Evidence Hub

Genomic epidemiology and resistance determinants of Pseudomonas aeruginosa in bronchiectasis across China: a multicentre study

Lin-Lin Xu, Qing Chen, Ai-Kuang Ma, Kang Xu, Lianyan Xie, Jingyong Sun, Xiao-Li Wang

International Journal of Antimicrobial Agents, 2026

Abstract

OBJECTIVES

To characterise the genomic epidemiology and resistance determinants of bronchiectasis-associated Pseudomonas aeruginosa in a multicentre cohort.

METHODS

We analysed 306 first non-duplicate P. aeruginosa isolates (2019-2021). Antimicrobial susceptibility was determined by broth microdilution and mucoid phenotype was recorded. Whole-genome sequencing was used for MLST, core-genome SNP phylogeny, resistance and virulence gene screening, and amino-acid variation in gyrA/gyrB/parC/parE, oprD, efflux regulators and mucoidy regulators (mucA, algU, mucB and mucD).

RESULTS

Mucoid isolates comprised 68.6% of the collection. 201 sequence types indicated a polyclonal population without geographic or phenotype-specific clustering. Resistance was highest to levofloxacin (41.5%) and ciprofloxacin (39.2%), and lowest to amikacin (0.3%). Multidrug-resistant isolates accounted for 16.3%. Species-associated determinants were near-universal (blaPAO, aph(3')-IIb, fosA, catB7 and blaOXA-50), whereas acquired genes were uncommon. Among fluoroquinolone-resistant isolates, 97.0% carried amino-acid changes in at least one quinolone target gene, with canonical QRDR hotspots alongside additional variants such as gyrA (S912_E913del) and gyrB (H148N). In imipenem-resistant isolates, oprD variation was detected in 98.1% (52/53). Mucoid isolates were enriched for mucA variation (88.6% vs 57.3%). Virulence profiling revealed a largely conserved repertoire characterised by alginate regulation,…

How strong is the evidence?

Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free