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Identification of a New Urate and High Affinity Nicotinate Transporter, hOAT10 (SLC22A13)*

Overview of attention for article published in Journal of Biological Chemistry, April 2008
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Article details
Title
Identification of a New Urate and High Affinity Nicotinate Transporter, hOAT10 (SLC22A13)*
Published in
Journal of Biological Chemistry, April 2008
DOI 10.1074/jbc.m800737200
Pubmed ID
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Abstract

The orphan transporter hORCTL3 (human organic cation transporter like 3; SLC22A13) is highly expressed in kidneys and to a weaker extent in brain, heart, and intestine. hORCTL3-expressing Xenopus laevis oocytes showed uptake of [(3)H]nicotinate, [(3)H]p-aminohippurate, and [(14)C]urate. Hence, hORCTL3 is an organic anion transporter, and we renamed it hOAT10. [(3)H]Nicotinate transport by hOAT10 into X. laevis oocytes and into Caco-2 cells was saturable with Michaelis constants (K(m)) of 22 and 44 microm, respectively, suggesting that hOAT10 may be the molecular equivalent of the postulated high affinity nicotinate transporter in kidneys and intestine. The pH dependence of hOAT10 suggests p-aminohippurate(-)/OH(-), urate(-)/OH(-), and nicotinate(-)/OH(-) exchange as possible transport modes. Urate inhibited [(3)H]nicotinate transport by hOAT10 with an IC(50) value of 759 microm, assuming that hOAT10 represents a low affinity urate transporter. hOAT10-mediated [(14)C]urate uptake was elevated by an exchange with l -lactate, pyrazinoate, and nicotinate. Surprisingly, we have detected urate(-)/glutathione exchange by hOAT10, consistent with an involvement of hOAT10 in the renal glutathione cycle. Uricosurics, diuretics, and cyclosporine A showed substantial interactions with hOAT10, of which cyclosporine A enhanced [(14)C]urate uptake, providing the first molecular evidence for cyclosporine A-induced hyperuricemia.

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The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Researcher 11 13%
Student > Master 10 12%
Student > Bachelor 9 10%
Professor 4 5%
Other 8 9%
Unknown 26 30%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 20%
Medicine and Dentistry 16 19%
Agricultural and Biological Sciences 10 12%
Pharmacology, Toxicology and Pharmaceutical Science 8 9%
Immunology and Microbiology 2 2%
Other 8 9%
Unknown 25 29%