Rapid and robust diagnosis of bloodstream infections by single-cell analysis
Sepsis, a common consequence of bloodstream infection (BSI), is a leading cause of global mortality and morbidity. Diagnosis is challenging and slow due to extremely low pathogen loads and reliance on time-consuming blood culture, necessitating empiric therapy that worsens outcomes and antimicrobial resistance. Here, we introduce sedimentation-assisted tandem rocking and enrichment for analysis and monitoring (STREAM), a platform that efficiently isolates and enriches pathogens near their natural doubling times directly from whole blood. By integrating STREAM with single-cell analysis, we achieved rapid and robust diagnosis of BSI from whole-blood samples. Using molecularly barcoded sequential fluorescence in situ hybridization, pathogen identification in 104 positive blood culture samples showed 96.15% concordance with clinical laboratory results. Gel-based single-cell antimicrobial susceptibility testing yields 97.96% essential agreement and 93.9% categorical agreement across 219 drug-dose combinations. The platform enabled comprehensive BSI diagnosis directly from whole blood, achieving a detection limit as low as 0.1 to 1 CFU/ml and delivering full diagnostic results within 6.75 to 17 hours.
Authors
- Pak Kin Wong (ORCID: https://orcid.org/0000-0001-7388-2110)
- Samuel Yang (ORCID: https://orcid.org/0000-0003-1123-9036)
- Siew Mei Chin
- E. A. Kovtunov (ORCID: https://orcid.org/0000-0002-3506-080X)
- Kathleen E. Mach (ORCID: https://orcid.org/0000-0003-1197-4073)
- April M. Bobenchik
- Joseph C. Liao (ORCID: https://orcid.org/0000-0003-2448-5463)
- Emma Epiphaniou
Institutions
- Pennsylvania State University (US)
- Penn State Milton S. Hershey Medical Center (US)
- Stanford University (US)
Publication Details
- Journal
- Science Advances
- Published
- 2026-08-26
- DOI
- https://doi.org/10.1126/sciadv.aeh3580
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health