Literature DB >> 29095812

Moonlighting newborn screening markers: the incidental discovery of a second-tier test for Pompe disease.

Silvia Tortorelli1, Jason S Eckerman2, Joseph J Orsini3, Colleen Stevens3, Jeremy Hart4,5, Patricia L Hall6,7, John J Alexander6,7, Dimitar Gavrilov2, Devin Oglesbee2, Kimiyo Raymond2, Dietrich Matern2, Piero Rinaldo2.   

Abstract

PURPOSE: To describe a novel biochemical marker in dried blood spots suitable to improve the specificity of newborn screening for Pompe disease.
METHODS: The new marker is a ratio calculated between the creatine/creatinine (Cre/Crn) ratio as the numerator and the activity of acid α-glucosidase (GAA) as the denominator. Using Collaborative Laboratory Integrated Reports (CLIR), the new marker was incorporated in a dual scatter plot that can achieve almost complete segregation between Pompe disease and false-positive cases.
RESULTS: The (Cre/Crn)/GAA ratio was measured in residual dried blood spots of five Pompe cases and was found to be elevated (range 4.41-13.26; 99%ile of neonatal controls: 1.10). Verification was by analysis of 39 blinded specimens that included 10 controls, 24 samples with a definitive classification (16 Pompe, 8 false positives), and 5 with genotypes of uncertain significance. The CLIR tool showed 100% concordance of classification for the 24 known cases. Of the remaining five cases, three p.V222M homozygotes, a benign variant, were classified by CLIR as false positives; two with genotypes of unknown significance, one likely informative, were categorized as Pompe disease.
CONCLUSION: The CLIR tool inclusive of the new ratio could have prevented at least 12 of 13 (92%) false-positive outcomes.

Entities:  

Keywords:  Collaborative Laboratory Integrated Reports; Pompe disease; creatine; newborn screening; second-tier test

Mesh:

Substances:

Year:  2017        PMID: 29095812     DOI: 10.1038/gim.2017.190

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


  9 in total

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Authors:  Yin-Hsiu Chien; Wuh-Liang Hwu; Ni-Chung Lee
Journal:  Ann Transl Med       Date:  2019-07

2.  Second Tier Molecular Genetic Testing in Newborn Screening for Pompe Disease: Landscape and Challenges.

Authors:  Laurie D Smith; Matthew N Bainbridge; Richard B Parad; Arindam Bhattacharjee
Journal:  Int J Neonatal Screen       Date:  2020-04-05

3.  Cardiac Murmur in a Boy with Normal Paternal Prenatal Carrier Screening for Pompe Disease.

Authors:  Allison M Jay; Premchand Anne; David Stockton
Journal:  Case Rep Pediatr       Date:  2019-12-12

4.  Newborn Screening for Long-Chain 3-Hydroxyacyl-CoA Dehydrogenase and Mitochondrial Trifunctional Protein Deficiencies Using Acylcarnitines Measurement in Dried Blood Spots-A Systematic Review of Test Accuracy.

Authors:  Chris Stinton; Hannah Fraser; Julia Geppert; Rebecca Johnson; Martin Connock; Samantha Johnson; Aileen Clarke; Sian Taylor-Phillips
Journal:  Front Pediatr       Date:  2021-03-19       Impact factor: 3.418

5.  A Novel Approach to Improve Newborn Screening for Congenital Hypothyroidism by Integrating Covariate-Adjusted Results of Different Tests into CLIR Customized Interpretive Tools.

Authors:  Alexander D Rowe; Stephanie D Stoway; Henrik Åhlman; Vaneet Arora; Michele Caggana; Anna Fornari; Arthur Hagar; Patricia L Hall; Gregg C Marquardt; Bobby J Miller; Christopher Nixon; Andrew P Norgan; Joseph J Orsini; Rolf D Pettersen; Amy L Piazza; Neil R Schubauer; Amy C Smith; Hao Tang; Norma P Tavakoli; Sainan Wei; Rolf H Zetterström; Robert J Currier; Lars Mørkrid; Piero Rinaldo
Journal:  Int J Neonatal Screen       Date:  2021-04-23

6.  dbRUSP: An Interactive Database to Investigate Inborn Metabolic Differences for Improved Genetic Disease Screening.

Authors:  Gang Peng; Yunxuan Zhang; Hongyu Zhao; Curt Scharfe
Journal:  Int J Neonatal Screen       Date:  2022-08-29

7.  Utilizing augmented artificial intelligence for aminoacidopathies using collaborative laboratory integrated reporting- A cross-sectional study.

Authors:  Zaib Un Nisa Khan; Lena Jafri; Patricia L Hall; Matthew J Schultz; Sibtain Ahmed; Aysha Habib Khan; Hafsa Majid
Journal:  Ann Med Surg (Lond)       Date:  2022-09-23

8.  Reducing False-Positive Results in Newborn Screening Using Machine Learning.

Authors:  Gang Peng; Yishuo Tang; Tina M Cowan; Gregory M Enns; Hongyu Zhao; Curt Scharfe
Journal:  Int J Neonatal Screen       Date:  2020-03-03

9.  Ethnic variability in newborn metabolic screening markers associated with false-positive outcomes.

Authors:  Gang Peng; Yishuo Tang; Neeru Gandotra; Gregory M Enns; Tina M Cowan; Hongyu Zhao; Curt Scharfe
Journal:  J Inherit Metab Dis       Date:  2020-04-17       Impact factor: 4.982

  9 in total

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