The Potential Clinical Applications of a Microfluidic Lab-on-a-Chip for the Identification and Antibiotic Susceptibility Testing of Enterococcus faecalis -Associated Endodontic Infections: A Systematic Review.
Carlos-Martín ArdilaGustavo A Jiménez-ArbeláezAnnie Marcela Vivares-BuilesPublished in: Dentistry journal (2023)
This systematic review evaluated the potential clinical use of microfluidic lab-on-a-chip (LOC) technology in the identification and antibiotic susceptibility testing of E. faecalis in endodontic infections. The search methodology employed in this review adhered to the PRISMA guidelines. Multiple scientific databases, including PubMed/MEDLINE, SCOPUS, and SCIELO, were utilized, along with exploration of grey literature sources. Up to September 2023, these resources were searched using specific keywords and MeSH terms. An initial comprehensive search yielded 202 articles. Ultimately, this systematic review incorporated 12 studies. Out of these, seven aimed to identify E. faecalis , while the remaining five evaluated its susceptibility to different antibiotics. All studies observed that the newly developed microfluidic chip significantly reduces detection time compared to traditional methods. This enhanced speed is accompanied by a high degree of accuracy, efficiency, and sensitivity. Most research findings indicated that the entire process took anywhere from less than an hour to five hours. It is important to note that this approach bypasses the need for minimum inhibitory concentration measurements, as it does not rely on traditional methodologies. Microfluidic devices enable the rapid identification and accurate antimicrobial susceptibility testing of E. faecalis , which are crucial for timely diagnosis and treatment in endodontic infections.
Keyphrases
- circulating tumor cells
- systematic review
- high throughput
- meta analyses
- single cell
- label free
- bioinformatics analysis
- loop mediated isothermal amplification
- blood pressure
- case control
- randomized controlled trial
- machine learning
- high resolution
- real time pcr
- risk assessment
- climate change
- mass spectrometry
- artificial intelligence