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Rapid Bacteria Detection from Patients' Blood Bypassing Classical Bacterial Culturing.

Huber, F; Lang, HP; Heller, S; Bielicki, JA; Gerber, C; Meyer, E; Egli, A (2022) Rapid Bacteria Detection from Patients' Blood Bypassing Classical Bacterial Culturing. Biosensors (Basel), 12 (11). p. 994. ISSN 2079-6374 https://doi.org/10.3390/bios12110994
SGUL Authors: Bielicki, Julia Anna

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Abstract

Sepsis is a life-threatening condition mostly caused by a bacterial infection resulting in inflammatory reaction and organ dysfunction if not treated effectively. Rapid identification of the causing bacterial pathogen already in the early stage of bacteremia is therefore vital. Current technologies still rely on time-consuming procedures including bacterial culturing up to 72 h. Our approach is based on ultra-rapid and highly sensitive nanomechanical sensor arrays. In measurements we observe two clearly distinguishable distributions consisting of samples with bacteria and without bacteria respectively. Compressive surface stress indicates the presence of bacteria. For this proof-of-concept, we extracted total RNA from EDTA whole blood samples from patients with blood-culture-confirmed bacteremia, which is the reference standard in diagnostics. We determined the presence or absence of bacterial RNA in the sample through 16S-rRNA hybridization and species-specific probes using nanomechanical sensor arrays. Via both probes, we identified two clinically highly-relevant bacterial species i.e., Escherichia coli and Staphylococcus aureus down to an equivalent of 20 CFU per milliliter EDTA whole blood. The dynamic range of three orders of magnitude covers most clinical cases. We correctly identified all patient samples regarding the presence or absence of bacteria. We envision our technology as an important contribution to early and sensitive sepsis diagnosis directly from blood without requirement for cultivation. This would be a game changer in diagnostics, as no commercial PCR or POCT device currently exists who can do this.

Item Type: Article
Additional Information: Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: bacteremia, bacterial infections, blood samples, cantilevers, nanomechanical biosensors, rapid sensitive diagnostics, sepsis, total RNA, Humans, Edetic Acid, RNA, Ribosomal, 16S, Bacteria, Bacteremia, Sepsis, Escherichia coli, Humans, Bacteria, Escherichia coli, Bacteremia, Sepsis, Edetic Acid, RNA, Ribosomal, 16S, bacteremia, sepsis, nanomechanical biosensors, cantilevers, bacterial infections, total RNA, blood samples, rapid sensitive diagnostics, 0301 Analytical Chemistry, 0601 Biochemistry and Cell Biology
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: Biosensors (Basel)
ISSN: 2079-6374
Language: eng
Dates:
DateEvent
9 November 2022Published
8 November 2022Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
407240_177354Swiss National Science Foundationhttp://dx.doi.org/10.13039/501100001711
180541Swiss National Science Foundationhttp://dx.doi.org/10.13039/501100001711
834402European Research Councilhttp://dx.doi.org/10.13039/501100000781
0003/2021-0097/2022The Gottfried and Julia Bangerter-Rhyner-FoundationUNSPECIFIED
PubMed ID: 36354504
Web of Science ID: WOS:000880895100001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/115015
Publisher's version: https://doi.org/10.3390/bios12110994

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