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Sheth H, Nair A, Bhavsar R, Kamate M, Gowda VK, Bavdekar A, Kadam S, Nampoothiri S, Panigrahi I, Kaur A, Shah S, Mehta S, Jagadeesan S, Suresh I, Kapoor S, Bajaj S, Devi RR, Prajapati A, Godbole K, Patel H, Luhar Z, Shah RC, Iyer A, Bijarnia S, Puri R, Muranjan M, Shah A, Magar S, Gupta N, Tayade N, Gandhi A, Sowani A, Kale S, Jalan A, Solanki D, Dalal A, Mane S, Prabha CR, Sheth F, Joshi CG, Joshi M, Sheth J. Development, validation and application of single molecule molecular inversion probe based novel integrated genetic screening method for 29 common lysosomal storage disorders in India. Hum Genomics 2024; 18:46. [PMID: 38730490 PMCID: PMC11088154 DOI: 10.1186/s40246-024-00613-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 05/01/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Current clinical diagnosis pathway for lysosomal storage disorders (LSDs) involves sequential biochemical enzymatic tests followed by DNA sequencing, which is iterative, has low diagnostic yield and is costly due to overlapping clinical presentations. Here, we describe a novel low-cost and high-throughput sequencing assay using single-molecule molecular inversion probes (smMIPs) to screen for causative single nucleotide variants (SNVs) and copy number variants (CNVs) in genes associated with 29 common LSDs in India. RESULTS 903 smMIPs were designed to target exon and exon-intron boundaries of targeted genes (n = 23; 53.7 kb of the human genome) and were equimolarly pooled to create a sequencing library. After extensive validation in a cohort of 50 patients, we screened 300 patients with either biochemical diagnosis (n = 187) or clinical suspicion (n = 113) of LSDs. A diagnostic yield of 83.4% was observed in patients with prior biochemical diagnosis of LSD. Furthermore, diagnostic yield of 73.9% (n = 54/73) was observed in patients with high clinical suspicion of LSD in contrast with 2.4% (n = 1/40) in patients with low clinical suspicion of LSD. In addition to detecting SNVs, the assay could detect single and multi-exon copy number variants with high confidence. Critically, Niemann-Pick disease type C and neuronal ceroid lipofuscinosis-6 diseases for which biochemical testing is unavailable, could be diagnosed using our assay. Lastly, we observed a non-inferior performance of the assay in DNA extracted from dried blood spots in comparison with whole blood. CONCLUSION We developed a flexible and scalable assay to reliably detect genetic causes of 29 common LSDs in India. The assay consolidates the detection of multiple variant types in multiple sample types while having improved diagnostic yield at same or lower cost compared to current clinical paradigm.
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Affiliation(s)
- Harsh Sheth
- FRIGE Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, India, 380015.
| | - Aadhira Nair
- FRIGE Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, India, 380015
| | - Riddhi Bhavsar
- FRIGE Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, India, 380015
| | - Mahesh Kamate
- KLES Prabhakar Kore Hospital, Belgaum, Karnataka, India
| | - Vykuntaraju K Gowda
- Department of Pediatric Neurology, Indira Gandhi Institute of Child Health, Bangalore, India
| | | | - Sandeep Kadam
- Department of Pediatrics, K.E.M Hospital, Pune, India
| | | | - Inusha Panigrahi
- Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Anupriya Kaur
- Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Siddharth Shah
- Royal Institute of Child Neurosciences, Vastrapur, Ahmedabad, India
| | - Sanjeev Mehta
- Royal Institute of Child Neurosciences, Vastrapur, Ahmedabad, India
| | - Sujatha Jagadeesan
- Department of Clinical Genetics and Genetic Counselling, Mediscan Systems, Chennai, India
| | - Indrani Suresh
- Department of Clinical Genetics and Genetic Counselling, Mediscan Systems, Chennai, India
| | - Seema Kapoor
- Division of Genetics and Metabolism Department of Pediatrics, Lok Nayak Hospital and Maulana Azad Medical College, New Delhi, India
| | - Shruti Bajaj
- The Purple Gene Clinic, Simplex Khushaangan, SV Road, Malad West, Mumbai, India
| | | | | | - Koumudi Godbole
- Deenanath Mangeshkar Hospital &Amp; Research Centre, Pune, India
| | - Harsh Patel
- Zydus Hospital & Healthcare Research Pvt Ltd, Ahmedabad, India
| | | | - Raju C Shah
- Ankur Institute of Child Health, Ahmedabad, India
| | | | - Sunita Bijarnia
- Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India
| | - Ratna Puri
- Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India
| | - Mamta Muranjan
- Department of Paediatrics, KEM Hospital, Parel, Mumbai, India
| | - Ami Shah
- BJ Wadia Hospital for Children, Parel, Mumbai, India
| | | | - Neerja Gupta
- Division of Genetics, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Naresh Tayade
- Department of Pediatrics, Dr. Panjabrao Deshmukh Memorial Medical College, Amravati, India
| | | | - Ajit Sowani
- Zydus Hospital & Healthcare Research Pvt Ltd, Ahmedabad, India
| | - Shrutikaa Kale
- FRIGE Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, India, 380015
| | | | - Dhaval Solanki
- Mantra Child Neurology and Epilepsy Hospital, Bhavnagar, India
| | - Ashwin Dalal
- Diagnostics Division, Centre for DNA Fingerprinting and Diagnostics, Hyderabad, India
| | - Shrikant Mane
- Department of Genetics, Yale School of Medicine, Yale Center for Genome Analysis, West Haven, CT, USA
| | - C Ratna Prabha
- Department of Biochemistry, Faculty of Science, The M. S. University of Baroda, Vadodara, India
| | - Frenny Sheth
- FRIGE Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, India, 380015
| | | | - Madhvi Joshi
- Gujarat Biotechnology Research Centre, Gandhinagar, Gujarat, India
| | - Jayesh Sheth
- FRIGE Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, India, 380015.
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Encarnação M, Ribeiro I, David H, Coutinho MF, Quelhas D, Alves S. Challenges in the Definitive Diagnosis of Niemann-Pick Type C-Leaky Variants and Alternative Transcripts. Genes (Basel) 2023; 14:1990. [PMID: 38002933 PMCID: PMC10671040 DOI: 10.3390/genes14111990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 10/17/2023] [Accepted: 10/23/2023] [Indexed: 11/26/2023] Open
Abstract
Niemann-Pick type C (NPC, ORPHA: 646) is a neuro-visceral, psychiatric disease caused predominantly by pathogenic variants in the NPC1 gene or seldom in NPC2. The rarity of the disease, and its wide range of clinical phenotypes and ages of onset, turn the diagnosis into a significant challenge. Other than the detailed clinical history, the typical diagnostic work-up for NPC includes the quantification of pathognomonic metabolites. However, the molecular basis diagnosis is still of utmost importance to fully characterize the disorder. Here, the authors provide an overview of splicing variants in the NPC1 and NPC2 genes and propose a new workflow for NPC diagnosis. Splicing variants cover a significant part of the disease-causing variants in NPC. The authors used cDNA analysis to study the impact of such variants, including the collection of data to classify them as leaky or non-leaky pathogenic variants. However, the presence of naturally occurring spliced transcripts can misdiagnose or mask a pathogenic variant and make the analysis even more difficult. Analysis of the NPC1 cDNA in NPC patients in parallel with controls is vital to assess and detect alternatively spliced forms. Moreover, nonsense-mediated mRNA decay (NMD) analysis plays an essential role in evaluating the naturally occurring transcripts during cDNA analysis and distinguishing them from other pathogenic variants' associated transcripts.
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Affiliation(s)
- Marisa Encarnação
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.E.); (H.D.); (M.F.C.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Isaura Ribeiro
- Laboratório de Bioquímica Genética, Serviço de Genética Laboratorial, Centro de Genética Médica Jacinto Magalhães, Centro Hospitalar e Universitário de Santo António (CHUdSA), 4099-001 Porto, Portugal; (I.R.); (D.Q.)
- UMIB-Unit for Multidisciplinary Research in Biomedicine, ICBAS, University of Porto, 4099-002 Porto, Portugal
- ITR—Laboratory for Integrative and Translational Research in Population Health, 4050-600 Porto, Portugal
| | - Hugo David
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.E.); (H.D.); (M.F.C.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
- Biology Department, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
| | - Maria Francisca Coutinho
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.E.); (H.D.); (M.F.C.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Dulce Quelhas
- Laboratório de Bioquímica Genética, Serviço de Genética Laboratorial, Centro de Genética Médica Jacinto Magalhães, Centro Hospitalar e Universitário de Santo António (CHUdSA), 4099-001 Porto, Portugal; (I.R.); (D.Q.)
- UMIB-Unit for Multidisciplinary Research in Biomedicine, ICBAS, University of Porto, 4099-002 Porto, Portugal
- ITR—Laboratory for Integrative and Translational Research in Population Health, 4050-600 Porto, Portugal
| | - Sandra Alves
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.E.); (H.D.); (M.F.C.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
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Encarnação M, David H, Coutinho MF, Moreira L, Alves S. MicroRNA Profile, Putative Diagnostic Biomarkers and RNA-Based Therapies in the Inherited Lipid Storage Disease Niemann-Pick Type C. Biomedicines 2023; 11:2615. [PMID: 37892989 PMCID: PMC10604387 DOI: 10.3390/biomedicines11102615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/14/2023] [Accepted: 09/21/2023] [Indexed: 10/29/2023] Open
Abstract
Lipids are essential for cellular function and are tightly controlled at the transcriptional and post-transcriptional levels. Dysregulation of these pathways is associated with vascular diseases, diabetes, cancer, and several inherited metabolic disorders. MicroRNAs (miRNAs), in particular, are a family of post-transcriptional gene repressors associated with the regulation of many genes that encode proteins involved in multiple lipid metabolism pathways, thereby influencing their homeostasis. Thus, this class of non-coding RNAs (ncRNAs) has emerged as a promising therapeutic target for the treatment of lipid-related metabolic alterations. Most of these miRNAs act at an intracellular level, but in the past few years, a role for miRNAs as intercellular signaling molecules has also been uncovered since they can be transported in bodily fluids and used as potential biomarkers of lipid metabolic alterations. In this review, we point out the current knowledge on the miRNA signature in a lysosomal storage disorder associated with lipid dysfunction, Niemann-Pick type C, and discuss the potential use of miRNAs as biomarkers and therapeutic targets for RNA-based therapies.
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Affiliation(s)
- Marisa Encarnação
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano 321, 4000-055 Porto, Portugal; (H.D.); (M.F.C.); (L.M.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Hugo David
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano 321, 4000-055 Porto, Portugal; (H.D.); (M.F.C.); (L.M.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
- Biology Department, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
| | - Maria Francisca Coutinho
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano 321, 4000-055 Porto, Portugal; (H.D.); (M.F.C.); (L.M.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Luciana Moreira
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano 321, 4000-055 Porto, Portugal; (H.D.); (M.F.C.); (L.M.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Sandra Alves
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano 321, 4000-055 Porto, Portugal; (H.D.); (M.F.C.); (L.M.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
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Hammerschmidt TG, Encarnação M, Lamberty Faverzani J, de Fátima Lopes F, Poswar de Oliveira F, Fischinger Moura de Sousa C, Ribeiro I, Alves S, Giugliani R, Regla Vargas C. Molecular profile and peripheral markers of neurodegeneration in patients with Niemann-Pick type C: Decrease in Plasminogen Activator Inhibitor type 1 and Platelet-Derived Growth Factor type AA. Arch Biochem Biophys 2023; 735:109510. [PMID: 36608914 DOI: 10.1016/j.abb.2023.109510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 12/19/2022] [Accepted: 01/02/2023] [Indexed: 01/05/2023]
Abstract
Niemann-Pick type C1 (NPC1) is a fatal inherited disease, caused by pathogenic variants in NPC1 gene, which leads to intracellular accumulation of non-esterified cholesterol and glycosphingolipids. This accumulation leads to a wide range of clinical manifestations, including neurological and cognitive impairment as well as psychiatric disorders. The pathophysiology of cerebral damage involves loss of Purkinje cells, synaptic disturbance, and demyelination. Miglustat, a reversible inhibitor of glucosylceramide synthase, is an approved treatment for NPC1 and can slow neurological damage. The aim of this study was to assess the levels of peripheric neurodegeneration biomarkers of NPC1 patients, namely brain-derived neurotrophic factor (BDNF), platelet-derived growth factors (PDGF-AA and PDGF-AB/BB), neural cell adhesion molecule (NCAM), PAI-1 Total and Cathepsin-D, as well as the levels of cholestane-3β,5α,6β-triol (3β,5α,6β-triol), a biomarker for NPC1. Molecular analysis of the NPC1 patients under study was performed by next generation sequencing (NGS) in cultured fibroblasts. We observed that NPC1 patients treated with miglustat have a significant decrease in PAI-1 total and PDGF-AA concentrations, and no alteration in BDNF, NCAM, PDGF-AB/BB and Cathepsin D. We also found that NPC1 patients treated with miglustat have normalized levels of 3β,5α,6β-triol. The molecular analysis showed four described mutations, and for two patients was not possible to identify the second mutated allele. Our results indicate that the decrease of PAI-1 and PDGF-AA in NPC1 patients could be involved in the pathophysiology of this disease. This is the first work to analyze those plasmatic markers of neurodegenerative processes in NPC1 patients.
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Affiliation(s)
| | - Marisa Encarnação
- Research & Development Unit, Human Genetics Department, National Institute of Health Doutor Ricardo Jorge, Porto, Portugal
| | - Jéssica Lamberty Faverzani
- Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Franciele de Fátima Lopes
- Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Serviço de Genética Médica, HCPA, Porto Alegre, Brazil
| | | | | | - Isaura Ribeiro
- Unidade de Bioquímica Genética, Centro de Genética Médica, Centro Hospitalar Universitário do Porto, Porto, Portugal; Unit for Multidisciplinary Research in Biomedicine, ICBAS-UP, Porto, Portugal; Espero Centro Referência Doenças Hereditárias do Metabolismo, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Sandra Alves
- Research & Development Unit, Human Genetics Department, National Institute of Health Doutor Ricardo Jorge, Porto, Portugal
| | | | - Carmen Regla Vargas
- Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Serviço de Genética Médica, HCPA, Porto Alegre, Brazil.
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A Comprehensive, Targeted NGS Approach to Assessing Molecular Diagnosis of Lysosomal Storage Diseases. Genes (Basel) 2021; 12:genes12111750. [PMID: 34828358 PMCID: PMC8617937 DOI: 10.3390/genes12111750] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 10/25/2021] [Accepted: 10/27/2021] [Indexed: 01/20/2023] Open
Abstract
With over 60 different disorders and a combined incidence occurring in 1:5000-7000 live births, lysosomal storage diseases (LSDs) represent a major public health problem and constitute an enormous burden for affected individuals and their families. Several reasons make the diagnosis of LSDs an arduous task for clinicians, including the phenotype and penetrance variability, the shared signs and symptoms, and the uncertainties related to biochemical enzymatic assay results. Developing a powerful diagnostic tool based on next generation sequencing (NGS) technology may help reduce the delayed diagnostic process for these families, leading to better outcomes for current therapies and providing the basis for more appropriate genetic counseling. Herein, we employed a targeted NGS-based panel to scan the coding regions of 65 LSD-causative genes. A reference group sample (n = 26) with previously known genetic mutations was used to test and validate the entire workflow. Our approach demonstrated elevated analytical accuracy, sensitivity, and specificity. We believe the adoption of comprehensive targeted sequencing strategies into a routine diagnostic route may accelerate both the identification and management of LSDs with overlapping clinical profiles, producing a significant reduction in delayed diagnostic response with beneficial results in the treatment outcome.
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La Cognata V, Guarnaccia M, Morello G, Ruggieri M, Polizzi A, Cavallaro S. Design and Validation of a Custom NGS Panel Targeting a Set of Lysosomal Storage Diseases Candidate for NBS Applications. Int J Mol Sci 2021; 22:ijms221810064. [PMID: 34576242 PMCID: PMC8470217 DOI: 10.3390/ijms221810064] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 09/02/2021] [Accepted: 09/14/2021] [Indexed: 01/25/2023] Open
Abstract
Lysosomal storage diseases (LSDs) are a heterogeneous group of approximately 70 monogenic metabolic disorders whose diagnosis represents an arduous challenge for clinicians due to their variability in phenotype penetrance, clinical manifestations, and high allelic heterogeneity. In recent years, the approval of disease-specific therapies and the rapid emergence of novel rapid diagnostic methods has opened, for a set of selected LSDs, the possibility for inclusion in extensive national newborn screening (NBS) programs. Herein, we evaluated the clinical utility and diagnostic validity of a targeted next-generation sequencing (tNGS) panel (called NBS_LSDs), designed ad hoc to scan the coding regions of six genes (GBA, GAA, SMPD1, IDUA1, GLA, GALC) relevant for a group of LSDs candidate for inclusion in national NBS programs (MPSI, Pompe, Fabry, Krabbe, Niemann Pick A-B and Gaucher diseases). A standard group of 15 samples with previously known genetic mutations was used to test and validate the entire flowchart. Analytical accuracy, sensitivity, and specificity, as well as turnaround time and costs, were assessed. Results showed that the Ion AmpliSeq and Ion Chef System-based high-throughput NBS_LSDs tNGS panel is a fast, accurate, and cost-effective process. The introduction of this technology into routine NBS procedures as a second-tier test along with primary biochemical assays will allow facilitating the identification and management of selected LSDs and reducing diagnostic delay.
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Affiliation(s)
- Valentina La Cognata
- Institute for Biomedical Research and Innovation, National Research Council, 95126 Catania, Italy; (V.L.C.); (M.G.); (G.M.)
| | - Maria Guarnaccia
- Institute for Biomedical Research and Innovation, National Research Council, 95126 Catania, Italy; (V.L.C.); (M.G.); (G.M.)
| | - Giovanna Morello
- Institute for Biomedical Research and Innovation, National Research Council, 95126 Catania, Italy; (V.L.C.); (M.G.); (G.M.)
| | - Martino Ruggieri
- Unit of Rare Diseases of the Nervous System in Childhood, Department of Clinical and Experimental Medicine, Section of Pediatrics and Child Neuropsychiatry, AOU “Policlinico”, PO “G. Rodolico”, 95123 Catania, Italy;
| | - Agata Polizzi
- Department of Educational Sciences, University of Catania, 95124 Catania, Italy;
| | - Sebastiano Cavallaro
- Institute for Biomedical Research and Innovation, National Research Council, 95126 Catania, Italy; (V.L.C.); (M.G.); (G.M.)
- Correspondence: ; Tel.: +39-095-733-8111; Fax: +39-095-733-8110
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Next-Generation Molecular Investigations in Lysosomal Diseases: Clinical Integration of a Comprehensive Targeted Panel. Diagnostics (Basel) 2021; 11:diagnostics11020294. [PMID: 33673364 PMCID: PMC7918778 DOI: 10.3390/diagnostics11020294] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 02/06/2021] [Accepted: 02/08/2021] [Indexed: 12/13/2022] Open
Abstract
Diagnosis of lysosomal disorders (LDs) may be hampered by their clinical heterogeneity, phenotypic overlap, and variable age at onset. Conventional biological diagnostic procedures are based on a series of sequential investigations and require multiple sampling. Early diagnosis may allow for timely treatment and prevent clinical complications. In order to improve LDs diagnosis, we developed a capture-based next generation sequencing (NGS) panel allowing the detection of single nucleotide variants (SNVs), small insertions and deletions, and copy number variants (CNVs) in 51 genes related to LDs. The design of the LD panel covered at least coding regions, promoter region, and flanking intronic sequences for 51 genes. The validation of this panel consisted in testing 21 well-characterized samples and evaluating analytical and diagnostic performance metrics. Bioinformatics pipelines have been validated for SNVs, indels and CNVs. The clinical output of this panel was tested in five novel cases. This capture-based NGS panel provides an average coverage depth of 474× which allows the detection of SNVs and CNVs in one comprehensive assay. All the targeted regions were covered above the minimum required depth of 30×. To illustrate the clinical utility, five novel cases have been sequenced using this panel and the identified variants have been confirmed using Sanger sequencing or quantitative multiplex PCR of short fluorescent fragments (QMPSF). The application of NGS as first-line approach to analyze suspected LD cases may speed up the identification of alterations in LD-associated genes. NGS approaches combined with bioinformatics analyses, are a useful and cost-effective tool for identifying the causative variations in LDs.
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