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Interactions between Campylobacter jejuni and AB5 toxins in the gut

2016· article· en· W2595615901 on OpenAlexaffabout
Christine M. Szymanski, Robert T. Patry, Martin Ståhl, Jessica Sacher, Bruce A. Vallance

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsUniversity of AlbertaBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsCampylobacter jejuniCampylobacterMicrobiologyGut floraBiologyBacteriaGeneticsImmunology

Abstract

fetched live from OpenAlex

Campylobacter jejuni is a ubiquitous commensal in chickens, but a major cause of human diarrheal disease worldwide. To avoid immune detection by its host, most C. jejuni isolates express human ganglioside‐mimicking lipooligosaccharide (LOS) structures and it has been shown that host recognition of these antigens as non‐self results in the development of Guillain‐Barré syndrome. In addition to immune evasion, expression of ganglioside mimics in C. jejuni has been associated with improved host cell invasion and resistance to human serum. Although only positive benefits for ganglioside mimic expression have been described for C. jejuni, the organism has the ability to quickly switch off the mimicry through a phase‐variable galactosyltransferase, CgtB, involved in LOS biosynthesis. Vibrio cholerae secretes the bacteriophage‐encoded cholera toxin (CT) which binds to GM1 ganglioside structures on human cells as well as to C. jejuni GM1 ganglioside‐mimics. Enterotoxigenic Escherichia coli secretes heat‐labile enterotoxin I (LT), which also binds to these structures. Since C. jejuni, V. cholerae and E. coli can co‐infect the same niche, we examined the effects of these AB5 toxins on C. jejuni biology in order to determine if this relationship could represent a new mechanism for interpathogen competition in the intestine. We demonstrate that CT and LT specifically bind only to C. jejuni strains expressing GM1 mimics. Interestingly, our experiments show that addition of CT or LT to C. jejuni strains expressing GM1‐mimicking LOS partially clears cell growth on agar. LOS from bacteria remaining inside these zones of clearance was isolated and compared to LOS from untreated bacteria. SDS‐PAGE and silver staining of the LOS showed the loss of a band from the exposed cells compared to untreated cells, and Western blot analysis revealed reduced binding of LOS to CT. Sequencing cgtB in these two groups demonstrated that this enzyme is “on” or “off” in the unexposed group, while cgtB in the CT‐ and LT‐treated cells showed a frameshift mutation, causing premature truncation of the galactosyltransferase. Examination of an engineered E. coli strain expressing GM1 mimics shows that CT is capable of binding to the mimicking cells without inducing growth clearance, pointing toward a Campylobacter‐specific mechanism of action. These results suggest that CT and LT have a negative influence on C. jejuni and could contribute to competition between these pathogens. Further studies describing the interactions between these zoonotic pathogens, the resident gut microbiome and poultry will be described. Support or Funding Information CMS is an Alberta Innovates Technology Futures iCORE Strategic Chair in Bacterial Glycomics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.043
GPT teacher head0.262
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes2
Has abstractyes

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