Evidence map›Paper›PMID 30668579›Full record

ArticlePloS one2019

Genotypes of 2579 patients with phenylketonuria reveal a high rate of BH4 non-responders in Russia.

Polina Gundorova, Anna A Stepanova, Irina A Kuznetsova, Sergey I Kutsev, Aleksander V Polyakov

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
  6. Spectrum ofBiomedical reports · 2025
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  7. Review
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  14. Mutation spectrum ofFrontiers in genetics · 2022
    Article
  15. Influencing Factors on the Use of Tetrahydrobiopterin in Patients with Phenylketonuria.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  16. An UpdatedGenes · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. The Genetic Landscape and Epidemiology of Phenylketonuria.American journal of human genetics · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Polina GundorovaLaboratory of DNA-diagnostics, Federal State Budgetary Institution, Research Centre for Medical Genetics, Moscow, Russia.ORCID 0000-0001-8703-7997
Anna A StepanovaLaboratory of DNA-diagnostics, Federal State Budgetary Institution, Research Centre for Medical Genetics, Moscow, Russia.
Irina A KuznetsovaLaboratory of DNA-diagnostics, Federal State Budgetary Institution, Research Centre for Medical Genetics, Moscow, Russia.
Sergey I KutsevDirectorate, Federal State Budgetary Institution, Research Centre for Medical Genetics, Moscow, Russia.
Aleksander V PolyakovLaboratory of DNA-diagnostics, Federal State Budgetary Institution, Research Centre for Medical Genetics, Moscow, Russia.
Research Centre for Medical Genetics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenylalanine hydroxylase (PAH) deficiency is responsible for most cases of phenylketonuria (PKU). Furthermore, numerous studies on BH4-sensitive PAH deficiency have been conducted. To date, BH4, a cofactor of PAH, has not been used to treat PKU in Russia.Genotype data of patients with PKU can be used to predict their sensitivity to BH4 therapy. A cohort of 2579 patients with PKU from Russia was analyzed for 25 common PAH gene mutations using custom allele-specific multiplex ligation-dependent probe amplification-based technology. A mutation detection rate of 84.1% chromosomes was accomplished. Both pathogenic alleles were identified in 73.1% of patients. The most frequent pathogenic variants were p.Arg408Trp (50.9%), p.Arg261Gln (5.3%), p.Pro281Leu (3.5%), IVS12+1G>A (3.1%), IVS10-11G>A (2.6%), and p.Arg158Leu (2.4%). The exact boundaries of a PAH exon 5 deletion were defined as EX5del4154ins268 (c.442-2913_509+1173del4154ins268). Severe phenotypes prevailed in the cohort, and classical PKU was observed in 71.8% cases. Due to the genotype-based prediction, 55.9% of the probands were non-responders to the BH4-treatment, and 20.2% were potential responders. Analysis of genotype data is useful to predict BH4 response in PKU patients. The high rate of non-responders among Russian patients was due to the high allele frequency of severe PAH mutations.

Indexed as

AllelesGene FrequencyGenotypeMutationCohort StudiesDrug ResistanceExonsFemaleHumansMalePhenylalanine HydroxylasePhenylketonuriasRussiaPhenylalanine Hydroxylase

Identifiers

PMID30668579
PMCPMC6342299
OpenAlexW2912141831

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.