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Record W4408278019 · doi:10.1097/bor.0000000000001088

Human genetics of Whipple's disease

2025· article· en· W4408278019 on OpenAlexaff
Jérémie Rosain, Jean‐Laurent Casanova, Jacinta Bustamante

Bibliographic record

VenueCurrent Opinion in Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicWhipple's Disease and Interleukins
Canadian institutionsHospital for Sick Children
FundersNational Center for Advancing Translational SciencesNational Institute of Allergy and Infectious DiseasesAgence Nationale de la Recherche
KeywordsTropheryma whippleiMedicineWhipple's diseaseWhipple DiseaseDiseaseImmunologyHaploinsufficiencyDiarrheaInternal medicineGeneticsBiologyGene

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Whipple's disease (WD), triggered by Tropheryma whipplei ( T. whipplei ), is a rare, chronic, inflammatory, systemic infectious disease that typically manifests in adults. The most frequent initial manifestations include arthritis, followed by diarrhea, abdominal pain, and weight loss. Half the world's population is exposed to T. whipplei , but only one in a million develop WD. This suggests that acquired or inborn errors of immunity (IEI) may underlie WD. Anti-TNF treatment is a well established risk factor for flare-ups of WD. RECENT FINDINGS: We have also reported two rare IEI in patients with WD. Six WD patients from two unrelated kindreds were found to have autosomal dominant IRF4 deficiency acting via a mechanism of haploinsufficiency. These patients were otherwise healthy. In addition, a single patient with a history of WD and other infections was found to have autosomal recessive CD4 deficiency. SUMMARY: Rare IEI can underlie WD. Human genetic studies of patients with WD are warranted for the development of precision medicine for affected kindreds and to improve our understanding of the pathogenesis of this rare infectious disease.

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.044
GPT teacher head0.389
Teacher spread0.345 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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