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Record W6923579605 · doi:10.14288/1.0447776

Beneath the surface: unraveling Mycobacterium abscessus morphotypes, resistance and clinical challenges in treatment

2025· article· en· W6923579605 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2025
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsnot available
Fundersnot available
KeywordsMycobacterium abscessusGenotypeImmune systemCystic fibrosisMacrophageLung infectionAntibioticsPhenotypeBacteria

Abstract

fetched live from OpenAlex

Mycobacterium abscessus (MABS) exhibits resistance mechanisms that share features with Mycobacterium tuberculosis, yet gaps remain in understanding the phenotypic and genotypic aspects of persistent infections. The transition from smooth (S) to rough (R) morphotypes, primarily regulated by the glycopeptidolipid (GPL) gene locus, is associated with reduced GPL levels and increased virulence. In the R morphotype, bacteria form cords that help them evade the host immune response, leading to infection persistence. This study paired culture-based and molecular methods to elucidate the relationship between phenotypic characteristics and genetic determinants in clinical MABS strains isolated from 19 long-term cystic fibrosis patients in Vancouver, Canada. Strains were analyzed using antibiotic testing, lipid analysis, infection modeling and whole-genome sequencing (WGS). Deviations from the previously described S and R morphotypes discrete morphologies were observed, with heterogenous populations found in half of clinical strains. Lipid analysis confirmed GPL profiles matched the assigned morphotypes, except in seven strains that expressed GPL yet were classified as R. A subset of 25 strains from five patients was evaluated for bacterial growth during infection of THP-1 macrophages. Notably, a morphotype transition from S to R was observed in three patients with declining lung function. Contrary to prior observations with reference strains, the R isolates replicated significantly faster than the S isolates in the macrophage infection model. Importantly, the results of the ex vivo macrophage growth assay reliably predicted lung function stability or decline in isolates collected over the course of chronic infections. This study is the first to directly quantify intracellular replication rates and correlate them with pulmonary deterioration. Through the analysis of isogenic pairs and serial isolates, the inherent plasticity of rough strains within and between patients is underscored, manifesting in variable replication rates and increasing drug resistance in later-stage isolates. While the study confirmed the correlation between morphotype and GPL levels, it unveiled greater variability within morphotype groups than previously recognized, particularly during intracellular infection. These findings contribute to the expanding knowledge base surrounding MABS infections, offering insights that can inform future research, diagnostic methodologies, and treatment approaches.

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)0.001
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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.029
GPT teacher head0.262
Teacher spread0.232 · 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
Published2025
Admission routes1
Has abstractyes

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