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Pathogen determination from clinical abscess fluids using metagenomic next-generation sequencing

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Abstract

Abscesses are often clinically manifested as local necrotic tissues in various organs or systems of the human body, which is commonly caused by microbial infection. Rapid and accurate identification of pathogens from clinical abscetic samples would greatly guide a clinician to make the precise choices of the antimicrobial treatment. Here, this study aimed to investigate the application of metagenomic next-generation sequencing (mNGS) in the microbial detection of clinical samples of abscess fluids from various organs or systems. Nine patients with abscess from various organs or systems were enrolled in this study. The pathogenic bacteria in abscess fluid were detected and compared by the conventional bacterial culture and mNGS respectively. The dominant pathogens of abscess fluids in 8 cases can be found directly from mNGS, dominating over 80% of the total reads abundance of the microbiome. Although the pathogens from 6 cases detected by mNGS were consistent with that from the conventional bacteria culture method, the fastidious obligate anaerobic bacteria in 2 cases additionally detected by mNGS were not found by the conventional culture method. Moreover, complex polymicrobial infection containing Parvimonas micra in one case negatively with conventional bacterial culture were demonstrated by the mNGS method. And the mNGS method can directly reflect the diversity of microbial ecology in the abscess fluids from the different parts of the human body. Conclusively, mNGS can be used as a supplemental method for the pathogen detection of clinically abscess fluids.

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Data availability

Supplement Table 1 showed the reads number information of all the species detected by mNGS in this study. The microbiome reads from abscess samples in this study were depleted of human host sequences and have been submitted to the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject) (accession number: PRJNA660600).

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Funding

This work was supported by grants from the Natural Science Fund of Guangdong Province (No. 2020A1515010979); Science, Technology and Innovation Commission of Shenzhen Municipality of key funds (JCYJ20170412143551332) and basic research funds (JCYJ20180302144721183; JCYJ20180302144340004; JCYJ20180302144345028; JCYJ20180302144431923); the Shenzhen Nanshan District Scientific Research Program of the People’s Republic of China (No. 2019001, 2019004, 2019005, 2019027); and provincial medical funds of Guangdong (No. A2018163); Sanmin Project of Medicine in Shenzhen and Shenzhen Key Medical Discipline Construction Fund (No. SZXK06162).

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Contributions

Yuxi Zhao, Peiyu Li, Qiwen Deng, and Zhijian Yu made substantial contributions to the conception or design of the work. Yuxi Zhao, Jinlian Chen, Bing Bai, Yu Wang, and Jinxin Zheng made substantial contributions to the acquisition and analysis of data. Yuxi Zhao, Jinlian Chen, Bing Bai, Peiyu Li, and Zhijian Yu drafted the work or revised it critically for important intellectual content. Peiyu Li and Qiwen Deng approved the version to be published and agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

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Correspondence to Peiyu Li.

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The authors declare that they have no conflict of interest.

Ethics approval

This study was approved by the system review committee of Nanshan District People’s Hospital of Shenzhen city according to relevant laws and system guidelines. All patients or their legal guardians provide written informed consent.

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Zhao, Y., Chen, J., Bai, B. et al. Pathogen determination from clinical abscess fluids using metagenomic next-generation sequencing. Folia Microbiol 66, 197–202 (2021). https://doi.org/10.1007/s12223-020-00829-x

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  • DOI: https://doi.org/10.1007/s12223-020-00829-x

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