| Literature DB >> 28607383 |
Hakan Inan1, Shuqi Wang2, Fatih Inci1, Murat Baday1, Richard Zangar3, Sailaja Kesiraju4, Karen S Anderson5, Brian T Cunningham6, Utkan Demirci7,8.
Abstract
Human Papillomavirus (HPV) infection has been recognized as the main etiologic factor in the development of various cancers including penile, vulva, oropharyngeal and cervical cancers. In the development of cancer, persistent HPV infections induce E6 and E7 oncoproteins, which promote cell proliferation and carcinogenesis resulting elevated levels of host antibodies (e.g., anti-HPV16 E7 antibody). Currently, these cancers are clinically diagnosed using invasive biopsy-based tests, which are performed only in centralized labs by experienced clinical staff using time-consuming and expensive tools and technologies. Therefore, these obstacles constrain their utilization at primary care clinics and in remote settings, where resources are limited. Here, we present a rapid, inexpensive, reliable, easy-to-use, customized immunoassay platform following a microfluidic filter device to detect and quantify anti-HPV16 E7 antibodies from whole blood as a non-invasive assisting technology for diagnosis of HPV-associated malignancies, especially, at primary healthcare and remote settings. The platform can detect and quantify anti-HPV16 E7 antibody down to 2.87 ng/mL. We further validated our immunoassay in clinical patient samples and it provided significantly high responses as compared to control samples. Thus, it can be potentially implemented as a pretesting tool to identify high-risk groups for broad monitoring of HPV-associated cancers in resource-constrained settings.Entities:
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Year: 2017 PMID: 28607383 PMCID: PMC5468352 DOI: 10.1038/s41598-017-02672-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Techniques used for detection of HPV16 E7 antibody.
| Technique | Device Cost | Multiplexing Capability | Availability at RCS | Blood collection at POC |
|---|---|---|---|---|
| Fluorescent bead-based assay[ | High | Yes | Not Available | Not applicable |
| Programmable protein microarray[ | High | Yes | Not Available | Not applicable |
| Our immunoassay platform with filter device | Low | Limited | Available | Applicable |
Comparison of filtration techniques for the separation of plasma from whole blood.
| Technique | Example | Processing Volume | Material/Fabrication/ Availability | Applicability in RCSs and integration to Immunoassays |
|---|---|---|---|---|
| Density-based separation | Centrifuge[ | >100 μL/min | Industrial device/ Commercial Product/Clinical Laboratory Research Laboratory | Requires for highly equipped laboratory, transfer of sample to center laboratories, expensive, a bench-top device, and need large sample volume to process |
| Geometry-based separation | Weir type[ | <10 μL/min | Si, SiO2, Polymer ( | Requires highly expensive fabrication steps in clean room facilities, skilled personnel, not suitable for ELISA due to low volume yield, clogging issue |
| Flow-based separation | Continuous Flow[ | >10 μL /min >10 μL /min <10 μL /min | Si, SiO2, Polymer ( | Requires highly expensive fabrication steps in clean room facilities.Not adequate for plasma separation |
| External Field-based separation | Dielectrophoresis[ | <1 μL/min | Si, SiO2,Polymer ( | Depends on continuous external field, long operation time ( |
| Membrane-based separation | Porous filter membrane[ | >10 μL/min | Polycarbonate/ Commercial Product/ Readily Deployable to RCSs | Inexpensive, easy to construct (plug-and-use), volume obtained is enough for Immunoassay tests e.g., ELISA |
Figure 1Design and construction of a small volume microfluidic device to selectively separate anti-HPV16 E7 antibodies and other proteins in plasma from the blood cells and their quantification by a customized immunoassay. (A) Finger prick volume of whole blood is collected and Initially only 15 µL whole blood was used and diluted with PBS in 1:20. (B) DSA layers were used to assemble the PMMA layers. After chip construction steps, blood sample was applied through the inlet, and filtrate was then collected from the reservoir. Approximately 100 µL of filtrate was collected. (C) A porous membrane is used to isolate the target antibodies from the whole blood by size-based filtration. Blood cells were retained on the membrane while plasma containing antibodies pass through. (D) Customized immunoassay was designed to detect anti-HPV16 E7 antibody from the filtered sample. Briefly, in the immunoassay, each well on 96-well plate was first coated with HPV16 E7 protein. Then, the filtered plasma sample containing anti-HPV16 E7 antibody (primary antibody) was applied to the wells. To generate a color development (blue to yellow), HRP-conjugated secondary antibody was coupled with TMB solution. The absorbance value at 450 nm was determined as the signal unit of customized immunoassay. Image courtesy of “Amy Thomas” for sub-figures (B,C and D).
Figure 2Evaluation of performance of microfluidic filter device using IgG proteins obtained directly from filtered whole blood. IgG in whole blood was used as a model biomarker to evaluate the performance of microfluidic device. Briefly, a commercial IgG ELISA test kit was used to detect the concentration of IgG from whole blood that was diluted 1:20 in PBS and filtered through device. As a control, same diluted blood sample was centrifuged (gold standard method) to obtain plasma. (A) A standard curve for IgG were generated using the standards in the commercial kit (n = 3). (B) After filtration via microfluidic device, the recovered IgG in whole blood was demonstrated in terms of concentration. Similarly, centrifugation results were presented in the plot. Concentrations were generated using the standard curve in Fig. 2A. There was no statistical difference between the control and microfluidic devices (n = 3, p > 0.05). (C) Recovery rate was calculated for microfluidic filter device. Centrifugation result was determined as 100% of recovery rate (gold standard). Average recovery rate obtained from three different microfluidic devices were calculated as 94% ± 2.0%. There is no statistical difference between the devices (n = 3, p > 0.05). Statistical analysis was performed using one way analysis of variance (ANOVA), followed by Tukey’s post hoc analysis (n = 3, p < 0.05).
Figure 3Developing the customized immunoassay by spiking anti-HPV16 E7 antibody into plasma and use various protein concentration. (A) In the experiments, we initially coated the wells surfaces with various concentrations of HPV16 E7 protein ranging from 12.5 ng/mL to 1 μg/mL. We then applied different concentrations of anti-HPV16 E7 antibody between 2 pg/mL and 9 μg/mL to these wells, followed by the color development using HRP-conjugated secondary antibody (80 ng/mL). The absorbance value at 450 nm was used as the signal unit of customized immunoassay. (B) As a result, we observed no differences in the OD values above 100 ng/mL of HPV16 E7 protein, which implied a saturation level for the protein. At the protein concentrations between 12.5 ng/mL and 100 ng/mL, we observed distinguishable OD levels. As manufacturer reported, the maximum resolution limit in absorbance (OD) of the plate reader is 4 a.u. Limit of detection (LoD) and limit of quantitation (LoQ) parameters of the customized immunoassay. In the experiments, we first spiked different concentrations of anti-HPV16 E7 antibody ranging from 1 ng/mL to 200 ng/mL into plasma. In this step, plasma samples were obtained using a centrifugation method. Negative control was defined as plasma sample without anti-HPV16 E7 antibody. Here, LoD and LoQ were used to evaluate immunoassay performance. (C) Experimental LoD was obtained using a statistical assessment by comparing OD values in plasma spiked samples and negative control. As a result, 3.1 ng/mL of anti-HPV16 E7 antibody concentration provided statistically different OD value compared to the negative control. (D) Theoretical LoD was calculated using Eq. 2. 2.87 ng/mL of anti-HPV16 E7 antibody concentration was calculated as theoretical LoD value and 6.5 ng/mL was calculated as LoQ value using Eq. 3. Statistical analyses were performed using one way analysis of variance (ANOVA), followed by Tukey’s post hoc analysis (n = 3, p < 0.05).
Figure 4Integration of microfluidic filter device with the customized immunoassay using whole blood samples spiked with commercial HPV16 E7 antibodies. Here, we assessed the recovery rate of microfluidic filter device for detection of anti-HPV16 E7 antibody spiked whole blood, which was diluted 20 times before loading into the device. (A) A standard curve of immunoassay was generated using various concentrations of HPV16 E7 antibody spiked in plasma. (B) A fixed concentration of anti-HPV16 E7 antibody was spiked into whole blood, and then, the samples solution was prepared by diluting with PBS (1:20 ratio). The final concentration was adjusted to 25 ng/mL. By calculating the antibody concentrations using the standard curve, we observed that the centrifugation method recovered 23.76 ± 1.29 ng/mL of anti-HPV16 E7 antibody (n = 3), whereas the microfluidic device recovered 23.52 ± 0.92 ng/mL of anti-HPV16 E7 antibody (n = 3). As a result, no statistical difference was observed in between the microfluidic device and centrifugation method (n = 3, p > 0.05). (C) The antibody concentrations were converted to recovery rate using Eq. 1. As a result, 95 ± 5.17% and 94 ± 3.70% were observed for the centrifugation method and the microfluidic device, respectively. Statistical analyses were performed using one-way analysis of variance (ANOVA), followed by Tukey’s post hoc analysis (n = 3, p < 0.05).
Patient demographics.
| Case IDs | Study Site | age(37–80) | gender | Tumor status | Tumor HPV status | P16 |
|---|---|---|---|---|---|---|
| Mount Sinai (MSSM),Oregon Health (OHSU) | 1 = male, 2 = female | 0 = negative 1 = positive | 0 = negative 1 = positive | 0 = negative 1 = positive | ||
| 01 | MSSM | 1 | 1 | 1 | 1 | |
| 02 | MSSM | 1 | 1 | 1 | 1 | |
| 03 | MSSM | 1 | 1 | 1 | 1 | |
| 04 | MSSM | 1 | 1 | 1 | 1 | |
| 06 | MSSM | 1 | 1 | 1 | 1 | |
| 08 | MSSM | 1 | 1 | 1 | 1 | |
| 12 | MSSM | 2 | 1 | 1 | 1 | |
| 13 | MSSM | 2 | 1 | 1 | 1 | |
| 15 | MSSM | 1 | 1 | 1 | 1 | |
| 16 | MSSM | 1 | 1 | 1 | 1 | |
| 17 | MSSM | 1 | 1 | 1 | 1 | |
| 18 | MSSM | 1 | 1 | 1 | 1 | |
| 19 | MSSM | 1 | 1 | 1 | 1 | |
| 20 | MSSM | 1 | 1 | 1 | 1 | |
| 23 | MSSM | 1 | 1 | 1 | 1 | |
| 26 | MSSM | 1 | 1 | 1 | 1 | |
| 29 | MSSM | 1 | 1 | 1 | 1 | |
| 32 | MSSM | 1 | 1 | 1 | 1 | |
| 24 | OHSU | 2 | 0 | 0 | 0 | |
| 25 | OHSU | 2 | 0 | 0 | 0 | |
| 26 | OHSU | 2 | 0 | 0 | 0 | |
| 27 | OHSU | 2 | 0 | 0 | 0 | |
| 28 | OHSU | 2 | 0 | 0 | 0 | |
| 29 | OHSU | 2 | 0 | 0 | 0 | |
| 30 | OHSU | 1 | 0 | 0 | 0 | |
| 31 | OHSU | 2 | 0 | 0 | 0 | |
| 32 | OHSU | 2 | 0 | 0 | 0 | |
| 34 | OHSU | 2 | 0 | 0 | 0 | |
| 35 | OHSU | 2 | 0 | 0 | 0 | |
| 36 | OHSU | 2 | 0 | 0 | 0 | |
| 39 | OHSU | 2 | 0 | 0 | 0 | |
| 40 | OHSU | 2 | 0 | 0 | 0 | |
| 41 | OHSU | 2 | 0 | 0 | 0 | |
| 42 | OHSU | 2 | 0 | 0 | 0 | |
| 43 | OHSU | 2 | 0 | 0 | 0 | |
| 44 | OHSU | 2 | 0 | 0 | 0 | |
| 45 | OHSU | 2 | 0 | 0 | 0 | |
| 46 | OHSU | 2 | 0 | 0 | 0 |
Figure 5Validation of immunoassay test with clinical serum samples from 18 oropharyngeal cancer patients and 20 healthy controls. We performed our customized immunoassay test with clinical plasma samples from Oropharyngeal cancer patients. We have recorded the response of serially diluted patient sample (ID:02) in PBS. (A) Standard curve of the diluted patient sample. (B) Responses of varying dilutions (K: Thousand). Dilutions between 1.5 K and 0.2 K provided OD values within the linear range of the immunoassay. Therefore, 1:500 dilutions in PBS was used in the rest of the patient and healthy control samples. (C) We evaluated plasma samples from 20 healthy controls and 18 OPC patients. Patient samples have provided significantly high responses as compared to healthy controls. Controls have yielded false positive results too (particularly control ID:29). (D) We obtained ROC curve for our customized immunoassay test. Area under curve (AUC) of the system was 0.95 and the test had 94% sensitivity at 85% specificity. There was a significant difference between patient and control samples. Statistical analyses were performed using two-tailed Mann-Whitney test (n = 18, 20. P < 0.0001).