Integrity under stress: Host membrane remodelling and damage by fungal pathogens
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Membrane bilayers of eukaryotic cells are an amalgam of lipids and proteins that distinguish organelles and compartmentalise cellular functions. The mammalian cell has evolved mechanisms to sense membrane tension or damage and respond as needed. In the case of the plasma membrane and phagosomal membrane, these bilayers act as a barrier to microorganisms and are a conduit by which the host interacts with pathogens, including fungi such as Candida, Cryptococcus, Aspergillus, or Histoplasma species. Due to their size, morphological flexibility, ability to produce long filaments, secrete pathogenicity factors, and their potential to replicate within the phagosome, fungi can assault host membranes in a variety of physical and biochemical ways. In addition, the recent discovery of a fungal pore-forming peptide toxin further highlights the importance of membrane biology in the outcomes between host and fungal cells. In this review, we discuss the apparent "stretching" of membranes as a sophisticated biological response and the role of vesicular transport in combating membrane stress and damage. We also review the known pathogenicity factors and physical properties of fungal pathogens in the context of host membranes and discuss how this may contribute to pathogenic interactions between fungal and host cells.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.000 | 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 it