Mohamed Sharafeldin1, Felix Fleschhut1, Timothy James2, Jason J Davis1. 1. Department of Chemistry, University of Oxford South Parks Road, Oxford OX1 3QZ, U.K. 2. Department of Clinical Biochemistry, John Radcliffe Hospital Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, U.K.
Abstract
The progressive emergence of protein biomarkers promises a revolution in the healthcare industry and a shift of focus from disease management to much earlier intervention. Here, we introduce a facile shotgun tagging of ensemble proteins in clinically relevant media prior to specific target capture at antibody-modified electrodes. This facilitates a convenient voltammetric quantification of markers down to sub-pg/mL levels and across several orders of concentration. A translation of the methodology to an automated microfluidic platform enables marker quantification from 25 μL of sample in less than 15 min, demonstrated here with a simultaneous assaying of CRP and cardiac troponin I (cTnI). The assays show a good correlation with a standard immunoassay when applied to real patient serum samples. The platform is simple, generic, highly sensitive and requires no secondary labeling/binding or amplification.
The progressive emergence of protein biomarkers promises a revolution in the healthcare industry and a shift of focus from disease management to much earlier intervention. Here, we introduce a facile shotgun tagging of ensemble proteins in clinically relevant media prior to specific target capture at antibody-modified electrodes. This facilitates a convenient voltammetric quantification of markers down to sub-pg/mL levels and across several orders of concentration. A translation of the methodology to an automated microfluidic platform enables marker quantification from 25 μL of sample in less than 15 min, demonstrated here with a simultaneous assaying of CRP and cardiac troponin I (cTnI). The assays show a good correlation with a standard immunoassay when applied to real patient serum samples. The platform is simple, generic, highly sensitive and requires no secondary labeling/binding or amplification.
The quantification
of proteins in biological samples has emerged
as an indispensable tool in clinical diagnostics, drug discovery,
and the evaluation of therapeutic intervention.[1] In particular, a quantified assessment of multiple protein
markers has been associated with an improved understanding of abnormal
metabolic states, physiological conditions, and diseases.[2−4] Among the currently utilized approaches for target protein quantification,
the enzyme-linked immunosorbent assay (ELISA) is widely regarded as
a benchmark in terms of specificity and sensitivity. In its standard
form, it utilizes paired antibodies along with an attached enzyme
label to generate a colorimetric quantifiable readout and is available
in a semiautomated format with clinical analyzers.[5] Although ELISA derivatives have evolved much in recent
years (such as the single-molecular arrays (Simoa)[6] or electrochemiluminescence-based immunoassays, e.g., the
Meso Scale Discovery (MSD) platform with its inherent amplification
routinely enabling sub-pg/mL target detection levels), it also requires
centralized laboratory settings, expensive hardware, demanding technical
manipulation, and relatively long assay times (6–8 h for conventional
ELISA), greatly limiting its translation to resource-limited or “point-of-care”
(POC) settings.[7] In contrast, electrochemical
biosensors, which provide comparable levels of sensitivity, offer
the possibility of developing cheap and highly scalable platforms,
making their application in early diagnostics and health care solutions
accessible to a much wider range of environments and proportions of
the population. A diverse range of microfluidic electrochemical immunoassay
protein analysis strategies have been investigated as cost-effective
POC alternatives.[8,9] These can be collectively divided
into those that are sandwich in nature and those that are label-free.[10] Although the former present high sensitivities
derived from enzyme and/or nanoparticle labels[11,12] as with ELISA, they are invariably associated with label generation
as well as multiple washing and incubation steps, increasing complexity,
required end-user intervention, time, and cost.[13] Specifically derived secondary ligands—often antibodies
conjugated with a detectable probe—are, in addition, needed
for each target molecule (further increasing complexity). Label-free
electrochemical methodologies aim to directly transduce target protein
capture at an electrode-confined recognition element into a measurable
signal, such as that detected by interfacial impedance or capacitance,
and typically rely on specifically engineered electrode interfaces
to maximize signal specificity in complex media.[14−16]Ensemble
protein labeling (shotgun tagging) has been commonly employed
in mass spectrometry (MS) quantification, where target peptides are
derivatized with specific isotopic masses[17] or isobaric mass tags.[18,19] A diverse range of
MS applications utilizing such tagging techniques have been introduced
in the last decade to improve sensitivity and to support, for example,
the analysis of protein interactions.[20] MS methods, of course, remain expensive and are very often semiquantitative
only, operationally demanding, and far from scalable.[21] Ensemble protein labeling with fluorescent or chemiluminescent
probes has also been widely associated with cell-based protein imaging,[22] where a range of aryl-diazonium,[23] azlactone,[24] vinyl
sulfone,[25] and NHS-ester/isothiocyanate
bioconjugation strategies have been applied.[26] Among these, succinimidyl ester approaches, operating with good
levels of selectivity under conditions of neutral pH with easily stored
reagents, are ubiquitous,[18,19,27,28] targeting primary amine groups
of the N termini of any polypeptide chain or solvent-exposed lysine
residues.[29]To omit the potentially
laborious (and costly) construction and
characterization of sandwich tags (such as redox-tagged antibodies),
we herein exploit the Faradaic quantitation of directly redox-tagged
targets captured at an antibody-functionalized electrode. We utilize
nonspecific succinimidyl ester tagging of proteins in serum prior
to immunorecognition-mediated target capture and voltammetric quantification
of two important cardiovascular biomarkers: C-reactive protein (CRP)[30] and cardiac troponin I (cTnI)[31] (Scheme ). This is a generalizable methodology that supports biomarker assaying
at low detection limits (<1 pg/mL) from real biological samples.
We further demonstrate the integration of this methodology into a
simple microfluidic mixing format that reduces assay time to minutes
in a semiautomated format. This strategy lies at the interface between
labeled (probe-tagged targets) and label-free techniques (single-step
immunorecognition with no secondary labeling event).
Scheme 1
Schematic
Depiction of Electrochemical Quantification of Shotgun
Redox-Labeled Proteins (Top) and the Coupling
Reaction of Methylene Blue NHS Ester to the Free Amine Groups on CRP
(as an Example Analyte) via Amide Bond Formation (Bottom)
Protein samples
are nonspecifically
tagged and then captured at antibody-coated electrodes. A concentration-dependent
increase in a differential pulse voltammetric signal is used to quantify
different targets at each electrode.
Schematic
Depiction of Electrochemical Quantification of Shotgun
Redox-Labeled Proteins (Top) and the Coupling
Reaction of Methylene Blue NHS Ester to the Free Amine Groups on CRP
(as an Example Analyte) via Amide Bond Formation (Bottom)
Protein samples
are nonspecifically
tagged and then captured at antibody-coated electrodes. A concentration-dependent
increase in a differential pulse voltammetric signal is used to quantify
different targets at each electrode.
Materials and
Methods
Materials and Equipment
If not otherwise stated, all
chemicals used were purchased from Sigma-Aldrich. Methylene blue-NHS
ester was purchased from Glen Research and used as provided. Nafion
117 4% solution in a mixture of lower aliphatic alcohols and water
was purchased from Sigma-Aldrich and used as obtained. Goat anti-human
CRP polyclonal antibodies (1707-0189G) and native human CRP (1707-2029)
were purchased from BioRad. Anti-cardiac troponin I antibody (M155)
(ab10237) and recombinant human cardiac troponin I (cTnI) protein
(ab207624) were from Abcam. Water used throughout buffer preparation
was ultrapurified with a resistivity of 18.2 MΩ cm (Milli-Q
Direct/Merck Millipore). Fibrinogen, bovine serum albumin (BSA), human
serum albumin (HSA), fetal bovine serum (FBS), and human serum were
purchased from Sigma-Aldrich. All electrochemical measurements were
carried out with a three-electrode setup using a PalmSens 4 potentiostat
powered by PSTrace 5.8. The SPR measurements were performed on a Reichert
DC7200 using integrated SPRAutolink software. 3D-printed microfluidic
chips were designed using Fusion 360 software (Autodesk) and manufactured
using an ELEGOO Mars UV-photocuring LCD printer with an ELEGOO translucent
resin. Leak-free Ag/AgCl reference (LF-2-100) electrodes were purchased
from Alvatek. Glassy carbon disk electrodes (GCE) with diameters of
3.0 mm were from CHI. Gold disk electrodes with diameters of 2.0 mm
were from CHI. The outer diameter for both electrodes was 6.4 mm.
Antibody Immobilization
Glassy carbon electrodes were
polished sequentially with 1.0, 0.3, and 0.05 μm alumina, sonicated
for 30 s in 1:1 H2O:ethanol, and cycled in 0.5 M potassium
hydroxide between 0.70 and 1.70 V vs a leak-free Ag/AgCl reference
electrode at 100 mV/s for 20 cycles. They were then incubated for
16 h with 100 μg/mL of Ab at 4 °C. EIS and DPV of antibody-decorated
electrodes were measured in 5 mM [Fe(CN)6]4–/3- to confirm successful surface functionalization (Figure S11). Electrodes decorated with antibodies were washed
with PBS buffer and incubated in 1 M ethanolamine in PBS for 1 h and
subsequently with 1% FBS in PBS for 15 min to reduce nonspecific protein
binding before measurements.
Solution-Phase Redox Tagging
Fifty
microliters of freshly
prepared methylene blue–NHS ester solution (initially at 20
μg/mL but diluted to 10 μg/mL when mixed with the sample)
in DMSO was immediately mixed with 50 μL of the protein sample
aliquoted in 100 mM MES buffer at pH 6.0, 1% FBS in 100 mM MES, or
1% human serum (HS) in 100 mM MES. The mixture was vortexed and incubated
for 30 min without stirring. Twenty microliters of a mixed solution
of 1 M ethanolamine and 1 M hydroxylamine were then added to the reaction
mixture and incubated for 5 min to quench any unreacted MB-NHS ester
and prevent nonspecific binding of free esters to electrode-confined
antibodies. The concentration of MB-NHS (10 μg/mL equivalent
to 19 μM in the test solution) was chosen in accordance with
the manufacturer’s protocol suggesting a 5-fold excess of NHS
ester over total protein. Total serum protein concentration was estimated
at 50 mg/mL in human serum (4 μM in test solution).Prepared
electrodes were incubated with 15 μL of the labeled protein
samples for 15 min, washed with PBS, and immersed in degassed 0.1
M KCl (N2-purged for 30 min), and then DPV curves recorded
between −0.60 and 0.00 V vs an Ag/AgCl reference electrode
with platinum (Pt) counter electrodes. Electrochemical measurements
were performed using a PalmSens4 potentiostat, and DPV recorded at
a 100 mV/s scan rate with 50 mV pulses in 0.01 s. Peak heights were
calculated after subtracting the background current at ≈−0.50
V (vs Ag/AgCl), a potential consistent with previous literature on
methylene blue–NHS conjugates.[32−34] Current densities were
calculated relative to the geometric electrode surface area (3.0 mm
diameter).
Specificity Studies
High concentrations
of common interfering
proteins (2 mg/mL BSA, 2 mg/mL HSA, and 2 mg/mL fibrinogen) were labeled
with MB-NHS as described above, and the tagged solutions were then
incubated with antibody-modified electrodes. DPV signals were recorded
and used to compare specific target protein responses (CRP or cTnI).
The cross-reactivities of both target proteins toward their antibodies
were also studied by incubating anti-CRP-modified electrodes with
a high concentration of cTnI (100 ng/mL) and incubating anti-cTnI
electrodes with a high concentration of CRP (200 ng/mL) and comparing
responses to those generated by respective specific targets.
Design
and Construction of the Microfluidic Chip
The
microfluidic chip (Figure and Figure S3) was designed using
Fusion360 software and subsequently printed using an ELEGOO UV-curing
3D printer. A reference electrode was prepared by electrolysis in
0.1 M HCl at a plain silver wire (0.25 mm diameter). Subsequently,
the so-formed reference electrode was coated with Nafion 117 by eight
repeated cycles of incubation in 4% Nafion solution and air-drying.
This and a platinum wire (0.20 mm diameter) counter electrode were
then inserted into the microfluidic cell and fixed via a commercial
adhesive epoxy resin (Araldite).
Figure 4
Schematic
representation of the microfluidic chip used for sample
handling and electrochemical detection. The chip encompasses an electrode
compartment that houses two working disc electrodes (6.4 mm outer
diameter) with reference Ag/AgCl and counter platinum electrodes.
The electrode compartment is connected to a mixing serpentine channel
designed to mix samples and reagents pumped from their respective
chambers. Forty microliters of sample and reagent are loaded into
these chambers through an injection port. This is then closed using
adhesive tape and connected, using flexible tubing, to a syringe pump
programmed for 5 min of flow through the serpentine channel, 10 min
of incubation, and 1 min of washing.
Microfluidic Assay and
Measurement
An antibody-coated
electrode was introduced into the microfluidic chip and fitted tightly.
Inlets of the microfluidic cell were connected to a Harvard Apparatus
Standard Infuse/Withdraw PHD 2200 syringe pump. Before each measurement,
the microfluidic cell was washed with DI water and dried with nitrogen,
and then the two loading chambers (Figure ) separately filled with 25 μL of 20
μg/mL MB-NHS in DMSO and 25 μL of protein solution. The
loading apertures were then closed using Kapton tape and 0.1 M KCl
pumped through both inlets of the cell with a flow rate of 10 μL/min
for 5 min, allowing the two solutions to actively mix inside the flow
channel. When the electrode chamber was filled, the flow was stopped
for 10 min to incubate the electrode with the tagged protein. Subsequently,
the cell was washed with 0.1 M KCl at a flow rate of 100 μL/min
through each inlet for 2 min. During this, the flow cell was held
with a slight positive angle toward the outlet end to prevent the
formation of air bubbles. DPV curves were then recorded in 0.1 M KCl
between −0.6 and 0.0 V vs the Ag/AgCl/Nafion reference electrode
with a Pt counter electrode at a 100 mV/s scan rate and 50 mV 0.01
s pulses.
Microfluidic Spike Recovery
For the spike recovery
experiments in the microfluidic setup, selected known concentrations
of both proteins were first analyzed to correct for interelectrode
variation. Electrodes were then exposed to spiked human serum samples,
and the measured DPV response used to estimate target protein concentration.
Recovery was calculated as the ratio of resolved concentrations to
the spiked concentration using linear semi-log fitting (see insets
in Figure ).
Figure 5
Representative Langmuir–Freundlich
fits from online multiplexed
assays for (A) CRP and (B) cTnI both spiked in 1% human serum in 0.1
M MES buffer. Insets represents linear semi-log correlation with correlation
coefficients (R2) of 0.978 for CRP and
0.993 for cTnI. Error bars represent standard deviations between three
independent measurements on three different electrodes.
Results
and Discussion
Optimal assay conditions were initially determined
by surveying
the generated Faradaic response to targets as a function of buffer
pH and tag (MB-NHS) concentration being optimal in MES buffer at pH
6.0 (Figure S1), an observation broadly
consistent with known succinimidyl ester coupling efficiencies.[35] Nonspecific labeling was further confirmed using
an SDS-PAGE analysis, where MB-tagged proteins showed a characteristic
fluorescent signal (Figure S2). Simultaneously,
a series of MB-NHS concentrations were tested to achieve a maximum
signal-to-noise ratio, with 10 μg/mL (19 μM final concentration,
5-fold higher than the estimated total serum protein as rationalized
in the Methods section) being optimal and generating a dynamic range
spanning over 5 orders of magnitude (Supplementary Information).These target protein-labeling protocols
showed no significant effect
on the affinity of immobilized antibodies to their respective target
as indicated by SPR analyses (Figure S3); there was no statistically significant difference in the observed
dissociation constants (KD) for MB-labeled
CRP (9.5 × 10–10 M) and free CRP (2.8 ×
10–10 M) comparable to the values obtained from
electrochemical Langmuir–Freundlich fitting (5.0 nM) as an
approximation of the thermodynamic properties of the system.[36] Under these optimized conditions, assays were
then performed by spiking specific concentrations of either CRP or
cTnI into dilute human serum. Samples were tagged by incubating with
MB-NHS for 30 min after vortexing for 10 s prior to reaction quenching
through the addition of ethanolamine and hydroxylamine. Labeled samples
were then incubated with antibody-modified electrodes for 15 min prior
to DPV sweeps in 0.1 M aqueous KCl solution. Good semi-log correlations
were observed between specific CRP/cTnI concentrations and DPV peak
currents (−0.4 V) with detection limits (LOD) of 1 pg/mL (CRP)
and 0.3 pg/mL (cTnI) and dynamic ranges spanning from 1 pg/mL to 100
ng/mL (CRP) and from 0.6 pg/mL to 20 ng/mL for cTnI (Figure ). DPV signals were saturated
thereafter with nonsignificant increments in current densities, indicating
the signal at plateau (Figure S7).
Figure 1
Langmuir–Freundlich
fits of (A) CRP spiked in 1% human serum
in MES buffer and (C) cTnI spiked in 1% human serum in MES buffer.
Representative DPV peaks as function of (B) increasing CRP connection
on anti-CRP-decorated GCE sensors and (D) cTnI at anti-cTnI sensors.
Bottom DPV voltammograms in (B) and (D) are the background signals
from incubation with unspiked 1% HS. Error bars represent standard
deviations between three independent measurements at three different
electrodes. Insets in (A) and (C) are associated linear semi-log correlation
trends with correlation coefficients (R2) of 0.99 and 0.97, respectively.
Langmuir–Freundlich
fits of (A) CRP spiked in 1% human serum
in MES buffer and (C) cTnI spiked in 1% human serum in MES buffer.
Representative DPV peaks as function of (B) increasing CRP connection
on anti-CRP-decorated GCE sensors and (D) cTnI at anti-cTnI sensors.
Bottom DPV voltammograms in (B) and (D) are the background signals
from incubation with unspiked 1% HS. Error bars represent standard
deviations between three independent measurements at three different
electrodes. Insets in (A) and (C) are associated linear semi-log correlation
trends with correlation coefficients (R2) of 0.99 and 0.97, respectively.The ability to robustly differentiate between specific targets
and nonspecific binding was assessed by measuring the voltammetric
response upon challenging sensors with (tagged) common proteins expressed
in human serum, human serum albumin (HSA), fibrinogen, and bovine
serum albumin (BSA). The antibody cross-reactivity was additionally
examined by testing responses to high concentrations of CRP at anti-cTnI-modified
electrodes and vice versa. All observations are indicative of high
levels of selectivity and in agreement with analogous SPR analyses
(Figure and Figure S4). Antibody-free electrodes (BSA-coated)
showed signals less than 5% (less than the assay LOD (blank + 3 ×
SD)) of the specific signals observed for any of the studied proteins
on their respective antibody-modified electrodes (Figure S5). Additionally, repetitive exposure of anti-CRP-
or anti-cTnI-modified electrodes to MB-labeled 1% FBS generates no
change in background signal (remaining <5% of the specific signal),
further confirming that the Faradaic DPV signal is only dependent
on the specific recruitment of target analytes with little contribution
from nonspecific protein adsorption on the electrode surface (Figure , insets).
Figure 2
Electrochemical
specificity analysis for (A) anti-CRP-modified
electrodes and (B) anti-cTnI-modified electrodes in offline single
protein analyses. The response (current density) to a large excess
of interfering species is <10% of the target-specific signal at
anti-CRP interfaces and <20% across both surfaces with all interferents,
indicative of good specificity and low cross-reactivity (without the
need for complex surface chemistry). Insets show the response of the
anti-CRP-modified electrode (A) and the anti-cTnI-modified electrode
(B) upon repetitive exposure to MB-labeled 1% fetal bovine serum.
Such analyses confirm that the signal is target-specific with minimal
(consistently less than the assay LOD (blank + 3 × SD)) contribution
from interfering species. Error bars represent standard deviation
from three independent measurements at three different electrodes.
Note that specificity is yet further improved under flow (Figure S8).
Electrochemical
specificity analysis for (A) anti-CRP-modified
electrodes and (B) anti-cTnI-modified electrodes in offline single
protein analyses. The response (current density) to a large excess
of interfering species is <10% of the target-specific signal at
anti-CRP interfaces and <20% across both surfaces with all interferents,
indicative of good specificity and low cross-reactivity (without the
need for complex surface chemistry). Insets show the response of the
anti-CRP-modified electrode (A) and the anti-cTnI-modified electrode
(B) upon repetitive exposure to MB-labeled 1% fetal bovine serum.
Such analyses confirm that the signal is target-specific with minimal
(consistently less than the assay LOD (blank + 3 × SD)) contribution
from interfering species. Error bars represent standard deviation
from three independent measurements at three different electrodes.
Note that specificity is yet further improved under flow (Figure S8).In an assessment of offline multiplexing, MB-labeled mixtures of
CRP and cTnI (spiked in 1% human serum) were assessed at two electrodes
(one decorated with anti-CRP and the other decorated with anti-cTnI).
The resulting responses (Figure ) are very comparable to those observed with single-protein
spikes, again indicating low levels of interface and antibody cross-reactivity.
Figure 3
Langmuir–Freundlich
fits from offline multiplexed protein
assays as detected from mixed samples of both proteins at a CRP-responsive
sensor (A) and a cTnI-responsive sensor in dilute serum (B). Respective
LODs are 1.0 pg/mL for CRP and 0.6 pg/mL for cTnI. Insets depict associated
linear semi-log correlation plots with correlation coefficients (R2) of 0.95 and 0.94 for CRP and cTn1, respectively.
Error bars represent standard deviations between three independent
measurements on three different electrodes.
Langmuir–Freundlich
fits from offline multiplexed protein
assays as detected from mixed samples of both proteins at a CRP-responsive
sensor (A) and a cTnI-responsive sensor in dilute serum (B). Respective
LODs are 1.0 pg/mL for CRP and 0.6 pg/mL for cTnI. Insets depict associated
linear semi-log correlation plots with correlation coefficients (R2) of 0.95 and 0.94 for CRP and cTn1, respectively.
Error bars represent standard deviations between three independent
measurements on three different electrodes.A microfluidic Y-shaped serpentine mixer was then designed and
utilized to improve sample/reagent mixing and assay time within a
closed low-volume chamber directly accessible by a syringe pump. Initial
assessments were carried out with CRP alone (Figures S6 and S7) and then extended to the simultaneous detection
of both markers spiked into human serum. The inline integration of
two sensor electrodes enables dual-marker quantification (sample-to-answer)
within 15 min without the need for reagent quenching (Figure ); the sample and the MB tag are loaded by pipetting into
their respective chambers prior to mixing by pumping at a preoptimized
flow rate (20 μL/min). The mixture is then incubated at the
electrode chamber for 10 min followed by washing in running 0.1 M
KCl solution at 100 μL/min for 60 s and simultaneous DPV analysis
at both working electrodes. Under such conditions, assay specificity
is further improved from that observed in the offline/static solution
assay as indicated by the notably lower response to interfering species
(<10% for both anti-CRP- and anti-cTnI-modified electrodes; Figure S8). This improved performance within
the confines of a flowing microfluidic platform probably arises from
a mixture of improved mass transport and a greater suppression of
nonspecific adsorption as afforded by the enhanced mixing and washing.[37,38]Schematic
representation of the microfluidic chip used for sample
handling and electrochemical detection. The chip encompasses an electrode
compartment that houses two working disc electrodes (6.4 mm outer
diameter) with reference Ag/AgCl and counter platinum electrodes.
The electrode compartment is connected to a mixing serpentine channel
designed to mix samples and reagents pumped from their respective
chambers. Forty microliters of sample and reagent are loaded into
these chambers through an injection port. This is then closed using
adhesive tape and connected, using flexible tubing, to a syringe pump
programmed for 5 min of flow through the serpentine channel, 10 min
of incubation, and 1 min of washing.The online microfluidic protein configuration supports very high
levels of assay reproducibility and accuracy with linear dose–response
trends (Figure and Figure S9) across 1.0–100 ng/mL CRP and 3–62.5 ng/mL cTnI dynamic
ranges. Standard deviations between three independent measurements
on three different sensor electrodes per protein target were less
than 10%, indicating very good levels of reproducibility. An analysis
of assay accuracy, as tested by spiked recovery experiments in serum,
demonstrated high diagnostic performance (Tables and 2). To confirm
that these peaks were Ab-Ag interaction-specific, bare electrodes
were exposed to free and MB-tagged proteins. Electrodes showed no
Faradaic responses to free proteins, while large signals were observed
for all MB-tagged proteins, confirming a robust tagging protocol (Figure S12).
Table 1
Spike Recovery of CRP in 1% Human
Serum
added CRP conc. (pg/mL)
recovered conc. (pg/mL)
percent recovery
261
308
118%
661
664
100%
761
762
100%
1761
1626
92%
Table 2
Spike Recovery of
cTnI in 1% Human
Serum
added cTnI conc. (pg/mL)
recovered conc. (pg/mL)
percent recovery
110
118
107%
466
485
104%
1152
1095
95%
1728
1784
103%
Representative Langmuir–Freundlich
fits from online multiplexed
assays for (A) CRP and (B) cTnI both spiked in 1% human serum in 0.1
M MES buffer. Insets represents linear semi-log correlation with correlation
coefficients (R2) of 0.978 for CRP and
0.993 for cTnI. Error bars represent standard deviations between three
independent measurements on three different electrodes.
Patient Sample Analysis
The simultaneous
detection of CRP and cTnI can greatly enhance
early detection, reducing mortality and improving treatment outcome
for cardiovascular disease (CVD).[39−41] The analyses above,
with detection limits as low as 0.6 pg/mL in serum and dynamic ranges
spanning over 6 orders of magnitude, compare favorably with most recent
electrochemical platforms for sensing of CRP and cTnI,[41] requiring only 25 μL/assay and 15 min
of total analytical time (sample dilution to readout; well below recognized
guidelines recommending an analysis within 1 h of patient admittance,
a target that challenges the sensitivity of current clinically available
methods).[42] To demonstrate the clinical
applicability of the proposed assay, randomized patient samples were
analyzed and estimated concentrations of CRP and cTnI were compared
to immunoassay results from an Abbott Architect system (Figure ). Both CRP (Figure A) and cTnI (Figure B) analyses show a good correlation;
correlation coefficient and slopes were near unity and intercept close
to zero (Figure S10).
Figure 6
Blind comparison of CRP
concentrations (A) and cTnI concentrations
(B) estimated using the shotgun protein-tagging assay against a reference
immunoassay for 12 patient samples (asterisks represent samples where
cTnI levels were lower than the immunoassay LOD, i.e., <2 pg/mL).
Error bars represent standard deviations from two independent measurements
on two different electrodes.
Blind comparison of CRP
concentrations (A) and cTnI concentrations
(B) estimated using the shotgun protein-tagging assay against a reference
immunoassay for 12 patient samples (asterisks represent samples where
cTnI levels were lower than the immunoassay LOD, i.e., <2 pg/mL).
Error bars represent standard deviations from two independent measurements
on two different electrodes.
Conclusions
We have presented a facile single-step assay for the electrochemical
detection of two common cardiac biomarker proteins, CRP and cTnI,
as model protein targets. The methodology omits any complex or cost-intensive
steps involved in developing specifics (e.g., antibody-based labels)
while providing a signal turn-on assay and high specificity format
that combines the advantages of label-free and sandwich-type assays.
It can readily be applied to different target proteins within a sample,
making it a very accessible and cost-effective means of multimarker
quantification. The assays achieve very low detection limits (<1
pg/mL) and dynamic ranges spanning over 5–6 orders. Minimum
user intervention and >15 min assay times are achieved via integration
within a semiautomated microfluidic format. Clinical applicability
has further been demonstrated with a blind patient sample recovery
analysis, which showed an excellent correlation to standard immunoassay
results for both markers with a notable ability to resolve ultralow
concentrations of cTnI. The proposed methodology is of general applicability,
operates well in complex biological samples, and is of low cost (below
USD 5/sample consumable cost compared to USD 35/sample for conventional
ELISA).[43] Microfluidic integration offers
a potentially fully automated and highly scalable application to point-of-care
use with minimum user training. We believe this study to be of value
in both further extending the realm of electrochemical biosensing
methodologies and contributing to the challenge of finding smart solutions
for societal healthcare needs.
Authors: Fred S Apple; Alan H B Wu; Yader Sandoval; Anne Sexter; Sara A Love; Gary Myers; Karen Schulz; Show-Hong Duh; Robert H Christenson Journal: Clin Chem Date: 2020-03-01 Impact factor: 8.327
Authors: Akbar Khanmohammadi; Ali Aghaie; Ensieh Vahedi; Ali Qazvini; Mostafa Ghanei; Abbas Afkhami; Ali Hajian; Hasan Bagheri Journal: Talanta Date: 2019-08-10 Impact factor: 6.057