An Ultrasensitive and Novel Gene Sensor to Monitor Gut Microbiome
Rana, M.; Stewart, M.; Rodrigues, M.; Toprak, E.; Koh, A.; Argun, A. A.
Show abstract
Infections caused by multi-drug-resistant organisms (MDROs) pose a significant public health threat, responsible for over 2 million hospitalizations and 23,000 deaths annually in the United States. Microbiome dysbiosis (imbalance) is considered one of the main causes for MDRO colonization and the resulting infections. Rapid detection and intervention of MDRO outbreaks are crucial to alleviating strain on patients and healthcare facilities. Current diagnostic methods for MDRO detection are too slow and costly to provide the rapid MDRO detection necessary for patient care facilities. Here we present a rapid, accurate and cost-effective electrochemical sensor capable of MDRO detection down to [~]104 colony forming units (CFU)/g in mice and human stool samples. Our novel sensor utilizes probe-modified Screen-Printed Electrodes (SPEs) capable of hybridizing target gene sequences associated with MDROs. The resulting probe/target complex generates a unique and highly sensitive signal detectable down to 10 atto molar or 10 CFU/mL of target TEM-1 gene. The use of these pre-functionalized SPEs reduces individual sample analysis time to less than an hour. Several target sequences from two chromosomal target genes (AmpC and AcrB found in E. coli) have been identified and successfully detected in clinical stool samples with results comparable to the standard quantitative PCR method. Additional target genes associated with antibiotic resistance (TEM-1, VanA, KPC and SHV) have also been successfully detected in vitro and are ready for clinical evaluation. Future development includes multiplexing the sensor to simultaneously detect up to three MDROs target genes, including {beta}-lactamases that hydrolyze {beta}-lactams, the most commonly used antibiotics in clinical settings. This novel sensor platform will be a rapid, economical, point-of-care device with little requirement of reagent handling or technical training.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.