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Record W4409413753 · doi:10.1016/j.labinv.2025.104174

Clinicopathologic Features and the Spectrum of Myelokathexis in Warts, Hypogammaglobulinemia, Infections, Myelokathexis Syndrome

2025· article· en· W4409413753 on OpenAlexaff
Jingwei Li, Marine Delecourt, Odile Fenneteau, Jadee Neff, Lilian Roland, Bérénice Schell, Vanessa Gourhand, Marion Espéli, Karl Balabanian, Sarah Taplin, Myriam Defontis, Chi Huu Nguyen, Julia Mordhorst, Robert Johnson, Arthur G. Taveras, Christoph B. Geier, Catharina Schuetz, Christian Thiede, Melis Yilmaz, Inga Sakovich, Svetlana Sharapova, Viviana Moschese, Alessandro Mauriello, Jolán E. Walter, Mirta Cavieres, Daigo Akahane, Talal Mousallem, Julie Li, Peter E. Newburger, Teresa K. Tarrant, Merideth L. Kelley, Audrey Anna Bolyard, David C. Dale, Jean Donadieu, Katarina Zmajkovicova, Jacob R. Bledsoe

Bibliographic record

VenueLaboratory Investigation · 2025
Typearticle
Languageen
FieldMedicine
TopicOtitis Media and Relapsing Polychondritis
Canadian institutionsXenon Pharmaceuticals (Canada)
FundersNational Institutes of HealthNational Institute of Allergy and Infectious DiseasesEuropean CommissionNational Institute of Diabetes and Digestive and Kidney DiseasesUniversity of Washington
KeywordsMedicinePathology

Abstract

fetched live from OpenAlex

Warts, hypogammaglobulinemia, infections, myelokathexis (WHIM) syndrome is a rare primary immunodeficiency disorder predominantly caused by germline CXCR4 variants. Bone marrow (BM) evaluation showing myelokathexis helps to establish the diagnosis of WHIM syndrome, but unfamiliarity with pertinent diagnostic features and variability in morphologic and clinical findings may result in disease underrecognition. We aimed to characterize the clinical, BM, and peripheral blood (PB) features of 30 patients with germline CXCR4 variants, including genotype–phenotype analysis and correlation between morphologic features and functional CXCR4 receptor internalization defect. We also aimed to examine PB features of a mouse model of WHIM syndrome ( Cxcr4 +/1013 ) and examine WHIM syndrome and WHIM mouse PB morphologic changes after CXCR4 antagonist therapy. Carboxy-terminal nonsense/frameshift CXCR4 variants were associated with myelokathectic neutrophil morphology in 32% to 80% (median, 66%) and 4% to 14% (median, 9%) of total neutrophils in the BM and PB, respectively. In contrast, myelokathectic neutrophils were infrequent in 5 missense CXCR4 variants (3 CXCR4 D84H and 2 CXCR4 S341Y ). Compared with neutropenic controls, carboxy-terminal CXCR4 nonsense/frameshift variants were associated with >10% BM or >5% PB myelokathectic neutrophils (100% specific; 100% [BM] or 93% [PB] sensitive), as well as more frequent neutrophil apoptosis (BM, P = .0093; PB, P < .0001), dysmorphic/vacuolated eosinophils (BM, P = .012; PB, P < .0001), neutrophil vacuolization (BM, P < .0001), and nonparatrabecular neutrophil clusters in the BM ( P = .0059). BM myeloid hyperplasia occurred in 54% of carboxy-terminal CXCR4 nonsense/frameshift variants and in no controls. BM myelokathectic neutrophil percentage correlated with the functional CXCR4 internalization defect ( P ≤ .0042). Like humans, WHIM mice ( Cxcr4 +/1013 ) demonstrated circulating myelokathectic-like neutrophils with nuclear hypersegmentation. CXCR4 antagonist therapy in patients with WHIM syndrome (n = 5) and mice increased both morphologically normal and myelokathectic neutrophils in PB. We demonstrated notable genotype–phenotype heterogeneity between CXCR4 variants and myelokathexis, which correlates with functional CXCR4 internalization defect. The morphologic features of WHIM syndrome may be subtle, resulting in misdiagnosis. We described key morphologic features that are useful to facilitate diagnosis.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.248
Teacher spread0.243 · 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".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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