Graduate Category: Life Sciences Degree Level:PhD Abstract ID# 823
ScanDrop Diagnos1c Approach for Detec1on of Bacterial Infec1on Markers Pooja Sabhachandani1, Saheli Sarkar1, Noa Cohen1, Elizabeth Hirsch2, James Kirby3 and Tania Konry1
1Department of Pharmaceu1cal Sciences, School of Pharmacy, Bouve School of Health Sciences, 2Department of Pharmacy and Health system sciences, School of Pharmacy, Bouve School of Health Sciences
Abstract
3Department of Pathology, Beth Israel Deaconess Medical Center, Boston MA
Incidence of bacterial infecAons in the urinary tract is very commonly encountered with about 8 million people affected annually. EffecAveness of the therapeuAc regimen depends on microbe diagnosAc methods and the tradiAonal ones currently employed are ineffecAve in efficiently detecAng specific strains in less than 48-‐72 hours. Strain-‐specific treatment would be ideal in light of the increasing broad-‐spectrum anAbioAc resistance, but advanced diagnosAc techniques that are currently in place are incapable of speedy detecAon, important for administraAon of appropriate therapeuAcs. Also, quick response tests are incapable of detecAng resistance profiles, which determine phenotypic suscepAbility to the drug.. To overcome these drawbacks, we have developed a microfluidic-‐based diagnosAc technology called ScanDrop, which will effecAvely detect specific pathogens directly from paAent samples along with specific cytokines produced during a Urinary Tract InfecAon (UTI). Samples along with detecAon reagents are compartmentalized in Pico liter droplets, which act as mini-‐reactors. FuncAonalized bead-‐based assays are incorporated in these droplets for simultaneous detecAon of specific pro-‐inflammatory cytokines and capture of live microbial pathogens on the bead. We have opAmized the ScanDrop system for concurrent detecAon of Il-‐6 and E. coli in urine samples for studies involving detecAon of mulAple clinically relevant pathogens. We have also established anAbioAc suscepAbility and sensiAvity profiles for some clinically relevant anAbioAcs on single bacterial level in droplets. Our system thus provides a robust and high throughput method to simultaneously detect microbes and cytokines at clinically relevant levels detected in UTIs for Amely prognosis and swiZ treatment.
IntroducAon
Results
Bacterial Urinary Tract InfecAons (UTIs) involve both, lower and upper urinary tract and if not treated promptly, these infecAons may lead to chronic pyelonephriAs and Time –lapse imaging of proliferaAon of single bacteria in droplet plaborm with incorporaAon of bacterial sepsis which may be life threatening. Current advanced diagnosAc methods bead-‐based assay to capture bacteria for these infecAons sAll require pre-‐amplificaAon of culture, which makes it tedious and Ame consuming. Also, these techniques rely on complicated instruments which are expensive, bulky and require skilled professional to operate. Therefore, we have proposed a novel technology called ScanDrop, which addresses these shortcomings. ScanDrop provides highly sensiAve and rapid diagnosAcs from direct paAent samples, without any need for sample pre-‐amplificaAon. This technology is cost effecAve with disposable one-‐Ame use microfluidic chips and can be employed with portable instruments . We combine our ScanDrop technology with our bead-‐based sensor technology for concurrent capture of bacteria in samples at clinically relevant concentraAons(103 to