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Jiang X, Borkum T, Shprits S, Boen J, Arshavsky-Graham S, Rofman B, Strauss M, Colodner R, Sulam J, Halachmi S, Leonard H, Segal E. Accurate Prediction of Antimicrobial Susceptibility for Point-of-Care Testing of Urine in Less than 90 Minutes via iPRISM Cassettes. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2303285. [PMID: 37587020 PMCID: PMC10625094 DOI: 10.1002/advs.202303285] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 08/04/2023] [Indexed: 08/18/2023]
Abstract
The extensive and improper use of antibiotics has led to a dramatic increase in the frequency of antibiotic resistance among human pathogens, complicating infectious disease treatments. In this work, a method for rapid antimicrobial susceptibility testing (AST) is presented using microstructured silicon diffraction gratings integrated into prototype devices, which enhance bacteria-surface interactions and promote bacterial colonization. The silicon microstructures act also as optical sensors for monitoring bacterial growth upon exposure to antibiotics in a real-time and label-free manner via intensity-based phase-shift reflectometric interference spectroscopic measurements (iPRISM). Rapid AST using clinical isolates of Escherichia coli (E. coli) from urine is established and the assay is applied directly on unprocessed urine samples from urinary tract infection patients. When coupled with a machine learning algorithm trained on clinical samples, the iPRISM AST is able to predict the resistance or susceptibility of a new clinical sample with an Area Under the Receiver Operating Characteristic curve (AUC) of ∼ 0.85 in 1 h, and AUC > 0.9 in 90 min, when compared to state-of-the-art automated AST methods used in the clinic while being an order of magnitude faster.
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Affiliation(s)
- Xin Jiang
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Talya Borkum
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Sagi Shprits
- Department of Urology, Bnai Zion Medical Center, Haifa, 3104800, Israel
| | - Joseph Boen
- Department of Biomedical Engineering, Johns Hopkins University, Clark 320B, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Sofia Arshavsky-Graham
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Baruch Rofman
- Department of Mechanical Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Merav Strauss
- Laboratory of Clinical Microbiology, Emek Medical Center, Afula, 1834111, Israel
| | - Raul Colodner
- Laboratory of Clinical Microbiology, Emek Medical Center, Afula, 1834111, Israel
| | - Jeremias Sulam
- Department of Biomedical Engineering, Johns Hopkins University, Clark 320B, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Sarel Halachmi
- Department of Urology, Bnai Zion Medical Center, Haifa, 3104800, Israel
- The Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Heidi Leonard
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Ester Segal
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
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Postek W, Pacocha N, Garstecki P. Microfluidics for antibiotic susceptibility testing. LAB ON A CHIP 2022; 22:3637-3662. [PMID: 36069631 DOI: 10.1039/d2lc00394e] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The rise of antibiotic resistance is a threat to global health. Rapid and comprehensive analysis of infectious strains is critical to reducing the global use of antibiotics, as informed antibiotic use could slow down the emergence of resistant strains worldwide. Multiple platforms for antibiotic susceptibility testing (AST) have been developed with the use of microfluidic solutions. Here we describe microfluidic systems that have been proposed to aid AST. We identify the key contributions in overcoming outstanding challenges associated with the required degree of multiplexing, reduction of detection time, scalability, ease of use, and capacity for commercialization. We introduce the reader to microfluidics in general, and we analyze the challenges and opportunities related to the field of microfluidic AST.
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Affiliation(s)
- Witold Postek
- Institute of Physical Chemistry of the Polish Academy of Sciences, ul. Kasprzaka 44/52, 01-224 Warszawa, Poland.
- Broad Institute of MIT and Harvard, Merkin Building, 415 Main St, Cambridge, MA 02142, USA.
| | - Natalia Pacocha
- Institute of Physical Chemistry of the Polish Academy of Sciences, ul. Kasprzaka 44/52, 01-224 Warszawa, Poland.
| | - Piotr Garstecki
- Institute of Physical Chemistry of the Polish Academy of Sciences, ul. Kasprzaka 44/52, 01-224 Warszawa, Poland.
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Yoon J, Park W. Omni- and unidirectional data unit photolithography for high similarity and multiple angular segment display-based encoded microparticle fabrication. OPTICS LETTERS 2022; 47:2682-2685. [PMID: 35648904 DOI: 10.1364/ol.456581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 04/28/2022] [Indexed: 06/15/2023]
Abstract
In this study, we propose high similarity and multiple angular segment display-based encoded microparticle fabrication using omni- and unidirectional data unit photolithography systems. Uniform high-correlation values are obtained regardless of the decoding direction when an omnidirectional data unit is used. In addition, multiple display angles are analyzed based on unidirectional data units with varying slit widths. Finally, encoded microparticles for multiple angular segment displays are fabricated and selective information recognition is demonstrated.
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Fitzpatrick KJ, Rohlf HJ, Sutherland TD, Koo KM, Beckett S, Okelo WO, Keyburn AL, Morgan BS, Drigo B, Trau M, Donner E, Djordjevic SP, De Barro PJ. Progressing Antimicrobial Resistance Sensing Technologies across Human, Animal, and Environmental Health Domains. ACS Sens 2021; 6:4283-4296. [PMID: 34874700 DOI: 10.1021/acssensors.1c01973] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The spread of antimicrobial resistance (AMR) is a rapidly growing threat to humankind on both regional and global scales. As countries worldwide prepare to embrace a One Health approach to AMR management, which is one that recognizes the interconnectivity between human, animal, and environmental health, increasing attention is being paid to identifying and monitoring key contributing factors and critical control points. Presently, AMR sensing technologies have significantly progressed phenotypic antimicrobial susceptibility testing (AST) and genotypic antimicrobial resistance gene (ARG) detection in human healthcare. For effective AMR management, an evolution of innovative sensing technologies is needed for tackling the unique challenges of interconnected AMR across various and different health domains. This review comprehensively discusses the modern state-of-play for innovative commercial and emerging AMR sensing technologies, including sequencing, microfluidic, and miniaturized point-of-need platforms. With a unique view toward the future of One Health, we also provide our perspectives and outlook on the constantly changing landscape of AMR sensing technologies beyond the human health domain.
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Affiliation(s)
- Kira J. Fitzpatrick
- XING Applied Research & Assay Development (XARAD) Division, XING Technologies Pty. Ltd., Brisbane, Queensland 4073, Australia
| | - Hayden J. Rohlf
- XING Applied Research & Assay Development (XARAD) Division, XING Technologies Pty. Ltd., Brisbane, Queensland 4073, Australia
| | - Tara D. Sutherland
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Black Mountain, Canberra, Australian Capital Territory 2601, Australia
| | - Kevin M. Koo
- XING Applied Research & Assay Development (XARAD) Division, XING Technologies Pty. Ltd., Brisbane, Queensland 4073, Australia
- The University of Queensland Centre for Clinical Research (UQCCR), Brisbane, Queensland 4029, Australia
| | - Sam Beckett
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Black Mountain, Canberra, Australian Capital Territory 2601, Australia
| | - Walter O. Okelo
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Black Mountain, Canberra, Australian Capital Territory 2601, Australia
| | - Anthony L. Keyburn
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australian Centre for Disease Preparedness (ACDP), Geelong, Victoria 3220, Australia
| | - Branwen S. Morgan
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Black Mountain, Canberra, Australian Capital Territory 2601, Australia
| | - Barbara Drigo
- Future Industries Institute, University of South Australia, Adelaide, South Australia 5095, Australia
| | - Matt Trau
- Centre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland 4072, Australia
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Erica Donner
- Future Industries Institute, University of South Australia, Adelaide, South Australia 5095, Australia
| | - Steven P. Djordjevic
- Ithree Institute, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Paul J. De Barro
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Health & Biosecurity, EcoSciences Precinct, Brisbane, Queensland 4001, Australia
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