ReviewJournal of inherited metabolic disease2025
The Therapeutic Future for Congenital Disorders of Glycosylation.
Review in Journal of inherited metabolic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Congenital Disorders of Glycosphingolipid Biosynthesis: Ultrarare Severe Syndromes or Relatively Frequent Mild Neurocognitive Illnesses?Biomedicines · 2026Article
- Glycosylation disorders in pediatric epilepsy: pathophysiology, imaging and precision therapy.Frontiers in neurology · 2026Review
- Trial Readiness: Understanding the Natural History of Rare Diseases.Journal of inherited metabolic disease · 2025Review
- Predicting disease-overarching therapeutic approaches for Congenital Disorders of Glycosylation using multi-OMICS.bioRxiv : the preprint server for biology · 2025Article
- Approaches to diagnostic screening for congenital disorders of glycosylation and its prevalence in Japan.Journal of human genetics · 2025Review
- Immunopathology in PMM2-CDG: Defective glycosylation impact in the TNFα -TNFR1 signalling pathway.Frontiers in immunology · 2025Article
- Predicting disease-overarching therapeutic approaches for congenital disorders of glycosylation using multi-OMICS.Molecular genetics and metabolismArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The past decade, novel treatment options for congenital disorders of glycosylation (CDG) have advanced rapidly. Innovative therapies, targeting both the root cause, the affected metabolic pathways, and resulting manifestations, have transitioned from the research stage to practical applications. However, with novel therapeutic abilities, novel challenges await, specifically when it concerns the large number of clinical trials that need to be performed in order to treat all 190 genetic defects that cause CDG known to date. The present paper aims to provide an overview of how the CDG field can keep advancing its therapeutic strategies over the coming years with these challenges in mind. We focus on three important pillars that may shape the future of CDG: the use of disease models, clinical trial readiness, and the possibility to make individualized treatments scalable to the entire CDG cohort.
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Identifiers
What OpenQuestion holds
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.