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Record W4362586415 · doi:10.1101/2023.03.29.23287915

<i>Stenotrophomonas maltophilia</i> natural history and evolution in the airways of adults with cystic fibrosis

2023· preprint· en· W4362586415 on OpenAlexafffundabout
Conrad Izydorczyk, Barbara J. Waddell, Christina S. Thornton, John Conly, Harvey Rabin, Ranjani Somayaji, Michael G. Surette, Deirdre L. Church, Michael D. Parkins

Bibliographic record

VenuemedRxiv · 2023
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInfections and bacterial resistance
Canadian institutionsMcMaster UniversityAlberta Health ServicesUniversity of Calgary
FundersAlberta Precision LaboratoriesCystic Fibrosis Foundation
KeywordsStenotrophomonas maltophiliaCystic fibrosisBiologyCohortTransmission (telecommunications)MicrobiologyNatural historyPseudomonas aeruginosaGeneticsBacteriaMedicineEcology

Abstract

fetched live from OpenAlex

ABSTRACT Stenotrophomonas maltophilia is an opportunistic pathogen infecting person with cystic fibrosis (pwCF) and portends a worse prognosis. Studies of S. maltophilia infection dynamics have been limited by cohort size and follow-up. We investigated the natural history, transmission potential, and evolution of S. maltophilia in a large Canadian cohort of pwCF over a thirty-seven year period. S. maltophilia was recovered at least once in 25.5% of the cohort. Yearly isolates from 74 pwCF (23%) were typed by pulsed-field gel electrophoresis, and shared pulsotypes underwent whole-genome sequencing. Most pwCF were infected by unique strains, but serial infections with different strains, and strains shared between patients, were observed. In chronic carriage, longer time periods between positive collection dates increased the likelihood that subsequent isolates were unrelated. Isolates from individual pwCF were largely clonal, with genetic diversity driven by gene content differences. Disproportionate progression of CF lung disease was not observed amongst those infected with multiple strains over time (versus a single) or amongst those with shared clones (versus strains only infecting one patient). We did not observe evidence of patient-to-patient transmission despite relatedness between isolates. Instead, genomic analyses suggested common, indirect sources as their origins. Sixteen multi-mutated genes were identified as having a potential role in adaptation of S. maltophilia to CF, including in a regulator of an efflux pump and in an iron acquisition gene cluster. The information derived from a genomics-based understanding of the natural history of S. maltophilia infection within CF provides unique insight into its potential for in-host evolution. IMPORTANCE In this largest and longest single center study of S. maltophilia causing infections in persons with cystic fibrosis, we concluded that patient-to-patient infection transmission had not occurred. We determined that infection by a new S. maltophilia strain was more likely the longer the time between its recovery in sputum, suggesting infection by individual strains is generally short-lived. Amongst bacterial isolates belonging to the same clonal complex, isolates could be better differentiated by their gene content than mutations, suggesting gene gain/loss may contribute more to the genetic diversity of these strains than mutation. Infection by multiple strains, or a shared strain found in at least one other person, was not associated with progression to end-stage lung disease.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.356
Threshold uncertainty score0.708

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.204
Teacher spread0.197 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2023
Admission routes3
Has abstractyes

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