Literature DB >> 33629487

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

N B S Silva1, L A Marques2, D D B Röder3.   

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.
© 2021 The Society for Applied Microbiology.

Entities:  

Keywords:  MALDI-TOF MS; clinical practice; diagnosis of biofilm; in vitro methods; in vivo methods; omics analysis

Year:  2021        PMID: 33629487     DOI: 10.1111/jam.15049

Source DB:  PubMed          Journal:  J Appl Microbiol        ISSN: 1364-5072            Impact factor:   3.772


  3 in total

1.  Polymicrobial biofilms of ocular bacteria and fungi on ex vivo human corneas.

Authors:  Konduri Ranjith; Banka Nagapriya; Sisinthy Shivaji
Journal:  Sci Rep       Date:  2022-07-08       Impact factor: 4.996

2.  Surface Topography-Adaptive Robotic Superstructures for Biofilm Removal and Pathogen Detection on Human Teeth.

Authors:  Min Jun Oh; Alaa Babeer; Yuan Liu; Zhi Ren; Jingyu Wu; David A Issadore; Kathleen J Stebe; Daeyeon Lee; Edward Steager; Hyun Koo
Journal:  ACS Nano       Date:  2022-06-28       Impact factor: 18.027

Review 3.  Metal and Metal Oxide Nanomaterials for Fighting Planktonic Bacteria and Biofilms: A Review Emphasizing on Mechanistic Aspects.

Authors:  Caixia Sun; Xiaobai Wang; Jianjun Dai; Yanmin Ju
Journal:  Int J Mol Sci       Date:  2022-09-26       Impact factor: 6.208

  3 in total

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