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Record W4409456438 · doi:10.1084/jem.20241047

Primary disorders of polyubiquitination: Dual roles in autoinflammation and immunodeficiency

2025· review· en· W4409456438 on OpenAlexaff
András N. Spaan, Bertrand Boisson, Seth L. Masters

Bibliographic record

VenueThe Journal of Experimental Medicine · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsHospital for Sick Children
FundersHORIZON EUROPE European Research CouncilAgence Nationale de la RechercheNederlandse Organisatie voor Wetenschappelijk OnderzoekNational Center for Advancing Translational SciencesEuropean Research CouncilNational Institutes of HealthNational Institute of Allergy and Infectious DiseasesHoward Hughes Medical InstituteSt. Giles FoundationInstitut National de la Santé et de la Recherche MédicaleUniversité de ParisRockefeller University
KeywordsPrimary immunodeficiencyUbiquitinHuman immunodeficiency virus (HIV)ImmunodeficiencyInflammationPhenotypeImmunologyBiologyMedicineComputational biologyBioinformaticsGeneticsGeneImmune system

Abstract

fetched live from OpenAlex

The last decades have brought a rapid expansion of the number of primary disorders related to the polyubiquitination pathways in humans. Most of these disorders manifest with two seemingly contradictory clinical phenotypes: autoinflammation, immunodeficiency, or both. We provide an overview of the molecular pathogenesis of these disorders, and their role in inflammation and infection. By focusing on data from human genetic diseases, we explore the complexities of the polyubiquitination pathways and the corresponding clinical phenotypes of their deficiencies. We offer a road map for the discovery of new genetic etiologies. By considering the triggers that induce inflammation, we propose autoinflammation and immunodeficiency as continuous clinical phenotypes.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.014
GPT teacher head0.308
Teacher spread0.295 · 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 designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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