Literature DB >> 33214709

Toward newborn screening of metachromatic leukodystrophy: results from analysis of over 27,000 newborn dried blood spots.

Xinying Hong1, Jessica Daiker1, Martin Sadilek1, Nicole Ruiz-Schultz2, Arun Babu Kumar1, Stevie Norcross2, Warunee Dansithong2, Teryn Suhr3, Maria L Escolar4, C Ronald Scott5, Andreas Rohrwasser2, Michael H Gelb6,7.   

Abstract

PURPOSE: Metachromatic leukodystrophy (MLD) is a lysosomal storage disorder caused by the deficiency of arylsulfatase A (ARSA), which results in the accumulation of sulfatides. Newborn screening for MLD may be considered in the future as innovative treatments are advancing. We carried out a research study to assess the feasibility of screening MLD using dried blood spots (DBS) from de-identified newborns.
METHODS: To minimize the false-positive rate, a two-tier screening algorithm was designed. The primary test was to quantify C16:0-sulfatide in DBS by ultraperformance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The screening cutoff was established based on the results from 15 MLD newborns to achieve 100% sensitivity. The secondary test was to measure the ARSA activity in DBS from newborns with abnormal C16:0-sulfatide levels. Only newborns that displayed both abnormal C16:0-sulfatide abundance and ARSA activity were considered screen positives.
RESULTS: A total of 27,335 newborns were screened using this two-tier algorithm, and 2 high-risk cases were identified. ARSA gene sequencing identified these two high-risk subjects to be a MLD-affected patient and a heterozygote.
CONCLUSION: Our study demonstrates that newborn screening for MLD is highly feasible in a real-world scenario with near 100% assay specificity.

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Year:  2020        PMID: 33214709     DOI: 10.1038/s41436-020-01017-5

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  4 in total

1.  Identification of neurodegeneration indicators and disease progression in metachromatic leukodystrophy using quantitative NMR-based urinary metabolomics.

Authors:  Lucia Laugwitz; Laimdota Zizmare; Vidiyaah Santhanakumaran; Claire Cannet; Judith Böhringer; Jürgen G Okun; Manfred Spraul; Ingeborg Krägeloh-Mann; Samuel Groeschel; Christoph Trautwein
Journal:  JIMD Rep       Date:  2022-01-27

2.  Measurement of sulfatides in the amniotic fluid supernatant: A useful tool in the prenatal diagnosis of metachromatic leukodystrophy.

Authors:  Francyne Kubaski; Zackary M Herbst; Maira Graeff Burin; Kristiane Michelin-Tirelli; Franciele B Trapp; Rejane Gus; Alice B O Netto; Ana Carolina Brusius-Facchin; Sandra Leistner-Segal; Maria Teresa Sanseverino; Carolina Moura Fischinger de Souza; Matheus V M B Wilke; Thiago Oliveira; Jose A A Magalhães; Roberto Giugliani
Journal:  JIMD Rep       Date:  2022-01-19

Review 3.  Mammalian Sulfatases: Biochemistry, Disease Manifestation, and Therapy.

Authors:  Ryuichi Mashima; Mahito Nakanishi
Journal:  Int J Mol Sci       Date:  2022-07-24       Impact factor: 6.208

4.  Lentiviral haematopoietic stem-cell gene therapy for early-onset metachromatic leukodystrophy: long-term results from a non-randomised, open-label, phase 1/2 trial and expanded access.

Authors:  Francesca Fumagalli; Valeria Calbi; Maria Grazia Natali Sora; Maria Sessa; Cristina Baldoli; Paola Maria V Rancoita; Francesca Ciotti; Marina Sarzana; Maddalena Fraschini; Alberto Andrea Zambon; Serena Acquati; Daniela Redaelli; Vanessa Attanasio; Simona Miglietta; Fabiola De Mattia; Federica Barzaghi; Francesca Ferrua; Maddalena Migliavacca; Francesca Tucci; Vera Gallo; Ubaldo Del Carro; Sabrina Canale; Ivana Spiga; Laura Lorioli; Salvatore Recupero; Elena Sophia Fratini; Francesco Morena; Paolo Silvani; Maria Rosa Calvi; Marcella Facchini; Sara Locatelli; Ambra Corti; Stefano Zancan; Gigliola Antonioli; Giada Farinelli; Michela Gabaldo; Jesus Garcia-Segovia; Laetitia C Schwab; Gerald F Downey; Massimo Filippi; Maria Pia Cicalese; Sabata Martino; Clelia Di Serio; Fabio Ciceri; Maria Ester Bernardo; Luigi Naldini; Alessandra Biffi; Alessandro Aiuti
Journal:  Lancet       Date:  2022-01-22       Impact factor: 79.321

  4 in total

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