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  • 1
    ISSN: 1432-198X
    Keywords: Retinol-binding protein ; Albumin ; Early morning urine ; Tubular proteinuria ; Renal disease assessment
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract Retinol-binding protein (RBP) is a low molecular weight protein freely filtered at the glomerulus. The fractional tubular reabsorption of RBP is 99.97% and increased excretion is therefore a sensitive marker of tubular dysfunction. We obtained early-morning urine specimens from 151 well children, from newborn to 16 years of age. RBP was measured using an enzyme-linked immunosorbent assay, albumin by a radioimmunoassay and creatinine by a modified Jaffé reaction. Protein excretion was assessed by calculating the protein: creatinine ratio for early-morning urine samples. We found a fall in both RBP and albumin excretion with increasing age, particularly in the 1st year of life, with a much wider variation in values from the infants studied. The mean excretion of RBP for children aged 0–6 months [51.4 (0.6–4,719) μg/mmol] was significantly higher (P〈0.001) than the mean for children aged 6 months to 16-years [15.0 (3.8–60) μg/mmol]. It has been shown that measurement of tubular proteinuria using the RBP: creatinine ratio is useful in the assessment of children with renal disease and we propose a value two standard deviations above the geometric mean for the age of the patient as an upper limit of normal.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Hydrobiologia 257 (1993), S. 29-35 
    ISSN: 1573-5117
    Keywords: fish community structure ; canonical correspondence analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract We collected the common fish species in all available aquatic habitats (streams, oxbow lakes, swamps) in bottomlands of McCurtain County, Oklahoma. Abundance and distribution of fishes, and environmental data were analyzed by a multivariate approach and examined for fit to a hierarchical model. The variables maximum depth, substrate, and presence of flow were the most important variables predicting fish community structure. Our multivariate analyses demonstrate that environmental factors can explain much variation in presence and abundance of the common fish species. Kolasa's hierarchical model relates species to each other by comparing ranges. This habitat-based model explained the relationships of our species ranges.
    Type of Medium: Electronic Resource
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