A201 UNDERSTANDING THE INFECTION DYNAMICS OF MYCOBACTERIUM PARATUBERCULOSIS (MAP)
Bibliographic record
Abstract
Abstract Background Mycobacterium avium subspecies paratuberculosis (MAP) is the causative agent of Johne’s disease (JD) in ruminants. Following infection, JD may present as enteritis, leading to wasting, often causing premature culling of livestock. Beyond veterinary medicine, several mycobacterium species, including MAP, have been implicated in human gastrointestinal disease. While MAP has been incriminated in causing Crohn’s disease (a claim that has yet to be substantiated), there are confirmed cases of MAP infection in immunocompromised individuals, causing profuse diarrhea, fever, and drastic weight loss. Given the economic burden associated with MAP infection, considerable efforts have sought to understand its dynamics. However, these processes have not been completely characterized, hindering our ability to generate novel anti-infective agents. While the current paradigm suggests that MAP travels to the small intestine, gaining entry through the epithelium, the exact cellular tropism and the mechanism(s) of entry are not well defined. Therefore, we have developed an ex vivo enteroid-based system to visualize invasion of MAP in distinct cells of the intestinal epithelium using a GFP-expressing MAP strain. With this, we sought to test the hypothesis that MAP invasion occurs via M cells through receptor-mediated transcytosis. Aims 1) Characterize experimental system and visualize MAP invasion 2) Determine cellular tropism 3) Uncover mechanisms underlying MAP invasion Methods Enteroids (2D and 3D) were generated and M cell differentiation induced via addition of RANKL. Confluent ileal monolayers were exposed to GFP-expressing MAP strain (K10 pWES4). Confocal microscopy was performed, and barrier function was measured via transepithelial electrical resistance (TEER). Results We generated 3D enteroids and confluent enteroid-derived monolayers with functional M cells capable of transcytosis. MAP was detected mainly within M cells. We further confirmed this finding using a human in vitro M cell model, the Caco-2/Raji-B co-culture system. Furthermore, alterations in TEER following MAP exposure in monolayers cultured with RANKL, triggering M cell differentiation, suggest the existence of a novel mechanism by which MAP disrupts the barrier to invade the mucosa. Conclusions Our results suggest that MAP translocates across the epithelium predominantly via M cells, as shown both in a human and murine model. This newly optimized approach provides an experimental system that will enable us to better characterize M cell-MAP interactions, with the hopes of identifying new therapeutic targets to prevent the spread of MAP and reduce economic impact of JD. Beyond MAP infection, this novel ex vivo system has potential to elucidate other host-pathogen interactions. Funding Agencies Natural Sciences and Engineering Research Council of Canada (NSERC)
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".