Adjuvant potential of archaeal synthetic glycolipid mimetics critically depends on the glyco head group structure
Bibliographic record
Abstract
Subunit vaccines capable of providing protective immunity against the intracellular pathogens and cancers that kill millions of people annually require an adjuvant capable of directing a sufficiently potent cytotoxic T lymphocyte response to purified antigens, without toxicity issues. Archaeosome lipid vesicles, prepared from isoprenoid lipids extracted from archaea, are one such adjuvant in development. Here, the stability of an archaeal core lipid 2,3-di-O-phytanyl-sn-glycerol (archaeol) is used to advantage to synthesize a series of disaccharide archaeols and show that subtle variations in the carbohydrate head group alters the type and potency of immune responses mounted in a mammal. Critically, a glycosylarchaeol was required to elicit high cytotoxic CD8(+) T cell activity, with highest responses to the antigen entrapped in archaeosomes containing disaccharides of glucose in beta- or alpha1-6 linkage (beta-gentiobiose, beta-isomaltose), or of beta-lactose. This first study on synthetic archaeal lipid adjuvants reveals potential for this class of regulatory friendly, easily scalable, inexpensive, and potent glyco-adjuvant.
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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".