Epidemic features and megagenomic analysis of childhood Mycoplasma pneumoniae post COVID-19 pandemic: a 6-year study in southern China

With the atypical rise of Mycoplasma pneumoniae infection (MPI) in 2023, prompt studies are needed to determine the current epidemic features and risk factors with emerging trends of MPI to furnish a framework for subsequent investigations. This multicentre, retrospective study was designed to analy...

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Main Authors: Yi Xu, Chen Yang, Panpan Sun, Fansen Zeng, Qian Wang, Jianlong Wu, Chunxiao Fang, Che Zhang, Jinping Wang, Yiling Gu, Xiaohuan Wu, Xiaoxian Zhang, Bin Yang, Juhua Yang, Hongwei Zhang, Jiacee Lian, Jinqiu Zhang, Li Huang, Qizhou Lian
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Emerging Microbes and Infections
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Online Access:https://www.tandfonline.com/doi/10.1080/22221751.2024.2353298
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author Yi Xu
Chen Yang
Panpan Sun
Fansen Zeng
Qian Wang
Jianlong Wu
Chunxiao Fang
Che Zhang
Jinping Wang
Yiling Gu
Xiaohuan Wu
Xiaoxian Zhang
Bin Yang
Juhua Yang
Hongwei Zhang
Jiacee Lian
Jinqiu Zhang
Li Huang
Qizhou Lian
author_facet Yi Xu
Chen Yang
Panpan Sun
Fansen Zeng
Qian Wang
Jianlong Wu
Chunxiao Fang
Che Zhang
Jinping Wang
Yiling Gu
Xiaohuan Wu
Xiaoxian Zhang
Bin Yang
Juhua Yang
Hongwei Zhang
Jiacee Lian
Jinqiu Zhang
Li Huang
Qizhou Lian
author_sort Yi Xu
collection DOAJ
description With the atypical rise of Mycoplasma pneumoniae infection (MPI) in 2023, prompt studies are needed to determine the current epidemic features and risk factors with emerging trends of MPI to furnish a framework for subsequent investigations. This multicentre, retrospective study was designed to analyse the epidemic patterns of MPI before and after the COVID-19 pandemic, as well as genotypes and the macrolide-resistance-associated mutations in MP sampled from paediatric patients in Southern China. Clinical data was collected from 1,33,674 patients admitted into investigational hospitals from 1 June 2017 to 30 November 2023. Metagenomic next-generation sequencing (mNGS) data were retrieved based on MP sequence positive samples from 299 paediatric patients for macrolide-resistance-associated mutations analysis. Pearson's chi-squared test was used to compare categorical variables between different time frames. The monthly average cases of paediatric common respiratory infection diseases increased without enhanced public health measures after the pandemic, especially for influenza, respiratory syncytial virus infection, and MPI. The contribution of MPI to pneumoniae was similar to that in the outbreak in 2019. Compared to mNGS data between 2019–2022 and 2023, the severity of MP did not grow stronger despite higher rates of macrolide-resistance hypervariable sites, including loci 2063 and 2064, were detected in childhood MP samples of 2023. Our findings indicated that ongoing surveillance is necessary to understand the impact of post pandemic on MP transmission disruption during epidemic season and the severity of clinical outcomes in different scenarios.
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spelling doaj-art-675a92502aaa442dadd2cc57c4bc87c22025-08-20T02:37:32ZengTaylor & Francis GroupEmerging Microbes and Infections2222-17512024-12-0113110.1080/22221751.2024.2353298Epidemic features and megagenomic analysis of childhood Mycoplasma pneumoniae post COVID-19 pandemic: a 6-year study in southern ChinaYi Xu0Chen Yang1Panpan Sun2Fansen Zeng3Qian Wang4Jianlong Wu5Chunxiao Fang6Che Zhang7Jinping Wang8Yiling Gu9Xiaohuan Wu10Xiaoxian Zhang11Bin Yang12Juhua Yang13Hongwei Zhang14Jiacee Lian15Jinqiu Zhang16Li Huang17Qizhou Lian18Department of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, People’s Republic of ChinaPrenatal Diagnostic Center and Cord Blood Bank, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, People’s Republic of ChinaFaculty of Synthetic Biology, Shenzhen University of Advanced Technology; Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People’s Republic of ChinaDepartment of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, People’s Republic of ChinaDepartment of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, People’s Republic of ChinaDepartment of Pharmacy, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, People’s Republic of ChinaDepartment of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, People’s Republic of ChinaDepartment of Pharmacy, South China Hospital, Medical School, Shenzhen University, Shenzhen, People’s Republic of ChinaDepartment of Pharmacy, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, People’s Republic of ChinaDepartment of Infectious Diseases, Guangzhou Children’s Hospital, Guangzhou, People’s Republic of ChinaDepartment of Infectious Diseases, Guangzhou Children’s Hospital, Guangzhou, People’s Republic of ChinaPrenatal Diagnostic Center and Cord Blood Bank, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, People’s Republic of ChinaVision Medicals Co., Ltd., Guangzhou, People’s Republic of ChinaVision Medicals Co., Ltd., Guangzhou, People’s Republic of ChinaDepartment of Navy Epidemiology, Faculty of Naval Medicine, Naval Medical University (Second Military Medical University), Shanghai, People’s Republic of ChinaSchool of Health Sciences, Ngee Ann Polytechnic, Singapore, SingaporePrenatal Diagnostic Center and Cord Blood Bank, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, People’s Republic of ChinaPrenatal Diagnostic Center and Cord Blood Bank, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, People’s Republic of ChinaPrenatal Diagnostic Center and Cord Blood Bank, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, People’s Republic of ChinaWith the atypical rise of Mycoplasma pneumoniae infection (MPI) in 2023, prompt studies are needed to determine the current epidemic features and risk factors with emerging trends of MPI to furnish a framework for subsequent investigations. This multicentre, retrospective study was designed to analyse the epidemic patterns of MPI before and after the COVID-19 pandemic, as well as genotypes and the macrolide-resistance-associated mutations in MP sampled from paediatric patients in Southern China. Clinical data was collected from 1,33,674 patients admitted into investigational hospitals from 1 June 2017 to 30 November 2023. Metagenomic next-generation sequencing (mNGS) data were retrieved based on MP sequence positive samples from 299 paediatric patients for macrolide-resistance-associated mutations analysis. Pearson's chi-squared test was used to compare categorical variables between different time frames. The monthly average cases of paediatric common respiratory infection diseases increased without enhanced public health measures after the pandemic, especially for influenza, respiratory syncytial virus infection, and MPI. The contribution of MPI to pneumoniae was similar to that in the outbreak in 2019. Compared to mNGS data between 2019–2022 and 2023, the severity of MP did not grow stronger despite higher rates of macrolide-resistance hypervariable sites, including loci 2063 and 2064, were detected in childhood MP samples of 2023. Our findings indicated that ongoing surveillance is necessary to understand the impact of post pandemic on MP transmission disruption during epidemic season and the severity of clinical outcomes in different scenarios.https://www.tandfonline.com/doi/10.1080/22221751.2024.2353298Mycoplasma pneumoniaemacrolide-resistance-associated mutationpublic health measurepaediatric infectious diseasespost COVID-19 pandemic
spellingShingle Yi Xu
Chen Yang
Panpan Sun
Fansen Zeng
Qian Wang
Jianlong Wu
Chunxiao Fang
Che Zhang
Jinping Wang
Yiling Gu
Xiaohuan Wu
Xiaoxian Zhang
Bin Yang
Juhua Yang
Hongwei Zhang
Jiacee Lian
Jinqiu Zhang
Li Huang
Qizhou Lian
Epidemic features and megagenomic analysis of childhood Mycoplasma pneumoniae post COVID-19 pandemic: a 6-year study in southern China
Emerging Microbes and Infections
Mycoplasma pneumoniae
macrolide-resistance-associated mutation
public health measure
paediatric infectious diseases
post COVID-19 pandemic
title Epidemic features and megagenomic analysis of childhood Mycoplasma pneumoniae post COVID-19 pandemic: a 6-year study in southern China
title_full Epidemic features and megagenomic analysis of childhood Mycoplasma pneumoniae post COVID-19 pandemic: a 6-year study in southern China
title_fullStr Epidemic features and megagenomic analysis of childhood Mycoplasma pneumoniae post COVID-19 pandemic: a 6-year study in southern China
title_full_unstemmed Epidemic features and megagenomic analysis of childhood Mycoplasma pneumoniae post COVID-19 pandemic: a 6-year study in southern China
title_short Epidemic features and megagenomic analysis of childhood Mycoplasma pneumoniae post COVID-19 pandemic: a 6-year study in southern China
title_sort epidemic features and megagenomic analysis of childhood mycoplasma pneumoniae post covid 19 pandemic a 6 year study in southern china
topic Mycoplasma pneumoniae
macrolide-resistance-associated mutation
public health measure
paediatric infectious diseases
post COVID-19 pandemic
url https://www.tandfonline.com/doi/10.1080/22221751.2024.2353298
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