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Zhong J, Chang Y, Liang M, Zhou Y, Ai Y. Phosphorylation-amplified synchronized droplet microfluidics sensitizes bacterial growth kinetic real-time monitoring. Biosens Bioelectron 2024; 259:116397. [PMID: 38772249 DOI: 10.1016/j.bios.2024.116397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 05/06/2024] [Accepted: 05/14/2024] [Indexed: 05/23/2024]
Abstract
The necessity for rapid and accurate bacterial growth monitoring is imperative across various domains, including healthcare and environmental safety. We introduce the self-synchronized droplet-amplified electrical screening cytometry (SYNC) system, a novel meld of droplet microfluidics and electrochemical amplification tailored for precise bacterial growth kinetic monitoring. SYNC encapsulates single bacteria in picolitre droplets, enabling real-time, fluorescence-free electrochemical monitoring. A specially devised phosphorylation-amplified culture medium translates bacterial metabolic activity into discernible electrical impedance changes. The dual-channel design and a rail-based structure in SYNC facilitate parallel screening and self-synchronization of droplets, addressing the limitations of conventional impedance cytometry. SYNC showcases a 5-fold enhancement in detection sensitivity and reduces 50% of the detection time compared to traditional approaches. Notably, SYNC is pioneering in providing exact initial bacterial concentrations, achieve to 104 bacteria/ml, a capability unmatched by existing real-time techniques measuring electrochemical variations. Along with its robust performance, this earmarks SYNC as a powerful tool for applications such as antibiotic susceptibility testing, food quality monitoring, and real-time water bacteria monitoring, paving the way for enhanced microbial process management and infection control.
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Affiliation(s)
- Jianwei Zhong
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore
| | - Yifu Chang
- Joint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macau, 999078, China
| | - Minhui Liang
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore
| | - Yinning Zhou
- Joint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macau, 999078, China
| | - Ye Ai
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore.
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2
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Muzammil K, Rayyani S, Abbas Sahib A, Gholizadeh O, Naji Sameer H, Jwad Kazem T, Badran Mohammed H, Ghafouri Kalajahi H, Zainul R, Yasamineh S. Recent Advances in Crimean-Congo Hemorrhagic Fever Virus Detection, Treatment, and Vaccination: Overview of Current Status and Challenges. Biol Proced Online 2024; 26:20. [PMID: 38926669 PMCID: PMC11201903 DOI: 10.1186/s12575-024-00244-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 05/16/2024] [Indexed: 06/28/2024] Open
Abstract
Crimean-Congo hemorrhagic fever virus (CCHFV) is a tick-borne virus, and zoonosis, and affects large regions of Asia, Southwestern and Southeastern Europe, and Africa. CCHFV can produce symptoms, including no specific clinical symptoms, mild to severe clinical symptoms, or deadly infections. Virus isolation attempts, antigen-capture enzyme-linked immunosorbent assay (ELISA), and reverse transcription polymerase chain reaction (RT-PCR) are all possible diagnostic tests for CCHFV. Furthermore, an efficient, quick, and cheap technology, including biosensors, must be designed and developed to detect CCHFV. The goal of this article is to offer an overview of modern laboratory tests available as well as other innovative detection methods such as biosensors for CCHFV, as well as the benefits and limits of the assays. Furthermore, confirmed cases of CCHF are managed with symptomatic assistance and general supportive care. This study examined the various treatment modalities, as well as their respective limitations and developments, including immunotherapy and antivirals. Recent biotechnology advancements and the availability of suitable animal models have accelerated the development of CCHF vaccines by a substantial margin. We examined a range of potential vaccines for CCHF in this research, comprising nucleic acid, viral particles, inactivated, and multi-epitope vaccines, as well as the present obstacles and developments in this field. Thus, the purpose of this review is to present a comprehensive summary of the endeavors dedicated to advancing various diagnostic, therapeutic, and preventive strategies for CCHF infection in anticipation of forthcoming hazards.
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Affiliation(s)
- Khursheed Muzammil
- Department of Public Health, College of Applied Medical Sciences, King Khalid University, Khamis Mushait Campus, Abha, 62561, Saudi Arabia
| | - Saba Rayyani
- Medical Faculty, University of Georgi, Tbilisi, Georgia
| | | | | | - Hayder Naji Sameer
- Collage of Pharmacy, National University of Science and Technology, Dhi Qar, 64001, Iraq
| | - Tareq Jwad Kazem
- Scientific Affairs Department, Al-Mustaqbal University, Hillah, Babylon, 51001, Iraq
| | - Haneen Badran Mohammed
- Optics techniques department, health and medical techniques college, Al-Noor University, Mosul, Iraq
| | | | - Rahadian Zainul
- Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Negeri Padang, Padang, Indonesia.
| | - Saman Yasamineh
- Center for Advanced Material Processing, Artificial Intelligence, and Biophysics Informatics (CAMPBIOTICS), Universitas Negeri Padang, Padang, Indonesia.
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3
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Saikia D, Vijay A, Cebajel Bhanwarlal T, Singh SP. Validating the utility of heavy water (Deuterium Oxide) as a potential Raman spectroscopic probe for identification of antibiotic resistance. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 321:124723. [PMID: 38941753 DOI: 10.1016/j.saa.2024.124723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 05/07/2024] [Accepted: 06/24/2024] [Indexed: 06/30/2024]
Abstract
The impact of microbial infections is increasing over time, and it is one of the major reasons for death in both developed and developing countries. colistin is considered as the antibiotic of last choice for infections brought by major multidrug-resistant (MDR), gram-negative bacteria such as Enterobacter species, Acinetobacter species, and Pseudomonas aeruginosa. Existing approaches to diagnose these resistant species are relatively slow and take up to 2 to 3 days. In this work, we propose a novel interdisciplinary method based on Raman spectroscopy and heavy water to identify colistin-resistant microbes. Our hypothesis is based on the fact that resistant bacteria will be metabolically active in the culture medium containing antibiotics and heavy water, and these bacteria will take up deuterium instead of hydrogen to newly synthesized lipids and proteins. This effect will generate a 'C - D' bond-specific Raman spectral marker. Successful identification of this band in the spectral profile can confirm the presence of colistin-resistant bacteria. We have validated the efficacy of this approach in identifying colistin-resistant bacteria spiked in artificial urine and have compared sensitivity at different bacterial concentrations. Overall findings suggest that heavy water can potentially serve as a suitable Raman probe for identifying metabolically active colistin-resistant bacteria via urine under clinically implementable time and can be used in clinical settings after validation.
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Affiliation(s)
- Dimple Saikia
- Department of Biosciences and Bioengineering, Indian Institute of Technology Dharwad, Dharwad, Karnataka 580011, India
| | - Arunsree Vijay
- Department of Biosciences and Bioengineering, Indian Institute of Technology Dharwad, Dharwad, Karnataka 580011, India
| | - Tanan Cebajel Bhanwarlal
- Department of Biosciences and Bioengineering, Indian Institute of Technology Dharwad, Dharwad, Karnataka 580011, India
| | - S P Singh
- Department of Biosciences and Bioengineering, Indian Institute of Technology Dharwad, Dharwad, Karnataka 580011, India.
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4
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Yeo JH, Low JQ, Begam N, Leow WT, Kwa ALH. Can flow cytometric measurements of reactive oxygen species levels determine minimal inhibitory concentrations and antibiotic susceptibility testing for Acinetobacter baumannii? PLoS One 2024; 19:e0305939. [PMID: 38913680 PMCID: PMC11195951 DOI: 10.1371/journal.pone.0305939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 06/08/2024] [Indexed: 06/26/2024] Open
Abstract
Current antimicrobial susceptibility testing (AST) requires 16-24 hours, delaying initiation of appropriate antibiotics. Hence, there is a need for rapid AST. This study aims to develop and evaluate the feasibility of a rapid flow cytometric AST assay to determine minimum inhibitory concentration (MIC) for carbapenem-resistant Acinetobacter baumannii (CRAB). Antibiotic exposure causes increased intracellular reactive oxygen species (ROS) in bacteria. We hypothesized that ROS can be used as a marker to determine MIC. We assessed three CRAB clinical isolates across fifteen antibiotics at various concentrations in a customized 96-well microtiter plate. The antibiotics assessed include amikacin, beta-lactams (ampicillin/sulbactam, aztreonam, cefepime, ceftolozane/tazobactam, doripenem, imipenem, meropenem, and piperacillin/tazobactam), levofloxacin, polymyxin B, rifampicin, trimethoprim/sulfamethoxazole, and tetracyclines (tigecycline and minocycline). These clinical CRAB isolates were assessed for ROS after antibiotic treatment. Increased ROS levels indicated by increased RedoxSensorTM Green (RSG) fluorescence intensity was assessed using flow cytometry (FCM). MIC was set as the lowest antibiotic concentration that gives a ≥1.5-fold increase in mode RSG fluorescence intensity (MICRSG). Accuracy of MICRSG was determined by comparing against microtiter broth dilution method performed under CLSI guidelines. ROS was deemed accurate in determining the MICs for β-lactams (83.3% accuracy) and trimethoprim/sulfamethoxazole (100% accuracy). In contrast, ROS is less accurate in determining MICs for levofloxacin (33.3% accuracy), rifampicin (0% accuracy), amikacin (33.3% accuracy), and tetracyclines (33.3% accuracy). Collectively, this study described an FCM-AST assay to determine antibiotic susceptibility of CRAB isolates within 5 hours, reducing turnaround time up to 19 hours.
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Affiliation(s)
- Jia Hao Yeo
- Department of Pharmacy, Singapore General Hospital, Singapore, Singapore
- SingHealth-Duke-NUS Academic Clinical Programme, Singapore, Singapore
| | - Jia Qian Low
- Department of Pharmacy, Singapore General Hospital, Singapore, Singapore
| | - Nasren Begam
- Department of Pharmacy, Singapore General Hospital, Singapore, Singapore
| | - Wan-Ting Leow
- Department of Pharmacy, Singapore General Hospital, Singapore, Singapore
| | - Andrea Lay-Hoon Kwa
- Department of Pharmacy, Singapore General Hospital, Singapore, Singapore
- SingHealth-Duke-NUS Academic Clinical Programme, Singapore, Singapore
- Department of Pharmacy, NUS, Singapore, Singapore
- Emerging Infection Diseases Program, Duke-NUS Graduate Medical School, Singapore, Singapore
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5
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Suleiman M, Abu-Aqil G, Lapidot I, Huleihel M, Salman A. Significant reduction of the culturing time required for bacterial identification and antibiotic susceptibility determination by infrared spectroscopy. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:3745-3756. [PMID: 38818530 DOI: 10.1039/d4ay00604f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Rapid testing of bacteria for antibiotic susceptibility is essential for effective treatment and curbing the emergence of multidrug-resistant bacteria. The misuse of antibiotics, coupled with the time-consuming classical testing methods, intensifies the threat of antibiotic resistance, a major global health concern. In this study, employing infrared spectroscopy-based machine learning techniques, we significantly shortened the time required for susceptibility testing to 10 hours, a significant improvement from the 24 hours in our previous studies as well as the conventional methods that typically take at least 48 hours. This remarkable reduction in turnaround time (from 48 hours to 10 hours), achieved by minimizing the culturing period, offers a game-changing advantage for clinical applications. Our study involves a dataset comprising 400 bacterial samples (200 E. coli, 100 Klebsiella pneumoniae, and 100 Pseudomonas aeruginosa) with an impressive 96% accuracy in the taxonomic classification at the species level and up to 82% accuracy in bacterial susceptibility to various antibiotics.
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Affiliation(s)
- Manal Suleiman
- Department of Microbiology, Immunology, and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
| | - George Abu-Aqil
- Department of Microbiology, Immunology, and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
| | - Itshak Lapidot
- Department of Electrical Engineering, ACLP-Afeka Center for Language Processing, Afeka Tel-Aviv Academic College of Engineering, Tel-Aviv 69107, Israel
- Laboratoire Informatique d'Avignon (LIA), Avignon Université, 339 Chemin des Meinajaries, 84000 Avignon, France
| | - Mahmoud Huleihel
- Department of Microbiology, Immunology, and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
| | - Ahmad Salman
- Department of Physics, SCE - Shamoon College of Engineering, Beer-Sheva 84100, Israel.
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6
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Caliskan-Aydogan O, Zaborney Kline C, Alocilja EC. Cell morphology as biomarker of carbapenem exposure. J Antibiot (Tokyo) 2024:10.1038/s41429-024-00749-9. [PMID: 38866921 DOI: 10.1038/s41429-024-00749-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 05/20/2024] [Accepted: 05/23/2024] [Indexed: 06/14/2024]
Abstract
Characterizing the physiological response of bacterial cells to antibiotics is crucial for designing diagnostic techniques, treatment choices, and drug development. While bacterial cells at sublethal doses of antibiotics are commonly characterized, the impact of exposure to high concentrations of antibiotics on bacteria after long-term serial exposure and their effect on withdrawal need attention for further characterization. This study investigated the effect of increasing imipenem concentrations on carbapenem-susceptible (S) and carbapenem-resistant (R) E. coli on their growth adaptation and cell surface structure. We exposed the bacterial population to increasing imipenem concentrations through 30 exposure cycles. Cell morphology was observed using a 3D laser scanning confocal microscope (LSCM) and transmission electron microscope (TEM). Results showed that the exposure resulted in significant morphological changes in E. coli (S) cells, while minor changes were seen in E. coli (R) cells. The rod-shaped E. coli (S) gradually transformed into round shapes. Further, the exposed E. coli (S) cells' surface area-to-volume ratio (SA/V) was also significantly different from the control, which is non-exposed E. coli (S). Then, the exposed E. coli (S) cells were re-grown in antibiotic-free environment for 100 growth cycles to determine if the changes in cells were reversible. The results showed that their cell morphology remained round, showing that the cell morphology was not reversible. The morphological response of these cells to imipenem can assist in understanding the resistance mechanism in the context of diagnostics and antibacterial therapies.
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Affiliation(s)
- Oznur Caliskan-Aydogan
- Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI, 48824, USA
- Global Alliance for Rapid Diagnostics (GARD), Michigan State University, East Lansing, MI, 48824, USA
| | - Chloe Zaborney Kline
- Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI, 48824, USA
| | - Evangelyn C Alocilja
- Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI, 48824, USA.
- Global Alliance for Rapid Diagnostics (GARD), Michigan State University, East Lansing, MI, 48824, USA.
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7
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Wang Y, Cui M, Li L, Gao C, Feng Z, Cai Y, Yang Z, Shen L. Unexpected decrease in necrotizing enterocolitis morbidity during the COVID-19 pandemic-A single-centre retrospective study. Front Pediatr 2024; 12:1346478. [PMID: 38863524 PMCID: PMC11165084 DOI: 10.3389/fped.2024.1346478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 05/15/2024] [Indexed: 06/13/2024] Open
Abstract
Background The impact of the coronavirus disease 2019 (COVID-19) pandemic on neonatal necrotizing enterocolitis (NEC) is not well characterised. This cross-sectional study evaluated the potential effects of pandemic-related measures on NEC morbidity in premature infants in a neonatal ward during the COVID-19 pandemic. Methods This was a retrospective study conducted in a tertiary neonatal ward in eastern and central China over 6 consecutive years (2017, 2018, 2019, 2020, 2021 and 2022). The medical records of 189 premature infants with stage II or III NEC were reviewed for clinical manifestations and aetiologies. The data were analysed and compared between the prepandemic period (2017, 2018, and 2019) and the pandemic period (2020, 2021 and 2022). Results A total of 9,903 infants with gestational age (GA) < 37 weeks were enrolled, including 5,382 in the prepandemic period and 4,521 in the pandemic period. A reduction in stage II or III NEC morbidity was observed in infants with GA < 37 weeks, with an average annual morbidity of 2.29% (123/5,382) (95% CI, 1.89%-2.68%) in the prepandemic period and 1.46% (66/4,521) (95% CI, 1.11%-1.81%) in the pandemic period. NEC morbidity showed resurgent characteristics in 2021. When prepandemic coinfections were excluded, most cases of NEC with bloodstream infections in the prepandemic period were attributable to Gram-negative bacteria (27/32, 84.38%), mainly Klebsiella pneumoniae, while in the pandemic period they were attributable to Gram-positive bacteria (10/18, 55.56%), mainly Staphylococcus aureus. Antimicrobial susceptibility testing revealed that Klebsiella pneumoniae was 100% sensitive to meropenem, imipenem, ciprofloxacin and levofloxacin and 100% resistant to ampicillin. Staphylococcus capitis was 100% sensitive to vancomycin, linezolid, tetracycline, cotrimoxazole and cefoxitin and 100% resistant to penicillin and benzathine. Conclusions COVID-19 pandemic-related interventions can reduce the morbidity of NEC and change the pathogen spectrum in patients with bloodstream infections. We need to understand the exact factors leading to these changes.
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Affiliation(s)
| | | | | | | | | | | | | | - Lirong Shen
- Department of Neonatology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
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8
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Stefan CP, Blancett CD, Huynh KA, Minogue TD. Relative quantification of the recA gene for antimicrobial susceptibility testing in response to ciprofloxacin for pathogens of concern. Sci Rep 2024; 14:2716. [PMID: 38302590 PMCID: PMC10834403 DOI: 10.1038/s41598-024-52937-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 01/25/2024] [Indexed: 02/03/2024] Open
Abstract
Antimicrobial resistance (AR) is one of the greatest threats to global health and is associated with higher treatment costs, longer hospital stays, and increased mortality. Current gold standard antimicrobial susceptibility tests (AST) rely on organism growth rates that result in prolonged time-to-answer for slow growing organisms. Changes in the cellular transcriptome can be rapid in the presence of stressors such as antibiotic pressure, providing the opportunity to develop AST towards transcriptomic signatures. Here, we show that relative quantification of the recA gene is an indicator of pathogen susceptibly when select species are challenged with relevant concentrations of ciprofloxacin. We demonstrate that ciprofloxacin susceptible strains of Y. pestis and B. anthracis have significant increases in relative recA gene expression after 15 min of exposure while resistant strains show no significant differences. Building upon this data, we designed and optimized seven duplex RT-qPCR assays targeting the recA and 16S rRNA gene, response and housekeeping genes, respectively, for multiple biothreat and ESKAPE pathogens. Final evaluation of all seven duplex assays tested against 124 ciprofloxacin susceptible and resistant strains, including Tier 1 pathogens, demonstrated an overall categorical agreement compared to microbroth dilution of 97% using a defined cutoff. Testing pathogen strains commonly associated with urinary tract infections in contrived mock sample sets demonstrated an overall categorical agreement of 96%. These data indicate relative quantification of a single highly conserved gene accurately determines susceptibility for multiple bacterial species in response to ciprofloxacin.
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Affiliation(s)
- Christopher P Stefan
- Diagnostic Systems Division, United States Army Medical Research Institute of Infectious Disease, Fort Detrick, MD, 21702, USA.
| | - Candace D Blancett
- Diagnostic Systems Division, United States Army Medical Research Institute of Infectious Disease, Fort Detrick, MD, 21702, USA
| | - Kimberly A Huynh
- Diagnostic Systems Division, United States Army Medical Research Institute of Infectious Disease, Fort Detrick, MD, 21702, USA
| | - Timothy D Minogue
- Diagnostic Systems Division, United States Army Medical Research Institute of Infectious Disease, Fort Detrick, MD, 21702, USA
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9
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Chen J, Zhong J, Chang Y, Zhou Y, Koo SH, Tan TY, Lei H, Ai Y. Rapid and Accurate Antimicrobial Susceptibility Testing Using Label-Free Electrical Impedance-Based Microfluidic Platform. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2303352. [PMID: 37794624 DOI: 10.1002/smll.202303352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 08/01/2023] [Indexed: 10/06/2023]
Abstract
Antimicrobial resistance has become a serious threat to the global public health. Accurate and rapid antimicrobial susceptibility testing (AST) allows evidence-based prescribing of antibiotics to improve patient care and clinical outcomes. Current culture-based AST assays are inherently limited by the doubling time of bacterial reproduction, which require at least 24 h to have a decisive result. Herein, a label-free electrical impedance-based microfluidic platform designed to expedite and streamline AST procedure for clinical practice is presented. Following a 30-min exposure of bacterial samples to antibiotics, the presented high-throughput, single-bacterium level impedance characterization platform enables a rapid 2-min AST assay. The platform facilitates accurate analysis of individual bacterial viability, as indicated by changes in electrical characteristics, thereby enabling the determination of antimicrobial resistance. Moreover, the potential clinical applicability of this platform is demonstrated by testing different E. coli strains against five antibiotics, yielding 100% categorical agreements compared to standard culture methods.
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Affiliation(s)
- Jiahong Chen
- Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Jianwei Zhong
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore
| | - Yifu Chang
- Joint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macau, 999078, China
| | - Yinning Zhou
- Joint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macau, 999078, China
| | - Seok Hwee Koo
- Department of Laboratory Medicine, Changi General Hospital, Singapore, 529889, Singapore
| | - Thean Yen Tan
- Department of Laboratory Medicine, Changi General Hospital, Singapore, 529889, Singapore
| | - Hongtao Lei
- Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Ye Ai
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore
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Wu W, Suo Y, Zhao Q, Cai G, Liu Y, Jin W, Mu Y, Zhang B. Inoculum size-insensitive susceptibility determination of urine sample based on in-situ measurement of inducible enzyme activity after 20 min of antibiotic exposure. Anal Chim Acta 2023; 1282:341858. [PMID: 37923403 DOI: 10.1016/j.aca.2023.341858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 09/28/2023] [Accepted: 09/28/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND The empirical antibiotic therapies for bacterial infections cause the emergence and propagation of multi-drug resistant bacteria, which not only impair the effectiveness of existing antibiotics but also raise healthcare costs. To reduce the empirical treatments, rapid antimicrobial susceptibility testing (AST) of causative microorganisms in clinical samples should be conducted for prescribing evidence-based antibiotics. However, most of culture-based ASTs suffer from inoculum effect and lack differentiation of target pathogen and commensals, hampering their adoption for evidence-based antibiotic prescription. Therefore, rapid ASTs which can specifically determine pathogens' susceptibilities, regardless of the bacterial load in clinical samples, are in urgent need. RESULTS We present a pathogen-specific and inoculum size-insensitive AST to achieve the reliable susceptibility determination on Escherichia coli (E. coli) in urine samples. The developed AST is featured with an 1 h sample-to-result workflow in a filter, termed on-filter AST. The AST results can be obtained by using an inducible enzymatic assay to in-situ measure the cell response of E. coli collected from urine after 20 min of antibiotic exposure. The calculated detection limit of our AST (1.95 × 104 CFU/mL) is much lower than the diagnosis threshold of urinary tract infections. The specific expression of the inducible enzyme enables on-filter AST to correctly profile the susceptibilities of target pathogen to multi-type antibiotics without the interference from commensals. We performed the on-filter AST on 1 mL urine samples with bacterial loads varying from 105 CFU/mL to 107 CFU/mL and compared the results to that of standard method, demonstrating its insensitivity to inoculum size. SIGNIFICANCE The developed AST is demonstrated to be of high sensitivity, specificity, and insensitive to inoculum size. With further developments for additional bacteria and clinical validation, on-filter AST is promising as a rapid and reliable surrogate of culture-based AST to promote the evidence-based prescription at the first visit and minimize the emergency of new multi-drug resistant microorganisms.
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Affiliation(s)
- Wenshuai Wu
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, China
| | - Yuanjie Suo
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, China
| | - Qianbin Zhao
- Center of Health Science and Engineering, Hebei Key Laboratory of Biomaterials and Smart Theranostics, Hebei University of Technology, Tianjin, 300131, China
| | - Gaozhe Cai
- School of Microelectronics, Shanghai University, Shanghai, 200444, China
| | - Yang Liu
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 102401, China
| | - Wei Jin
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, China; Huzhou Institute of Zhejiang University, Huzhou, 313002, China
| | - Ying Mu
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, China.
| | - Boran Zhang
- State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China.
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11
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Wu W, Zhang B, Yin W, Xia L, Suo Y, Cai G, Liu Y, Jin W, Zhao Q, Mu Y. Enzymatic Antimicrobial Susceptibility Testing with Bacteria Identification in 30 min. Anal Chem 2023; 95:16426-16432. [PMID: 37874622 DOI: 10.1021/acs.analchem.3c04316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Rapid antimicrobial susceptibility testing (AST) with the ability of bacterial identification is urgently needed for evidence-based antibiotic prescription. Herein, we propose an enzymatic AST (enzyAST) that employs β-d-glucuronidase as a biomarker to identify pathogens and profile phenotypic susceptibilities simultaneously. EnzyAST enables to offer binary AST results within 30 min, much faster than standard methods (>16 h). The general applicability of enzyAST was verified by testing the susceptibility of two Escherichia coli strains to three antibiotics with different action mechanisms. The pilot study also shows that the minimal inhibitory concentrations can be determined by enzyAST with the statistical analysis of enzymatic activity of the bacteria population exposed to varying antibiotic concentrations. With further development of multiple bacteria and sample treatment, enzyAST could be able to evaluate the susceptibility of pathogens in clinical samples directly to facilitate the evidence-based therapy.
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Affiliation(s)
- Wenshuai Wu
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
| | - Boran Zhang
- Department of Hydraulic Engineering, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
| | - Weihong Yin
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
| | - Liping Xia
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
| | - Yuanjie Suo
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
| | - Gaozhe Cai
- School of Microelectronics, Shanghai University, Shanghai 200444, China
| | - Yang Liu
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 102401, China
| | - Wei Jin
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
- Huzhou Institute of Zhejiang University, Huzhou 313002, China
| | - Qianbin Zhao
- Center of Health Science and Engineering, Hebei Key Laboratory of Biomaterials and Smart Theranostics, Hebei University of Technology, Tianjin 300131, China
| | - Ying Mu
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
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12
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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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13
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Yamin D, Uskoković V, Wakil AM, Goni MD, Shamsuddin SH, Mustafa FH, Alfouzan WA, Alissa M, Alshengeti A, Almaghrabi RH, Fares MAA, Garout M, Al Kaabi NA, Alshehri AA, Ali HM, Rabaan AA, Aldubisi FA, Yean CY, Yusof NY. Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria. Diagnostics (Basel) 2023; 13:3246. [PMID: 37892067 PMCID: PMC10606640 DOI: 10.3390/diagnostics13203246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 10/14/2023] [Accepted: 10/15/2023] [Indexed: 10/29/2023] Open
Abstract
Antibiotic resistance is a global public health concern, posing a significant threat to the effectiveness of antibiotics in treating bacterial infections. The accurate and timely detection of antibiotic-resistant bacteria is crucial for implementing appropriate treatment strategies and preventing the spread of resistant strains. This manuscript provides an overview of the current and emerging technologies used for the detection of antibiotic-resistant bacteria. We discuss traditional culture-based methods, molecular techniques, and innovative approaches, highlighting their advantages, limitations, and potential future applications. By understanding the strengths and limitations of these technologies, researchers and healthcare professionals can make informed decisions in combating antibiotic resistance and improving patient outcomes.
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Affiliation(s)
- Dina Yamin
- Al-Karak Public Hospital, Karak 61210, Jordan;
- Institute for Research in Molecular Medicine, University Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
- Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, University Malaysia Kelantan, Kota Bharu 16100, Kelantan, Malaysia;
| | - Vuk Uskoković
- TardigradeNano LLC., Irvine, CA 92604, USA;
- Department of Mechanical Engineering, San Diego State University, San Diego, CA 92182, USA
| | - Abubakar Muhammad Wakil
- Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, University Malaysia Kelantan, Kota Bharu 16100, Kelantan, Malaysia;
- Department of Veterinary Physiology and Biochemistry, Faculty of Veterinary Medicine, University of Maiduguri, Maiduguri 600104, Borno, Nigeria
| | - Mohammed Dauda Goni
- Public Health and Zoonoses Research Group, Faculty of Veterinary Medicine, University Malaysia Kelantan, Pengkalan Chepa 16100, Kelantan, Malaysia;
| | - Shazana Hilda Shamsuddin
- Department of Pathology, School of Medical Sciences, University Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia;
| | - Fatin Hamimi Mustafa
- Department of Electronic & Computer Engineering, Faculty of Electrical Engineering, University Teknologi Malaysia, Johor Bharu 81310, Johor, Malaysia;
| | - Wadha A. Alfouzan
- Department of Microbiology, Faculty of Medicine, Kuwait University, Safat 13110, Kuwait;
- Microbiology Unit, Department of Laboratories, Farwania Hospital, Farwania 85000, Kuwait
| | - Mohammed Alissa
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia;
| | - Amer Alshengeti
- Department of Pediatrics, College of Medicine, Taibah University, Al-Madinah 41491, Saudi Arabia;
- Department of Infection Prevention and Control, Prince Mohammad Bin Abdulaziz Hospital, National Guard Health Affairs, Al-Madinah 41491, Saudi Arabia
| | - Rana H. Almaghrabi
- Pediatric Department, Prince Sultan Medical Military City, Riyadh 12233, Saudi Arabia;
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia;
| | - Mona A. Al Fares
- Department of Internal Medicine, King Abdulaziz University Hospital, Jeddah 21589, Saudi Arabia;
| | - Mohammed Garout
- Department of Community Medicine and Health Care for Pilgrims, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia;
| | - Nawal A. Al Kaabi
- College of Medicine and Health Science, Khalifa University, Abu Dhabi 127788, United Arab Emirates;
- Sheikh Khalifa Medical City, Abu Dhabi Health Services Company (SEHA), Abu Dhabi 51900, United Arab Emirates
| | - Ahmad A. Alshehri
- Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Najran University, Najran 61441, Saudi Arabia;
| | - Hamza M. Ali
- Department of Medical Laboratories Technology, College of Applied Medical Sciences, Taibah University, Madinah 41411, Saudi Arabia;
| | - Ali A. Rabaan
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia;
- Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran 31311, Saudi Arabia
- Department of Public Health and Nutrition, The University of Haripur, Haripur 22610, Pakistan
| | | | - Chan Yean Yean
- Department of Medical Microbiology & Parasitology, School of Medical Sciences, University Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Nik Yusnoraini Yusof
- Institute for Research in Molecular Medicine, University Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
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14
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Black C, Al Mahmud H, Howle V, Wilson S, Smith AC, Wakeman CA. Development of a Polymicrobial Checkerboard Assay as a Tool for Determining Combinatorial Antibiotic Effectiveness in Polymicrobial Communities. Antibiotics (Basel) 2023; 12:1207. [PMID: 37508303 PMCID: PMC10376321 DOI: 10.3390/antibiotics12071207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/13/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
The checkerboard assay is a well-established tool used to determine the antimicrobial effects of two compounds in combination. Usually, data collected from the checkerboard assay use visible turbidity and optical density as a readout. While helpful in traditional checkerboard assays, these measurements become less useful in a polymicrobial context as they do not enable assessment of the drug effects on the individual members of the community. The methodology described herein allows for the determination of cell viability through selective and differential plating of each individual species in a community while retaining much of the high-throughput nature of a turbidity-based analysis and requiring no specialized equipment. This methodology further improves turbidity-based measurements by providing a distinction between bacteriostatic versus bactericidal concentrations of antibiotics. Herein, we use this method to demonstrate that the clinically used antibiotic combination of ceftazidime and gentamicin works synergistically against Pseudomonas aeruginosa in monoculture but antagonistically in a polymicrobial culture also containing Acinetobacter baumannii, Staphylococcus aureus, and Enterococcus faecalis, highlighting the fundamental importance of this methodology in improving clinical practices. We propose that this method could be implemented in clinical microbiology laboratories with minimal impact on the overall time for diagnosis.
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Affiliation(s)
- Caroline Black
- Department of Biological Sciences, Texas Tech University, Lubbock, TX 79409, USA; (C.B.)
| | - Hafij Al Mahmud
- Department of Biological Sciences, Texas Tech University, Lubbock, TX 79409, USA; (C.B.)
| | - Victoria Howle
- Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX 79409, USA
| | - Sabrina Wilson
- Department of Honors Studies, Texas Tech University, Lubbock, TX 79409, USA
| | - Allie C. Smith
- Department of Honors Studies, Texas Tech University, Lubbock, TX 79409, USA
| | - Catherine A. Wakeman
- Department of Biological Sciences, Texas Tech University, Lubbock, TX 79409, USA; (C.B.)
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15
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Caliskan-Aydogan O, Alocilja EC. A Review of Carbapenem Resistance in Enterobacterales and Its Detection Techniques. Microorganisms 2023; 11:1491. [PMID: 37374993 DOI: 10.3390/microorganisms11061491] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/23/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
Infectious disease outbreaks have caused thousands of deaths and hospitalizations, along with severe negative global economic impacts. Among these, infections caused by antimicrobial-resistant microorganisms are a major growing concern. The misuse and overuse of antimicrobials have resulted in the emergence of antimicrobial resistance (AMR) worldwide. Carbapenem-resistant Enterobacterales (CRE) are among the bacteria that need urgent attention globally. The emergence and spread of carbapenem-resistant bacteria are mainly due to the rapid dissemination of genes that encode carbapenemases through horizontal gene transfer (HGT). The rapid dissemination enables the development of host colonization and infection cases in humans who do not use the antibiotic (carbapenem) or those who are hospitalized but interacting with environments and hosts colonized with carbapenemase-producing (CP) bacteria. There are continuing efforts to characterize and differentiate carbapenem-resistant bacteria from susceptible bacteria to allow for the appropriate diagnosis, treatment, prevention, and control of infections. This review presents an overview of the factors that cause the emergence of AMR, particularly CRE, where they have been reported, and then, it outlines carbapenemases and how they are disseminated through humans, the environment, and food systems. Then, current and emerging techniques for the detection and surveillance of AMR, primarily CRE, and gaps in detection technologies are presented. This review can assist in developing prevention and control measures to minimize the spread of carbapenem resistance in the human ecosystem, including hospitals, food supply chains, and water treatment facilities. Furthermore, the development of rapid and affordable detection techniques is helpful in controlling the negative impact of infections caused by AMR/CRE. Since delays in diagnostics and appropriate antibiotic treatment for such infections lead to increased mortality rates and hospital costs, it is, therefore, imperative that rapid tests be a priority.
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Affiliation(s)
- Oznur Caliskan-Aydogan
- Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA
- Global Alliance for Rapid Diagnostics, Michigan State University, East Lansing, MI 48824, USA
| | - Evangelyn C Alocilja
- Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA
- Global Alliance for Rapid Diagnostics, Michigan State University, East Lansing, MI 48824, USA
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16
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Jokar J, Saleh RO, Rahimian N, Ghasemian A, Ghaznavi G, Radfar A, Zarenezhad E, Najafipour S. Antibacterial effects of single phage and phage cocktail against multidrug-resistant Klebsiella pneumoniae isolated from diabetic foot ulcer. Virus Genes 2023:10.1007/s11262-023-02004-z. [PMID: 37259013 DOI: 10.1007/s11262-023-02004-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/30/2023] [Indexed: 06/02/2023]
Abstract
Diabetic foot ulcer (DFU) is associated with long-term hospitalization and amputation. Antibiotic resistance has made the infection eradication more difficult. Hence, seeking alternative therapies such as phage therapy seems necessary. Bacteriophages are viruses targeting specific bacterial species. Klebsiella pneumoniae (K. pneumoniae) is among causative agents of the DFU. In this study, the therapeutic effects of single phage and phage cocktail were investigated against multidrug-resistant (MDR) K. pneumonia isolated from DFU. Bacteriophages were isolated from animal feces and sewage samples, and were enriched and propagated using K. pneumoniae as the host. Thirty K. pneumoniae clinical isolates were collected from hospitalized patients with DFU. The antibiotic susceptibility pattern was determined using agar disk diffusion test. The phages' morphological traits were determined using transmission electron microscopy (TEM). The killing effect of isolated phages was assessed using plaque assay. Four phage types were isolated and recognized including KP1, KP2, KP3, and KP4. The bacterial rapid regrowth was observed following each single phage-host interaction, but not phage cocktail due to the evolution of mutant strains. Phage cocktail demonstrated significantly higher antibacterial activity than each single phage (p < 0.05) without any bacterial regrowth. The employment of phage cocktail was promising for the eradication of MDR-K. pneumoniae isolates. The development of phage therapy in particular, phage cocktail is promising as an efficient approach to eradicate MDR-K. pneumoniae isolated from DFU. The application of a specific phage cocktail can be investigated to try and achieve the eradication of various infections.
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Affiliation(s)
- Javad Jokar
- School of Advanced Technologies in Medicine, Fasa University of Medical Science, Fasa, Iran
- Department of Tissue Engineering, Faculty of Medicine, Fasa University of Medical Science, Fasa, Iran
| | - Raed Obaid Saleh
- Department of Pathological Analysis, College of Applied Science, University of Fallujah, Al-Anbar, Iraq
| | - Niloofar Rahimian
- Department of Biotechnology, Faculty of Medicine, Fasa University of Medical Sciences, Fasa, Iran
| | - Abdolmajid Ghasemian
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Ghazal Ghaznavi
- Department of Microbiology, Faculty of Medicine, Fasa University of Medical Sciences, Fasa, Iran
- Department of Medical Biotechnology, School of Advanced Medical Science, and Technologies, Shiraz University If Medical Sciences, Shiraz, Iran
| | - Amirhossein Radfar
- Department of Medical Parasitology, School of Advanced Medical Science, and Technologies, Shiraz University If Medical Sciences, Shiraz, Iran
| | - Elham Zarenezhad
- Department of Biotechnology, Faculty of Medicine, Fasa University of Medical Sciences, Fasa, Iran
| | - Sohrab Najafipour
- School of Advanced Technologies in Medicine, Fasa University of Medical Science, Fasa, Iran.
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17
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Wu W, Cai G, Liu Y, Suo Y, Zhang B, Jin W, Yu Y, Mu Y. Direct single-cell antimicrobial susceptibility testing of Escherichia coli in urine using a ready-to-use 3D microwell array chip. LAB ON A CHIP 2023; 23:2399-2410. [PMID: 36806255 DOI: 10.1039/d2lc01095j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Empirical antibiotic therapies are prescribed for treating uncomplicated urinary tract infections (UTIs) due to the long turnaround time of conventional antimicrobial susceptibility testing (AST), leading to the prevalence of multi-drug resistant pathogens. We present a ready-to-use 3D microwell array chip to directly conduct comprehensive AST of pathogenic agents in urine at the single-cell level. The developed device features a highly integrated 3D microwell array, offering a dynamic range from 102 to 107 CFU mL-1, and a capillary valve-based flow distributor for flow equidistribution in dispensing channels and uniform sample distribution. The chip with pre-loaded reagents and negative pressure inside only requires the user to initiate AST by loading samples (∼3 s) and can work independently. We demonstrate an accessible sample-to-result workflow, including syringe filter-based bacteria separation and rapid single-cell AST on chip, which enables us to bypass the time-consuming bacteria isolation and pre-culture, speeding up the AST in ∼3 h from 2 days of conventional methods. Moreover, the bacterial concentration and AST with minimum inhibitory concentrations can be assessed simultaneously to provide comprehensive information on infections. With further development for multiple antibiotic conditions, the Dsc-AST assay could contribute to timely prescription of targeted drugs for better patient outcomes and mitigation of the threat of drug-resistant bacteria.
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Affiliation(s)
- Wenshuai Wu
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China.
| | - Gaozhe Cai
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Yang Liu
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 102401, China
| | - Yuanjie Suo
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China.
| | - Boran Zhang
- Department of Hydraulic Engineering, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
| | - Wei Jin
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China.
- Huzhou Institute of Zhejiang University, Huzhou 313002, China
| | - Yinghua Yu
- Jiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Ying Mu
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China.
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18
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Šebela M. The use of matrix-assisted laser desorption/ionization mass spectrometry in enzyme activity assays and its position in the context of other available methods. MASS SPECTROMETRY REVIEWS 2023; 42:1008-1031. [PMID: 34549449 DOI: 10.1002/mas.21733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 08/28/2021] [Accepted: 08/30/2021] [Indexed: 06/13/2023]
Abstract
Activity assays are indispensable for studying biochemical properties of enzymes. The purposes of measuring activity are wide ranging from a simple detection of the presence of an enzyme to kinetic experiments evaluating the substrate specificity, reaction mechanisms, and susceptibility to inhibitors. Common activity assay methods include spectroscopy, electrochemical sensors, or liquid chromatography coupled with various detection techniques. This review focuses on the use of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) as a growing and modern alternative, which offers high speed of analysis, sensitivity, versatility, possibility of automation, and cost-effectiveness. It may reveal reaction intermediates, side products or measure more enzymes at once. The addition of an internal standard or calculating the ratios of the substrate and product peak intensities and areas overcome the inherent inhomogeneous distribution of analyte and matrix in the sample spot, which otherwise results in a poor reproducibility. Examples of the application of MALDI-TOF MS for assaying hydrolases (including peptidases and β-lactamases for antibiotic resistance tests) and other enzymes are provided. Concluding remarks summarize advantages and challenges coming from the present experience, and draw future perspectives such as a screening of large libraries of chemical compounds for their substrate or inhibitory properties towards enzymes.
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Affiliation(s)
- Marek Šebela
- Department of Biochemistry, Faculty of Science, and CATRIN, Palacký University, Olomouc, Czech Republic
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19
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Zhou J, Huang J, Huang H, Zhao C, Zou M, Liu D, Weng X, Liu L, Qu J, Liu L, Liao C, Wang Y. Fiber-integrated cantilever-based nanomechanical biosensors as a tool for rapid antibiotic susceptibility testing. BIOMEDICAL OPTICS EXPRESS 2023; 14:1862-1873. [PMID: 37206142 PMCID: PMC10191643 DOI: 10.1364/boe.484015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 02/19/2023] [Accepted: 03/10/2023] [Indexed: 05/21/2023]
Abstract
There is an urgent need for developing rapid and affordable antibiotic susceptibility testing (AST) technologies to inhibit the overuse of antibiotics. In this study, a novel microcantilever nanomechanical biosensor based on Fabry-Pérot interference demodulation was developed for AST. To construct the biosensor, a cantilever was integrated with the single mode fiber in order to form the Fabry-Pérot interferometer (FPI). After the attachment of bacteria on the cantilever, the fluctuations of cantilever caused by the bacterial movements were detected by monitoring the changes of resonance wavelength in the interference spectrum. We applied this methodology to Escherichia coli and Staphylococcus aureus, showing the amplitude of cantilever's fluctuations was positively related on the quantity of bacteria immobilized on the cantilever and associated with the bacterial metabolism. The response of bacteria to antibiotics was dependent on the types of bacteria, the types and concentrations of antibiotics. Moreover, the minimum inhibitory and bactericidal concentrations for Escherichia coli were obtained within 30 minutes, demonstrating the capacity of this method for rapid AST. Benefiting from the simplicity and portability of the optical fiber FPI-based nanomotion detection device, the developed nanomechanical biosensor in this study provides a promising technique for AST and a more rapid alternative for clinical laboratories.
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Affiliation(s)
- Jie Zhou
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fiber Sensors, Shenzhen University, Shenzhen 518060, China
| | - Jiabin Huang
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fiber Sensors, Shenzhen University, Shenzhen 518060, China
| | - Haoqiang Huang
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fiber Sensors, Shenzhen University, Shenzhen 518060, China
| | - Cong Zhao
- Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, 518000, China
| | - Mengqiang Zou
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fiber Sensors, Shenzhen University, Shenzhen 518060, China
| | - Dejun Liu
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fiber Sensors, Shenzhen University, Shenzhen 518060, China
| | - Xiaoyu Weng
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Liwei Liu
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Junle Qu
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Li Liu
- Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China
| | - Changrui Liao
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fiber Sensors, Shenzhen University, Shenzhen 518060, China
| | - Yiping Wang
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fiber Sensors, Shenzhen University, Shenzhen 518060, China
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20
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Caliskan-Aydogan O, Sharief SA, Alocilja EC. Nanoparticle-Based Plasmonic Biosensor for the Unamplified Genomic Detection of Carbapenem-Resistant Bacteria. Diagnostics (Basel) 2023; 13:diagnostics13040656. [PMID: 36832142 PMCID: PMC9955743 DOI: 10.3390/diagnostics13040656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 02/02/2023] [Accepted: 02/04/2023] [Indexed: 02/12/2023] Open
Abstract
Antimicrobial resistance (AMR) is a global public health issue, and the rise of carbapenem-resistant bacteria needs attention. While progress is being made in the rapid detection of resistant bacteria, affordability and simplicity of detection still need to be addressed. This paper presents a nanoparticle-based plasmonic biosensor for detecting the carbapenemase-producing bacteria, particularly the beta-lactam Klebsiella pneumoniae carbapenemase (blaKPC) gene. The biosensor used dextrin-coated gold nanoparticles (GNPs) and an oligonucleotide probe specific to blaKPC to detect the target DNA in the sample within 30 min. The GNP-based plasmonic biosensor was tested in 47 bacterial isolates: 14 KPC-producing target bacteria and 33 non-target bacteria. The stability of GNPs, confirmed by the maintenance of their red appearance, indicated the presence of target DNA due to probe-binding and GNP protection. The absence of target DNA was indicated by the agglomeration of GNPs, corresponding to a color change from red to blue or purple. The plasmonic detection was quantified with absorbance spectra measurements. The biosensor successfully detected and differentiated the target from non-target samples with a detection limit of 2.5 ng/μL, equivalent to ~103 CFU/mL. The diagnostic sensitivity and specificity were found to be 79% and 97%, respectively. The GNP plasmonic biosensor is simple, rapid, and cost-effective in detecting blaKPC-positive bacteria.
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Affiliation(s)
- Oznur Caliskan-Aydogan
- Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA
- Global Alliance for Rapid Diagnostics, Michigan State University, East Lansing, MI 48824, USA
| | - Saad Asadullah Sharief
- Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA
- Global Alliance for Rapid Diagnostics, Michigan State University, East Lansing, MI 48824, USA
| | - Evangelyn C. Alocilja
- Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA
- Global Alliance for Rapid Diagnostics, Michigan State University, East Lansing, MI 48824, USA
- Correspondence:
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21
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Genomic Insights and Functional Analysis Reveal Plant Growth Promotion Traits of Paenibacillus mucilaginosus G78. Genes (Basel) 2023; 14:genes14020392. [PMID: 36833318 PMCID: PMC9956331 DOI: 10.3390/genes14020392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 01/21/2023] [Accepted: 01/26/2023] [Indexed: 02/05/2023] Open
Abstract
Paenibacillus mucilaginosus has widely been reported as a plant growth-promoting rhizobacteria (PGPR). However, the important genomic insights into plant growth promotion in this species remain undescribed. In this study, the genome of P. mucilaginosus G78 was sequenced using Illumina NovaSeq PE150. It contains 8,576,872 bp with a GC content of 58.5%, and was taxonomically characterized. Additionally, a total of 7337 genes with 143 tRNAs, 41 rRNAs, and 5 ncRNAs were identified. This strain can prohibit the growth of the plant pathogen, but also has the capability to form biofilm, solubilize phosphate, and produce IAA. Twenty-six gene clusters encoding secondary metabolites were identified, and the genotypic characterization indirectly proved its resistant ability to ampicillin, bacitracin, polymyxin and chloramphenicol. The putative exopolysaccharide biosynthesis and biofilm formation gene clusters were explored. According to the genetic features, the potential monosaccharides of its exopolysaccharides for P. mucilaginosus G78 may include glucose, mannose, galactose, fucose, that can probably be acetylated and pyruvated. Conservation of the pelADEFG compared with other 40 Paenibacillus species suggests that Pel may be specific biofilm matrix component in P. mucilaginosus. Several genes relevant to plant growth-promoting traits, i.e., IAA production and phosphate solubilization are well conserved compared with other 40 other Paenibacillus strains. The current study can benefit for understanding the plant growth-promoting traits of P. mucilaginosus as well as its potential application in agriculture as PGPR.
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22
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Lu W, Li H, Qiu H, Wang L, Feng J, Fu YV. Identification of pathogens and detection of antibiotic susceptibility at single-cell resolution by Raman spectroscopy combined with machine learning. Front Microbiol 2023; 13:1076965. [PMID: 36687641 PMCID: PMC9846160 DOI: 10.3389/fmicb.2022.1076965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 12/06/2022] [Indexed: 01/05/2023] Open
Abstract
Rapid, accurate, and label-free detection of pathogenic bacteria and antibiotic resistance at single-cell resolution is a technological challenge for clinical diagnosis. Overcoming the cumbersome culture process of pathogenic bacteria and time-consuming antibiotic susceptibility assays will significantly benefit early diagnosis and optimize the use of antibiotics in clinics. Raman spectroscopy can collect molecular fingerprints of pathogenic bacteria in a label-free and culture-independent manner, which is suitable for pathogen diagnosis at single-cell resolution. Here, we report a method based on Raman spectroscopy combined with machine learning to rapidly and accurately identify pathogenic bacteria and detect antibiotic resistance at single-cell resolution. Our results show that the average accuracy of identification of 12 species of common pathogenic bacteria by the machine learning method is 90.73 ± 9.72%. Antibiotic-sensitive and antibiotic-resistant strains of Acinetobacter baumannii isolated from hospital patients were distinguished with 99.92 ± 0.06% accuracy using the machine learning model. Meanwhile, we found that sensitive strains had a higher nucleic acid/protein ratio and antibiotic-resistant strains possessed abundant amide II structures in proteins. This study suggests that Raman spectroscopy is a promising method for rapidly identifying pathogens and detecting their antibiotic susceptibility.
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Affiliation(s)
- Weilai Lu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Haifei Li
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Haoning Qiu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Lu Wang
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jie Feng
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yu Vincent Fu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China,Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China,*Correspondence: Yu Vincent Fu,
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23
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Ding Y, Huang C, Chen M, Wang J, Shao Y, Wang X. Rapid and simultaneous detection of viable S. aureus and its penicillin susceptibility by phage amplification techniques in different food matrices. Lebensm Wiss Technol 2023. [DOI: 10.1016/j.lwt.2023.114526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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24
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Heuer C, Preuss JA, Buttkewitz M, Scheper T, Segal E, Bahnemann J. A 3D-printed microfluidic gradient generator with integrated photonic silicon sensors for rapid antimicrobial susceptibility testing. LAB ON A CHIP 2022; 22:4950-4961. [PMID: 36412200 DOI: 10.1039/d2lc00640e] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
With antimicrobial resistance becoming a major threat to healthcare settings around the world, there is a paramount need for rapid point-of-care antimicrobial susceptibility testing (AST) diagnostics. Unfortunately, most currently available clinical AST tools are lengthy, laborious, or are simply inappropriate for point-of-care testing. Herein, we design a 3D-printed microfluidic gradient generator that automatically produces two-fold dilution series of clinically relevant antimicrobials. We first establish the compatibility of these generators for classical AST (i.e., broth microdilution) and then extend their application to include a complete on-chip label-free and phenotypic AST. This is accomplished by the integration of photonic silicon chips, which provide a preferential surface for microbial colonization and allow optical tracking of bacterial behavior and growth at a solid-liquid interface in real-time by phase shift reflectometric interference spectroscopic measurements (PRISM). Using Escherichia coli and ciprofloxacin as a model pathogen-drug combination, we successfully determine the minimum inhibitory concentration within less than 90 minutes. This gradient generator-based PRISM assay provides an integrated AST device that is viable for convenient point-of-care testing and offers a promising and most importantly, rapid alternative to current clinical practices, which extend to 8-24 h.
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Affiliation(s)
- Christopher Heuer
- Institute of Technical Chemistry, Leibniz University Hannover, 30167 Hannover, Germany
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, 320003 Haifa, Israel.
| | - John-Alexander Preuss
- Institute of Technical Chemistry, Leibniz University Hannover, 30167 Hannover, Germany
- Institute of Physics, University of Augsburg, 86159 Augsburg, Germany.
| | - Marc Buttkewitz
- Institute of Technical Chemistry, Leibniz University Hannover, 30167 Hannover, Germany
| | - Thomas Scheper
- Institute of Technical Chemistry, Leibniz University Hannover, 30167 Hannover, Germany
| | - Ester Segal
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, 320003 Haifa, Israel.
| | - Janina Bahnemann
- Institute of Technical Chemistry, Leibniz University Hannover, 30167 Hannover, Germany
- Institute of Physics, University of Augsburg, 86159 Augsburg, Germany.
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25
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Overcoming Antibiotic Resistance with Novel Paradigms of Antibiotic Selection. Microorganisms 2022; 10:microorganisms10122383. [PMID: 36557636 PMCID: PMC9781420 DOI: 10.3390/microorganisms10122383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 11/25/2022] [Accepted: 11/28/2022] [Indexed: 12/04/2022] Open
Abstract
Conventional antimicrobial susceptibility tests, including phenotypic and genotypic methods, are insufficiently accurate and frequently fail to identify effective antibiotics. These methods predominantly select therapies based on the antibiotic response of only the lead bacterial pathogen within pure bacterial culture. However, this neglects the fact that, in the majority of human infections, the lead bacterial pathogens are present as a part of multispecies communities that modulate the response of these lead pathogens to antibiotics and that multiple pathogens can contribute to the infection simultaneously. This discrepancy is a major cause of the failure of antimicrobial susceptibility tests to detect antibiotics that are effective in vivo. This review article provides a comprehensive overview of the factors that are missed by conventional antimicrobial susceptibility tests and it explains how accounting for these methods can aid the development of novel diagnostic approaches.
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26
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Sun L, Xu Y, Rao Z, Chen J, Liu Z, Lu N. YOLO Algorithm for Long-Term Tracking and Detection of Escherichia Coli at Different Depths of Microchannels Based on Microsphere Positioning Assistance. SENSORS (BASEL, SWITZERLAND) 2022; 22:7454. [PMID: 36236553 PMCID: PMC9572565 DOI: 10.3390/s22197454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/23/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
The effect evaluation of the antibiotic susceptibility test based on bacterial solution is of great significance for clinical diagnosis and prevention of antibiotic abuse. Applying a microfluidic chip as the detection platform, the detection method of using microscopic images to observe bacteria under antibiotic can greatly speed up the detection time, which is more suitable for high-throughput detection. However, due to the influence of the depth of the microchannel, there are multiple layers of bacteria under the focal depth of the microscope, which greatly affects the counting and recognition accuracy and increases the difficulty of relocation of the target bacteria, as well as extracting the characteristics of bacterial liquid changes under the action of antibiotics. After the focal depth of the target bacteria is determined, although the z-axis can be controlled with the help of a three-dimensional micro-operator, the equipment is difficult to operate and the long-term changes of the target bacteria cannot be tracked quickly and accurately. In this paper, the YOLOv5 algorithm is adopted to accurately identify bacteria with different focusing states of multi-layer bacteria at the z-axis with any focal depth. In the meantime, a certain amount of microspheres were mixed into bacteria to assist in locating bacteria, which was convenient for tracking the growth state of bacteria over a long period, and the recognition rates of both bacteria and microspheres were high. The recognition accuracy and counting accuracy of bacteria are 0.734 and 0.714, and the two recognition rates of microspheres are 0.910 and 0.927, respectively, which are much higher than the counting accuracy of 0.142 for bacteria and 0.781 for microspheres with the method of enhanced depth of field (EDF method). Moreover, during long-term bacterial tracking and detection, target bacteria at multiple z-axis focal depth positions can be recorded by the aid of microspheres as a positioning aid for 3D reconstruction, and the focal depth positions can be repositioned within 3-10 h. The structural similarity (SSIM) of microscopic image structure differences at the same focal depth fluctuates between 0.960 and 0.975 at different times, and the root-mean-square error (RMSE) fluctuates between 8 and 12, which indicates that the method also has good relocation accuracy. Thus, this method provides the basis for rapid, high-throughput, and long-term analysis of microscopic changes (e.g., morphology, size) of bacteria detection under the addition of antibiotics with different concentrations based on microfluidic channels in the future.
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Affiliation(s)
| | - Ying Xu
- Correspondence: ; Tel.: +86-18958008556
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27
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Zhang W, Sun H, He S, Chen X, Yao L, Zhou L, Wang Y, Wang P, Hong W. Compound Raman microscopy for rapid diagnosis and antimicrobial susceptibility testing of pathogenic bacteria in urine. Front Microbiol 2022; 13:874966. [PMID: 36090077 PMCID: PMC9449455 DOI: 10.3389/fmicb.2022.874966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 08/05/2022] [Indexed: 11/23/2022] Open
Abstract
Rapid identification and antimicrobial susceptibility testing (AST) of bacteria are key interventions to curb the spread and emergence of antimicrobial resistance. The current gold standard identification and AST methods provide comprehensive diagnostic information but often take 3 to 5 days. Here, a compound Raman microscopy (CRM), which integrates Raman spectroscopy and stimulated Raman scattering microscopy in one system, is presented and demonstrated for rapid identification and AST of pathogens in urine. We generated an extensive bacterial Raman spectral dataset and applied deep learning to identify common clinical bacterial pathogens. In addition, we employed stimulated Raman scattering microscopy to quantify bacterial metabolic activity to determine their antimicrobial susceptibility. For proof-of-concept, we demonstrated an integrated assay to diagnose urinary tract infection pathogens, S. aureus and E. coli. Notably, the CRM system has the unique ability to provide Gram-staining classification and AST results within ~3 h directly from urine samples and shows great potential for clinical applications.
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Affiliation(s)
- Weifeng Zhang
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Hongyi Sun
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Shipei He
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Xun Chen
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- School of Engineering Medicine, Beihang University, Beijing, China
| | - Lin Yao
- Department of Urology, Peking University First Hospital, Beijing, China
- Lin Yao,
| | - Liqun Zhou
- Department of Urology, Peking University First Hospital, Beijing, China
| | - Yi Wang
- Department of Clinical Laboratory, China Rehabilitation Research Center, Capital Medical University, Beijing, China
| | - Pu Wang
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- *Correspondence: Pu Wang,
| | - Weili Hong
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Weili Hong,
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28
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Al-Shaebi Z, Uysal Ciloglu F, Nasser M, Aydin O. Highly Accurate Identification of Bacteria's Antibiotic Resistance Based on Raman Spectroscopy and U-Net Deep Learning Algorithms. ACS OMEGA 2022; 7:29443-29451. [PMID: 36033656 PMCID: PMC9404519 DOI: 10.1021/acsomega.2c03856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
Bacterial pathogens especially antibiotic-resistant ones are a public health concern worldwide. To oppose the morbidity and mortality associated with them, it is critical to select an appropriate antibiotic by performing a rapid bacterial diagnosis. Using a combination of Raman spectroscopy and deep learning algorithms to identify bacteria is a rapid and reliable method. Nevertheless, due to the loss of information during training a model, some deep learning algorithms suffer from low accuracy. Herein, we modify the U-Net architecture to fit our purpose of classifying the one-dimensional Raman spectra. The proposed U-Net model provides highly accurate identification of the 30 isolates of bacteria and yeast, empiric treatment groups, and antimicrobial resistance, thanks to its capability to concatenate and copy important features from the encoder layers to the decoder layers, thereby decreasing the data loss. The accuracies of the model for the 30-isolate level, empiric treatment level, and antimicrobial resistance level tasks are 86.3, 97.84, and 95%, respectively. The proposed deep learning model has a high potential for not only bacterial identification but also for other diagnostic purposes in the biomedical field.
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Affiliation(s)
- Zakarya Al-Shaebi
- Department
of Biomedical Engineering, Erciyes University, 38039 Kayseri, Turkey
- NanoThera
Lab, Drug Application and Research Center (ERFARMA), Erciyes University, 38039 Kayseri, Turkey
| | - Fatma Uysal Ciloglu
- Department
of Biomedical Engineering, Erciyes University, 38039 Kayseri, Turkey
- NanoThera
Lab, Drug Application and Research Center (ERFARMA), Erciyes University, 38039 Kayseri, Turkey
| | - Mohammed Nasser
- Department
of Geomatics Engineering, Erciyes University, 38039 Kayseri, Turkey
| | - Omer Aydin
- Department
of Biomedical Engineering, Erciyes University, 38039 Kayseri, Turkey
- NanoThera
Lab, Drug Application and Research Center (ERFARMA), Erciyes University, 38039 Kayseri, Turkey
- Clinical
Engineering Research and Implementation Center, (ERKAM), Erciyes University, 38030 Kayseri, Turkey
- Nanotechnology
Research and Application Center (ERNAM), Erciyes University, 38039 Kayseri, Turkey
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29
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Antibiotic Susceptibility of Bacterial Pathogens That Infect Olive Flounder (Paralichthys olivaceus) Cultivated in Korea. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19138110. [PMID: 35805768 PMCID: PMC9265876 DOI: 10.3390/ijerph19138110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 06/18/2022] [Accepted: 06/28/2022] [Indexed: 01/27/2023]
Abstract
Paralichthys olivaceus (olive flounder) is widely cultivated in Korea. However, data on the antibiotic susceptibility of bacterial pathogens that infect olive flounders in Korea are limited. The susceptibility of 84 strains of 3 pathogenic bacteria (Streptococcus spp., Vibrio spp., and Edwardsiella piscicida) to 18 antibiotics was tested using the minimum inhibitory concentration (MIC) panels, and the distribution of the MIC values for each species was confirmed. Among the panel antibiotics, nine commonly used antibiotics were selected, and the multiple antibiotic resistance (MAR) index and antibiotic resistance pattern were indicated using the disk diffusion method. It was confirmed that most of the isolates had a MAR index greater than 0.2, indicating a high-risk source. The distribution patterns of the MIC values and resistance pattern between gram-positive and gram-negative bacteria showed slightly different results. Ampicillin, erythromycin, and clindamycin were more effective against gram-positive bacteria than gram-negative bacteria. However, the MIC values of flumequine for gram-positive bacteria were higher than those of gram-negative bacteria. Through the distribution patterns of the MIC values and resistance patterns presented in this study, the need for monitoring the multidrug-resistant bacteria in aquaculture is emphasised.
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30
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Gao X, Li M, Zhao M, Wang X, Wang S, Liu Y. Metabolism-Triggered Colorimetric Sensor Array for Fingerprinting and Antibiotic Susceptibility Testing of Bacteria. Anal Chem 2022; 94:6957-6966. [PMID: 35500293 DOI: 10.1021/acs.analchem.1c05006] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The rapid identification and antibiotic susceptibility testing (AST) of bacteria would help us to accurately identify the infectious sources as well as guide the use of antibiotics, which are crucial for improving the survival rate and antimicrobial resistance. Herein, a colorimetric sensor array for bacteria fingerprinting was constructed with d-amino acid (d-AA)-modified gold nanoparticles (AuNPs) as probes (Au/d-AA). Bacteria can metabolize the d-AA, triggering the aggregation of AuNPs. Making use of different metabolic capabilities of bacteria toward different d-AA, eight kinds of bacteria including antibiotic-resistant bacteria and strains of the same bacterial species are successfully differentiated via learning the response patterns. Meanwhile, the sensor array also performs well in quantitative analysis of single bacterium and differentiation of bacteria mixtures. More interestingly, a rapid colorimetric AST approach has been developed based on the Au/d-AA nanoprobes by monitoring the d-AA metabolic activity of bacteria toward various antibiotic treatments. In this regard, the outlined work here would promote clinical practicability and facilitate antibiotic stewardship.
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Affiliation(s)
- Xia Gao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, P. R. China
| | - Miaomiao Li
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, P. R. China
| | - Minyang Zhao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, P. R. China
| | - Xinke Wang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, P. R. China
| | - Shuo Wang
- Tianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300071, P. R. China
| | - Yaqing Liu
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, P. R. China
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31
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Considerable Production of Ulvan from Ulva lactuca with Special Emphasis on Its Antimicrobial and Anti-fouling Properties. Appl Biochem Biotechnol 2022; 194:3097-3118. [PMID: 35347670 PMCID: PMC9205838 DOI: 10.1007/s12010-022-03867-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 02/24/2022] [Indexed: 11/17/2022]
Abstract
In the current study, a significant amount of ulvan was extracted from Ulva lactuca collected from Alexandria coastline, Egypt, using a simple extraction method. According to the chemical analysis, the obtained polysaccharide content is estimated to be 36.50 g/100 g with a high sulfate content of 19.72%. Physio-chemically, the FTIR analysis confirmed the presence of sulfated groups attached to the carbohydrate backbone. The GC–MS results revealed the presence of various monosaccharides with relative abundances in the order: fucopyranose (22.09%) > L-rhamnose (18.17%) > L-fucose (17.46%) > rhamnopyranose (14.29%) > mannopyranose (8.59%) > α-D-glactopyranose (7.64%) > galactopyranose (6.14%) > β-arabinopyranose (5.62%). In addition, the SEM–EDX depicted an amorphous architecture with a majority wt% for the elements of C, O, and S. The partially purified ulvan demonstrated potent antimicrobial activity against some fish and human pathogenic microbes. The inhibition zone diameter ranged from 11 to 18 mm. On the other hand, the prepared ulvan-chitosan hydrogel significantly improved the antimicrobial activity as the inhibition zone diameter ranged from 12 to 20. Moreover, when compared to the controls, the extracted ulvan demonstrated anti-fouling properties and successfully disrupted the biofilm formed on a glass slide submerged in seawater.
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Antimicrobial Susceptibility Testing: A Comprehensive Review of Currently Used Methods. Antibiotics (Basel) 2022; 11:antibiotics11040427. [PMID: 35453179 PMCID: PMC9024665 DOI: 10.3390/antibiotics11040427] [Citation(s) in RCA: 78] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/18/2022] [Accepted: 03/18/2022] [Indexed: 02/04/2023] Open
Abstract
Antimicrobial resistance (AMR) has emerged as a major threat to public health globally. Accurate and rapid detection of resistance to antimicrobial drugs, and subsequent appropriate antimicrobial treatment, combined with antimicrobial stewardship, are essential for controlling the emergence and spread of AMR. This article reviews common antimicrobial susceptibility testing (AST) methods and relevant issues concerning the advantages and disadvantages of each method. Although accurate, classic technologies used in clinical microbiology to profile antimicrobial susceptibility are time-consuming and relatively expensive. As a result, physicians often prescribe empirical antimicrobial therapies and broad-spectrum antibiotics. Although recently developed AST systems have shown advantages over traditional methods in terms of testing speed and the potential for providing a deeper insight into resistance mechanisms, extensive validation is required to translate these methodologies to clinical practice. With a continuous increase in antimicrobial resistance, additional efforts are needed to develop innovative, rapid, accurate, and portable diagnostic tools for AST. The wide implementation of novel devices would enable the identification of the optimal treatment approaches and the surveillance of antibiotic resistance in health, agriculture, and the environment, allowing monitoring and better tackling the emergence of AMR.
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33
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A Review of Raman-Based Technologies for Bacterial Identification and Antimicrobial Susceptibility Testing. PHOTONICS 2022. [DOI: 10.3390/photonics9030133] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Antimicrobial resistance (AMR) is a global medical threat that seriously endangers human health. Rapid bacterial identification and antimicrobial susceptibility testing (AST) are key interventions to combat the spread and emergence of AMR. Although current clinical bacterial identification and AST provide comprehensive information, they are labor-intensive, complex, inaccurate, and slow (requiring several days, depending on the growth of pathogenic bacteria). Recently, Raman-based identification and AST technologies have played an increasingly important role in fighting AMR. This review summarizes major Raman-based techniques for bacterial identification and AST, including spontaneous Raman scattering, surface-enhanced Raman scattering (SERS), and coherent Raman scattering (CRS) imaging. Then, we discuss recent developments in rapid identification and AST methods based on Raman technology. Finally, we highlight the major challenges and potential future efforts to improve clinical outcomes through rapid bacterial identification and AST.
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Isguven S, Fitzgerald K, Delaney LJ, Harwood M, Schaer TP, Hickok NJ. In vitro investigations of Staphylococcus aureus biofilms in physiological fluids suggest that current antibiotic delivery systems may be limited. Eur Cell Mater 2022; 43:6-21. [PMID: 35106744 PMCID: PMC10043781 DOI: 10.22203/ecm.v043a03] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Orthopaedic surgical site infections, especially when a hardware is involved, are associated with biofilm formation. Clinical strategies for biofilm eradication still fall short. The present study used a novel animal model of long-bone fixation with vancomycin- or gentamicin-controlled release and measured the levels of antibiotic achieved at the site of release and in the surrounding tissue. Then, using fluids that contain serum proteins (synovial fluid or diluted serum), the levels of vancomycin or gentamicin required to substantially reduce colonising bacteria were measured in a model representative of either prophylaxis or established biofilms. In the in vivo model, while the levels immediately adjacent to the antibiotic release system were up to 50× the minimal inhibitory concentration in the first 24 h, they rapidly dropped. At peripheral sites, values never reached these levels. In the in vitro experiments, Staphylococcus aureus biofilms formed in serum or in synovial fluid showed a 5-10 fold increase in antibiotic tolerance. Importantly, concentrations required were much higher than those achieved in the local delivery systems. Finally, the study determined that the staged addition of vancomycin and gentamicin was not more efficacious than simultaneous vancomycin and gentamicin administration when using planktonic bacteria. On the other hand, for biofilms, the staged addition seemed more efficacious than adding the antibiotics simultaneously. Overall, data showed that the antibiotics' concentrations near the implant in the animal model fall short of the concentrations required to eradicate biofilms formed in either synovial fluid or serum.
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Affiliation(s)
| | | | | | | | - T P Schaer
- Department of Clinical Studies, New Bolton Center, University of Pennsylvania School of Veterinary Medicine, 382 West Street Road, Kennett Square, PA 19348, Philadelphia,
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35
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Sun B, Wang Z, Lin J, Chen C, Zheng G, Yue S, Wang H, Kang X, Chen X, Hong W, Wang P. Automatic quantitative analysis of metabolism inactivation concentration in single bacterium using stimulated Raman scattering microscopy with deep learning image segmentation. MEDICINE IN NOVEL TECHNOLOGY AND DEVICES 2022. [DOI: 10.1016/j.medntd.2022.100114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Nakar A, Pistiki A, Ryabchykov O, Bocklitz T, Rösch P, Popp J. Detection of multi-resistant clinical strains of E. coli with Raman spectroscopy. Anal Bioanal Chem 2022; 414:1481-1492. [PMID: 34982178 PMCID: PMC8761712 DOI: 10.1007/s00216-021-03800-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/05/2021] [Accepted: 11/22/2021] [Indexed: 01/08/2023]
Abstract
In recent years, we have seen a steady rise in the prevalence of antibiotic-resistant bacteria. This creates many challenges in treating patients who carry these infections, as well as stopping and preventing outbreaks. Identifying these resistant bacteria is critical for treatment decisions and epidemiological studies. However, current methods for identification of resistance either require long cultivation steps or expensive reagents. Raman spectroscopy has been shown in the past to enable the rapid identification of bacterial strains from single cells and cultures. In this study, Raman spectroscopy was applied for the differentiation of resistant and sensitive strains of Escherichia coli. Our focus was on clinical multi-resistant (extended-spectrum β-lactam and carbapenem-resistant) bacteria from hospital patients. The spectra were collected using both UV resonance Raman spectroscopy in bulk and single-cell Raman microspectroscopy, without exposure to antibiotics. We found resistant strains have a higher nucleic acid/protein ratio, and used the spectra to train a machine learning model that differentiates resistant and sensitive strains. In addition, we applied a majority of voting system to both improve the accuracy of our models and make them more applicable for a clinical setting. This method could allow rapid and accurate identification of antibiotic resistant bacteria, and thus improve public health.
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Affiliation(s)
- Amir Nakar
- Leibniz Institute of Photonic Technology Jena (a Member of Leibniz Health Technologies), Albert-Einstein-Straße 9, 07745, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743, Jena, Germany
- Research Campus Infectognostics Jena E.V, Philosophenweg 7, 07743, Jena, Germany
| | - Aikaterini Pistiki
- Leibniz Institute of Photonic Technology Jena (a Member of Leibniz Health Technologies), Albert-Einstein-Straße 9, 07745, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743, Jena, Germany
- Research Campus Infectognostics Jena E.V, Philosophenweg 7, 07743, Jena, Germany
| | - Oleg Ryabchykov
- Leibniz Institute of Photonic Technology Jena (a Member of Leibniz Health Technologies), Albert-Einstein-Straße 9, 07745, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743, Jena, Germany
| | - Thomas Bocklitz
- Leibniz Institute of Photonic Technology Jena (a Member of Leibniz Health Technologies), Albert-Einstein-Straße 9, 07745, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743, Jena, Germany
- Research Campus Infectognostics Jena E.V, Philosophenweg 7, 07743, Jena, Germany
| | - Petra Rösch
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743, Jena, Germany.
- Research Campus Infectognostics Jena E.V, Philosophenweg 7, 07743, Jena, Germany.
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology Jena (a Member of Leibniz Health Technologies), Albert-Einstein-Straße 9, 07745, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743, Jena, Germany
- Research Campus Infectognostics Jena E.V, Philosophenweg 7, 07743, Jena, Germany
- Jena Biophotonics and Imaging Laboratory, Albert-Einstein-Straße 9, 07745, Jena, Germany
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Zheng L, Shen Y, Dong W, Zheng C, Zhou R, Lou YL. Rapid Detection and Antimicrobial Susceptibility Testing of Pathogens Using AgNPs-Invertase Complexes and the Personal Glucose Meter. Front Bioeng Biotechnol 2022; 9:795415. [PMID: 35118055 PMCID: PMC8804100 DOI: 10.3389/fbioe.2021.795415] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 12/16/2021] [Indexed: 11/13/2022] Open
Abstract
Rapid detection of pathogens and assessment of antimicrobial susceptibility is of great importance for public health, especially in resource-limiting regions. Herein, we developed a rapid, portable, and universal detection method for bacteria using AgNPs-invertase complexes and the personal glucose meter (PGM). In the presence of bacteria, the invertase could be released from AgNPs-invertase complexes where its enzyme activity of invertase was inhibited. Then, the enzyme activity of invertase was restored and could convert sucrose into glucose measured by a commercially PGM. There was a good linear relationship between PGM signal and concentration of E. coli or S. aureus as the bacteria model with high sensitivity. And our proposed biosensor was proved to be a rapid and reliable method for antimicrobial susceptibility testing within 4 h with consistent results of Minimum Inhibitory Concentrations (MICs) testing, providing a portable and convenient method to treat infected patients with correct antibiotics and reduce the production of antibiotic-resistant bacteria, especially for resource-limiting settings.
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Affiliation(s)
- Laibao Zheng
- *Correspondence: Yong-Liang Lou, ; Laibao Zheng,
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Miller LM, Simmons MD, Silver CD, Krauss TF, Thomas GH, Johnson SD, Duhme-Klair AK. Antibiotic-functionalized gold nanoparticles for the detection of active β-lactamases. NANOSCALE ADVANCES 2022; 4:573-581. [PMID: 36132685 PMCID: PMC9419081 DOI: 10.1039/d1na00635e] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 12/02/2021] [Indexed: 06/16/2023]
Abstract
Antimicrobial resistance (AMR) continues to threaten the effective treatment and prevention of bacterial infections. The spread of resistant infections is accelerated by the lack of fast and cost-effective tests for the detection of AMR at the point-of-care. We aimed to address this challenge by developing a diagnostic tool to detect one of the major forms of AMR, the β-lactamase enzymes. Antibiotic-functionalized gold nanoparticles (AuNPs) have been successfully developed for the detection of β-lactamases in challenging biological media, namely undiluted urine. Furthermore, these tools are compatible with samples containing a urine sample preservative (boric acid) or hematuria (blood). The functionalized AuNPs interact with the active β-lactamases, resulting in the hydrolysis of the surface-bound antibiotics, which then inhibits binding of the AuNPs to a capture protein (a penicillin-binding protein) to indicate the presence of active β-lactamases. We successfully integrated the antibiotic-functionalized AuNPs into a new lateral flow assay (LFA), which can be used to detect active β-lactamases down to the detection limit of 11 nM. While we demonstrate the use of antibiotic-functionalized AuNPs in an LFA format to provide a novel method of detecting active β-lactamases, these functionalized AuNPs are amenable to a range of alternative diagnostic technologies and could lead to vital point-of-care diagnostics for the early detection of multi-drug resistant infections.
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Affiliation(s)
- Lisa M Miller
- Department of Chemistry, University of York Heslington York YO10 5DD UK
| | - Matthew D Simmons
- Department of Electronic Engineering, University of York Heslington York YO10 5DD UK
| | - Callum D Silver
- Department of Physics, University of York Heslington York YO10 5DD UK
| | - Thomas F Krauss
- Department of Physics, University of York Heslington York YO10 5DD UK
| | - Gavin H Thomas
- Department of Biology, University of York Heslington York YO10 5DD UK
| | - Steven D Johnson
- Department of Electronic Engineering, University of York Heslington York YO10 5DD UK
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Aguilar-Lopez M, Dinsmoor AM, Ho TTB, Donovan SM. A systematic review of the factors influencing microbial colonization of the preterm infant gut. Gut Microbes 2022; 13:1-33. [PMID: 33818293 PMCID: PMC8023245 DOI: 10.1080/19490976.2021.1884514] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Prematurity coupled with the necessary clinical management of preterm (PT) infants introduces multiple factors that can interfere with microbial colonization. This study aimed to review the perinatal, physiological, pharmacological, dietary, and environmental factors associated with gut microbiota of PT infants. A total of 587 articles were retrieved from a search of multiple databases. Sixty studies were included in the review after removing duplicates and articles that did not meet the inclusion criteria. Review of this literature revealed that evidence converged on the effect of postnatal age, mode of delivery, use of antibiotics, and consumption of human milk in the composition of gut microbiota of PT infants. Less evidence was found for associations with race, sex, use of different fortifiers, macronutrients, and other medications. Future studies with rich metadata are needed to further explore the impact of the PT exposome on the development of the microbiota in this high-risk population.
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Affiliation(s)
- Miriam Aguilar-Lopez
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Andrew M. Dinsmoor
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Thao T. B. Ho
- Department of Pediatrics, Morsani College of Medicine, University of South Florida, Tampa, USA
| | - Sharon M. Donovan
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, USA,Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, USA,CONTACT Sharon M. Donovan Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 339 Bevier Hall 905 S. Goodwin Avenue, Urbana, IL61801, USA
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Sahoo J, De M. Gram-Selective Antibacterial Activity of Mixed-Charge 2D-MoS2. J Mater Chem B 2022; 10:4588-4594. [DOI: 10.1039/d2tb00361a] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Development of nanomaterial-based antibiotics can be the most potent alternative due to the increasing resistance against conventional antibiotics. But one of the important parameters in development of antibacterial agent is...
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Datar R, Orenga S, Pogorelcnik R, Rochas O, Simner PJ, van Belkum A. Recent Advances in Rapid Antimicrobial Susceptibility Testing. Clin Chem 2021; 68:91-98. [DOI: 10.1093/clinchem/hvab207] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 09/17/2021] [Indexed: 12/30/2022]
Abstract
Abstract
Background
Antimicrobial susceptibility testing (AST) is classically performed using growth-based techniques that essentially require viable bacterial matter to become visible to the naked eye or a sophisticated densitometer.
Content
Technologies based on the measurement of bacterial density in suspension have evolved marginally in accuracy and rapidity over the 20th century, but assays expanded for new combinations of bacteria and antimicrobials have been automated, and made amenable to high-throughput turn-around. Over the past 25 years, elevated AST rapidity has been provided by nucleic acid-mediated amplification technologies, proteomic and other “omic” methodologies, and the use of next-generation sequencing. In rare cases, AST at the level of single-cell visualization was developed. This has not yet led to major changes in routine high-throughput clinical microbiological detection of antimicrobial resistance.
Summary
We here present a review of the new generation of methods and describe what is still urgently needed for their implementation in day-to-day management of the treatment of infectious diseases.
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Affiliation(s)
- Rucha Datar
- bioMérieux, Microbiology Research, La Balme Les Grottes, France
| | - Sylvain Orenga
- bioMérieux, Microbiology Research, La Balme Les Grottes, France
| | | | - Olivier Rochas
- bioMérieux, Corporate Business Development, Marcy l'Etoile, France
| | - Patricia J Simner
- Department of Pathology, Bacteriology, Division of Medical Microbiology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alex van Belkum
- bioMérieux, Open Innovation and Partnerships, La Balme Les Grottes, France
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Abstract
Early initiated adequate antibiotic treatment is essential in intensive care. Shortening the length of antibiotic susceptibility testing (AST) can accelerate clinical decision-making. Our objective was to develop a simple flow cytometry (FC)-based AST that produces reliable results within a few hours. We developed a FC-based AST protocol (MICy) and tested it on six different bacteria strains (Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus, Streptococcus pyogenes, Enterococcus faecalis) in Mueller-Hinton and Luria-Bertani broth. We monitored the bacterial growth by FC to define the optimal time of AST. All bacteria were tested against 12 antibiotics and the MIC values were compared to microdilution used as reference method. McNemar and Fleiss' kappa inter-observer tests were performed to analyze the bias between the two methods. Susceptibility profiles of the two methods were also compared. We found that FC is able to detect the bacterial growth after 4-h incubation. The point-by-point comparison of MICy and microdilution resulted in exact match above 87% (2642/3024) of all measurements. The MIC values obtained by MICy and microdilution agreed over 80% (173/216) within ±1 dilution range that gives a substantial inter-observer agreement with weighted Fleiss' kappa. By using the EUCAST clinical breakpoints, we defined susceptibility profiles of MICy that were identical to microdilution in more than 92% (197/213) of the decisions. MICy resulted 8.7% major and 3.2% very major discrepancies. MICy is a new, simple FC-based AST method that produces susceptibility profile with low failure rate a workday earlier than the microdilution method. IMPORTANCE MICy is a new, simple and rapid flow cytometry based antibiotic susceptibility testing (AST) method that produces susceptibility profile a workday earlier than the microdilution method or other classical phenotypic AST methods. Shortening the length of AST can accelerate clinical decision-making as targeted antibiotic treatment improves clinical outcomes and reduces mortality, duration of artificial ventilation, and length of stay in intensive care unit. It can also reduce nursing time and costs and the spreading of antibiotic resistance. In this study, we present the workflow and methodology of MICy and compare the results produced by MICy to microdilution step by step.
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Ye X, Huang Y, Zhou C, Liu X, Zhao W, Zhao X, Xie X, Wang L, Bai Z, Zhou C, Ma L. MSI-1 combats drug-resistant S. aureus by affecting bacterial viability and inhibiting carotenoid pigment production. Microbiol Res 2021; 255:126909. [PMID: 34839171 DOI: 10.1016/j.micres.2021.126909] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 09/20/2021] [Accepted: 10/22/2021] [Indexed: 11/16/2022]
Abstract
Development of novel therapeutic strategies and antibacterial agents against antibiotic-resistant Staphylococcus aureus (S. aureus) is urgent. In this study, antibacterial activities and possible mechanisms of peptide MSI-1 against multiple drug-resistant S. aureus were investigated. Results demonstrated that MSI-1 had potent bacteriostatic activity and bactericidal efficiency against S. aureus, including methicillin-resistant S. aureus (MRSA), vancomycin-intermediate S. aureus (VISA) and vancomycin-resistant S. aureus (VRSA), with minimum inhibitory concentrations (MICs) ranging from 4 to 16 μg/mL and bactericidal times from 2-12 h. MSI-1 exhibited a low incidence of developing resistance and additive effects with vancomycin to overcome MRSA and VRSA. Moreover, MSI-1, even at sub-MIC concentrations, inhibited staphyloxanthin (STX) production of S. aureus. This inhibitory effect was unique and effectively sensitized S. aureus to host immune defense. In terms of its modes of action, MSI-1 disrupted the cell membrane of S. aureus by binding to negatively-charged lipoteichoic acid to exert a direct bactericidal effect. Interestingly, MSI-1 interacted with 4,4'-diapophytoene desaturase (CrtN) of S. aureus via ionic bonds, hydrogen bonds, and Pi-Pi or Pi-alkyl interactions, and alanine substitution of the key amino acids contributed to these interactions weakened this STX production inhibition. Thus, in a MRSA-induced skin infection in mice and MRSA/VRSA-induced systemic infection in Galleria mellonella,MSI-1 alleviated staphylococcal scalded skin syndrome to promote mouse skin wound repair and mitigated staphylococcus infection-induced immune melanization to enhance G. mellonella survival. Collectively, MSI-1 has potent antibacterial activity against drug-resistant S. aureus by affecting bacterial viability and exerting its anti-virulence effects. It can be developed as a new antibacterial agent to resist refractory S. aureus infection.
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Affiliation(s)
- Xinyue Ye
- School of Life Science and Technology, China Pharmaceutical University, 639 Longmian Road, Nanjing, Jiangsu, 211198, China
| | - Ya Huang
- School of Life Science and Technology, China Pharmaceutical University, 639 Longmian Road, Nanjing, Jiangsu, 211198, China
| | - Chenyu Zhou
- School of Life Science and Technology, China Pharmaceutical University, 639 Longmian Road, Nanjing, Jiangsu, 211198, China
| | - Xiaoyun Liu
- School of Life Science and Technology, China Pharmaceutical University, 639 Longmian Road, Nanjing, Jiangsu, 211198, China
| | - Wenxuan Zhao
- School of Life Science and Technology, China Pharmaceutical University, 639 Longmian Road, Nanjing, Jiangsu, 211198, China
| | - Xiurong Zhao
- School of Life Science and Technology, China Pharmaceutical University, 639 Longmian Road, Nanjing, Jiangsu, 211198, China
| | - Xiaolin Xie
- School of Life Science and Technology, China Pharmaceutical University, 639 Longmian Road, Nanjing, Jiangsu, 211198, China
| | - Liping Wang
- School of Life Science and Technology, China Pharmaceutical University, 639 Longmian Road, Nanjing, Jiangsu, 211198, China
| | - Zhaoshi Bai
- Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210009, China.
| | - Changlin Zhou
- School of Life Science and Technology, China Pharmaceutical University, 639 Longmian Road, Nanjing, Jiangsu, 211198, China.
| | - Lingman Ma
- School of Life Science and Technology, China Pharmaceutical University, 639 Longmian Road, Nanjing, Jiangsu, 211198, China.
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Advances in Antimicrobial Resistance Monitoring Using Sensors and Biosensors: A Review. CHEMOSENSORS 2021. [DOI: 10.3390/chemosensors9080232] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The indiscriminate use and mismanagement of antibiotics over the last eight decades have led to one of the main challenges humanity will have to face in the next twenty years in terms of public health and economy, i.e., antimicrobial resistance. One of the key approaches to tackling antimicrobial resistance is clinical, livestock, and environmental surveillance applying methods capable of effectively identifying antimicrobial non-susceptibility as well as genes that promote resistance. Current clinical laboratory practices involve conventional culture-based antibiotic susceptibility testing (AST) methods, taking over 24 h to find out which medication should be prescribed to treat the infection. Although there are techniques that provide rapid resistance detection, it is necessary to have new tools that are easy to operate, are robust, sensitive, specific, and inexpensive. Chemical sensors and biosensors are devices that could have the necessary characteristics for the rapid diagnosis of resistant microorganisms and could provide crucial information on the choice of antibiotic (or other antimicrobial medicines) to be administered. This review provides an overview on novel biosensing strategies for the phenotypic and genotypic determination of antimicrobial resistance and a perspective on the use of these tools in modern health-care and environmental surveillance.
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Jeong Y, Jang H, Kang J, Nam J, Shin K, Kwon S, Choi J. Color-Coded Droplets and Microscopic Image Analysis for Multiplexed Antibiotic Susceptibility Testing. BIOSENSORS-BASEL 2021; 11:bios11080283. [PMID: 34436085 PMCID: PMC8393621 DOI: 10.3390/bios11080283] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 08/16/2021] [Accepted: 08/16/2021] [Indexed: 01/11/2023]
Abstract
Since the discovery of antibiotics, the emergence of antibiotic resistance has become a global issue that is threatening society. In the era of antibiotic resistance, finding the proper antibiotics through antibiotic susceptibility testing (AST) is crucial in clinical settings. However, the current clinical process of AST based on the broth microdilution test has limitations on scalability to expand the number of antibiotics that are tested with various concentrations. Here, we used color-coded droplets to expand the multiplexing of AST regarding the kind and concentration of antibiotics. Color type and density differentiate the kind of antibiotics and concentration, respectively. Microscopic images of a large view field contain numbers of droplets with different testing conditions. Image processing analysis detects each droplet, decodes color codes, and measures the bacterial growth in the droplet. Testing E. coli ATCC 25922 with ampicillin, gentamicin, and tetracycline shows that the system can provide a robust and scalable platform for multiplexed AST. Furthermore, the system can be applied to various drug testing systems, which require several different testing conditions.
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Affiliation(s)
- Yunjin Jeong
- Bio-MAX Institute, Seoul National University, Seoul 08826, Korea;
| | - Haewook Jang
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Korea; (H.J.); (J.K.)
| | - Junwon Kang
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Korea; (H.J.); (J.K.)
- Integrated Major in Innovative Medical Science, Seoul National University, Seoul 03080, Korea
| | - Juhong Nam
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Korea; (J.N.); (K.S.)
| | - Kyoungseob Shin
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Korea; (J.N.); (K.S.)
| | - Sunghoon Kwon
- Bio-MAX Institute, Seoul National University, Seoul 08826, Korea;
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Korea; (H.J.); (J.K.)
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Korea; (J.N.); (K.S.)
- Institute of Entrepreneurial Bio Convergence, Seoul National University, Seoul 08826, Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul 03080, Korea
- Center for Medical Institute, Seoul National University Hospital, Seoul 03080, Korea
- Correspondence: (S.K.); (J.C.)
| | - Jungil Choi
- School of Mechanical Engineering, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, Korea
- Correspondence: (S.K.); (J.C.)
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Liu L, Han Z, An F, Gong X, Zhao C, Zheng W, Mei L, Zhou Q. Aptamer-based biosensors for the diagnosis of sepsis. J Nanobiotechnology 2021; 19:216. [PMID: 34281552 PMCID: PMC8287673 DOI: 10.1186/s12951-021-00959-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 07/09/2021] [Indexed: 12/15/2022] Open
Abstract
Sepsis, the syndrome of infection complicated by acute organ dysfunction, is a serious and growing global problem, which not only leads to enormous economic losses but also becomes one of the leading causes of mortality in the intensive care unit. The detection of sepsis-related pathogens and biomarkers in the early stage plays a critical role in selecting appropriate antibiotics or other drugs, thereby preventing the emergence of dangerous phases and saving human lives. There are numerous demerits in conventional detection strategies, such as high cost, low efficiency, as well as lacking of sensitivity and selectivity. Recently, the aptamer-based biosensor is an emerging strategy for reasonable sepsis diagnosis because of its accessibility, rapidity, and stability. In this review, we first introduce the screening of suitable aptamer. Further, recent advances of aptamer-based biosensors in the detection of bacteria and biomarkers for the diagnosis of sepsis are summarized. Finally, the review proposes a brief forecast of challenges and future directions with highly promising aptamer-based biosensors.
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Affiliation(s)
- Lubin Liu
- Institute for Translational Medicine, Department of Stomatology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, 266003, China
- School of Stomatology, Qingdao University, Qingdao, 266003, China
| | - Zeyu Han
- Institute for Translational Medicine, Department of Stomatology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, 266003, China
- School of Stomatology, Qingdao University, Qingdao, 266003, China
| | - Fei An
- Institute for Translational Medicine, Department of Stomatology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, 266003, China
- School of Stomatology, Qingdao University, Qingdao, 266003, China
| | - Xuening Gong
- Institute for Translational Medicine, Department of Stomatology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, 266003, China
- School of Stomatology, Qingdao University, Qingdao, 266003, China
| | - Chenguang Zhao
- Institute for Translational Medicine, Department of Stomatology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, 266003, China
- School of Stomatology, Qingdao University, Qingdao, 266003, China
| | - Weiping Zheng
- Institute for Translational Medicine, Department of Stomatology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, 266003, China
- School of Stomatology, Qingdao University, Qingdao, 266003, China
| | - Li Mei
- School of Stomatology, Qingdao University, Qingdao, 266003, China
| | - Qihui Zhou
- Institute for Translational Medicine, Department of Stomatology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, 266003, China.
- School of Stomatology, Qingdao University, Qingdao, 266003, China.
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Haddad G, Fontanini A, Bellali S, Takakura T, Ominami Y, Hisada A, Hadjadj L, Rolain JM, Raoult D, Bou Khalil JY. Rapid Detection of Imipenem Resistance in Gram-Negative Bacteria Using Tabletop Scanning Electron Microscopy: A Preliminary Evaluation. Front Microbiol 2021; 12:658322. [PMID: 34220746 PMCID: PMC8245003 DOI: 10.3389/fmicb.2021.658322] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 05/18/2021] [Indexed: 12/29/2022] Open
Abstract
Background: Enabling faster Antimicrobial Susceptibility Testing (AST) is critical, especially to detect antibiotic resistance, to provide rapid and appropriate therapy and to improve clinical outcomes. Although several standard and automated culture-based methods are available and widely used, these techniques take between 18 and 24 h to provide robust results. Faster techniques are needed to reduce the delay between test and results. Methods: Here we present a high throughput AST method using a new generation of tabletop scanning electron microscope, to evaluate bacterial ultra-structural modifications associated with susceptibilities to imipenem as a proof of concept. A total of 71 reference and clinical strains of Gram-negative bacteria were used to evaluate susceptibility toward imipenem after 30, 60, and 90 min of incubation. The length, width and electron density of bacteria were measured and compared between imipenem susceptible and resistant strains. Results: We correlated the presence of these morphological changes to the bacterial susceptibility and their absence to the bacterial resistance (e.g., Pseudomonas aeruginosa length without [2.24 ± 0.61 μm] and with [2.50 ± 0.68 μm] imipenem after 30 min [p = 3.032E-15]; Escherichia coli width without [0.92 ± 0.07 μm] and with [1.28 ± 0.19 μm] imipenem after 60 min [p = 1.242E-103]). We validated our method by a blind test on a series of 58 clinical isolates where all strains were correctly classified as susceptible or resistant toward imipenem. Conclusion: This method could be a potential tool for rapidly identifying carbapenem-resistance in Enterobacterales in clinical microbiology laboratories in <2 h, allowing the empirical treatment of patients to be rapidly adjusted.
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Affiliation(s)
- Gabriel Haddad
- Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France.,Aix-Marseille Université, Institut de Recherche pour le Développement (IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
| | - Anthony Fontanini
- Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France
| | - Sara Bellali
- Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France
| | - Tatsuki Takakura
- Hitachi High-Tech Corporation, Analytical & Medical Solution Business Group, Ibaraki, Japan
| | - Yusuke Ominami
- Hitachi High-Tech Corporation, Nanotechnology Solutions Business Group, Toranomon Hills Business Tower, Tokyo, Japan
| | - Akiko Hisada
- Hitachi, Ltd., Research & Development Group, Tokyo, Japan
| | - Linda Hadjadj
- Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France
| | - Jean-Marc Rolain
- Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France.,Aix-Marseille Université, Institut de Recherche pour le Développement (IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
| | - Didier Raoult
- Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France.,Aix-Marseille Université, Institut de Recherche pour le Développement (IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France.,Hitachi High-Tech Corporation, Nanotechnology Solutions Business Group, Toranomon Hills Business Tower, Tokyo, Japan
| | - Jacques Yaacoub Bou Khalil
- Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France.,Aix-Marseille Université, Institut de Recherche pour le Développement (IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
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48
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Gholap S, Yao C, Green O, Babjak M, Jakubec P, Malatinský T, Ihssen J, Wick L, Spitz U, Shabat D. Chemiluminescence Detection of Hydrogen Sulfide Release by β-Lactamase-Catalyzed β-Lactam Biodegradation: Unprecedented Pathway for Monitoring β-Lactam Antibiotic Bacterial Resistance. Bioconjug Chem 2021; 32:991-1000. [PMID: 33896185 PMCID: PMC8382227 DOI: 10.1021/acs.bioconjchem.1c00149] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/12/2021] [Indexed: 12/20/2022]
Abstract
β-Lactamase positive bacteria represent a growing threat to human health because of their resistance to commonly used antibiotics. Therefore, development of new diagnostic methods for identification of β-lactamase positive bacteria is of high importance for monitoring the spread of antibiotic-resistant bacteria. Here, we report the discovery of a new biodegradation metabolite (H2S), generated through β-lactamase-catalyzed hydrolysis of β-lactam antibiotics. This discovery directed us to develop a distinct molecular technique for monitoring bacterial antibiotic resistance. The technique is based on a highly efficient chemiluminescence probe, designed for detection of the metabolite, hydrogen sulfide, that is released upon biodegradation of β-lactam by β-lactamases. Such an assay can directly indicate if antibiotic bacterial resistance exists for a certain examined β-lactam. The assay was successfully demonstrated for five different β-lactam antibiotics and eight β-lactam resistant bacterial strains. Importantly, in a functional bacterial assay, our chemiluminescence probe was able to clearly distinguish between a β-lactam resistant bacterial strain and a sensitive one. As far as we know, there is no previous documentation for such a biodegradation pathway of β-lactam antibiotics. Bearing in mind the data obtained in this study, we propose that hydrogen sulfide should be considered as an emerging β-lactam metabolite for detection of bacterial resistance.
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Affiliation(s)
- Sachin
Popat Gholap
- School
of Chemistry, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978 Israel
| | - Chunyan Yao
- Biosynth
Carbosynth, Rietlistrasse
4 Postfach 125 9422 Staad, Switzerland
| | - Ori Green
- School
of Chemistry, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978 Israel
| | - Matej Babjak
- Department
of Organic Chemistry, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinského 9, 81237 Bratislava, Slovakia
| | - Pavol Jakubec
- Auchem
s.r.o., A. Hlinku 1452/3, 022 01 Čadca, Slovakia
| | | | - Julian Ihssen
- Biosynth
Carbosynth, Rietlistrasse
4 Postfach 125 9422 Staad, Switzerland
| | - Lukas Wick
- Biosynth
Carbosynth, Rietlistrasse
4 Postfach 125 9422 Staad, Switzerland
| | - Urs Spitz
- Biosynth
Carbosynth, Rietlistrasse
4 Postfach 125 9422 Staad, Switzerland
| | - Doron Shabat
- School
of Chemistry, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978 Israel
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49
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Rapid antimicrobial susceptibility testing by stimulated Raman scattering metabolic imaging and morphological deformation of bacteria. Anal Chim Acta 2021; 1168:338622. [PMID: 34051990 DOI: 10.1016/j.aca.2021.338622] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 04/16/2021] [Accepted: 05/03/2021] [Indexed: 12/19/2022]
Abstract
Methods for rapid antimicrobial susceptibility testing (AST) are urgently needed to address the emergence and spread of antimicrobial resistance. Here, we report a new method based on stimulated Raman scattering (SRS) microscopy, which measures both the metabolic activity and the morphological deformation of bacteria to determine the antimicrobial susceptibility of β-lactam antibiotics rapidly. In this approach, we quantify single bacteria's metabolic activity by the carbon-deuterium (C-D) bond concentrations in bacteria after D2O incubation. In the meantime, bacterial morphological deformation caused by β-lactam antibiotics is also measured. With these two quantifiable markers, we develop an evaluation method to perform AST of cefotaxime on 103 E. coli strains. Our method achieved a 93.2% categorical agreement and a 93.2% essential agreement with the standard reference method.
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50
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Robertson J, McGoverin C, White JR, Vanholsbeeck F, Swift S. Rapid Detection of Escherichia coli Antibiotic Susceptibility Using Live/Dead Spectrometry for Lytic Agents. Microorganisms 2021; 9:924. [PMID: 33925816 PMCID: PMC8147107 DOI: 10.3390/microorganisms9050924] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 04/21/2021] [Accepted: 04/22/2021] [Indexed: 02/06/2023] Open
Abstract
Antibiotic resistance is a serious threat to public health. The empiric use of the wrong antibiotic occurs due to urgency in treatment combined with slow, culture-based diagnostic techniques. Inappropriate antibiotic choice can promote the development of antibiotic resistance. We investigated live/dead spectrometry using a fluorimeter (Optrode) as a rapid alternative to culture-based techniques through application of the LIVE/DEAD® BacLightTM Bacterial Viability Kit. Killing was detected by the Optrode in near real-time when Escherichia coli was treated with lytic antibiotics-ampicillin and polymyxin B-and stained with SYTO 9 and/or propidium iodide. Antibiotic concentration, bacterial growth phase, and treatment time used affected the efficacy of this detection method. Quantification methods of the lethal action and inhibitory action of the non-lytic antibiotics, ciprofloxacin and chloramphenicol, respectively, remain to be elucidated.
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Affiliation(s)
- Julia Robertson
- Department of Molecular Medicine and Pathology, The University of Auckland, Auckland 1023, New Zealand; (J.R.W.); (S.S.)
- The Dodd-Walls Centre for Photonic and Quantum Technologies, Auckland 1010, New Zealand; (C.M.); (F.V.)
| | - Cushla McGoverin
- The Dodd-Walls Centre for Photonic and Quantum Technologies, Auckland 1010, New Zealand; (C.M.); (F.V.)
- Department of Physics, The University of Auckland, Auckland 1010, New Zealand
| | - Joni R. White
- Department of Molecular Medicine and Pathology, The University of Auckland, Auckland 1023, New Zealand; (J.R.W.); (S.S.)
- The Dodd-Walls Centre for Photonic and Quantum Technologies, Auckland 1010, New Zealand; (C.M.); (F.V.)
| | - Frédérique Vanholsbeeck
- The Dodd-Walls Centre for Photonic and Quantum Technologies, Auckland 1010, New Zealand; (C.M.); (F.V.)
- Department of Physics, The University of Auckland, Auckland 1010, New Zealand
| | - Simon Swift
- Department of Molecular Medicine and Pathology, The University of Auckland, Auckland 1023, New Zealand; (J.R.W.); (S.S.)
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