Fanwu Gong1, Hua-Xing Wei2, Ji Qi3, Huan Ma1, Lianxin Liu4, Jianping Weng5, Xucai Zheng1, Qiangsheng Li1, Dan Zhao1, Haopeng Fang1, Liu Liu1, Hongliang He2, Cuichen Ma1, Jinglong Han6, Anyuan Sun2, Baolong Wang2, Tengchuan Jin1, Bowei Li3, Bofeng Li1. 1. Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China. 2. Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China. 3. CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China. 4. Department of Hepatobiliary Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230021, China. 5. Department of Endocrinology and Metabolism, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230027, China. 6. School of Environment and Materials Engineering, Yantai University, Yantai 264005, China.
Abstract
The spread of Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), resulting in a global pandemic with around four million deaths. Although there are a variety of nucleic acid-based tests for detecting SARS-CoV-2, these methods have a relatively high cost and require expensive supporting equipment. To overcome these limitations and improve the efficiency of SARS-CoV-2 diagnosis, we developed a microfluidic platform that collected serum by a pulling-force spinning top and paper-based microfluidic enzyme-linked immunosorbent assay (ELISA) for quantitative IgA/IgM/IgG measurements in an instrument-free way. We further validated the paper-based microfluidic ELISA analysis of SARS-CoV-2 receptor-binding domain (RBD)-specific IgA/IgM/IgG antibodies from human blood samples as a good measurement with higher sensitivity compared with traditional IgM/IgG detection (99.7% vs 95.6%) for early illness onset patients. In conclusion, we provide an alternative solution for the diagnosis of SARS-CoV-2 in a portable manner by this smart integration of pulling-force spinning top and paper-based microfluidic immunoassay.
The spread of Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), resulting in a global pandemic with around four million deaths. Although there are a variety of nucleic acid-based tests for detecting SARS-CoV-2, these methods have a relatively high cost and require expensive supporting equipment. To overcome these limitations and improve the efficiency of SARS-CoV-2 diagnosis, we developed a microfluidic platform that collected serum by a pulling-force spinning top and paper-based microfluidic enzyme-linked immunosorbent assay (ELISA) for quantitative IgA/IgM/IgG measurements in an instrument-free way. We further validated the paper-based microfluidic ELISA analysis of SARS-CoV-2 receptor-binding domain (RBD)-specific IgA/IgM/IgG antibodies from human blood samples as a good measurement with higher sensitivity compared with traditional IgM/IgG detection (99.7% vs 95.6%) for early illness onset patients. In conclusion, we provide an alternative solution for the diagnosis of SARS-CoV-2 in a portable manner by this smart integration of pulling-force spinning top and paper-based microfluidic immunoassay.
Coronavirus infection leads
to a public health crisis since the beginning of the 21st century,[1] including the appearance of severe acute respiratory
syndrome-coronavirus (SARS-CoV) in 2003 and Middle East respiratory
syndrome-coronavirus (MERS-CoV) in 2012, especially the new emergency
of coronavirus disease 2019 (COVID-19), which has spread rapidly all
over the world.[2,3] After infected with SARS-CoV-2,
patients have respiratory symptoms, such as cough, fever, and shortness
of breath. Moreover, patients with severe disease could develop pneumonia,
kidney failure, and brain failure or even die.[4] The current global coronavirus epidemic is progressing quickly,
causing a huge health and economic problem. To date, the total number
of infected people has exceeded 173 000 000, as well
as more than 3 700 000 deaths.Therefore, there
is an urgent need for a more reliable and cheap
diagnostic method to screen and distinguish the SARS-CoV-2-infected
patients from healthy people. To date, most clinical inspections of
the SARS-CoV-2 virus are based on the real-time polymerase chain reaction
(PCR) analysis of nasopharyngeal or throat swab samples or enzyme-linked
immunosorbent assay (ELISA) about detecting the expression of virus
protein. There is always a concern about the difficulty of obtaining
high-quality throat swab samples, and comparative lower viral load
at the early stage of infection, resulting in a high false-negative
rate.[5,6] On the other hand, lateral flow rapid test
strip gives a way to confirm the presence or absence of the SARS-CoV-2
virus, but it cannot provide quantitative information and lead to
a limitation in clinical practice.Many people in developed
countries have been infected with SARS-CoV-2,
such as the United States, United Kingdom, Italy, etc. In addition,
more than 100 other countries and regions around the world have also
found COVID-19 patients, including many third-world countries.[7,8] These third-world countries have large populations, high population
density, and insufficient medical resources. Although there are a
variety of reverse transcription polymerase chain reaction (RT-PCR)
kits for detecting SARS-CoV-2, the RT-PCR method has a relatively
high cost and requires expensive supporting equipment. It is crucial
to develop some new methods to achieve low-cost and fast detection
of SARS-CoV-2.[5]Recently, microfluidic
paper-based analytical devices (μPADs)
have been a hotspot of research due to their multiple inherent advantages,
such as low cost, small reagent consumption, no external power source,
and good biocompatibility.[9−11] Therefore, microfluidic paper
chips are increasingly being used in many fields including point-of-care
testing (POCT),[9,12] environmental monitor,[13,14] clinical analysis,[9,15] food processing, and chemical
industries.[16] For example, Yu’s
group used three-dimensional paper-based electrochemiluminescence
and chemiluminescence immunoassays to develop a series of methods
for the measurement and rapid testing of biomarkers.[17−19] Bhamla and his co-workers invented a paper centrifugation technology
that worked without electricity and separated blood in a few minutes.[20] Using a high-speed centrifugal rotation of the
fidget spinner, Michael made a rapid diagnosis of urinary tract infection[21] and Liu realized the human immunodeficiency
virus (HIV-1) detection.[22] We also provided
integrated hand-powered centrifugation-combined ELISA diagnosis on
a microfluidic device.[9]As is well
known, mature SARS-CoV-2 contains four conserved structural
proteins: spike (S), envelope (E), membrane (M), and nucleocapsid
protein (N), as well as several accessory proteins.[7,23] More
importantly, S protein contains S1 and S2 subunits, while receptor-binding
domain (RBD) as part of S1 submit can bind to human angiotensin-converting
enzyme 2 (ACE2) receptor, thus playing an essential role for the entrance
into the cell membrane.[24,25] When the virus invades
the host, the immune system produces large amounts of immunoglobulins
(IgG, IgM, and IgA), which were released into the blood.[26,27] Now, detecting RBD-specific antibody productions is a novel serological
method and has unique advantages in clinical diagnostics, especially
for identifying people who have acquired immunity against pathogens
without noticeable symptoms.[5] It has been
widely believed that IgM is the first antibody to be transiently synthesized
in response to the virus invasion.[28] IgG
is a major class of immunoglobulins found in the blood, which is induced
by a secondary immune response and has long-term immunity and immunological
memory.[29,30] Therefore, a traditional IgM/IgG combination
was used to diagnose the SARS-CoV-2 infection initially; however,
the effect was questionable. Our previous study found that IgA also
appeared at the early stage of the disease,[31] starting to be used as a good marker in the detection of SARS-CoV-2.[32,33]We had successfully built a serological solution to monitor
the
infection of SARS-CoV-2 virus by detecting the serum RBD-specific
IgA/IgM/IgG productions and proved that the combination of these parameters
greatly increased the sensitivity of the diagnosis.[31] However, this method still requires the apparatus (automatic
chemical luminescent immuno-analyzer, Kaeser 1000), which is expensive
for the health services of third-world countries. To further overcome
these limitations, we present a new way using pulling-force spinning
top (PFST) combined with paper-based microfluidic technique to accomplish
blood–serum separation and diagnose the SARS-CoV-2 by analyzing
the RBD-based IgA/IgM/IgG indicators. This measurement has three great
advantages: (1) we proved great specificity and sensitivity of the
combined anti-RBD IgA/IgM/IgG detection, giving a >99% accuracy
of
confirming the SARS-CoV-2 infection, and it will be a useful candidate
method for clinical RT-PCR diagnosis; (2) people can isolate the serum
without any clinical apparatus, and a portable smart phone is easy
to record the intensity signal; (3) the manufacturing cost of a single
PFST-μPADs device is no more than $5. These merits provide an
economic and reliable solution for both undeveloped and developed
countries. We expect this new technology will bring convenience for
diagnosis of SARS-CoV-2 and eliminate the dependence on medical apparatus,
making the community clinics, family care clinics, and even home diagnosis
of SARS-CoV-2 feasible.
Experimental Section
Materials
For serum collection, disposable capillaries
(YZB, 0002-2009) were purchased from Yongming Medical Technology,
Inc. (Yantai, China); disposable blood needles (Cat# 01-0628D) were
purchased from STERILANCE (Suzhou, China); the spinning top was bought
from “children star” toy store at Pinduoduo internet
store (PDD.US); and reheating melt rubber gun (model# RJQHAC50-GC113)
was purchased from GANCHUN (Shanghai, China). Chitosan (SCR, Cat#
17779) and glutaraldehyde (SCR, Cat# 30092436) were purchased from
Chemical Reagent Repertory, University of Science and Technology of
China. RBD, anti-RBD-IgA, anti-RBD-IgM, and anti-RBD-IgG antibodies
were purified in our lab.[31] HRP-conjugated
goat-anti-human IgA (Cat# BA1066) and HRP-conjugated goat-anti-human
IgM (Cat# BA1077) were purchased from Boster Biological Technology
Co. (Wuhan, China); goat-anti-human IgG (Lot# SSA015) was purchased
from Sino Biological, Inc. (Beijing, China); HRP-conjugated rabbit
anti-goat IgG (Lot# D110117) was purchased from Sangon Biotech (Shanghai,
China), which was also called anti-anti-IgG; and TMB solution (Cat#
P0209) was purchased from Beyotime Biotechnology (Shanghai, China).
Design and Fabrication of μPADs
The paper-based
device was designed by the illustrator software and fabricated by
a wax printing process. The detailed process has been described in
the literature.[34,35] Briefly, the designed patterns
were printed on Whatman No. 1 filter paper via a XEROX Phaser 8560DN
wax printer. Then, patterned papers were kept in an oven at 150 °C
for 30 s to make the wax penetrate the printer completely. To carry
out the complex multistep operations, we used plastic comb binding
spines (PCBS) valves to control fluid’s transportation and
perform ELISA assay including antibody immobilization, sample dispensing,
and washing.
Paper-Based Chip ELISA Test
Human
serums were obtained
from three groups of people: SARS-CoV-2-infected group at an early
stage (4–10 days), late stage (14–27 days), and healthy
control group. Human serum antibodies (anti-RBD-IgA, anti-RBD-IgM,
and anti-RBD-IgG) were detected. First, 5 μL of 0.25 mg/mL of
chitosan was added to every hydrophilic immuno-zone (circle shape)
and dried at room temperature. Then, 5 μL of 2.5% of glutaraldehyde
dissolved in phosphate-buffered saline (PBS) (pH = 7.4) was added
to each immuno-zone. After 2 h of reaction, immuno-zones were washed
with 10 μL of ddH2O three times. Next, 5 μL
of RBD (diluted to 2 μg/mL) was added to immuno-zones at room
temperature. After 30 min, immuno-zones were washed with 10 μL
of PBS three times through PCBS valves. Then, 5 μL of 0.5% bovine
serum albumin (BSA) dissolved in PBS (pH = 7.4) was added to immuno-zones
at room temperature to block the nonspecific binding sites. Immuno-zones
were washed three times with PBS 20 min later. After that, 5 μL
of anti-RBD antibody standards and human serums were added to immuno-zones
at room temperature. Anti-RBD antibodies (IgA/IgM/IgG) were double-diluted
from 100 to 0 ng/mL as standards (100, 50, 25, 12.5, 6.25, 0 ng/mL).
Human serums were diluted 1:100 (healthy people and infected patients)
with PBS before adding into the immuno-zones. After 30 min, immuno-zones
were washed three times with PBS. Next, 5 μL of second antibodies
specific binding to anti-RBD IgA (500 ng/mL), anti-RBD IgM (500 ng/mL),
or anti-RBD IgG (500 ng/mL) was added to immuno-zones at room temperature
in the dark. After 30 min, the immuno-zones were washed three times
with PBS. As second antibodies of IgA and IgM were labeled with HRP,
while IgG second antibody did not, 5 μL of HRP-labeled IgG third
antibody (500 ng/mL) was added to immuno-zones at 4 °C in the
dark and washed after 30 min. After the second and third antibodies
were washed, 20 μL of TMB solution (3,3′,5,5′-tetramethylbenzidine,
substrate of HRP, double-diluted with PBS) was added to each sample
and reacted with HRP at room temperature in the dark. After 2 min
of chromogenic reaction, the paper-based chips were photographed by
a smart phone. Any type of smart phone with a good camera is usable.
Finally, the pictures were analyzed by ImageJ software, the gray values
of immuno-zones were obtained, and the concentrations of RBD antibodies
of the immuno-zones were calculated.
Production of RBD and RBD-Based
IgA/IgM/IgG Standards
RBD and anti-RBD antibodies (IgA/IgM/IgG)
were purified as described
previously.[36] Briefly, to make the recombinant
SARS-CoV-2 RBD, a leader sequence, a sequence encoding spike protein
RBD, and a human IgG1-Fc were fused together. This sequence was cloned
into pTT5 vector and then transiently transfected into HEK293F cells
through polyethylenimine. After 3 days, RBD was purified from cell
supernatant using protein A column (GE Healthcare). For purification
of RBD-based IgA/IgM/IgG, the antigen-immobilized affinity columns
were used. The purified RBD was coupled to agarose resin (CNBr-activated
Sepahrose 4B) according to the manufacturer’s protocols (GE
Healthcare), packed into an empty column. Next, the antibody standards
were purified from patients’ serums. Briefly, ammonium sulfate
powder was added to the serums and dissolved. After centrifugation,
resuspension, and filtration, the patient’s serum samples were
loaded onto an RBD-Fc affinity column and eluted by linear gradient
of elution buffer. The RBD-specific IgG, IgM, and IgA were then purified
using a protein G column and further verified by sodium dodecyl sulfate-polyacrylamide
gel electrophoresis (SDS-PAGE) and mass spectrum.
Statistics
Statistics were calculated using Prism5
(GraphPad Software). Group comparisons were analyzed by a two-sided
Student’s t-test. A p <
0.05 was considered significant. Numbers of asterisks mean significant
difference (*p < 0.05; **p <
0.01; ***p < 0.001; ****p <
0.0001).
Results and Discussion
New Platform for SARS-CoV-2
Diagnosis and μPADs Fabrication
and Assembly
To diagnose SARS-CoV-2 infection in an efficient
and economical way, we designed a new platform as shown in Figure . This platform contains
a pulling-force spinning top and a μPAD (Figure S1). Because ELISA is a very popular and reliable assay
for SARS-CoV-2 detection, our platform used a combination of virus
RBD-specific IgA/IgM/IgG antibodies to increase the specificity and
sensitivity.
Figure 1
Schematic of the PFST-μPADs serological assay. (A)
Diagram
of PFST-μPADs for analyzing SARS-CoV-2. (B) Paper-based valve
device has two long-arm channels, (H, I, J, K, L, M and H′,
I′, J′, K′, L′, M′) channels, and
six circle reaction zones. (“OFF” state). (C) Rotate
long-arm PCBS valves of the paper-based device. (D) H, I, J, K, L,
M reservoirs connected to the six circle reaction zones. (E) Paper-based
valve device closed the long-arm channels (“ON” state),
and dyes flowed in the channels.
Schematic of the PFST-μPADs serological assay. (A)
Diagram
of PFST-μPADs for analyzing SARS-CoV-2. (B) Paper-based valve
device has two long-arm channels, (H, I, J, K, L, M and H′,
I′, J′, K′, L′, M′) channels, and
six circle reaction zones. (“OFF” state). (C) Rotate
long-arm PCBS valves of the paper-based device. (D) H, I, J, K, L,
M reservoirs connected to the six circle reaction zones. (E) Paper-based
valve device closed the long-arm channels (“ON” state),
and dyes flowed in the channels.We constructed a paper-based device based on PCBS valves with six
parallel channels to perform the ELISA reaction for the detection
of SARS-CoV-2. As shown in Figure B–E, the chip contains two layers and discontinuous
channels. The top layer comprises two long-arm papers, and each component
contains six channels. Like flipping calendar, through moving long-arm
component, the function of connection (ON state) or disconnection
(OFF state) could be achieved using this PCBS. Briefly, when the valves
are at an ON state, the long-arm paper can connect the middle circles
(second layers), which are the immuno-zones, and the liquid could
flow from H, I, J, K, L, M reservoirs to the H′, I′,
J′, K′, L′, M′ reservoirs, respectively.
In this situation, the residue in the immuno-zones could be washed
easily by capillary force (Video S1). Also,
at the OFF state, the immuno-zones disconnect from the long-arm paper
(Figure B–E).
Because ELISA reactions generally have multiple processes, such as
incubating different immuno-reagents, nonspecific-site blocking, multiple
washing, etc., the PCBS valves are very convenient for fast diagnosis
of SARS-CoV-2 at the place without medical equipment.
Isolating the
Serum from Blood by the PFST Method
As
the spinning top could rotate fast, we considered whether it could
be used to separate the human whole blood. The detailed pictures of
the spinning top are shown in Figure S2. Whole blood samples from healthy people were exposed from fingers
by disposable blood needles and siphoned into capillaries. The blood
capillary tube has an outer diameter of 1.4 mm, an inner diameter
of 0.6 mm, as well as 50 mm length. Blood was loaded into every capillary,
enough for all subsequent analyses on the μPADs. One end of
capillaries was sealed up by melting glue. Then, capillaries were
immediately fixed on the surface of spinning top by melting glue,
and the sealed end was against the center of spinning top while the
unsealed end was close to the center. About 20 μL of whole blood
in each capillary tube was separated by PFST. As expected, the volume
of serum obtained increased with the accumulated centrifugation time
and the amount of serum reached the plateau after 4–5 min (Video S2). The serum was taken out by a Hamilton
syringe on the upper layer of capillaries. The average amount of serum
collected from each centrifuge tube was about 8 μL, and this
quantity is enough for the following ELISA assays (Figure A). It is worth noting that
we also addressed the impact of different persons on the isolation
of serum in this system. Four different persons used the PFST method
to collect the serum from human blood; it took around 4–5 min
for the length of the serum to reach the plateau, indicating that
the PFST method is suitable for adults (Figure B). Accordingly, for the following experiments,
we selected a centrifugation time of 5 min.
Figure 2
Isolating the serum from
whole blood by the PFST method and optimization
of experimental parameters controlling the ELISA signals in the PFST-μPADs.
(A) Kinetics of red blood cells (RBC) and plasma separation. (B) Time
for four different persons to isolate the sera from whole blood samples
by PFST. Incubation time of anti-RBD-IgA (C), HRP-conjugated Ab (D),
and RBD (E), for variation of signal intensity. (F) Variation of signal
with different pH conditions (from 6.0 to 9.0) (n = 3).
Isolating the serum from
whole blood by the PFST method and optimization
of experimental parameters controlling the ELISA signals in the PFST-μPADs.
(A) Kinetics of red blood cells (RBC) and plasma separation. (B) Time
for four different persons to isolate the sera from whole blood samples
by PFST. Incubation time of anti-RBD-IgA (C), HRP-conjugated Ab (D),
and RBD (E), for variation of signal intensity. (F) Variation of signal
with different pH conditions (from 6.0 to 9.0) (n = 3).We only calculate the maximum
speed of the spinning top when it
is pulled for the first time and pulled once. If it is pulled continuously,
the spinning top will reach a higher speed. As shown in Figure S3, when the rope is pulled, the gear
transmission is triggered, and the spinning top has begun to rotate.
Therefore, the energy of the spinning top comes from pulling the rope.
If the friction is ignored, the kinetic energy theory can be obtainedwhere Winput is
the total pulling energy, ES is the kinetic
energy of rope, and A, B, C, and D represent the rope, gear A, gear
B, gear C, and the spinning top, respectively (Figure S3). Also, ES is the kinetic
energy of rope; EA, EB, and EC are the kinetic
energy of gear A, gear B, and gear C, respectively; and ED is the transmission kinetic energy of the spinning top.Therefore, we can obtain the following equationwhere Fmax is
the maximum pulling force of the rope under normal conditions, Ls is the rope length, ms is the mass of the rope, vs is
the instantaneous movement speed of the rope, I is
the moment of inertia of the gear, and ω is
the instantaneous angular velocity of the gear.If we regard
the gear to be similar to a cylinder, its moment of
inertia can be approximately calculated by the existing formulaAccording to the gear ratio formulawhere n is the number of
gear teeth. And after simplification, we can get the following formulaUsing a push–pull tester, the pulling
force was around 10 N.[9] Using various data
as shown in Table S1, we get the maximum
angular velocity of the first pullingThe approximate value of the theoretical maximum
speed that can be obtained for the first pull isIn fact, if the theoretical speed of the first
pulling can reach the speed that satisfies the need of centrifuging
serum, then after several pullings, the speed could meet the need
of serum separation.
Optimization of the Detection Conditions
As is well
known, ELISA performance on the paper chips is also highly related
to the parameters such as antigen/antibody incubation time, and pH
value. Therefore, we investigated the different incubation times of
primary antibody, HRP-labeled secondary antibody, and RBDs.The incubation time for the primary antibody and the HRP-labeled
secondary antibody (HRP-anti-IgA 500 ng/mL, and anti-RBD IgA 100 ng/mL)
was optimized. As displayed in Figure C,D, we observed that the intensity of signal production
of ELISA increased with longer incubation time, the intensity of anti-RBD
IgA (the prime antibody of IgA) stabilized after an incubation time
of 18 min, and the intensity of the HRP-labeled antibody for IgA stabilized
after 21 min. To determine the optimal incubation time for the RBD
antigen, we studied various incubation times ranging from 0 to 33
min. As shown in Figure E, the signals reached a plateau after an incubation time of 20 min.
Therefore, we selected 20 min as a preferred condition.Due
to the great influence of pH on the quality and intensity of
signal production in ELISA assay, we next examined different conditions
of wash buffer with pH value from 6.0 to 9.0. As shown in Figure F, the level of anti-RBD
IgA peaked at pH 7.4, while under other pH conditions, the detected
intensity signals were all lower than that. Based on this result,
we chose pH 7.4 as the standard elution condition for all of the assays
in this study. Similarly, under the best pH condition, incubation
times for the primary and secondary antibodies of anti-RBD IgM and
anti-RBD IgG were as same as that of anti-RBD IgA.
Analytical
Performance of PFST-μPADs
To characterize
the specificity and sensitivity of our μPADs, we performed our
ELISA immunoassay using the RBD-based IgA/IgM/IgG combination detection
system. Briefly, we used our purified recombinant RBD to capture SARS-CoV-2-specific
IgA, IgM, and IgG antibodies in patients’ serum. We collected
these patient-derived IgA/IgM/IgG and prepared our standard for IgA,
IgM, and IgG, which specifically recognize SARS-CoV-2. As our previous
report,[31] we showed 98.2 and 100% specificity
and sensitivity, respectively, in our fluorescence detection system,
which could detect the luminescent intensity by an automatic immuno-analyzer.
Due to the high cost of this apparatus, we planned to design a new
technology with a handy device, with no cost of the luminance machine.
To simplify this method, we used the HRP-catalyzed TMB–H2O2 solution to detect the immune reaction signal,
and the signal could be directly photographed by a smart phone. Then,
the color could be exchanged to intensity by an open-source tool (ImageJ
software). The analytical performance was assessed under optimal conditions
through the application of RBD-based IgA/IgM/IgG. Standard solutions
of anti-RBD IgA/IgM/IgG (0, 6.25, 12.50, 25.00, 50.00, 100.00 ng/mL)
were directly introduced to immune-zones on the paper-based chips.
As shown in Figure A–D, the signal (blue color) increased linearly with IgA,
IgM, or IgG concentration between 0 and 100.00 ng/mL. A simple linear
regression analysis yielded fits of y = 0.5339x + 4.251 (R2 = 0.975) for anti-RBD
IgA, y = 0.5141x + 0.192 (R2 = 0.956) for anti-RBD IgM, and y = 0.6944x + 3.871 (R2 = 0.966) for anti-RBD IgG, where y is the relative
intensity and x represents the protein concentration.
Figure 3
Calibration
standard curves for the determination of SARS-CoV-2
RBD-based IgA, IgM, and IgG on μPADs. (A–C) The insets
show the ELISA results with different IgA, IgM, and IgG concentrations
(100.00, 50.00, 25.00, 12.50, 6.25, 0 ng/mL) Simple linear regression
analysis for IgA, IgM, and IgG (n = 3). (D) Schematic
diagram of the anti-RBD IgA/IgM/IgG immunoassay procedure on the PFST-μPADs.
As second antibodies bound to anti-RBD IgA and anti-RBD IgM were labeled
with HRP, while those bound to anti-RBD IgG did not, HRP-labeled IgG
third antibody (called HRP-anti-anti-IgG) was added.
Calibration
standard curves for the determination of SARS-CoV-2
RBD-based IgA, IgM, and IgG on μPADs. (A–C) The insets
show the ELISA results with different IgA, IgM, and IgG concentrations
(100.00, 50.00, 25.00, 12.50, 6.25, 0 ng/mL) Simple linear regression
analysis for IgA, IgM, and IgG (n = 3). (D) Schematic
diagram of the anti-RBD IgA/IgM/IgG immunoassay procedure on the PFST-μPADs.
As second antibodies bound to anti-RBD IgA and anti-RBD IgM were labeled
with HRP, while those bound to anti-RBD IgG did not, HRP-labeled IgG
third antibody (called HRP-anti-anti-IgG) was added.To investigate the reliability of our μPADs, we performed
a conventional ELISA assay to compare the expression of RBD-based
IgA/IgM/IgG, the chemiluminescent intensities of which were detected
by a spectrophotometer with the absorbing wavelength at 450/595 nm.
As shown in Figure S4A–C, a very
similar pattern of the trend line (slope and R2) of anti-RBD IgA, IgM, and IgG was observed from μPADs
results. Based on these findings, we confirmed that the accuracy of
our μPADs with collecting the digital intensities by smart phone
was as good as the conventional ELISA assay detected by a BioTek SYNERGY
H1 microplate reader.
Detecting the Late Stage of SARS-CoV-2-Infected
Patient’s
Serums
To further evaluate the diagnostic accuracy of our
PFST-μPADs detection method, we measured RBD-based IgA/IgM/IgG
production from COVID-19-infected patients compared to healthy people.
We collected 55 serum samples from the First Affiliated Hospital of
University of Science and Technology of China, including 35 serum
samples from healthy people and 20 serum samples from qPCR-confirmed
SARS-CoV-2 patients with more than 14 days post-symptom onset (DPSO),
considered as late stage of the disease[37] (Table S2). According to the requirement
of the Medical Ethical Committee of the First Affiliated Hospital
of University of Science and Technology of China (approval number:
2020-XG(H)-014), to avoid the potential possibility of SARS-CoV-2
spread, all COVID-19-infected patients blood samples were centrifuged
at 1500 rpm in test tubes at room temperature for 15 min.Then,
denaturant solution (1% TNBP + 1% Triton X-100) was added to each
tube at 30 °C for 4 h to completely denature any potential viruses.
And we obtained these deactivated serums of COVID-19 patients. On
the other hand, we collected whole blood samples from 35 healthy people
and isolated their serums using our PFST method in our lab.To find the fitful conditions for the good range of serum samples
from healthy people and infected patients, we tested the different
dilution ratios of these serum samples and found that the intensity
of fluorescence showed no decrease up to 1:20 dilution, and the signals
of 1:100 dilution displayed 1/3 peak value (Figure S5A,B). We then choose 1:100 dilution in all of the experiments.
All samples were then measured by our paper-based anti-RBD IgA, IgG,
and IgM detection method. The results are shown in Figure A–C, with detailed numbers
in Table S3 as well. These three antibodies
bind to SARS-CoV-2 RBD viral antigen with high specificity, which
is consistent with our previous report.[31] Based on the immunological principle, only anti-RBD IgA/IgM/IgG
immunoglobin can recognize viral RBD, whereas other nonspecific IgA/IgM/IgG
immunoglobin in the serum cannot. As a result, we could define a threshold
line to clearly distinguish healthy people from SARS-CoV-2-infected
patients. The threshold lines were the same as our previous finding
through a chemical luminescent immuno-analyzer.[31] After calculations, the threshold lines for the RBD-based
IgA/IgM/IgG were 1.25, 0.5, and 1.25 μg/mL, respectively, with
the corresponding sensitivities of 100% (20/20), 95% (19/20), and
100% (20/20). For the analysis of clinical samples, the concentration
equal to or greater than a cutoff threshold was considered positive.
Moreover, the specificities of RBD-based IgA, IgM, and IgG for distinguishing
late-infected patients with healthy people were 100% (35/35), 94.3%
(33/35), and 100% (35/35), respectively. These results indicate that
both IgA and IgG display great sensitivity and specificity for diagnosing
late-infected people.
Figure 4
Serum antibody levels in SARS-CoV-2 late-infected patients
and
healthy people; 20 serums from infected patients and 35 serums from
healthy people were collected. Patient samples were collected from
14–27 days post-symptom onset. Antibody levels in serum samples
were detected on μPAD. For anti-RBD IgA (A), anti-RBD IgM (B),
and anti-RBD IgG (C), dash lines were considered as a boundary for
distinguishing the infected and healthy people. Data are representative
of three independent experiments: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
Serum antibody levels in SARS-CoV-2 late-infected patients
and
healthy people; 20 serums from infected patients and 35 serums from
healthy people were collected. Patient samples were collected from
14–27 days post-symptom onset. Antibody levels in serum samples
were detected on μPAD. For anti-RBD IgA (A), anti-RBD IgM (B),
and anti-RBD IgG (C), dash lines were considered as a boundary for
distinguishing the infected and healthy people. Data are representative
of three independent experiments: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
Detecting the Early Stage
of SARS-CoV-2-Infected Patient’s
Serums
As we observed the presence of a high level of RBD-specific
IgA in COVID-19 patients’ serums. It is well known that during
the virus infection, such as EV-71[38] and
influenza,[39] a high level of pathogen-specific
IgA has been produced. IgA is not only present in the serum of SARS[40] and COVID-19 patients,[30] but also produced by the immune system faster than IgG at the early
stage of the disease, suggesting the importance of IgA in immune responses
against viral infection.[32,33]Next, we explored
the sensitivity and specificity for these different antibodies at
earlier time points to examine whether our IgA/IgM/IgG combined method
is good enough for the diagnosis of COVID-19 patients at the early
stage of disease development. We collected 49 serum samples from the
First Affiliated Hospital of University of Science and Technology
of China, including 34 serum samples from healthy people and 15 serum
samples from qPCR-confirmed SARS-CoV-2 patients within 4–10
days post-symptom onset, considered as the early stage of the disease[36] (Table S4). As shown
in Figure , with detailed
numbers in Table S5, the corresponding
sensitivities of IgA, IgM, and IgG were 93.3% (14/15), 86.7% (13/15),
and 66.7% (10/15). The sensitivity of the IgA/IgM/IgG combination
is much higher than the traditional IgM/IgG combination (99.7% vs
95.6%). On the other hand, both IgA and IgG showed 100% (34/34) specificity
for detecting the SARS-CoV-2, while IgM only shows 91.2% (31/34) (Figure ). Together, IgA
test has less false positives, while IgG is not a good marker for
people at the early stage of the disease. For IgM, it displays 86.7%
sensitivity and 91.2% specificity, both lower than those of IgA.
Figure 5
Serum
antibody levels in early SARS-CoV-2-infected patients and
healthy people; 15 serums from infected patients and 34 serums from
healthy people were collected. Patient samples were collected from
4–10 days post-symptom onset. Antibody levels in serum samples
were detected on μPAD for anti-RBD IgA (A), anti-RBD IgM (B),
and anti-RBD IgG (C); dashed lines were considered as a boundary for
distinguishing the infected and uninfected people. Data are representative
of three independent experiments: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
Serum
antibody levels in early SARS-CoV-2-infected patients and
healthy people; 15 serums from infected patients and 34 serums from
healthy people were collected. Patient samples were collected from
4–10 days post-symptom onset. Antibody levels in serum samples
were detected on μPAD for anti-RBD IgA (A), anti-RBD IgM (B),
and anti-RBD IgG (C); dashed lines were considered as a boundary for
distinguishing the infected and uninfected people. Data are representative
of three independent experiments: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.To investigate the reliability
of our μPADs, we performed
a conventional ELISA assay to detect the levels of RBD-based IgA/IgM/IgG
by a microplate reader with the absorbing wavelength at 450/595 nm.
As shown in Figure S6A–C and Table S6, the sensitivities of RBD-based IgA, IgM, and IgG for the late-infected
cases were 100% (20/20), 95% (19/20), and 100% (20/20), respectively,
displaying an identical result compared to paper-based microfluidic
ELISA. Meanwhile, the specificities for the three antibodies were
all 100% (35/35). A very similar pattern of the early-infected group
was displayed (Figure S6D–F). Based
on these findings, we confirmed that the accuracy of our μPADs
with collecting the digital intensity by a smart phone was as good
as the conventional ELISA assay.To draw a full picture of the
effect of IgA/IgM/IgG combination,
we calculated all patients’ samples (both early and late infected)
and healthy people’s samples (Table ). In the strictest way, we regarded serum
samples as positive when any levels of IgA, IgM, or IgG over the detection
threshold. In this rule, IgA and IgG still showed 100% specificity
for healthy people, while IgM only shows 92.8% specificity. Because
of the existence of IgM, the specificity of IgA/IgM/IgG combination
detection is equal to that of IgM detection alone (92.8% vs 92.8%).
Table 1
Comparison of the Sensitivity and
Specificity of RBD-Specific IgA, IgM, and IgG as well as Three Different
Combinations for SARS-CoV-2 Diagnosis
anti-RBD IgA
anti-RBD IgM
anti-RBD IgG
anti-RBD IgA/IgG
anti-RBD IgM/IgG
anti-RBD IgA/IgM/IgG
sensitivity (late infected)
100% (20/20)
95% (19/20)
100% (20/20)
100%
100%
100%
specificity
(late infected)
100% (35/35)
94.3% (33/35)
100% (35/35)
100%
94.3%
94.3%
sensitivity
(early infected)
93.3% (14/15)
86.7% (13/15)
66.7% (10/15)
97.80%
95.6%
99.7%
specificity (early infected)
100% (34/34)
91.2% (31/34)
100% (34/34)
100%
91.2%
91.2%
sensitivity (total)
97.1% (34/35)
91.4% (32/35)
85.7% (30/35)
99.60%
98.8%
99.9%
specificity (total)
100% (69/69)
92.8% (64/69)
100% (69/69)
100%
92.8%
92.8%
Interestingly, if we choose IgA/IgG combination, the
specificity
is 100%, meaning no false-positive case during the diagnosis (Table ). As traditional
IgM/IgG combination diagnosis is widely used in clinical practice,
to avoid divergence and doubt, we still acknowledged the IgA/IgM/IgG
combination instead of IgA/IgG combination in the serological test.In the immune system, a large amount of various IgG exists in the
body to respond to various antigens. Therefore, we performed a 96-well
plate ELISA experiment to detect the concentration of total IgG in
the blood of patients as well as healthy people and calculated the
percentage of the anti-RBD IgG among total IgG (Figure S7 and Table S7). As the result shows, the total IgG
of the patients, especially early-infected patients, was very close
to the total IgG of the healthy people (Figure S7A,B). This result can explain why detecting of serum total
IgG always has limited accuracy. Furthermore, we found 0.156% of anti-RBD
IgG/total IgG in late-infected COVID-19 patients, 0.023% of anti-RBD
IgG/total IgG in early-infected patients, and no more than 0.007%
of anti-RBD IgG/total IgG in healthy people (Figure S7C,D and Table S7). This experiment proved that our strategy
greatly increased the detection sensitivity of SARS-CoV-2, compared
to other clinical ELISA assays examining on total IgG. Moreover, the
proposed method by pulling-force-assisted spinning top for blood–serum
separation and analysis on microfluidic chip achieved good performance
and showed good potential in home diagnosis.In summary, we
highly recommend anti-RBD IgA combined with anti-RBD
IgG/IgM method to increase the diagnostic accuracy of SARS-CoV-2 on
this microfluidic platform. It displays great diagnostic accuracy
for SARS-CoV-2 (99.9% sensitivity and 92.8% specificity). Therefore,
the use of RBD-specific IgA/IgM/IgG combinational serological test
as another solution provides an accurate diagnosis of SARS-CoV-2 on
this microfluidic platform.
Discussion
In
this study, we designed a portable PFST-μPAD platform.
This device not only shows great sensitivity and specificity for SARS-CoV-2
diagnosis but also provides a quantitative anti-RBD IgA/IgM/IgG detection
method in an instrument-free way. Recently, our IgA/IgM/IgM combination
diagnosis method is recommended by the Canadian Society of Clinical
Chemists (CSCC) interim consensus guidance.[41] More importantly, the novel microfluidic device that separates serum
from whole blood and provides quantitative IgA/IgM/IgG combined measurements
in a rapid, portable, and potential home diagnosis way. This platform
has multiple inherent advantages, such as low costs, small reagent
consumption, and no external medical machine needed. It is fit for
several application scenarios: (1) undeveloped countries’ medical
centers, which do not have expensive apparatus; (2) diagnose at developed
countries’ community clinic to avoid the cross-infection in
the crowded hospital; and (3) provide a potential home diagnosis possibility
for people who have the experience to take their own blood.It is well known that IgA is greatly induced during the virus infection,
such as EV-71[38] and influenza.[39] During the SARS-CoV-2 infection, we previously
found IgA and IgM appeared at the early illness onset, while IgG usually
emerged 14 days after the onset of symptoms.[31] We proved the combination of the RBD-based IgA/IgM/IgG giving better
diagnosis results compared with the traditional IgM/IgG methods. These
come from two immunological principles: one is RBD-specific IgA/IgM/IgG
can improve the accuracy due to its specific recognition of viral
RBD, and the other is IgA can be detected both in early and late stages
of the disease, while IgG cannot be detected. These data are consistent
with another finding that the IgM and IgG combinatorial detection
of SARS-CoV-2 displayed low accuracy for the early stage (1–7
days) and higher accuracy (96.8%) at the late stage (>15 days).[42] Although IgM appears as early as IgA, the sensitivity
of IgM for early illness is not accurate compared to IgA diagnosis
(Figure ). This may
explain why traditional IgM/IgG diagnosis is not accepted by the clinical
validation of the COVID-19 patients.Among 20 PCR-confirmed
positive patients at the late stage of the
disease and 15 early onsets, we achieved 97.1% sensitivity and 100%
specificity by anti-RBD IgA detection itself. Other studies also showed
the good performance of IgA detection.[43,44] Thus, we identified
that IgA/IgM/IgG combination brought 99.7% sensitivity for patients
at early illness onset compared with traditional IgM/IgG diagnosis,
only displaying 95.6% sensitivity (Table ).This study also has some limitations,
a major limitation is a low
number of patients, and especially we only collect 15 early-onset
patients’ samples. Second, as is well known, COVID-19 is a
virulent infectious disease, serum inactivation is necessary to prevent
the potential risk of infection. We had to obey the requirement of
the Medical Ethical Committee of the First Affiliated Hospital of
University of Science and Technology of China (approval number: 2020-XG(H)-014
and 2020-p-060), otherwise this study would not be approved. Thus,
we only separated the serum from healthy people by the PFST method,
not for that from infected people. Finally, to get high-quality results
at home by people themselves, it requires these persons to have a
basic skill of operating ELISA assay. That is why, we considered our
study not only designed a potential home diagnosis method but also
provided a new solution for the community clinics, which did not have
expensive equipment. Also, the cost of this paper-based microfluidic
ELISA assay is cheaper than conventional ELISA because only 5 μL
of samples or reagents need to be loaded compared with 50 μL
volume for conventional ELISA.Since the appearance of SARS-CoV-2,
some rapid detection diagnosis
methods were developed,[35,45] including Cas13-based
technique,[46] DNA nanoscaffold-based assay,[47] lateral flow immunoassay,[48] chest CT scan combining a series of X-ray images,[49] and multiplexed nanomaterial-based sensor array,[50] but all of these methods neither require an
expensive analyzer nor provide quantitative results. Our PFST-μPAD
method provides a solution for people to isolate their samples and
detect a bio-marker of SARS-CoV-2 in a very convenient and portable
way without any clinical apparatus, which makes home diagnosis achievable
and available. Moreover, our detection system shows high specificity
and sensitivity to SARS-CoV-2 infection, indicating that the PFST-μPAD-based
detection of anti-RBD IgA/IgM/IgG might be a fast, cheap, and facile
way for SARS-CoV-2 diagnosis.
Conclusions
In summary, we reported
a novel and handy way to isolate the serum
from whole blood by the PFST method and detect the RBD-based IgA/IgM/IgG
concentrations by μPADs. It provides an affordable, rapid, and
user-friendly way to the diagnosis of COVID-19 in a microfluidic format.
By the combination of the viral RBD-specific antibodies (anti-RBD
IgA/IgM/IgG), our methods displayed great sensitive and quantitative
serological results. It is worth noting that our PFST-μPADs
system can also be used for the diagnosis of COVID-19 patients both
at the early and late stages of the disease. Moreover, no need for
the clinical apparatus and low cost of the portable device give a
new solution for both developed and undeveloped countries to monitor
the spread of the COVID-19 disease in a potential home diagnosis pattern.
Authors: Mohammed S Alqahtani; Mohamed Abbas; Mohammed Abdulmuqeet; Abdullah S Alqahtani; Mohammad Y Alshahrani; Abdullah Alsabaani; Murugan Ramalingam Journal: Materials (Basel) Date: 2022-07-21 Impact factor: 3.748