Abstract 52: The Gut Microbiome Alters Susceptibility to Coronary Inflammation in Kawasaki Disease
Bibliographic record
Abstract
The gut microbiome has been shown to have immunomodulatory capabilities, and changes in the composition of the microbiome have altered the pathogenesis of inflammatory diseases. In this study, we sought to investigate the effects of the microbiome on the pathogenesis of Kawasaki Disease (KD) using the Lactobacillus cell wall extract (LCWE)-induced coronary arteritis model. Using qPCR on mouse fecal samples, we quantified bacterial communities through the 16S rRNA gene. Animals originating from the same supplier where housed in two independent facilities. There were marked elevations in Bacteroides, Bifidobacteria, Lactobacillus and segmented filamentous bacteria (SFB) and decrease in Clostridia in Facility A compared to Facility B. The transition to the newer Facility B resulted in a reduction in disease induction by LCWE to 26% (25/95), compared to 50% (35/70) at Facility A. Addition of antibiotics to the drinking water to deplete the microbiome reduced disease incidence to 40% (2/5) of mice housed at Facility A compared to 100% (5/5) of untreated mice, suggesting that components of the microbiome are necessary to exacerbate inflammation. To address whether the gut microbiome was sufficient to support disease susceptibility, the cecal contents of the susceptible mice at A were gavaged into the less susceptible mice at B. Recipients of the cecal contents from Facility A had an increased disease incidence of 91% (10/11) compared to 60% (6/10) in control mice which received cecal contents from mice housed in Facility B. We also report elevated levels of IL-17 in the serum of SFB-colonized mice. SFB, known to exacerbate several models of autoimmunity, was completely absent in mice housed at Facility B. Interestingly Th17 and its associated cytokine IL-17 have been associated with acute KD, but its role in pathogenesis remains unclear. Th17 cells have been implicated in autoimmunity, and are also important players in gut homeostasis. Our data provide evidence for the role of the gut microbiome in modulating the immunopathogenesis of KD, pointing to the important interactions of commensal and pathogenic factors as determinants of disease.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".