Literature DB >> 23105612

The use of lysosomal enzymuria in the early detection and monitoring of the progression of diabetic nephropathy.

Donatien Gatsing1, Ibrahim Hassan Garba, Godwin I Adoga.   

Abstract

Recent acquisitions on the early detection and monitoring of the progression of diabetic complications (nephropathy) using the techniques of enzymology (lysosomal enzymes) are reviewed. it appears that the kidney is the principal source of urinary lysosomal enzymes. Urinary samples for lysosomal enzyme determination can be either 24-hour or spot-collection. The use of synthetic substrates (4-methylumbelliferyl substrates) provides an easy, inexpensive, sensitive and highly reproducible method of lysosomal enzyme assay. It is recommended that more than one enzyme be assayed in the process. The use of fractional enzyme excretion (FEE) ratios is further recommended. The urinary lysosomal glycosidases investigated and found to be of particular diagnostic value in the early detection of diabetic nephropathy include N-acetyl-β-D-glucosaminidase (β-hexosaminidase, NAG), β-glucuronidase and β-galactosidase, with NAG being the most useful indicator. Urinary NAG can be used in monitoring the progression of diabetic nephropathy. The fluorimetric assay of lysosomal glycosidases is particuarly recommended in developing countries since it is simple, sensitive and inexpensive.

Entities:  

Keywords:  Lysosomal enzymuria; N-acetyl-β-D-glucosaminidase; diabetic nephropathy

Year:  2006        PMID: 23105612      PMCID: PMC3453975          DOI: 10.1007/BF02912910

Source DB:  PubMed          Journal:  Indian J Clin Biochem        ISSN: 0970-1915


  37 in total

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Journal:  Pediatr Diabetes       Date:  2002-03       Impact factor: 4.866

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Journal:  Vet Pathol       Date:  2003-03       Impact factor: 2.221

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  3 in total

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Authors:  Henry Asare-Anane; Felix Twum; Emmanuel Kwaku Ofori; Erving L Torgbor; Seth D Amanquah; Charlotte Osafo
Journal:  Dis Markers       Date:  2016-08-09       Impact factor: 3.434

2.  Type 1 Diabetes: Urinary Proteomics and Protein Network Analysis Support Perturbation of Lysosomal Function.

Authors:  Harinder Singh; Yanbao Yu; Moo-Jin Suh; Manolito G Torralba; Robert D Stenzel; Andrey Tovchigrechko; Vishal Thovarai; Derek M Harkins; Seesandra V Rajagopala; Whitney Osborne; Fran R Cogen; Paul B Kaplowitz; Karen E Nelson; Ramana Madupu; Rembert Pieper
Journal:  Theranostics       Date:  2017-07-07       Impact factor: 11.556

3.  Differential Urinary Proteome Analysis for Predicting Prognosis in Type 2 Diabetes Patients with and without Renal Dysfunction.

Authors:  Hee-Sung Ahn; Jong Ho Kim; Hwangkyo Jeong; Jiyoung Yu; Jeonghun Yeom; Sang Heon Song; Sang Soo Kim; In Joo Kim; Kyunggon Kim
Journal:  Int J Mol Sci       Date:  2020-06-14       Impact factor: 5.923

  3 in total

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