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Record W2067834379 · doi:10.1165/rcmb.2003-0312oc

Monocyte Recruitment into the Lungs in Pneumococcal Pneumonia

2003· article· en· W2067834379 on OpenAlexaff
Yukinobu Goto, James C. Hogg, Beth A. Whalen, Chih-Horng Shih, Hiroshi Ishii, Stephan F. van Eeden

Bibliographic record

VenueAmerican Journal of Respiratory Cell and Molecular Biology · 2003
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Response and Inflammation
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsPneumoniaMonocyteLungBone marrowImmunologyPathologyMedicineBiologyInternal medicine

Abstract

fetched live from OpenAlex

The recruitment of monocytes into the alveolar spaces is crucial for clearing infections and resolving the inflammatory response. We have previously reported the effect of acute pneumonia on monocyte transport through the bone marrow, and the present study concerns their clearance from the blood and migration into the lung airspaces. Dividing monocytes were labeled with the thymidine analog, 5'-bromo-2'-deoxyuridine (BrdU). Whole blood containing the labeled monocytes (MO(BrdU)) was transfused from either donor rabbits with pneumonia or from uninfected controls into recipients with pneumonia, where they were detected in blood and tissues using a double immunostaining method. The results show that MO(BrdU) from infected animals rapidly disappeared from the circulation (P < 0.05), preferentially sequestered in the infected lung tissue within 1 h (22.0 +/- 3.3% versus 6.0 +/- 0.4%, pneumonic region versus peripheral blood, P < 0.05), and accumulated to a greater degree in pneumonic airspaces than control monocytes 48 h after transfusion (3.9 +/- 0.5% versus 1.1 +/- 0.1%, P < 0.05). We conclude that immature monocytes released from the marrow by pneumonia sequester rapidly in lung microvessels but their migration in pneumonic airspaces is delayed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.345
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.012
GPT teacher head0.268
Teacher spread0.256 · 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 teacher head, 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

Citations47
Published2003
Admission routes1
Has abstractyes

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