Proteomic characteristics of bronchoalveolar lavage fluid in children with mild and severe Mycoplasma pneumoniae pneumonia
ObjectivesMycoplasma pneumoniae pneumonia (MPP), particularly macrolide-resistant MPP has undergone a prolonged nonseasonal epidemic in China since the lifting of non-pharmaceutical interventions in 2023. This study aimed to identify novel biomarkers to predict disease severity in children with MPP...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-05-01
|
| Series: | Frontiers in Microbiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2025.1595521/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850271566342914048 |
|---|---|
| author | Ao Liang Yaqi Zhu Xiaoxue Wu Qingyan Zhang Yafang He Anbang Wang Anbang Wang Chunchen Wu Chunchen Wu Jianbo Xia Jianbo Xia Jianbo Xia |
| author_facet | Ao Liang Yaqi Zhu Xiaoxue Wu Qingyan Zhang Yafang He Anbang Wang Anbang Wang Chunchen Wu Chunchen Wu Jianbo Xia Jianbo Xia Jianbo Xia |
| author_sort | Ao Liang |
| collection | DOAJ |
| description | ObjectivesMycoplasma pneumoniae pneumonia (MPP), particularly macrolide-resistant MPP has undergone a prolonged nonseasonal epidemic in China since the lifting of non-pharmaceutical interventions in 2023. This study aimed to identify novel biomarkers to predict disease severity in children with MPP and to develop a predictive model.MethodsIn this study, bronchoalveolar lavage fluid (BALF) samples were collected from 30 children, including 15 with mild and 15 with severe MPP, for quantitative proteomic analysis. The two groups were compared and differentially expressed proteins (DEPs) were identified. Core proteins associated with MPP severity were identified using least absolute shrinkage and selection operator (LASSO) analysis. Logistic regression analysis was used to develop a predictive model.ResultsA total of 154 DEPs were identified, of which 57 were upregulated in the severe group. Upregulated signaling was found to be mainly involved in the immune response and inflammatory signaling. Thirteen proteins were selected as core proteins associated with MPP severity. CD209, CHM, PBRM1, and SCAMP1 were the most influential predictors and a predictive model using these four proteins predicted MPP severity.ConclusionA predictive model was developed to assess the potential of using the identified biomarkers to predict disease severity. This model provides insights into the pathogenesis of M. pneumoniae infection.ImportanceDifferences in the proteomic characteristics of bronchoalveolar lavage fluid in children with mild and severe Mycoplasma pneumoniae pneumonia (MPP) were identified, revealing the role of lung-specific immunologic and inflammatory response in the pathogenesis of MPP. Given the increasing incidence of severe MPP in children in recent years and the emergence of macrolide-resistant M. pneumoniae infection in some regions, our findings provided valuable knowledge and insights into the pathogenesis of M. pneumoniae infection. |
| format | Article |
| id | doaj-art-b4ddf0d67d19473f8a7124adb0f0f478 |
| institution | OA Journals |
| issn | 1664-302X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj-art-b4ddf0d67d19473f8a7124adb0f0f4782025-08-20T01:52:11ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2025-05-011610.3389/fmicb.2025.15955211595521Proteomic characteristics of bronchoalveolar lavage fluid in children with mild and severe Mycoplasma pneumoniae pneumoniaAo Liang0Yaqi Zhu1Xiaoxue Wu2Qingyan Zhang3Yafang He4Anbang Wang5Anbang Wang6Chunchen Wu7Chunchen Wu8Jianbo Xia9Jianbo Xia10Jianbo Xia11Department of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Pediatrics, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaSpecAlly Life Technology Co., Ltd., Wuhan, ChinaDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Laboratory Medicine, Hubei University of Chinese Medicine, Wuhan, ChinaDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaHubei Provincial Center for the Prevention and Treatment of Pediatric Infectious Diseases, Wuhan, ChinaDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Laboratory Medicine, Hubei University of Chinese Medicine, Wuhan, ChinaHubei Provincial Center for the Prevention and Treatment of Pediatric Infectious Diseases, Wuhan, ChinaObjectivesMycoplasma pneumoniae pneumonia (MPP), particularly macrolide-resistant MPP has undergone a prolonged nonseasonal epidemic in China since the lifting of non-pharmaceutical interventions in 2023. This study aimed to identify novel biomarkers to predict disease severity in children with MPP and to develop a predictive model.MethodsIn this study, bronchoalveolar lavage fluid (BALF) samples were collected from 30 children, including 15 with mild and 15 with severe MPP, for quantitative proteomic analysis. The two groups were compared and differentially expressed proteins (DEPs) were identified. Core proteins associated with MPP severity were identified using least absolute shrinkage and selection operator (LASSO) analysis. Logistic regression analysis was used to develop a predictive model.ResultsA total of 154 DEPs were identified, of which 57 were upregulated in the severe group. Upregulated signaling was found to be mainly involved in the immune response and inflammatory signaling. Thirteen proteins were selected as core proteins associated with MPP severity. CD209, CHM, PBRM1, and SCAMP1 were the most influential predictors and a predictive model using these four proteins predicted MPP severity.ConclusionA predictive model was developed to assess the potential of using the identified biomarkers to predict disease severity. This model provides insights into the pathogenesis of M. pneumoniae infection.ImportanceDifferences in the proteomic characteristics of bronchoalveolar lavage fluid in children with mild and severe Mycoplasma pneumoniae pneumonia (MPP) were identified, revealing the role of lung-specific immunologic and inflammatory response in the pathogenesis of MPP. Given the increasing incidence of severe MPP in children in recent years and the emergence of macrolide-resistant M. pneumoniae infection in some regions, our findings provided valuable knowledge and insights into the pathogenesis of M. pneumoniae infection.https://www.frontiersin.org/articles/10.3389/fmicb.2025.1595521/fullMycoplasma pneumoniae pneumoniaquantitative proteomicsdifferentially expressed proteinsbronchoalveolar lavage fluidpredictive model |
| spellingShingle | Ao Liang Yaqi Zhu Xiaoxue Wu Qingyan Zhang Yafang He Anbang Wang Anbang Wang Chunchen Wu Chunchen Wu Jianbo Xia Jianbo Xia Jianbo Xia Proteomic characteristics of bronchoalveolar lavage fluid in children with mild and severe Mycoplasma pneumoniae pneumonia Frontiers in Microbiology Mycoplasma pneumoniae pneumonia quantitative proteomics differentially expressed proteins bronchoalveolar lavage fluid predictive model |
| title | Proteomic characteristics of bronchoalveolar lavage fluid in children with mild and severe Mycoplasma pneumoniae pneumonia |
| title_full | Proteomic characteristics of bronchoalveolar lavage fluid in children with mild and severe Mycoplasma pneumoniae pneumonia |
| title_fullStr | Proteomic characteristics of bronchoalveolar lavage fluid in children with mild and severe Mycoplasma pneumoniae pneumonia |
| title_full_unstemmed | Proteomic characteristics of bronchoalveolar lavage fluid in children with mild and severe Mycoplasma pneumoniae pneumonia |
| title_short | Proteomic characteristics of bronchoalveolar lavage fluid in children with mild and severe Mycoplasma pneumoniae pneumonia |
| title_sort | proteomic characteristics of bronchoalveolar lavage fluid in children with mild and severe mycoplasma pneumoniae pneumonia |
| topic | Mycoplasma pneumoniae pneumonia quantitative proteomics differentially expressed proteins bronchoalveolar lavage fluid predictive model |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2025.1595521/full |
| work_keys_str_mv | AT aoliang proteomiccharacteristicsofbronchoalveolarlavagefluidinchildrenwithmildandseveremycoplasmapneumoniaepneumonia AT yaqizhu proteomiccharacteristicsofbronchoalveolarlavagefluidinchildrenwithmildandseveremycoplasmapneumoniaepneumonia AT xiaoxuewu proteomiccharacteristicsofbronchoalveolarlavagefluidinchildrenwithmildandseveremycoplasmapneumoniaepneumonia AT qingyanzhang proteomiccharacteristicsofbronchoalveolarlavagefluidinchildrenwithmildandseveremycoplasmapneumoniaepneumonia AT yafanghe proteomiccharacteristicsofbronchoalveolarlavagefluidinchildrenwithmildandseveremycoplasmapneumoniaepneumonia AT anbangwang proteomiccharacteristicsofbronchoalveolarlavagefluidinchildrenwithmildandseveremycoplasmapneumoniaepneumonia AT anbangwang proteomiccharacteristicsofbronchoalveolarlavagefluidinchildrenwithmildandseveremycoplasmapneumoniaepneumonia AT chunchenwu proteomiccharacteristicsofbronchoalveolarlavagefluidinchildrenwithmildandseveremycoplasmapneumoniaepneumonia AT chunchenwu proteomiccharacteristicsofbronchoalveolarlavagefluidinchildrenwithmildandseveremycoplasmapneumoniaepneumonia AT jianboxia proteomiccharacteristicsofbronchoalveolarlavagefluidinchildrenwithmildandseveremycoplasmapneumoniaepneumonia AT jianboxia proteomiccharacteristicsofbronchoalveolarlavagefluidinchildrenwithmildandseveremycoplasmapneumoniaepneumonia AT jianboxia proteomiccharacteristicsofbronchoalveolarlavagefluidinchildrenwithmildandseveremycoplasmapneumoniaepneumonia |