Evidence map›Paper›PMID 41586312›Full record

ArticleFrontiers in cellular and infection microbiology2025

Clonal replacement by a P1-1/ST3 lineage in pediatric

Ming Fang, Xiao Wang, Xiaolin Yu, Jianmei Yu, Lu Yuan, Shuang Wang, Haijian Zhou, Ti Liu, Huaning Zhang, Zengqiang Kou

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ming Fang *Shandong Center for Disease Control and Prevention, Shandong Province Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases, Jinan, China.
Xiao Wang *Department of Pediatrics, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Xiaolin YuShandong Center for Disease Control and Prevention, Shandong Province Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases, Jinan, China.
Jianmei YuInfection Management Department, Neijiang Second People's Hospital, Neijiang, Sichuan, China.
Lu YuanShandong Center for Disease Control and Prevention, Shandong Province Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases, Jinan, China.
Shuang WangShandong Center for Disease Control and Prevention, Shandong Province Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases, Jinan, China.
Haijian ZhouNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China.
Ti LiuShandong Center for Disease Control and Prevention, Shandong Province Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases, Jinan, China.
Huaning ZhangShandong Center for Disease Control and Prevention, Shandong Province Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases, Jinan, China.
Zengqiang KouShandong Center for Disease Control and Prevention, Shandong Province Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: After a prolonged lull during COVID-19 non-pharmaceutical interventions, Methods: Clinical data were linked to whole-genome sequencing of 227 cultured isolates. We assessed lineage composition and relatedness using core-genome phylogenetics and SNP-threshold networks, and compared diversity and pan-genome functional profiles across major clades. Phenotypic antimicrobial susceptibility testing was performed. Results: The proportion of severe cases increased from 7.4% (2021) to 19.9% (2024). Over the same interval, the P1-1/ST3 lineage rose from 41.9% to 84.0%, displacing previously co-circulating lineages. Core-genome analyses indicated reduced diversity and a compact ST3 cluster within the T1-3R subclade of the P1-type 1 lineage (EC1 clone), alongside a smaller P1-type 2/T2-2 (EC2/ST14) clade. Using a ≤11-SNP threshold, 74% of isolates fell within the largest connected component. Pan-genome comparisons suggested enrichment of replication/recombination/repair functions in T1-3R, whereas canonical adhesion factors and the CARDS toxin were conserved. All isolates carried the 23S rRNA A2063G substitution with phenotypic macrolide resistance, while Discussion: The 2023-2024 resurgence coincided with clonal replacement by P1-1/ST3 in a setting of fixed macrolide resistance and an increase in severe pediatric disease. Given the retrospective, culture-based design, this should be interpreted as a temporal association rather than evidence that ST3 intrinsically caused more severe disease. These findings support consideration of non-macrolide agents in similar high-resistance settings and motivate prospective genomic-clinical surveillance.

Indexed as

Mycoplasma pneumoniaePneumonia, MycoplasmaAnti-Bacterial AgentsChildChild, PreschoolChinaDrug Resistance, BacterialGenome, BacterialHumansMacrolidesMicrobial Sensitivity TestsPhylogenyPolymorphism, Single NucleotideRetrospective StudiesRNA, Ribosomal, 23SWhole Genome SequencingAnti-Bacterial AgentsMacrolidesRNA, Ribosomal, 23Sclonal replacementgenomic epidemiologymacrolide resistanceMycoplasma pneumoniaepediatric pneumoniawhole-genome sequencing

Identifiers

PMID41586312
PMCPMC12827683

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.