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Diagnosis of biofilm infections: current methods used, challenges and perspectives for the future

Silva, N.B.S., Marques, L.A., Röder, D.D.B.·2021·Journal of Applied Microbiology

Abstract

The diagnosis of biofilms continues to be a challenge, and there is no standardized protocol for such a diagnosis in clinical practice. In addition, some proposed methodologies are expensive to require significant amounts of time and a high number of trained staff, making them impracticable for clinical practice. In recent years, mass spectrophotometry/matrix-assisted laser desorption ionization time of flight (MALDI-TOF) has been applied it in biofilm studies. However, due to several problems and limitations of the technique, MALDI-TOF is far from being the gold standard for identifying biofilm formation. The omics analysis may prove to be a promising strategy for the diagnosis of biofilms in clinical laboratories since it allows the identification of pathogens in less time than needed for conventional techniques and in a more specific manner. However, omic tools are expensive and require qualified technical expertise, and an analysis of the data obtained needs to be careful not to neglect subpopulations in the biofilm. More studies must therefore be developed for creating a protocol that guarantees rapid biofilm identification, ensuring greater chances of success in infection control. This review discusses the current methods of microbial biofilm detection and future perspectives for its diagnosis in clinical practice.

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Research works printed but not linked: 70

  1. 10.1016/j.mimet.2017.06.004 · DOI
  2. 10.1080/1040841X.2016.1208146 · DOI
  3. 10.1016/j.apjtb.2016.04.006 · DOI
  4. Bernardi S., 2019, Streptococcus spp. and Fusobacterium nucleatum in tongue dorsum biofilm from halitosis patients: a fluorescence in situ hybridization (FISH) and confocal laser scanning microscopy (CLSM) study, New Microbiol, 42, 108
  5. 10.3390/ijerph15081695 · DOI
  6. 10.1038/s41522-017-0012-7 · DOI
  7. 10.1089/mdr.2018.0027 · DOI
  8. 10.1093/mmy/myx111 · DOI
  9. 10.1016/j.cmi.2018.01.003 · DOI
  10. 10.3390/jof3020022 · DOI
  11. 10.1080/14787210.2018.1417036 · DOI
  12. 10.1073/pnas.1822018116 · DOI
  13. 10.1093/femsyr/foy025 · DOI
  14. 10.1007/5584_2017_34 · DOI
  15. 10.3390/cells8101129 · DOI
  16. 10.1111/jam.13368 · DOI
  17. 10.3109/1040841X.2016.1169990 · DOI
  18. 10.1111/coa.13141 · DOI
  19. 10.1016/j.mimet.2018.01.003 · DOI
  20. Grela E., 2015, Interferences in the optimization of the MTT assay for viability estimation of Proteus mirabilis, Avicenna J Med Biotechnol, 7, 159
  21. 10.3889/oamjms.2018.246 · DOI
  22. 10.1556/030.66.2019.026 · DOI
  23. 10.1016/j.cmi.2014.10.024 · DOI · Paper page
  24. Hrdlickova R., 2017, RNA‐Seq methods for transcriptome analysis, Adv Rev, 8, e1364
  25. 10.1016/j.jcma.2017.07.012 · DOI
  26. 10.1038/s41564-017-0065-7 · DOI
  27. 10.3390/ma11091705 · DOI
  28. 10.1016/j.genrep.2019.100561 · DOI
  29. 10.1016/j.mimet.2015.08.012 · DOI
  30. 10.1039/c2an15931g · DOI
  31. 10.1111/1750-3841.13017 · DOI
  32. 10.1128/9781555817466.ch11 · DOI
  33. 10.7717/peerj.780 · DOI
  34. 10.1007/978-1-4939-2851-4_1 · DOI
  35. 10.1590/S1517-83822013005000031 · DOI
  36. 10.1007/s12223-016-0458-7 · DOI
  37. 10.1590/0037-8682-0214-2019 · DOI
  38. 10.1002/mbo3.455 · DOI
  39. 10.1002/jor.24019 · DOI
  40. 10.1177/0022034517701902 · DOI
  41. 10.2147/IJGM.S153268 · DOI
  42. 10.1016/j.tim.2014.12.010 · DOI
  43. 10.3390/pathogens8010014 · DOI
  44. 10.1016/j.mimet.2017.08.003 · DOI
  45. 10.1126/scitranslmed.aax8251 · DOI
  46. 10.2217/fmb-2018-0293 · DOI
  47. 10.1016/j.mib.2012.02.005 · DOI
  48. 10.14348/molcells.2017.0017 · DOI
  49. 10.1016/j.mimet.2007.11.010 · DOI
  50. 10.1002/bjs.10433 · DOI
  51. 10.1016/j.micpath.2015.07.005 · DOI
  52. 10.1016/j.tibtech.2016.09.001 · DOI
  53. 10.1039/C8AN01488D · DOI
  54. 10.1080/1120009X.2019.1601801 · DOI
  55. 10.1016/j.mimet.2016.03.002 · DOI
  56. Shahmoradi M., 2019, Determining the biofilm forming gene profile of Staphylococcus aureus clinical isolates via multiplex colony PCR method, Rep Biochem Mol Biol, 7, 181
  57. Shukla S.K., 2017, An improved crystal violet assay for biofilm quantification in 96‐well microtitre plate, Biorxiv
  58. 10.2174/1874285801711010053 · DOI
  59. 10.3389/fmicb.2015.00791 · DOI
  60. 10.1186/s13568-015-0134-3 · DOI
  61. 10.1111/j.1600-0463.2007.apm_630.x · DOI
  62. 10.1016/B978-0-08-100382-4.00001-0 · DOI
  63. 10.1038/srep25889 · DOI
  64. 10.1111/jam.13533 · DOI
  65. 10.1016/j.tiv.2011.07.007 · DOI
  66. 10.3390/ijms17060870 · DOI
  67. 10.1007/s00284-016-1081-1 · DOI
  68. Yadav M.K., 2020, New and Future Developments in Microbial Biotechnology and Bioengineering: Microbial Biofilms, 15, 10.1016/B978-0-444-64279-0.00002-5 · DOI
  69. 10.1007/978-981-13-0529-0_1 · DOI
  70. 10.4155/fmc.12.59 · DOI

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Metadata

Authors
Silva, N. B. S., Marques, L. A., & Röder, D. D. B.
Venue
Journal of Applied Microbiology
Published
2021-03-08
Volume
131
Issue
5
Pages
2148-2160
ISSN
  • 1364-5072
  • 1365-2672
Cited by
86
References
3
Language
en

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CoChat. (2026). Citation check: Diagnosis of biofilm infections: current methods used, challenges and perspectives for the future. https://app.cochat.ai/papers/10.1111/jam.15049
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Silva, N. B. S., Marques, L. A., & Röder, D. D. B. (2021). Diagnosis of biofilm infections: current methods used, challenges and perspectives for the future. Journal of Applied Microbiology. https://doi.org/10.1111/jam.15049