Post-COVID-19 disruption of the respiratory microbiome modulates Mycoplasma pneumoniae: a multi-center retrospective
Shiyu Huang1, Shengkai Li2, Ruike Zhao3
1Department of Infectious Disease, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Abstract:
Since the COVID-19 pandemic, there has been a notable resurgence of Mycoplasma pneumoniae pneumonia (MPP) in children, with a concerning rise in the severity of cases. Although changes in post-pandemic respiratory infection patterns have been documented, the reasons behind the increased severity of MPP, especially concerning shifts in the respiratory microbiota, are not well understood. This study aims to explore how pandemic-associated disruptions in respiratory microbiota contribute to MPP severity. Through analysis of multiple independent cohorts, we found that the depletion of protective respiratory microbiota exacerbates MPP severity by reducing colonization resistance against M. pneumoniae. We identified two antagonistic microbiota modules with distinct metabolic features and community structures that regulate pathogen colonization and disease severity. Using a Susceptible-Infected-Recovered (SIR) model, we simulated M. pneumoniae infection dynamics across different microbiota states. Additionally, a machine-learning model based on eight key microbes effectively distinguished between cases and controls and predicted infection severity, offering insights into post-pandemic respiratory infections. This study underscores the essential role of the respiratory microbiota in influencing the severity of M. pneumoniae infections. Our findings offer a framework for managing respiratory infections in the post-pandemic era, highlighting the significance of understanding microbial community dynamics in determining disease outcomes. These insights could guide the development of therapeutic strategies focused on restoring or enhancing the protective microbiota, which may offer an effective strategy for the management of MPP and other respiratory infections.
Insights
Post-pandemic, Mycoplasma pneumoniae pneumonia (MPP) severity increased in children due to depleted respiratory microbiota. Restoring protective microbes may help manage MPP and other respiratory infections.
Area of Science:
- Microbiology
- Infectious Diseases
- Computational Biology
Background:
- A resurgence of Mycoplasma pneumoniae pneumonia (MPP) in children has been observed post-COVID-19 pandemic, with increased disease severity.
- The underlying reasons for this increased severity, particularly shifts in the respiratory microbiota, remain poorly understood.
- Understanding these microbial shifts is crucial for managing post-pandemic respiratory infections.
Purpose of the Study:
- To investigate how pandemic-related disruptions in the respiratory microbiota influence the severity of Mycoplasma pneumoniae pneumonia (MPP).
- To identify specific microbial communities and their roles in regulating M. pneumoniae colonization and disease progression.
- To develop predictive models for MPP severity based on microbial composition.
Main Methods:
- Analysis of multiple independent patient cohorts to assess respiratory microbiota composition.
- Identification of microbial modules associated with M. pneumoniae colonization and disease severity.
- Utilized a Susceptible-Infected-Recovered (SIR) model to simulate infection dynamics under varying microbiota conditions.
- Developed a machine-learning model incorporating eight key microbial species to predict MPP cases and severity.
Main Results:
- Depletion of protective respiratory microbiota was found to exacerbate MPP severity by compromising colonization resistance against M. pneumoniae.
- Two distinct antagonistic microbiota modules, differing in metabolic features and community structure, were identified as key regulators of pathogen colonization and disease.
- The machine-learning model effectively differentiated between infected individuals and controls and predicted infection severity.
- Simulations using the SIR model provided insights into M. pneumoniae infection dynamics influenced by different microbiota states.
Conclusions:
- The respiratory microbiota plays a critical role in determining the severity of Mycoplasma pneumoniae infections.
- Disruptions to the respiratory microbiota, particularly depletion of protective members, contribute significantly to increased MPP severity.
- Findings provide a framework for managing post-pandemic respiratory infections by targeting microbial community dynamics.
- Restoring or enhancing protective microbiota may represent a viable therapeutic strategy for MPP and other respiratory infections.
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