Guoqiang Liu1,2, James F Rusling2,3,4,5. 1. Medical College, Jiaxing University, 118 Jiahang Road, Jiaxing, Zhejiang Province, China. 2. Department of Chemistry, University of Connecticut, 55 North Eagleville Road, Storrs, Connecticut 06269, United States. 3. Department of Surgery and Neag Cancer Center, UConn Health, Farmington, Connecticut 06232, United States. 4. Institute of Materials Science, University of Connecticut, 97 North Eagleville Road, Storrs, Connecticut 0626, United States. 5. School of Chemistry, National University of Ireland Galway, University Road, Galway, Ireland.
Abstract
COVID-19, caused by the SARS-CoV-2 virus, has developed into a global health crisis, causing over 2 million deaths and changing people's daily life the world over. Current main-stream diagnostic methods in the laboratory include nucleic acid PCR tests and direct viral antigen tests for detecting active infections, and indirect human antibody tests specific to SARS-CoV-2 to detect prior exposure. In this Perspective, we briefly describe the PCR and antigen tests and then focus mainly on existing antibody tests and their limitations including inaccuracies and possible causes of unreliability. False negatives in antibody immunoassays can arise from assay formats, selection of viral antigens and antibody types, diagnostic testing windows, individual variance, and fluctuation in antibody levels. Reasons for false positives in antibody immunoassays mainly involve antibody cross-reactivity from other viruses, as well as autoimmune disease. The spectrum bias has an effect on both the false negatives and false positives. For assay developers, not only improvement of assay formats but also selection of viral antigens and isotopes of human antibodies need to be carefully considered to improve sensitivity and specificity. For clinicians, the factors influencing the accuracy of assays must be kept in mind to test patients using currently imperfect but available tests with smart tactics and realistic interpretation of the test results.
COVID-19, caused by the SARS-CoV-2 virus, has developed into a global health crisis, causing over 2 million deaths and changing people's daily life the world over. Current main-stream diagnostic methods in the laboratory include nucleic acid PCR tests and direct viral antigen tests for detecting active infections, and indirect human antibody tests specific to SARS-CoV-2 to detect prior exposure. In this Perspective, we briefly describe the PCR and antigen tests and then focus mainly on existing antibody tests and their limitations including inaccuracies and possible causes of unreliability. False negatives in antibody immunoassays can arise from assay formats, selection of viral antigens and antibody types, diagnostic testing windows, individual variance, and fluctuation in antibody levels. Reasons for false positives in antibody immunoassays mainly involve antibody cross-reactivity from other viruses, as well as autoimmune disease. The spectrum bias has an effect on both the false negatives and false positives. For assay developers, not only improvement of assay formats but also selection of viral antigens and isotopes of human antibodies need to be carefully considered to improve sensitivity and specificity. For clinicians, the factors influencing the accuracy of assays must be kept in mind to test patients using currently imperfect but available tests with smart tactics and realistic interpretation of the test results.
The coronavirus disease 2019 (COVID-19) was first identified in December 2019 in Wuhan,
China, and rapidly spread across the globe to cause a pandemic. The World Health
Organization (WHO) declared the outbreak a Public Health Emergency of International Concern
on 30 January 2020 and a pandemic on 11 March. As of 27 January 2021, more than 100 million
cases of COVID-19 have been reported in more than 188 countries and territories, resulting
in more than 2 million deaths, according to the Center for Systems Science and Engineering
at Johns Hopkins University.COVID-19 is caused by the novel severe acute respiratory syndrome–coronavirus 2
(SARS-CoV-2),[1−3] which is an enveloped virus
with a positive-sense, single-stranded RNA genome, containing four main structural proteins
known as spike (S), envelope (E), membrane (M), and nucleocapsid (N), along with
nonstructural open reading frames, named ORF1a/b, ORF3, ORF6, ORF7a/b, ORF8, and ORF9b
(Figure ). The ORF1a/b comprises 15
nonstructural proteins (NSP1–10, 12–16) including RNA-dependent RNA polymerase
(RdRp, NSP12).[4] The trimeric S protein is composed of a highly conserved
C-terminal S2 subunit and a less conserved N-terminal S1 subunit. There is a
receptor-binding domain (RBD) on S1 subunit, which mediates coronavirus entering host
cells.[5] The dimeric N protein has two distinct RNA-binding domains, the
N-terminal domain (NTD) and the C-terminal domain (CTD), which is thought to bind with viral
RNA genome probably by electrostatic interactions.[6]
Figure 1
Schematic diagram of SARS-CoV-2 virus structure (A) and genome organization (B).
Reprinted with permission from ref (7). Copyright
(2020) Frontiers Media S.A.
Schematic diagram of SARS-CoV-2 virus structure (A) and genome organizatioene">n (B).
Reprinted with permissioene">n from ref (7). Copyright
(2020) Froene">ntiers Media S.A.
In this Perspective, we briefly describe the main PCR and antigen tests designed to detect
active COVID-19 disease. We then turn to our main focus to antibody assays and arrays,
driven by the many reports of inaccuracies in antibody assays in the popular press. We
describe existing antibody tests and their limitations including false positives and
negatives and the many possible causes of unreliability.
Current Diagnostic Methods for COVID-19
As of 27 January 2021, there are at least 420 nucleic acid tests (NATs) including 4 next
generation sequencing (NGS)-based detection, 179 immunoassays for antigens, 432 immunoassays
for antibodies including 8 for neutralizing antibodies, and 1 immunoassay for simultaneous
antigen and IgM/IgG that are either commercially available or in development for the
diagene">nosis of COVID-19, according to Foundation for Innovative New Diagnostics (FIND) (https://www.finddx.org/covid-19/pipeline/), a WHO collaborating center for
laboratory strengthening and diagnostic technology evaluation. Besides the above main-stream
assays, there are also other tests, such as one immunoassay for cytokines for research use
only, one test for white blood cell morphology and ratios, and one test for breath volatile
organic compounds in development (https://www.finddx.org/covid-19/pipeline/).
NATs
Currently, NATs or molecular biology tests, as the most quickly established laboratory
diagnostic method in a novel viral pandemic, are the gold standard clinical diagnostic
methods for COVID-19 detection. Many types of NATs have been developed to detect the
unique genetic material of SARS-CoV-2 in specimens, including reverse transcription
polymerase chain reaction (RT-PCR),[8−12]
reverse transcription loop-mediated isothermal amplification
(RT-LAMP),[13−18] droplet digital PCR
(ddPCR),[19−21] CRISPR related
technology,[22−25] sequencing,[26−28] and biosensors.[29−33] To
date, primers-probe sets for NATs have been designed to target the
ORF1a,[13,17,34] ORF1b,[8] ORF1ab,[9,16] Nsp2,[35] Nsp3,[18] RdRp,[10,11,14,36−39]
S,[2,16,18,36,38,40]
E,[10,11,41] M,[40] and N[8−10,12,15,17,18,38,42] genes. WHO listed a
summary of available protocols of molecular assays to diagnose COVID-19.[43]However, NATs have reportedly suffered from a high false-negative
rate,[44,45] which
was estimated to drop from 38% (confidence interval, CI, 18% to 65%) on the day of symptom
onset to 20% (CI, 12% to 30%) 3 days post symptom onset (DPSO) and then to increase to 66%
(CI, 54% to 77%) 16 DPSO.[46] The results may be influenced by improper
sample types,[47,48]
sampling time,[49−51] viral
mutation,[52,53]
interindividual variance,[54,55] intraindividual fluctuation,[56,57] inadequate handling, improper storage, and
transportation of samples.[58] Moreover, the detection window for NATs is
narrow in accordance with the fact that the positive rate of NAT, especially in upper
respiratory tract specimens, declined sigene">nificantly during the immunological phase of
illness.[46] Iene">n addition, the overall throughput of available RNA tests
is highly limited by their nature of requiring high workload, skilled personnel for
testing and sample collection, special reagent kits, costly centralized infrastructure,
and professional biosafety level (BSL)-2 lab.[59] Different from
conventional RT-PCR relying on thermal cycling which takes a long turnover time from 4 h
up to 3 days,[60,61]
novel assays, such as Sherlock CRISPR SARS-CoV-2 kit (Sherlock Biosciences), SARS-CoV-2
RNA DETECTR Assay (Mammoth Biosciences), and the ID Now technology (Abbott Diagnostics)
based on isothermal amplification, can give results in 1 h or even several minutes.
Readers are directed to previous reviews[62−73] for more discussion on this topic.
Direct Antigen Tests
These tests may not be as reliable as NATs, due to clinical performance influenced not
only by sample types, sampling time, inadequate handling, improper storage, and
transportation but also by cross-reactivity in the immunoassay. Iene">n addition, direct
antigen tests have a similar narrow detection window to NATs. Rapid antigen tests such as
lateral-flow immunoassays (LFIA) or immunochromatographic (ICG)
assays[74−77] and microfluidic immunoassays,[78] which
have the advantage of low cost, short turnaround time, and convenience without the need of
sophisticated instruments, have been developed to detect the virus in respiratory samples.
But these tests alone are not recommended for an initial COVID-19 diagnosis because their
poor clinical or diagnostic sensitivity, i.e. the ratio of true positive/(true positive +
false negative), have been reported as 30.2% (32/106),[76] 50%
(47/94),[75] and 57.6% (76/132).[74] A
chemiluminescence immunoassay (CLIA) for antigen showed a clinical sensitivity of only
55.2% (173/313).[79]
An ultrasensitive enzyme-linked immunosorbent assay (ELISA) coupled with
thio-nicotinamide adenine dinucleotide (NAD) cycling was reported with a limit of
detection (LOD) of 2.3 × 10–18 mol/assay for SARS-CoV-2 S
protein.[80] Thio-NAD cycling in this strategy is achieved using
alkaline phosphatase, androsterone derivative
(17β-methoxy-5β-androstan-3α-ol 3-phosphate), and
3α-hydroxysteroid dehydrogenase (3α-HSD) and its coenzymes (NADH and
thio-NAD). During this cycling reaction, thio-NADH accumulates in a triangular-number
fashion, which is measured at an absorbance of 405 nm (Figure ). This ultrasensitive method may play a significant role if it can
be commercialized, but its clinical specificity, i.e. the ratio of true negative/(true
negative + false positive), needs to be independently validated with enough samples
outside the lab.
Figure 2
Ultrasensitive ELISA coupled with Thio-NAD cycling for SARS-CoV-2. Reprinted with
permission from ref (80). Copyright (2020) MDPI
(Basel, Switzerland).
Ultrasensitive ELISA coupled with Thio-NAD cycling for n class="Species">SARS-CoV-2. Reprinted with
permission from ref (80). Copyright (2020) MDPI
(Basel, Switzerland).
A portable, ultrarapid (3 min), ultrasensitive (LOD of 1 fg/mL) cell-based biosensor was
developed for the detection of the SARS-CoV-2 S1 spike protein antigen.[81] The binding of the SARS-CoV-2 S1 protein to its specific antibody, which is engineered
on the membrane of Vero cell by electroinserting, results in a change of bioelectric
properties of the cell measured by a bioelectric recognition assay. The biosensor can be
further coupled with a portable read-out device operated via smartphone or tablet into a
ready-to-use platform, which can be potentially applied for the mass screening of
SARS-CoV-2 surface antigens without prior sample processing. Manufacturing of engineered
cells may be a limitation.A highly sensitive label-free field-effect transistor biosensor device was developed
where SARS-CoV-2spike antibody was conjugated onto a graphene sheet via 1-pyrenebutyric
acid N-hydroxysuccinimide ester.[82] SARS-CoV-2spike
protein was detected based on conductance changes after antigen–antibody binding.
LODs were reported as 1 fg/mL in phosphate-buffered saline and 100 fg/mL in clinical
transport medium for SARSCoV-2 spike protein, 16 pfu/mL in culture medium, and 242
copies/mL in clinical samples for SARS-CoV-2 virus. No sample pretreatment or labeling was
required for assays. Cross-reactivity was only evaluated with MERS-CoV antigen, and the
clinical performance needs to be validated further. An electrochemical immunosensor
combining magnetic beads with carbon black-based screen-printed electrodes was developed
for rapid detection (30 min) of SARS-CoV-2 S or N protein.[83] The LODs
in untreated saliva were reported as 19 ng/mL for S protein and 8 ng/mL for N protein.
Preliminary assessment showed an agreement in 22/24 samples with RT-PCR and no
cross-reactivity with seasonal influenza virus A (H1N1) and 2009 influenza virus pH1N1.
Further validation is needed.
Antibody Tests
Although they do not confirm the presence of active virus, antibody tests have some
impressive advantages in comparison with NATs and antigen tests. These include a much longer
detection window, operator ease and safety to collect blood rather than respiratory samples,
stability of human antibodies compared to viral RNA during sample collection, preparation,
transport and storage,[84] and more uniform distribution of antibodies in
blood than virus in respiratory samples which may cause false negative results in
NATs.[85] Antibodies can also be detected successfully in saliva in
addition to blood.[86] Also, these tests do not require BSL-2
laboratories.Antibody tests can play a supplementary but indispensable role in (1) diagnosis of
suspected cases with negative viral RNA test or past COVID-19infection;[64,87,88] (2) surveillance and epidemiological assessment at a population
level[89−91] from which the true case
fatality rate can be determined and according to which medical resource can be distributed;
(3) monitoring immune responses to assess the course, degree, and durability of
immunity;[61,92−94] (4)
identifying potential convalescent plasma donors;[95,96] (5) therapeutic antibody development and
evaluation;[97−100] (6) vaccine development and
evaluation;[87,101,102] and (7) contact tracing to figure out the subsequent
chains of events and define clusters of cases.[103]Both neutralizing and binding antibodies can be targeted for detection. The former bind to
a specific part of a pathogen and have been observed in a laboratory setting to decrease
SARS-CoV-2 viral infection of cells. The latter, binding or non-neutralizing antibodies,
such as immunoglobulins (Ig), bind specifically to the pathogens but do not interfere with
their infectivity. Binding antibodies signal the presence of a pathogen in the body, while
neutralizing antibodies block the entry of a pathogen into a cell. IgM is considered an
indicator of early stage infection, while IgG is an indicator of current or prior
infection.[87] IgA and IgM can persist in the body for about 2 months
while IgG can last for more than 3 months.[93,104] Although some individuals maintained neutralizing antibody
titers >1000 at >60 DPSO, others had detectable neutralizing antibody titers over only
a relatively short period (less than 40 DPSO).[104]
Neutralization Assays
These are standard methods for coronavirus serology in blood serum[105,106] and can function as reference
methods to evaluate the diagene">nostic performance of binding antibody tests.[107] Plaque reductionneutralization tests (PRNT) take advantage of
virus–antibody interactions in a test tube or microtiter plate to measure antibody
effects on viral infectivity in virus-susceptible cells. Briefly, serial dilutions of
serum sample or antibody solution to be tested are incubated with a standardized amount of
virus. The resulting immune complexes are then added to the virus-susceptible cell
monolayer. Then the cells are covered with a semisolid medium that prevents the virus from
spreading indiscriminately. After several days for incubation, plaques can be visualized
by fluorescent antibodies or specific dyes. PRNT end-point titers are expressed as the
reciprocal of the last serum dilution showing the desired percent reduction in plaque
counts.[108,109]
Although PRNT is considered the “gold standard” for detecting and measuring
neutralizing antibodies, intensive labor and time (3–7 days) as well as not being
readily amenable to automate makes it difficult to use on a large scale.
Microneutralization (MN) assays usually detect the viral antigens in virus-infected cells
in microtiter plates in combination with an ELISA, which can yield results within two
days. Briefly, serially diluted sera are preincubated with a standardized amount of virus
prior to the addition of host cells. After an overnight incubation, the cells are fixed in
the microtiter plate and the presence of viral antigens ininfected cells is detected by
ELISA. The detection of viral antigens indicates the absence of neutralizing antibodies at
that serum dilution.[110,111] MN assays measure neutralizing antibodies in an automated,
high-throughput, and more objective way.[112]But both PRNT and MN tests usually require viral culture growth that needs to be
conducted in a BSL-3 laboratory. The pseudovirus neutralization assay, in which the
SARS-CoV-2 protein is grafted onto harmless viruses or virus-like particles, is safer and
more high-throughput and can be done in BSL-2 facilities.[113,114]Recently, a surrogate virus neutralization test (sVNT) without the need for any live
virus or cells that can be completed in 1–2 h in a BSL-2 laboratory was
developed.[115] Briefly, anti-SARS-CoV-2 neutralizing antibodies block
horseradish peroxidase (HRP)-conjugated receptor binding domain (RBD) protein from binding
to the angiotensin-converting enzyme 2 (ACE2) protein precoated on an ELISA plate (Figure ). It reportedly achieves 100% (200/200)
specificity and 98% (49/50) −98.9% (173/175) sensitivity at the final serum
dilution of 1:20. Its commercial product, i.e. the cPass SARS-CoV-2 Neutralization
Antibody Detection Kit (GenScript USA Inc.), has been given Emergency Use Authorization
(EUA) by the US FDA recently (https://www.fda.gov/media/143583/download). However, its clinical performance
still requires independent third-party assessment. Another question is whether the
interaction between binding antibodies and HRP-conjugated RBD may also block
HRP-conjugated RBD from binding to ACE2, which may cause potential false positives in
neutralization assays.
Figure 3
Principle of the SARS-CoV-2 sVNT without (A) and with (B) neutralizing antibody.
Principle of the SARS-CoV-2 sVNT without (A) and with (B) neutralizing antibody.
Binding Antibody Tests
These are usually in the form of sandwich immunoassays and are used more widely than the
neutralization assays. Various binding antibody assays have been developed to detect
immunoglobulins IgA, IgM, and IgG in blood against immunogenic proteins of SARS-CoV-2,
including ELISA,[2,105,106,116−118] LFIA or ICG
assay,[61,119−127] CLIA with enzyme[128,129] or nonenzyme
labels,[92,130]
electrochemiluminescence immunoassay (ECLIA),[131] fluorescence
immunoassay (FIA),[86] protein microarrays,[132−135]
biosensors,[136,137]
and immunofluorescence assays (IFA).[138−140]As an example of lateral flow sensing, the WANTAI SARS-CoV-2 Ab Rapid Test (Beijing
Wantai Biological Pharmacy Enterprise Co., Ltd.) employs a chromatographic lateral flow
sensor device in a cassette format. Briefly, colloidal gold conjugated recombinant
receptor binding domain (RBD) antigens of SARS-CoV-2 are dry-immobilized at the end of a
nitrocellulose membrane strip. After the sample is added, SARS-CoV-2 antibodies migrate
driven by capillary action and bind with the gold-conjugated antigens. The complexes
continue to migrate along the strip until reaching the Test Zone where they are captured
by the SARS-CoV-2 RBD antigens to generate a visible red line due to the aggregated gold
particles. Unbound gold-conjugated particles continue to migrate until the Control Zone
where they are captured by antibodies to induce the control red line, which indicates the
validity of the sensing (Figure ). However, the
antigen-binding sites of antibodies in samples may be occupied by the gold conjugated
recombinant RBD antigens and thus cannot be captured by the RBD antigen immobilized in the
Test Zone, which may lead to false negative results (Figure C). This rapid test was reported with a sensitivity of 97.5%
(78/80) and specificity of 95.2% (199/209) by Lou et al.,[61] but poor
sensitivities of 4% (2/49), 52% (12/23), and 65% (13/20) were also reported using samples
from three medical institutions.[141] Besides the general colloidal gold
nanoparticles, Eu(III) fluorescent microspheres[142] and quantum
dots[143] have also been used in immunochromatographic assays to detect
SARS-CoV-2 specific antibodies.
Figure 4
Principles of WANTAI SARS-CoV-2 Ab Rapid Test.
Principles of WANTAI SARS-CoV-2 Ab Rapid Test.WANTAI SARS-CoV-2 Ab ELISA (Beijing Wantai Biological Pharmacy Enterprise Co., Ltd.) is a
novel commercial ELISA kit developed inpolystyrene microwell strips based on a
double-antigen sandwich immunoassay. Briefly, the antibodies in a patient’s serum
or plasma samples are captured by recombinant RBD antigen of SARS-CoV-2 immobilized in
polystyrene microwells. Then HRP-labeled recombinant RBD antigen conjugate is added and
bound to the antibody–protein complex inside the wells. After removing the unbound
reagents by washing, colorless substrate reagent solution is added and catalyzed by HRP
into a blue product, which turns yellow and is detected after the reaction is stopped with
sulfuric acid (Figure A). However, the
antigen-binding sites of antibodies in samples may be occupied only by the RBD antigen
immobilized in polystyrene microwells and thus could not bind with HRP-RBD conjugate,
which may reduce the sensitivity (Figure A).
This assay was validated with a sensitivity of 97.5% (78/80)[61] and 98%
(98/100)[144] and specificity of 100% (300/300),[61]
but in another report the sensitivity reached only 62% (59/95) in total patients and 79%
(38/48) in patients with at least 7 days of symptoms.[145]
Figure 5
Principles of WANTAI SARS-CoV-2 Ab ELISA (A), Abbott SARS-CoV-2 IgG assay (B), and
Elecsys Anti-SARS-CoV-2 ECL immunoassay (C).
Principles of WANTAI SARS-CoV-2 Ab ELISA (A), Abbott n class="Species">SARS-CoV-2 IgG assay (B), and
Elecsys Anti-SARS-CoV-2 ECL immunoassay (C).
A two-step chemiluminescent microparticle immunoassay (CMIA) also called magnetic
particle-based chemiluminescent immunoassay (MCLIA), i.e. the Abbott SARS-CoV-2 IgG assay
(Abbott Diagene">nostics), was given EUA by the FDA for qualitative detection of IgG inhuman
serum or plasma against the SARS-CoV-2 N protein. Briefly, antibodies to SARS-CoV-2 in the
sample are captured by paramagnetic microparticles coated with SARS-CoV-2N antigen, which
are then bound by acridinium-labeled antihuman IgG. After adding Pre-Trigger and Trigger
Solutions, chemiluminescence is generated and measured by ARCHITECT i1000SR and i2000SR
measurement systems, or other authorized instruments (Figure B). The sensitivity of this assay from the estimated day of symptom
onset for 125 patients was 96.9% (95% confidence interval [CI], 89.5% to 99.5%) at 14
days, and 100% (95.1% to 100%) at 17 days.[146] But 42% (217/511)
positive samples detected by this kit were negative by an in-house ELISA,[147] and insufficient positive rates of 8.8% for <7 DPSO, 40.5% during
7–13 DPSO, 81.0% during 14–20 DPSO, and 84.4% for ≥21 DPSO were also
reported.[148]
The Elecsys Anti-SARS-CoV-2 ECL immunoassay (Roche Diagene">nostics) utilizing a
double-antigen sandwich test principle on Cobas E analyzers (Roche Diagene">nostics) was
authorized as EUA by the FDA for in vitro qualitative detection of total antibodies to
SARS-CoV-2 N protein in human serum and plasma.[131] Briefly, sample,
biotinylated SARS-CoV-2-specific recombinant N antigen and SARS-CoV-2-specific recombinant
N antigen labeled with ruthenium(II) tris(2,2′-bipyridyl) complex are mixed to form
a sandwich complex, which then binds to streptavidin-coated magnetic microparticles via
interaction of biotin and streptavidin. This reaction mixture is magnetically captured
onto the surface of an electrode in the measuring cell. After removal of unbound
substances and addition of coreactant, application of a voltage to the electrode induces
chemiluminescent emission that is measured by a photomultiplier (Figure
C). In some cases, the antigen-binding sites of antibodies in
samples may be occupied either only by the biotinylated N antigen or only by the
ruthenium–N antigen complex, which may decrease sensitivity (Figure C). This ECL immunoassay was validated with a
sensitivity of 99.5% (184/185) after 14 days post-PCR confirmation and specificity of
99.8% (10432/10453) while insufficient positivity rates were separately reported as 10.0%
<7 DPSO, 37.8% during 7–13 DPSO, 85.7% during 14–20 DPSO, 90.6%
≥21 DPSO,[148] 46.0% (17/37) during 1–10 DPSO, 79.0%
(30/38) for >10 DPSO,[149] 68.8% for <15 DPSO, 85.7% during
16–20 DPSO, and 88.9% for >20 DPSO.[150]
An ultrasensitive Single Molecule Array (Simoa), also known as digital ELISA, was used to
detect IgG, IgM, and IgA simultaneously.[151] Briefly, four viral targets
(S, S1, RBD, and N) are covalently immobilized on four types of 2.7 μm carboxylated
paramagnetic beads encoded with four dyes (absorbed at 488, 647, 700, and 750 nm),
respectively. IgG, IgM, or IgA in human samples are captured by the antigen-conjugated
beads. After washing, beads are introduced to biotinylated antihuman immunoglobulin
antibodies and streptavidin-β-galactosidase (enzymatic probe) in sequence. After
washing, the beads are resuspended in resorufin β-d-galactopyranoside (substrate of
enzymatic probe) and loaded into femtoliter-volume well arrays on the Simoa HD-X Analyzer
(Quanterix). The femtoliter-volume wells are designed to hold only a single bead. After
isolating the beads in the femtoliter-volume wells, the microwell array is sealed with oil
and imaged in five optical channels. A sensitivity of 99% and specificity of 99% for the
validation set were reported at both early and late stages using the models created on the
training set. This Simoa assay relies on the special arrays of tiny wells about 50 fL (4.5
μm diameter and 3.25 μm depth)[152] or 40 fL (4.25 μm
diameter and 3.25 μm depth)[153,154] designed to hold only a single bead of 2.7 μm diameter (Figure ). A drawback of this assay is that the
measuring Simoa instrument (Quanterix) costs more than $200,000.
Figure 6
Digital ELISA (Simoa) based on the detection of single immunocomplexes in arrays of
femtoliter wells. Reprinted with permission from ref (155). Copyright (2020) Elsevier B.V.
Digital ELISA (Simoa) based on the detection of single immunocomplexes in arrays of
femtoliter wells. Reprinted with permission from ref (155). Copyright (2020) Elsevier B.V.A multiplex fluorescence immunoassay (FIA) aided with magnetic microparticles was
developed to detect IgG, IgA, and IgM against SARS-CoV-2. Briefly, SARS-CoV-2 RBD and
ectodomain (ECD) protein containing the S1 and S2 subunits of the S protein, S1, S2, and N
proteins along with SARS-CoVN antigen and humancoronavirus-229E ECD antigen are
individually coupled to magnetic microparticles in microplate wells. The antibodies in
saliva or serum are captured by the antigen on the microparticles. After incubation,
R-phycoerythrin-labeled antihuman IgG, IgA, or IgM is added to form the sandwich complex.
Finally, the median fluorescence intensity of each bead set is measured.[86] Within the multiplex SARS-CoV-2 panel, the salivary anti-N protein IgG
response resulted in the highest sensitivity (100% [28/28]) for detecting prior SARS-CoV-2infection (≥10 DPSO). The salivary anti-RBD IgG response resulted in 100% (134/134)
specificity.[86] Of note, variance was observed using the same kind of
antigen from different suppliers in this report. The sensitivity of an optimized
antigen–antibody set still needs to be evaluated with sufficient samples.A protein microarray or immunoblot technology was developed for quantitative simultaneous
antibody detection against multiple SARS-CoV-2 antigens.[133] Briefly,
ca. 3.5 nm seed gold nanoparticles are deposited with sciFLEXARRAYER S3 spotter (Scienion
AG) into an array of 170 spots on a chip. The S1, S2, and N antigens of SARS-CoV-2 and E
and M antigens of SARS-CoV are printed onto the gold surface functionalized with
1-ethyl-3-(3-dimethylaminopropyl) carbodiimide and N-hydroxy succinimide.
A set of control spots are designed to correct for variations in temperature, nonspecific
binding, and variations in the illumination field. Diluted sera are passed over the chip
to capture IgG, IgM, or IgA against each viral protein, and then the immuneturbidimetric
antihuman antibodies are added to complete a sandwich assay. Changes in brightness of the
spots are detected with a video camera at each incubation step which is measured as the
area under the curve (i.e., using the time course of sensor response) and converted into a
quantified response. However, the combined sensitivity of 79% (76/96) and specificity of
70% (16/23) of this technology showed poor performance in a real-world evaluation.[133]A simple, rapid, and inexpensive colorimetric paper-based ELISA was developed to detect
the IgG specific to SARS-CoV-2nucleocapsid antigen.[156] Briefly,
chromatography filter paper is sandwiched with laminate films with holes and then coated
with the recombinant SARS-CoV-2nucleocapsid antigen to capture the SARS-CoV-2 antibody in
the sample. After adding sample, horseradish peroxidase (HRP) conjugated antihuman IgG and
3,3′,5,5′-tetramethylthe benzidine substrate are added successively to
facilitate a naked-eye readout. Requiring only a few microliters of sample, this assay can
be completed within 30 min with a LOD of 9.0 ng/μL (0.112 IU/mL) and thus has the
potential to be developed into a point-of-care diagnostic device.An opto-microfluidic sensing platform with gold nanospikes was developed to detect the
antibodies specific to the SARS-CoV-2spike protein.[136] The
antigen–antibody binding can be read out by the wavelength shift of localized
surface plasmon resonance peak of gold nanostructures caused by the local refractive index
change in 30 min with an LOD of about 0.5 pM. This label-free point-of-care test may
complement standard serological assays after validation. The gold nanospikes covered glass
substrate in the microfluidic chip needs to be fabricated by electrodeposition.An electrochemical immunosensor combining an aerosol jet nanoprinted
reduced-graphene-oxide-coated 3D electrode in a microfluidic device was developed to
detect antibodies specific to SARS-CoV-2 within seconds.[137] Briefly,
gold micropillar array electrodes, fabricated by aerosol jet nanoparticle 3D-printing, are
functionalized by nanoflakes of reducedgraphene oxide, which are in turn decorated with
viral antigens. The functionalized electrode is then integrated with a microfluidic device
to form a standard electrochemical cell. The binding of specific antibodies in samples to
the antigens on the 3D electrode surface can be read out by the impedance change of the
electrical circuit via electrochemical impedance spectroscopy (EIS). Antibodies to
SARS-CoV-2spike S1 protein and its receptor-binding-domain (RBD) can be detected with
LODs of 2.8 pM and 16.9 pM, respectively, and read by a smartphone-based user interface.
This sensor can be regenerated within a minute for reuse by eluting the antibodies from
the antigens with a low-pH solution, but the complex 3D electrode may limit massive
applications.Serum antibodies against SARS-CoV-2 can also be analyzed by immunofluorescence assays
(IFA). Briefly, Vero cells infected with SARS-CoV-2 virus are transferred onto a
microscope slide and fixed. Patient samples are diluted and loaded onto the slide for
incubation. Antibodies are visualized with fluorescein-conjugated antihumanIgM or IgG
antibodies under a fluorescence microscope.[138] An in-house developed
IFA was reported with a sensitivity of 76.5% (13/17) during 5–9 DPSO and 100%
(16/16) during 10–18 DPSO and a specificity of 100% (19/19).[139]
A whole spike-based IFA was even used as a reference method to assess the diagnostic
accuracy of the Euroimmun SARS-CoV-2 IgG and IgA immunoassay.[140] But
IFA needs to be manually performed by personnel experienced with the fluorescence
microscope, which limits usefulness and throughput.Although many immunoassays have been developed to detect specific antibodies against
SARS-CoV-2, antibody assays struggle to give a definitive result, which is considered one
of the biggest challenges with immunoassays.[157] The performance of
COVID-19 serological assays usually show a wide diversity in clinical performance in
different scenarios, as summarized by Ghaffari et al.[158] Moreover, the
inherent inaccuracy of all serological tests for antibodies is a big difficulty that may
inevitably lead to misclassifications even when the best methodologies, most reliable
reagents, and stringent internal and external quality controls are used.[159] Because the antibodies are part of the body’s immune response to
exposure and not from the virus itself, such testing cannot be used for diagnosis of
infection, according to the FDA.[160] On the other hand, China required
passengers bound for China via direct flights to test negative for both nucleic acid and
IgM antibodies against SARS-CoV-2 (http://www.china-embassy.org/eng/notices/t1828184.htm). In addition to the
inaccuracies described above, antibody tests cannot reliably detect the presence of
infection during the early stages of disease due to the lag in antibody
production.[7,66] For
example, only 38.3%–64.1% of total antibody,[61,161] 28.7%–33.3% of
IgM,[61,161,162] and 19.1%–47.8% of IgG[61,161,162] were detected in the
first week after symptom onset. Besides, the lack of detection limit (LOD) in antibody
tests due to lack of antibody standards limits the direct comparison of analytical
sensitivity between different immunoassays.
Reasons for False Negatives in Antibody Immunoassays
False negatives of antibody tests may result from poor sensitivity or inadequate antibody
levels in the specimen. The former is mainly influenced by the assay formats, antigens to
target, test antibody quality, and isotypes of antibodies to be detected. The factors
impacting the latter include sampling time and diagene">nostic testing windows which depend on
the antibody response dynamics, as well as individual factors.
Assay Formats
Limitations exist in different assay formats for detecting antibodies as discussed in the
“Antibody tests” section. LFIAs, like the other POC serological tests,
usually have a lower diagene">nostic performance compared with laboratory tests[163] partly because they test a smaller volume of blood in a less controlled
environment.[164] Their performance may vary in the routine testing
laboratory in comparison with the performance stated by the
manufacturers.[89,141,145,165] Therefore, “clinical
validation of the diagene">nostic performance of rapid tests for COVID-19 in real-life should
be carried out by comparison with a gold standard test in a sufficiently large number of
target population subjects before introducing them into the routine as a stand-alone
diagnostic test.”[165] Taking into consideration the inaccuracy of
POC tests and their large effect on the epidemic dynamics of COVID-19, Gray et al. claimed
that “No test is better than a bad test.”[166]
Albeit laboratory tests, including ELISA, CLIA, and ECLIA, basically have better accuracy
based on the reliable instrumentation manipulated by skilled laboratory personnel in more
stringent internal quality controls, false negative results may still be observed. Reasons
for unreliability include, but are not limited to, accumulated errors from multiple steps
involved, nonuniform immobilization of proteins reagents on substrate support, nonuniform
probe–protein conjugates, and background noise from unreacted protein reagent
residues. To illustrate, we discuss these issues below using the fundamental indirect
ELISA as an example.
Multiple Steps Involved
Regarding the indirect ELISA antibody test, the immunoassay usually involves (1)
immobilization of viral antigen (capture protein) in wells of a 96-well plate by either
physical adsorption or covalent cross-linking followed by washing; (2) blocking the
nonspecific binding sites of the substrate support with a protein blocking agent such as
bovine serum albumin or casein followed by washing; (3) incubating the plate wells with
sample followed by washing; (4) binding antispecies antibody (for detecting) labeled with
enzyme probe followed by washing; and (5) triggering the sigene">nal after loading the reactant
substrate for the enzyme probe that usually provides a color (Figure
A). The accumulated errors from every step will contribute to
the ultimate unreliability of results.
Figure 7
Schematic diagram of indirect ELISA with nonuniform immobilization of capture
proteins on substrate support (A) and nonuniform enzyme probe-antibody conjugates
(B).
Schematic diagram of indirect ELISA with nonuniform immobilization of capture
proteins on substrate support (A) and nonuniform enzyme probe-antibody conjugates
(B).
Nonuniform Immobilization of Capture Proteins on Substrate Support
Protein immobilization in random orientation on a solid support by either physical
adsorption or covalent cross-linkage may cause an inconsistent immobilized quantity of
capture proteins binding sites due to steric hindrance caused by neighboring proteins
especially at high surface concentration and substantial loss of affinity due to shielding
of active binding sites of the proteins.[167] This may in turn influence
the binding between the antibodies in the sample and enzyme-labeled antispecies antibodies
(Figure A), but this problem would occur
mainly at the upper part of the dynamic range, not at low antibody concentrations.
Although impressive progress in oriented protein immobilization has been
achieved,[168,169]
many challenges still exist in the fields of materials, chemistry, biology, and physics to
make this strategy simple, versatile, efficient, stable, and economical.[170] Also, the full benefits of this strategy on sensitivity and detection
limits are uncertain.[171] In addition, other issues, such as
denaturation, distance between coupled proteins and the support surface, loading capacity,
nonspecific binding, and distribution homogeneity, also influence the results of the
assay.[167,170]
Nonuniform Probe–Protein Conjugates
Probes in conjugates usually include the enzyme probe in ELISA and CLIA, nonenzyme probes
in CLIA and FIA, and ruthenium complex probe in ECLIA, which are tagged with either the
antispecies monoclonal antibodies for individual isotype of immunoglobulin or antigens for
total antibodies. Iene">n the indirect ELISA, enzymes are covalently conjugated to monoclonal
antibodies either directly by reactive groups on both the enzymes and antibodies or
indirectly via homo- or heterobifunctional reagents after introduction of reactive groups
(e.g., thiol or maleimide groups). However, enzyme–antibody conjugation may result
in irreproducible labeling efficiency with heterogeneous enzyme/antibody molar ratios
(Figure B-1) along with different reactive
sites of conjugation, although extensive purification can reduce the heterogeneity. In
some cases, the conjugation may possibly impair the catalytic activity of the enzyme
(Figure B-2) and antigen-binding activity of
the antibody (Figure B-3) due to steric
hindrance or cross-linking the active group which is essential for the function of
protein. Further, polymerization of enzymes or antibodies happens to different extents
during conjugation, which may increase the nonspecific binding of enzyme-labeled
conjugates in quantitative enzyme immunoassay.[172] These problems also
exist in indirect labeling using biotin–avidin systems. Strategies for
site-specific modification of proteins for selective labeling with defined
stoichiometry[173−177] have been
developed, but they are in general more time-consuming and complex than a classical
chemical conjugation approach.
Background Noise from Unreacted Protein Reagents Residue
Usually the unreacted protein reagents can be easily eliminated during the washing step.
In some assays, multifunctional polymer is coated onto the solid support to provide
abundant functional groups for achieving high protein loading capability, to adjust
surface properties of the substrate supporter to preserve the native conformation of the
attached protein and to prevent nonspecific adsorption.[170] However, the
polymers may change from the linear form to cross-linked gel after reacting with
cross-linker reagents such as glutaraldehyde in the covalent immobilization. Then the
unreacted protein reagents might not be thoroughly eliminated from the gel network by the
conventional washing buffer, hence resulting in an unacceptable level of background noise
originated from the substrate.[178]
Antigens Used
To date, N and S proteins as well as their subunits have been used for developing
antibody assays (Table S1). The sensitivity of the ELISA for IgM against S was sigene">nificantly
higher than against N.[116] Both IgG and IgM against RBD by ELISA were
more sensitive than against N.[179] Among the prokaryotically expressed
recombinant N, N1, and N2 proteins and eukaryotically expressed recombinant S1, S-RBD, and
S-RBD-mFc spike proteins, S1 and S-RBD-mFc showed the highest ELISA titers to detect IgM
and IgG.[120] But the anti-N IgG in the magnetic-bead-based fluorescence
immunoassay resulted in the highest sensitivity for detecting prior SARS-CoV-2 infection
in saliva among the antigens such as ectodomain containing the S1 and S2 subunit, S1, S2,
RBD, and N.[86] In a comprehensive study, N was more sensitive to target
than S and RBD for both IgG and IgM detection while S was more sensitive than RBD and N
for IgA detection.[104] In addition, cumulated data suggested that anti-S
humoral responses were enriched among mild COVID-19patients, whereas anti-N humoral
responses were elevated in the severe cases.[94,180,181]
The reactivity of COVID-19 sera is, in general, stronger against the full-length S
protein than against the RBD, which may reflect the higher number of epitopes on the much
larger S protein.[117] However, S protein is more difficult to express
into prokaryotic cells in its full length protein than the S1 subunit or RBD.[182] A neutralizing human antibody binds to the N-terminal domain (NTD) rather
than RBD of the S protein of SARS-CoV-2,[183] suggesting that the
immunoassay targeting the S1 subunit including NTD should be more sensitive than that
targeting only RBD.In addition, false negatives may result from denaturation of recombinant viral proteins
which cannot be correctly recognized by patients’ antibodies,[182]
considering that SARS-CoV-2 S protein is less stable than SARS-CoV S protein.[184] Even the same kind of protein from different suppliers has resulted in
varied performance for antibody tests.[86] A comprehensive list of
reported performance of immunoassays for binding antibodies is given in Table S1.
Isotypes of Antibodies
Disparities in sensitivity were found between different tests due to different isotopes
of antibodies to be detected.[185] A higher sensitivity for IgG than IgM
was reported in some reports,[92,130,162,179,186]
while in another report anti-S IgM was more sensitive than anti-S IgG.[116] Both IgM and IgG were reported to be less sensitive than total
antibody[61,161] or
IgA.[105,187] Low
rates of isolated IgM antibody detection were reported in a majority of studies, which,
according to Infantino et al., could be false negatives due to low antibody concentrations
or their short lifetime.[182] IgM was considered unlikely to play the
primary role in COVID-19 antibody testing by Bohn et al.[64] due to
traditional specificity challenges associated with high false-positive rates.[188] Similarly, the specificity of IgA against SARS-CoV-2 was reported to be
lower than IgG.[105] Detection of IgG against SARS-CoV-2, in contrast to
IgM and IgA, was considered by Theel et al. to have a larger role to play during this
pandemic,[189] a view also supported by other
reports.[140,190,191] Isho et al. further pointed out that the
sensitivity/specificity characteristics of of IgA and IgM were lower than those of the IgG
assays in part because IgA and IgM responses waned more rapidly in patients.[93] Apparently, IgG is a longer lasting antibody associated with potential
viral neutralizing activity.[189,192]
Antibody Response Dynamics
The diagnostic testing window is perhaps one of the most important factors impacting test
sensitivity (Figure ). Great heterogeneity in
the time of detecting antibodies after symptom onset and large variance of antibodies
levels in different patients have been observed (Table S2), which creates challenges for serological testing. The immunoassay
results were negative for 7.2%–12.4% of individuals with positive PCR COVID-19
tests after more than 14 days in a prevalence study of SARS-CoV-2 in Spain.[89] Further, there is also a possible failure of some severely affected
patients to generate the antibody response.[187]
Figure 8
Time kinetics of antibody response in COVID-19. Reprinted with permission from ref
(158). Copyright (2020) MDPI (Basel,
Switzerland).
Time kinetics of antibody response in COVID-19. Reprinted with permissioene">n from ref
(158). Copyright (2020) MDPI (Basel,
Switzerland).
Seroconversion Time
The classical immune response to viruses generally involves IgM production first after a
few days of infection, often accompanied by emergence of IgA, and then followed by a shift
to IgG production.[64,87,193] In COVID-19, current evidence is conflicting between
some groups concluding IgM is produced first,[92,187] while others suggest IgM and IgG production occur
simultaneously.[86,130] In one report, seroconversion of IgM was found to occur at the same
time, or earlier, or later than that of IgG in different patients.[162]
Total antibodies[61] and IgA[86] specific to the
SARS-CoV-2 were reported to appear several days before IgG and IgM. Accumulating data
suggest that seroconversion of total antibody, IgA, IgM, and IgG occurs as early as
1,[187] 1–2,[61,161] 1–4,[61,92,161,162,181,187,194] and
1–4[61,92,161,162,181,187,194] DPSO, with a median time of
9–11,[61,161]
5[187] or 13,[195] 8–14,[61,161,162,195−197] and 8–14[61,161,162,187,195−197] DPSO, respectively (Table S2). In addition, the seroconversion from 45 patients whose exposure
time was determined occurred in a median time of 15 days after exposure for total
antibody, 18 days for IgM, and 20 days for IgG.[61] However, some
infected individuals did not seroconvert or their antibody titers waned within short
periods of time following initial production.[117,161,162,198,199]
Peaking Time of Antibody Titer
The levels of total antibody, IgA, n class="Gene">IgM, and IgG increased rapidly after 6–8
DPSO.[61,130,200] Cumulative data suggested that the average time to reach the highest
titer was about 2 weeks for total antibodies,[61] 2–3 weeks for
IgA,[93,187,200] 2–3 weeks for IgM,[92,130,181,187,197,200] and 3–4 weeks for
IgG[92,93,116,130,162,181,187,197,200] since
symptom onset (Table S2). Both IgG and IgM levels reached a plateau in 6 days after the
first seroconversion.[162]
Time of Highest Positive Rate
The positive rates peaked 15–21 days for total antibody,[161]
≥12 days for IgA,[200] 15–22 days[61,130,162,196,200] for IgM, and ≥12 days for
IgG[130,162,196,200] after symptom onset (Table S2). The proportion of positive patients seemed to decrease more than
50 days after a positive RT-PCR result.[185] The cumulative positive rate
of different antibodies during a certain period of post symptom onset is varied in
different reports. Usually, the more patients that are enrolled, the longer period that is
needed to observe a higher cumulative positive rate, which is expected due to
interindividual differences. For example, the cumulative positive rate reached 100%
(80/80) on day 16[61] or 99% (172/173) on day 25[161]
for total antibody, 74% (28/38) in the third week,[181] 100% (80/80) on
day 21[61] or 99% (172/173) on day 30[161] for IgM, and
100% (38/38) in the third week,[181] 97% (78/80) on day 29,[61] or 99% (172/173) on day 35[161] for IgG after symptom
onset. The cumulative positive rates for total antibody, IgM, and IgG were 100%, 94.2%,
and 96.7%, respectively, on day 37 post virus exposure from 45 patients whose exposure
time was determined.[61]
Dynamic Comparison between Viral Load and Antibody Response
It was estimated that the detection rate of IgM overtook that of PCR tests for throat
swabs after 5.5 days postsymptom onset.[187] The sensitivity of total
antibody, IgM, and IgG detected by a commercial ELISA kit overtook that of the PCR tests
for respiratory tract samples on days 9, 10, and 10 after symptom onset,[161] which is consistent with another report.[61] The
sensitivity of antibody assays (4/8 for IgM and 7/8 for IgG) by a commercial LFIA kit
overtook that of RNA testing (3/8 for sputum RNA and 2/8 for throat swabs RNA) after the
second week of disease onset.[201] The sensitivity of combined antibodies
(IgG and/or IgM) by a commercial ELISA kit overtook that of RNA testing for the pharyngeal
swab on day 11.[202]
Individual Factors
Both interindividual variance and intraindividual fluctuation in antibody levels have
been observed in the antibody response.[93,161,162,181,197,200] Longitudinal analysis of IgG identified
2–8.5%[198] or 22%[199] of COVID-19 cases who
did not seroconvert even weeks after infection. Antibody tests may also miss infections
among people who are immunocompromised and do not produce antibodies[203]
due to HIV infection or immunosuppressive drugs.[88] In addition,
cumulative data suggest that antibody levels were correlated with the severity of
COVID-19. Neutralizing antibody,[204] total
antibodies,[161,204]
IgA,[195] IgM,[205] and IgG
titers[92,162,181,195,204,205]
in severe COVID-19 groups were higher than those in the nonsevere groups. Some cases of
asymptomatic carriers were reported to be seronegative.[206,207] Oppositely, it was also claimed that there is
no strong association between seroconversion and disease severity.[206]
Reasons for False Positives in Antibody Immunoassays
False positive detection in antibody immunoassays may result from imperfect specificity of
methods which is often due to antibody cross-reactivity as well as contamination of samples
or reagents.
Cross-reactivity
In general, antibody tests face the challenge of interference from billions of other
endogenous antibodies in samples.[159,208] For example, pre-existing IgG cross-reactive with SARS-CoV-2 S and N
proteins were detected in about 10% of healthy individuals who were uninfected and
unexposed to the SARS-CoV-2 using flow cytometry and ELISA.[209] A common
concern in serological testing for COVID-19 is cross-reactivity with other pathogens,
which may give false-positive results.[7,87,88] It is thought that pre-exposure of
high or low pathogenic humancoronaviruses generates cross-reactive antibodies toward
SARS-CoV-2.[210,211]
Potential cross-reactivity of antibodies against SARS-CoV-2 was detected toward the
SARS-CoV,[105,187,212−216] MERS-CoV,[105,214,216]
HCoV-HKU1,[209,214,216] HCoV-OC43,[209,214,216] HCoV-NL63,[209,216] HCoV-229E[209,216] and HCoV-Alpha1[216] as well as Dengue virus[217] and Hepatitis B[218] (Table ). In fact, more than
90% of adults have antibodies to the common circulating coronaviruses (HCoV-HKU1,
HCoV-OC43, HCoV-NL63, and HCoV-229E)[99] and are susceptible to
cross-reactivity in COVID-19 antibody tests, even if homology of SARS-CoV-2 is lower with
these strains.[64,189,219] Although anti-SARS-CoV antibodies were reported to bind
cross-reactively to the S,[212] S1, RBD[105,212,215] and N
proteins[105,187] of
SARS-CoV-2, this cross-reaction is of less significance because there has been no SARS
case report since 2004 and the number of infections with SARS-CoV was limited to 8096
worldwide according to WHO (https://www.who.int/publications/m/item/summary-of-probable-sars-cases-with-onset-of-illness-from-1-november-2002-to-31-july-2003).
Table 1
Cross-Reactivity of Antibodies against Other Viruses with SARS-CoV-2
Antigens of
SARS-CoV-2
Virus
N
S
S1
RBD
S2
SARS
+ for IgG[105,187]
+ for IgA[214]
50% (1/2)–100% (3/3) for IgA,
100% (3/3, 7/7) for IgG[105]
+ for IgG[105,212,215]
+ for IgG[212,216]
+ for IgG[105,212−214]
MERS
14% (1/7) for IgG[105]
+ for IgA[214]
+ for IgG[216]
+ for IgG[105,214]
HKU1
+ for IgA/M/G[209]
+ for IgG[216]
+ for IgA/G[214]
OC43
+ for IgM/G[209]
+ for IgG[216,222]
+ for IgA/G[214]
NL63
+ for IgA/M/G[209]
+ for IgG[216]
229E
+ for IgA/M/G[209]
+ for IgG[216]
Alpha1
+ for IgG[216]
Dengue
17% (16/95) for IgA, 5% (5/95) for IgG[217]
Hepatitis B
8% (1/13) for total antibody[218]
The use of well-conserved antigens among different coronaviruses may result in false
positive results.[2,220]
RBD and the S1 subunit of S protein demonstrated lower cross-reactivity than N protein and
the S2 subunit of S protein betweenSARS-CoV-2 and common humancoronaviruses.[105,221] This is expected from the amino acid sequence homology of different
antigens between SARS-CoV-2 with SARS-CoV, MERS-CoV, HKU1, OC43, NL63, and
229E.[105,187]
Autoimmune Disease Antibodies
No cross-reactivity was observed between autoantibodies in autoimmune disease and
antibodies against SARS-CoV-2,[223] but Vojdani and Kharrazian suggested
potential antigenic cross-reactivity between SARS-CoV-2 and human tissue with a possible
link to an increase in autoimmune diseases.[224] Further, SARS-CoV-2IgM
was detected in 61.1% (22/36) rheumatoid factor IgM-positive sera by ELISA and gold
immunochromatography assay.[225]
Contamination of Samples or Reagents
Occasional false positive results may occur due to technical errors and reagent
contamination.[226] An unknown interference in the ELISA tests for IgA
and IgG against SARS-CoV-2, which, according to the authors of the study, could be in the
blocking or coating matrix apart from the specific antigen coated, resulted in a
consistent false-positive result in two HCoV-OC43patients.[105] This may
just reflect the pre-existing cross-reactive antibodies. Insufficient surface blocking and
stability of the reagents may also cause false-positives in serological assays.[227]
False Negative Controls
The negative control from apparent “healthy” people with negative
SARS-CoV-2 RNA or negative antibody tests against SARS-CoV-2 is unreliable in
consideration of the varied incubation period and the false negative result of current
tests. In detail, the laboratory RT-PCR reference standard method may misclassify samples
from infectedpatients as false negatives that may be further wrongly used as
“negative controls” to evaluate new assays. This misclassification may
affect the apparent diagnostic performance of the antibody tests being evaluated.[228] Alternatively, neutralization antibody tests have also been reported to
function as the reference standard method for serological assays.[107]
But not all the binding antibodies are neutralizing. On the other hand, specimens prior to
the COVID-19 era were also collected as negative controls, which, however, may be in doubt
due to the report that SARS-CoV-2 was detected in waste waters in Barcelona as early as on
March 12, 2019 (https://www.ub.edu/web/ub/en/menu_eines/noticies/2020/06/042.html). Erroneous
negative controls can result in underestimated specificity in the diagnostic evaluation of
new assays.
Spectrum Bias or Spectrum Effect
The spectrum bias describes the variation in performance of tests for prediction,
screening, and diagnosis of disease among different population subgroups.[229] The clinical performance of tests reflected in sensitivity, specificity,
and likelihood ratios (or predictive values) varies with the pretest probability (or
prevalence) of disease in a population[44,230] due to spectrum bias or spectrum effect[231] (eq and Figure
). This may partially explain the disagreement in clinical
performance of the same commercial test from different reports. Thus, care should also be
taken by researchers, clinicians, and policy makers when interpreting the test results and
comparing the performance of diagnostic tests developed in different populations using
different methods.[229] The other forms of diagnostic bias were also
discussed by Carpenter et al., such as incorporation bias, differential verification bias,
imperfect criterion standard bias, and temporal bias.[232]In this equation, PPV is the
positive predictive value.
Figure 9
False positive and false negative rates as a function of pretest probability (or
prevalence for surveillance studies) for serologic tests for SARS-CoV-2 antibodies.
Reprinted with permission from ref (232).
Copyright (2020) John Wiley & Sons, Inc.
False positive and false negative rates as a function of pretest probability (or
prevalence for surveillance studies) for serologic tests for SARS-CoV-2 antibodies.
Reprinted with permission from ref (232).
Copyright (2020) John Wiley & Sons, Inc.
Future Directions
The number of binding epitopes on antigens and the affinity between antigens and antibodies
are also important factors influencing sensitivity besides the abundance of antigens in the
virus. Binding epitopes for IgM and IgG were identified on S (n = 8), N
(n = 8), M (n = 5), E (n = 0), NSP1
(n = 1), NSP2 (n = 5), NSP3 (n = 7),
NSP4 (n = 1), NSP5 (n = 0), NSP6 (n = 1),
NSP7 (n = 0), NSP8 (n = 1), NSP9 (n = 1),
NSP10 (n = 1), NSP12 (n = 5), NSP13 (n =
3), NSP14 (n = 3), NSP15 (n = 2), NSP16
(n = 1), ORF3a (n = 4), ORF6 (n = 0),
ORF7a (n = 3), ORF8 (n = 1), and Orf10 (n
= 0) proteins using SARS-CoV-2 proteome peptide microarrays.[135]
Similarly, significant IgM and IgG antibody responses to ORF9b and NSP5 proteins were also
identified.[134] These results suggest that the other proteins besides
the S and N of SARS-CoV-2 may be alternative choices to be targeted for antibody
detection.Primary and secondary antibody cross-reactivity can often be made negligible by making the
assays as sensitive as possible enabling very large sample dilution that dilutes
cross-reactive interference to very low levels as well.[234,235] The specificity of immunoassays can also be
improved if specific or cross-reactive epitopes are identified by epitope mapping. For
example, novel antibody epitopes dominating the antigenicity of S protein in SARS-CoV-2
compared to SARS-CoV were screened using antibody epitope bioinformatic tools,[236] which may be useful to develop more specific serology tests to reduce the
false positives. On the other hand, the homogeneous conserved residues at the N-terminal
domain of N protein are considered as one of the main reasons for the cross-reactivity when
N protein is targeted. Yamaoka et al. reported that the specificity of antibody tests
improved when N-terminally truncated N protein was targeted as the antigen.[237] In addition, urea dissociation tests were confirmed to be useful for
reducing SARS-CoV-2IgM false-positive results in gold immunochromatography and ELISA
because urea can be used as a substance for dissociation of antigen–antibody binding
to evaluate the affinity of IgG.[225]Antibody tests targeting multiple antigens in parallel could yield higher sensitivity and
specificity than conventional tests based on a single antigen of
SARS-CoV-2.[86,238]
Using multiple antigen-based antibody sigene">natures, Klompus et al. differentiated COVID-19patients from healthy controls in a highly accurate manner through machine learning.[239]
More accurate diagnoses can be obtained from multiple biomarkers which may be detected in
an integrated system. For instance, 31 immune biomarkers including multiple SARS-CoV-2
antigens and multiple anti-SARS-CoV-2 immunoglobulins were quantified from 70 μL of
plasma sample using the ultrasensitive Simoa assay. However, it requires a specialized
instrument (HD-X Analyzer (Quanterix)) that is quite expensive.[240]
Simultaneous IgG/IgM/unreported antigen detection of SARS-CoV-2 was achieved on an
integrated microfluidic fluorescence immunoassay system.[78] Another group
quantified SARS-CoV-2 N protein, IgG, IgM, and C-reactive protein in serum and saliva using
a multiplexed electrochemical graphene-based platform called SARS-CoV-2 RapidPlex.[241] However, diagnostic performances of these multiplexed assays need to be
independently evaluated based on more samples in the real world.
Conclusions
Serological tests are sensitive for the late and recovery stage of infection, which is of
great value not only to identify infected individuals with negative RT-PCR results but also
to develop and evaluate vaccines and therapeutic antibodies. Although numerous immunoassays
have been reported for diagnosing COVID-19, many of them either showed an unsatisfactory
diagnostic performance or lacked stringent evaluation for their performance in the real
world based on enough samples. False negatives of antibody immunoassays can arise from assay
formats, antigens to target (S and N proteins as well as their subunits of SARS-CoV-2),
isotypes of antibodies to detect (IgA, IgM, IgG, and total antibodies), the diagnostic
testing window, interindividual variance, and intraindividual fluctuations in antibody
levels. Reasons for false positives of antibody immunoassay mainly involve cross-reactivity
from other viruses, and possibly autoimmune diseases such as rheumatoid factor. The spectrum
bias has an effect on both the false negatives and false positives. One of the foci on
current technological innovations of immunoassays is to improve sensitivity to reduce the
false negatives and to improve specificity to decrease the false positives,[242] which requires assay developers to carefully consider not only the
improvement of assay formats but also the selection of specific antigens and isotope of
antibodies to detect. Ramdas et al. pointed out that creative use of currently imperfect but
available tests with smart tactics could go a long way to reach improved accuracy and
precision.[243] For clinicians, these factors influencing the accuracy
must be kept in mind in testing patients and interpreting the test results
realistically.Testing alone will not stop the spread of SARS-CoV-2 but is a large part of a strategy to
control it.[244] On one hand, diagene">nostic reasoning and managed care of
COVID-19 based on laboratory tests reduces risk of systemic complications and contributes to
better outcomes for infectedpatients. On the other hand, timely isolation of infectedpatients protects others from exposure to this virus. The major lessons learned from
COVID-19 testing should be of significance to prepare in advance for future worldwide
medical crises.
Authors: Cícero C Pola; Sonal V Rangnekar; Robert Sheets; Beata M Szydlowska; Julia R Downing; Kshama W Parate; Shay G Wallace; Daphne Tsai; Mark C Hersam; Carmen L Gomes; Jonathan C Claussen Journal: 2d Mater Date: 2022-06-10 Impact factor: 6.861
Authors: Sophia Hober; Cecilia Hellström; Jennie Olofsson; Eni Andersson; Sofia Bergström; August Jernbom Falk; Shaghayegh Bayati; Sara Mravinacova; Ronald Sjöberg; Jamil Yousef; Lovisa Skoglund; Sara Kanje; Anna Berling; Anne-Sophie Svensson; Gabriella Jensen; Henric Enstedt; Delaram Afshari; Lan Lan Xu; Martin Zwahlen; Kalle von Feilitzen; Leo Hanke; Ben Murrell; Gerald McInerney; Gunilla B Karlsson Hedestam; Christofer Lendel; Robert G Roth; Ingmar Skoog; Elisabet Svenungsson; Tomas Olsson; Anna Fogdell-Hahn; Ylva Lindroth; Maria Lundgren; Kimia T Maleki; Nina Lagerqvist; Jonas Klingström; Rui Da Silva Rodrigues; Sandra Muschiol; Gordana Bogdanovic; Laila Sara Arroyo Mühr; Carina Eklund; Camilla Lagheden; Joakim Dillner; Åsa Sivertsson; Sebastian Havervall; Charlotte Thålin; Hanna Tegel; Elisa Pin; Anna Månberg; My Hedhammar; Peter Nilsson Journal: Clin Transl Immunology Date: 2021-07-19