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Trafficking of nonesterified fatty acids in insulin resistance and relationship to dysglycemia.
Walker, RE, Ford, JL, Boston, RC, Savinova, OV, Harris, WS, Green, MH, Shearer, GC
American journal of physiology. Endocrinology and metabolism. 2020;(3):E392-E404
Abstract
In adipose, insulin functions to suppress intracellular lipolysis and secretion of nonesterified fatty acid (NEFA) into plasma. We applied glucose and NEFA minimal models (MM) following a frequently sampled intravenous glucose tolerance test (FSIVGTT) to assess glucose-specific and NEFA-specific insulin resistance. We used total NEFA and individual fatty acids in the NEFA MM, comparing the model parameters in metabolic syndrome (MetSyn) subjects (n = 52) with optimally healthy controls (OptHC; n = 14). Results are reported as mean difference (95% confidence interval). Using the glucose MM, MetSyn subjects had lower [-73% (-82, -57)] sensitivity to insulin (Si) and higher [138% (44, 293)] acute insulin response to glucose (AIRg). Using the NEFA MM, MetSyn subjects had lower [-24% (-35, -13)] percent suppression, higher [32% (15, 52)] threshold glucose (gs), and a higher [81% (12, 192)] affinity constant altering NEFA secretion (ϕ). Comparing fatty acids, percent suppression was lower in myristic acid (MA) than in all other fatty acids, and the stearic acid (SA) response was so unique that it did not fit the NEFA MM. MA and SA percent of total were increased at 50 min after glucose injection, whereas oleic acid (OA) and palmitic acid (PA) were decreased (P < 0.05). We conclude that the NEFA MM, as well as the response of individual NEFA fatty acids after a FSIVGTT, differ between OptHC and MetSyn subjects and that the NEFA MM parameters differ between individual fatty acids.
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2.
Glycemic profile assessment during betamethasone administration in women with gestational diabetes mellitus.
Kakoulidis, I, Ilias, I, Linardi, A, Milionis, C, Michou, A, Koukkou, E
Diabetes & metabolic syndrome. 2019;(1):214-215
Abstract
AIM: Betamethasone's effect on glucose homeostasis in the presence of gestational diabetes has not been adequately investigated. MATERIALS-METHODS We assessed the glycemic profile of 99 women with gestational diabetes (52 on insulin, 47 on medical nutrition therapy) who were given betamethasone during hospitalization for at risk pregnancies. RESULTS In insulin-treated women the increase in total daily insulin dose significantly linked to betamethasone dose (p = 0.014). In women on diet, the need for insulin was positively related to betamethasone dose, age and gestational age >34th week (all p < 0.05). CONCLUSION Parsimonious betamethasone use might still be beneficial with a milder effect on glycemia.
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3.
Use of flash glucose monitoring system in assessing safety of the SGLT2 inhibitors during Ramadan fasting in high risk insulin treated patients with type 2 diabetes.
Abdelgadir, E, Rashid, F, Bashier, A, Al Saeed, M, Khalifa, A, Alawadi, F, Hassanein, M
Diabetes & metabolic syndrome. 2019;(5):2927-2932
Abstract
BACKGROUND The risks of hypoglycemia, dehydration and kidney injury may theoretically be aggravated by people with type 2 diabetes treated with Insulin and SGLT2 inhibitors during Ramadan. Data on safety and efficacy of SGLT2-I in people with type 2 diabetes treated with insulin is scanty. We aimed to assess the impact of SGLT2 inhibitors during Ramadan in high-risk patients with type 2 diabetes treated with insulin, on hypoglycemia, glycemic control and kidney function. METHODS This is a prospective interventional study on high-risk diabetes patients who insisted on fasting. All patients were treated with insulin ± SGLT2I. All patients received a FGMS and Ramadan focused education. All patients attended clinic before and post Ramadan where they were advised on treatment modification as well as biometric and biochemical measurements. RESULTS 95 patients enrolled in the study and 49 of them were on SGLT2i. There was a no significant change in creatinine in both groups. FGMS showed an improvement in the sensor-calculated HbA1c from 7.3 ± 1.5 to 6.8 ± 1.1 and from 8 ± 1.6 to 7.7 ± 1.5 in the SGLT2 group and the non-SGT2i groups, respectively. The hypoglycemia was predominantly reported during Ramadan between 12:00 to 18:00 h, while in pre-Ramadan readings was during 2400-0600 and 1200-1800 slots. CONCLUSIONS This is the first study that assesses the use of SGLT2i along with insulin during Ramadan, using FGMS in high-risk patients with type 2 diabetes under optimal care. There was minimal interruption of fasting, significant improvement in glycemic control, and no significant change in the kidney function after Ramadan.
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Anthropometric outcomes in type 2 diabetic patients with new dapagliflozin treatment; actual clinical experience data of six months retrospective glycemic control from single center.
Calapkulu, M, Cander, S, Gul, OO, Ersoy, C
Diabetes & metabolic syndrome. 2019;(1):284-288
Abstract
INTRODUCTION Dapagliflozin is an antidiabetic drug that has been used as a member of the new antidiabetic drug group that acts by inhibiting SGLT-2 and increasing urinary glucose excretion. With numerous controlled experimental studies of dapagliflozin, evaluation of real-life data after entry into clinical practice is an important condition. In our study, the effects of dapagliflozin on glycemic control and anthropometric measurements were investigated retrospectively. METHODS A-total of thirty-one type 2 diabetics were enrolled in the study. Data of before dapagliflozin and three and six months of treatment were recorded. RESULTS Dapagliflozin reduced HbA1c levels by 0,9% at 3 months and 0,79% at 6 months. Fasting plasma glucose decreased 41,1 mg/dl in the 3rd and 42 mg/dl in the 6th, postprandiyal glucose decreased 86,3 mg/dl in the 3rd and 74,2 mg/dl in the 6th. In the 3rd and 6th, body weights decreased by 3,3 kg and 4,2 kg, BMI decreased by 1,3 kg/m2 and 1,6 kg/m2 respectively. Similarly, it was observed that the waist circumference decreased by 1,3 cm at the end of 6th. CONCLUSION Our data show that SGLT-2 inhibitors provide glycemic control with reduce HbA1c levels by 0.8-0.9%, and reduce fasting and postprandial plasma glucose levels without increasing the risk of hypoglycemia and causing weight lose around 5% at the six mounths. SGLT-2 inhibitors were found to be more effective in reduce postprandiyal plasma glucose in patients who did not use insulin and fasting plasma glucose in patients with diabetes mellitus less than 10 years.
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5.
The effect of probiotic supplementation on glycemic control and lipid profile in patients with type 2 diabetes: A randomized placebo controlled trial.
Razmpoosh, E, Javadi, A, Ejtahed, HS, Mirmiran, P, Javadi, M, Yousefinejad, A
Diabetes & metabolic syndrome. 2019;(1):175-182
Abstract
AIMS: The role of gut microbiota in the pathogenesis of diabetes is increasing; this study investigates the effect of multi-strain probiotics on fasting plasma glucose (FPG), plasma insulin and lipid profile among patients. METHODS This randomized double blind controlled trial was performed among 60 patients; individuals were randomly assigned into 2 groups of 30 participants in order to take either probiotic supplements or placebo for 6 weeks. The probiotic supplement consisted of 7 viable strains Lactobacillus, Bifidobacterium and Streptococcus. Nutrient intakes were estimated using a 3-day and 24 hour-dietary recall at the beginning and end of study. Fasting blood samples were taken before and after intervention to measure the levels of FPG, plasma insulin and lipid profiles. RESULTS Within group comparisons showed significant decrease and increase in the levels of FPG (P = 0.001) and HDL-C (P = 0.002) in probiotic group, respectively. No significant alterations were observed for within and between group comparisons in the levels of insulin, triglycerides, total cholesterol, insulin resistance and anthropometric measurements, including weight, waist circumference and body mass index (all P > 0.05). CONCLUSIONS This study showed a significant decrease in FPG level by multi-strain probiotic supplements in within group comparison; though, further studies are needed to confirm results. (IRCT Code: IRCT2013100714925N1).