Microfluidics for Combating Antimicrobial Resistance

Trends in Biotechnology

Volumn 35, Issue 12, 2017, Pages 1129-1139

  Liu, Zhengzhi ^a   Banaei, Niaz ^b   Ren, Kangning ^a,b  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^b STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

antimicrobial resistance; antimicrobial susceptibility testing; drug discovery; microfluidics

Indexed keywords

ANTIBIOTICS; CONTROLLED DRUG DELIVERY; MICROORGANISMS;

ANTIMICROBIAL RESISTANCES; ANTIMICROBIAL SUSCEPTIBILITY TESTING; BACTERIAL INFECTIONS; DRUG DISCOVERY; INNOVATIVE SOLUTIONS; LOCAL ENVIRONMENTS; OVERCOMING OBSTACLES; RESEARCH OUTPUTS;

MICROFLUIDICS;

AMINOGLYCOSIDE; MACROLIDE; PENICILLIN DERIVATIVE; QUINOLONE; TETRACYCLINE; ANTIINFECTIVE AGENT;

ANTIBIOTIC RESISTANCE; ANTIBIOTIC SENSITIVITY; BACTERIAL GROWTH; COST BENEFIT ANALYSIS; COST EFFECTIVENESS ANALYSIS; DISK DIFFUSION; DRUG EFFECT; FATALITY; HIGH THROUGHPUT SCREENING; HUMAN; INFECTION RISK; MICROFLUIDICS; MINIMUM INHIBITORY CONCENTRATION; NONHUMAN; PRESCRIPTION; PRIORITY JOURNAL; REVIEW; ANIMAL; BACTERIAL INFECTION; BACTERIUM; BIOLOGICAL MODEL; CHEMISTRY; CYTOLOGY; ISOLATION AND PURIFICATION; MEDICAL RESEARCH; MICROBIOLOGICAL EXAMINATION; MICROBIOLOGY; MICROFLUIDIC ANALYSIS;

ANIMALS; ANTI-BACTERIAL AGENTS; BACTERIA; BACTERIAL INFECTIONS; BACTERIOLOGICAL TECHNIQUES; BIOMEDICAL RESEARCH; DRUG RESISTANCE, BACTERIAL; HUMANS; MICROFLUIDIC ANALYTICAL TECHNIQUES; MODELS, BIOLOGICAL;

EID: 85033670876     PISSN: 01677799     EISSN: 18793096     Source Type: Journal    
DOI: 10.1016/j.tibtech.2017.07.008     Document Type: Review

References (63)

1. Van Boeckel, T.P., et al. Global antibiotic consumption 2000 to 2010: an analysis of national pharmaceutical sales data. Lancet Infect. Dis. 14 (2014), 742–750.
2. Van Boeckel, T.P., et al. Global trends in antimicrobial use in food animals. Proc. Natl. Acad. Sci. U. S. A. 112 (2015), 5649–5654.
3. Center for Disease Dynamics, Economics & Policy, State of the World's Antibiotics, 2015. 2015, Center for Disease Dynamics, Economics & Policy Published online 2015. https://issuu.com/cddep/docs/swa_2015_final/10.
4. O'Neill, J. Tackling drug-resistant infections globally: final report and recommendations. Published online May 2016. https://amr-review.org/sites/default/files/160518_Final%20paper_with%20cover.pdf.
5. Aarestrup, F., Sustainable farming: get pigs off antibiotics. Nature 486 (2012), 465–466.
6. Marshall, B.M., Levy, S.B., Food animals and antimicrobials: impacts on human health. Clin. Microbiol. Rev. 24 (2011), 718–733.
7. Lewis, K., Platforms for antibiotic discovery. Nat. Rev. Drug Discov. 12 (2013), 371–387.
8. Levy, S.B., Marshall, B., Antibacterial resistance worldwide: causes, challenges and responses. Nat. Med. 10 (2004), S122–S129.
9. Smith, R., Coast, J., The true cost of antimicrobial resistance. BMJ, 346, 2013, f1493.
10. Barriere, S.L., Clinical, economic and societal impact of antibiotic resistance. Expert Opin. Pharmacother. 16 (2015), 151–153.
11. Whitesides, G.M., The origins and the future of microfluidics. Nature 442 (2006), 368–373.
12. Weibel, D.B., Whitesides, G.M., Applications of microfluidics in chemical biology. Curr. Opin. Chem. Biol. 10 (2006), 584–591.
13. Sackmann, E.K., et al. The present and future role of microfluidics in biomedical research. Nature 507 (2014), 181–189.
14. Tabeling, P., Recent progress in the physics of microfluidics and related biotechnological applications. Curr. Opin. Biotechnol. 25 (2014), 129–134.
15. Nge, P.N., et al. Advances in microfluidic materials, functions, integration, and applications. Chem. Rev. 113 (2013), 2550–2583.
16. Wu, F., Dekker, C., Nanofabricated structures and microfluidic devices for bacteria: from techniques to biology. Chem. Soc. Rev. 1 (2015), 268–280.
17. Hol, F.J., Dekker, C., Zooming in to see the bigger picture: microfluidic and nanofabrication tools to study bacteria. Science, 346, 2014 1251821.
18. Aldridge, B.B., et al. Asymmetry and aging of mycobacterial cells lead to variable growth and antibiotic susceptibility. Science 529 (2011), 100–104.
19. Gefen, O., et al. Single-cell protein induction dynamics reveals a period of vulnerability to antibiotics in persister bacteria. Proc. Natl. Acad. Sci. U. S. A. 105 (2008), 6145–6149.
20. Gefen, O., et al. Direct observation of single stationary-phase bacteria reveals a surprisingly long period of constant protein production activity. Proc. Natl. Acad. Sci. U. S. A. 111 (2014), 556–561.
21. Jang, S.S., et al. On-chip analysis, indexing and screening for chemical producing bacteria in microfluidic static droplet array. Lab Chip 16 (2016), 1909–1916.
22. Sun, X., et al. A microfluidic platform for profiling biomechanical properties of bacteria. Lab Chip 14 (2014), 2491–2498.
23. Pulido, M.R., et al. Progress on the development of rapid methods for antimicrobial susceptibility testing. J. Antimicrob. Chemother. 68 (2013), 2710–2717.
24. Bauer, K.A., et al. Review of rapid diagnostic tests used by antimicrobial stewardship programs. Clin. Infect. Dis. 59 (2014), S134–S145.
25. Kerremans, J.J., et al. Rapid identification and antimicrobial susceptibility testing reduce antibiotic use and accelerate pathogen-directed antibiotic use. J. Antimicrob. Chemother. 61 (2008), 428–435.
26. Idelevich, E.A., et al. Acceleration of antimicrobial susceptibility testing of positive blood cultures by inoculation of Vitek 2 cards with briefly incubated solid medium cultures. J. Clin. Microbiol. 52 (2014), 4058–4062.
27. Choi, J., et al. A rapid antimicrobial susceptibility test based on single-cell morphological analysis. Sci. Transl. Med., 6, 2014, 267ra174.
28. Choi, J., et al. Rapid drug susceptibility test of Mycobacterium tuberculosis using microscopic time-lapse imaging in an agarose matrix. Appl. Microbiol. Biotechnol. 100 (2016), 2355–2365.
29. Mohan, R., et al. A multiplexed microfluidic platform for rapid antibiotic susceptibility testing. Biosens. Bioelectron. 49 (2013), 118–125.
30. Mohan, R., et al. A microfluidic approach to study the effect of bacterial interactions on antimicrobial susceptibility in polymicrobial cultures. RSC Adv. 5 (2015), 35211–35223.
31. Li, B., et al. Gradient microfluidics enables rapid bacterial growth inhibition testing. Anal. Chem. 86 (2014), 3131–3137.
32. Hou, Z., et al. Time lapse investigation of antibiotic susceptibility using a microfluidic linear gradient 3D culture device. Lab Chip 14 (2014), 3409–3418.
33. Sun, H., et al. Cell-on-hydrogel platform made of agar and alginate for rapid, low-cost, multidimensional test of antimicrobial susceptibility. Lab Chip 16 (2016), 3130–3138.
34. Liu, Z., et al. A multiplexed, gradient-based, full-hydrogel microfluidic platform for rapid, high-throughput antimicrobial susceptibility testing. ChemPlusChem, 2017, 10.1002/cplu.201600654 Published online May 2017.
35. Hou, H.W., et al. Direct detection and drug-resistance profiling of bacteremias using inertial microfluidics. Lab Chip 15 (2015), 2297–2307.
36. Wright, G.D., Poinar, H., Antibiotic resistance is ancient: implications for drug discovery. Trends Microbiol. 20 (2012), 157–159.
37. Norrby, S.R., et al. Lack of development of new antimicrobial drugs: a potential serious threat to public health. Lancet Infect. Dis. 5 (2005), 115–119.
38. Bartlett, J.G., et al. Seven ways to preserve the miracle of antibiotics. Clin. Infect. Dis. 56 (2013), 1445–1450.
39. Cooper, M.A., Shlaes, D., Fix the antibiotics pipeline. Nature, 472, 2011, 32.
40. Projan, S.J., Why is big pharma getting out of antibacterial drug discovery?. Curr. Opin. Microbiol. 6 (2003), 427–430.
41. Lok, C., Mining the microbial dark matter. Nature 522 (2015), 270–273.
42. Ling, L.L., et al. A new antibiotic kills pathogens without detectable resistance. Nature 517 (2015), 455–459.
43. Ma, L., et al. Gene-targeted microfluidic cultivation validated by isolation of a gut bacterium listed in Human Microbiome Project's most wanted taxa. Proc. Natl. Acad. Sci. U. S. A. 111 (2014), 9768–9773.
44. Brouzes, E., et al. Droplet microfluidic technology for single-cell high-throughput screening. Proc. Natl. Acad. Sci. U. S. A. 106 (2009), 14195–14200.
45. Miller, O.J., et al. High-resolution dose–response screening using droplet-based microfluidics. Proc. Natl. Acad. Sci. U. S. A. 109 (2012), 378–383.
46. Churski, K., et al. Rapid screening of antibiotic toxicity in an automated microdroplet system. Lab Chip 12 (2012), 1629–1637.
47. Bhatia, S.N., Ingber, D.E., Microfluidic organ-on-chips. Nat. Biotechnol. 32 (2014), 760–772.
48. Esch, M.B., et al. The role of body-on-a-chip devices in drug and toxicity studies. Annu. Rev. Biomed. Eng. 13 (2011), 55–72.
49. Balaban, N.Q., et al. Bacterial persistence as a phenotypic switch. Science 305 (2004), 1622–1625.
50. El-Ali, J., et al. Cells on chips. Nature 442 (2006), 403–411.
51. Ren, K., et al. Materials for microfluidic chip fabrication. Acc. Chem. Res. 46 (2013), 2396–2406.
52. Ren, K., et al. New materials for microfluidics in biology. Curr. Opin. Biotechnol. 25 (2014), 78–85.
53. Berthier, E., et al. Engineers are from PDMS-land, biologists are from polystyrenia. Lab Chip 12 (2012), 1224–1237.
54. Volpatti, L.R., Yetisen, A.K., Commercialization of microfluidic devices. Trends Biotechnol. 32 (2014), 347–350.
55. Blow, N., Microfluidics: the great divide. Nat. Methods 6 (2009), 683–686.
56. Caicedo, H.H., Brady, S.T., Microfluidics: the challenge is to bridge the gap instead of looking for a killer app. Trends Biotechnol. 34 (2016), 1–3.
57. Jorgensen, J.H., Ferraro, M.J., Antimicrobial susceptibility testing: a review of general principles and contemporary practices. Clin. Infect. Dis. 49 (2009), 1749–1755.
58. Schofield, C.B., Updating antimicrobial susceptibility testing methods. Clin. Lab. Sci. 25 (2012), 233–239.
59. Doern, G.V., Brecher, S.M., The clinical predictive value (or lack thereof) of the results of in vitro antimicrobial susceptibility tests. J. Clin. Microbiol. 49 (2011), 11–14.
60. Van Belkum, A., Dunne, W.M., Next-generation antimicrobial susceptibility testing. J. Clin. Microbiol. 51 (2013), 2018–2024.
61. Didelot, X., et al. Transforming clinical microbiology with bacterial genome sequencing. Nat. Rev. Genet. 13 (2012), 601–612.
62. Hrabak, J., et al. Matrix-assisted laser desorption ionization-time of flight (MALDITOF) mass spectrometry for detection of antibiotic resistance mechanisms: from research to routine diagnosis. Clin. Microbiol. Rev. 26 (2013), 103–114.
63. Kinnunen, P., et al. Self-assembled magnetic bead biosensor for measuring bacterial growth and antimicrobial susceptibility testing. Small 8 (2012), 2477–2482.