Bibliographic record
Abstract
Archaeosomes are liposomes made from the polar ether lipids of Archaea. These lipids are unique and distinct in structure from the ester lipids found in Eukarya and Bacteria. The regularly branched and usually fully saturated isopranoid chains of archaeal polar lipids are attached via ether bonds to the sn-2,3 carbons of the glycerol backbone(s). The polar head groups are usually the same as those encountered in the ester lipids from the other two domains, except that phosphatidylcholine is rarely present. These lipid structures provide formulary advantages, and contribute to the excellent physico-chemical stability of the archaeosomes and their efficacy as self-adjuvanting vaccine delivery vesicles. The uptake of archaeosomes by phagocytic cells is several folds greater than that of liposomes made from ester lipids. In addition, archaeosomes enhance the recruitment and activation of professional antigen presenting cells in vivo, and deliver the antigen to both MHC class I and II pathways for antigen presentation, without eliciting overt inflammatory responses. In murine models, systemic administration of archaeosomes containing encapsulated antigen(s) elicits strong and sustained antigen-specific antibody responses which are comparable, in some formulations, to those obtained with Freund's adjuvant. Additionally, archaeosomes promote robust antigen-specific cell-mediated immunity, including CD8+ CTL responses. The immune responses induced by archaeosomes are sustained over long periods and exhibit strong memory responses. More importantly, immunization of mice with archaeosome-based vaccines induces robust protective immunity against intracellular pathogens, and prophylactic and therapeutic efficacies against the development of experimental cancers. Extensive murine model studies suggest that archaeosomes are safe.
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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".