Status of essential trace metals in biological samples of diabetic mother and their neonates
ABSTRACT ObjectiveThere is accumulating facts that the metabolism of essential trace elements is altered in diabetic patients. The aim of present
study was to compare the status of essential trace elements, chromium (Cr), manganese (Mn), and zinc (Zn) in biological samples
(whole blood, urine and scalp hair) of insulin dependent diabetic mothers (age ranged 30–40) and their newly born infants
(n=76). An age matched 68 non-diabetic mothers and their infants, residing in the same locality, were selected as referents.
For a comparative study, the biological samples of non-diabetic and diabetic pregnant and non pregnant of same age group and
socio-economics status were also analysed.
MethodologyThe biological samples (scalp hair, blood and urine) were collected from study and referent groups. The Cr, Mn and Zn concentrations
in all three biological samples were determined by a flame/electrothermal atomic absorption spectrometer, prior to microwave
assisted acid digestion. The validity and accuracy of the methodology was checked by certified reference materials (CRMs)
and using conventional wet acid digestion method on same CRMs.
ResultsThe mean values of Cr, Mn and Zn in scalp hair and blood samples of diabetic mothers and their infants were significantly
lower as compared to the referent mothers-infants pairs (p<0.01), while urinary excretion of all these elements were high in diabetic mother–infant pair samples.
ConclusionThe deficiencies of essential trace elements, Cr, Mn and Zn in biological samples of diabetic women, may play role in the
pathogenesis of diabetes mellitus and impacts on their neonates.
- SourceAvailable from: Abdul Haleem Panhwar[Show abstract] [Hide abstract]
ABSTRACT: The abnormal metabolism of metal ions plays an important role in health and disease conditions, and studies about them have been attracting significant interest. The aim of our study was to assess the essential minerals (calcium (Ca), magnesium (Mg), potassium (K), and sodium (Na)) in biological samples (scalp hair, blood, urine) of 387 hypertensive males and females, age 30-60 years, in an urban population together with 439 non-hypertensive subjects of same age group and residential areas. The element concentrations were measured by means of an atomic absorption spectrophotometer after microwave-induced acid digestion. The validity and accuracy was checked by conventional wet acid digestion method and using certified reference materials. The overall recoveries of all elements were found in the range of 99.1-99.9% of certified values. The results indicated significantly lower levels of Ca, Mg, and K in the biological samples (blood and scalp hair) of hypertensive patients, when compared to controls of both genders. The level of Na was found to be high in biological samples of hypertensive patients as compared to controls. The deficiency of Ca, Mg, and K may be synergistic with risk factors associated with hypertension. These data present guidance to clinicians and other professionals who will be investigating the deficiency of essential micronutrients in biological samples (scalp hair and blood) of hypertensive patients.Clinical laboratory 01/2014; 60(3):463-74. · 0.92 Impact Factor
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ABSTRACT: Zinc deficiency is known to be associated with insulin resistance in obese individuals. This study was performed to evaluate the effect of zinc supplementation on insulin resistance and metabolic risk factors in obese Korean women. Forty obese women (body mass index (BMI) ≥ 25 kg/m(2)) aged 19-28 years were recruited for this study. Twenty women of the study group took 30 mg/day of supplemental zinc as zinc gluconate for 8 weeks and 20 women of control group took placebo. Usual dietary zinc intake was estimated from 3-day diet records. Insulin resistances were measured using Homeostasis model assessment (HOMA) indices, and insulin sensitivities Matsuda indices, which were calculated using oral glucose tolerance test data. Metabolic risk factors, such as waist circumference, blood pressure, fasting glucose, triglyceride, high density lipoprotein (HDL) cholesterol, and adipocyte hormones such as leptin, and adiponectin were also measured. At the beginning of study, dietary zinc averaged 7.31 mg/day and serum zinc averaged 12.98 µmol/L in the study group. Zinc supplementation increased serum zinc by 15% and urinary zinc by 56% (P < 0.05). HOMA values tended to decrease and insulin sensitivity increased slightly in the study group, but not significantly so. BMI, waist circumference, blood pressure, blood glucose, triglyceride, HDL cholesterol, and adipocyte hormones did not change in either the study or control group. These results suggest that zinc status may not affect insulin resistance and metabolic risk factors in obese Korean women. Further research is required on a larger cohort with a longer follow-up to determine the effects of zinc status on insulin resistance and metabolic variables.Nutrition research and practice 06/2012; 6(3):221-5. · 0.97 Impact Factor
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ABSTRACT: The aim of the present work focuses on exploring the feasibility of analyzing the relationship between diabetes mellitus and several element levels in hair/urine specimens by chemometrics. A dataset involving 211 specimens and eight element concentrations was used. The control group was divided into three age subsets in order to analyze the influence of age. It was found that the most obvious difference was the effect of age on the level of zinc and iron. The decline of iron concentration with age in hair was exactly consistent with the opposite trend in urine. Principal component analysis (PCA) was used as a tool for a preliminary evaluation of the data. Both ensemble and single support vector machine (SVM) algorithms were used as the classification tools. On average, the accuracy, sensitivity and specificity of ensemble SVM models were 99%, 100%, 99% and 97%, 89%, 99% for hair and urine samples, respectively. The findings indicate that hair samples are superior to urine samples. Even so, it can provide more valuable information for prevention, diagnostics, treatment and research of diabetes by simultaneously analyzing the hair and urine samples.Computers in Biology and Medicine. 01/2014;