Literature DB >> 8141332

X-linked hypophosphatemic Gy mice: renal tubular maximum for phosphate vs. brush-border transport after low-P diet.

S W Thornton1, H S Tenenhouse, J Martel, R W Bockian, M H Meyer, R A Meyer.   

Abstract

We examined the effect of the X-linked hypophosphatemic Gy mutation on the maximal renal tubular reabsorption of phosphate (TmP) and compared the effects of phosphate deprivation on both TmP and Na(+)-dependent phosphate transport in renal brush-border membrane vesicles (BBMV). Adult female normal and Gy mice were fed a control (1.0% P) or low-phosphate (0.03% P) diet for 5 days. For TmP measurement, anesthetized mice were infused intravenously with [3H]inulin and increasing increments of phosphate (0, 0.27, 0.54, and 1.08 mumol/min). TmP was significantly reduced in Gy mice on the control diet. Normal mice responded to the low-phosphate diet by raising their TmP [2.35 +/- 0.12 (n = 9) vs. 3.71 +/- 0.16 (n = 9) mumol/ml glomerular filtrate, mean +/- SE, P < 0.001], whereas in Gy mice, the change was not significant [1.46 +/- 0.10 (n = 10) vs. 1.70 +/- 0.11 (n = 10)]. In contrast, Gy mice did respond to phosphate restriction by increasing the initial-rate Na(+)-dependent phosphate transport in the renal BBMV [314 +/- 11 (n = 5) vs. 1,105 +/- 157 (n = 5) pmol.mg protein-1.6 s-1, P < 0.01] as did normal mice [583 +/- 64 (n = 5) vs. 1,692 +/- 203 (n = 5) pmol.mg protein-1.6 s-1, P < 0.01]. In conclusion, the adaptive increase in Na(+)-phosphate cotransport in the brush-border membrane of the proximal tubule is not sufficient for the overall increase in TmP in the whole kidney in response to dietary phosphate deprivation.

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Year:  1994        PMID: 8141332     DOI: 10.1152/ajprenal.1994.266.2.F309

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  2 in total

1.  Renal expression of Na+-phosphate cotransporter mRNA and protein: effect of the Gy mutation and low phosphate diet.

Authors:  L Beck; H S Tenenhouse; R A Meyer; M H Meyer; J Biber; H Murer
Journal:  Pflugers Arch       Date:  1996-04       Impact factor: 3.657

2.  A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data.

Authors:  Kayvan Najarian; Maryam Zaheri; Ali A Rad; Siamak Najarian; Javad Dargahi
Journal:  BMC Bioinformatics       Date:  2004-12-16       Impact factor: 3.169

  2 in total

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