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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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Antimicrobial Resistance in Urinary Tract Infections. CURRENT BLADDER DYSFUNCTION REPORTS 2023. [DOI: 10.1007/s11884-022-00674-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
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Kothari A, Kumar SK, Singh V, Kumar P, Kaushal K, Pandey A, Jain N, Omar BJ. Association of multidrug resistance behavior of clinical Pseudomonas aeruginosa to pigment coloration. Eur J Med Res 2022; 27:120. [PMID: 35842687 PMCID: PMC9288039 DOI: 10.1186/s40001-022-00752-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/24/2022] [Indexed: 11/11/2022] Open
Abstract
Pseudomonas aeruginosa is an adaptable bacterial pathogen that infects a variety of organs, including the respiratory tract, vascular system, urinary tract, and central nervous system, causing significant morbidity and mortality. As the primary goal of this study, we wanted to determine how pigment color production differed between clinical strains of P. aeruginosa, and whether or not that variation was associated with multidrug resistance or the ability to form biofilms. We screened in total 30.1% of yellow, 39.8% green and 30.1% of no pigment-producing P. aeruginosa strains from a total of 143 various clinical isolates. Yellow pigment-producing strains presented significant resistance to antibiotics groups, including β-lactam (91.5%), aminoglycosides (70.5%), and carbapenems (51.9%) compared to green and non-pigmented strains. Notably, 16.3% of yellow pigment-producing strains were resistant to colistin which is used as a last-resort treatment for multidrug-resistant bacteria, whereas only 2.3% of non-pigmented and 1.8% of green pigmented strains were resistant to colistin. Aside from that, yellow pigment-producing strains were frequent producers of enzymes belonging to the lactamase family, including ESBL (55.6%), MBL (55.6%), and AmpC (50%). Compared to the green groups (7.14%) and non-pigmented groups (28.5%), they had a higher frequency of efflux positive groups (64.2%). Notably, when compared to non-pigmented groups, green pigment-producing strains also displayed antibiotic susceptibility behavior similar to yellow pigment-producing strains. The majority of yellow pigment-producing strains outperformed the green and non-pigmented strains in terms of MIC levels when compared to the other two groups of strains. Despite the fact that previous studies have demonstrated a direct correlation between multidrug resistance behaviors and biofilm production, no such statistically significant association between pigment and biofilm formation was found in our investigation. Our research has demonstrated that the correlation of bacterial pigments on their susceptibility to antimicrobial agents. Yellow pigment-producing P. aeruginosa strains posed a significant problem due to the lack of alternative agents against such transformed strains, which may be associated with the development of multidrug resistance.
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Affiliation(s)
- Ashish Kothari
- Department of Microbiology, All India Institute of Medical Sciences, Rishikesh, 249203, India
| | - Shyam Kishor Kumar
- Department of Microbiology, All India Institute of Medical Sciences, Deoghar, 814152, India
| | - Vanya Singh
- Department of Microbiology, All India Institute of Medical Sciences, Rishikesh, 249203, India
| | - Prashant Kumar
- Department of Biochemistry, All India Institute of Medical Sciences, Rishikesh, 249203, India
| | - Karanvir Kaushal
- Department of Biochemistry, All India Institute of Medical Sciences, Rishikesh, 249203, India
| | - Atul Pandey
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Neeraj Jain
- Department of Medical Oncology, All India Institute of Medical Sciences, Rishikesh, 249203, India. .,Division of Cancer Biology, Central Drug Research Institute, Lucknow, 226031, India.
| | - Balram Ji Omar
- Department of Microbiology, All India Institute of Medical Sciences, Rishikesh, 249203, India.
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Espinoza EM, Røise JJ, He M, Li IC, Agatep AK, Udenyi P, Han H, Jackson N, Kerr DL, Chen D, Stentzel MR, Ruan E, Riley L, Murthy N. A self-immolative linker that releases thiols detects penicillin amidase and nitroreductase with high sensitivity via absorption spectroscopy. Chem Commun (Camb) 2022; 58:3166-3169. [PMID: 35170593 PMCID: PMC9097719 DOI: 10.1039/d1cc05322a] [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] [Indexed: 11/21/2022]
Abstract
This article reports the synthesis and characterization of a novel self-immolative linker, based on thiocarbonates, which releases a free thiol upon activation via enzymes. We demonstrate that thiocarbonate self-immolative linkers can be used to detect the enzymes penicillin G amidase (PGA) and nitroreductase (NTR) with high sensitivity using absorption spectroscopy. Paired with modern thiol amplification technology, the detection of PGA and NTR were achieved at concentrations of 160 nM and 52 nM respectively. In addition, the PGA probe was shown to be compatible with both biological thiols and enzymes present in cell lysates.
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Affiliation(s)
- Eli M Espinoza
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - Joachim J Røise
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
- Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Maomao He
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - I-Che Li
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - Alvin K Agatep
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - Patrick Udenyi
- Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Hesong Han
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - Nicole Jackson
- School of Public Health, Division of Infectious Diseases and Vaccinology, University of California Berkeley, Berkeley, CA, USA.
| | - D Lucas Kerr
- Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Dake Chen
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - Michael R Stentzel
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - Emily Ruan
- Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Lee Riley
- School of Public Health, Division of Infectious Diseases and Vaccinology, University of California Berkeley, Berkeley, CA, USA.
| | - Niren Murthy
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
- Innovative Genomics Institute (IGI), 2151 Berkeley Way, Berkeley, CA, 94704, USA
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Application of a solid-phase microextraction-gas chromatography-mass spectrometry/metal oxide sensor system for detection of antibiotic susceptibility in urinary tract infection-causing Escherichia coli - A proof of principle study. Adv Med Sci 2022; 67:1-9. [PMID: 34562855 DOI: 10.1016/j.advms.2021.09.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/29/2021] [Accepted: 09/03/2021] [Indexed: 11/21/2022]
Abstract
PURPOSE Antibiotic resistance is widespread throughout the world and represents a serious health concern. There is an urgent need for the development of novel tools for rapidly distinguishing antibiotic resistant bacteria from susceptible strains. Previous work has demonstrated that differences in antimicrobial susceptibility can be reflected in differences in the profile of volatile organic compounds (VOCs) produced by dissimilar strains. The aim of this study was to investigate the effect of the presence of cephalosporin antibiotics on the VOC profile of extended spectrum beta-lactamase (ESBL) and non-ESBL producing strains of Escherichia coli. MATERIAL AND METHODS In this study, VOCs from strains of Escherichia coli positive and negative for the most commonly encountered ESBL, CTX-M in the presence of cephalosporin antibiotics were assessed using solid-phase microextraction (SPME) coupled with a combined gas chromatography-mass spectrometry/metal oxide sensor (GC-MS/MOS) system. RESULTS Our proof-of-concept study allowed for distinguishing CTX-M positive and negative bacteria within 2 h after the addition of antibiotics. One MOS signal (RT: 22.6) showed a statistically significant three-way interaction (p = 0.033) in addition to significant two-way interactions for culture and additive (p = 0.046) plus time and additive (p = 0.020). There were also significant effects observed for time (p = 0.009), culture (p = 0.030) and additive (p = 0.028). No effects were observed in the MS data. CONCLUSIONS The results of our study showed the potential of VOC analysis using SPME combined with a GC-MS/MOS system for the early detection of CTX-M-producing, antibiotic-resistant E. coli, responsible for urinary tract infections (UTIs).
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Muir RK, Guerra M, Bogyo MM. Activity-Based Diagnostics: Recent Advances in the Development of Probes for Use with Diverse Detection Modalities. ACS Chem Biol 2022; 17:281-291. [PMID: 35026106 DOI: 10.1021/acschembio.1c00753] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Abnormal enzyme expression and activity is a hallmark of many diseases. Activity-based diagnostics are a class of chemical probes that aim to leverage this dysregulated metabolic signature to produce a detectable signal specific to diseased tissue. In this Review, we highlight recent methodologies employed in activity-based diagnostics that provide exquisite signal sensitivity and specificity in complex biological systems for multiple disease states. We divide these examples based upon their unique signal readout modalities and highlight those that have advanced into clinical trials.
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Affiliation(s)
- Ryan K. Muir
- Department of Pathology and Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Matteo Guerra
- Department of Pathology and Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Matthew M. Bogyo
- Department of Pathology and Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California 94305, United States
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