Evidence map›Paper›PMID 40596733›Full record

ReviewJournal of human genetics2025

Approaches to diagnostic screening for congenital disorders of glycosylation and its prevalence in Japan.

Nobuhiko Okamoto, Machiko Kadoya, Yoshinao Wada

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In one paragraph

Review in Journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Nobuhiko OkamotoDepartment of Medical Genetics, Osaka Women's and Children's Hospital, Izumi, Japan. okamoto@osaka.email.ne.jp.ORCID http://orcid.org/0000-0001-5415-656X
Machiko KadoyaDepartment of Molecular Medicine, Research Institute, Osaka Women's and Children's Hospital, Izumi, Japan.
Yoshinao WadaDepartment of Molecular Medicine, Research Institute, Osaka Women's and Children's Hospital, Izumi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital disorders of glycosylation (CDG) represent an emerging and significant category within the spectrum of inborn errors of metabolism. CDG comprise a heterogeneous group of diseases caused by defects at various stages of the glycosylation pathway. Each year, new types of CDG are identified, and to date, pathogenic variants in 189 genes have been associated with over 200 distinct human glycosylation-related disorders. Each type of CDG exhibits characteristic clinical features. Many of CDG result in multisystem involvement, with the central nervous system being particularly affected. Clinical manifestations are highly variable and may include developmental delays, growth impairment, neurological abnormalities such as ataxia, hepatic dysfunction, cardiac defects, coagulation disorders, and abnormal fat distribution. In patients with unexplained neurological symptoms, it is now standard practice to include CDG in the differential diagnosis. Detection of altered glycosylation patterns in serum proteins is essential in the diagnostic evaluation of CDG. Analytical techniques allow the identification of defects in N-glycosylation, O-glycosylation, and combined glycosylation pathways. Once abnormalities in glycosylation are detected, subsequent genetic analysis is necessary to identify causative variants. Our research institute has contributed to the CDG diagnostic support center in Japan by developing novel analytical methods utilizing mass spectrometry. Through these efforts, we have facilitated the molecular diagnosis of 66 patients with CDG across Japan. In this report, we provide an overview of the current landscape of CDG in Japan, along with a summary of the screening and diagnostic processes.

Identifiers

PMID40596733

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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.