Unraveling Antimicrobial Susceptibility of Bacterial Networks on Micropillar Architectures Using Intrinsic Phase-Shift Spectroscopy.

With global antimicrobial resistance becoming increasingly detrimental to society, improving current clinical antimicrobial susceptibility testing (AST) is crucial to allow physicians to initiate appropriate antibiotic treatment as early as possible, reducing not only mortality rates but also the emergence of resistant pathogens. In this work, we tackle the main bottlenecks in clinical AST by designing biofunctionalized silicon micropillar arrays to provide both a preferable solid-liquid interface for bacteria networking and a simultaneous transducing element that monitors the response of bacteria when exposed to chosen antibiotics in real time. We harness the intrinsic ability of the micropillar architectures to relay optical phase-shift reflectometric interference spectroscopic measurements (referred to as PRISM) and employ it as a platform for culture-free, label-free phenotypic AST. The responses of E. coli to various concentrations of five clinically relevant antibiotics are optically tracked by PRISM, allowing for the minimum inhibitory concentration (MIC) values to be determined and compared to both standard broth microdilution testing and clinic-based automated AST system readouts. Capture of bacteria within these microtopologies, followed by incubation of the cells with the appropriate antibiotic solution, yields rapid determinations of antibiotic susceptibility. This platform not only provides accurate MIC determinations in a rapid manner (total assay time of 2-3 h versus 8 h with automated AST systems) but can also be employed as an advantageous method to differentiate bacteriostatic and bactericidal antibiotics.

[1]  Timothy R. Walsh,et al.  Tackling antibiotic resistance , 2011, Nature Reviews Microbiology.

[2]  Michael J Sailor,et al.  The smart Petri dish: a nanostructured photonic crystal for real-time monitoring of living cells. , 2006, Langmuir : the ACS journal of surfaces and colloids.

[3]  Xinyan Zhao,et al.  Rapid identification and susceptibility testing of uropathogenic microbes via immunosorbent ATP-bioluminescence assay on a microfluidic simulator for antibiotic therapy. , 2015, Analytical chemistry.

[4]  Diarmaid Hughes,et al.  Antibiotic resistance and its cost: is it possible to reverse resistance? , 2010, Nature Reviews Microbiology.

[5]  V. Vogel,et al.  Bacterial filamentation accelerates colonization of adhesive spots embedded in biopassive surfaces , 2013 .

[6]  R. Eng,et al.  Inoculum effect of beta-lactam antibiotics on Enterobacteriaceae , 1985, Antimicrobial Agents and Chemotherapy.

[7]  S. Jankowski,et al.  Effects of subinhibitory concentrations of amikacin and ciprofloxacin on the hydrophobicity and adherence to epithelial cells of uropathogenic Escherichia coli strains. , 2007, International journal of antimicrobial agents.

[8]  Petra F. G. Wolffs,et al.  Dissemination of Antimicrobial Resistance in Microbial Ecosystems through Horizontal Gene Transfer , 2016, Front. Microbiol..

[9]  C. Lascols,et al.  Rapid Antimicrobial Susceptibility Testing of Bacillus anthracis, Yersinia pestis, and Burkholderia pseudomallei by Use of Laser Light Scattering Technology , 2016, Journal of Clinical Microbiology.

[10]  Sijie Chen,et al.  A Luminogen with Aggregation‐Induced Emission Characteristics for Wash‐Free Bacterial Imaging, High‐Throughput Antibiotics Screening and Bacterial Susceptibility Evaluation , 2015, Advanced materials.

[11]  Xiangqun Zeng,et al.  Antimicrobial susceptibility assays based on the quantification of bacterial lipopolysaccharides via a label free lectin biosensor. , 2015, Analytical chemistry.

[12]  F. Baquero,et al.  Antibiotics as intermicrobial signaling agents instead of weapons , 2006, Proceedings of the National Academy of Sciences.

[13]  R. Kishony,et al.  Antibiotic interactions that select against resistance , 2007, Nature.

[14]  O. Hunderi,et al.  Effective medium models for the optical properties of inhomogeneous materials. , 1981, Applied optics.

[15]  F. Gu,et al.  Bacterial Networks on Hydrophobic Micropillars. , 2017, ACS nano.

[16]  M. Monsigny,et al.  Sugar-lectin interactions: how does wheat-germ agglutinin bind sialoglycoconjugates? , 1980, European journal of biochemistry.

[17]  J. Tenney,et al.  Adherence to uroepithelial cells of Providencia stuartii isolated from the catheterized urinary tract. , 1986, Journal of general microbiology.

[18]  Yunze Yang,et al.  Antimicrobial Susceptibility Test with Plasmonic Imaging and Tracking of Single Bacterial Motions on Nanometer Scale. , 2016, ACS nano.

[19]  J. Davies,et al.  The truth about antibiotics. , 2006, International journal of medical microbiology : IJMM.

[20]  Jean-Marc Rolain,et al.  Real-time video imaging as a new and rapid tool for antibiotic susceptibility testing by the disc diffusion method: a paradigm for evaluating resistance to imipenem and identifying extended-spectrum β-lactamases. , 2015, International Journal of Antimicrobial Agents.

[21]  Y. Leng,et al.  Bacterial responses to periodic micropillar array. , 2015, Journal of biomedical materials research. Part A.

[22]  Kangning Ren,et al.  Cell-on-hydrogel platform made of agar and alginate for rapid, low-cost, multidimensional test of antimicrobial susceptibility. , 2016, Lab on a chip.

[23]  Tom Olesen,et al.  Real-Time Optical Antimicrobial Susceptibility Testing , 2013, Journal of Clinical Microbiology.

[24]  Scott J. Hultgren,et al.  Morphological plasticity as a bacterial survival strategy , 2008, Nature Reviews Microbiology.

[25]  Ye Fang,et al.  Resonant waveguide grating biosensor for living cell sensing. , 2006, Biophysical journal.

[26]  T. Honda,et al.  Effect of subinhibitory concentrations of antimicrobial agents (quinolones and macrolide) on the production of verotoxin by enterohemorrhagic Escherichia coli O157:H7. , 1999, Canadian journal of microbiology.

[27]  Jingqing Liu,et al.  Rapid antibiotic susceptibility testing in a microfluidic pH sensor. , 2013, Analytical chemistry.

[28]  Robert J. Clifford,et al.  Escherichia coli Harboring mcr-1 and blaCTX-M on a Novel IncF Plasmid: First Report of mcr-1 in the United States , 2016, Antimicrobial Agents and Chemotherapy.

[29]  Lisa M. Bonanno,et al.  Optical biosensing of bacteria and cells using porous silicon based, photonic lamellar gratings , 2013 .

[30]  John Strong,et al.  Lamellar Grating Far-Infrared Interferomer , 1960 .

[31]  H. Chuang,et al.  Rapid Bead-Based Antimicrobial Susceptibility Testing by Optical Diffusometry , 2016, PloS one.

[32]  R. Kaas,et al.  Detection of mcr-1 encoding plasmid-mediated colistin-resistant Escherichia coli isolates from human bloodstream infection and imported chicken meat, Denmark 2015. , 2015, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[33]  S. Pounds,et al.  Rapid Antimicrobial Susceptibility Testing Using Forward Laser Light Scatter Technology , 2016, Journal of Clinical Microbiology.

[34]  Jianzhong Shen,et al.  Emergence of plasmid-mediated colistin resistance mechanism MCR-1 in animals and human beings in China: a microbiological and molecular biological study. , 2015, The Lancet. Infectious diseases.

[35]  A. Sa’ar,et al.  Trap and track: designing self-reporting porous Si photonic crystals for rapid bacteria detection. , 2014, The Analyst.

[36]  E. Segal,et al.  Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry , 2016, Scientific Reports.

[37]  R. Donlan Biofilm formation: a clinically relevant microbiological process. , 2001, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[38]  John E. Sipe,et al.  Porous silicon structures for low-cost diffraction-based biosensing , 2010 .

[39]  V. Nizet,et al.  Bacterial Cytological Profiling (BCP) as a Rapid and Accurate Antimicrobial Susceptibility Testing Method for Staphylococcus aureus , 2016, EBioMedicine.

[40]  Joanna Aizenberg,et al.  Bacteria pattern spontaneously on periodic nanostructure arrays. , 2010, Nano letters.

[41]  P. Vandamme,et al.  Antimicrobial susceptibility of rapidly growing mycobacteria using the rapid colorimetric method , 2015, European Journal of Clinical Microbiology & Infectious Diseases.

[42]  Philseok Kim,et al.  Control of bacterial biofilm growth on surfaces by nanostructural mechanics and geometry , 2011, Nanotechnology.

[43]  N. Low,et al.  Multiplex Real-Time PCR Assay with High-Resolution Melting Analysis for Characterization of Antimicrobial Resistance in Neisseria gonorrhoeae , 2016, Journal of Clinical Microbiology.

[44]  Ester Segal,et al.  Oxidized Porous Silicon Nanostructures Enabling Electrokinetic Transport for Enhanced DNA Detection , 2015 .

[45]  G. Gauglitz,et al.  Label-free characterization of cell adhesion using reflectometric interference spectroscopy (RIfS) , 2005, Analytical and bioanalytical chemistry.

[46]  Michael J. Sailor,et al.  Using a porous silicon photonic crystal for bacterial cell‐based biosensing , 2007 .

[47]  R. Dickson,et al.  Rapid Cytometric Antibiotic Susceptibility Testing Utilizing Adaptive Multidimensional Statistical Metrics , 2014, Analytical chemistry.

[48]  C. L. Ventola The antibiotic resistance crisis: part 1: causes and threats. , 2015, P & T : a peer-reviewed journal for formulary management.

[49]  T. Thundat,et al.  Microfluidic cantilever detects bacteria and measures their susceptibility to antibiotics in small confined volumes , 2016, Nature Communications.

[50]  R. Lotan,et al.  Interaction of wheat-germ agglutinin with bacterial cells and cell-wall polymers. , 1975, European journal of biochemistry.

[51]  P. Braga,et al.  Cefodizime: effects of sub-inhibitory concentrations on adhesiveness and bacterial morphology of Staphylococcus aureus and Escherichia coli: comparison with cefotaxime and ceftriaxone. , 1997, The Journal of antimicrobial chemotherapy.

[52]  Chi-Hung Lin,et al.  Rapid bacterial antibiotic susceptibility test based on simple surface-enhanced Raman spectroscopic biomarkers , 2016, Scientific Reports.

[53]  Ester Segal,et al.  Construction and Characterization of Porous SiO2/Hydrogel Hybrids as Optical Biosensors for Rapid Detection of Bacteria , 2010 .

[54]  H. Craighead,et al.  Diffraction-based cell detection using a microcontact printed antibody grating. , 1998, Analytical chemistry.

[55]  T. Sondergaard,et al.  Rapid antimicrobial susceptibility testing of clinical isolates by digital time-lapse microscopy , 2015, European Journal of Clinical Microbiology & Infectious Diseases.

[56]  Erik Spillum,et al.  Automated image analysis for quantification of filamentous bacteria , 2015, BMC Microbiology.

[57]  S. Schnell,et al.  The importance of growth kinetic analysis in determining bacterial susceptibility against antibiotics and silver nanoparticles , 2014, Front. Microbiol..

[58]  X. Lv,et al.  Angle-resolved diffraction grating biosensor based on porous silicon , 2016 .

[59]  Wilfried Noell,et al.  Miniature lamellar grating interferometer based on silicon technology. , 2004, Optics letters.

[60]  Ester Segal,et al.  Online analysis of protein inclusion bodies produced in E. coli by monitoring alterations in scattered and reflected light , 2016, Applied Microbiology and Biotechnology.

[61]  E. Calabrese Getting the dose–response wrong: why hormesis became marginalized and the threshold model accepted , 2009, Archives of Toxicology.

[62]  W. Bai,et al.  A double-imprinted diffraction-grating sensor based on a virus-responsive super-aptamer hydrogel derived from an impure extract. , 2014, Angewandte Chemie.

[63]  Alex van Belkum,et al.  Next-Generation Antimicrobial Susceptibility Testing , 2013, Journal of Clinical Microbiology.

[64]  L. Hoang,et al.  mcr-1–Positive Colistin-Resistant Escherichia coli in Traveler Returning to Canada from China , 2016, Emerging infectious diseases.

[65]  Francisco Feijó Delgado,et al.  High-throughput measurement of single-cell growth rates using serial microfluidic mass sensor arrays , 2016, Nature Biotechnology.

[66]  Bala Hota,et al.  Hospital and societal costs of antimicrobial-resistant infections in a Chicago teaching hospital: implications for antibiotic stewardship. , 2009, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[67]  R. Ismagilov,et al.  Digital Quantification of DNA Replication and Chromosome Segregation Enables Determination of Antimicrobial Susceptibility after only 15 Minutes of Antibiotic Exposure. , 2016, Angewandte Chemie.

[68]  Edward J Calabrese,et al.  Hormesis: a revolution in toxicology, risk assessment and medicine , 2004, EMBO reports.

[69]  P. Ashton,et al.  Detection of the plasmid-mediated mcr-1 gene conferring colistin resistance in human and food isolates of Salmonella enterica and Escherichia coli in England and Wales. , 2016, The Journal of antimicrobial chemotherapy.

[70]  M. Ferraro,et al.  Antimicrobial susceptibility testing: a review of general principles and contemporary practices. , 2009, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.