Sickle cell disease (SCD) is a group of common, life-threatening disorders caused by a point mutation in the β globin gene. Early diagnosis through newborn and early childhood screening, parental education, and preventive treatments are known to reduce mortality. However, the cost and complexity of conventional diagnostic methods limit the feasibility of early diagnosis for SCD in resource-limited areas worldwide. Although several point-of-care tests are commercially available, most are antibody-based tests, which cannot be used in patients who have recently received a blood transfusion. Here, we describe the development of a rapid, low-cost nucleic acid test that uses real-time fluorescence to detect the point mutation encoding hemoglobin S (HbS) in one round of isothermal recombinase polymerase amplification (RPA). When tested with a set of clinical samples from SCD patients and healthy volunteers, our assay demonstrated 100% sensitivity for both the βA globin and βS globin alleles and 94.7 and 97.1% specificities for the βA globin allele and βS globin allele, respectively (n = 91). Finally, we demonstrate proof-of-concept sample-to-answer genotyping of genomic DNA from capillary blood using an alkaline lysis procedure and direct input of diluted lysate into RPA. The workflow is performed in <30 min at a cost of <$5 USD on a commercially available benchtop fluorimeter and an open-source miniature fluorimeter. This study demonstrates the potential utility of a rapid, sample-to-answer nucleic acid test for SCD that may be implemented near the point of care and could be adapted to other disease-causing point mutations in genomic DNA.
Sickle cell disease (SCD) is a group of common, life-threatening disorders caused by a point mutation in the β globin gene. Early diagnosis through newborn and early childhood screening, parental education, and preventive treatments are known to reduce mortality. However, the cost and complexity of conventional diagnostic methods limit the feasibility of early diagnosis for SCD in resource-limited areas worldwide. Although several point-of-care tests are commercially available, most are antibody-based tests, which cannot be used in patients who have recently received a blood transfusion. Here, we describe the development of a rapid, low-cost nucleic acid test that uses real-time fluorescence to detect the point mutation encoding hemoglobin S (HbS) in one round of isothermal recombinase polymerase amplification (RPA). When tested with a set of clinical samples from SCDpatients and healthy volunteers, our assay demonstrated 100% sensitivity for both the βA globin and βS globin alleles and 94.7 and 97.1% specificities for the βA globin allele and βS globin allele, respectively (n = 91). Finally, we demonstrate proof-of-concept sample-to-answer genotyping of genomic DNA from capillary blood using an alkaline lysis procedure and direct input of diluted lysate into RPA. The workflow is performed in <30 min at a cost of <$5 USD on a commercially available benchtop fluorimeter and an open-source miniature fluorimeter. This study demonstrates the potential utility of a rapid, sample-to-answer nucleic acid test for SCD that may be implemented near the point of care and could be adapted to other disease-causing point mutations in genomic DNA.
Sickle cell disease
(SCD) comprises a group of inherited blood
disorders characterized by at least one βS globin
allele and a second pathogenic globin variant that results in the
predominant formation of hemoglobin S (HbS).[1] Abnormal polymerization of HbS distorts red blood cells into a sickle
shape, causing anemia, painful vaso-occlusion, and death. SCD disproportionately
affects persons living in low- and middle-income countries (LMICs),
with 75% of affected individuals residing on the African continent.[2] Despite substantial evidence for the efficacy
of early screening programs, the majority of children in sub-Saharan
Africa are never tested for SCD or receive a diagnosis only after
complications arise.[3] As a result, an estimated
50–80% of babies born with SCD in Africa die before the age
of 5, and the vast majority die without ever having the correct diagnosis.[3]Although life-saving preventive care and
treatment for SCD are
available,[4] the complexity of conventional
diagnostic tools for SCD is a major impediment to universal newborn
screening in LMICs. Most conventional diagnostics for SCD identify
the presence of normal (HbA) or the major abnormal (HbS, HbC) hemoglobins
resulting from the genotypes AA (wild type), AS (sickle cell trait),
SS (sickle cell anemia), and SC (hemoglobin SC disease). These methods
include electrophoresis, isoelectric focusing (IEF), and high-performance
liquid chromatography (HPLC), all of which require expensive equipment
and trained personnel. Sickle cell anemia comprises the vast majority
of disease burden, has the worst clinical outcome, and is the focus
of most point-of-care diagnostic efforts.[5,6]Several point-of-care devices are becoming available to reduce
the necessary infrastructure challenges and cost, including tests
based on hemoglobin solubility[7,8] and detection of hemoglobin
A or S.[9] However, any test that detects
hemoglobin proteins cannot be used in recently transfused patients,
as blood transfusions contain globin proteins from the donor.[8,10−14] Because many patients with SCD require blood transfusions, often
before they are diagnosed, this is a limitation that contributes to
delays in diagnosis.[12,15] Additionally, some tests have
difficulty diagnosing newborns, who have high concentrations of fetal
hemoglobin (HbF) and low HbS.[4,16] In contrast to protein-based
assays, DNA analysis targets the genetic basis of the disease by identifying
point mutations in the β globin gene and is therefore unaffected
by transfusions or high concentrations of HbF. DNA analysis is the
most reliable approach to diagnose hemoglobin disorders and the only
reliable method to confirm SCD diagnosis in patients who have recently
received blood transfusions.[12,15] However, DNA analysis
for SCD is not available at the point of care because of its cost
and complexity.Molecular techniques have previously been employed
to detect β
globin gene mutations using polymerase chain reaction (PCR) in combination
with allele-specific amplification using one of several specificity-enhancing
strategies, including the amplification refractory mutation system
(ARMS)[17] and locked nucleic acids (LNAs).[18,19] ARMS introduces a deliberate mismatch, chosen according to the strength
of the mismatch at the 3′-terminus, to destabilize the primer
and enhance the specificity of amplification.[20] A locked nucleic acid (LNA) is a nucleic acid analog with a 2′-O,
4′-C methylene bridge that locks the ribose moiety into a C3′-endo
conformation, which enhances mismatch discrimination in comparison
to DNA-only primers.[18] To reduce instrumentation
requirements, recent efforts to detect DNA point mutations for other
diseases at the point of care have explored the use of isothermal
amplification techniques with LNAs, peptide nucleic acids (PNAs),
and ARMS.[21,22] However, these approaches have required
either complex primer design or multiple rounds of amplification,
which increases the likelihood of workspace contamination with amplified
DNA. Moreover, these approaches have not yet addressed sample preparation,
which is a significant challenge for all low-resource nucleic acid
tests. Recent advances in DNA extraction methods for nucleic acid
tests have used paper extraction matrices and simple buffers to release
DNA from crude samples,[23−30] but methods for isolation of genomic DNA from whole blood have not
been widely reported.In this paper, we present a strategy to
directly detect the point
mutation that gives rise to the most common variant form of β
globin, βS(Glu6Val) (Figure A), in a single round of isothermal recombinase
polymerase amplification (RPA) and within 20 minutes. First, we describe
an allele-specific amplification primer that incorporates a penultimate
LNA to increase its affinity for its complementary sequence. Then,
we combine the results of two real-time RPA reactions, one for the
βA allele and one for the βS allele,
to yield a determination of the patient genotype (Figure B). The RPA reactions contain
a sequence-specific fluorescent “exo” probe, which is
cleaved to produce fluorescence when amplification occurs (Figure C).
Figure 1
Overview of assay design.
(A) Variant forms of hemoglobin are produced
when a single base substitution changes the sixth amino acid in the
β chain of hemoglobin. (B) Amplification pattern produced by
each reaction in response to patient genotype (green check: amplification;
red X: no amplification). (C) Schematic showing the overall detection
scheme of the assay using an allele-specific forward primer with LNA
placed at the penultimate nucleotide, a fluorescent probe, and a common
reverse primer (tetrahydrofuran (THF); locked nucleic acid (LNA)).
Overview of assay design.
(A) Variant forms of hemoglobin are produced
when a single base substitution changes the sixth amino acid in the
β chain of hemoglobin. (B) Amplification pattern produced by
each reaction in response to patient genotype (green check: amplification;
red X: no amplification). (C) Schematic showing the overall detection
scheme of the assay using an allele-specific forward primer with LNA
placed at the penultimate nucleotide, a fluorescent probe, and a common
reverse primer (tetrahydrofuran (THF); locked nucleic acid (LNA)).We evaluate the ability of the allele-specific
RPA reactions to
detect the presence or absence of the βA and βS alleles in a set of 109 extracted genomic DNA samples of
clinically relevant genotypes AA, SS, SC, Sβ+, and
Sβ0. Results show that the assay identifies patients
with the genotypes relevant to the majority of SCD management (AA,
AS, and SS) with >95% accuracy, and predicts the correct genotype
for SS patients with recent blood transfusion. Next, we show that
the volume of the reactions can be reduced by at least half to substantially
reduce per-test cost with minimal effect on assay performance, using
clinically relevant numbers of gene copies expected from a capillary
blood sample. Finally, we demonstrate proof of concept on two low-resource
isothermal platforms for the sample-to-answer selective detection
of the βA allele from a 50 μL sample of capillary
blood using a two-step, room-temperature alkaline lysis method to
release genomic DNA from white blood cells.
Experimental Section
Primer
Screen
A primer screen was performed in two
steps: (1) unmodified forward and reverse primer candidates purchased
from Integrated DNA Technologies (Coralville, Iowa) were screened
in reactions with a fluorogenic probe designed according to RPA specifications
and purchased from Biosearch Technologies (Novato, CA) (Table S1). These primers were screened to identify
sequences that amplified the desired section of the β globin
gene with the best efficiency (data not shown). (2) Eight versions
of the chosen forward primer sequence, containing ARMS and/or up to
three LNA modification(s), were designed and purchased from Qiagen
(Germantown, MD) or Integrated DNA Technologies. Candidate forward
primers were screened for their ability to selectively amplify target
DNA containing the βS point mutation (Table S2). Additional details regarding the primer
screen can be found in the Supporting Information.
Whole Blood Samples
Study protocols were reviewed and
approved by the Institutional Review Boards at the Rice University
and Baylor College of Medicine. Venous and capillary blood samples
were obtained from healthy volunteers under a protocol approved by
the Rice University IRB (2017–303); these samples were assumed
to be AA genotype. Volunteers provided written informed consent prior
to study participation. Venous blood samples from patients with varying
genotypes seen in the Sickle Cell Program at Texas Children’s
Hematology Center were collected and deidentified under an exempt
protocol approved by the Rice University and Baylor College of Medicine
IRBs (H-35374 Version 6.2). Genotypes, as determined by qualitative
IEF combined with quantitative HPLC to confirm a diagnosis, were provided
with the blood samples. HbF percentages were available for 28 of the
75 samples received from the Sickle Cell Program, and the percentage
of HbF in those samples ranged from 0 to 23.5%. Additionally, at least
15 samples were from patients who were on chronic transfusion or had
a recent transfusion. Blood samples were collected in ethylenediaminetetraacetic
acid (EDTA) anticoagulant tubes and were stored at 4 °C for up
to 4 weeks prior to testing. Samples with discordant clinical results
were submitted for Sanger sequencing. For each discordant sample,
a 262-bp portion of the β globin gene containing the mutation
of interest was amplified in-house by PCR and Sanger-sequenced by
GENEWIZ (South Plainfield, NJ).
Extraction of Genomic DNA
from Clinical Samples
Extraction
of genomic DNA from venous and capillary samples was performed using
the Qiagen DNA Micro Kit (56304) according to the manufacturer’s
instructions. Purified DNA was eluted in either 50 or 100 μL
of buffer AE, and DNA concentration was estimated using a NanoDrop
(ND-1000). DNA was stored at −20 °C until use and was
diluted to working concentrations in nuclease-free water immediately
prior to experiments.
Lysis of Blood Cells in Capillary Blood Samples
Sodium
hydroxide (NaOH, 10 N) was purchased from Fisher Scientific (SS267)
and used to prepare 0.4 N NaOH. To lyse cells and release genomic
DNA, 50 μL of whole blood was combined with 50 μL of 0.4
N NaOH and mixed by pipetting. The solution was incubated at room
temperature for 5 min. The lysate was diluted 1:100 in nuclease-free
water before being added directly to RPA reactions. No-lysis controls
(NLCs) were prepared according to the same protocol with nuclease-free
water substituted for NaOH.
Real-Time RPA: Assay Setup
TwistAmp
exo RPA kits were
purchased from TwistDx, Limited (Maidenhead, U.K., TAEXO02KIT). All
primers and probes were prepared at 10 μM working concentrations
in 1× TE buffer. Fifty-microliter reactions were performed to
characterize the assay using representative samples and test clinical
samples. For each 50 μL reaction, 37.5 μL of a master
mix containing 29.5 μL of rehydration buffer, 1.5 μL of
allele-specific forward primer, 1.5 μL of reverse primer, 2.1
μL of probe, and 2.9 μL of water was added to an enzyme
pellet within an 8-tube strip provided by the manufacturer and the
solution was pipetted to mix. Magnesium acetate (2.5 μL) was
added to tube caps as per the manufacturer’s recommendations.
Ten microliters of DNA template in nuclease-free water was added,
containing 102, 103, 104, or 105 copies of DNA, depending on the experiment. For clinical
sample testing, 103 copies of purified genomic DNA were
added to each allele-specific reaction.For reduced-volume (<50
μL) reactions, standard manufacturer-recommended volumes of
rehydration buffer, primers, probe, MgOAc, and water were combined
in a master mix that was prepared on ice. The appropriate number of
enzyme pellets was added to the master mix last, and the solution
was gently vortexed to ensure even distribution of enzymes. Master
mix, scaled down proportionally to 80% v/v of the total desired reaction
volume, was added to each tube, and the appropriate volume of DNA
template (20% v/v) was added to the caps. When DNA was added as a
target to reduced-volume reactions, the copy number was kept the same
(i.e., the concentration increased); target DNA added to reactions
was either 10–104 copies of DNA in nuclease-free
water or diluted crude blood lysate, depending on the experiment.
To begin all reactions, tube strips were vortexed, briefly spun to
combine the material in the caps with the volume in the tubes, and
vortexed again before incubation in an isothermal fluorimeter. A T8-ISO
isothermal fluorimeter (Axxin Pty, Ltd.) was used for real-time detection
of amplification in most experiments. Additional details regarding
instrumentation are provided in the Supporting Information.
Analysis of Real-Time Data
Samples
were classified
as positive or negative based on unprocessed fluorescence intensity,
reported by the T8-ISO in millivolts (mV) vs time. A sample was considered
positive (i.e., containing the allele complementary to the primer)
if the fluorescence intensity reached 2500 mV in 20 min and considered
negative (i.e., not containing the allele complementary to the primer)
otherwise. All runs of the instrument included a positive and negative
control. If either control was not valid, the other results from that
master mix were to be considered invalid; however, this was not observed
during the course of this study. Raw amplification data from all experiments
were exported and analyzed in Microsoft Excel, version 16.40, and
GraphPad Prism, version 8.4.3. Amplification curves in figures are
shown with relative fluorescence units (RFUs) for clarity, where 1
RFU = 1 mV as reported by the T8-ISO.
Results and Discussion
Point
Mutation Detection by RPA
We designed and screened
versions of an RPA forward primer that had specificity-enhancing modifications
to allow the selective amplification of template with single-nucleotide
mutations. Allele-specific primers screened were designed with the
3′ end located on the βS globin mutation (Table S2). The primer that showed the best specificity
was used in subsequent experiments; this primer was designed with
the allele-specific nucleotide at the 3′ end of the primer
and a single LNA at the penultimate position relative to the 3′
end (SC_fP4).To observe the effect of the LNA in the primer,
we first amplified DNA that simulated genotypes AA and SS, as described
in the Supporting Information, in triplicate
with two versions of the primer specific to the βS mutation: one having a normal nucleotide in place of the LNA (Figure A; SC_fP-S) and therefore
just a single mismatch with the βA template at the
3′ end, and the other with the 3′ mismatch as well as
the penultimate LNA as designed from the primer screen (Figure B; SC_fP4). As shown in Figure A, no selectivity
was observed with the allele-specific primer—both targets amplified
with roughly equal efficiency, despite the mismatch between the primer
and target that was present in the AA samples. In contrast, Figure B shows that including
the LNA modification at the penultimate nucleotide location resulted
in robust selective amplification with only a slight delay in amplification
compared to the allele-specific primer. We believe that the exonuclease
present in RPA exo reactions cleaves the mismatched nucleotide when
it is located at the 3′ end of the primer without an LNA. However,
the presence of the LNA at the penultimate position likely generates
complete nuclease resistance and prevents the cleaving of the mismatched
nucleotide.[31]
Figure 2
Impact of LNA modification
on reaction specificity using 104 input copies of DNA-simulating
genotypes AA and SS. Primer
screen amplification curves with (A) βS allele-specific
primer (no LNA) and (B) βS allele-specific primer
with penultimate LNA.
Impact of LNA modification
on reaction specificity using 104 input copies of DNA-simulating
genotypes AA and SS. Primer
screen amplification curves with (A) βS allele-specific
primer (no LNA) and (B) βS allele-specific primer
with penultimate LNA.Next, the allele-specific
primer with LNA was modified to be complementary
to the βA allele, and DNAs of genotypes AA, SS, and
AS were tested in duplicate with either the βA or
the βS version of the primer to evaluate the feasibility
of using two concurrent allele-specific reactions to predict a patient’s
genotype. Figure S1 shows the amplification
curves with 104 input copies of simulated patient DNA of
genotypes AA, AS, and SS. AA DNA produced strong amplification only
in the βA allele reaction, SS DNA produced strong
amplification only in the βS allele reaction, and
AS DNA showed amplification in both reactions. The assay showed robust
allele specificity over a dynamic range of 5 orders of magnitude,
with a limit of detection of 10–100 copies (data not shown),
demonstrating utility beyond the clinically relevant range of genome
copies expected from a blood sample.
Assessing Accuracy with
Patient Samples
Next, we evaluated
the clinical sensitivity and specificity of our assay with DNA extracted
from whole blood samples from both sickle cell patients and healthy
volunteers. Samples from 34 healthy volunteers and 75 SCDpatients
(109 total) were tested in the developed assay. Genomic DNA was extracted
and purified from 34 AA samples, 59 SS samples, 7 SC samples, 5 Sβ0 samples, and 4 Sβ+ samples; the extracted
DNA was added to each of the two RPA reactions of the developed assay
at a concentration of 1000 gene copies per reaction. Representative
amplification curves of three AA samples and three SS samples are
shown in Figure .
DNA extracted and purified from clinical samples resulted in amplification
in 10–15 min.
Figure 3
Representative amplification curves of purified genomic
DNA from
clinical samples with 1000 copies input into the reaction using (A)
βA allele primer and (B) βS allele
primer. Amplification curves resulting from three samples of each
genotype are shown.
Representative amplification curves of purified genomic
DNA from
clinical samples with 1000 copies input into the reaction using (A)
βA allele primer and (B) βS allele
primer. Amplification curves resulting from three samples of each
genotype are shown.Five samples were submitted
for Sanger sequencing due to discordant
results for allele detection. Results showed that two samples were
heterozygous for both the A and S alleles at the mutation site despite
an SS diagnosis; these two samples were likely contaminated by amplicons
in the laboratory workspace during purification, so they were excluded
from further analysis. The sensitivity and specificity of the allele-specific
reactions to identify the presence of the βA and
βS alleles were calculated (Table ) using data from the remaining 91 samples
that were either AA or SS. Sensitivity was shown to be 100% for both
alleles; specificity was calculated to be 94.7 and 97.1% for the βA globin and βS globin alleles, respectively.
Table 1
Sensitivity, Specificity,
and Accuracy
as Calculated by Allele
sensitivity
specificity
accuracy
βA allele detection
100.0% (34/34)
94.7% (54/57)
96.7% (88/91)
βS allele detection
100.0% (57/57)
97.1% (33/34)
98.9% (90/91)
Table A shows a
confusion matrix of the genotype predicted by the developed assay
(left) compared to the genotypes reported by standard-of-care IEF
and HPLC (top). The assay correctly predicted the genotype of 87/91
of the samples with AA and SS genotypes, exhibiting an accuracy of
95.6%. No samples tested returned a negative result in both reactions.
The sensitivity and specificity of the assay to predict AA and SS
genotypes were evaluated (Table B). The assay predicted the AA genotype with 97.1%
sensitivity and the SS genotype with 94.7% sensitivity. Specificity
was 100% for the prediction of both genotypes.
Table 2
Clinical Results by Genotypea,b
IEF/HPLC
A
AA
AS
SS
total
B
sensitivity
specificity
accuracy
assay predictions
AA
33
0
0
33
AA
97.1% (33/34)
100.0% (57/57)
95.6% (87/91)
AS
1
0
3
4
SS
0
0
54
54
SS
94.7% (54/57)
100.0% (34/34)
total
34
0
57
91
(A) Confusion matrix of genotypes
identified by this assay compared to those obtained by IEF/HPLC gold
standard for the 91 AA and SS samples.
(B) Sensitivity, specificity, and
overall accuracy by genotype.
(A) Confusion matrix of genotypes
identified by this assay compared to those obtained by IEF/HPLC gold
standard for the 91 AA and SS samples.(B) Sensitivity, specificity, and
overall accuracy by genotype.Through the evaluation of 16 clinical samples with other hemoglobinopathies,
including Sβ0, Sβ+, and SC, we conclude
that the RPA assay is unable to detect hemoglobinopathies beyond the
βA globin and βS globin alleles
for which it was designed (Figure S3 and Table S3). This is a challenge faced by most point-of-care SCD tests
as β thalassemia can be caused by hundreds of mutations and
deletions.[4,32]To directly assess the potential of
the RPA assay to be used in
cases with recent blood transfusion, blood samples were acquired from
three SS patients who had received a blood transfusion within the
previous 3 months. The blood samples were tested with two commercially
available antibody tests, Sickle SCAN (BioMedomics, Inc.) and HemoTypeSC
(Silver Lake Research), according to the manufacturer’s instructions,
and DNA extracted from the samples was tested in the RPA assay (Figure S2). Results indicate that both the Sickle
SCAN and HemoTypeSC assays misidentified all three samples asAS (Figure S2A,B), while the RPA assay correctly
identified all three samples as SS (Figure S2C,D).
Toward a Sample-To-Answer Test
To reduce assay cost
and complexity, we reduced the volume of the RPA reactions and utilized
a two-step lysis procedure that yielded crude lysate to be directly
input to the small volume reactions. Because the RPA reagents make
up the vast majority of the overall per-test cost, reducing the reaction
volume can reduce the cost of the assay considerably (Figure S4 and Table S4). Recent literature suggests
that reaction volume can be reduced to as little as 5 μL without
a significant loss of performance.[33] We
therefore tested a range of reaction volumes from 5 to 50 μL
(Figure S5). Amplification was evident
at all volumes tested in this range, though the fluorescence vs time
plots for volumes below 20 μL exhibited significant noise. The
Axxin T8 is specified for use with reaction volumes of 30 μL
or greater, and interference at lower volumes is likely due to the
scattering of light on the reaction meniscus as well as bubbles caused
by ball agitation. Based on these results, a reaction volume of 25
μL was selected for further experiments.Figure shows the amplification of
synthetic templates simulating the genotypes AA and SS in 25 μL
of reactions at concentrations ranging from 10 to 104 gene
copies per reaction. With a 25 μL reaction volume, the assay
has a dynamic range of 3–4 orders of magnitude and maintains
single-nucleotide specificity.
Figure 4
Amplification of synthetic templates of
genotypes AA and SS at
a range of input concentrations, with 25 μL reaction volumes
with (A) βA allele primer and (B) βS allele primer.
Amplification of synthetic templates of
genotypes AA and SS at
a range of input concentrations, with 25 μL reaction volumes
with (A) βA allele primer and (B) βS allele primer.Next, we implemented
a two-step lysis procedure that is simple
to perform and is also compatible with direct amplification in RPA
after a dilution step for sample-to-answer testing. The lysis procedure
is modified from Rudbeck et al.[34] and consists
of combining 50 μL of capillary whole blood with 50 μL
of 0.4 N NaOH, incubating at room temperature for 5 min, and then
diluting the lysate 1:100 in nuclease-free water prior to direct addition
to RPA reactions. Similar methods have been used prior to loop-mediated
isothermal amplification.[35] Incubation
at alkaline pH rapidly disrupts cell and nucleus membranes, denatures
nucleases, and dissolves DNA. A 1:100 dilution step is necessary following
lysis to dilute the components of whole blood that inhibit RPA to
levels tolerated by the assay, while still maintaining a high enough
concentration of DNA to fall within the dynamic range of the assay.We experimentally verified the ability to detect the expected number
of gene copies within diluted lysate (180–495 gene copies per
25 μL of reaction, as detailed in the Supporting Information). Capillary blood samples were obtained from three
healthy volunteers and were subjected to the two-step lysis procedure
followed by direct amplification of diluted crude lysate in RPA. This
experiment was performed without mixing or with a brief vortex at
4 min, rather than with a mixing ball as in previous experiments,
to further reduce the material requirements of the assay. Samples
from healthy volunteers with genotype AA positively amplify in the
βA allele reaction (Figure A,C) but not in the βS allele
reaction (Figure B,D).
This indicates that lysis by NaOH, coupled with the allele-specific
amplification assay, provides DNA of sufficient quality and quantity
to both amplify in the assay and achieve allelic discrimination. Consistent
with others’ observations,[33] a mix
at 4 min provided a small performance boost in time to amplification
and repeatability of technical replicates as compared to a no-mixing
condition (Figure C).
Figure 5
Amplification results of diluted crude lysate from normal volunteers
using each allele-specific primer. (A−B) Average fluorescence
of three replicates of each lysate sample with (A) the βA allele primer or (B) the βS allele primer;
shading denotes 1 standard deviation. The dip in fluorescence at 4
min reflects the removal of the samples to vortex. (C) Time to positivity
for the βA allele reaction results in part (A) and
results from the same experiment performed without mixing; (D) time
to positivity for the βS allele reaction results
in part (B) and results from the same experiment performed without
mixing. Error bars denote 1 standard deviation. NTC: no-target control;
NLC: no-lysis control; *: p < 0.05, **: p < 0.01, ns: not significant. (E) Lysate from a normal
volunteer in a 25 μL RPA reaction with each allele-specific
primer performed on an open-source miniature fluorimeter. (F) Photo
of all materials needed to run the assay. From left to right: P200
pipette; P20 pipette, pipette tips, NaOH, gauze pad, RPA enzyme pellets,
miniature fluorimeter, alcohol pad, MgOAc, and RPA rehydration buffer;
2-mm lancet; primer mix; and 1.5-mL microtainer EDTA-coated capillary
blood collection tube.
Amplification results of diluted crude lysate from normal volunteers
using each allele-specific primer. (A−B) Average fluorescence
of three replicates of each lysate sample with (A) the βA allele primer or (B) the βS allele primer;
shading denotes 1 standard deviation. The dip in fluorescence at 4
min reflects the removal of the samples to vortex. (C) Time to positivity
for the βA allele reaction results in part (A) and
results from the same experiment performed without mixing; (D) time
to positivity for the βS allele reaction results
in part (B) and results from the same experiment performed without
mixing. Error bars denote 1 standard deviation. NTC: no-target control;
NLC: no-lysis control; *: p < 0.05, **: p < 0.01, ns: not significant. (E) Lysate from a normal
volunteer in a 25 μL RPA reaction with each allele-specific
primer performed on an open-source miniature fluorimeter. (F) Photo
of all materials needed to run the assay. From left to right: P200
pipette; P20 pipette, pipette tips, NaOH, gauze pad, RPA enzyme pellets,
miniature fluorimeter, alcohol pad, MgOAc, and RPA rehydration buffer;
2-mm lancet; primer mix; and 1.5-mL microtainer EDTA-coated capillary
blood collection tube.Finally, the diluted
lysate from a normal volunteer was tested
in 25 μL reactions on a miniature, low-cost, open-source fluorimeter
designed to be used near the point of care with any conventional heat
block.[36]Figure E shows clear amplification in the βA allele reaction only, correctly genotyping this sample as
AA. Figure F shows
all of the components necessary for the workflow. When evaluated in
a laboratory setting using the items pictured in Figure F, capillary blood collection
required 5 min, lysis required 5 min, and amplification and detection
were accomplished in 20 min. The assay was reasonably accomplished
in a laboratory setting in 30 min. Compatibility of this assay with
a low-cost, open-source fluorimeter overcomes traditional cost barriers
associated with fluorimeters while maintaining the advantages of real-time
detection. These advantages include the potential for quantitation,
the ability to build in an algorithm with result readout, and the
ability to discard closed tubes after amplification, limiting the
possibility of cross-contamination.Table S4 details the costs associated
with one patient test in the sample-to-answer, reduced-volume format.
The total cost of consumables in each complete assay is less than
$5 USD, which is comparable to the cost of an immunoassay and considerably
cheaper than sequencing. To implement this test with minimal end-user
manipulation and meet the World Health Organization’s ASSURED
criteria for SCD testing,[4] a lysis module
could be incorporated. The lysis module could contain prealiquoted
lysis buffer and feature a foil pouch that, when punctured, would
transfer lysate into tubes containing lyophilized RPA reactions for
amplification.
Conclusions
In conclusion, we demonstrated
a novel strategy for rapid isothermal
detection of the βA and βS alleles
that shows >94% sensitivity and specificity with a set of 91 genomic
DNA samples from individuals with AA and SS genotypes. Additionally,
we have shown that the method is compatible with nucleic acid amplification
directly from crude lysate obtained with a commonly available alkaline
lysis agent. The sample-to-answer method takes less than 30 min from
blood collection to result, costs less than $5 USD with the potential
for further cost reduction, and has a low risk of workspace contamination
because samples remain enclosed throughout the amplification and detection
portion of the test. Additionally, the assay can be run using a T8-ISO,
a small, portable benchtop instrument that is easily battery-operated
and deployable in the field, as well as a miniature, low-cost, open-source
fluorimeter that can be used with any heat block.This work
adds growing evidence to the literature that RPA is in
fact suitable for discriminating highly similar DNA sequences. In
addition, the demonstration that RPA can be successful following NaOH-based
lysis adds to previous findings that very simple lysis methods may
be used to obtain genomic DNA from whole blood in preparation for
isothermal amplification reactions. Our work also suggests that RPA
is tolerant to whole blood lysate when genomic DNA is the target,
likely due to the high concentration of genomic DNA present in lysed
blood. This finding has important implications for other targets of
interest in genomic DNA.This assay has several limitations
that should be addressed in
future work. First, two separate reactions are currently required
to differentiate A and S templates. Our initial attempts to multiplex
were unsuccessful due to a difficult self-dimer region close to the
mutation, hindering efforts to design an allele-specific primer in
the reverse direction. However, if multiplexing could be accomplished,
the cost of the assay would be reduced by almost half. In addition,
hemoglobin variants besides βS are not detected with
this version. Although the βS allele is responsible
for the vast majority of disease burden in resource-limited settings,[15,37] the βC allele is the second most common hemoglobin
variant and is particularly prevalent in West African populations.[38] The assay described here classifies SC genetic
material asAS, yet it is important to discriminate between these
two genotypes because SC has clinical implications that require treatment,
whereas AS does not. Therefore, future work will incorporate the detection
of the βC allele and will explore self-contained
lateral flow detection, a design that will allow multiplexing.The nucleic acid test described here can be readily adapted to
other point mutations, such as other clinically relevant rare hemoglobin
variants that have become geographically concentrated in documented
patterns due to global migration patterns (e.g., βD, βE, or βO).[39] This test has the potential to streamline diagnosis of
SCDpatients who have recently undergone a blood transfusion, with
a comparable cost to protein-based tests, and could potentially be
used to monitor the effectiveness of some emerging gene therapy treatments.
Finally, the primer design strategy described could become a platform
for other point mutation applications, including other known β
thalassemia mutations, drug resistance in highly conserved sequences,
and cancer mutations.
Authors: Jennifer Michlitsch; Mahin Azimi; Carolyn Hoppe; Mark C Walters; Bertram Lubin; Fred Lorey; Elliott Vichinsky Journal: Pediatr Blood Cancer Date: 2009-04 Impact factor: 3.167
Authors: Nathaniel Z Piety; Xiaoxi Yang; Julie Kanter; Seth M Vignes; Alex George; Sergey S Shevkoplyas Journal: PLoS One Date: 2016-01-06 Impact factor: 3.240
Authors: Mary E Natoli; Kathryn A Kundrod; Megan M Chang; Chelsey A Smith; Sai Paul; Jackson B Coole; Nathaniel G Butlin; Nathan A Tanner; Ellen Baker; Kathleen M Schmeler; Rebecca Richards-Kortum Journal: J Biomol Tech Date: 2021-09