Literature DB >> 30737480

Homogentisate 1,2-dioxygenase (HGD) gene variants, their analysis and genotype-phenotype correlations in the largest cohort of patients with AKU.

David B Ascher1,2,3, Ottavia Spiga4, Martina Sekelska5, Douglas E V Pires2,3, Andrea Bernini4, Monica Tiezzi4, Jana Kralovicova6, Ivana Borovska6, Andrea Soltysova5,7, Birgitta Olsson8, Silvia Galderisi4, Vittoria Cicaloni4,9, Lakshminarayan Ranganath10, Annalisa Santucci4,11, Andrea Zatkova12.   

Abstract

Alkaptonuria (AKU) is a rare metabolic disorder caused by a deficient enzyme in the tyrosine degradation pathway, homogentisate 1,2-dioxygenase (HGD). In 172 AKU patients from 39 countries, we identified 28 novel variants of the HGD gene, which include three larger genomic deletions within this gene discovered via self-designed multiplex ligation-dependent probe amplification (MLPA) probes. In addition, using a reporter minigene assay, we provide evidence that three of eight tested variants potentially affecting splicing cause exon skipping or cryptic splice-site activation. Extensive bioinformatics analysis of novel missense variants, and of the entire HGD monomer, confirmed mCSM as an effective computational tool for evaluating possible enzyme inactivation mechanisms. For the first time for AKU, a genotype-phenotype correlation study was performed for the three most frequent HGD variants identified in the Suitability Of Nitisinone in Alkaptonuria 2 (SONIA2) study. We found a small but statistically significant difference in urinary homogentisic acid (HGA) excretion, corrected for dietary protein intake, between variants leading to 1% or >30% residual HGD activity. There was, interestingly, no difference in serum levels or absolute urinary excretion of HGA, or clinical symptoms, indicating that protein intake is more important than differences in HGD variants for the amounts of HGA that accumulate in the body of AKU patients.

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Year:  2019        PMID: 30737480      PMCID: PMC6777518          DOI: 10.1038/s41431-019-0354-0

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  16 in total

1.  mCSM-PPI2: predicting the effects of mutations on protein-protein interactions.

Authors:  Carlos H M Rodrigues; Yoochan Myung; Douglas E V Pires; David B Ascher
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

2.  mmCSM-AB: guiding rational antibody engineering through multiple point mutations.

Authors:  Yoochan Myung; Douglas E V Pires; David B Ascher
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

3.  ThermoMutDB: a thermodynamic database for missense mutations.

Authors:  Joicymara S Xavier; Thanh-Binh Nguyen; Malancha Karmarkar; Stephanie Portelli; Pâmela M Rezende; João P L Velloso; David B Ascher; Douglas E V Pires
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

4.  Frequency, diagnosis, pathogenesis and management of osteoporosis in alkaptonuria: data analysis from the UK National Alkaptonuria Centre.

Authors:  L R Ranganath; M Khedr; S Vinjamuri; J A Gallagher
Journal:  Osteoporos Int       Date:  2020-10-29       Impact factor: 4.507

Review 5.  A Mimic of Ankylosing Spondylitis, Ochronosis: Case Report and Review of the Literature.

Authors:  Philip Chu; Maria C Cuellar; Sonali J Bracken; Teresa K Tarrant
Journal:  Curr Allergy Asthma Rep       Date:  2021-03-05       Impact factor: 4.806

6.  Conditional targeting in mice reveals that hepatic homogentisate 1,2-dioxygenase activity is essential in reducing circulating homogentisic acid and for effective therapy in the genetic disease alkaptonuria.

Authors:  Juliette H Hughes; Ke Liu; Antonius Plagge; Peter J M Wilson; Hazel Sutherland; Brendan P Norman; Andrew T Hughes; Craig M Keenan; Anna M Milan; Takao Sakai; Lakshminarayan R Ranganath; James A Gallagher; George Bou-Gharios
Journal:  Hum Mol Genet       Date:  2019-12-01       Impact factor: 6.150

7.  Machine learning application for development of a data-driven predictive model able to investigate quality of life scores in a rare disease.

Authors:  Ottavia Spiga; Vittoria Cicaloni; Cosimo Fiorini; Alfonso Trezza; Anna Visibelli; Lia Millucci; Giulia Bernardini; Andrea Bernini; Barbara Marzocchi; Daniela Braconi; Filippo Prischi; Annalisa Santucci
Journal:  Orphanet J Rare Dis       Date:  2020-02-12       Impact factor: 4.123

Review 8.  Alkaptonuria: Current Perspectives.

Authors:  Andrea Zatkova; Lakshminarayan Ranganath; Ludevit Kadasi
Journal:  Appl Clin Genet       Date:  2020-01-23

9.  Variant Analysis of Alkaptonuria Families with Significant Founder Effect in Jordan.

Authors:  Raida Khalil; Dema Ali; Nesrin Mwafi; Arwa Alsaraireh; Loiy Obeidat; Eman Albsoul; Ibrahim Al Sbou'
Journal:  Biomed Res Int       Date:  2021-03-11       Impact factor: 3.411

10.  mCSM-membrane: predicting the effects of mutations on transmembrane proteins.

Authors:  Douglas E V Pires; Carlos H M Rodrigues; David B Ascher
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

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