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Record W3023662906 · doi:10.1126/scitranslmed.aax4517

BCG vaccination–induced emergency granulopoiesis provides rapid protection from neonatal sepsis

2020· article· en· W3023662906 on OpenAlexafffund
Byron Brook, Danny Harbeson, Casey P. Shannon, Bing Cai, Daniel He, Rym Ben-Othman, Freddy Francis, Yue Z. Huang, Natallia Varankovich, Aaron C. Liu, Winnie Bao, Morten Bjerregaard-Andersen, Frederik Schaltz‐Buchholzer, Lilica Sanca, Christian N Golding, Kristina Lindberg Larsen, Ofer Levy, Beate Kampmann, Rusung Tan, Adrian Charles, James L. Wynn, Frank Shann, Peter Aaby, Christine Stabell Benn, Scott J. Tebbutt, Tobias R. Kollmann, Nelly Amenyogbe, Amy Huei‐Yi Lee, Tue Bjerg Bennike, Joann Diray‐Arce, Olubukola T. Idoko, William Pomat, Simon D. van Haren, Momoudou Cox, Alansana Darboe, Reza Falsafi, Samuel J. Hinshaw, Jorjoh Ndure, Jainaba Njie-Jobe, Matthew A. Pettengill, Arnaud Marchant, Peter Richmond, Rebecca Ford, G Saleu, Geraldine Masiria, John Paul Matlam, Wendy Kirarock, Elishia Roberts, Mehrnoush Malek, Guzman Sánchez‐Schmitz, Amrit Singh, Asimenia Angelidou, Kinga K. Smolen, Ryan R. Brinkman, Al Ozonoff, Robert E. W. Hancock, Anita H.J. van den Biggelaar, Hanno Steen, Diana Vo, Ken Kraft, Kerry McEnaney, Sofia M. Vignolo

Bibliographic record

VenueScience Translational Medicine · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsBC Children's HospitalPrevention of Organ FailureSt. Paul's HospitalUniversity of British Columbia
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentDanmarks GrundforskningsfondMedical Research CouncilNational Institute of Allergy and Infectious DiseasesNational Institute of General Medical SciencesNational Research FoundationMichael Smith Health Research BCBC Children's HospitalNational Institutes of HealthKaren Elise Jensens FondChildren's Hospital FoundationLudwig Institute for Cancer Research
KeywordsGranulopoiesisVaccinationMedicineSepsisNeonatal sepsisImmunologyIntensive care medicineVirologyBiologyHaematopoiesisGenetics

Abstract

fetched live from OpenAlex

Death from sepsis in the neonatal period remains a serious threat for millions. Within 3 days of administration, bacille Calmette-Guérin (BCG) vaccination can reduce mortality from neonatal sepsis in human newborns, but the underlying mechanism for this rapid protection is unknown. We found that BCG was also protective in a mouse model of neonatal polymicrobial sepsis, where it induced granulocyte colony-stimulating factor (G-CSF) within hours of administration. This was necessary and sufficient to drive emergency granulopoiesis (EG), resulting in a marked increase in neutrophils. This increase in neutrophils was directly and quantitatively responsible for protection from sepsis. Rapid induction of EG after BCG administration also occurred in three independent cohorts of human neonates.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 integrity0.0000.001
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 head0.043
GPT teacher head0.290
Teacher spread0.247 · 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 designBench or experimental
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

Citations127
Published2020
Admission routes2
Has abstractyes

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