Related Experiment Video
Updated: Nov 17, 2025

Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples
Published on: December 22, 2014
Improving Pulmonary Infection Diagnosis with Metagenomic Next Generation Sequencing
Yi-Yi Qian1, Hong-Yu Wang1, Yang Zhou1
1Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Abstract:
Pulmonary infections are among the most common and important infectious diseases due to their high morbidity and mortality, especially in older and immunocompromised individuals. However, due to the limitations in sensitivity and the long turn-around time (TAT) of conventional diagnostic methods, pathogen detection and identification methods for pulmonary infection with greater diagnostic efficiency are urgently needed. In recent years, unbiased metagenomic next generation sequencing (mNGS) has been widely used to detect different types of infectious pathogens, and is especially useful for the detection of rare and newly emergent pathogens, showing better diagnostic performance than traditional methods. There has been limited research exploring the application of mNGS for the diagnosis of pulmonary infections. In this study we evaluated the diagnostic efficiency and clinical impact of mNGS on pulmonary infections. A total of 100 respiratory samples were collected from patients diagnosed with pulmonary infection in Shanghai, China. Conventional methods, including culture and standard polymerase chain reaction (PCR) panel analysis for respiratory tract viruses, and mNGS were used for the pathogen detection in respiratory samples. The difference in the diagnostic yield between conventional methods and mNGS demonstrated that mNGS had higher sensitivity than traditional culture for the detection of pathogenic bacteria and fungi (95% vs 54%; p<0.001). Although mNGS had lower sensitivity than PCR for diagnosing viral infections, it identified 14 viral species that were not detected using conventional methods, including multiple subtypes of human herpesvirus. mNGS detected viruses with a genome coverage >95% and a sequencing depth >100× and provided reliable phylogenetic and epidemiological information. mNGS offered extra benefits, including a shorter TAT. As a complementary approach to conventional methods, mNGS could help improving the identification of respiratory infection agents. We recommend the timely use of mNGS when infection of mixed or rare pathogens is suspected, especially in immunocompromised individuals and or individuals with severe conditions that require urgent treatment.
Insights
Metagenomic next-generation sequencing (mNGS) offers higher sensitivity for detecting bacteria and fungi in pulmonary infections compared to traditional methods. This advanced technique aids in identifying rare pathogens and provides valuable data, improving diagnosis, especially for vulnerable patients.
Area of Science:
- Clinical microbiology
- Infectious diseases
- Genomics
Background:
- Pulmonary infections cause significant morbidity and mortality, particularly in vulnerable populations.
- Conventional diagnostic methods for pulmonary infections have limitations in sensitivity and turnaround time (TAT).
- Metagenomic next-generation sequencing (mNGS) shows promise for pathogen detection but requires further evaluation in pulmonary infections.
Purpose of the Study:
- To evaluate the diagnostic efficiency and clinical impact of mNGS for pulmonary infections.
- To compare the performance of mNGS against conventional diagnostic methods (culture, PCR).
Main Methods:
- Collected 100 respiratory samples from patients with pulmonary infections in Shanghai, China.
- Utilized conventional methods (culture, PCR) and unbiased mNGS for pathogen detection.
- Analyzed diagnostic yield, sensitivity, specificity, and TAT of each method.
Main Results:
- mNGS demonstrated significantly higher sensitivity than culture for bacteria and fungi (95% vs. 54%; p<0.001).
- mNGS identified 14 additional viral species, including human herpesvirus subtypes, not detected by conventional methods.
- mNGS provided reliable phylogenetic and epidemiological information with high genome coverage and sequencing depth, and offered a shorter TAT.
Conclusions:
- mNGS is a valuable complementary tool for identifying respiratory infection agents, especially mixed or rare pathogens.
- mNGS shows superior sensitivity for bacterial and fungal detection and expands viral identification compared to traditional methods.
- Timely use of mNGS is recommended for immunocompromised or severely ill patients with suspected complex pulmonary infections.

