<i>Helicobacter pylori</i> from asymptomatic hosts expressing heptoglycan but lacking Lewis O-chains: Lewis blood-group O-chains may play a role in <i>Helicobacter pylori</i> induced pathology
Bibliographic record
Abstract
Helicobacter pylori is a widespread Gram-negative bacterium responsible for the onset of various gastric pathologies and cancers in humans. A familiar trait of H. pylori is the production of cell-surface lipopolysaccharides (LPSs; O-chain --> core --> lipid A) with O-chain structures analogous to some mammalian histo-blood-group antigens, those being the Lewis determinants (Lea, Leb, Lex, sialyl Lex, Ley) and blood groups A and linear B. Some of these LPS antigens have been implicated as autoimmune, adhesion, and colonization components of H. pylori pathogenic mechanisms. This article describes the chemical structures of LPSs from H. pylori isolated from subjects with no overt signs of disease. Experimental data from chemical- and spectroscopic-based studies unanimously showed that these H. pylori manufactured extended heptoglycans composed of 2- and 3-linked D-glycero-alpha-D-manno-heptopyranose units and did not express any blood-group O-antigen chains. The fact that another H. pylori isolate with a similar LPS structure was shown to be capable of colonizing mice indicates that H. pylori histo-blood-group structures are not an absolute prerequisite for colonization in the murine model also. The absence of O-chains with histo-blood groups may cause H. pylori to become inept in exciting an immune response. Additionally, the presence of elongated heptoglycans may impede exposure of disease-causing outer-membrane antigens. These factors may render such H. pylori incapable of creating exogenous contacts essential for pathogenesis of severe gastroduodenal diseases and suggest that histo-blood groups in the LPS may indeed play a role in inducing a more severe H. pylori pathology.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".