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Record W4412090216 · doi:10.1128/spectrum.00914-25

Population-based microbiological characterization of <i>Nocardia</i> strains causing invasive infections during a multiyear period in a large Canadian healthcare region

2025· article· en· W4412090216 on OpenAlexaffabout
Deirdre L. Church, Gisele Peirano, Alejandra Ugarte-Torres, Christopher Naugler

Bibliographic record

VenueMicrobiology Spectrum · 2025
Typearticle
Languageen
FieldMedicine
TopicActinomycetales infections and treatment
Canadian institutionsCalgary Laboratory ServicesUniversity of CalgaryAlberta Health Services
Fundersnot available
KeywordsNocardiaBiologyMicrobiologyNocardia InfectionsPopulationNocardiosis23S ribosomal RNA16S ribosomal RNALinezolidAmikacinAntibioticsMedicineVancomycinStaphylococcus aureusGeneticsBacteriaGene

Abstract

fetched live from OpenAlex

ABSTRACT The role of specific Nocardia species in human infections continues to expand as advanced methods enable species/species complex identification. We conducted a multiyear population-based (2010–2022) characterization of invasive Nocardia spp. Isolates were analyzed using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) and 16S rRNA gene sequencing. A total of 94 cases and 117 unique 16S rRNA gene sequences were evaluated from pulmonary (53%), skin and soft tissues (SSTIs) (29%), central nervous system (CNS) (7%), bloodstream (6%), and other sites of infection. Infections were mainly caused by three species complexes: N. farcinica ( n = 20, 21.3%), N. cyriacigeorgica ( n = 16, 17%), and N. nova ( n = 15, 16%). Phylogenetic analysis correlated with the clinical site of infection. Most N. cyriciageorgica (92%) complex isolates caused SSTIs or pulmonary infections, and most N. farcinica complex (67%) and N. nova complex (69%) isolates caused pulmonary and CNS infections, respectively. Several other unique Nocardia spp. rarely caused invasive infections (≤5 cases): (i) pulmonary ( N. abscessus complex, N. amamiensis , N. asteroides , N. otitidiscaviarum complex, N. sputorum , N. transvalensis complex, Nocardiopsis spp., Pseudonocardia spp.); (ii) SSTIs ( N. otitidiscaviarum complex); and (iii) CNS ( N. flavorosea and N. paucivorans complex). Nocardia species were highly susceptible to amikacin, trimethoprim-sulfamethoxazole, moxifloxacin, and linezolid. Imipenem resistance occurred in the N. farcinica complex and N. nova complex, while ceftriaxone resistance only occurred in the former. Antibiotic profiles varied for rare Nocardia spp. Species-level Nocardia identification using MALDI-TOF MS and 16S rRNA gene sequencing improves understanding of these organisms’ unique roles in causing invasive disease. IMPORTANCE Nocardia spp. are a rare cause of invasive infections, particularly in immunocompromised patients. The role of specific Nocardia species in human infections continues to expand as advanced methods enable species/species complex identification. We conducted a multiyear population-based (2010–2022) characterization of invasive Nocardia spp. Isolates were analyzed using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) and 16S rRNA gene sequencing. A total of 94 cases included pulmonary infections (53%), skin and soft tissue infections (29%), central nervous system infections (7%), bloodstream infections (6%), and septic arthritis and intra-abdominal infections (5%). One hundred seventeen unique 16S rRNA gene sequences from clinical isolates were analyzed. Phylogenetic analysis correlated with the clinical site of infection. Nocardia species were highly susceptible to amikacin, trimethoprim-sulfamethoxazole, moxifloxacin, and linezolid. Imipenem resistance only occurred in N. farcinica complex and N. nova complex strains, and ceftriaxone resistance only occurred in the former. Species-level Nocardia identification using MALDI-TOF MS and 16S sequencing improves understanding of these organisms’ unique roles in invasive 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 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)0.000
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 score0.222
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.009
GPT teacher head0.248
Teacher spread0.239 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

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