METHODS: A prospective 12-week study using linagliptin 5mg once daily in 50 subjects (28 prediabetes and 22 T2D) who were stratified into high versus low fasting GLP-1 groups. A 75-g oral glucose tolerance test (OGTT) was performed at week 0 and 12. Primary outcomes were changes in HbA1c, fasting and post-OGTT glucose after 12 weeks. Secondary outcomes included changes in insulin resistance and beta cell function indices.
RESULTS: There was a greater HbA1c reduction in subjects with high GLP-1 compared to low GLP-1 levels in both the prediabetes and T2D populations [least-squares mean (LS-mean) change of -0.33% vs. -0.11% and -1.48% vs. -0.90% respectively)]. Linagliptin significantly reduced glucose excursion by 18% in high GLP-1 compared with 8% in low GLP-1 prediabetes groups. The reduction in glucose excursion was greater in high GLP-1 compared to low GLP-1 T2D by 30% and 21% respectively. There were significant LS-mean between-group differences in fasting glucose (-0.95 mmol/L), 2-hour glucose post-OGTT (-2.4 mmol/L) in the high GLP-1 T2D group. Improvement in insulin resistance indices were seen in the high GLP-1 T2D group while high GLP-1 prediabetes group demonstrated improvement in beta cell function indices. No incidence of hypoglycemia was reported.
CONCLUSIONS: Linagliptin resulted in a greater HbA1c reduction in the high GLP-1 prediabetes and T2D compared to low GLP-1 groups. Endogenous GLP-1 level play an important role in determining the efficacy of DPP-IV inhibitors irrespective of the abnormal glucose tolerance states.
METHODS: We systemically searched PubMed, CENTRAL and Scopus up to June 2018. We searched for published interventional studies on biomarkers of glucose metabolism (defined as fasting glucose, fasting insulin, HOMA, 2-hour post prandial glucose and HbA1C) that compared palm oil- or palm olein-rich diets with other edible vegetable oils (such as olive oil, canola oil and soybean oil). Two reviewers independently extracted data and assessed study risks of bias. Mean differences of outcomes were pooled for the meta-analysis.
RESULTS: We identified 1921 potentially eligible articles with only eight included studies. Seven randomised cross-over trials and one parallel trial were included. Study population were among young to middle-aged, healthy, non-diabetic, and normal weight participants. Intervention duration ranged from three to seven weeks, and fat substitution ranged from 15% to 20% energy. There were insignificant differences in fasting glucose when compared to partially hydrogenated soybean oil [-0.15mmol/L (-0.46,0.16) P = 0.33, I2 = 48%], soybean oil [0.05mmol/L (-0.09,0.18) P = 0.49, I2 = 0%] and olive oil [0.04mmol/L (-0.09,0.17) P = 0.76, I2 = 0%]. Insignificant effects were also seen on fasting insulin when compared to partially hydrogenated soybean oil [1.72pmol/L (-11.39,14.84) P = 0.80, I2 = 12%] and olive oil diet [-0.14pmol/L (-4.87,4.59) P = 0.95, I2 = 0%].
CONCLUSION: Current evidence on the effects of palm oil consumption on biomarkers of glucose metabolism is poor and limited to only healthy participants. We conclude that little or no additional benefit will be obtained by replacing palm oil with other oils rich in mono or polyunsaturated fatty acids for changes in glucose metabolism.
MATERIALS AND METHODS: Using a cross-sectional design, cases of ovarian and breast cancer with clinical status of T2DM were selected over a 10-year period in Hospital Universiti Sains Malaysia. Immunohistochemical staining for IGFBP-rP1 was performed on paraffin-embedded tissues and the results were correlated with the patient's demographic and clinicopathological data.
RESULTS: A total of 152 breast cancer patients were recruited into the current study with 33.5% (51/152) patients were positive T2DM. Most of the breast cancer patients with T2DM were IGFBP-rP1-negative (66.7%, 34/51). The IGFBP-rP1 expression was significantly difference between breast cancer subjects with and without T2DM (p<0.001). There was no significant association of IGFBP-rP1 expression with data on the demographic and clinicopathological profiles of patients with breast cancer. Meanwhile, positive IGFBP-rP1 expression was evident in 44 out of 108 (40.74%) ovarian cancer cases. Among these cases, 36 were T2DM. In contrast to breast cancer cases, IGFBP-rP1 was mostly expressed among ovarian cancer patients with T2DM (66.7%, 24/36, p < 0.001). However, the -positive expression was not significantly associated with any sociodemographic and clinicopathological features of ovarian cancers.
CONCLUSIONS: Majority of breast cancer patients with T2DM did not express IGFBP-rP1. In contrast, majority of the ovarian cancer patients with T2DM expressed IGFBP-rP1.
OBJECTIVE: This study analyses the effect of estimating EGP for ICU patients with very low SI (severe insulin resistance) and its impact on identified, model-based insulin sensitivity identification, modeling accuracy, and model-based glycemic clinical control.
METHODS: Using clinical data from 717 STAR patients in 3 independent cohorts (Hungary, New Zealand, and Malaysia), insulin sensitivity, time of insulin resistance, and EGP values are analyzed. A method is presented to estimate EGP in the presence of non-physiologically low SI. Performance is assessed via model accuracy.
RESULTS: Results show 22%-62% of patients experience 1+ episodes of severe insulin resistance, representing 0.87%-9.00% of hours. Episodes primarily occur in the first 24 h, matching clinical expectations. The Malaysian cohort is most affected. In this subset of hours, constant model-based EGP values can bias identified SI and increase blood glucose (BG) fitting error. Using the EGP estimation method presented in these constrained hours significantly reduced BG fitting errors.
CONCLUSIONS: Patients early in ICU stay may have significantly increased EGP. Increasing modeled EGP in model-based glycemic control can improve control accuracy in these hours. The results provide new insight into the frequency and level of significantly increased EGP in critical illness.
MATERIALS AND METHODS: The study included 43 obese children and 40 normal weight children. Anthropometric body measurements, bio-specimen and biochemistry assays were done. Genotyping of rs9465871 (CDKAL1) was conducted.
RESULTS: The percentages of the CC, CT, and TT genotypes of rs9465871in the lean children were 15%, 42.5%, and 42.5%, respectively. Regarding obese children, the frequencies were 18.6%, 58.1% and 23.3% respectively with no significant statistical difference. Comparison between the CDKAL1 rs 9465871 polymorphism showed that the highest value of fasting insulin was recorded in CC genotype (22.80± 15.18 [uIU/mL] Pinsulin level was higher in the CC group than in the TT+ CT group (P