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Glycosylphosphatidylinositol Biosynthesis Defect Due To Novel Biallelic Pathogenic Variants in PIGW

2025· article· en· W4408888689 on OpenAlexafffund
Nazim Rabouhi, Smrithi Salian, Hind Benkerroum, Takeshi Yoshida, Thi Tuyet Mai Nguyen, Takako Fujita, Shinichi Hirose, Kenjiro Kosaki, Mathilde Lefebvre, Nicolas Bourgon, Christel Thauvin-Robinet, А. А. Камалова, Almaziya Shakhirova, Harinder Gill, Leonie A. Menke, Taroh Kinoshita, Yoshiko Murakami, Philippe M. Campeau

Bibliographic record

VenuePediatric Neurology · 2025
Typearticle
Languageen
FieldMedicine
TopicTrypanosoma species research and implications
Canadian institutionsB.C. Women's Hospital & Health CentreUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health Research
KeywordsBiosynthesisGeneticsBiologyCell biologyChemistryComputational biologyGene

Abstract

fetched live from OpenAlex

BACKGROUND: Inherited glycosylphosphatidylinositol (GPI) deficiencies are a heterogeneous group of inherited disorders of glycosylation, caused by mutations in genes involved in GPI-anchored proteins (GPI-AP) biosynthesis. PIGW is a gene known to be involved in the early steps of the GPI-anchor biosynthesis, as well as functional studies for most patients. Biallelic mutations in PIGW have been previously linked to hyperphosphatasia with mental retardation syndrome 5, also known as glycosylphosphatidylinositol biosynthesis defect 11 (GPIBD11). METHODS: We report seven individuals, including two fetuses from six unrelated families. Whole exome sequencing and chromosome analysis were performed, with variant interpretation based on ACMG and AMP guidelines. Magnetic resonance imaging (MRI) was also conducted on some of the patients. Blood samples were collected from patients to analyze GPI-AP expression using flow cytometry on markers like CD16, CD24, and FLAER. Functional analyses were performed using PIGW KO HEK 293 cells generated with CRISPR/Cas9 technology. The cells were transfected with rat Pigw cDNA that contained patient variants. The restoration of GPI-AP expression was measured by flow cytometry. Western blotting was used to assess protein expression. RESULTS: Affected patients exhibited a wide range of clinical features. Some patients presented classic GPIBD11 symptoms like developmental delay, hyperphosphatasia, and intellectual disability. Other patients showed atypical or milder phenotypes. The magnetic resonance imaging scans revealed variable neurological abnormalities in the affected individuals. Whole exome sequencing results identified PIGW mutations in all patients, which confirms the genetic basis of the disorder. Flow cytometry analysis of blood samples from patients P1, P4, and P5 using various markers showed a significant reduction in GPI-AP expression. The CD16 marker decreased to 1.8% in P1 and 21% in P5 compared to controls. CD24 was reduced to 22% in P1 granulocytes. Also, a minor decrease in CD14 on monocytes was observed in P4, as well as a slight reduction in the expression of FLAER in lymphocytes. Functional studies on PIGW-deficient CHO cells and HEK293 cells, using flow cytometry, showed that GPI-AP expression is affected by the PIGW variants. Western blotting showed reduced PIGW protein expression, except for P153L and R36G, which were similar to wild-type levels. CONCLUSIONS: To date, six patients and two fetuses with biallelic variants in PIGW have been reported. Here, we describe five new patients and two fetuses harboring homozygous or compound heterozygous variants in the PIGW gene. Our results illustrate the clinical variability of GPIBD11, highlighting the importance of broad genomic sequencing assays for patients who do not show typical symptoms. Therefore, our study expands the clinical and molecular spectrum of PIGW-associated disorder.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.293
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes2
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