Sep 2026· Frontiers in Microbiology· 0 citations· 19 references
Antibiotic Resistance in Bacteria
Abstract
To investigate the molecular epidemiology and resistance mechanisms of carbapenem-resistant Enterobacteriaceae (CRE) with a specific phenotype resistant to ertapenem, but susceptible to meropenem and imipenem.
Escherichia coli
isolates (
n
= 424) were collected across the country; 54 isolates were CRE, of which 14 isolates were resistant to ertapenem but susceptible to meropenem and imipenem. Antimicrobial susceptibility testing were conducted using 17 drugs on the 14 isolates. Whole-genome sequencing (WGS) was used to analyze the isolates’ drug resistance genes carried, plasmid types, virulence genes, and drug resistance homology. Furthermore, efflux pumps and outer membrane proteins were analyzed.
Only 25.9% of the CRE isolates were resistant to ertapenem, and no carbapenemase genes were detected in any isolate. All 14 isolates carried the genes encoding extended-spectrum β-lactamase (ESBLs), and 8
bla
CTX-M
subtypes were identified. Among these,
bla
CTX-M-15
(5 isolates) and
bla
CTX-M-14
(3 isolates) were the most prevalent. IncF plasmids (IncFIB, IncFIA, and IncFII) were the predominant plasmid types. Ten isolates simultaneously carried the highly virulent genes
iucC
and
iutA
. Efflux pump inhibition experiments with 14 isolates yielded negative results. Outer membrane protein analysis revealed that five of the isolates lacked OmpC. After genetic complementation with the outer membrane protein
ompC
gene, the minimum inhibitory concentration of ertapenem decreased 16–533 fold. Nine isolates with detectable OmpC expression also presented ertapenem monoresistance. Porin-coding gene disruption,
ramA/marA
gain-of-function mutations and efflux overexpression were excluded. Although these isolates harbored ESBL-encoding genes, ESBL alone could not confer ertapenem resistance. Potential mechanisms may include post-transcriptional porin repression, chromosomal
ompC
up-regulation or other permeability-altering chromosomal variants, and their precise mechanisms remain to be elucidated.
These results suggest that the loss of outer membrane protein OmpC may be a key factor contributing to ertapenem resistance in carbapenemase-negative
E. coli
strains, and efflux pumps do not appear to mediate this resistance phenotype.
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.