Academic literature on the topic 'Non insulin'

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Journal articles on the topic "Non insulin"

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Pandya, Maitrey, and Miral Damani. "NEUROPHYSIOLOGICAL CHANGES IN PERSON WITH INSULIN DEPENDENT AND NON INSULIN DEPENDENT DIABETES MELLITUS." International Journal of Physiotherapy and Research 7, no. 2 (March 11, 2019): 3011–15. http://dx.doi.org/10.16965/ijpr.2019.102.

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Taylor, R. "Insulin for the non-insulin dependent?" BMJ 296, no. 6628 (April 9, 1988): 1015–16. http://dx.doi.org/10.1136/bmj.296.6628.1015.

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MacPherson, J. N. "Insulin for the non-insulin dependent?" BMJ 296, no. 6633 (May 14, 1988): 1401. http://dx.doi.org/10.1136/bmj.296.6633.1401.

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Holman, R. R. "Insulin for the non-insulin dependent?" BMJ 296, no. 6634 (May 21, 1988): 1469–70. http://dx.doi.org/10.1136/bmj.296.6634.1469-c.

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Cradock, Sue. "Non-insulin dependent." Primary Health Care 3, no. 5 (May 1993): 16–19. http://dx.doi.org/10.7748/phc.3.5.16.s12.

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Scott, R. S., D. R. Mason, F. J. M. Iris, and J. R. Bremer. "Insulin deficiency in non-insulin-dependent diabetics." Diabetes Research and Clinical Practice 2, no. 6 (January 1986): 359–64. http://dx.doi.org/10.1016/s0168-8227(86)80073-0.

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Temple, RosemaryC, StephenD Luzio, AnneroseE Schneider, ChristineA Carrington, DavidR Owens, WendyJ Sobey, and C. Nicholas Hales. "INSULIN DEFICIENCY IN NON-INSULIN-DEPENDENT DIABETES." Lancet 333, no. 8633 (February 1989): 293–95. http://dx.doi.org/10.1016/s0140-6736(89)91306-8.

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de Neeling, J. N. "Insulin resistance and non-insulin-dependent diabetes." JAMA: The Journal of the American Medical Association 274, no. 18 (November 8, 1995): 1426b—1426. http://dx.doi.org/10.1001/jama.274.18.1426b.

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de Neeling, J. Nico D. "Insulin Resistance and Non—insulin-dependent Diabetes." JAMA: The Journal of the American Medical Association 274, no. 18 (November 8, 1995): 1426. http://dx.doi.org/10.1001/jama.1995.03530180020016.

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Garrow, J. S. "Points: Insulin for the non-insulin dependent?" BMJ 296, no. 6635 (May 28, 1988): 1540. http://dx.doi.org/10.1136/bmj.296.6635.1540-f.

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Dissertations / Theses on the topic "Non insulin"

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Gormley, M. J. J. "Aspects of insulin treatment of non-insulin-dependent diabetes." Thesis, Queen's University Belfast, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373006.

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Baynes, Christospher. "Insulin action and dyslipidaemia in non-insulin-dependent diabetes." Thesis, University of Southampton, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316405.

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Wortell, Linda Harbaugh. "Health beliefs of insulin dependent diabetics and non-insulin dependent diabetics." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276650.

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The descriptive study which explored the insulin dependent diabetics' and non-insulin dependent diabetics' perceptions of susceptibility to diabetic complications, severity of diabetes, and benefits of and barriers to preventive measures. The Wortell Diabetic Perception Scale was developed by the researcher for this study, and administered to a convenience sample of 71 subjects. The Subjects' age ranged from 22 to 80 years. There were 33 females and 38 males in the sample. Forty three percent of the diabetics were classified as insulin dependent diabetics and 57% as non-insulin dependent diabetics. Findings indicated that insulin dependent diabetics perceived diabetes to be significantly more severe than did non-insulin dependent diabetics. No significant difference was found to exist between the insulin dependent diabetics and non-insulin dependent diabetics with regards to perceived susceptibility to diabetic complications, and benefits of and barriers to preventive measures.
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Al-Hussary, Nabeel A. J. "Insulin receptor binding in hypertension and non-insulin dependent diabetes mellitus." Thesis, Aston University, 1986. http://publications.aston.ac.uk/14510/.

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Whitelaw, Donald C. "Aspects of insulin secretion and action in non-insulin-dependent diabetes mellitus." Thesis, University of Edinburgh, 1999. http://hdl.handle.net/1842/22738.

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In a cross-sectional survey of coronary risk factors in subjects with recently diagnosed NIDDM I confirm the high prevalence of individual risk factors described by others, and show a broadly normal distribution pattern for the clustering of risk factors forming Reaven's Syndrome X, in contrast to that reported in other populations. I suggest that hyperinsulinaemia and hypertriglyceridaemia are the best markers of high coronary risk and note the association of obesity and other risk factors. In a study to examine the effects of the new oral hypoglycaemic drug A4166 in NIDDM I confirm its major effect as an insulin secretagogue but find limited effects on intermediary metabolism when assessed during and intravenous glucose tolerance test. Any enhancement of glucose clearance appears to be secondary to the increase in insulin secretion. If hypertriglyceridaemia exacerbates insulin resistance in NIDDM, then its treatment may reverse this process. In a randomised study comparing the fibrate drug gemfibrozil with placebo I show that reduction in serum triglyceride concentrations with gemfibrozil is associated with improved insulin sensitivity to non-esterified fatty acid (NEFA) and ketone metabolism but not to glucose metabolism, when assessed using a low-dose incremental insulin infusion technique. In established diabetes (NIDDM) the contribution of body fat to insulin resistance is less clear than among non-diabetic subjects. In a group of NIDDM subjects I show no consistent effects of body fat on insulin resistance using the low-dose incremental insulin infusion, and no relation between body fat indices and euglycaemic clamp measures of insulin sensitivity. From the insulin infusion data I show that fasting glucose concentration has the greatest impact on insulin resistance, suggesting that hyperglycaemia or perhaps glucose toxicity has an effect overwhelming that of other factors. Using the data from the body fat studies described, I compare measures of insulin resistance derived from insulin infusions, euglycamic clamps and homeostatic modelling (HOMA-R) in NIDDM, and discuss uses and limitations of these techniques. In a concluding chapter I attempt to summarise the findings from these studies and draw together a discussion of the results obtained in the context of the existing published literature.
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Petrie, John Ross. "Serum insulin concentrations, insulin sensitivity, and endothelial function in essential hypertension and non-insulin-dependent diabetes mellitus." Thesis, University of Glasgow, 1997. http://theses.gla.ac.uk/2846/.

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A series of studies is described in which specific and conventional insulin immunoassays, the hyperinsulinaemic clamp technique and forearm venous occlusion plethysmography with local intra-arterial infusions have been used to investigate: the effect of insulin assay specificity on the relationships among serum insulin concentrations, insulin sensitivity, and blood pressure in diabetic and non-diabetic subjects with and without essential hypertension (Chapter 5) the effect of sustained physiological activation of the renin-angiotensin system induced by moderate dietary sodium restriction on insulin sensitivity in patients with non-insulin-dependent diabetes mellitus (Chapter 6) the relationship between endothelial function and insulin sensitivity in healthy subjects (Chapter 7) Prior to these investigations, preliminary studies (Chapters 3 and 4) were performed in order to validate aspects of the clinical physiological techniques required for the measurement of blood flow and insulin sensitivity. The reproducibility of bilateral forearm venous occlusion plethysmography Studies using this technique to measure changes in forearm blood flow (FBF) during intra-arterial infusions of vasoactive substances often report changes in blood flow ratio (expressing responses in the intervention arm as a ratio of responses in the control arm) rather than absolute values for flow. However, unilateral measurements are reported by other investigators, and the possibility was considered that the method used for expressing responses might influence the conclusions reached. A reproducibility study was performed (Chapter 3) which demonstrated that the between-day intra-subject variability of bilateral forearm venous occlusion plethysmography (FBF ratios) was less than that of unilateral FBF measurements. The bilateral technique was used thereafter where possible.
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Frangioudakis, Georgia St Vincent's Clinical School UNSW. "Insulin signal transduction in vivo in states of lipid-induced insulin resistance." Awarded by:University of New South Wales. St Vincent's Clinical School, 2004. http://handle.unsw.edu.au/1959.4/27419.

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Insulin resistance is the major metabolic defect in obesity and Type 2 diabetes. Increased lipid accumulation is strongly associated with insulin resistance. A significant component of insulin resistance is thought to be a reduced ability of insulin to activate the cascade of phosphorylation events that lead to the metabolic effects of this hormone. The broad aims of this thesis were to examine the effect of high-fat diets containing different fat subtypes on in vivo insulin signalling, under conditions normally used to detect whole body insulin resistance, and to compare the effects of acute and chronic lipid oversupply on insulin signalling in vivo. Time-course and dose-response effects of insulin stimulation on site-specific phosphorylation of key signalling proteins were studied in rat tissues in vivo, to establish an appropriate experimental system to examine the onset of activation of the insulin signalling pathway. It was determined that short insulin infusions with concurrent glucose infusion, similar to the beginning of a euglycaemic-hyperinsulinaemic clamp, significantly increased the phosphorylation of major intermediates of the insulin signalling pathway in important tissues of insulin action (skeletal muscle [RQ], liver [LIV] and white adipose tissue [EPI]). These experiments provided a platform to study insulin signalling under the same conditions used to study lipid-induced insulin resistance. The provision of diets enriched in polyunsaturated or saturated fatty acids (FA) resulted in the corresponding enrichment of these fat subtypes in rat plasma and tissues. However, the effects on insulin signalling were essentially the same. Both fat diets induced defects in sitespecific phosphorylation of insulin receptor substrate (IRS)-1 and protein kinase B (PKB) in RQ and LIV, but not EPI. This suggests that the amount of fat in the diet, rather than enrichment in a particular fat subtype, had a greater impact on the development of signalling defects and that the response to high-fat feeding was tissue-specific. A 3hr elevation of circulating FA (using a lipid/heparin infusion), to a level that is relevant in clinical Type 2 diabetes, impaired insulin-stimulated PKB phosphorylation with no significant effect on IRS-1 phosphorylation. This suggests that there may be differences in the way acute and chronic exposure to increased FA impair insulin signalling. The phosphorylation defects observed in both chronic and acute studies did not seem to be associated with activation of major stress signalling pathways (JNK and NFkB), which have been suggested to have a role in lipidinduced insulin resistance. In conclusion, these studies demonstrate that impaired IRS-1 and PKB phosphorylation do have a role in the reduced insulin action observed with lipid oversupply in vivo, because the changes were detected under similar conditions as those used to determine whole body insulin resistance.
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Gelding, Susan Valerie. "Metabolic abnormalities preceding non-insulin dependent diabetes." Thesis, University College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283202.

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Song, Xiao Mei. "Insulin signal transduction in skeletal muscle : special consideration for insulin resistance and diabetes /." Stockholm, 2000. http://diss.kib.ki.se/2000/91-628-4502-0/.

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James, Declan Jonathan. "An analysis of insulin- and non-insulin- stimulated glucose transport in rat skeletal muscle." Thesis, University of Glasgow, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394962.

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Books on the topic "Non insulin"

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Farid, Mamdouh Salah. Periodontal disease in non-insulin and insulin dependent diabetes mellitus. Manchester: University of Manchester, 1997.

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Al-Hussary, Nabeel Ahmad Jargees. Insulin receptor binding in hypertension and non-insulin dependent diabetes mellitus. Birmingham: Aston University. Department of Molecular Sciences, 1986.

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Day, John L. The diabetes handbook: Non-insulin dependent diabetes. Wellingborough: Thornsons in collaboration with the British Diabetic Association, 1986.

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Jovanovic-Peterson, Lois. A touch of diabetes: A guide for people who have type II, noninsulin-dependent diabetes. Minneapolis, MN: DCI Pub., 1991.

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Jovanovic-Peterson, Lois. A touch of diabetes. Minneapolis, MN: Chronimed Pub., 1995.

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Alberti, K. G. M. M. and Mazze R. S, eds. Frontiers of diabetes research: Current trends in non-insulin-dependent diabetes mellitus : proceedings of the Symposium on NIDDM : Research and Clinical Frontiers in Diabetes, New York, 4-7 May 1989. Amsterdam: Excerpta Medica, 1989.

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M, Peterson C., and Stone Morton B, eds. A touch of diabetes: A straightforward guide for people who have type 2 diabetes. 3rd ed. New York: John Wiley & Sons, Inc., 1999.

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McCarren, Marie. American Diabetes Association guide to insulin and type 2 diabetes. Alexandria, Va: American Diabetes Association, 2007.

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Webb, Michele. Treatment options for type 2 diabetes. Leawood, Kan: American Academy, 2000.

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Clinician's guide to non-insulin-dependent diabetes mellitus: Pathogenesis and treatment. New York: M. Dekker, 1989.

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Book chapters on the topic "Non insulin"

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Codario, Ronald A. "Non-Insulin Injectables." In Type 2 Diabetes, Pre-Diabetes, and the Metabolic Syndrome, 153–68. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60327-441-8_8.

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Holst, Jens Juul, Sten Madsbad, and Ole Schmitz. "Non-Insulin Parenteral Therapies." In Textbook of Diabetes, 478–93. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444324808.ch30.

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Vilsbøll, Tina, Mikkel Christensen, Tina Jorsal, and Filip K. Knop. "Non-Insulin Parenteral Therapies." In Textbook of Diabetes, 455–70. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118924853.ch32.

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Stilwell, Barbara. "Non-Insulin-Dependent Diabetes." In Skills Update, 8–9. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-12990-4_4.

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Johansen, Klaus, and Sam Dagogo-Jack. "Non-Insulin-Dependent Diabetes Mellitus." In Diabetes Guide, 79–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76868-2_8.

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Sreemantula, Gayatri, and Santosh Shankarnarayan. "Non-Insulin Agents for Diabetes." In Managing Diabetes, 61–89. Tarporley: Springer Healthcare Ltd., 2012. http://dx.doi.org/10.1007/978-1-908517-81-4_4.

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Tiro, Jasmin, Simon J. Craddock Lee, Steven E. Lipshultz, Tracie L. Miller, James D. Wilkinson, Miriam A. Mestre, Barbara Resnick, et al. "Non-insulin-Dependent Diabetes Mellitus." In Encyclopedia of Behavioral Medicine, 1342. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_101158.

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Köbberling, J. "Non-Pharmacological Management of Non-Insulin-Dependent Diabetes." In Oral Antidiabetics, 43–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-09127-2_3.

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Gastaldelli, A. "NAFLD and Insulin Resistance: A Multisystemic Disease." In Non-Alcoholic Fatty Liver Disease, 49–71. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-95828-6_4.

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Olefsky, Jerrold M., Robert R. Revers, Mel Prince, Robert R. Henry, William T. Garvey, John A. Scarlett, and Orville G. Kolterman. "Insulin Resistance in Non-Insulin Dependent (Type II) and Insulin Dependent (Type I) Diabetes Mellitus." In Advances in Experimental Medicine and Biology, 175–205. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4757-1850-8_11.

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Conference papers on the topic "Non insulin"

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Stahl, Fredrik, Rolf Johansson, and Mona Landin Olsson. "Predicting Nocturnal Hypoglycemia Using a Non-parametric Insulin Action Model." In 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2015. http://dx.doi.org/10.1109/smc.2015.280.

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Kiriakidis, Kiriakos. "Particle Filter for Plasma Insulin Estimation." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4179.

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Bergman’s Minimal Model (MM) captures simply but accurately the homeostasis of glucose and insulin in plasma. The MM has been proposed as an estimator of insulin for Diabetes Mellitus. Along this line of research, the present work takes into account the error between Bergman’s simple compartmental model and the complex physiologic system it depicts. The author employs a Particle Filter (PF) in order to construct the posterior probability density of insulin from data. As a sequential Bayesian estimator, the PF can handle nonlinear state equations, such as the MM, as well as non-Gaussian modeling error. These advantages of the PF over the Kalman Filter warrant further consideration for insulin estimation and, in turn, avoidance of hyperinsulinemia.
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Pfliegler, G., J. Arnout, J. Kienast, K. Wittevrongel, and J. Vermylen. "INSULIN RECEPTORS ARE NOT COUPLED TO THE PHOSPHOINOSITIDE OR ADENYLCYCLASE MESSENGER SYSTEMS IN HUMAN PLATELETS." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1644523.

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Insulin receptors have been found not only on its “target Cells” but also on several other cell-types, including human platelets. From studies on adipocytes and liver cells it seems that they are coupled both to the adenylate cyclase-cyclic AMP and the polyphosphoinositide messenger systems. Circulating blood cells might faithfully reflect the insulin receptor state of target organ tissues. Impaired platelet function has an important role in the pathogenesis of vascular and thrombotic complications in diabetes mellitus, and insulin seems to act directly on platelets. A reduction in the number and binding capacity of platelet insulin receptors in diabetic patients (Udvardy et al. 1986) suggested a (patho)physiological role for these receptors. In our studies, insulin (1 × 10-9 - 1 × 10-6 M) did not affect basal platelet cyclic AMP levels, as measured following incorporation of [3H] adenine. Insulin did not prevent PGI2 (25-75 nmol/L) induced cyclic AMP formation in platelets. Insulin did not modify the basal levels of inositol phosphate (IP), IP2 or IP3 in platelets, as measured following incorporation of [3H] inositol. Insulin did not affect formation of IP, IP2 or IP3 by thrombin. No changes in cytosolic free Ca2+ (Quin 2 method) were detected in the presence of insulin. Sodium nitroprusside on the other hand, which is known to mimic several effects of insulin on adipocytes, inhibited IP formation induced by threshold concentrations of thrombin.On the basis of our results the insulin receptors in human platelets seem to be “non-functional” insofar as their occupancy is not accompanied by the stimulation or inhibition of phospho-inositide breakdown or cyclic AMP formation. Similarly, “silent” muscarinic-cholinergic receptors have recently been reported in human erythrocytes (Sehar et al. 1986).
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Juhan-Vague, I., P. Vague, M. C. Alessi, C. Atlan, J. Valadier, and C. Badier. "PARALLEL VARIATIONS OF PLASMA INSULIN, TRIGLYCERIDE AND PLASMINOGEN ACTIVATOR INHIBITOR 1 (PAI 1) LEVELS IN OBESE NON DIABETIC SUBJECTS." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1644456.

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We had shown in non diabetic healthy subjects with Body Mass Index (BMI) varying largely, a significant correlation (r) between PAI activity levels and BMI : (r=0.66) and insulinemia (r=0.52).PAI levels were then studied in non diabetic Obese women (0)(n=50) and in age matched healthy women with normal BMI (N) (m ± SEM) = 0 versus N : BMI : 33.4± 0.8/ 20.2± 0.8 ; plasma insulin (Ins -uu/ml) : 22.7±1.5/12±1; Triglyceride(TG-mmol/1):1.240.09/0.8±0.1.The low value of euglobulin fibrinolytic activity (EFA) in Obese was due to high levels of PAI 1 : 0 versus N : EFA (mm) : 5.2 ±0.3/ 9 ±0.3 ; PAI activity (PAIact.- Verheijen's method-u/ml) :14 ± 2.1/5.04 ±0.6 -(p 0.01). In 10 0 and 10 N PAIact and PAI 1 antigen (PAI 1 Ag- Kruithof's method-ng/ml) were determined in parallel : 0 versus N : PAIact.: 29.4±3.8/ 5.8±0.9 ; PAI 1 Ag : 100±14.2/19.7 ±1.7, (p0.01). In Obesegroup correlations between, PAIact. and BMI (r=0.51), and insulin (r=0.69) and Triglyceride (r=0.48) were significant (p 0.01).When in Obese subjects, insulinemia was decreased by 24 hours Fast (n=10) or by 15 days Metformin treatment (1.7g/day) (n=9), PAI activity (measured on fibrin plates)decreased significantly in a parallel way : compared to initial values -after 24 hours Fast =Ins : 75 %, PAIact. 73% -after Metformin treatment=Ins :75%, PAIact. :57%, TG :73%.From these results, a direct action of insulin on the synthesis cells of PAI 1 could be evoked. An effect of Triglyceride levels cannot be excluded, the variation of Triglyceride, insulin, PAI levels being parallel.As hyperinsulinemia, hypertriglyceridemia are risk factors for atherothrombosis, as there is a link between insulin, triglyceride, PA Inhibitor 1 levels, the pathogenic role of hyperinsulinemia and hypertriglyceridemia in the development of atherothrombosis could be in part mediated by plasma hypofibrinolysis due to high level of PAI 1.
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Reddy, P. Sampath, and K. Jyostna. "Development of Smart Insulin Device for Non Invasive Blood Glucose Level Monitoring." In 2017 IEEE 7th International Advance Computing Conference (IACC). IEEE, 2017. http://dx.doi.org/10.1109/iacc.2017.0112.

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HU, HAIYAN, and XIAOMAN LI. "NETWORKING PATHWAYS UNVEILS ASSOCIATION BETWEEN OBESITY AND NON-INSULIN DEPENDENT DIABETES MELLITUS." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812776136_0026.

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Min, Hye-Young, Hye Jeong Yun, Hyo-Jong Lee, Jaebeom Cho, Hyun-Ji Jang, Kyung Min Kim, Woo-Young Kim, et al. "Abstract 1716: Targeting the insulin-like growth factor receptor/Insulin receptor and Src signaling network for the treatment of non-small cell lung cancer." In Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA. American Association for Cancer Research, 2014. http://dx.doi.org/10.1158/1538-7445.am2014-1716.

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Abduhijleh, Haya, Joud Alalwani, Dana Alkhatib, and Hiba Bawadi. "Muscle Strength and Glycaemic Control among Patients with Type 2 Diabetes." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0209.

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Background: The prevalence of diabetes has been rising sharply since 1980, reaching 422 million cases worldwide in 2014. Physical activity and handgrip strength may be associated with good glycaemic control among patients with diabetes Objective: We tested the association between handgrip strength and glycemic control in type 2 diabetes patients, from National Health and Nutritional Examination Survey NHANES 2011-2014 and the contribution of the study covariates to this association. Hypothesis: Muscle strength is positively associated with glycemic control in type two diabetes. Methodology: This cross-sectional study examined the association between handgrip strength and glycaemic control among patients with diabetes. Data on 1058 participants aged 40 and older were collected from the NHANES. Muscle strength was assessed using a handgrip dynamometer, and blood samples were obtained to observe the glycaemic control values. Height, body weight, physical activity, insulin use, smoking status, alcohol use, participant demographics, and income-to-poverty ratio were all considered in the study. Results: logistic regression analysis was used to assess the association between handgrip strength and poor glycaemic control among participants with diabetes. Three models were used, each model adjusted to include different variables. OR values revealed no association between handgrip strength and glycaemic control. However, model 2, which was adjusted for sedentary activity, income-topoverty ratio, education, and smoking, shows a trend towards an association. Patients in quartile 4 of handgrip had 0.59 odds of poor glycaemic control, OR = 0.59 (95% CI: 0.34–1.02). However, in model 3 this effect was diluted when further adjusted for insulin use, OR = 0.81 (95% CI: 0.47– 1.38). Further analysis was performed to examine the mean decline in handgrip strength among non-insulin and insulin users. Non-insulin users, both men and women, have higher handgrip strength as compared to insulin users. Conclusion: There was no association found between handgrip and glycaemic control among patients with diabetes.
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Zedelmair, Michael M., and Abhijit Mukherjee. "Numerical Simulation of Insulin Depot Formation in Subcutaneous Tissue Comparing Different Cannula Geometries." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67473.

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In this study, the impact of the cannula geometry on the formation of the depot in subcutaneous tissue is investigated when injecting insulin using an insulin pump. The simulations have been conducted using the Computational Fluid Dynamics (CFD) software ANSYS Fluent. The study is focusing on rapid acting insulin analogues typically used in insulin pump therapy, which enter the bloodstream very shortly after administration. A previously developed 2-dimensional simulation has been transferred into a 3-dimensional case in order to simulate cases with non-axisymmetric geometries. The tissue has been modeled as a homogeneous anisotropic porous media by the use of different porosity values in the parallel and perpendicular direction with respect to the skin surface. The process of absorption is implemented into the model by the use of a locally variable species sink term. The basic case, simulated with a solid cannula, has been compared to other cannula geometries in order to evaluate if the delivery of insulin in the tissue can be improved. The geometries under consideration are the addition of circumferential holes in the wall of the cannula as well as using an array of cannulas instead of a single cannula. The depot formation is analyzed simulating a standard bolus injection of 0.05ml of insulin using an injection time of 25 seconds. It is observed that the addition of multiple holes in the wall of the cannula or using an array of cannulas can alter the shape of the depot quite significantly. The impact of the depot shape on the diffusion of insulin in the tissue has been evaluated by measuring the total volume of the depot after injection.
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Caporaso, Neil E., Rena R. Jones, Lisa L. Kahle, and Barry I. Graubard. "Abstract 2231: Insulin and multi-system alterations in non-diabetic American adults: NHANES 1999-2016." In Proceedings: AACR Annual Meeting 2018; April 14-18, 2018; Chicago, IL. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1538-7445.am2018-2231.

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Reports on the topic "Non insulin"

1

Donahue, Katrina, Laura Young, John Buse, Mark Weaver, Maihan Vu, C. Madeline Mitchell, Tamara Blakeney, Kimberlea Grimm, Jennifer Rees, and Franklin Niblock. Effect of Glucose Monitoring on Patient and Provider Outcomes in Non-Insulin Treated Diabetes. Patient-Centered Outcomes Research Institute (PCORI), March 2018. http://dx.doi.org/10.25302/3.2018.ce.12114980.

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Hernández Gamboa, Adriana Elena. Seguridad del Paciente en la Administración de Medicamentos de Alto Riesgo. Ediciones Universidad Cooperativa de Colombia, October 2020. http://dx.doi.org/10.16925/gcnc.14.

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Esta nota de clase presenta al enfermero en formación la importancia y la responsabilidad de su quehacer en el día a día en relación con el cuidado de los pacientes ante una situación de emergencia o un estado de salud complejo, que requiera la administración de medicamentos de alto riesgo tales como inotrópicos, vasopresores, vasodilatadores, antiarrítmicos, insulinas, potasio, etc. Ese compromiso enfermero-paciente implica conocimiento científico basado en la evidencia, capacitación continua y adquisición de habilidades para realizar cálculos matemáticos sencillos, preparación de mezclas, programación de equipos o bombas de infusión y, desde luego, la atención cálida y humana que distingue a nuestra profesión, basada en los principios éticos y valores fundamentales de la sociedad. Los medicamentos anteriormente mencionados, no solo pueden salvar la vida de los enfermos, sino que también pueden poderla en riesgo, si se cometen errores en la preparación de la mezcla, en la programación de la velocidad o dosis de la infusión o debido a la falta de conocimiento del enfermero acerca del tipo y características del medicamento que está manejando.
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Blood Sugar Testing to Manage Type 2 Diabetes in Patients Who Don't Need Insulin. Patient-Centered Outcomes Research Institute (PCORI), December 2020. http://dx.doi.org/10.25302/eu14.2020.12.

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Checking your blood sugar daily may not help you manage your type 2 diabetes. If you have type 2 diabetes, it’s important to keep the amount of glucose, or sugar, in your blood at a healthy level. Many patients check their blood sugar at home each day. Patients place a drop of blood from their fingertip onto a test strip; then they insert the strip into a home glucose meter. This test measures your blood sugar level at that moment. People who use insulin check their blood sugar often so that they know how much insulin to take. But if you don’t use insulin, recent research shows that daily blood sugar testing may not help you manage your type 2 diabetes.
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4

Insulin pumps not much better than multiple injections for intensive control of type 1 diabetes. National Institute for Health Research, July 2017. http://dx.doi.org/10.3310/signal-000440.

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