PAH Pathogenic Variants and Clinical Correlations in a Group of Hyperphenylalaninemia Patients from North-Western Romania.
Alin IuhasClaudia JurcaKinga KozmaAnca-Lelia RizaIoana StreațăCodruta Diana PetchesiAndra DanCristian N SavaAndreea BalmoșCristian MarinăuLarisa NiulașMihai IoanaMarius BembeaPublished in: Diagnostics (Basel, Switzerland) (2023)
Phenylketonuria (PKU) is caused by mutations in the phenylalanine hydroxylase ( PAH ) gene and is characterized by altered amino acid metabolism. More than 1500 known PAH variants intricately determine a spectrum of metabolic phenotypes. We aim to report on clinical presentation and PAH variants identified in 23 hyperphenylalaninemia (HPA)/PKU Romanian patients. Our cohort exhibited classic PKU (73.9%, 17/23), mild PKU (17.4%, 4/23), and mild HPA (8.7%, 2/23). Severe central nervous system sequelae are frequent in our cohort in late-diagnosis symptomatic patients, which highlights yet again the significance of an early dietary treatment, neonatal screening and diagnosis, and facilitated access to treatment. Next-generation sequencing (NGS) identified a total of 11 PAH pathogenic variants, all previously reported, mostly missense changes (7/11) in important catalytic domains. c.1222C>T p.Arg408Trp was the most frequent variant, with an allele frequency of 56.5%. Twelve distinct genotypes were identified, the most frequent of which was p.Arg408Trp/p.Arg408Trp (34.8%, 8/23). Compound heterozygous genotypes were common (13/23), three of which had not been previously reported to the best of our knowledge; two correlated with cPKU and one showed an mPKU phenotype. Generally, there are genotype-phenotype correlation overlaps with the public data reported in BIOPKUdb; as our study shows, clinical correlates are subject to variation, in part due to uncontrolled or unknown epigenetic or environmental regulatory factors. We highlight the importance of establishing the genotype on top of using blood phenylalanine levels.
Keyphrases
- end stage renal disease
- copy number
- newly diagnosed
- chronic kidney disease
- ejection fraction
- peritoneal dialysis
- prognostic factors
- healthcare
- gene expression
- machine learning
- genome wide
- dna methylation
- emergency department
- risk assessment
- artificial intelligence
- mental health
- transcription factor
- amino acid
- deep learning