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Record W4409963130 · doi:10.1128/msystems.00371-25

Longitudinal surveillance of the molecular evolution of methicillin-resistant <i>Staphylococcus aureus</i> isolates from pediatric patients in Shanghai, China, from 2013 to 2022

2025· article· en· W4409963130 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

VenuemSystems · 2025
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsClindamycinVirulenceStaphylococcus aureusMethicillin-resistant Staphylococcus aureusBiologyAntibiotic resistanceMolecular epidemiologyclone (Java method)ErythromycinMicrobiologyMedicineAntibioticsGeneticsGeneGenotypeBacteria

Abstract

fetched live from OpenAlex

ABSTRACT The objective of this research was to investigate the genomic epidemiology of methicillin-resistant Staphylococcus aureus (MRSA) in a pediatric population in Shanghai, China. Whole-genome sequencing was conducted for 492 randomly selected MRSA isolates obtained from a pediatric hospital between 2013 and 2022. ST59 (37.4%), ST398 (22.4%), ST88 (5.7%), and ST22 (5.5%) were the predominant lineages among these children. While ST59 maintained a dominant annual proportion before 2017, the proportion of ST398 gradually increased from 2013 to 2016, with ST398 ultimately emerging as a prevalent clone with a proportion comparable to that of ST59 after 2017. Among the prevalent STs, the spa -SCC mec structure also experienced dynamic changes. Within ST59, the t437-IV subtype experienced a decline and has even been replaced by t172-IV in recent years. In ST398, the t011-V subtype appeared in 2014 and rapidly became the leading subtype. The antibiotic resistance profiles and virulence factors exhibited clone-related features. Compared with other prevalent lineages, ST59 presented high resistance to erythromycin and clindamycin, whereas ST398 presented relatively low resistance to common antimicrobial agents and fewer virulence determinants. Panton-Valentine leucocidin was more common in ST338 and ST1232, whereas toxic shock syndrome toxin was closely associated with ST1 and ST5. The MRSA cases could also be classified into community- and hospital-associated cases, with highly significant differences between the two in terms of demographic characteristics, clindamycin susceptibility, and virulence genes. In conclusion, this study revealed high genetic diversity and dynamic changes in the molecular epidemiology of pediatric MRSA isolates from Shanghai collected over a decade. IMPORTANCE Methicillin-resistant Staphylococcus aureus (MRSA) has emerged as a significant global health concern. Previous research on MRSA epidemiology has predominantly focused on adult populations or targeted specific infection sites, while there was limited research on the long-term evolution of MRSA from the pediatric population. This study addresses this knowledge gap by conducting a comprehensive, 10-year surveillance of pediatric MRSA isolates using whole-genome sequencing. We characterized the molecular typing, as well as the phenotypic and genotypic antimicrobial resistance profiles, and virulence factors present in MRSA isolates obtained from children. Our results highlight the imperative for continuous, vigilant monitoring of MRSA within the pediatric demographic to track its evolving genetic landscape.

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)0.000
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 score0.220
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
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 head0.007
GPT teacher head0.241
Teacher spread0.234 · 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