Fragment Ends of Circulating Microbial DNA as Signatures for Pathogen Detection in Sepsis

Author:

Wang Guangya123ORCID,Lam W K Jacky1234,Ling Lowell5,Ma Mary-Jane L123,Ramakrishnan Saravanan123,Chan Don C T123,Lee Wing-Shan123,Cheng Suk Hang123,Chan Rebecca W Y123,Yu Stephanie C Y123,Tse Irene O L123,Wong Wai Tat5,Jiang Peiyong123ORCID,Chiu Rossa W K123,Allen Chan K C1234ORCID,Lo Y M Dennis1234

Affiliation:

1. Centre for Novostics, Hong Kong Science Park , Pak Shek Kok, New Territories, Hong Kong SAR , China

2. Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong , Shatin, New Territories, Hong Kong SAR , China

3. Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital , Shatin, New Territories, Hong Kong SAR , China

4. State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital , Shatin, New Territories, Hong Kong SAR , China

5. Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Prince of Wales Hospital , Shatin, New Territories, Hong Kong SAR , China

Abstract

Abstract Background Nuclear-derived cell-free DNA (cfDNA) molecules in blood plasma are nonrandomly fragmented, bearing a wealth of information related to tissues of origin. DNASE1L3 (deoxyribonuclease 1 like 3) is an important player in shaping the fragmentation of nuclear-derived cfDNA molecules, preferentially generating molecules with 5 CC dinucleotide termini (i.e., 5 CC-end motif). However, the fragment end properties of microbial cfDNA and its clinical implication remain to be explored. Methods We performed end motif analysis on microbial cfDNA fragments in plasma samples from patients with sepsis. A sequence context-based normalization method was used to minimize the potential biases for end motif analysis. Results The end motif profiles of microbial cfDNA appeared to resemble that of nuclear cfDNA (Spearman correlation coefficient: 0.82, P value 0.001). The CC-end motif was the most preferred end motif in microbial cfDNA, suggesting that DNASE1L3 might also play a role in the fragmentation of microbe-derived cfDNA in plasma. Of note, differential end motifs were present between microbial cfDNA originating from infection-causing pathogens (enriched at the CC-end) and contaminating microbial DNA potentially derived from reagents or the environment (nearly random). The use of fragment end signatures allowed differentiation between confirmed pathogens and contaminating microbes, with an area under the receiver operating characteristic curve of 0.99. The performance appeared to be superior to conventional analysis based on microbial cfDNA abundance alone. Conclusions The use of fragmentomic features could facilitate the differentiation of underlying contaminating microbes from true pathogens in sepsis. This work demonstrates the potential usefulness of microbial cfDNA fragmentomics in metagenomics analysis.

Publisher

Oxford University Press (OUP)

Subject

Biochemistry (medical),Clinical Biochemistry

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