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Record W3094979057 · doi:10.1182/blood-2020-141981

Systems-Level Analysis of the Immune Repertoire in Neutropenia Reveal Arrested NK Cell Differentiation and Exhaustion

2020· article· en· W3094979057 on OpenAlexaboutno aff
Ebba Sohlberg, Aline Pfefferle, Eivind Heggernes Ask, Astrid Tschan‐Plessl, Bénédikt Jacobs, Suzanne Lorenz, Stephan Meinke, Petter Höglund, Mikael Sundin, Göran Karlsson, Jan Palmblad, Karl‐Johan Malmberg

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyImmunologyImmune systemInnate immune systemTIGITCell biologyInterleukin 21CytokineT cell

Abstract

fetched live from OpenAlex

Neutrophils are innate cells that have been suggested to play a critical role in terminal differentiation of NK cells. Whether this is a direct effect or a consequence of global immune changes with effects on NK cell homeostasis remains unknown. Here, we used high-resolution flow and mass cytometry to examine NK cell repertoires in 64 neutropenic patients and 27 healthy age- and gender-matched controls. A subgroup of neutropenic patients had lower frequencies and absolute numbers of NK cells, yet increased frequencies of CD56bright among NK cells (Figure 1A-C). Moreover, their CD56dim compartment was characterized by a block in differentiation, with a relative lack of NKG2A-CD57+KIR+ NK cells. In line with the differentiation arrest, no expansion of adaptive NK cells could be detected in CMV-seropositive patients from this subgroup. Furthermore, CD56dim NK cells showed increased frequencies of Ki-67+, Tim-3+ and TIGIT+ cells suggestive of activation and exhaustion (Figure 1D). The systemic imprint in the NK cell repertoire was associated with a blunted tumor target cell response with inefficient killing and a lower proportion of degranulating CD56dim cells (Figure 1E). RNA sequencing of the NK cell compartment further revealed that the differentiation arrest was linked to increased expression of transcription factors and genes involved in proliferation and cytokine signaling (Figure 1F). Serum protein profiling of 264 proteins showed upregulation of pathways related to apoptosis and cell turnover, as well as immune regulation and inflammation including higher levels of IL-10, IL-18 and IL-27 in these patients (Figure 1G-H). Notably, the majority of patients with perturbed NK cell compartment exhibited high-grade neutropenia, overall suggesting that the profoundly altered NK cell homeostasis was tightly connected to the severity of their underlying etiology (Figure 1I). Disclosures Meinke: XNK Therapeutics AB: Consultancy. Palmblad:Roche Sweden Inc: Speakers Bureau; Chieti Canada Inc: Consultancy, Membership on an entity's Board of Directors or advisory committees. Malmberg:Vycellix: Membership on an entity's Board of Directors or advisory committees; Fate Therapeutics: Consultancy, Patents & Royalties.

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.202
Teacher spread0.187 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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