Evidence map›Paper›PMID 36295892›Full record

ArticleMetabolites2022

Analysis of the Phenotype Differences in Siblings with Alkaptonuria.

Andrea Zatkova, Birgitta Olsson, Lakshminarayan R Ranganath, Richard Imrich

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  5. Article
  6. Alkaptonuria.Nature reviews. Disease primers · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Andrea ZatkovaBiomedical Research Center, Slovak Academy of Sciences, 845 05 Bratislava, Slovakia.
Birgitta OlssonGarriguella AB, 179 62 Ekerö, Sweden.
Lakshminarayan R RanganathDepartment of Clinical Biochemistry and Metabolism, Royal Liverpool University Hospital, Liverpool L7 8XP, UK.
Richard ImrichBiomedical Research Center, Slovak Academy of Sciences, 845 05 Bratislava, Slovakia.
Biomedical Research Center of the Slovak Academy of Sciences · SKUniversity of Liverpool · GB

Funding

7FP - The European Commission 304985 DevelopAKUreVEGA (Slovakia) 02/0040/20
6 · The paper itself

Abstract

Alkaptonuria (AKU) is a rare autosomal recessive disorder caused by mutations within a gene coding for homogentisate 1,2-dioxygenase (HGD). To date, 251 different variants of this gene have been reported. The metabolic disorder in AKU leads to the accumulation of homogentisic acid (HGA), resulting in ochronosis (pigmentation of the connective tissues) and severe ochronotic spondylo-arthropathy, which usually manifests in the mid-thirties. An earlier genotype−phenotype correlation study showed no differences in serum HGA levels, absolute urinary excretion of HGA, or in the clinical symptoms between patients carrying HGD variants leading to 1% or >30% residual HGD activity. Still, as reported previously, the variance of the excretion of the HGA was smaller within affected siblings that share a common genotype. The present study is the first ever to systematically analyze the baseline clinical data of 24 AKU sibling pairs/groups collected in the SONIA 2 (Suitability Of Nitisinone In Alkaptonuria 2) study to evaluate phenotypical differences between patients carrying the same HGD genetic variants. We show that even between siblings there was considerable variability in the disease severity. This indicates that some other yet unidentified genetic, biomechanical, or environmental modifying factors may contribute to accelerated pigmentation and connective tissue damage observed in some patients.

Indexed as

alkaptonuriagenotype-phenotype correlationHGD generare diseasessib study

Identifiers

PMID36295892
PMCPMC9611385
OpenAlexW4306837411

What OpenQuestion holds

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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.