Publications by authors named "Zefeng Xin"
Article Synopsis
- Infectious meningitis/encephalitis (IM) is a dangerous neurological condition often caused by various pathogens and is especially serious in children; metagenomic next-generation sequencing (mNGS) could enhance diagnosis and outcomes.
- Researchers created a new mNGS pipeline called comprehensive mNGS (c-mNGS) that can analyze both pathogens and host responses using cerebrospinal fluid samples, allowing for better classification and diagnosis of IM.
- The c-mNGS pipeline significantly improved detection of various pathogens, identified antibiotic resistance genes, analyzed host gene expression, and enabled development of predictive models for sample contamination and poor prognosis, making it a promising routine test for IM since it is cost-effective compared to traditional methods.
Respiratory tract infection, which is associated with high morbidity and mortality, occurs frequently in children. At present, the main diagnostic method is culture. However, the low pathogen detection rate of the culture approach prevents timely and accurate diagnosis.
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- This study aimed to assess various methods for preparing cerebrospinal fluid (CSF) samples for metagenomic next-generation sequencing (mNGS) to effectively identify DNA and RNA pathogens.
- Researchers created 13 mock CSF samples with different pathogens, testing ten distinct methods for nucleic acid extraction and library generation to find optimal conditions.
- Results showed that using total nucleic acid extraction alongside the NEB library generation method yielded the highest quality sequencing and accurately identified pathogens in patient samples, suggesting this approach enhances diagnostic efficiency.
This paper, taking Chagan lake as the study area, uses and improves MWR V1.0 (Rivers (Lake) Health Assessment Indicators, Standards and Methods V1.0) relating to the theory and method of physical structure integrity assessment.
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