Bibliographic record
Abstract
Fungal infections cause over 1.5 million deaths per year, and a quarter million of these deaths are caused by the genus Candida [1]. The mortality rate of invasive candidiasis (infections by Candida) can be greater than 40% due to limited treatment options and increased antifungal resistance [1]. Since 2009, Candida auris emerged across six continents and evolved simultaneously as five distinct geographic clades [2, 3]. Candida auris has become a global threat as it can colonize the skin, medical devices and hospital environments, causing nosocomial outbreaks of blood and urinary tract infections worldwide (Fig. 1) [2]. Illustration of yeast pathogen Candida auris Most fungal pathogens of humans and other mammals are opportunistic pathogens. Mammals are endothermic and have a high basal body temperature relative to the surrounding environment that limits infections by the majority of environmental fungi. Candidaauris is distinct from most environmental fungi in that it thrives at mammalian body temperatures, enabling its rapid adaptation to mammalian hosts [4, 5]. Rising global temperatures due to anthropogenic climate change may have selected for thermotolerant strains of C. auris, leading to its emergence as a pathogenic fungus in humans across a wide geographic range [4–6]. Candidaauris was recently identified in a salt marsh and sandy beach, a plausible reservoir in which it may have adapted to a warm, high salinity environment [7]. Adaptation to such an environment may have enabled C. auris to persist on the skin due to its thermal and salt tolerance. Candidaauris can spread among patients in hospitals and is intrinsically resistant to one or more classes of antifungals, which makes it particularly difficult to treat in health care settings [8]. The acquisition of multi-drug resistance could be due to the mis/overuse of antifungal drugs [8]. Comparative genomics demonstrated that C. auris has expanded families of transporters and lipases as well as mutations and copy number variants in genes/enzymes linked to increased resistance and virulence [2]. Investigating the fitness trade-offs in traits that confer resistance and virulence in C. auris would be beneficial to understanding the evolutionary potential of pathogenic strains. Pathogenic fungi pose a great threat to immunocompromised individuals, such as people living with human immunodeficiency virus (HIV) and solid organ transplant recipients [7]. Clinical evidence suggests that patients receiving novel immunotherapies for cancer may also be particularly susceptible to fungal infections [9], and secondary fungal airway infections, such as candidiasis and aspergillosis, have been documented in COVID-19 patients [10]. Understanding the evolution of emerging fungal pathogens like C. auris will be useful for the design of antifungal drugs and therapies for susceptible patients, potentially improving clinical outcomes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".