Analysis of plasma immune response to clostridium difficle proteins in hospitalized patients at Health Sciences North, Sudbury, Ontario, Canada
Bibliographic record
Abstract
Clostridium difficile infection (CDI) is the leading cause of nosocomial diarrhea worldwide. \nPrevention and treatment of CDI requires an intimate understanding of the immune \nresponse to the bacterium. Thus, this study investigated the plasma immune response of 79 \npatients at Health Sciences North in Sudbury, Ontario, Canada to identify immunodominant \nC. difficile proteins. Plasma samples were obtained from patients diagnosed with C. difficile \ninfection, patients positive for C. difficile without symptoms, and patients who were \nnegative for C. difficile, with and without symptoms. The plasma samples were tested for \nthe presence of antibody reacting to C. difficile protein extracts using Western Blot analysis, \nWes immunoblotting, and subsequent characterization by 2-D immunoblot analysis and \nmass spectrometry. Candidate immunodominant C. difficile proteins were found to be \nenolase, acetyl-coA acetyltransferase, and the 50s ribosomal protein, L7/L12. However, the \npresence and/or levels of antibodies that recognized these proteins in patient plasma were \nnot statistically different between patient cohorts. Further analysis of the potential immunogenicity of these proteins could be useful to CDI treatment and prevention
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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 | 0.000 | 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 | 0.000 |
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".