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CASE REPORT

Clinical Value of Metagenomics Next-Generation Sequencing in Antibiotic Resistance of a Patient with Severe Refractory Mycoplasma pneumoniae Pneumonia: A Case Report

, , , , , , , & show all
Pages 4593-4597 | Received 16 May 2023, Accepted 28 Jun 2023, Published online: 13 Jul 2023
 

Abstract

Background

Mycoplasma pneumoniae is an important infectious pathogen of lower respiratory tract infection in children and adolescents. Macrolide resistant M. pneumoniae (MRMP) has become increasingly prevalent, and identifying pathogen resistance genes is crucial for treatment.

Case Presentation

We report a patient with severe refractory M. pneumoniae pneumonia (MPP). The failure of initial clinical treatment prompted the re-analysis of metagenomic next-generation sequencing (mNGS) data for macrolide-resistant gene. Macrolide-resistance 23S ribosomal RNA gene was confirmed with read depth of 64 X for the A2063G mutation, which can decrease the affinity of macrolide with M. pneumoniae ribosome resulting in macrolide resistance. Furthermore, antimicrobial susceptibility testing demonstrated that M. pneumoniae was resistant to macrolide. PCR confirmatory test about M. pneumoniae resistance A2063G mutation, clinical treatment course and prognosis with altered treatment strategy, and M. pneumoniae antimicrobial susceptibility confirmed that the severe refractory MPP was due to macrolide resistant M. pneumoniae.

Conclusion

As a new molecular level detection, mNGS is an effective method for detecting M. pneumoniae resistance genes. Early recognition of macrolide resistance and suitable antibiotics strategy is of vital importance for the prognosis of severe refractory MPP.

Data Sharing Statement

All relevant data has been presented in the manuscript and further inquiry can be directed to the corresponding author.

Ethics Statement

This study was approved by the institutional review boards of Peking University First Hospital (2021keyan291). Written informed consent was obtained from the patient and her guardian for publication of this case report.

Disclosure

The authors report no conflicts of interest in this work.

Additional information

Funding

This work was supported by National Key R&D Program of China (Grant number: 2020YFC2005401, 2020YFC2005406), Xicheng financial, scientific and technological project (Grant number: XCSTS-SD2021-02), Project funded by Baidu Fund of Peking University (Grant number: 2020BD045), Capital Health Development Scientific Research Project (Grant number: 2021-1G-4301), and National Natural Science Foundation of China (Grant number: 8211101008).