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
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
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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: |
Date | Event |
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9 November 2022 | Published | 8 November 2022 | Accepted |
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Publisher License: |
Creative Commons: Attribution 4.0 |
Projects: |
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PubMed ID: |
36354504 |
Web of Science ID: |
WOS:000880895100001 |
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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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