METHODS: We assessed sCD26/DPP-IV levels, active GLP-1 levels, body mass index (BMI), glucose, insulin, A1c, glucose homeostasis indices, and lipid profiles in 549 Malaysian subjects (including 257 T2DM patients with MetS, 57 T2DM patients without MetS, 71 non-diabetics with MetS, and 164 control subjects without diabetes or metabolic syndrome).
RESULTS: Fasting serum levels of sCD26/DPP-IV were significantly higher in T2DM patients with and without MetS than in normal subjects. Likewise, sCD26/DPP-IV levels were significantly higher in patients with T2DM and MetS than in non-diabetic patients with MetS. However, active GLP-1 levels were significantly lower in T2DM patients both with and without MetS than in normal subjects. In T2DM subjects, sCD26/DPP-IV levels were associated with significantly higher A1c levels, but were significantly lower in patients using monotherapy with metformin. In addition, no significant differences in sCD26/DPP-IV levels were found between diabetic subjects with and without MetS. Furthermore, sCD26/DPP-IV levels were negatively correlated with active GLP-1 levels in T2DM patients both with and without MetS. In normal subjects, sCD26/DPP-IV levels were associated with increased BMI, cholesterol, and LDL-cholesterol (LDL-c) levels.
CONCLUSION: Serum sCD26/DPP-IV levels increased in T2DM subjects with and without MetS. Active GLP-1 levels decreased in T2DM patients both with and without MetS. In addition, sCD26/DPP-IV levels were associated with Alc levels and negatively correlated with active GLP-1 levels. Moreover, metformin monotherapy was associated with reduced sCD26/DPP-IV levels. In normal subjects, sCD26/DPP-IV levels were associated with increased BMI, cholesterol, and LDL-c.
Methods: Fasting blood samples were collected from 35 DMT2 or DMT2HTN patients each to analyze differences in serum and plasma levels of IMA, hs-CRP, FIB, total cholesterol (TC), high and low density lipoproteins (HDL and LDL), triglyceride (TG), hemoglobin A1c (HbA1C), glycated hemoglobin and creatinine.
Results: In DMT2 and DMT2HTN patients, IMA, hs-CRP, FIB, TC, TG, HDL, LDL, glycated hemoglobin and creatinine levels, including body mass index (BMI) and waist-to-hip ratio (WHR), were significantly higher relative to healthy controls. In addition, the levels of IMA, hs-CRP and FIB levels showed a strong link to BMI, WHR, TC, TG, LDL and glycated hemoglobin. Lastly, both DMT2 and DMT2HTN patients demonstrated a significant reduction in HDL.
Conclusion: DMT2 and DMT2HTN patients have a greater risk of developing cardiovascular related complications. This study suggests that quantifying hs-CRP, IMA and FIB levels can help diagnose the risk of developing complications during the early stages of metabolic and cardiovascular disease. Overall, the specific risk factors may be used for early identification of cardiovascular complications to decrease mortality and morbidity in T2DM patients.
Methods: 53 women with GDM (30 managed with diet only (GDM-diet) and 23 treated with insulin (GDM-insulin)) and 43 pregnant women with normal glucose tolerance (NGDM) were studied, with GIP and GLP-1 levels measured at 24-28 weeks (E1), prior (E2) and after (E3) delivery, and postpuerperium (E4).
Results: Basal GIP was shown to be low in GDM groups compared to NGDM in E1, and in E4 for GDM-diet. GLP-1 was low in GDM groups during pregnancy and afterwards. At E1, serum GIP and GLP-1 were inversely associated with GDM and participants with lower levels of GIP (<0.23 ng/mL) and GLP-1 (<0.38 ng/mL) had a 6 (95% CI 2.5-14.5)- and 7.6 (95% CI 3.0-19.1)-fold higher risk of developing GDM compared with the higher level, respectively. In the postpuerperium, when there is a drop in β-cell function, participants with previous GDM (pGDM) presented lower GLP-1 (in both GDM subgroups) and lower GIP in GDM-diet subgroup compared to controls.
Conclusion: There is an independent, inverse association between fasting incretins and higher risk of GDM. Furthermore, lowered levels of these peptides may play an important role in the abnormality of glucose regulation following pregnancy.
Materials and Methods: A cross-sectional study was conducted at Hospital Universiti Sains Malaysia (Hospital USM), Health Campus, Kubang Kerian, Kelantan, Malaysia. Thirty newly diagnosed patients with PCOS attending gynecology clinic between July 2016 and April 2017 were recruited. Fasting venous blood samples were collected from the subjects. Serum AMH, insulin, adiponectin, triglycerides, high-density lipoprotein cholesterol (HDL-C), and plasma glucose levels were measured, and insulin resistance was calculated based on homeostasis model of assessment-insulin resistance (HOMA-IR). The serum AMH level was estimated, and the correlation of serum AMH level with the metabolic parameters was analyzed.
Results: The median of serum AMH levels in women with PCOS was 6.8 ng/mL (interquartile range: 7.38 ng/mL). There was a significant negative correlation between serum AMH and HOMA-IR or triglyceride levels (r = -0.49, P = 0.006 and r = -0.55, P = 0.002, respectively). A significant positive correlation was observed between serum AMH and serum HDL-C or serum adiponectin levels (r = 0.56, P = 0.001 and r = 0.44, P = 0.014, respectively) in all study subjects.
Conclusion: The serum AMH level is associated with HOMA-IR, triglycerides, HDL-C, and adiponectin levels, and hence it may be used as a potential cardiometabolic risk marker in women with PCOS.
MATERIALS AND METHODS: We pooled data from 17 observational studies involving 1,699 patients treated with either CSII or non-CSII (including premixed and MDI) regimen. The study outcomes were the frequencies of hypoglycemia, hyperglycemia and/or ketosis. Given the lack of patient-level data, separate analyses for premixed and MDI regimen were not carried out.
RESULTS: The CSII-treated group (n = 203) was older (22.9 ± 6.9 vs 17.8 ± 4.0 years), and had longer diabetes duration (116.7 ± 66.5 vs 74.8 ± 59.2 months) and lower glycated hemoglobin (7.8 ± 1.1% vs 9.1 ± 2.0%) at baseline than the non-CSII-treated group (n = 1,496). The non-CSII-treated group had less non-severe hypoglycemia than the CSII-treated group (22%, 95% CI 13-34 vs 35%, 95% CI 17-55). Of the non-CSII-treated group, 7.1% (95% CI 5.8-8.5) developed severe hypoglycemia, but none from the CSII-treated group did. The non-CSII-treated group was more likely to develop hyperglycemia (12%, 95% CI 3-25 vs 8.8%, 95% CI 0-31) and ketosis (2.5%, 95% CI 1.0-4.6 vs 1.6%, 95% CI 0.1-4.7), and discontinue fasting (55%, 95% CI 34-76 vs 31%, 95% CI 9-60) than the CSII-treated group.
CONCLUSIONS: The CSII regimen had lower rates of severe hypoglycemia and hyperglycemia/ketosis, but a higher rate of non-severe hyperglycemia than premixed/MDI regimens. These suggest that appropriate patient selection with regular, supervised fine-tuning of the basal insulin rate with intensive glucose monitoring might mitigate the residual hypoglycemia risk during Ramadan.
OBJECTIVES: We sought to establish the effects of 1 mo of intermittent fasting on the gut microbiome.
METHODS: We took advantage of intermittent fasting being voluntarily observed during the Islamic faith-associated Ramadan and sampled feces and blood, as well as collected longitudinal physiologic data in 2 cohorts, sampled in 2 different years. The fecal microbiome was determined by 16S sequencing. Results were contrasted to age- and body weight-matched controls and correlated to physiologic parameters (e.g., body mass and calorie intake).
RESULTS: We observed that Ramadan-associated intermittent fasting increased microbiome diversity and was specifically associated with upregulation of the Clostridiales order-derived Lachnospiraceae [no fasting 24.6 ± 13.67 compared with fasting 39.7 ± 15.9 in relative abundance (%); linear discriminant analysis = 4.9, P
MATERIALS AND METHODS: A total of 100 adults with type 2 diabetes were assessed with 6-day continuous glucose monitoring and HbA1c . Area under the curve (AUC) ≥5.6 mmol/L was defined as AUCTOTAL . AUC equal to or greater than each preprandial glucose for 4-h duration was defined as AUCPPH . The total PPH (AUCTPPH ) was the sum of the various AUCPPH. The postprandial contribution to overall hyperglycemia was calculated as (AUCTPPH / AUCTOTAL ) × 100%.
RESULTS: The present study comprised of Malay, Indian, and Chinese type 2 diabetes patients at 34, 34 and 28% respectively. Overall, the mean PPH significantly decreased as HbA1c advanced (mixed model repeated measures adjusted, beta-estimate = -3.0, P = 0.009). Age (P = 0.010) and hypoglycemia (P = 0.006) predicted the contribution difference. In oral antidiabetic drug-treated patients (n = 58), FH contribution increased from 54% (HbA1c 6-6.9%) to 67% (HbA1c ≥10%). FH predominance was significant in poorly-controlled groups (P = 0.028 at HbA1c 9-9.9%; P = 0.015 at HbA1c ≥10%). Among insulin users (n = 42), FH predominated when HbA1c was ≥10% before adjustment for hypoglycemia (P = 0.047), whereas PPH was numerically greater when HbA1c was <8%.
CONCLUSIONS: FH and PPH contributions were equal in well-controlled Malaysian type 2 diabetes patients in real-world practice. FH predominated when HbA1c was ≥9 and ≥10% in oral antidiabetic drug- and insulin-treated patients, respectively. A unique observation was the greater PPH contribution when HbA1c was <8% despite the use of basal and mealtime insulin in this multi-ethnic cohort, which required further validation.
METHODS: We searched MEDLINE (via PubMed) and Science Direct databases for articles that included the component of nutrition for adult patients with type 2 diabetes (T2D), published in English between 2010 and 2020.
RESULTS: Fourteen studies met the criteria. Eight of 14 studies had an intervention with a control arm. In comparison to the control group, all studies (n = 8) showed a reduction in hypoglycemic events. However, only half of these studies (n = 4) had shown at least one positive clinical outcome. Features of nutrition therapy that appeared to have favorable clinical outcomes include individualized caloric prescription; distributing carbohydrates equally between Suhoor, Iftar and snacks; providing meal plans; adjusting food intake to suit Ramadan; and incorporating diabetes-specific formula as part of Suhoor or snack.
CONCLUSIONS: The review provides evidence for the effectiveness of Ramadan-focused nutrition therapy among people with T2D and identifies key features of nutrition therapy that may provide favourable clinical outcomes. Additional data on dietary quality and adequacy during Ramadan fasting warrants further studies.
METHODS: Muslim people with T1DM were surveyed in 13 countries between June and August 2020, shortly after the end of Ramadan (23rd April-23rd May 2020) using a simple questionnaire.
RESULTS: 71.1% of muslims with T1DM fasted during Ramadan. Concerns about COVID-19 were higher in individuals ≥18 years (p = 0.002). The number of participants who decided not to fast plus those who received Ramadan-focused education were significantly higher in the ≥18-year group (p
METHODS: Muslim people with diabetes and CKD were surveyed in 13 countries shortly after the end of Ramadan 2020, using a simple Survey Monkey questionnaire.
RESULTS: This survey recruited 6736 people with diabetes, of which 707 (10.49%) had CKD. There were 118 (16.69%) people with type1 diabetes (T1D), and 589 (83.31%) were with type2 diabetes (T2D). 62 (65.24%) people with T1D and 448 (76.06%) people with T2D had fasted with CKD. Episodes of hypoglycaemia and hyperglycaemia were more frequent among people with T1D compared to T2D, 64.52% and 43.54% vs 25.22% and 22.32% respectively. Visits to the emergency department and hospitalization were more frequent among people with CKD, however no significant difference was found between people with T1D and T2D.
CONCLUSION: The COVID-19 pandemic had only a minor effect on the intention to fast during Ramadan in people with diabetes and CKD. However, hypoglycaemia and hyperglycaemia were found to be more frequent, as well as emergency visits and hospital admissions among people with diabetic kidney disease. Prospective studies are needed in future to evaluate the risk indicators of hypoglycaemia and hyperglycaemia among fasting people with CKD, especially in the context of different stages of kidney disease.
METHODS: A cross-sectional observational study was designed. Forty normotensive (median age 47 +/- 6 yrs.) and twenty untreated hypertensive Malay men (median age 50 +/- 7 yrs.) without clinical evidence of cardiovascular complications were selected. Pulse wave velocity measured using the automated Complior machine was used as an index of arterial stiffness. Other measurements obtained were blood pressure, body mass index, fasting insulin, cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides, glucose and creatinine level.
RESULTS: The blood pressure and pulse wave velocity (PWV) were significantly higher in the hypertensives compared to the normotensives (blood pressure 169/100 mm Hg +/- 14/7 vs. 120/80 mm Hg +/- 10/4, p < 0.001; PWV 11.69 m/s +/- 1.12 vs. 8.83 m/s +/- 1.35, p < 0.001). Other variables such as body mass index, fasting insulin, cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides and haematocrit were comparable among the two groups. Within each group, there was a significant positive correlation between pulse wave velocity and systolic blood pressure (r = 0.76, p < 0.001 in normotensives; r = 0.73, p < 0.001 in hypertensives) and mean arterial pressure (r = 0.74, p < 0.001 in normotensives; r = 0.73, p < 0.001 in hypertensives). No correlation was noted between pulse wave velocity and diastolic blood pressure, age, body mass index, fasting insulin level, cholesterol, HDL-cholesterol, LDL-cholesterol or triglyceride levels.
CONCLUSION: Arterial stiffness as determined by PWV is increased in newly diagnosed untreated hypertensive subjects even before clinically evident cardiovascular disease. However, arterial stiffness is not correlated with the fasting insulin level in normotensives and newly diagnosed hypertensives.