Journal
Nature Microbiology
Publication Date
10-20-2022
Volume
7
Issue
11
First Page
1805
Last Page
1816
Document Type
Open Access Publication
DOI
10.1038/s41564-022-01237-2
Rights and Permissions
Kalantar, K.L., Neyton, L., Abdelghany, M. et al. Integrated host-microbe plasma metagenomics for sepsis diagnosis in a prospective cohort of critically ill adults. Nat Microbiol 7, 1805–1816 (2022). https://doi.org/10.1038/s41564-022-01237-2 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Recommended Citation
Kalantar, Katrina L; Sinha, Pratik; and et al., "Integrated host-microbe plasma metagenomics for sepsis diagnosis in a prospective cohort of critically ill adults." Nature Microbiology. 7, 11. 1805 - 1816. (2022).
https://digitalcommons.wustl.edu/oa_4/526
Supplementary Tables 1–4, descriptions of Supplementary Data files, and references.
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Reporting Summary
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Supplementary Data 1–18.
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Source Data Fig. 2: Results from gene set enrichment analysis of differentially expressed genes (whole blood RNA-seq) between patients with microbiologically confirmed sepsis (SepsisBSI and Sepsisnon-BSI) and those with non-infectious critical illnesses (No-sepsis).
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Source Data Fig. 3: Mass (pg) of microbial DNA in each sample.
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Source Data Fig. 4: Results from gene set enrichment analysis of differentially expressed genes between patients with viral versus non-viral causes of sepsis among the SepsisBSI and Sepsisnon-BSI patients. a, Data from whole blood RNA-seq. b, Data from plasma RNA-seq.
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Source Data Fig. 5: Per-patient probability values from the sepsis transcriptomic classifier and viral transcriptomic classifiers. Microbial mass and pathogens detected by the rules-based model.
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Source Data Extended Data Fig. 1: Results from gene set enrichment analysis of differentially expressed genes between patients with microbiologically confirmed sepsis (SepsisBSI and Sepsisnon-BSI) and those with non-infectious critical illnesses (No-sepsis). Data from plasma RNA-seq.
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Source Data Extended Data Fig. 2: Differentially expressed genes between patients with microbiologically confirmed (SepsisBSI and Sepsisnon-BSI) and those with non-infectious critical illnesses (No-sepsis), from whole blood RNA-seq and plasma. Raw values and log10-transformed values tabulated.
