Channel selection of metagenomic next-generation sequencing in infants pathogen detection: a multicenter cross-sectional study

In the neonatal period, infectious diseases associated with high morbidity (e.g., neonatal sepsis and meningitis) are preliminarily assessed using indicators like C-reactive protein (CRP) and procalcitonin, but definitive diagnosis relies on pathogen detection through methods such as blood culture, which is time-consuming and has low sensitivity. To improve diagnostic efficiency, metagenomic next-generation sequencing (mNGS) is increasingly utilized, offering three testing modalities: DNA-only, RNA-only, and combined DNA+RNA channels. This retrospective study analyzed 894 clinical samples (peripheral blood, sputum, bronchoalveolar lavage fluid) to compare detection rates across channels. The overall mNGS positivity rate was 51.9% (464/894), with no significant differences among DNA-only (50.8%), RNA-only (55.7%), and combined channels (49.6%) (<i>p</i> > 0.05). Notably, bronchoalveolar lavage fluid samples exhibited the highest positivity rate (84.57%, 148/175), reaching 97.33% (73/75) with dual-channel testing. Sputum samples showed a 53.7% positivity rate (87/172), increasing to 82.35% (14/17) with dual-channel detection. Conversely, peripheral blood had an overall positivity rate of 43.14% (132/306), with the DNA-only channel outperforming RNA-only and dual channels (45.34% 5s. 43.00% and 34.21%). These findings underscore the importance of channel selection based on sample type to optimize diagnostic accuracy and cost-effectiveness.

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Publication Details

Journal
Frontiers in Pediatrics
Published
2025-11-21
DOI
https://doi.org/10.3389/fped.2025.1632123
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
0.00

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article

Channel selection of metagenomic next-generation sequencing in infants pathogen detection: a multicenter cross-sectional study

Jiahua Pan, Minxu Li, Jie Yang, Shumei Yang et al.
Frontiers in Pediatrics
Bacterial Identification and Susceptibility Testing
article

Channel selection of metagenomic next-generation sequencing in infants pathogen detection: a multicenter cross-sectional study

Jiahua Pan, Minxu Li, Jie Yang, Shumei Yang, Chengcheng Yang, Yue Ding
article en

Abstract

In the neonatal period, infectious diseases associated with high morbidity (e.g., neonatal sepsis and meningitis) are preliminarily assessed using indicators like C-reactive protein (CRP) and procalcitonin, but definitive diagnosis relies on pathogen detection through methods such as blood culture, which is time-consuming and has low sensitivity. To improve diagnostic efficiency, metagenomic next-generation sequencing (mNGS) is increasingly utilized, offering three testing modalities: DNA-only, RNA-only, and combined DNA+RNA channels. This retrospective study analyzed 894 clinical samples (peripheral blood, sputum, bronchoalveolar lavage fluid) to compare detection rates across channels. The overall mNGS positivity rate was 51.9% (464/894), with no significant differences among DNA-only (50.8%), RNA-only (55.7%), and combined channels (49.6%) (<i>p</i> > 0.05). Notably, bronchoalveolar lavage fluid samples exhibited the highest positivity rate (84.57%, 148/175), reaching 97.33% (73/75) with dual-channel testing. Sputum samples showed a 53.7% positivity rate (87/172), increasing to 82.35% (14/17) with dual-channel detection. Conversely, peripheral blood had an overall positivity rate of 43.14% (132/306), with the DNA-only channel outperforming RNA-only and dual channels (45.34% 5s. 43.00% and 34.21%). These findings underscore the importance of channel selection based on sample type to optimize diagnostic accuracy and cost-effectiveness.

Frontiers in PediatricsVol. 13
Nanfang Hospital (CN), Dongguan People’s Hospital (CN), Guangdong Province Women and Children Hospital (CN), Jiangmen Central Hospital (CN), Southern Medical University (CN)
Natural Science Foundation of Guangdong Province
Openalex Percentile: Top 61%
Bacterial Identification and Susceptibility Testing
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