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Record W2583820511 · doi:10.1093/ofid/ofw172.44

Evaluation of the Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry for the Identification of Cystic Fibrosis Pathogens

2016· article· en· W2583820511 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOpen Forum Infectious Diseases · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnterobacteriaceae and Cronobacter Research
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsMedicineMass spectrometryCystic fibrosisIdentification (biology)Time-of-flight mass spectrometryPathogenic organismChromatographyIonizationMicrobiologyInternal medicineBiologyPhysicsChemistry

Abstract

fetched live from OpenAlex

Background. Accurate and timely identification of organisms recovered from respiratory specimens of cystic fibrosis (CF) patients is crucial for effective management. Identification of nonfermenting Gram-negative bacilli (NFGNB) from respiratory cultures of CF patients is challenging; traditional biochemical tests, APINE, 16S rRNA sequencing, or a combination of these methods are used for identification of these organisms. Few studies have validated the use of matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) for the identification of NFGNB in CF patients. Methods. Two hundred forty NFGNB were isolated from respiratory specimens of CF patients at the Hospital For Sick Children between January 2013 and June 2015. Frozen isolates were subcultured onto 5% sheep blood agar before analysis was performed using the Burker Microflex LT MS system and interpreted with the Biotyper software (version 3.1). Reference identification was by partial 16S rRNA gene amplification and sequencing. Organisms identified were as follows: Achromobacter (64), Burkholderia (Burkholderia cepacia complex [BCC] [34], Burkholderia multivorans [37], and Burkholderia gladioli [8]), Chryseobacterium (16), Cupriavidus (8), Inquilinus (18), Pseudomonas (15), and Sphingobacterium (8) species. Others were as follows: Acinetobacter (5), Bordetella (3), Comamonas (1), Delftia (1), Elizabethkingia (5), Moraxella (1), Neisseria (2), Pandoraea (4), Pantoea (1), Ralstonia (4), and Stenotrophomonas (5). Results. The MALDI-TOF MS correctly identified 100% of the NFGNB isolates to genus level. All isolates of B gladioli, Inquilinus limosus, Pseudomonas aeruginosa, Ralstonia species, Stenotrophomonas maltophilia, and Sphingobacterium species were also correctly identified to species level. Although MALDI-TOF MS provided identification to species level for some of the Achromobacter, Chryseobacterium, Elizabethkingia, and Pandoraea isolates, the accuracy of these identifications cannot be confirmed due to limitations of partial 16S rRNA sequencing. The MALDI-TOF MS accurately identified B multivorans but cannot reliably provide genomovar typing of other BCC. Conclusion. The MALDI-TOF MS accurately identified NFGNB, which are challenging to identify by conventional methods from CF respiratory specimens to the genus level. Further molecular characterization is still required to appropriately speciate certain genera. Disclosures. 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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.193

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 studies0.0000.000
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 head0.014
GPT teacher head0.297
Teacher spread0.283 · 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