Evidence map›Paper›PMID 35086560›Full record

ArticleHereditas2022

Identification of novel mutations among Iranian NPC1 patients: a bioinformatics approach to predict pathogenic mutations.

Rezvan Abtahi, Parvaneh Karimzadeh, Omid Aryani, Diba Akbarzadeh, Shadab Salehpour, Alireza Rezayi, Seyed Hassan Tonekaboni, Reza Zolfaghari Emameh, Massoud Houshmand

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Article in Hereditas, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Rezvan AbtahiDepartment of Medical Genetics, National Institute for Genetic Engineering and Biotechnology, (NIGEB), 14965/161, Tehran, Iran.
Parvaneh KarimzadehPediatric Neurology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Omid AryaniSpecial Medical Center, Tehran, Iran.
Diba AkbarzadehStudent's Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shadab SalehpourDepartment of Pediatric Endocrinology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Alireza RezayiDepartment of Pediatrics Neurology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Seyed Hassan TonekaboniPediatric Neurology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Reza Zolfaghari EmamehDepartment of Energy and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), 14965/161, Tehran, Iran.
Massoud HoushmandDepartment of Medical Genetics, National Institute for Genetic Engineering and Biotechnology, (NIGEB), 14965/161, Tehran, Iran. housh62@yahoo.com.ORCID http://orcid.org/0000-0002-2198-223X
Shahid Beheshti University of Medical Sciences · IRNational Institute of Genetic Engineering and Biotechnology · IRHawler Medical University · IQIran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNiemann-Pick disease type C (NPC) is a rare lysosomal neurovisceral storage disease caused by mutations in the NPC 1 (95%) or NPC2 (5%) genes. The products of NPC1 and NPC2 genes play considerable roles in glycolipid and cholesterol trafficking, which could consequently lead to NPC disease with variable phenotypes displaying a broad spectrum of symptoms. MATERIALS: In the present study 35 Iranian NPC unrelated patients were enrolled. These patients were first analysed by the Filipin Staining test of cholesterol deposits in cells for NPC diagnostics. Genomic DNA was extracted from the samples of peripheral blood leukocytes in EDTA following the manufacturer's protocol. All exon-intron boundaries and coding exons of the NPC1gene were amplified by polymerase chain reaction (PCR) using appropriate sets of primers. Thereafter, the products of PCR were sequenced and analysed using the NCBI database ( https://blast.ncbi.nlm.nih.gov/Blast.cgi ). The variants were reviewed by some databases including the Human Gene Mutation Database (HGMD) ( http://www.hgmd.cf.ac.uk/ac/index.php ) and ClinVar ( https://www.ncbi.nlm.nih.gov/clinvar (. Moreover, all the variants were manually classified in terms of the American College of Medical Genetics and Genomics (ACMG) guideline.

resultsThe sequence analysis revealed 20 different variations, 10 of which are new, including one nonsense mutation (c.406C > T); three small deletions, (c.3126delC, c.2920_2923delCCTG, and c.2037delG); and six likely pathogenic missense mutations, (c.542C > A, c.1970G > A, c.1993C > G, c.2821 T > C, c.2872C > G, and c.3632 T > A). Finally, the pathogenicity of these new variants was determined using the ACMG guidelines.

conclusionThe present study aimed to facilitate the prenatal diagnosis of NPC patients in the future. In this regard, we identified 10 novel mutations, and verified that the majority of them occurred in six NPC1 exons (5, 8, 9, 13, 19, and 21), that should be considered with a high priority for Iranian patients' cost-effective evaluation.

Indexed as

Computational BiologyNiemann-Pick Disease, Type CExonsHumansIranMutationNiemann-Pick C1 ProteinNiemann-Pick C1 ProteinNPC1 protein, humanMolecular StudyNew MutationNiemann-Pick C

Identifiers

PMID35086560
PMCPMC8793247
OpenAlexW4210658322

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