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Islam A.,Universiti Sains Malaysia | Khalil I.,Universiti Sains Malaysia | Khalil I.,Jahangirnagar University | Islam N.,Universiti Sains Malaysia | And 5 more authors.
BMC Complementary and Alternative Medicine | Year: 2012

Background: There is no available information on physicochemical and antioxidant properties on Bangladeshi honey. We investigated five different monofloral and three different multifloral honey samples collected from different parts of Bangladesh.Methods: The levels of phenolics, flavonoids, ascorbic acid, ascorbic acid equivalent antioxidant content (AEAC), proline, protein and antioxidants were determined in the honey samples using ferric reducing antioxidant power (FRAP) and 1,1-diphenyl-2-picrylhydrazyl (DPPH) assays.Results: The highest level of phenolic was 688.5 ± 5.9 mg Gallic acid/kg, and the highest level of flavonoid was 155 ± 6.9 mg Catechin/kg. The highest color intensity was 2034.00 ± 17.5 mAU, and the highest protein content was 8.6 ± 0.0mg/g. High levels of proline (2932.8 ± 3.7 mg/kg), ascorbic acid (154.3 ± 0.3 mg/kg), AEAC (34.1 ± 1.4mg/100 g) and FRAP (772.4 ± 2.5 μmol Fe (II)/100 g) were detected in some of the samples, especially the multifloral honey samples, indicating good antioxidant properties. A strong positive correlation was found between phenolics, flavonoids, DPPH, FRAP and color intensity, indicating that in addition to total phenolic and flavonoid concentrations, color intensity and amino acid are good indicators of the antioxidant potential of honey. Except for a single sample (BDH-6), the honey samples stored for 1.5 years at room temperature still had 5-hydroxymethylfurfural (HMF) values within the recommended range (mean = 10.93 mg/kg), indicating that the rate of HMF production in Bangladeshi honey samples is low.Conclusion: It is postulated that the low rate of HMF formation could be attributed to the acidic and low moisture content in the samples. In general, multifloral honeys have higher antioxidant properties based on their high levels of phenolics, flavonoids, AEAC, DPPH and FRAP when compared to monofloral honeys. We also found that monofloral honey samples from Guizotia abyssinica and Nigella sativa had high antioxidant properties. © 2012 Islam et al.; licensee BioMed Central Ltd.

Morkrid K.,University of Oslo | Ali L.,Bangladesh Institute of Research and Rehabilitation in Diabetes | Hussain A.,University of Oslo
International Journal of Diabetes in Developing Countries | Year: 2010

Aims/Hypothesis: The purpose of the study is to estimate the prevalence and risk factors for diabetic peripheral neuropathy (DPN) in type 2 diabetic outpatients at the BIRDEM hospital, Bangladesh. Materials and Methods: Type 2 diabetic outpatients, diagnosed 5-11 years prior to the investigation were randomly selected for the study. DPN was assessed using the Neuropathy Symptom Score (NSS) and Neuropathy Disability Score (NDS). Data about demographics, blood pressure, height, weight, waist and hip circumference, and random blood and urine samples were collected. Results: Two hundred and ninety four (139 men, 155 women) type 2 diabetic outpatients were studied. The overall DPN prevalence was 19.7 %; male (20.9%), female (18.7 %). The prevalence increased with age (from 11.1% in the 23-40 year-old group to 32.3% in the 60-80 year-old group) and duration of diabetes (from 14.1% in patients with five years to 29.2% in patients with 9-11 years duration). Age > 60 years (OR 4.2, 95% CI 1.4-12.3), low/normal WHR (OR 3.8, 95% CI 1.6-9.3), income < 800 TK (OR 3.1, 95% CI 1.1-9.3) and insulin treatment (OR 2.0, 95% CI 1.0-4.0) were independent, significant risk factors. Longer duration of diabetes (OR1.2 95% CI 1.0-1.4), and higher HbA1c (OR1.1, 95% CI 1.0-1.3) were marginally independent, significant risk factors for DPN. Conclusions/Interpretations: We observed a DPN prevalence of 19.7%. Higher age, low socioeconomic status, treatment with insulin, longer duration of diabetes and poor glycemic control were risk factors for DPN.

Biswas S.K.,Bangabandhu Sheikh Mujib Medical University | Biswas S.K.,University of Tennessee Health Science Center | Mudi S.R.,Bangladesh Institute of Research and Rehabilitation in Diabetes | Mollah F.H.,Bangabandhu Sheikh Mujib Medical University | And 2 more authors.
Diabetes and Vascular Disease Research | Year: 2013

This study was designed to explore the relationship between serum levels of soluble receptor for advanced glycation end products (sRAGE) and cigarette smoking in non-diabetic healthy subjects. A total of 98 non-diabetic, otherwise healthy male subjects were recruited. A fasting blood sample and medical history including detail history of cigarette smoking was collected. The serum sRAGE levels were found significantly higher (p=0.002) in cigarette smokers (1475±422 pg/ml, n=45) compared with non-smokers (1165±350 pg/ml, n=53). Moreover, among the cigarette smokers, serum sRAGE levels were found significantly correlated with number of cigarettes smoked per day (r=0.60, p<0.001). In bivariate analysis in the total population, sRAGE positively correlated with smoking habit (r=0.37, p=0.002) and negatively correlated with systolic (r=-0.32, p=0.01) and diastolic blood pressure (r=-0.36, p=0.003). However, in stepwise multivariate linear regression model, sRAGE showed a significant independent association with smoking habit (b=0.32, p=0.007, R2=0.23). In conclusion, this study for the first time shows a significant elevation of serum sRAGE in cigarette smokers compared with non-smokers, a strong correlation between sRAGE and number of cigarettes smoked per day and an independent association of sRAGE with smoking habit in non-diabetic healthy subjects. © The Author(s) 2013.

Tasnim F.,Bangladesh Institute of Research and Rehabilitation in Diabetes | Faruque M.O.,Bangladesh University | Hassan Z.,Bangladesh University | Ali L.,Bangladesh University
Journal of Taibah University Medical Sciences | Year: 2015

Abstract Objectives The present study aimed to explore the relationship of circulating vaspin levels with insulin sensitivity and anthropometric factors. Methods This study was conducted with 65 newly diagnosed type 2 diabetes mellitus (T2DM) patients with age-matched 65 healthy controls. Serum glucose was measured using glucose-oxidase method, lipid profiles by enzymatic end-point methods, and fasting insulin and vaspin levels were assessed with ELISA techniques. Homeostasis model assessment for insulin sensitivity (HOMA%S) and insulin secretory capacity (HOMA%B) were estimated from the fasting glucose and insulin levels using HOMA-CIGMA software. Results Fasting serum insulin (μU/ml) was higher in the diabetic group than controls (16.0 ± 7.9 vs. 10.9 ±3.3, respectively, p =0.0001). The mean (±SD) HOMA%S of the diabetics was significantly lower than that of the controls (48 ±31 vs. 76±55, respectively, p = 0.001). The HOMA%B of the T2DM group was nearly 50% of that of the controls (71± 40 vs. 131 ±46, respectively, p = 0.001). The T2DM group exhibited significantly lower serum vaspin (ng/ml) levels than the controls (0.62 ±0.26 vs. 0.83± 0.28, respectively, p =0.001). Vaspin levels were negatively correlated with waist circumference (r =0.17, p =0.043) and positively correlated with HOMA%S (r =0.243, p =0.007) among all of the participants. The association of serum vaspin with diabetes remained highly significant (p =0.008) in binary logistic regression analysis performed after adjusting for the effects of confounders. Conclusions Serum vaspin level is positively associated with insulin sensitivity and negatively correlated with serum glucose, BMI and waist-height ratio. © 2015 The Authors.

Home P.D.,Northumbria University | Shen C.,Novo Nordisk AS | Hasan M.I.,Diabetic Institute Pakistan | Latif Z.A.,Bangladesh Institute of Research and Rehabilitation in Diabetes | And 2 more authors.
Diabetes Care | Year: 2014

OBJECTIVE: Individualization of therapy choices requires the prediction of likely response. Predictor and explanatory factors of change in HbA1c were studied using data from a large observational study of starting insulin analog therapy (the A1chieve study). RESEARCH DESIGN AND METHODS: Univariate analyses were performed for insulin-naive people and prior insulin users in the A1chieve study. Statistically significant factors were carried forward to baseline factor-only multivariate analyses ("predictor" analysis), and separately using all significant factors ("explanatory" analysis). Power was considered in terms of the variance explained. RESULTS: Geographical region, baseline HbA1c level, lipid levels, and baseline insulin dose were the most powerful predictors of HbA1c change (mean change -2.1% [-23 mmol/mol]) observed in the univariate analysis (r2 > 0.010, P < 0.001). However, although the predictor and explanatory multivariate models explained 62-82% of the variance in HbA1c change, this was mainly associated with baseline HbA1c (r2 = 0.544-0.701) and region (r2 = 0.014-0.037). Other factors were statistically significant but had low predictive power (r2 < 0.010); in the explanatory analysis, this included end-of-study hypoglycemia (insulin-naive group), insulin dose, and health-related quality of life (r2 < 0.001-0.006, P ≤ 0.007). CONCLUSIONS: Many factors can guide clinicians in predicting the response to starting therapy with insulin analogs, but many are interdependent and thus of poor utility. The factor explaining most of the variance in HbA1c change is baseline HbA1c level, with each increase of 1.0%-units (11mmol/mol) providing a 0.7-0.8%-units (8-9mmol/mol) greater fall. Other factors do not explain much of the remaining variance, even when including all end-of-trial measures. © 2014 by the American Diabetes Association.

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