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Development of a Biosensor-Based Rapid Urine Test for Detection of Urogenital Schistosomiasis

  • Kathleen E. Mach ,

    Contributed equally to this work with: Kathleen E. Mach, Ruchika Mohan

    Affiliation Department of Urology, Stanford University School of Medicine, Stanford, California, United States of America

  • Ruchika Mohan ,

    Contributed equally to this work with: Kathleen E. Mach, Ruchika Mohan

    Affiliation Department of Urology, Stanford University School of Medicine, Stanford, California, United States of America

  • Shailja Patel,

    Affiliation Department of Urology, Stanford University School of Medicine, Stanford, California, United States of America

  • Pak Kin Wong,

    Affiliation Department of Aerospace and Mechanical Engineering, The University of Arizona, Tucson, Arizona, United States of America

  • Michael Hsieh,

    Current address: Biomedical Research Institute, Rockville, Maryland, and George Washington University, Washington, DC, United States of America

    Affiliation Department of Urology, Stanford University School of Medicine, Stanford, California, United States of America

  • Joseph C. Liao

    Affiliations Department of Urology, Stanford University School of Medicine, Stanford, California, United States of America, Veterans Affairs Palo Alto Health Care System, Palo Alto, California, United States of America

Development of a Biosensor-Based Rapid Urine Test for Detection of Urogenital Schistosomiasis

  • Kathleen E. Mach, 
  • Ruchika Mohan, 
  • Shailja Patel, 
  • Pak Kin Wong, 
  • Michael Hsieh, 
  • Joseph C. Liao


Schistosomiasis affects up to 300 million people in regions of South America, Southeast Asia, the Middle East, Mediterranean Europe, and sub-Saharan Africa. Chronic consequences of schistosomiasis include anemia, physical and cognitive retardation in children, and organ failure. With predilection for the genitourinary tract, Schistosoma haematobium increases the risk of bladder cancer and HIV infection in women. Microscopic identification and enumeration of parasite eggs in urine (S. haematobium) or stool (Schistosoma mansoni and Schistosoma japonicum) has remained the standard for schistosomiasis diagnosis [1]. Limitations of microscopy include the need for skilled personnel in the field with microscopy equipment and its time-consuming nature. Particularly in infrastructure-limited regions, point-of-care (POC) molecular diagnostics hold the potential to transform the management of infectious diseases such as schistosomiasis that carry significant long-term morbidity if left undiagnosed. POC diagnosis could allow selective drug administration to individuals with confirmed infection rather than entire schools or communities, and an integrated diagnosis–single dose therapy approach could reduce costs of drug administration campaigns and minimize treatment-associated adverse effects.

Electrochemical biosensors are well suited for molecular diagnostics because of their high sensitivity, low cost, ease of integration into POC devices, and portability of the reader instrumentation [2]. We have developed a strategy for rapid (one hour) molecular diagnosis of bacterial urinary tract infections using electrochemical biosensors [3,4]. Urinary cells are lysed and directly applied to an array of sensors functionalized with oligonucleotide probes targeting the 16S ribosomal RNA (rRNA) of common uropathogens [3,4]. Formation of the sequence-specific hybridization complex between the pathogen rRNA and the labeled capture and detector probe pairs is detected by an enzyme tag that mediates an amperometric signal output (Fig 1).

Fig 1. Biosensor-based molecular detection of urinary pathogen.

The biosensor is composed of three planar gold electrodes (working, auxiliary, and reference). For the biosensor assay, capture probes are bound to the surface of the working electrode via a thiol linkage. Cells in the sample are lysed and mixed with a buffered solution of detector probe, then applied to the sensor surface. If the target rRNA is present, a hybridization complex of target, capture, and detector probes forms. This complex is detected by binding of horseradish peroxidase (HRP)-conjugated antifluorescein binding to a fluorescein tag on the detector probe and addition of tetramethylbenzidine (TMB) substrate. The electron transport mediated by the HRP is measured amperometerically, and the signal is proportional to the quantity of the target.

In this work, we demonstrate the use of our biosensor-based platform for detection of S. haematobium in urine. We developed capture and detector probes targeting S. haematobium rRNA and integrated them into our established molecular diagnostics strategy. After determining an efficient egg lysis strategy, we demonstrated direct electrochemical detection of S. haematobium eggs spiked in human urine.

Development and Validation of a Urine Test for S. haematobium

Probe design and analysis

Using Geneious 7.0.3 software, available rRNA sequences from GenBank, and published PCR primers [57], we identified five candidate probe pairs homologous to S. haematobium 18S or 28S rRNA. Similarity searches of the probe sequences using BLAST ( indicate they likely bind other schistosome species such as S. mansoni and S. japonicum because of the high degree of homology in their rRNA genes, but no significant homology outside the genus Schistosoma was identified. Given only S. haematobium eggs are generally found in urine, we determined that the sequences would confer specificity for S. haematobium when testing human urine samples (Table 1).

Table 1. Sequences of capture and detector probe pairs tested for detection of S. hematobiuma.

We tested the probe pairs in our electrochemical biosensor assay with S. haematobium RNA prepared from adult worms by the Schistosome Research Reagent Resource Center (distributed by BEI Resources). Standard chip arrays consisting of 16 electrochemical sensors were purchased from GeneFluidics (Irwindale, USA). The individual sensors were functionalized with thiolated capture probes and positive and negative control sequences as previously described [8], and the biosensor assay was conducted as previously reported [4]. Hybridization to S. haematobium 18S rRNA (18S323, 18S758C) and 28S rRNA (28S495, 28S521, and 28S693) probes was tested at 50°C. The 28S495 probe pair yielded the highest signal in the biosensor assay (Fig 2A) and was chosen for further assay development.

Fig 2. S. haematobium probe testing.

A. Sensors were functionalized with the different candidate capture probes for S. haematobium detection or positive and negative control probes. A 25 ng/μl solution of total RNA with the appropriate matching detector probe was applied to sensors with candidate probes, a 0.5 nM solution of synthetic target with matching detector probe was applied to sensors for positive control, and a hybridization solution with no target was applied to negative control sensors. The highest signal of 5237 nA for the 28S495 probe set indicated this probe would give the best sensitivity for S. haematobium detection. B. To determine the limit of detection for the 28S495 probe set, all sensors on the chip were functionalized with the 28S495 capture probe. Serial dilutions of S. haematobium total RNA were applied to the sensors for assay.

Ethics statement

All animal procedures were conducted according Administrative Panel on Laboratory Animal Care (APLAC) approved protocol #22502 and Veterinary Service Center institutional guidelines of Stanford University (Animal Welfare Assurance A3213-01 and USDA License 93-4R-00). For S. haematobium egg isolation, each hamster was anesthetized with an intraperitoneal injection of 500 μL of a 0.504 mg (100.8 units/mL) solution of heparin sodium (Sigma-Aldrich) and 26 mg/mL sodium pentobarbital. Once under deep general anesthesia (including no withdrawal responses to paw pinch), each hamster underwent a combined thoracotomy and laparotomy for euthanasia and to expose the abdominal viscera. The liver and intestines of each hamster were harvested, and S. haematobium eggs were isolated.

Analytical sensitivity of the electrochemical biosensor assay with S. haematobium egg RNA

To verify the analytical sensitivity of the probe pairs, we isolated total RNA directly from S. haematobium eggs. Tissues from S. haematobium-infected Lakeview Golden (LVG) hamsters obtained from the Schistosomiasis Research Reagent Resource Center (Biomedical Research Institute, Rockville, Maryland) were harvested for egg isolation at approximately 18 weeks postinfection [9]. After harvesting, S. haematobium eggs were preserved in RNA Later (Ambion, Life Technologies). Total RNA from approximately 8,000 eggs was extracted using Trizol Reagent (Ambion, Life Technologies, USA) according to manufacturers' instructions. To determine the limit of detection (LOD) of the biosensor assay for S. haematobium egg RNA, serial dilutions of the purified RNA were prepared and tested. Using the 28S495 probe pair, as little as 0.53 ng/μl total egg RNA from S. haematobium egg rRNA was detected in the biosensor assay (Fig 2B).

Direct detection of 28S rRNA from S. haematobium eggs

Next, we tested different egg lysing strategies to enable direct detection of S. haematobium rRNA in the crude lysate using the biosensor assay. Mechanical lysis offers high versatility and is amenable to integration in diagnostic devices [10]. We compared two different lysis strategies: glass bead agitation and sonication.

For each lysis protocol, approximately 106 eggs were suspended in 500 μl lysis buffer [0.1% Triton X-100, 20 mM tris-HCl (pH 8.0), 2 mM EDTA (pH 8.0)] in a 1.5 ml tube. For glass bead agitation, 10–15 glass beads, (1 mm diameter, Sigma-Aldrich) were added to the tube containing eggs in lysis buffer then vigorously vortexed for 2 min. The beads were allowed to settle and the lysate removed for assay. For sonication, the eggs suspended in lysis buffer were subjected to two 10-sec pulses with a probe sonicator (Sonic Dismembrator Model 100, Fisher Scientific) at output power of 4–5 RMS with 10 sec on ice between sonication to prevent excess RNA damage. To avoid cross-contamination, the sonicator probe was cleaned with isopropanol between uses. The crude lysate was then used in a biosensor assay. Starting with the same number of eggs for both lysis protocols, the biosensor signal was 3.3-fold higher after lysis by sonication compared to agitation with glass beads (Fig 3A). The data suggest that sonication yield more efficient liberation of rRNA from the schistosome eggs and was used for lysis in subsequent experiments.

Fig 3. Detection of S. haematobium eggs.

A. S. haematobium eggs spiked in human urine were lysed by agitation with glass beads or sonication and the crude lysate tested in the biosensor assay with the 28S495 probe set with positive and negative controls as described in Fig 2. The higher signal with sonication compared to glass beads indicates more efficient cell lysis. B. To determine the LOD for detection of S. haematobium eggs in urine in the biosensor assay, a sample of 106 egg/ml was lysed by sonication and serially diluted in urine. Biosensor assay detection of S. haematobium eggs with the 28S495 probe set indicated an LOD of approximately 30 eggs/ml.

Detection of S. haematobium eggs in urine with electrokinetic-facilitated hybridization

Previously, we integrated alternating current (AC) electrokinetics to improve direct electrochemical detection of bacterial pathogens in urine [8,11]. By inducing bulk fluid motion and local heating, AC electrokinetics improved overall signal-to-noise of the biosensor assay. Further, implementation of electrokinetics will facilitate integration into a POC device as it obviates the need for an external incubator for hybridization. For schistosomal detection, we applied square wave AC potential across the working and auxiliary electrodes of the electrochemical sensors using a function generator (HP, 33210A) and a setting of 200 kHz, 7 Vpp for 15 minutes. We determined the LOD of S. haematobium eggs in human urine with probe pair 28S495 with electrokinetics-facilitated hybridization. Urine containing S. haematobium eggs was sonicated and serially diluted in the urine sample, and dilutions were tested in the biosensor assay. The LOD was approximately 30 eggs/ml urine in the biosensor assay. However, optimization of sensitivity, possibly through concentration of eggs in urine or biosensor probe modification, will be necessary for detection of light infections where as few as 2–3 eggs/ml may be present in urine [12].


This study is an important step toward development of a POC device for rapid detection of S. haematobium eggs in urine (Box 1). We have implemented strategies that will aid in device integration, such as mechanical lysis and AC electrokinetics. For future development, we will integrate this core assay into a fully automated microfluidics cartridge, further optimize the detection sensitivity, and validate with clinical samples.

Box 1. Advantages and Disadvantages of a Biosensor-Based Rapid Diagnostic Test for Detection of Urogenital Schistosomiasis


  • Biosensor-based approach offers quantitative detection of parasite-derived nucleic acids, which is potentially less subjective to the current standard based on egg counting.
  • Does not require shedding of eggs for detection of parasite nucleic acids in urine (particularly relevant for diagnosis of low-intensity infection).
  • Time-to-result is on the scale of several minutes rather than hours.


  • Sensitivity for detecting low intensity infections likely still not optimal.
  • Current version of biosensor-based diagnostic test is not POC.
  • Test still requires trained users rather than being usable by lay persons.

Sequence numbers

Biosensor probes based on GenBank sequences Z11976.1 and Z46521.


We would like to thank the Schistosome Research Reagent Resource Center and BEI Resources, NIAID, NIH for providing schistosome reagents, and Luke Pennington, Jared Honeycutt, Parameth Thiennimitr, and Chi-Ling Fu for assistance with egg extraction from hamsters.


  1. 1. Bergquist R, Johansen MV, Utzinger J (2009) Diagnostic dilemmas in helminthology: what tools to use and when? Trends Parasitol 25: 151–156. pmid:19269899
  2. 2. Sin ML, Mach KE, Wong PK, Liao JC (2014) Advances and challenges in biosensor-based diagnosis of infectious diseases. Expert Rev Mol Diagn 14: 225–244. pmid:24524681
  3. 3. Liao JC, Mastali M, Gau V, Suchard MA, Moller AK, et al. (2006) Use of electrochemical DNA biosensors for rapid molecular identification of uropathogens in clinical urine specimens. J Clin Microbiol 44: 561–570. pmid:16455913
  4. 4. Mohan R, Mach KE, Bercovici M, Pan Y, Dhulipala L, et al. (2011) Clinical validation of integrated nucleic acid and protein detection on an electrochemical biosensor array for urinary tract infection diagnosis. PLoS One 6: e26846. pmid:22066011
  5. 5. Chen F, Li J, Sugiyama H, Weng YB, Zou FC, et al. (2011) Comparative Analysis of 18S and 28S rDNA Sequences of Schistosoma japonicum from Mainland China, the Philippines and Japan. Journal of Animal and Veterinary Advances 10: 2010–2015.
  6. 6. Sandoval N, Siles-Lucas M, Perez-Arellano JL, Carranza C, Puente S, et al. (2006) A new PCR-based approach for the specific amplification of DNA from different Schistosoma species applicable to human urine samples. Parasitology 133: 581–587. pmid:16834820
  7. 7. Zhou L, Tang J, Zhao Y, Gong R, Lu X, et al. (2011) A highly sensitive TaqMan real-time PCR assay for early detection of Schistosoma species. Acta Trop 120: 88–94. pmid:21763257
  8. 8. Ouyang M, Mohan R, Lu Y, Liu T, Mach KE, et al. (2013) An AC electrokinetics facilitated biosensor cassette for rapid pathogen identification. Analyst 138: 3660–3666. pmid:23626988
  9. 9. Tucker MS, Karunaratne LB, Lewis FA, Freitas TC, Liang Y-s (2001) Schistosomiasis. Current Protocols in Immunology: John Wiley & Sons, Inc.
  10. 10. Nan L, Jiang Z, Wei X (2014) Emerging microfluidic devices for cell lysis: a review. Lab Chip 14: 1060–1073. pmid:24480982
  11. 11. Sin ML, Liu T, Pyne JD, Gau V, Liao JC, et al. (2012) In situ electrokinetic enhancement for self-assembled-monolayer-based electrochemical biosensing. Anal Chem 84: 2702–2707. pmid:22397486
  12. 12. Warren KS, Mahmoud AA, Muruka JF, Whittaker LR, Ouma JH, et al. (1979) Schistosomiasis haematobia in coast province Kenya. Relationship between egg output and morbidity. Am J Trop Med Hyg 28: 864–870. pmid:484768