Application of targeted metagenomic next-generation sequencing in pneumonia patients

Guanjun Ren1, Liyun Ma1, Chunliang Yan1

  • 1Pulmonary and Critical Care Medicine, Beijing Aerospace General Hospital, Beijing, China.

Microbiology Spectrum
|June 23, 2025
PubMed

Insights

Metagenomic next-generation sequencing (mNGS) methods, including capture hybridization-based (chNGS) and multiplex PCR-based targeted (tNGS), significantly improve pneumonia diagnosis accuracy. Combining chNGS and tNGS offers the highest diagnostic performance for complex infections.

Area of Science:

  • Medical Microbiology
  • Infectious Diseases
  • Genomics

Background:

  • The COVID-19 pandemic has increased mixed infections in severe pneumonia patients, complicating diagnosis and increasing mortality.
  • Accurate and rapid diagnosis of pneumonia, particularly mixed infections, is crucial for effective patient management.

Purpose of the Study:

  • To evaluate the diagnostic performance of capture hybridization-based mNGS (chNGS) and multiplex PCR-based targeted mNGS (tNGS) for pneumonia.
  • To compare mNGS techniques with conventional diagnostic methods.

Main Methods:

  • Retrospective evaluation of 110 patients with suspected pulmonary infections.
  • Analysis of diagnostic performance using final comprehensive clinical diagnoses as the reference standard.
  • Comparison of total coincidence rates (TCR) for chNGS, tNGS, and conventional methods.

Main Results:

  • chNGS achieved a TCR of 64.1%, significantly higher than conventional methods (39.8%).
  • tNGS showed slightly superior performance to chNGS, with chNGS having more false negatives, especially for viral pathogens.
  • Combined chNGS and tNGS improved the TCR to 81.3%.

Conclusions:

  • chNGS and tNGS are valuable tools for diagnosing, managing, and ruling out pneumonia infections.
  • The combination of chNGS and tNGS enhances diagnostic accuracy for complex cases.
  • Widespread application of targeted mNGS is anticipated due to its high sensitivity and low economic burden.

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