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Updated: Aug 5, 2026

Metagenomic Next-Generation Sequencing of Cerebrospinal Fluid for the Detection of Central Nervous System Pathogens
Published on: April 17, 2026
Clinical utility of metagenomic next-generation sequencing in infants with severe infections
Yuanyuan Gao1, Yuhan Huang2, Wenmei Li2
1Department of Clinical Laboratory, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Objective:
This study aimed to compare pathogen detection rates between metagenomic next-generation sequencing (mNGS) and conventional microbiological culture in critically ill infants younger than 1 year of age, and to investigate the associations between mNGS positivity and clinical laboratory parameters.
Methods:
We conducted a single-centre retrospective study including infants with severe infections admitted to the Children's Hospital of Soochow University between 1 January 2023 and 31 December 2025, who underwent both mNGS and conventional culture testing. Patients were classified into mNGS-positive and mNGS-negative groups, and clinical characteristics and laboratory findings were compared between groups. Candidate predictors of mNGS positivity were identified using least absolute shrinkage and selection operator (LASSO) regression, followed by multivariable logistic regression analysis. The predictive performance of key variables was evaluated using receiver operating characteristic (ROC) curve analysis.
Results:
A total of 105 infants and 153 biological specimens were included. The overall mNGS positivity rate, as well as positivity rates across all specimen types except cerebrospinal fluid, were significantly higher than those of conventional culture (p < 0.05). LASSO regression identified eosinophil percentage, mean corpuscular haemoglobin (MCH), procalcitonin (PCT), cholinesterase, and serum calcium as candidate predictors of mNGS positivity. Multivariable logistic regression revealed that MCH (OR = 0.755, 95%CI: 0.657-0.869), cholinesterase (OR = 0.999, 95%CI: 0.999-1.000), and PCT (OR = 1.180, 95%CI: 1.050-1.320) were independently associated with mNGS positivity. ROC analysis demonstrated that MCH, cholinesterase, and PCT individually showed moderate discriminatory performance, whereas a combined model incorporating all three variables achieved substantially improved predictive performance (AUC = 0.842, 95%CI: 0.758-0.912), with a sensitivity of 87.2% and specificity of 81.6%.
Conclusion:
mNGS demonstrated superior pathogen detection compared with conventional culture in critically ill infants. MCH, cholinesterase, and PCT were independently associated with mNGS positivity, and a combined multi-marker model substantially improved the prediction of mNGS-positive cases.
Insights
Metagenomic next-generation sequencing (mNGS) detects more pathogens than conventional culture in critically ill infants. Mean corpuscular hemoglobin, cholinesterase, and procalcitonin predict mNGS results, improving diagnostic accuracy.
Area of Science:
- Medical Diagnostics
- Genomics
- Pediatric Infectious Diseases
Background:
- Severe infections in critically ill infants pose diagnostic challenges.
- Conventional microbiological culture has limitations in pathogen detection.
Purpose of the Study:
- Compare pathogen detection rates of metagenomic next-generation sequencing (mNGS) versus conventional culture in critically ill infants.
- Identify clinical laboratory parameters associated with mNGS positivity.
Main Methods:
- Retrospective study of 105 infants with severe infections undergoing both mNGS and conventional culture.
- LASSO and multivariable logistic regression identified predictors of mNGS positivity.
- Receiver operating characteristic (ROC) curve analysis evaluated predictive performance.
Main Results:
- mNGS showed significantly higher positivity rates than conventional culture across most specimen types (p < 0.05).
- Mean corpuscular hemoglobin (MCH), cholinesterase, and procalcitonin (PCT) were independently associated with mNGS positivity.
- A combined model of MCH, cholinesterase, and PCT achieved an AUC of 0.842, with 87.2% sensitivity and 81.6% specificity.
Conclusions:
- mNGS offers superior pathogen detection compared to conventional culture in critically ill infants.
- MCH, cholinesterase, and PCT are valuable biomarkers for predicting mNGS positivity.
- A multi-marker model significantly enhances the prediction of mNGS-positive cases, aiding clinical decision-making.
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