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Biomedical subjects

A G Shannon

Publications and source records attributed to A G Shannon.

9 recordsLinked to original sources
PubMed2000

Quantification of free polysaccharide in meningococcal polysaccharide-diphtheria toxoid conjugate vaccines.

A precipitation method using deoxycholate/HCI has been applied successfully to separate unconjugated free polysaccharide from carrier protein-bound material in meningococcal polysaccharide-diphtheria toxoid conjugate vaccines. The method effectively separated free and bound polysaccharide in conjugate vaccines prepared from Neisseria meningitidis serotypes A, C, W135 and Y. Free polysaccharide remained in the supernatant after deoxycholate treatment while protein-bound polysaccharide was fully precipitated. Testing by both colorimetric assay and high performance anion exchange chromatography with pulsed amperometric detection (HPAEC-PAD) has confirmed the selective loss of protein-bound polysaccharide in samples of conjugate vaccine or conjugate vaccine mixed with known amounts of free polysaccharide. This rapid separation method requires minimum sample handling and is specific, reproducible, and allows assessment of free polysaccharide levels in vaccines at final container concentration.

Diphtheria Toxoid↗
PubMed1997

Estimation of glomerular filtration rate in type II (non-insulin dependent) diabetes mellitus patients.

The aim of this research was to develop an estimation of glomerular filtration rates (GFRs) from a combination of simple parameters in a large group of type II diabetic patients. We selected 122 newly presenting, previously untreated, type II patients whose GFR was determined from the plasma clearance of 51Cr-ethylenediamine tetraacetic acid (51Cr-EDTA) and simultaneous measurements of demographic variables, including fasting plasma glucose concentration, HbA1c, blood pressure, lipids, age, weight, body-mass index, body surface area, urea, and plasma creatinine concentration. The actual GFR values were compared with estimated values obtained from multiple regression and the Cockroft-Gault equations. Out of all the demographic variables, only plasma creatinine concentration (r = -0.56, p < 0.001), age (r = -0.50, p < 0.001), urea (r = -0.28, p < 0.01), and systolic blood pressure (r = -0.21, p < 0.05) showed significant correlations with the actual GFR values, for which the mean and standard deviation were 117.5 +/- 22.0 ml min-1 x 1.73 m-2. The estimated values are highly correlated with the actual values (r = 0.70), having an identical mean value of 117 +/- 15.3 and an unbiased regression relation (y = 0.000 + 1.000x). As standard measurements of the GFR are very time consuming and expensive, the use of the simple equation GFR1 = 218.1 - 0.916 x Age - 0.635 x Creatinine is recommended. The classification of GFR values into three ranges has also revealed the nonlinear characteristics of GFR in relation to other demographic variables: age and creatinine are the dominant variables in the middle GFR range, while the body-mass index and urea are dominant in the high and low ranges, respectively.

Adult↗
PubMed1994

A mathematical model of insulin secretion.

Diabetes mellitus is a chronic state of excessive blood glucose levels (hyperglycaemia), which may result from many environmental and genetic factors, often acting jointly. The major regulator of glucose concentration in the blood is insulin. It is known that about 50% of the insulin is taken up by the liver on passing through it after secretion from the pancreas. The precise value of this fractional uptake is not known, so the prehepatic insulin secretion rates cannot be readily estimated from the plasma insulin concentration levels. By utilizing the equimolar secretion of insulin and connecting peptide (C-peptide) from the pancreas, a noninvasive method has been formulated. This was based on a compartmental model which involved the pancreas, liver, and plasma. The resulting differential equation yielded a gamma variate solution which could be readily linearized. The model was then tested on 56 normal (51 nonobese and 5 obese) subjects, and three groups of subjects with diabetes who could be labelled as mild, moderate, and severe (based on the fasting plasma glucose concentration) with 83, 88, and 64 subjects respectively. We have focused on the human patient environment of the clinician to produce a distinct model which gave a consistent pattern within all four groups with good fits between observed and theoretical values of the plasma insulin levels. The consequent rates for insulin secretion were consistent across the groups and were clinically meaningful.

C-Peptide↗
PubMed1990

Some problems in the mathematical modelling of erythrocyte sedimentation.

The rate at which red blood cells fall in vitro is used as a common clinical test, amongst others, for a number of pathological conditions. The use of this test is cast into doubt when one finds flaws in the underlying models and confusion over fundamental issues such as the aggregation of the red blood cells. Both of these deficiencies are evident in an otherwise innovative publication by Huang et al. (1971). In examining the mathematics of this relatively unknown study, it is found that the Huang model resembles certain moving-boundary problems. The consequences of this observation are discussed.

Blood Sedimentation↗
PubMed1988

Retinopathy in newly presenting non-insulin-dependent (type 2) diabetic patients.

One hundred and twenty-nine (97 M, 32 F) previously untreated non-insulin-dependent diabetic patients were studied. Meal and glucose (75 g) tolerance tests were performed on two separate days with glucose, C-peptide and insulin levels estimated during each with the inclusion of growth hormone during the meal test. In addition glycosylated haemoglobin (HbA1) and plasma creatinine levels were determined. Clinical evaluation included detailed ophthalmological examination following mydriasis. Differences between retinopaths (n = 21) and non-retinopaths (n = 108) were FPG 13.7 vs 11.6 (mmol/l) (p less than 0.01); HbA1: 12.9 vs 11.3 (%) (p less than 0.01); BMI: 25.2 vs 29.4 (kg/m2) (p less than 0.001); age 56.8 vs 52.4 (yr) (ns); creatinine: 91.2 vs 88.4 (mumol/l) (ns); systolic blood pressure: 152.4 vs 143.9 mmHg (ns); diastolic blood pressure 87.9 vs 87.7 mmHg (ns); fasting growth hormone: 4.6 +/- 0.9 vs 2.4 +/- 0.3 (mU/1) (p less than 0.01). Multivariate logistic analysis however revealed that systolic blood pressure in conjunction with the insulin response gave the most significant correlation with retinopathy. No significant correlation was observed with age, sex, diastolic blood pressure, creatinine, family history or smoking. The effect of disease duration could not be evaluated. B-cell function appears central to microvascular complications in non-insulin dependent diabetes mellitus.

Blood Glucose↗
PubMedDate not supplied

Effectiveness of mass screening for diabetes mellitus using random capillary blood glucose measurements.

The results of 23 228 finger-prick capillary blood glucose tests (the taking of which was coordinated by the Diabetic Association of New South Wales) were reviewed. All non-diabetic persons (n = 860) with a blood glucose result of greater than or equal to 8.0 mmol/L were surveyed and 459 responded (53.4%). The responders were typical of the surveyed group with respect to age and capillary blood glucose level. Sixty-four new cases of diabetes were detected, representing 15.8% of the replies from persons who were not known to have diabetes and 0.28% of the total number of persons screened.

Age Factors↗