Literature DB >> 3948899

The effect of pH on the risk of calcium oxalate crystallization in urine.

C Berg, H G Tiselius.   

Abstract

The risk of calcium oxalate (CaOx) crystallization at different pH levels was determined in urine from recurrent CaOx-stone formers and normal subjects. The highest crystallization risk was observed between pH 4.5 and 5.5. In the pH range 6.5-7.5, there was a marked increase in crystallization of calcium phosphate (CaP). The results suggest the beneficial effect of moderate alkalinization in terms of a reduced CaOx crystallization. Reduced CaOx crystallization occurs at the expense of an increased formation of CaP crystals. Whether this increases the risk of CaP-stone formation is not known, but the CaP crystals were usually small, at least below pH 7.5.

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Year:  1986        PMID: 3948899     DOI: 10.1159/000472578

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  13 in total

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Authors:  C Berg; L Larsson; H G Tiselius
Journal:  Urol Res       Date:  1990

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Journal:  J Am Vet Med Assoc       Date:  2016-12-01       Impact factor: 1.936

Review 4.  A hypothesis of calcium stone formation: an interpretation of stone research during the past decades.

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5.  The effects of citrate on hydroxyapatite induced calcium oxalate crystallization and on the formation of calcium phosphate crystals.

Authors:  C Berg; H G Tiselius
Journal:  Urol Res       Date:  1989

6.  Evidence for a regulated Ca2+ entry in proximal tubular cells and its implication in calcium stone formation.

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Journal:  J Cell Sci       Date:  2019-04-30       Impact factor: 5.285

7.  Studies on the role of calcium phosphate in the process of calcium oxalate crystal formation.

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Journal:  Urol Res       Date:  2009-05-15

8.  In vitro effect of lemon and orange juices on calcium oxalate crystallization.

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Journal:  Int Urol Nephrol       Date:  2007-08-25       Impact factor: 2.370

9.  A new approach to studying inhibitors of calcium oxalate crystal growth.

Authors:  C Hennequin; V Lalanne; M Daudon; B Lacour; T Drueke
Journal:  Urol Res       Date:  1993-03

10.  Machine Learning Prediction of Kidney Stone Composition Using Electronic Health Record-Derived Features.

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Journal:  J Endourol       Date:  2022-02       Impact factor: 2.942

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