Clinical Metagenomic Next-Generation Sequencing for Diagnosis of Central Nervous System Infections: Advances and Challenges

Su, LingHui David; Chiu, Charles Y.; Gaston, David; Hogan, Catherine A.; Miller, Steve; Simon, Dennis W.; Thakur, Kiran T.; Yang, Shangxin; Piantadosi, Anne

doi:10.1007/s40291-024-00727-9

Mol Diagn Ther

2024

DOI: 10.1007/s40291-024-00727-9

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Clinical Metagenomic Next-Generation Sequencing for Diagnosis of Central Nervous System Infections: Advances and Challenges

LingHui David Su,

Charles Y. Chiu,

David Gaston

et al.

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2024

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Early Diagnosis of Bloodstream Infections Using Serum Metabolomic Analysis

Han,

Li,

Wang

et al. 2024

Metabolites

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Background: Bloodstream infections (BSIs) pose a great challenge to treating patients, especially those with underlying diseases, such as immunodeficiency diseases. Early diagnosis helps to direct precise empirical antibiotic administration and proper clinical management. This study carried out a serum metabolomic analysis using blood specimens sampled from patients with a suspected infection whose routine culture results were later demonstrated to be positive. Methods: A liquid chromatograph-mass spectrometry-based metabolomic analysis was carried out to profile the BSI serum samples. The serum metabolomics data could be used to successfully differentiate BSIs from non-BSIs. Results: The major classes of the isolated pathogens (e.g., Gram-positive and Gram-negative bacteria) could be differentiated using our optimized statistical algorithms. In addition, by using different machine-learning algorithms, the isolated pathogens could also be classified at the species levels (e.g., Escherichia coli and Klebsiella pneumoniae) or according to their specific antibiotic-resistant phenotypes (e.g., extended-spectrum β-lactamase-producing and non-producing phenotypes) if needed. Conclusions: This study provides an early diagnosis method that could be an alternative to the traditional time-consuming culture process to identify BSIs. Moreover, this metabolomics strategy was less affected by several risk factors (e.g., antibiotics administration) that could produce false culture results.

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Early Diagnosis of Bloodstream Infections Using Serum Metabolomic Analysis

Han,

Li,

Wang

et al. 2024

Metabolites

View full text Add to dashboard Cite

show abstract

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Clinical Metagenomic Next-Generation Sequencing for Diagnosis of Central Nervous System Infections: Advances and Challenges

Cited by 1 publication

References 93 publications

Early Diagnosis of Bloodstream Infections Using Serum Metabolomic Analysis

Early Diagnosis of Bloodstream Infections Using Serum Metabolomic Analysis

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