Genfeng Wu , Yuejie Zheng , Kangyan Yuan , Yanmin Bao , Li Li , Yuzheng Li , Wenjian Wang , Heping Wang
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引用次数: 0
Abstract
Background
Following pandemic control optimization, Mycoplasma pneumoniae (MP) has emerged as a predominant pediatric respiratory pathogen in Shenzhen. Understanding its epidemiological patterns and drug resistance is critical for managing severe MP-associated pneumonia.
Methods
This retrospective study analyzed 607 hospitalized children (February–November 2023) using targeted next-generation sequencing (tNGS) of bronchoalveolar lavage fluid. MP-positive cases were stratified by age, gender, clinical features, drug resistance genes, and co-detection profiles.
Results
Pathogens were identified in 605 cases (99.7 %), with MP constituting 85.0 % of detected pathogens. Among 209 cases with resistance genes, A2063G mutation predominated (98.1 %). Patients were categorized into: MP-positive (n = 444), MP-carriage (n = 72), and MP-negative (n = 91) groups. Age stratification revealed significantly older MP-positive patients (median 72 months, IQR 48–96) versus carriages (29.5 months, IQR 14–60) and negatives (36 months, IQR 16–60) (P< 0.001). Gender distribution showed no significant intergroup differences (χ2 = 2.619, p = 0.270). The MP-positive group demonstrated lower co-detection rates of Haemophilus influenzae (12.2 % vs 37.5 %/31.5 %) and Moraxella catarrhalis (10.6 % vs 25.0 %/20.2 %) compared to carriages and negatives (P < 0.001). tNGS uncovered atypical pathogens including Tropheryma whipplei (13.3 %) and Fusobacterium nucleatum (6.3 %).
Conclusion
Post-pandemic MP resurgence correlates with increased severe pediatric pneumonia despite declining macrolide resistance rates (23.2 % in 2023 vs historical 80–90 %). MP primarily manifests as monoinfections, while M. catarrhalis and H. influenzae co-detection may confer observed co-detection pattern. These findings underscore tNGS's clinical utility in identifying atypical pathogens and guiding antimicrobial stewardship in pediatric pneumonia management.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .