purposive sampling. The population were all type 2 diabetes mellitus patients in Puskesmas Pacar Keling Surabaya. Sample were 12 patients who met inclusion criteria. The independent variable was string bean juice and dependent variable was blood glucose level. Data were analyzed by using Paired T-test with significance level of α≤ 0.05 and Independent T-test with significant level of α≤0.05. Result: The results showed that string bean juice has an effect on decreasing blood glucose between pre test and post test for blood glucose with independent T-test is p=0.003.In conclusion, string bean juice has an effect on blood glucose level in patients with type 2 diabetes mellitus.Discussion: The possible explanation for this findings is string bean juice contains two ingredients: thiamine and fiber. Thiamine helps support insulin receptors and glucose transporter in cells hence GLUT-4 could translocated to the cell membrane brought glucouse enter to the intracellular compartment, that leads to blood glucouse level well regulated. Dietary fiber reduces food transit time so slowing the glucose absorption. Therefore blood glucose level will be decreased.
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Pane, Gregg A., and Frederick B. Epstein. "Glucose." Emergency Medicine Clinics of North America 4, no. 1 (February 1986): 193–205. http://dx.doi.org/10.1016/s0733-8627(20)30991-3.

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&NA;. "Glucose." Reactions Weekly &NA;, no. 1090 (February 2006): 13–14. http://dx.doi.org/10.2165/00128415-200610900-00039.

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Sieber, Frederick E., David S. Smith, Richard J. Traystman, and Harry Wollman. "Glucose." Anesthesiology 67, no. 1 (July 1, 1987): 72–81. http://dx.doi.org/10.1097/00000542-198707000-00013.

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&NA;. "Glucose." Reactions Weekly &NA;, no. 1343 (March 2011): 18. http://dx.doi.org/10.2165/00128415-201113430-00063.

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Dissertations / Theses on the topic "Glucose"

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Teutenberg, Kevin. "Glucose, glucose transporters and neurogenesis." Thesis, University of Ottawa (Canada), 2008. http://hdl.handle.net/10393/28026.

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Since the pioneering work of Altman in the late 60's, much has been learned about the generation of neurons in the adult brains of several species, including mice, rats, and humans. An underlying assumption is that these newborn neurons acquire their energy, in the form of glucose, in a similar manner to mature neurons: via glucose transporters. Using BRDU and double immunohistochemistry, we investigated the relationship between hippocampal neurogenesis and glucose transporters, as well as monocarboxylate transporters. Unexpectedly, the results suggest that newborn neurons do not acquire their energy via the major glucose transporters (1, 3, 4, and 8), nor via either monocarboxylate transporter tested (1 and 2). Future studies will have to resolve whether lesser known glucose transporters carry this function or if other mechanisms are used to provide metabolic energy to newborn neurons.
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Sauer, Gudrun Anna. "Untersuchungen zum Glucose-Auswärtstransport des Na+/Glucose-Cotransporter [Na+/Glucose-Cotransporters] SGLT1." [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=965190358.

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Pasta, M. "GLUCOSE ELECTROOXIDATION." Doctoral thesis, Università degli Studi di Milano, 2010. http://hdl.handle.net/2434/150142.

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The electrooxidation of glucose has attracted a lot of interest due to its applications in blood glucose sensors and biological fuel cells. Glucose sensors optimization is highly necessary to improve the treatment of Diabetes Mellitus, a chronic disease affecting millions of people around the world, while biological fuel cells have been studied in order to explore new, renewable energy sources alternative to fossil fuels. There are three main ways to perform glucose electrooxidation, depending on the active oxidant agent or mediator employed: enzymatic electrooxidation utilizes enzymes such as glucose oxidase and glucose dehydrogenase in their isolated forms; abiotical electrooxidation makes use of non-biological catalysts e.g., noble metals and microbial electrooxidation employs the whole enzymatic system of an electroactive microorganism. Many researchers in the past focused on the utilization of enzymes to facilitate the process of glucose oxidation, however the limited enzyme stability and difficult immobilization procedures impede long term applications. During my PhD training I worked on both abiotical and microbial electrocatalysis; the former (at gold electrodes) applied to glucose sensing and glucose-gluconate fuel cells, the latter for the development of microbial fuel cells (MFCs). The complex oxidation of glucose at the surface of gold electrodes was studied in detail in different conditions of pH, buffer and halide concentration. As observed in previous studies, an oxidative current peak occurs during the cathodic sweep showing a highly linear dependence on glucose concentration, when other electrolyte conditions are unchanged. The effect of the different conditions on the intensity of this peak has stressed the limitations of the previously proposed mechanisms. A mechanism able to explain the presence of this oxidative peak was proposed in which the key step is the competitive adsorption at the active sites of the ionic species present in the solution (phosphate buffer, chlorides and OH-) and the substrate (glucose). Simulations of the proposed mechanism have supported the plausibility of the mechanism. The application of the above mentioned peak in blood glucose sensing has been hindered by the presence of inhibitors: chlorides amino acids and human albumin. Among them chlorides are the most problematic because of their high concentration in the blood (about 0.1 M) and the difficulty inherent in trying to separate them from glucose. In order to overcome this problem we developed a four-step, three electrode (silver gauze, gold pin and platinum counter electrode) technique. In the first step a silver gauze working electrode is oxidized to silver chloride, while water is reduced at the platinum counter electrode. In the overall reaction, for every chloride removed, a hydroxide ion is generated shifting the solution pH from 7.4 to 11.5. In the second step the gold pin electrode surface is oxidized to gold hydroxide and subsequently reduced in the third step: once the gold surface is regenerated, glucose can be re-adsorbed and oxidized giving rise to the sensing peak. In the last (fourth) step, the silver gauze (partially covered with silver chloride from step 1) is reduced and regenerated, ready for the next sensing. For the first time, an electrochemical glucose sensor able to work in the presence of chlorides and with higher accuracies and sensitivities than an enzymatic device was proposed. All the materials used in the prototype (silver, platinum and gold) are fully bio-compatible thus prefiguring an application in implantable glucose sensors, the future glucose meters technology. The direct oxidation of glucose to produce electrical energy has been widely investigated because of renewability, abundance, high energy density and easy handling of the carbohydrate. Most of the previous studies were conducted in extreme conditions in order to achieve complete glucose oxidation to CO2, neglecting the carbohydrate chemical instability that generally leads to useless by-products mixtures. Instead the partial oxidation to gluconate, originally studied for implantable fuel cells, has the advantage of generating a commercially valuable chemical. For this reason, we started optimizing fuel composition and operating conditions in order to selectively oxidize glucose to gluconate, maximizing the power density output of a standard commercial platinum based anode material. A deep electrochemical characterization concerning reversible potential, cyclic voltammetry and overpotential measurements have been carried out at 25°C in the D-(+)-glucose concentration range 0.01 to 1.0M. NMR and EIS investigation clarified the role of the buffer (Na2HPO4/NaH2PO4) in enhancing the electrochemical performance: it changes the reaction rates and steps; it increases the amount of β form of glucose; it increases the conductivity of the solution; it may adsorb at the platinum surface of platinum and subtract active sites for the electrooxidation of glucose as already highlighted for gold electrodes. Moreover the presence of the buffer not only stabilizes the potential, but also improves the electrochemical performances of the anode in term of exchange current density. Such behavior is not ascribable to the chemical interaction with glucose, as demonstrated by NMR measurements, but to the interaction with the anode material as indicated by the decrease of all the resistive components in the EIS measurement. In order to improve the anode performance of the previously discussed glucose-gluconate FCs, the electrocatalytic properties of nanostructured gold electrodes were investigated, by cyclic voltammetry, and compared with commercially available polycrystalline gold electrodes. These nanostructured electrodes were prepared by depositing gold nanoparticles from a colloidal dispersion (sol) onto different carbonaceous conductive supports: glassy carbon, carbon cloth and graphite paper. The gold sol was prepared reducing an aqueous solution of tetrachloroauric acid with sodium borohydride. The gold particles (average size 100 nm) exhibit better electrocatalytic properties with respect to commercially available polycrystalline electrode for glucose oxidation. A surface treatment of the carbonaceous conductive supports with warm concentrated nitric acid resulted in an improved adhesion of the gold nanoparticles. Gold on treated carbon cloth turned out to be a very promising anode for glucose electrooxidation. On the basis of the information acquired in the above mentioned studies, we came out with a new anode for glucose-gluconate direct oxidation fuel cells prepared by electrodeposition of gold nanoparticles on what we called a “conductive energy textile” realized by conformally coating polyester textile substrates with single walled carbon nanotubes (SWNT). The electrodeposition conditions have been optimized in order to obtain uniform distribution of gold nanoparticles in the 3D porous structure of the conductive textile. The electrochemical characterization, carried out by means of cyclic voltammetry, showed higher current densities with respect to the previously reported materials. As previously mentioned I also worked on microbial glucose electrooxidation applied to microbial fuel cells. As a new member in the fuel cell family, microbial fuel cells (MFCs) are devices that convert chemical energy into electrical energy by the catalytic activity of microorganisms. The most promising application of this technology is to harvest energy from undesirable fuel sources, such as the organic matter in domestic wastewater, marine sediment, or human excrement in space. A novel carbon nanotube-cotton (CNT-cotton) composite material with high conductivity and high porosity was proposed to be used as anode for achieving high-performance MFCs. Scanning electron microscope (SEM) images of microorganisms growing on the CNT layer provided the direct evidence to support the biocompatibility of the CNTs and their feasibility to be used as the anode in MFCs. The randomly intertwined CNT-cotton fibers create a 3D active space for biofilm growth, and meanwhile, the incompact macroporous structure allows efficient mass transfer for microbial metabolism inside the anode. Furthermore, the coated CNTs significantly improve the mechanical binding as well as the electrical conductivity between the exoelectrogenic microorganisms and the CNT-cotton anode. Compared to commercial carbon cloth anode, the CNT-cotton anode achieves 64% higher power density and 75% higher energy recovery efficiency in MFCs. Air is considered to be the most suitable oxidant for field scale MFCs, because it is free and inexhaustible. However, the oxygen reduction efficiency is highly constrained by the specific operating conditions of MFCs, such as ambient temperature and mostly neutral pH. Thus, cathode performance often limits the power output of MFCs. Moreover, cathode usually accounts for the greatest part of the total capital cost of a MFC, mainly because of the use of precious metal catalyst like Pt. Therefore, improving the cathode performance decreasing the catalyst loading represents a critical issue for researchers working on MFCs. A new CNT-textile-Pt cathode specially designed for aqueous-cathode MFCs was obtained by electrochemically depositing Pt nanoparticles on a macroporous CNT-textile substrate. This CNT-textile-Pt cathode shows two orders higher of surface area utilization efficiency than the commercial carbon cloth (CC)-Pt cathode. Assisted by the additional catalytic activity of CNTs, the MFCs equipped with CNT-textile-Pt cathodes achieve higher power density (2.14-fold) with lower Pt loading (19.3%). Moreover, the synthesis process of CNT-textile-Pt is simple and scalable. Thus, CNT-textile-Pt is promising to function as cathodes for large scale high performance aqueous-cathode MFCs. In parallel to glucose electrooxidation a new stretchable, porous conductive energy textile has been developed. Recently there is strong interest in lightweight, flexible and wearable electronics to meet the technological demands of modern society. Integrated energy storage devices of this type are a key area that is still significantly underdeveloped. We developed wearable power devices using everyday textiles as the platform. With an extremely simple “dipping and drying” process using single-walled carbon nanotube (SWNT) ink, we produced highly conductive textiles with conductivity of 125 S cm-1 and sheet resistance less than 1 Ω/sq. Such conductive textiles show outstanding flexibility and stretchability, and demonstrate strong adhesion between the SWNTs and the textiles of interest. Supercapacitors (SC) made from these conductive textiles show high areal capacitance, up to 0.48 F cm-2, and high specific energy. We demonstrated that the loading of pseudocapacitor materials into these conductive textiles leads to a twenty four-fold increase of the areal capacitance of the device. Moreover, supercapacitors have been fabricated using the conductive energy textile as both active material and current collector (resistance lower than 1 Ω/sq). The device has excellent cycling performance (good capacity retention after 35,000 cycles) and high specific capacitance (70–80 F g-1 at 0.1 mA cm–2). The as prepared device is fully wearable since both the textile (cotton) and the lithium sulfate electrolyte are compatible with the human body. It can also be integrated into wearable devices. By means of impedance spectroscopy and differential curves, we have highlighted an additional reversible capacitance due to a slow ionsorption process.
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Rapoport, Benjamin Isaac. "Glucose-powered neuroelectronics." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66460.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 157-164).
A holy grail of bioelectronics is to engineer biologically implantable systems that can be embedded without disturbing their local environments, while harvesting from their surroundings all of the power they require. As implantable electronic devices become increasingly prevalent in scientific research and in the diagnosis, management, and treatment of human disease, there is correspondingly increasing demand for devices with unlimited functional lifetimes that integrate seamlessly with their hosts in these two ways. This thesis presents significant progress toward establishing the feasibility of one such system: A brain-machine interface powered by a bioimplantable fuel cell that harvests energy from extracellular glucose in the cerebrospinal fluid surrounding the brain. The first part of this thesis describes a set of biomimetic algorithms and low-power circuit architectures for decoding electrical signals from ensembles of neurons in the brain. The decoders are intended for use in the context of neural rehabilitation, to provide paralyzed or otherwise disabled patients with instantaneous, natural, thought-based control of robotic prosthetic limbs and other external devices. This thesis presents a detailed discussion of the decoding algorithms, descriptions of the low-power analog and digital circuit architectures used to implement the decoders, and results validating their performance when applied to decode real neural data. A major constraint on brain-implanted electronic devices is the requirement that they consume and dissipate very little power, so as not to damage surrounding brain tissue. The systems described here address that constraint, computing in the style of biological neural networks, and using arithmetic-free, purely logical primitives to establish universal computing architectures for neural decoding. The second part of this thesis describes the development of an implantable fuel cell powered by extracellular glucose at concentrations such as those found in the cerebrospinal fluid surrounding the brain. The theoretical foundations, details of design and fabrication, mechanical and electrochemical characterization, as well as in vitro performance data for the fuel cell are presented.
by Benjamin Isaac Rapoport.
Ph.D.
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Pennant, Mary Elizabeth. "Measuring glucose metabolism." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611215.

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Pawar, H. S. "Microbial glucose isomerase." Thesis(Ph.D.), CSIR-National Chemical Laboratory, Pune, 1988. http://dspace.ncl.res.in:8080/xmlui/handle/20.500.12252/3305.

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Chen, Xuesong. "Impact of Continuous Glucose Monitoring System on Model Based Glucose Control." Thesis, University of Canterbury. Electrical and Computer Engineering, 2007. http://hdl.handle.net/10092/1228.

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Critically ill patients are known to experience stress-induced hyperglycemia. Inhibiting the physiological response to increased glycaemic levels in these patients are factors such as increased insulin resistance, increased dextrose input, absolute or relative insulin deficiency, and drug therapy. Although hyperglycemia can be a marker for severity of illness, it can also worsen outcomes, leading to an increased risk of further complications. Recent studies have shown that tight control can reduce mortality up to 43%. Metabolic modelling has been used to study physiological behaviour and/or to control glycaemia for a long time and many successful approximate system models have been developed. Due to the malfunction of medical equipments, clinical measurements obtained usually come with noise. In addition, the few such systems currently available can have errors in excess of 20-30%. Therefore, to fully simulate the clinical data, the system model also needs to couple with a successful noise model. This research has developed a new noise model that better fits the current available statistical description of the noise profile and therefore can be applied to achieve better simulation results. The research also designed a filter algorithm that is capable of reducing the sensor measurement error down to an acceptable value. Achieving such a goal is a significant step towards fully automated adaptive control of hyperglycaemia in critically ill patients and would therefore reduce mortality.
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D'Costa, E. J. "The application of quinoprotein glucose dehydrogenase in a biosensor for glucose." Thesis, Cranfield University, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373985.

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Ng, Natasha Hui Jin. "The role of glucose-6-phosphatase catalytic domain in glucose homeostasis." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:1e5fc469-d474-45e8-9a6b-6b56d1cd3b77.

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Over the past decade, there has been unprecedented increase in the number of genetic loci associating with type 2 diabetes (T2D) risk and related glycemic traits, thanks to advances in sequencing technologies and access to large sample sizes. Identification of associated genetic variants across the frequency spectrum can provide valuable insight into disease pathophysiology. However, the translation into biological insights has been slow often due to uncertainties over the underlying effector transcripts. G6PC2/ABCB11 is one locus characterised by common non-coding variants that are strongly associated with fasting plasma glucose (FG) levels in healthy adults. The work presented in this thesis aims to understand how protein-coding variants in glycemic trait loci such as G6PC2 contribute to the variability of glycemic traits and in addition gain further insight into the physiological role of G6PC2. To evaluate the role of coding variants in glycemic trait variation, an exome array genotyping study of non-diabetic European individuals (n=33,407) reported multiple coding variants in G6PC2 that were independently associated with FG. I designed and conducted in vitro assays to functionally assess these variants and showed that they result in loss of function (LOF) due to reduced protein stability. This established G6PC2 as the effector transcript influencing FG and highlighted a critical role for G6PC2 (encoding the islet-specific glucose-6-phosphatase catalytic subunit) in glucose homeostasis. To investigate the role of low frequency (MAF=1-5%) and rare (MAF<1%) coding variants in influencing glycemic traits, recent large-scale exome array meta-analyses and whole exome sequencing were carried out as part of MAGIC (n=144,060) and the T2D-GENES/GoT2D consortia (n=12,940) respectively. G6PC1, a gene homolog of G6PC2 that primarily acts through the liver, was uncovered as a novel glycemic locus. My functional follow-up studies demonstrated that rare coding variants in G6PC1 exhibited LOF to influence both FG and FI levels. As rare variation in G6PC2 not previously identified could also affect G6PC2 function and modulate glycemic traits, I also functionally characterised a suite of rare non-synonymous G6PC2 variants. Most of the variants tested exhibited markedly reduced protein levels and/or loss of glycosylation. Several variants were also found to impact on enzymatic activity through inactivating or activating mechanisms to influence FG levels. Finally, to gain better understanding of the function of G6PC2 I performed gene knockdown studies in the EndoC-βH1 human beta cell model followed by insulin secretion analyses. G6PC2 knockdown resulted in increased insulin secretion at sub-threshold glucose stimulation levels, consistent with studies in knockout mouse models. In addition, expression of LOF G6PC2 variants were found to upregulate ER stress responses. These results warrant further studies of the precise roles that G6PC2, an ER-resident protein, plays in regulating insulin secretory function and ER homeostasis in the beta cell. Overall, my work described multiple rare coding variants in both G6PC1 and G6PC2 that alter protein function to regulate glucose metabolism through diverse mechanisms in different tissues. Improved understanding of these effector transcripts will open up opportunities for the exploration of new therapeutic targets for glucose regulation and T2D.
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Jackson-Cenales, Oteka. "Best Practices for Glucose Management Using a Computer-Based Glucose Management." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4523.

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The prevalence of diabetes mellitus (DM) continues to be a global concern among health care practitioners. Without collaboration and interventions, this chronic disease, which poses a significant financial burden for health care institutions, will continue to be problematic. Promoting the use of glycemic control measures among diabetic patients is an intervention, which has the potential to reduce diabetic complications and improve outcomes. The purpose of this doctoral project was to explore available evidence through a systematic review of the best practices for glucose management. The chronic care model served as the theoretical framework. The evidence based practice question was, What is the current evidence supporting the utilization of a computer-based glucose management system (CBGMS) for inpatient diabetic adults in acute and critical care settings? A systematic review was conducted, yielding 532 studies in which 3 of the studies related to CBGMSs published from 2008 to 2017 were critically appraised. The John Hopkins Nursing Evidence Appraisal Tool with specific inclusion and exclusion criteria was utilized. Participants were adult patients (aged 18 and over) with DM in inpatient care settings who were English speaking. Interventions included the traditional paper-based sliding scale regimen versus the utilization of a CBGMS. Outcome measures included decreased length of stay, reduced cost, and glucose optimization. A conclusion was the implementation of a CBGMS has the potential to improve patient outcomes with additional research that exhibits overall benefits and implement into practice. Thus, implementation of a CBGMS can lead to positive social change by aiding in a change in practice that will ultimately ameliorate patient health outcomes.
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Books on the topic "Glucose"

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Geddes, Chris D., and Joseph R. Lakowicz, eds. Glucose Sensing. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/0-387-33015-1.

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Lindkvist-Petersson, Karin, and Jesper S. Hansen, eds. Glucose Transport. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7507-5.

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Jia, Weiping, ed. Continuous Glucose Monitoring. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7074-7.

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W, Gould Gwyn, ed. Facilitative glucose transporters. Austin: R.G. Landes, 1997.

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United States. Food and Drug Administration. Office of Women's Health. Your glucose meter. Silver Spring, Md.]: FDA, Office of Women's Health, 2010.

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Pawełczak, Mieczysława Irena. Badania nad technologią produkcji glukonianów z hydrolizatów skrobiowych. Poznań: Wydawn. Nauk. Uniwersytetu im. Adama Mickiewica w Poznaniu, 1986.

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D, Cunningham David, and Stenken Julie A, eds. In vivo glucose sensing. Hoboken, N.J: Wiley, 2009.

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Lilder, Rosemary. Glucose. Independently Published, 2018.

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Publishing, Rogue Plus. Glucose Monitoring Log: Blood Glucose Record, Diabetic Glucose Log Book, Daily Glucose Log, Glucose Tracker, Hydrangea Flower Cover. Createspace Independent Publishing Platform, 2018.

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Nelson, Michael k. Insurrection of Glucose: Definition of Glucose, Signs of Excessive Glucose Intake, Glucose Level ,Factors Influencing Blood Glucose Level. Independently Published, 2022.

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Book chapters on the topic "Glucose"

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Coons, Michael James. "Glucose." In Encyclopedia of Behavioral Medicine, 959–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1604.

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Galik, Elizabeth, Shin Fukudo, Yukari Tanaka, Yori Gidron, Tavis S. Campbell, Jillian A. Johnson, Kristin A. Zernicke, et al. "Glucose." In Encyclopedia of Behavioral Medicine, 869–70. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1604.

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Wagner, Peter, Frank C. Mooren, Hidde J. Haisma, Stephen H. Day, Alun G. Williams, Julius Bogomolovas, Henk Granzier, et al. "Glucose." In Encyclopedia of Exercise Medicine in Health and Disease, 367. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-29807-6_2442.

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Katz, Margaret E., and Joan M. Kelly. "Glucose." In Cellular and Molecular Biology of Filamentous Fungi, 289–311. Washington, DC, USA: ASM Press, 2014. http://dx.doi.org/10.1128/9781555816636.ch21.

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van Balen, J. A. M., A. A. Demeulemeester, M. Frölich, K. Mohrmann, L. M. Harms, W. C. H. van Helden, L. J. Mostert, and J. H. M. Souverijn. "Glucose." In Memoboek, 110–12. Houten: Bohn Stafleu van Loghum, 2012. http://dx.doi.org/10.1007/978-90-313-9129-5_58.

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Loose, Natara. "Glucose." In Monitoring and Intervention for the Critically Ill Small Animal, 55–71. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781118923870.ch5.

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Bährle-Rapp, Marina. "Glucose." In Springer Lexikon Kosmetik und Körperpflege, 225. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_4289.

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D’Auria, Sabato, Giovanni Ghirlanda, Antonietta Parracino, Marcella de Champdoré, Viviana Scognamiglio, Maria Staiano, and Mosè Rossi. "Fluorescence Biosensors for Continuously Monitoring the Blood Glucose Level of Diabetic Patients." In Glucose Sensing, 117–30. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/0-387-33015-1_5.

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Wang, Y. F., and W. Jia. "Determination of Glucose and Continuous Glucose Monitoring." In Continuous Glucose Monitoring, 1–12. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7074-7_1.

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Wong, Dominic W. S. "Glucose Oxidase." In Food Enzymes, 308–20. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-2349-6_10.

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Conference papers on the topic "Glucose"

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Devi, Henam Sylvia, Nidhi Dua, Akshita Mishra, Md Samim Reza, Parvez Akhtar, and Madhusudan Singh. "Interaction of Glucose with CuO: Glucose sensing platform." In 2020 5th IEEE International Conference on Emerging Electronics (ICEE). IEEE, 2020. http://dx.doi.org/10.1109/icee50728.2020.9776753.

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Parker, J. W., and M. E. Cox. "Glucose /Oxygen Sensor." In Cambridge Symposium-Fiber/LASE '86, edited by Abraham Katzir. SPIE, 1987. http://dx.doi.org/10.1117/12.937381.

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Ponce-Lee, E. L., A. Olivares-Perez, I. Fuentes-Tapia, and Jose Luis Juarez-Perez. "Glucose-fructose holograms." In Electronic Imaging 2004, edited by Tung H. Jeong and Hans I. Bjelkhagen. SPIE, 2004. http://dx.doi.org/10.1117/12.526270.

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Liu, Tao, Zhong Ren, Guodong Liu, and Chuncheng Zhang. "Photoacoustic detection of glucose for the milk-glucose mixed solution." In International Conference on Optoelectronic and Microelectronic Technology and Application, edited by Jennifer Liu. SPIE, 2020. http://dx.doi.org/10.1117/12.2584202.

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Kaiho, Minori, Jun Sawayama, Yuya Morimoto, and Shoji Takeuchi. "Parylene based flexible glucose sensor using glucose-responsive fluorescent hydrogel." In 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems (MEMS). IEEE, 2017. http://dx.doi.org/10.1109/memsys.2017.7863461.

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Schechner, Pinchas, Eugenia Bubis, and Lea Mor. "Glucose Fueled Alkaline Fuel Cell." In ASME 2005 3rd International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2005. http://dx.doi.org/10.1115/fuelcell2005-74029.

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The electrical behavior of a room temperature membraneless Alkaline Fuel Cell, with incorporated platinum particles in the anode and fueled with glucose, is reported. The Open Circuit Voltage, at different initial glucose concentrations was measured. Changes on the glucose concentration with time were monitored with the dinitrosalicylic acid method. Qualitative Thin Layer Chromatography demonstrates that the electrodes induce polymerization of the glucose. The electrical yield of the system was measured with different external resistors. The Open Circuit Voltage reaches a saturation value of 0.78±0.03 V at [glu]0 > 0.67 M. During four hours in Open Circuit conditions, there is a 20% drop in the concentration of reducing sugar in the fuel cell. Thin Layer Chromatography experiments show that the electrodes catalyze non-electrochemical glucose polymerization reactions. Assuming that the glucose is oxidized to gluconic acid, the electrical yield of the system is around 5%.
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Garrett, Jared R., Xinxin Wu, and Kaiming Ye. "Development of a pH-Insensitive Glucose Indicator for Continuous Glucose Monitoring." In 2007 IEEE Region 5 Technical Conference. IEEE, 2007. http://dx.doi.org/10.1109/tpsd.2007.4380375.

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Mohebbi, Ali, Alexander R. Johansen, Nicklas Hansen, Peter E. Christensen, Jens M. Tarp, Morten L. Jensen, Henrik Bengtsson, and Morten Morup. "Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data." In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society. IEEE, 2020. http://dx.doi.org/10.1109/embc44109.2020.9176695.

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Facchinetti, A., G. Sparacino, F. Zanderigo, and C. Cobelli. "Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.259966.

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De Falco, Ivanoe, Umberto Scafuri, Ernesto Tarantino, and Antonio Della Cioppa. "Accurate estimate of Blood Glucose through Interstitial Glucose by Genetic Programming." In 2017 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2017. http://dx.doi.org/10.1109/iscc.2017.8024543.

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Reports on the topic "Glucose"

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Weeding, Jennifer, and Mark Greenwood. Equine Glucose Data [dataset]. Montana State University ScholarWorks, 2016. http://dx.doi.org/10.15788/m2qp4r.

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Esmail, Jihan, and Ramasubbareddy Dhanireddy. Time to First Blood Glucose Determination and Administration of Intravenous Glucose at Birth in Extremely Low Birth Weight Infants. University of Tennessee Health Science Center, 2022. http://dx.doi.org/10.21007/com.lsp.2022.0010.

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Landfear, Scott M., Diana Ortiz, Johanna Hayenga, and Yuko Sato. Screening for Inhibitors of Essential Leishmania Glucose Transporters. Fort Belvoir, VA: Defense Technical Information Center, July 2010. http://dx.doi.org/10.21236/ada536838.

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Landfear, Scott M. Screening for Inhibitors of Essential Leishmania Glucose Transporters. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada566635.

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Landfear, Scott M. Screening for Inhibitors of Essential Leishmania Glucose Transporters. Fort Belvoir, VA: Defense Technical Information Center, July 2013. http://dx.doi.org/10.21236/ada583681.

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Landfear, Scott M. Screening For Inhibitors Of Essential Leishmania Glucose Transporters. Fort Belvoir, VA: Defense Technical Information Center, July 2011. http://dx.doi.org/10.21236/ada551900.

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Cao, Yang, Pengxiao Li, Qiang Hu, Yi Li, and Yaling Han. Sodium-Glucose Cotransporter-2 Inhibitors in Heart Failure. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0080.

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Lal, Shankar, and Ehtesham Khan. Perioperative Management of Diabetic Patients: Optimising Care with Insulin Pumps and CGM Devices. World Federation of Societies of Anaesthesiologists, June 2024. http://dx.doi.org/10.28923/atotw.524.

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This tutorial examines the perioperative management of diabetic patients using insulin pumps and CGM devices. It focuses on optimizing care through patient-centred strategies, preoperative evaluation, and education on glucose management to prevent complications and ensure stable blood glucose levels.
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Norman, Kirsten. Interim report:feasibility of microscale glucose reforming for renewable hydrogen. Office of Scientific and Technical Information (OSTI), March 2007. http://dx.doi.org/10.2172/902223.

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Imbert-Fernandez, Yoannis. Regulation of Glucose Utilization by Estradiol in Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada613311.

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