Evidence map›Paper›PMID 31469252›Full record

ArticleAnnals of clinical and translational neurology2019

Early prediction of phenotypic severity in Citrullinemia Type 1.

Matthias Zielonka, Stefan Kölker, Florian Gleich, Nicolas Stützenberger, Sandesh C S Nagamani, Andrea L Gropman, Georg F Hoffmann, Sven F Garbade, Roland Posset, Urea Cycle Disorders Consortium (UCDC) and the European Registry and Network for Intoxication type Metabolic Diseases (E-IMD) Consortia Study Group

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00237315 (Longitudinal Study of Urea Cycle Disorders), which is not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.2field-weighted citation impact, top 14% 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.

NCT00237315 unknown statusnot on this map

Longitudinal Study of Urea Cycle Disorders

TypeobservationalSponsorAndrea GropmanRan2006 to 2026Enrolled1,500ConditionsBrain Diseases, Metabolic, Inborn, Amino Acid Metabolism, Inborn Errors, Urea Cycle Disorders
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Trial Readiness: Understanding the Natural History of Rare Diseases.Journal of inherited metabolic disease · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Review
  13. Review
  14. Severity-adjusted evaluation of liver transplantation on health outcomes in urea cycle disorders.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Prenatal diagnosis of citrullinemia type 1; seven families with c.1168GInternational journal of reproductive biomedicine · 2022
    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

10 authors at 3 institutions in 2 countries.

Matthias ZielonkaCenter for Pediatric and Adolescent Medicine, Division of Pediatric Neurology and Metabolic Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.ORCID 0000-0001-9653-2914
Stefan KölkerCenter for Pediatric and Adolescent Medicine, Division of Pediatric Neurology and Metabolic Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.
Florian GleichCenter for Pediatric and Adolescent Medicine, Division of Pediatric Neurology and Metabolic Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.
Nicolas StützenbergerCenter for Pediatric and Adolescent Medicine, Division of Pediatric Neurology and Metabolic Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.
Sandesh C S NagamaniDepartment of Molecular and Human Genetics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas.
Andrea L GropmanChildren's National Health System, The George Washington School of Medicine, District of Columbia, Washington.
Georg F HoffmannCenter for Pediatric and Adolescent Medicine, Division of Pediatric Neurology and Metabolic Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.
Sven F GarbadeCenter for Pediatric and Adolescent Medicine, Division of Pediatric Neurology and Metabolic Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.
Roland PossetCenter for Pediatric and Adolescent Medicine, Division of Pediatric Neurology and Metabolic Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.ORCID 0000-0002-2249-3980
Urea Cycle Disorders Consortium (UCDC) and the European Registry and Network for Intoxication type Metabolic Diseases (E-IMD) Consortia Study Group
Heidelberg University · DEBaylor College of Medicine · USChildren's National · US

Funding

Training (Career Development) ComponentU54HD061221 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI NAGAMANI, SANDESH CHAKRAVARTHY SREENATH · 2009 to 2023
$20.8M
Steps towards a paternal gene activation therapy for Angelman syndromeU54HD083092 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI NELSON, DAVID LOREN, SAMACO, RODNEY C · 2014 to 2019
$7.8M
Research_ProjectU54HD090257 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI VITTORIO GALLO, VITTORIO GALLO VITTORIO GALLO · 2016 to 2020
$5.9M
Dietmar Hopp FoundationGerman Research FoundationKettering FundKindness-for-Kids FoundationNICHD NIH HHS U54 HD061221NICHD NIH HHS U54 HD083092NICHD NIH HHS U54 HD090257O'Malley FoundationRotenberg Family Fund
6 · The paper itself

Abstract

objectiveCitrullinemia type 1 (CTLN1) is an inherited metabolic disease affecting the brain which is detectable by newborn screening. The clinical spectrum is highly variable including individuals with lethal hyperammonemic encephalopathy in the newborn period and individuals with a mild-to-moderate or asymptomatic disease course. Since the phenotypic severity has not been predictable early during the disease course so far, we aimed to design a reliable disease prediction model.

methodsWe used a newly established mammalian biallelic expression system to determine residual enzymatic activity of argininosuccinate synthetase 1 (ASS1; OMIM #215700) in 71 individuals with CTLN1, representing 48 ASS1 gene variants and 50 different, mostly compound heterozygous combinations in total. Residual enzymatic ASS1 activity was correlated to standardized biochemical and clinical endpoints available from the UCDC and E-IMD databases.

resultsResidual enzymatic ASS1 activity correlates with peak plasma ammonium and L-citrulline concentrations at initial presentation. Individuals with 8% of residual enzymatic ASS1 activity or less had more frequent and more severe hyperammonemic events and lower cognitive function than those above 8%, highlighting that residual enzymatic ASS1 activity allows reliable severity prediction. Noteworthy, empiric clinical practice of affected individuals is in line with the predicted disease severity supporting the notion of a risk stratification-based guidance of therapeutic decision-making based on residual enzymatic ASS1 activity in the future.

interpretationResidual enzymatic ASS1 activity reliably predicts the phenotypic severity in CTLN1. We propose a new severity-adjusted classification system for individuals with CTLN1 based on the activity results of the newly established biallelic expression system.

Indexed as

MutationPhenotypeAnimalsArgininosuccinate SynthaseChlorocebus aethiopsCitrullineCitrullinemiaCOS CellsGenotypeHumansHyperammonemiaModels, TheoreticalPrognosisSeverity of Illness IndexArgininosuccinate SynthaseCitrulline

Identifiers

PMID31469252
PMCPMC6764635
OpenAlexW2970535267

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.