Rapid Immunoglobulin M-Based Dengue Diagnostic Test Using Surface Plasmon Resonance Biosensor

Abstract

Surface plasmon resonance (SPR) is a medical diagnosis technique with high sensitivity and specificity. In this research, a new method based on SPR is proposed for rapid, 10-minute detection of the anti-dengue virus in human serum samples. This novel technique, known as rapid immunoglobulin M (IgM)-based dengue diagnostic test, can be utilized quickly and easily at the point of care. Four dengue virus serotypes were used as ligands on a biochip. According to the results, a serum volume of only 1 μl from a dengue patient (as a minimized volume) is required to indicate SPR angle variation to determine the ratio of each dengue serotype in samples with 83–93% sensitivity and 100% specificity.

Dengue is an acute febrile illness, globally recognized as one of the most significant vector-borne human diseases. It is caused by the dengue virus, which is carried by, and introduced into a human host by a female Aedes aegypti mosquito. In the past, the disease was geographically restricted to tropical and subtropical zones, but more recently with factors such increasing human migration and unplanned urbanization, the spread of disease has expanded¹. Dengue fever (DF) and its more serious forms, dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS), have become a major global health problem. These were formally included within the disease portfolio of the World Health Organization's (WHO) special program for research and training in tropical diseases by the Joint Coordination Board in June 1999. The global prevalence of dengue has grown dramatically in recent decades. According to WHO, around 3.6 billion people, or more than half of the world's population, are now at risk from dengue²,³,⁴,⁵. Currently, the disease is endemic in over 100 tropical and sub-tropical countries and roughly 390 million cases of dengue infections are estimated worldwide every year⁶,⁷.

The treatment of this disease, however, can be simple, inexpensive and effective provided that correct and early diagnosis is performed. This is only feasible if the clinical problems and disease phases are known, especially when patients are first seen and examined in triage. For proper disease management, a full blood count should be done during the first visit. A hematocrit (HCT) test establishes the patient's individual baseline, from which a subsequent decrease in white blood cell count indicates a high probability of dengue. A rapid decrease in platelets with rising HCT suggests advancement towards a critical disease phase. Current biomedical diagnostics procedures include the enzyme-linked immune sorbent assay (ELISA) technique and Rapid Diagnostic Tests (RDTs)⁸,⁹, which are commonly used to detect Non Structural protein 1 (NS1)¹⁰,¹¹,¹², Immunoglobulin M (IgM)¹³,¹⁴, and Immunoglobulin G (IgG)⁸. ELISA is limited by slow processing due to the required incubation period (from a few hours to 2 days) and does not provide sensitive detection in non-laboratory settings typical of point of care (POC)¹⁵. Additionally, the automated ELISA system requires high-level expertise to operate the expensive, bulky equipment and consumes considerable amounts of chemicals, for which reasons it is not available in many hospitals. In rapid immune chromatography characterized by ease of use and rapid detection rate, only one drop of blood is necessary for diagnosis¹⁶,¹⁷. However, this method is only suitable for screening since it is cannot deliver high sensitivity and specificity results.

There are several commercial antibody detection kits for dengue virus identification. The most popular screening methods are the immunoassay method (ELISA), dipstick and rapid testing with the immune-chromatographic dot blot. In conventional methods¹⁸,¹⁹,²⁰ the diagnostic procedure is time-consuming, requiring a lengthy process conducted by well-trained staff. The ELISA method requires several sequential, time-controlled steps that may take more than 6 hours to complete. Since the method relies on manual intervention, it can render expensive and provide inaccurate results.

Surface plasmon resonance (SPR) is an optical technique with prospective application in probing for refractive index changes that generally occur within the immediate vicinity of a sensor surface. It additionally forms the basis of many sensing tools for measuring material adsorption on planar metal surfaces (typically gold and silver) or on the surfaces of metal nanoparticles, such as several color-based biosensors and lab-on-a-chip sensors²¹,²²,²³,²⁴,²⁵. Initially, SPR was used to investigate the inherent optical properties of thin metal films. Subsequent usage has been extended to a variety of other applications²⁶,²⁷,²⁸,²⁹,³⁰. In these sensors, a surface plasmon mode (wave) is excited at the interface between a metal film and a dielectric medium using a light wave. A change in the dielectric medium's refractive index produces a modification in surface plasmon mode propagation. Consequently, the coupling condition between the light wave and surface plasmon wave is altered, which becomes evident as a change in one of the characteristics of the optical wave interacting with the surface plasmon mode³¹,³²,³³.

The aim of this study is to propose a technique for the early detection of the dengue virus using the surface plasmon resonance method. The technique assumes the immobilized antigen of all four dengue serotypes is a ligand as opposed to an antibody commonly assumed in conventional methods.

Results

Surface plasmon resonance is proposed for the rapid detection of anti-dengue virus in human serum samples within 10 minutes. All four dengue virus serotypes were immobilized onto the biochip surface (Fig. 1). Following the immobilization stage, the patient sera were categorized as high positive (HP), mid positive (MP), and low positive (LP) samples. These were optimized such that only 1 μl was required, rendering the method extremely suitable for POC environments. Some samples without the dengue virus were provided in order to taking specificity into account as well. The experiments were carried out using samples supplied by the Department of Microbiology, University of Malaya. The samples included high positive (antibody titre 1280–10240 or more), mid positive (antibody titre 160–640), and low positive (antibody titre 10–160), and were classified via hemagglutination inhibition (HI) antibody and ELISA tests (Table 1)⁵,³⁴. Furthermore, some samples with tick-borne encephalitis (TBE) and hepatitis C (HC) viruses were provided in conjunction with the specificity investigation as shown in Table 2. The samples were tested with the SPR method to ensure high sensitivity and specificity.

Figure 1. Immobilization sensorgram of four serotypes of dengue antigen on sensor surface.

Table 1. Comparative data base of ELISA and proposed SPR biosensor in low, mid and high positive patient samples of dengue virus.

		ELISA results			Biosensor results (ΔθSPR)
Type of sample (HI)	Patient serum	P/N ratio	NS1	IgM	S.T. 1	S.T. 2	S.T. 3	S.T. 4
Low positive (Antibody titre 10–160)	AH01	2.48	−	+	1.0110	0.7454	0.5808	0.5923
	AH02	2.67	−	+	1.0570	0.7186	0.5845	0.6344
	AH03	2.59	+	+	1.0688	0.7211	0.5785	0.6369
	AH04	2.47	+	+	1.0013	0.6498	0.5499	0.5957
	AH05	2.81	+	+	1.0102	0.6694	0.5162	0.5572
	AH06	2.47	+	+	1.0060	0.6560	0.5080	0.5467
	AH07	2.79	+	+	0.9665	0.6910	0.5548	0.6105
	AH08	2.14	+	+	1.0019	0.7015	0.5002	0.5844
	AH09	2.93	−	+	1.1015	0.7528	0.5775	0.6512
	AH10	2.58	−	+	1.0104	0.7501	0.5771	0.6081
Mid positive (Antibody titre 160–640)	AH11	3.01	+	+	0.9983	0.8863	0.6866	0.7051
	AH12	3.93	+	+	1.0574	0.9095	0.5849	0.8077
	AH13	3.45	−	+	1.1691	0.7965	0.5987	0.7498
	AH14	3.75	+	+	0.9862	0.9380	0.6720	0.7899
	AH15	3.34	−	+	1.1001	0.8754	0.6972	0.7386
	AH16	4.59	−	+	1.1124	0.9566	0.7399	0.8211
	AH17	4.5	+	+	1.1092	0.9487	0.7410	0.8222
	AH18	4.96	+	+	1.1978	0.9637	0.7405	0.8230
	AH19	4.34	−	+	1.0543	0.7688	0.7337	0.6968
	AH20	4.63	+	+	1.1733	0.9598	0.7234	0.8176
High positive (Antibody titre 1280–10240)	AH21	5.25	+	+	1.1255	1.0114	0.7154	0.9045
	AH22	5.69	+	+	1.1469	0.9778	0.7740	0.8304
	AH23	5.12	+	+	1.1344	0.9463	0.7595	0.7983
	AH24	5.6	+	+	1.1226	0.9462	0.7519	0.8084
	AH25	6.53	−	+	1.1215	0.9084	0.7585	0.7845
	AH26	7.13	−	+	1.1987	1.0695	0.7021	0.8793
	AH27	7.32	+	+	1.2731	1.1128	0.8676	0.9519
	AH28	6.06	+	+	1.1996	0.9954	0.7567	0.8922
	AH29	7.02	−	+	1.2453	1.0532	0.8063	0.9476
	AH30	7.38	−	+	1.2782	0.9869	0.7631	0.8541

Table 2. The negative controls and the number of the serum samples were examined for the specificity evaluation in this study.

		ELISA results		Biosensor results (|ΔθSPR|)
Type of sample	Patient serum	NS1	IgM	S.T. 1	S.T. 2	S.T. 3	S.T. 4
Tick-Borne Encephalitis	SAM01	−	−	0.31852	0.3760	0.19469	0.32879
	SAM02	−	−	0.15085	0.2557	0.21550	0.19386
	SAM 03	−	−	0.37746	0.2860	0.00040	0.19946
	SAM 04	−	−	0.16855	0.2940	0.04890	0.16955
	SAM 05	−	−	0.14738	0.1254	0.02943	0.13294
	SAM 06	−	−	0.02807	0.1651	0.25771	0.08001
	SAM 07	−	−	0.25098	0.0770	0.18170	0.10140
	SAM 08	−	−	0.03523	0.0973	0.02780	0.07478
	SAM 09	−	−	0.04094	0.0646	0.07810	0.04010
	SAM 10	−	−	0.05042	0.0050	0.01400	0.01260
	SAM 11	−	−	0.24308	0.0911	0.25786	0.04538
	SAM 12	−	−	0.11004	0.0011	0.25924	0.09303
	SAM 13	−	−	0.25980	0.1937	0.21978	0.09314
	SAM 14	−	−	0.35171	0.2944	0.31243	0.20877
	SAM 15	−	−	0.2852	0.1905	0.23039	0.10882
	SAM 16	−	−	0.21199	0.1115	0.14507	0.01650
	SAM 17	−	−	0.22769	0.1312	0.17126	0.03061
	SAM 18	−	−	0.28431	0.1407	0.15434	0.00509
	SAM 19	−	−	0.25883	0.1396	0.17210	0.04012
Hepatitis C	SAM 20	−	−	0.21092	0.1737	0.23510	0.11329
	SAM 21	−	−	0.23587	0.1497	0.24237	0.09972
	SAM 22	−	−	0.30437	0.1798	0.19558	0.06360

The surface on which the antigens (Ag) were immobilized was characterized using scanning electron microscopy (FE/SEM Quanta FEG250) and atomic force microscopy (VEECO DIMENSION 3000 AFM). AFM imaging was performed in contact mode using 0.01–0.025 Ohm-cm antimony (n)-doped silicon probes. Figure 2 (a) exemplifies a typical cross-sectional view of gold coating on glass accompanied by nanoparticles such as amine groups and immobilized antigens. According to the SEM, the gold coating was around 52 nm thick. Figure 2 (b) displays the top view of the gold surface with immobilized antigens on it. For further investigation 2D and 3D images of AFM were employed to prove the existence of immobilized antigens (Figs. 2 (c) and (d)). The 3D AFM image shows the surface of the gold-coated glass with two distinctive types of hills: first, homogenous, dense and low gold hills resulting from amine groups and second, sporadic higher hills created by immobilized antigens. The amine groups acted as a binding protein to the sensing antigen, which anchored very well to the sensor surface.

Figure 2. Characterization of the immobilization process on the gold surface using SEM and AFM equipments.

The binding response sensorgram resulting from dengue high-positive serum (as an example) along with the control experiment (as reference) shows the amount of binding interaction on the biosensor's gold surface (Fig. 3). Upon injecting the patient's sample, the response increased exponentially representing the amount of dengue antibody bound with its antigens during injection. Binding will not occur if the patient sample does not carry dengue antibody or if it carries non-dengue antibodies.

Figure 3. The binding response curve termed by sensorgram, (a) the binding process and (b) the regeneration of biosensor surface.

As previously mentioned, the samples are categorized into three groups: HP, MP, and LP. Each category has four bars that represent the four dengue virus types (Figure 4).

Figure 4. SPR angle variation via patient's serum- dengue virus diagnosis graph.

Discussion

In the current study, a means of early detection of all four dengue virus serotypes via surface plasmon resonance was introduced. The technique considers the immobilized antigen to be a ligand as an alternative to the conventionally used antibody. Although Sunita Kumbhat et al.³⁵ reported that with the SPR technique it is possible to detect the dengue virus they did not categorize all four dengue serotypes. Moreover, we have demonstrated that only 1 μl of dengue-patient serum could indicate the SPR angle variation that determines the ratio of each dengue serotype in the samples. Then all four virus serotypes were categorized with high sensitivity and specificity.

Figure 1 ((a) to (g)) illustrates the immobilization process of four dengue virus serotypes in seven steps. The SEM and AFM images confirm that virus immobilization took place correctly (Fig. 2). Figure 3 (b) shows two dips at the end of the sensorgram caused by SPR setup adjustment. The dips indicate that the chip surface regenerated twice and all Ag-Ab binding was removed by the glycine buffer¹¹. The gold surface of the sensor should ideally be cleaned with minimal influence from previous binding, something substantiated by the control experiment. It is also worth noting that the entire assay took only ten minutes.

Figure 4 manifests the SPR angle variations in terms of patient serum. Clearly, the maximum SPR angle variations occurred in HP, MP, and LP. Each HP, MP, and LP is the average of ten samples of its type, and every bar may also serve as reference for diagnosing every dengue virus type. This method can determine the ratio of four dengue virus serotypes, and with this ratio, specialists can effortlessly and correctly decide whether to keep patients for observation (hospitalize) or send them home. The SPR angle variations in each dengue virus serotype tend to have a linear slope. Such linearity disparities can generate boundaries distinguished by HP, MP, and LP.

A comparative study was performed between the proposed SPR technique and the conventional ELISA method to validate the results (Table 1). The NS1, positive/negative (P/N) ratio and IgM results of each patient serum are displayed based on the ELISA method. The first test run was NS1, whose positive result indicates the presence of dengue virus in blood; however, to achieve further validity, an IgM test needed to be conducted as well. It is particularly vital to perform an IgM test for final confirmation in samples with negative NS1.

Table 1 lists the positive IgM results proving the presence of the dengue virus in all samples, along with IgM antibody quantity (P/N ratio). The proposed method outcome shows the binding ratio between IgM antibodies in samples with all four serotypes of the immobilized dengue virus on the chip surface. The changes in the quantity of surface-bound antibodies in the four serotypes were measured by monitoring each sample's surface plasmon resonance angle.

To identify the sensor's detection sensitivity, the change in angle matching the minimum reflection coefficient, or the SPR angle (Δθ_SPR), was calculated for every experiment (Table 1). The sensitivity of the sensor then related to the test's ability to identify positive results in contrast to conventional method results, which is 83–93% in this research.

The samples with TBE and HC viruses (negative dengue NS1 and subsequently negative dengue IgM results) are presented in Table 2. The final outcome of the proposed method indicates there is an insignificant change in the SPR angle of all four serotypes. Such minute change implies there is no binding between TBE/HC antibody present in samples and the dengue virus serotypes. According to Table 2, there are no false positive results and the specificity of 100% was obtained.

Methods

In the current work, a CM5 sensor chip was used for dengue virus detection. Figure 5 shows the schematic of the dengue virus diagnosis process. A BIAcore 3000 (GE Healthcare) system³⁶,³⁷ was utilized for real-time biomolecular interaction analyses based on surface plasmon resonance (SPR) technique. This method monitors the forming and dissociation of biomolecular complexes on the chip surface. By covalently attaching a molecule (as a ligand) to the chip surface, the binding of another molecule in solution (as analyte) with the immobilized molecule is achievable³⁸. Unlike conventional methods, the SPR technique does not require the labeling of interacting components.

Figure 5. Schematic of the dengue virus diagnosis process.

In the serological approach, immunoglobulins (IgM, IgG, and IgA) are produced from the immune system's reaction to dengue infection. These are distinct to virus (E) protein. Depending on the patient's condition of whether or not they have a primary or secondary infection, the sharpness of the response changes. Usually, for a primary infection the IgM response has higher titre than for secondary³⁴. Due to this distinctive characteristic of the IgM antibody and owing to the importance of presenting a rapid diagnostic method, the authors decided to utilize IgM.

The serum samples containing IgM were provided by the University of Malaya (UM) Medical Center. N-hydroxysuccinimide (NHS) and N-ethyl-N-(dimethylaminopropyl) carbodiimide (EDC) were used to activate the biosensor's sensor prior to injecting the ligand. To wash and remove bounded material from the sensor surface and to complete the immobilization procedure 80 μl ethanolamine and 500 μl 10 mM glycine-HCI buffer with pH 2.0 were used. 10 mM sodium acetate with pH 4.5 diluted the sample to obtain adequate concentration for the assay process.

There are different ways to immobilize substances on a sensor surface. Immobilization method selection depends on the substance properties. The immobilization approaches may be directed towards amine, carboxyl, thiol or hydroxyl groups on the ligand, or using specific tags attached to the ligand. An amine coupling chemistry was chosen, as it is the most widely applicable method to covalently attach biomolecules to the sensor chip surface and is suitable for the ligand. With this method, the dextran matrix on the sensor chip surface was initially activated with a mixture of 120 μl EDC and 120 μl NHS to produce reactive succinimide esters. The ligand was subsequently passed over the surface and the esters reacted spontaneously with amine groups to covalently link the ligand to the dextran.

The 6 μl ligand (each serotype of dengue antigen) was diluted to 194 μl acetate buffer (concentration of 3:100). After injecting the ligand, ethanolamine was passed over the sensor surface to deactivate remaining active esters. The chip was then inserted into the SPR apparatus to measure the SPR angle variations for each sample. The SPR device generated two sensorgrams (RU via time) for every experiment (sample result and its control experiment), which measured the response in terms of resonance units (RU) or in other words, is proportional to the molecular mass on the surface. For an interactant of a given mass, the response is proportional to the number of molecules at the surface. A sensorgram provides a plot of response against time showing the interaction progress that can be monitored in real-time throughout the analysis. The BIAcore machine results were then converted to display a graph of intensity via incident angle, where 1000 RU is equivalent to 0.1 angle variations.

The optimal level of immobilized ligand depends on the objective of the analysis. In this case, the ligand was immobilized on a gold surface to act as a probe on the chip surface. EDC/NHS helped activate the sensor surface (Fig. 5, step 1). After surface activation, attraction and covalent coupling of the ligand occurred, after which a buffer washed away loosely-associated ligand (Fig. 5, step 2). The response level at this point provided the first indication of the immobilized amount. Deactivation and further washing away of loosely-associated ligand were done using ethanolamine (Fig. 5, step 3). In addition, a moderate flow rate (10 μl/min) was employed for immobilization.

As shown in Fig. 5 (step 4), the dengue antibodies bound to immobilized antigens on the gold surface. The binding interaction between Ags and Abs was monitored by changing the SPR angle in real-time.

Changes in SPR angle were investigated with BIAcore 3000 to identify the existence of the anti-dengue virus IgM in samples. Data from BIAcore (Fig. 5, step 5) was converted to intensity via incident angle (Fig. 5, step 6) using Matlab programming to monitor SPR angle variations. The sensor surface was regenerated at the end of each experiment to remove the bound analyte from the immobilized ligands on the surface (Fig. 5, step 7).

Author Contributions

According to theoretical surface plasmon resonance method which is proposed by P.J., he has done all experiments through SPR setup in Microbiology Department, University of Malaya. He has also collected and analyzed the experimental data. All figures including SEM and AFM surface characterization and graphs are provided by Dr. E.Z. along with P.J. and Prof. S.D.S. who is our advisor in the Microbiology field from Medicine Faculty. Prof. F.R.M.A. supervised the project and commented on the manuscript. All authors have investigated and discussed the results and then approved the manuscript contents.