MP24-01 A MICROFILTRATION DEVICE FOR UROGENITAL SCHISTOSOMIASIS DIAGNOSTICS

MP24-01 A MICROFILTRATION DEVICE FOR UROGENITAL SCHISTOSOMIASIS DIAGNOSTICS

THE JOURNAL OF UROLOGYâ e270 Vol. 195, No. 4S, Supplement, Saturday, May 7, 2016 microfiltration device for fluorescence analysis of schistosome eggs...

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THE JOURNAL OF UROLOGYâ

e270

Vol. 195, No. 4S, Supplement, Saturday, May 7, 2016

microfiltration device for fluorescence analysis of schistosome eggs (Figure 2). CONCLUSIONS: Our results are proof of concept that a microfluidics device can be used to more efficiently trap and separate S. haematobium eggs in urine. Further optimization of this device may lead to a point-of-care diagnostic suitable for use in the field.

Source of Funding: Photocure Inc.

Infections/Inflammation/Cystic Disease of the Genitourinary Tract: Kidney & Bladder I Moderated Poster Saturday, May 7, 2016

8:00 AM-10:00 AM

MP24-01 A MICROFILTRATION DEVICE FOR UROGENITAL SCHISTOSOMIASIS DIAGNOSTICS Yuan Xiao, University Park, PA; Yi Lu, Tucson, AZ; Michael Hsieh*, Washington, DC; Joseph Liao, Stanford, CA; Pak Wong, University Park, PA INTRODUCTION AND OBJECTIVES: Urogenital schistosomiasis, infection of the urinary tract by Schistosoma haematobium worms, is a cause of urologic disease in over 112 million people worldwide. The diagnostic standard of care, counting eggs in urine, is slow, making it difficult to use as a point-of-care test for infection. This is a major barrier to mass drug administration campaigns seeking to eliminate S. haematobium. Herein we describe the development of a microfiltration device for trapping, isolation, and on-chip fluorescence characterization of schistosome eggs toward rapid diagnostics of urogenital schistosomiasis. METHODS: The device comprises a linear array of microfluidic traps to immobilize and separate eggs of Schistosoma haematobium from urine (Figure 1). The trap array allows sequential loading of individual eggs by flow resistance to facilitate observation and enumeration of samples with low-abundance targets. Computational fluid dynamics modeling and experimental characterization are performed to optimize the trap design for enhancing the trapping efficiency and throughput. The microfiltration device is capable of isolating schistosome eggs from urine and the trapped eggs can be recovered for downstream analysis. RESULTS: The trapping efficiency of the device is 100% with 300 ml/min and 83% with 3000 ml/min. The filtration procedure can be finished within 10 min. The microfiltration device is capable of isolating schistosome eggs from urine and the trapped eggs can be recovered for downstream analysis. On-chip staining is demonstrated in the

Source of Funding: This work is supported by the Margaret Stirewalt Endowment (MHH), National Institutes of Health (DK087895, MHH) and the Health Director’s New Innovator Award (1DP2OD007161-01).

MP24-02 PCR IN GENITO URINARY TUBERCULOSIS Maniyur Raghavendran Sr*, A Venugopal, Mysore, India INTRODUCTION AND OBJECTIVES: The detection of bacterial genome has gained enormous importance over the last decade in the diagnosis and management of mycobacterial infections. It is opined that the high sensitivity of polymerase chain reaction (PCR) is particularly useful in paucibacillary situations like genitourinary tuberculosis (GUTB). We performed a prospective study to evaluate the role of PCR in the detection of mycobacterium tuberculosis (MTb) in patients with clinically suspected GUTB and compared its sensitivity and specificity with histopathology and culture. METHODS: Over a period of 3 years, 48 patients with a clinical suspicion of GUTB were studied. The clinical features and imaging characteristics were noted. Urine specimens from all the patients were examined. The results obtained by PCR were compared with the conventional AFB cultures and histopathology. RESULTS: Forty eight patients with a clinical diagnosis of GUTB were included in the study. PCR when compared with combined biopsy and urine culture as the reference standard had a sensitivity of 89.5% and the specificity is 89.6%%. The postitive and negative predictive value was also around 90%.