A functional microsatellite of the <i>macrophage migration inhibitory factor</i> gene associated with meningococcal disease
Bibliographic record
Abstract
ABSTRACT Macrophage migration inhibitory factor (MIF) is an abundantly expressed proinflammatory cytokine playing a critical role in innate immunity and sepsis and other inflammatory diseases. We examined whether functional MIF gene polymorphisms (–794 CATT 5–8 microsatellite and –173 G/C SNP) were associated with the occurrence and outcome of meningococcal disease in children. The CATT 5 allele was associated with the probability of death predicted by the Pediatric Index of Mortality 2 ( P =0.001), which increased in correlation with the CATT 5 copy number ( P =0.04). The CATT 5 allele, but not the —173 G/C alleles, was also associated with the actual mortality from meningoccal sepsis [OR 2.72 (1.2‐6.4), P =0.02]. A family‐based association test ( i.e. , transmission disequilibrium test) performed in 240 trios with 1 afflicted offspring indicated that CATT 5 was a protective allele ( P =0.02) for the occurrence of meningococcal disease. At baseline and after stimulation with Neisseria meningitidis in THP‐1 monocytic cells or in a whole‐blood assay, CATT 5 was found to be a low‐expression MIF allele ( P = 0.005 and P =0.04 for transcriptional activity; P =0.09 and P =0.09 for MIF production). Taken together, these data suggest that polymorphisms of the MIF gene affecting MIF expression are associated with the occurrence, severity, and outcome of meningococcal disease in children.—Renner, P., Roger, T., Bochud, P.‐Y., Sprong, T., Sweep, F. C. G. J., Bochud, M., Faust, S. N., Haralambous, E., Betts, H., Chanson, A.‐L., Reymond, M. K., Mermel, E., Erard, V., van Deuren, M., Read, R. C., Levin, M., Calandra, T. A functional microsatellite of the macrophage migration inhibitory factor gene associated with meningococcal disease. FASEB J. 26, 907–916 (2012). www.fasebj.org
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".