Identification, Characterization, and Variation in Expression of Two Serologically Distinct O-Antigen Epitopes in Lipopolysaccharides of <i>Campylobacter fetus</i> Serotype A Strains
Bibliographic record
Abstract
Monoclonal antibodies (MAbs) to the lipopolysaccharide (LPS) O-antigens of Campylobacter fetus serotype A and B strains were produced. Eight MAbs specific for serotype A LPS were characterized on immunoblots of C. fetus serotype A LPS. Two immunoblot patterns were observed and were used to divide the eight MAbs into two groups. MAbs M1177 and M1194 were selected as representative of the two groups and were used in an enzyme-linked immunosorbent assay (ELISA) to examine the LPS O-antigen epitopes of 37 serotype A C. fetus subsp. fetus and C. fetus subsp. venerealis strains. Thirty-three strains (89%) reacted with both M1177 and M1194, 2 strains reacted only with M1177, and 2 strains reacted only with M1194. To further characterize the O-antigen epitopes, purified serotype A LPS was treated using various temperature and pH conditions and the effect of the treatments on the reactivity of the LPS with MAbs M1177 and M1194 was evaluated by ELISA. While no difference among several treatments was observed, heating serotype A LPS under alkaline conditions decreased the reaction with M1177 to background levels and increased the reaction with M1194. MAbs M1177 and M1194 were also used with ELISA to investigate in vivo and in vitro expression of the two O-antigen epitopes. There was substantial variation in expression of the two epitopes among weekly isolates of two C. fetus serotype A strains recovered from experimentally infected heifers. There was minimal variation in expression of the two epitopes in successive subcultures of three C. fetus serotype A strains.
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 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".