Literature DB >> 32518427

Laboratory Diagnosis of Lysosomal Diseases: Newborn Screening to Treatment.

Maria Fuller1.   

Abstract

The goal of screening programs for inborn errors of metabolism (IEM) is early detection and timely intervention to significantly reduce morbidity, mortality and associated disabilities. Phenylketonuria exemplifies their success as neonates are identified at birth and then promptly treated allowing normal neurological development. Lysosomal diseases comprise about 50 IEM arising from a deficiency in a protein required for proper lysosomal function. Typically, these defects are in lysosomal enzymes with the concomitant accumulation of the enzyme's substrate as the cardinal feature. None of the lysosomal diseases are screened at birth in Australia and in the absence of a family history, traditional laboratory diagnosis of the majority, involves demonstrating a deficiency of the requisite enzyme. Diagnostic confusion can arise from interpretation of the degree of residual enzyme activity causative of disease and is impractical when the disorder is not due to an enzyme deficiency per se. Advances in mass spectrometry technologies has enabled simultaneous measurement of the enzymes' substrates and their metabolites which facilitates the efficiency of diagnosis. Employing urine chemistry as a reflection of multisystemic disease, individual lysosomal diseases can be identified by a characteristic substrate pattern complicit with the enzyme deficiency. Determination of lipids in plasma allows the diagnosis of a further class of lysosomal disorders, the sphingolipids. The ideal goal would be to measure biomarkers for each specific lysosomal disorder in the one mass spectrometry-based platform to achieve a diagnosis. Confirmation of the diagnosis is usually by identifying pathogenic variants in the underlying gene, and although molecular genetic technologies can provide the initial diagnosis, the biochemistry will remain important for interpreting molecular variants of uncertain significance.

Entities:  

Year:  2020        PMID: 32518427      PMCID: PMC7255311          DOI: 10.33176/AACB-19-00037

Source DB:  PubMed          Journal:  Clin Biochem Rev        ISSN: 0159-8090


  5 in total

1.  Detecting lysosomal storage disorders by glycomic profiling using liquid chromatography mass spectrometry.

Authors:  Justin Mak; Tina M Cowan
Journal:  Mol Genet Metab       Date:  2021-08-21       Impact factor: 4.204

2.  Establishment of Cutoff Values for Newborn Screening of Six Lysosomal Storage Disorders by Tandem Mass Spectrometry.

Authors:  Ruotong Li; Liping Tian; Qing Gao; Yuanfang Guo; Gaijie Li; Yulin Li; Meng Sun; Yan Yan; Qing Li; Wenying Nie; Hui Zou
Journal:  Front Pediatr       Date:  2022-03-28       Impact factor: 3.418

3.  Prevalence of lysosomal storage disorders in Australia from 2009 to 2020.

Authors:  Sharon J Chin; Maria Fuller
Journal:  Lancet Reg Health West Pac       Date:  2021-12-12

4.  An integrated multiomic approach as an excellent tool for the diagnosis of metabolic diseases: our first 3720 patients.

Authors:  Ligia S Almeida; Catarina Pereira; Ruxandra Aanicai; Sabine Schröder; Tomasz Bochinski; Anett Kaune; Alice Urzi; Tania C L S Spohr; Nikenza Viceconte; Sebastian Oppermann; Mohammed Alasel; Saeedeh Ebadat; Sana Iftikhar; Eresha Jasinge; Solaf M Elsayed; Hoda Tomoum; Iman Marzouk; Anil B Jalan; Agne Cerkauskaite; Rimante Cerkauskiene; Tinatin Tkemaladze; Anjum Muhammad Nadeem; Iman Gamal El Din Mahmoud; Fawzia Amer Mossad; Mona Kamel; Laila Abdel Selim; Huma Arshad Cheema; Omid Paknia; Claudia Cozma; Carlos Juaristi-Manrique; Pilar Guatibonza-Moreno; Tobias Böttcher; Florian Vogel; Jorge Pinto-Basto; Aida Bertoli-Avella; Peter Bauer
Journal:  Eur J Hum Genet       Date:  2022-05-25       Impact factor: 5.351

5.  PRDX1 gene-related epi-cblC disease is a common type of inborn error of cobalamin metabolism with mono- or bi-allelic MMACHC epimutations.

Authors:  Catia Cavicchi; Abderrahim Oussalah; Silvia Falliano; Lorenzo Ferri; Alessia Gozzini; Serena Gasperini; Serena Motta; Miriam Rigoldi; Giancarlo Parenti; Albina Tummolo; Concetta Meli; Francesca Menni; Francesca Furlan; Marta Daniotti; Sabrina Malvagia; Giancarlo la Marca; Céline Chery; Pierre-Emmanuel Morange; David Tregouet; Maria Alice Donati; Renzo Guerrini; Jean-Louis Guéant; Amelia Morrone
Journal:  Clin Epigenetics       Date:  2021-07-02       Impact factor: 6.551

  5 in total

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