MétaCan
Menu
Back to cohort
Record W2902054818 · doi:10.1093/ofid/ofy210.312

301. The Use of Multiplex Touchdown PCR to Genotype <i>Cutibacterium</i> (<i>Propionibacterium</i>) <i>acnes</i> Isolated from Periprosthetic Shoulder Infections

2018· article· en· W2902054818 on OpenAlexaff
Frederic Nguyen, Ivan Gorn, Marc Desjardins, Craig R. Lee

Bibliographic record

VenueOpen Forum Infectious Diseases · 2018
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Infections and Treatments
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsPeriprostheticMedicineMultilocus sequence typingPropionibacterium acnesMultiplex polymerase chain reactionMicrobiologyGenotypeTypingPolymerase chain reactionMultiplexBiologyGeneArthroplastySurgeryBioinformaticsGeneticsDermatology

Abstract

fetched live from OpenAlex

As biogeographic surveys of the human skin microbiome have shown that C. acnes is a major component of the residential axillary microflora, the organism is frequently isolated from synovial tissue and joint aspirates obtained from patients with suspected periprosthetic shoulder infections. We hypothesized that multilocus sequence typing (MLST) applying a prior validated rapid high through-put multiplex PCR protocol would segregate C. acnes into distinctive phylogroups associated with periprosthetic infections compared with commensal strains. C. acnes collected between 2015 and 2017 were correlated with the presence or absence of infection in a detailed retrospective chart review. To determine the C. acnes genotype, bacterial genomic DNA isolated from a single patient isolate served as template in a six locus multiplex touchdown PCR assay using organism-specific primers targeting six genes (16S rRNA, ATPase, sodA, Fic toxin, aspD and recA). Isolates were classified as a contaminant in the absence of multiple positive cultures from an anatomic site and without corresponding clinical, laboratory and histopathologic correlates of infection. The assignment of a diagnosis of prosthetic joint infection (PJI) conformed to the definition recommended by the IDSA Clinical Practice Guidelines of PJI. Of the C. acnes recovered from 94 patients, 14 (14.9%) were from patients with shoulder implants of which shoulder PJI was present in 10 individuals (10.6% of the total). The remaining 84 (89.4%) isolates were retrieved from a variety of tissue and fluid samples of which the majority (65.5%) were deemed as contaminants. Overall, phylogroups IA1, IB, and II predominated (79.8%). Although a similar genetic profile was present in all of the shoulder isolates, no phylogroup association was detected with PJI (P < 0.72). No genetic difference was present in the lineage of strains not causing PJI compared with those responsible for PJI (P < 0.25). Our results mirror those from a previous investigation using a less robust four gene MLST PCR based scheme that showed a lack of a phylogenetic association with shoulder PJI. Our results are a reflection of the phylogroup composition of the circulating C. acnes sequence types in our community. All authors: No reported disclosures.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.028
GPT teacher head0.287
Teacher spread0.259 · 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 designBench or experimental
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

Citations2
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueOpen Forum Infectious DiseasesSame topicOrthopedic Infections and TreatmentsFrench-language works237,207