Bibliographic record
Abstract
Cryptococcus neoformans, the etiological agent of cryptococcosis, is an occasional opportunistic fungal pathogen of immune competent individuals. However, it is a relatively frequent cause of life-threatening meningoencephalitis and pulmonary infections in immunosuppressed hosts and is a leading mycological cause of morbidity and mortality among patients with AIDS in most parts of the world. The lack of an effective fungicidal regimen and the development of antifungal resistant strains suggest that continued investigation is necessary to devise immunotherapeutic strategies, drug targets and/or vaccines to combat C. neoformans infections. Until recently, cryptococcal virulence factors such as its polysaccharide capsule, macrophage parasitism, and its ability to induce an ineffective antibody mediated immune (AMI) response along with a non-protective type II (Th2) cell-mediated immune response have thwarted efforts to induce complete protective immunity against a lethal cryptococcal strain in murine models. The presence of C. neoformans antibodies in adult human serum suggests that immune competent individuals have difficulty resolving an early cryptococcal infection allowing for the establishment of a subclinical chronic infection. Recent studies have shown that pro-inflammatory cytokines, specifically interferon-g (IFN-gamma), associated with type I (Th1) cell-mediated immunity can successfully drive cell-mediated immune (CMI) responses to produce protective immunity to a second experimental C. neoformans infection in mice. This review will evaluate the intricacies of the host-cryptococcal interaction and discuss recent developments in C. neoformans research and the potential for human vaccines and/or drug therapies.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 |
| 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 teacher head, 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".