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Record W4378672888 · doi:10.1101/2023.05.24.23290482

Bacterial genome wide association study substantiates <i>papGII</i> of <i>Escherichia coli</i> as a patient independent driver of urosepsis

2023· preprint· en· W4378672888 on OpenAlexaff
Aline Cuénod, Jessica Agnetti, Helena M. B. Seth-Smith, Tim Roloff, Denise Lea Wälchli, Dimitri Scherbakov, Rashid Akbergenov, Sarah Tschudin‐Sutter, Stefano Bassetti, Martin Siegemund, Christian H. Nickel, Jacob Moran‐Gilad, Timothy G. Keys, Valentin Pflüger, Nicholas R. Thomson, Adrian Egli

Bibliographic record

VenuemedRxiv · 2023
Typepreprint
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsMcGill University
FundersUniversität ZürichEidgenössische Technische Hochschule ZürichÉcole Polytechnique Fédérale de LausanneUniversität BaselSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsEscherichia coliMicrobiologyUrineVirulenceVirulence factorBiologyGenomeUrinary systemGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Urinary tract infections are extremely common and often caused by Escherichia coli . Bacterial virulence factors and patient characteristics have been linked separately to progressive, invasive infection. The interaction of these factors has however rarely been considered. We whole genome sequenced 1076 E. coli isolates recovered from urine-or blood culture samples from 825 clinical cases. The majority of isolates belonged to the phylogroups B2 and D and encoded polysaccharide capsules. In line with previous studies, our bGWAS identified papGII to be associated with bacteraemia. In a generalised linear model correcting for patient characteristics, papGII was substantiated as a major contributor to invasive infection. Further, an independent cohort of 1,657 urine samples was PCR screened for papGII carrying E. coli , confirming the increased relative frequency of papGII + strains to cause invasive infection. This study builds on previous work linking papGII with invasive infection by showing that it is a patient-independent risk factor that has diagnostic potential.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.023
GPT teacher head0.267
Teacher spread0.244 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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