Literature DB >> 11825064

Urinary glycosaminoglycan excretion quantified by an automated semimicro method in specimens conveniently transported from around the globe.

Chester B Whitley1, Richard C Spielmann, Gerrard Herro, Suzanne Severson Teragawa.   

Abstract

Current and future treatments for children with mucopolysaccharidosis (MPS) diseases require early, presymptomatic diagnosis, yet existing diagnostic methods to quantitate urinary glycosaminoglycan (GAG) are labor-intensive, and thus not applicable for newborn screening. Direct and rapid quantification of GAG excretion with 1,9-dimethylmethylene blue (DMB) is applicable to small volumes of urine collected, dried, and mailed on a paper matrix (MPS Test). To determine if this assay could be automated, a robotic instrument was programmed to accomplish the procedure; the pilot method simultaneously determined GAG and creatinine concentrations in 10 patient specimens/run. Each analyte is measured in 4 dilutions, thus increasing the operating range to cover a broad spectrum of normal and pathologic levels. Samples and reagents are mixed in a 96-well tray format in approximately 20 min, and densitometric measurements are recorded in less than 60 s. Optical density measurements are electronically transmitted to a desktop computer to select optimal dilutions, identify values above or below the level of reliability, make calculations, and print reports. This automated method was applied to 255 specimens from 101 subjects representing each of the MPS diseases--specifically, types I (n = 126), II (n = 47), III (n = 48), IV (n = 17), VI (n = 14) and VII (n = 3). This method discriminated pathologic elevations of GAG excretion of MPS patients particularly when multiple specimens were available. Patients with non-MPS lysosomal diseases had normal GAG excretion, except for a patient with fucosidosis who had markedly elevated levels. Automation of the direct DMB method provides the key technology necessary for newborn screening for MPS diseases. (C)2002 Elsevier Science (USA).

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Year:  2002        PMID: 11825064     DOI: 10.1006/mgme.2001.3271

Source DB:  PubMed          Journal:  Mol Genet Metab        ISSN: 1096-7192            Impact factor:   4.797


  11 in total

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Journal:  Biol Blood Marrow Transplant       Date:  2019-02-14       Impact factor: 5.742

2.  Reliability of a visual test for the rapid detection of mucopolysaccharidoses: GAG-test(®).

Authors:  Sergio Lage; José A Prieto; Fernando Andrade; Amaia Sojo; Pablo Sanjurjo; Luis J Aldámiz-Echevarría
Journal:  J Clin Lab Anal       Date:  2011       Impact factor: 2.352

3.  Neonatal screening for mucopolysaccharidoses by determination of glycosaminoglycans in the eluate of urine-impregnated paper: preliminary results of an improved DMB-based procedure.

Authors:  J R Alonso-Fernández; J Fidalgo; C Colón
Journal:  J Clin Lab Anal       Date:  2010       Impact factor: 2.352

4.  Glycosaminoglycan levels in dried blood spots of patients with mucopolysaccharidoses and mucolipidoses.

Authors:  Francyne Kubaski; Yasuyuki Suzuki; Kenji Orii; Roberto Giugliani; Heather J Church; Robert W Mason; Vũ Chí Dũng; Can Thi Bich Ngoc; Seiji Yamaguchi; Hironori Kobayashi; Katta M Girisha; Toshiyuki Fukao; Tadao Orii; Shunji Tomatsu
Journal:  Mol Genet Metab       Date:  2016-12-22       Impact factor: 4.797

5.  Age-related functional and histopathological changes of the ear in the MPS I mouse.

Authors:  Patricia A Schachern; Sebahattin Cureoglu; Vladimir Tsuprun; Michael M Paparella; Chester B Whitley
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6.  Dermatan sulfate and heparan sulfate as a biomarker for mucopolysaccharidosis I.

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Journal:  J Inherit Metab Dis       Date:  2010-02-17       Impact factor: 4.982

7.  Novel heparan sulfate assay by using automated high-throughput mass spectrometry: Application to monitoring and screening for mucopolysaccharidoses.

Authors:  Tsutomu Shimada; Joan Kelly; William A LaMarr; Naomi van Vlies; Eriko Yasuda; Robert W Mason; William Mackenzie; Francyne Kubaski; Roberto Giugliani; Yasutsugu Chinen; Seiji Yamaguchi; Yasuyuki Suzuki; Kenji E Orii; Toshiyuki Fukao; Tadao Orii; Shunji Tomatsu
Journal:  Mol Genet Metab       Date:  2014-07-21       Impact factor: 4.797

Review 8.  Newborn screening and diagnosis of mucopolysaccharidoses.

Authors:  Shunji Tomatsu; Tadashi Fujii; Masaru Fukushi; Toshihiro Oguma; Tsutomu Shimada; Miho Maeda; Kazuhiro Kida; Yuniko Shibata; Hideyuki Futatsumori; Adriana M Montaño; Robert W Mason; Seiji Yamaguchi; Yasuyuki Suzuki; Tadao Orii
Journal:  Mol Genet Metab       Date:  2013-06-21       Impact factor: 4.797

9.  Validation of Urinary Glycosaminoglycans in Iranian patients with Mucopolysaccharidase type I: The effect of urine sedimentation characteristics.

Authors:  Mohammad Abdi; Mohammad Said Hakhamaneshi; Mohammad Reza Alaei; Namam-Ali Azadi; Rahim Vakili; Daniel Zamanfar; Mohammad Taghikhani; Shohreh Khatami
Journal:  Iran J Child Neurol       Date:  2014

Review 10.  Representing glycophenotypes: semantic unification of glycobiology resources for disease discovery.

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Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

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