The Agent of Human Granulocytic Ehrlichiosis Induces the Production of Myelosuppressing Chemokines without Induction of Proinflammatory Cytokines
Bibliographic record
Abstract
Infection by human granulocytic ehrlichiosis (HGE) is characterized clinically by cytopenias out of proportion to the number of cells seen to be infected directly. To study the pathogenic role of inflammatory mediators in HGE infection, cytokine production by untreated and dimethyl sulfoxide-treated HL-60 cells, which demonstrate enhanced infection because of granulocytic differentiation, and by normal bone marrow cells was measured using modified sandwich ELISA assays on samples obtained sequentially after inoculation with the HGE agent. All infected cells produced physiological concentrations of CC (monocyte chemotactic protein-1, macrophage inflammatory protein-1alpha and -beta, and RANTES) and CXC (interleukin [IL]-8) chemokines in amounts significantly greater than those produced by uninfected controls. In contrast, infected cells did not secrete the classic proinflammatory cytokines IL-1, IL-6, or tumor necrosis factor-alpha. The striking production of chemokines, powerful leukocyte chemoattractants capable of suppressing hematopoiesis, by susceptible target cells, is likely to be of pathogenic importance both in the observed cytopenias and in mediation of inflammation and host defenses during infection.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".