Application of targeted next-generation sequencing for detecting respiratory pathogens in the sputum of patients with pulmonary infections

Targeted next-generation sequencing (tNGS) might be valuable for identifying disease-causing pathogens. Herein, we assessed the utility of tNGS in diagnosing pulmonary infections using sputum samples. We gathered complete clinical information and tested the specimens using both conventional microbiological tests (CMTs) and tNGS. The goal was to compare the effectiveness of these two methods in detecting viral, bacterial, and fungal pathogens. Notably, tNGS demonstrated a higher pathogen detection rate compared to CMTs (80.26 % [122/152] vs. 33.55 % [51/152], P = 0.029). Specifically, tNGS was more effective in detecting viruses than CMTs (90.00 % vs. 28.07 %, P = 0.003). Moreover, tNGS detected certain fungi, such as Candida albicans and Cryptococcus neoformans, although the difference between the two assays was not statistically significant (P > 0.05). Our findings reveal that tNGS offers significant advantages in detecting pathogens in patients with lung infections, particularly for bacteria and viruses, providing valuable information that complements CMTs.

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Publication Details

Journal
Infection Genetics and Evolution
Published
2025-02-04
DOI
https://doi.org/10.1016/j.meegid.2025.105722
Citations
3
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
4.06

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article

Application of targeted next-generation sequencing for detecting respiratory pathogens in the sputum of patients with pulmonary infections

Yuanhong Xu, Tze‐Chiang Meng, Huijuan Da
3 citations
Infection Genetics and Evolution
Respiratory viral infections research
4.06
article

Application of targeted next-generation sequencing for detecting respiratory pathogens in the sputum of patients with pulmonary infections

Yuanhong Xu, Tze‐Chiang Meng, Huijuan Da
article en
3 citations

Abstract

Targeted next-generation sequencing (tNGS) might be valuable for identifying disease-causing pathogens. Herein, we assessed the utility of tNGS in diagnosing pulmonary infections using sputum samples. We gathered complete clinical information and tested the specimens using both conventional microbiological tests (CMTs) and tNGS. The goal was to compare the effectiveness of these two methods in detecting viral, bacterial, and fungal pathogens. Notably, tNGS demonstrated a higher pathogen detection rate compared to CMTs (80.26 % [122/152] vs. 33.55 % [51/152], P = 0.029). Specifically, tNGS was more effective in detecting viruses than CMTs (90.00 % vs. 28.07 %, P = 0.003). Moreover, tNGS detected certain fungi, such as Candida albicans and Cryptococcus neoformans, although the difference between the two assays was not statistically significant (P > 0.05). Our findings reveal that tNGS offers significant advantages in detecting pathogens in patients with lung infections, particularly for bacteria and viruses, providing valuable information that complements CMTs.

Infection Genetics and EvolutionVol. 128
Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN)
Natural Science Foundation of Anhui Province
Zero hunger
Openalex Percentile: Top 8%
Respiratory viral infections research
4.06
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