Investigating Transfusion-related Sepsis Using Culture-Independent Metagenomic Sequencing

Author:

Crawford Emily12,Kamm Jack1,Miller Steve3,Li Lucy M1,Caldera Saharai14,Lyden Amy1,Yokoe Deborah45,Nichols Amy5,Tran Nam K6,Barnard Sarah E6,Conner Peter M6,Nambiar Ashok3,Zinter Matt S7,Moayeri Morvarid3,Serpa Paula Hayakawa14,Prince Brian C4,Quan Jenai8,Sit Rene1,Tan Michelle1,Phelps Maira1,Derisi Joseph L19,Tato Cristina M1,Langelier Charles14ORCID

Affiliation:

1. Chan Zuckerberg Biohub, San Francisco, California, USA

2. Department of Microbiology and Immunology, University of California–San Francisco, San Francisco, California, USA

3. Department of Laboratory Medicine, University of California–San Francisco, San Francisco, California, USA

4. Division of Infectious Diseases, Department of Medicine, University of California–San Francisco, San Francisco, California, USA

5. Department of Hospital Epidemiology and Infection Prevention, University of California–San Francisco, San Francisco, California, USA

6. Department of Pathology and Laboratory Medicine, University of California–Davis, Davis, California, USA

7. Division of Pulmonary and Critical Care Medicine, Department of Pediatrics, University of California–San Francisco, San Francisco, California, USA

8. Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA

9. Department of Biochemistry and Biophysics, University of California–San Francisco, San Francisco, California, USA

Abstract

Abstract Background Transfusion-related sepsis remains an important hospital infection control challenge. Investigation of septic transfusion events is often restricted by the limitations of bacterial culture in terms of time requirements and low yield in the setting of prior antibiotic administration. Methods In 3 gram-negative septic transfusion cases, we performed metagenomic next-generation sequencing (mNGS) of direct clinical blood specimens in addition to standard culture-based approaches utilized for infection control investigations. Pathogen detection leveraged IDSeq, a new open-access microbial bioinformatics portal. Phylogenetic analysis was performed to assess microbial genetic relatedness and understand transmission events. Results mNGS of direct clinical blood specimens afforded precision detection of pathogens responsible for each case of transfusion-related sepsis and enabled discovery of a novel Acinetobacter species in a platelet product that had become contaminated despite photochemical pathogen reduction. In each case, longitudinal assessment of pathogen burden elucidated the temporal sequence of events associated with each transfusion-transmitted infection. We found that informative data could be obtained from culture-independent mNGS of residual platelet products and leftover blood specimens that were either unsuitable or unavailable for culture or that failed to grow due to prior antibiotic administration. We additionally developed methods to enhance accuracy for detecting transfusion-associated pathogens that share taxonomic similarity to contaminants commonly found in mNGS library preparations. Conclusions Culture-independent mNGS of blood products afforded rapid and precise assessment of pathogen identity, abundance, and genetic relatedness. Together, these challenging cases demonstrated the potential for metagenomics to advance existing methods for investigating transfusion-transmitted infections.

Funder

National Heart, Lung, and Blood Institute

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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