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Record W4392169427 · doi:10.1128/mbio.00263-24

Variability in competitive fitness among environmental and clinical azole-resistant <i>Aspergillus fumigatus</i> isolates

2024· article· en· W4392169427 on OpenAlexfundno aff
Shu Chen, Guoxing Zhu, Hui‐Ping Lin, Jian Guo, Shuwen Deng, Wenjuan Wu, Gustavo H. Goldman, Ling Lü, Yuanwei Zhang

Bibliographic record

VenuemBio · 2024
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsnot available
FundersNatural Science Foundation of Jiangsu ProvinceGovernment of Jiangsu ProvinceInternational Development Research CentreFundação de Amparo à Pesquisa do Estado de São PauloNatural Science Research of Jiangsu Higher Education Institutions of ChinaCanadian Institutes of Health ResearchCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorAzrieli FoundationConselho Nacional de Desenvolvimento Científico e TecnológicoNational Natural Science Foundation of China
KeywordsAspergillus fumigatusAzoleMicrobiologyBiologyAntifungal

Abstract

fetched live from OpenAlex

ABSTRACT Azoles are the primary antifungal drugs used to treat infections caused by Aspergillus fumigatus . However, the emergence of azole resistance in A. fumigatus has become a global health concern despite the low proportion of resistant isolates in natural populations. In bacteria, antibiotic resistance incurs a fitness cost that renders strains less competitive in the absence of antibiotics. Consequently, fitness cost is a key determinant of the spread of resistant mutations. However, the cost of azole resistance and its underlying causes in A. fumigatus remain poorly understood. In this observation, we revealed that the 10 out of 15 screened azole-resistant isolates, which possessed the most common azole-targeted cyp51A mutations, particularly the presence of tandem repeats in the promoter region, exhibit fitness cost when competing with the susceptible isolates in azole-free environments. These results suggest that fitness cost may significantly influence the dynamics of azole resistance, which ultimately contributes to the low prevalence of azole-resistant A. fumigatus isolates in the environment and clinic. By constructing in situ cyp51A mutations in a parental azole-susceptible strain and reintroducing the wild-type cyp51A gene into the azole-resistant strains, we demonstrated that fitness cost is not directly dependent on cyp51A mutations but is instead associated with the evolution of variable mutations related to conidial germination or other unknown development-related processes. Importantly, our observations unexpectedly revealed that some azole-resistant isolates showed no detectable fitness cost, and some even exhibited significantly increased competitive fitness in azole-free environments, highlighting the potential risk associated with the prevalence of these isolates. IMPORTANCE Azole resistance in the human fungal pathogen Aspergillus fumigatus presents a global public health challenge. Understanding the epidemic trends and evolutionary patterns of azole resistance is critical to prevent and control the spread of azole-resistant isolates. The primary cause is the mutation of the drug target 14α-sterol-demethylase Cyp51A, yet its impact on competitive ability remains uncertain. Our competition assays revealed a diverse range of fitness outcomes for environmental and clinical cyp51A -mutated isolates. We have shown that this fitness cost is not reliant on cyp51A mutations but might be linked to unknown mutations induced by stress conditions. Among these isolates, the majority displayed fitness costs, while a few displayed enhanced competitive ability, which may have a potential risk of spread and the need to closely monitor these isolates. Our observation reveals the variation in fitness costs among azole-resistant isolates of A. fumigatus , highlighting the significant role of fitness cost in the spread of resistant strains.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.282
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2024
Admission routes1
Has abstractyes

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