Genetic characterization of macrophages from induced sputum of asthma and COPD patients
Bibliographic record
Abstract
Genetic characterization of macrophages in asthma and COPD 559 and 20 controls.Patients were recruited from the pulmonary outpatient department of the Pub lic Central Teaching Clinical Hospital of the Med ical University of Warsaw (Warsaw, Poland).In all patients, the diagnosis of asthma and COPD was previously established according to the Glob al Initiative for Asthma and Global Initiative for Chronic Obstructive Lung Disease guidelines, re spectively.The following evaluations were per formed after patient enrollment: medical histo ry, physical examination, spirometry with flow volume curve, airway obstruction reversibility test (when applicable), allergy skin prick tests, and sputum induction.Patient characteristics are shown in Supplementary material (Table S1).The study protocol was approved by the institu tional review board (KB/249/2016).An informed consent was obtained from all study participants.Methods Sputum induction and processing was proceeded as previously described.8 A FITC Pos itive Selection Kit (StemCell, Vancouver, Cana da) was used for sputum macrophage (SM) sep aration.The immunomagnetic separation of cells labeled with CD68 + FITC antibody (Thermo Fish er, Waltham, Massachusetts, United States) was performed according to the manufacturer's in struction.The number of macrophages in isolat ed cells was evaluated on May-Grünwald Giem sa stained smears (Supplementary material, Table S2).The threshold for macrophage dominated material was arbitrarily set as more than 50% of isolated cells.The total RNA was isolated us ing the Tri reagent/chloroform method (Sigma Aldrich, Saint Louis, Missouri, United States).RNA quality was measured with the Agilent 2100 bioanalyzer (
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".