The World Health Organization and the World Health Assembly recommended eradicating hepatitis as a public threat by 2030. The accurate genotyping of hepatitis C virus (HCV) is crucial to achieving this goal because it is vital for the selection of anti-HCV therapy required for complete cure of HCV infection. We report the development of a method for accurate genotyping of HCV 1a, 1b, 2, 3, 4, and 6 genotypes. The merits of the developed method for HCV genotyping include (i) requirement of a single polymerase chain reaction (PCR) primer set, (ii) room-temperature detection in 30 min after the PCR, (iii) no need of highly trained professionals, (iv) highly accurate HCV genotyping results afforded by highly specific DNA-DNA hybridization, and (v) probe sequences that can be used on other platforms.
The World Health Organization and the World Health Assembly recommended eradicating hepatitis as a public threat by 2030. The accurate genotyping of hepatitis C virus (HCV) is crucial to achieving this goal because it is vital for the selection of anti-HCV therapy required for complete cure of HCV infection. We report the development of a method for accurate genotyping of HCV 1a, 1b, 2, 3, 4, and 6 genotypes. The merits of the developed method for HCV genotyping include (i) requirement of a single polymerase chain reaction (PCR) primer set, (ii) room-temperature detection in 30 min after the PCR, (iii) no need of highly trained professionals, (iv) highly accurate HCV genotyping results afforded by highly specific DNA-DNA hybridization, and (v) probe sequences that can be used on other platforms.
According
to the 2018 report on hepatitis C virus (HCV) by the
World Health Organization (WHO), 71 million people had chronic HCVinfection worldwide. About 0.4 million died from chronic liver diseases,
including cirrhosis or hepatocellular carcinoma in 2015 alone.[1] The World Health Assembly recommended the Global
Health Sector Strategy (GHSS) to eliminate viral hepatitis as a public
threat by 2030. It is required to diagnose 90% of the infectedpeople
and to treat at least 80% of them to eliminate hepatitis as a public
threat.[2] However, a significant barrier
to this goal is that successful treatment of HCV infection critically
depends on the correct identification of HCV genotypes, including
1a, 1b, 2, 3, 4, and 6. Treatment of hepatitis C has made significant
advances with the development of drugs such as PEGylated interferon
(PegIFN)-α, ribavirin, and direct-acting antivirals (DAAs) such
as dasabuvir, simeprevir, sofosbuvir, ombitasvir, and ledipasvir.[3] However, HCV genotype identification is vital
for tailoring anti-HCV therapy. The European Association for the Study
of the Liver (EASL) identifies that the choice of medicine or the
combination drugs, and the duration of treatment varies depending
on the HCV genotype.[4] Therefore, not only
the screening but also the correct HCV genotyping using a simple and
accurate detection method is crucial to achieving the goals set forth
by GHSS.Among 67 confirmed and 20 provisional subtypes, the
HCV 1 (46.2%;
1a (31%), 1b (68%)), HCV 2 (9.1%), HCV 3 (30.1%), HCV 4 (8.3%), and
HCV 6 (5.4%) are the most common HCV genotypes on a global scale.[5] However, the distribution and the subtypical
composition of HCV 6 in Asian countries (Vietnam: HCV 6a (24%); Myanmar:
HCV 6n (39%); Thailand: HCV 6f (56%), HCV 6n (22%), and HCV 6i (11%))
are significantly different from the overall global ratio.[6] Therefore, for appropriate treatment of hepatitis
C, the detection and discrimination of HCV genotypes using a simple
and efficient method is of paramount importance.[7]The methods based on the detection of HCV core antigens
and anti-HCV
IgG are used for HCV screening. However, these methods are not suitable
for HCV genotyping.[8] The sequence analysis
of specific regions such as NS5, core, E1, and 5′ UTR is a
gold standard for HCV genotyping. However, due to the longer turnaround
time, high cost, and the requirement of highly trained professionals,
sequencing analysis is not suitable for HCV genotyping in point-of-care
settings.[9] The nucleic acid-based assays,
including real-time polymerase chain reaction (RT-PCR), restriction
fragment length polymorphism, heteroduplex mobility analysis, and
line-probe assay, are available for HCV genotyping, but the agreement
between the results of these methods is low.[10]Most of these assays have limitations for the correct identification
of HCV 1a, 1b, and 6.[11] About 95% of the
sequence homology between the HCV genotypes and subtypes is a reason
behind the poor performance of the reported methods. Unfortunately,
incorrect HCV genotyping can lead to critical errors in the choice
of optimal drug therapy. Hence, there is a need for a rapid, simple,
precise, and inexpensive genotyping test to execute the strict treatment
regime in the management of hepatitis C.Herein, we report on
the development of a method for the screening
and genotyping of HCV genotypes, including 1a, 1b, 2, 3, 4, and 6
(Table S1). The presented method takes
advantage of the highly specific hybridization of the Cy5-labeled
HCV PCR product with the meticulously designed HCV genotype-specific
probes immobilized on the surface of a DNA chip. HCV is an RNA virus
(9.6 kb nucleotides) consisting of a single open reading frame flanked
by 5′ and 3′ untranslated regions (UTRs), as shown in Figure . Even though the
5′ UTR has over 95% of the sequence homology between the HCV
genotypes, it was chosen for the development of a method for the screening
and genotyping of HCV 1a, 1b, 2, 3, 4, and 6 for the following two
reasons. First, the 5′ UTR is a conserved region, with no observed
mutations due to drug treatment or demography, making it an attractive
target for HCV genotyping. Second, the sequence homology allows the
use of a single PCR primer set for PCR amplification of six different
HCV genotypes.
Figure 1
(a) HCV RNA structure including open reading frame and
5′
UTR, 3′ UTR regions, (b) alignment of sequences of HCV genotypes
1a, 1b, 2, 3, 4, and 6 in the 5′ UTR.
(a) HCV RNA structure including open reading frame and
5′
UTR, 3′ UTR regions, (b) alignment of sequences of HCV genotypes
1a, 1b, 2, 3, 4, and 6 in the 5′ UTR.
Results and Discussion
For the optimization of the
PCR conditions targeting the cDNA of
the HCV genome (Table S2) obtained by RT-PCR,
six forward primers (F1–F6) with melting temperatures (TM) in the range of 54.5–60.7 °C
and six reverse primers (P1–P6) with TMs in the range of 52.5–59.7 °C were selected (Table S3). The obtained results of PCR optimization
indicated that among all primer sets, the primer sets F2:R4 (5:20
pmol ratio/test) and F6:R6 (5:20 pmol ratio/test) showed a high yield
of the PCR (Figure S1). However, for 100
copies each of HCV 1a, 1b, 2, 3, 4, and 6, the primer set F6:R6 (5:20
pmol ratio/test) showed a high PCR yield for each HCV genotype (Figure S2). Therefore, the primer set F6:R6
(5:20 pmol ratio/test) was further used for the optimization of the
annealing temperature using 100–10 copies of HCV1a. The annealing
temperature of 59 °C and F6:R6 (5:20 pmol ratio/test) showed
a high PCR yield in the range of 100–10 copies (Figure S3). About 22 probes (Figures S4–S9) were designed using the probe selection
method[12] to finally select six optimized
probes for the highly efficient screening and genotyping of six HCV
genotypes, including 1a, 1b, 2, 3, 4, and 6 (Table S4). The designed probes appended with nine consecutive guanines
were immobilized on the AMCA slides to obtain HCV DNA chips using
a reported method.[13]The Cy5-labeled
PCR products of the six HCV genotypes were allowed
to hybridize with the probes immobilized on the HCV DNA chips at 25
°C for 30 min in a commercial incubator. Then, HCV DNA chips
were rinsed with washing buffer solutions A and B (Table S5) successively for 2 min each and dried. The fluorescence
signal intensities were measured on ScanArrayLite, followed by image
analysis with QuantArray software (Packard Bioscience).As depicted
in Figure a, the HCV
1a and 1b genotypes have only one mismatch in the
probe-binding region. Therefore, for discrimination of HCV 1a and
1b, four probes for each genotype were designed. Probes 1a-1 and 1b-1
were without artificial mutation, and probes 1a-2 to 1a-4 and 1b-2
to 1b-4 were with one artificial mutation (Figures c–d, Table S4, and Figures S4–S9).
Figure 2
Selection of probes for HCV1a and HCV1b.
(a) alignment of HCV1a
and 1b sequences indicating the probe region, (b) hybridization of
HCV 1a and 1b PCR products with HCV1a and HCV1b probes with and without
an artificial mutation, (c) and (d) fluorescence intensities for respective
probes upon hybridization with respective PCR products.
Selection of probes for HCV1a and HCV1b.
(a) alignment of HCV1a
and 1b sequences indicating the probe region, (b) hybridization of
HCV 1a and 1b PCR products with HCV1a and HCV1b probes with and without
an artificial mutation, (c) and (d) fluorescence intensities for respective
probes upon hybridization with respective PCR products.The Cy5-labeled single-stranded DNA was obtained by the reaction of the amine group
of DNA with the Cy5-DyemonoreactiveNHS ester by following the standard
protocol provided by the manufacturer with the monoreactiveCy5 Dye
(GE Healthcare UK Limited, Buckinghamshire, U.K.). Hybridization of
Cy5-labeled PCR products of HCV 1a and 1b with immobilized probes
showed specific as well as nonspecific hybridization with HCV1a and
HCV1b probes without artificial mutations 1a-1 and 1b-1, respectively,
as depicted in Figures b–d. These probes also showed nonspecific hybridization with
PCR products of other HCV genotypes. However, the HCV 1a probe with
artificial mutation (1a-3) showed high specificity for the HCV1a PCR
product. The two-nucleotide (separated by three nucleotides) mismatch
between the HCV1b probe (1b-3) and the HCV1a PCR product allowed the
elimination of nonspecific hybridization of the HCV1a PCR product
with the HCV1b probe. The HCV1b probe with artificial mutation (1b-3)
showed specific hybridization with the HCV1b PCR product and nonspecific
hybridization only with the HCV1a PCR product, among other HCV genotypes.
Therefore, for the detection of HCV1a, the probe with artificial mutation
(1a-3) was used for further studies. However, the simultaneous hybridization
of the HCV1b PCR product with probes 1a-3 and 1b-3 is used for the
detection of the HCV1b genotype. It is interesting to notice that
probes 1a-3 and 1b-3 did not hybridize with PCR products of any other
HCV genotype. The improvement in sensitivity of the probes using artificial
mutation was in accordance with our previous report on the generalized
probe selection method for DNA chips.[12] The use of artificial mutation decreases the melting temperature
(TM) of the probes, thus reducing its
nonspecific hybridization with other probes.For the correct
genotyping of HCV2 and HCV3, four (2-1 to 2-4)
and two (3-1, 3-2) probes were designed, respectively (Table S4 and Figures S4–S9). As depicted
in Figure a,b, the
probes without artificial mutation (2-1 and 2-3) showed specific hybridization
with the PCR product of the HCV2 genotype and nonspecific hybridizations
with PCR products of other HCV genotypes. The probes with artificial
mutations (2-2 and 2-4) showed highly specific hybridization with
the HCV2 genotype. Probe 2-4, which had four nucleotide mismatches
with HCV1a, 1b, 2, 3, 4, and 6 (Figures S4–S9), showed highly specific hybridization with HCV2. Furthermore, probe
2-4 showed two times higher signal intensity than probe 2-2. Hence,
probe 2-4 was selected for HCV2 genotyping. Similarly, as depicted
in Figure c,d, probe
3-2 (with artificial mutation) containing 5, 4, 5, 5, 4 nucleotide
mismatches with HCV1a, 1b, 2, 3, 4, and 6, respectively (Figures S4–S9), showed highly specific
hybridization with the HCV3 PCR product making it a potential candidate
for HCV3 genotyping.
Figure 3
Selection of probes for HCV2 and HCV3 genotyping. (a,
b) Fluorescence
intensities of HCV2 probes upon hybridization with PCR products of
HCV 1a, 1b, 2, 3, 4, and 6. (c, d) Fluorescence intensities of HCV3
probes upon hybridization with PCR products of HCV 1a, 1b, 2, 3, 4,
and 6.
Selection of probes for HCV2 and HCV3 genotyping. (a,
b) Fluorescence
intensities of HCV2 probes upon hybridization with PCR products of
HCV 1a, 1b, 2, 3, 4, and 6. (c, d) Fluorescence intensities of HCV3
probes upon hybridization with PCR products of HCV 1a, 1b, 2, 3, 4,
and 6.The discrimination of HCV4 was
challenging as it has high sequence
homogeneity with other HCV genotypes. As shown in Figure a,b, a total of six probes,
including three probes without artificial mutation (4-1, 4-3, and
4-5) and three probes with artificial mutation (4-2, 4-4, and 4-6)
were initially designed for HCV4 genotyping. Probe 4-6 showed highly
specific hybridization with the HCV4 genotype. There were no nonspecific
hybridizations for probe 4-6 as it had 2, 3, 2, 4, and 2 (with two
additional insertions) nucleotide mismatches with the genomic sequence
of other HCV genotypes (Figures S4–S9). Even though the signal intensity was low (35 000 a.u.),
probe 4-6 was selected for HCV4 genotyping.
Figure 4
Selection of probes for
HCV4 and HCV6 genotyping. (a, b) Fluorescence
intensities of HCV4 probes upon hybridization with PCR products of
HCV 1a, 1b, 2, 3, 4, and 6. (c, d) Fluorescence intensities of HCV6
probes upon hybridization with PCR products of HCV 1a, 1b, 2, 3, 4,
and 6.
Selection of probes for
HCV4 and HCV6 genotyping. (a, b) Fluorescence
intensities of HCV4 probes upon hybridization with PCR products of
HCV 1a, 1b, 2, 3, 4, and 6. (c, d) Fluorescence intensities of HCV6
probes upon hybridization with PCR products of HCV 1a, 1b, 2, 3, 4,
and 6.The highly accurate detection
and genotyping of HCV6 was the most
straightforward case among all other HCV genotypes as its genome contained
two insertions (Figures and S4–S9). Among the two probes
designed for HCV6 genotyping, probe 6-1 (without artificial mutation)
showed high selectivity with considerably higher signal intensity
than probe 6-2 (with artificial mutation). Therefore, probe 6-1 was
selected for HCV6 genotyping.To the best of our knowledge,
this is the first article on the
development of a method for the screening and genotyping of six major
HCV genotypes. The commercial nucleic acid-based assays available
in the market are known to have limitations in the correct detection
and identification of HCV1a and 1b.[14] The
accurate HCV genotype identification critically influences the success
of treatment. The HCV1 screening and subtyping to differentiate 1a
and 1b subtypes are crucial before starting the antiviral therapy
because the choice of DAA, the necessity to use ribavirin, and treatment
duration are dependent on the HCV genotype infection found in patients.The present method requires further validation using clinical specimens.
The results presented in this article are based on the synthetic template
DNA. One of the limitations of the presented method is that it is
based on the DNA chip hybridization that requires several steps, including
PCR amplification, DNA–DNA hybridization, washing, drying,
and scanning. Therefore, the primer set and probes optimized in this
study will be used for the generation of a lateral flow strip membrane
assay that can be implemented in point-of-care settings.
Conclusions
The obtained results indicate that for accurate
HCV screening and
genotyping of HCV1a, 1b, 2, 3, 4, and 6, probes 1a-3, 1b-3, 2-4, 3-2,
4-6, and 6-1, respectively, are highly applicable. The guidelines
set forth by the EASL and the WHO clearly indicate that the accurate
detection of HCV genotypes is decisive for the efficient treatment
of hepatitis C. The presented method, and especially the designed
probes, have a very high potential for precise screening and genotyping
of HCV genotypes 1a, 1b, 2, 3, 4, and, 6 in clinical settings.
Experimental Section
Materials
All
chemicals were purchased
from Sigma-Aldrich Chemicals, Korea. All of the oligonucleotides were
purchased from Bioneer (Daejeon, South Korea). The RT-PCR premix and
RNA extraction kits were obtained from Invitrogen, Korea. Glass slides
(2.5 × 7.5 cm2) were purchased from Paul Marienfeld
GmbH & Co. KG, Germany. All washing solvents for the substrates
are of HPLC grade from SK Chemicals, Korea. Ultrapure water (18 MΩ/cm)
was obtained from a Milli-Q purification system (Millipore). The DNA
chips modified with mentioned probes (Table S2) were obtained from Biometrix Technology Inc., Korea. Oligonucleotides
were spotted using a Qarray2 microarrayer (Genetix Technologies, Inc.)
to produce DNA Chips used for the experiments. All DNA chips used
in this study were obtained by following a previously reported method.[15]
Optimization of Primer
and PCR Conditions
The PCR amplification process is briefly
explained here (Table S3). For the PCR
of HCV 1a (1000 copies),
Taq-DNA-Polymerase was initially activated for 5 min at 94 °C,
followed by 40 cycles of 10 s denaturation at 94 °C, annealing
for 15 s at 57 °C, and extension for 15 s at 72 °C. The
program ended with a 5 min fill-in step at 72 °C.
Preparation of the HCV DNA Chip
The
HCV DNA Chips were prepared by following a previous report.[15] In brief, the immobilization solution containing
oligonucleotide probes was spotted to make 6 by 3 pixels on the 9G
slides. The microarrayed 9G slides were then kept in an incubator
(25 °C, 50% humidity) for 4 h to immobilize the oligonucleotides.
The slides were then suspended in the blocking buffer solution at
25 °C for 30 min, to remove the excess oligonucleotides and to
deactivate the nonspotted area. Then, the slides were rinsed with
washing buffer solutions A and B for 5 min each and then dried with
a commercial centrifuge to obtain the HCV 9G DNA Chip. Before hybridization,
the HCV DNA Chip was covered with Secure-Seal hybridization chambers.
Typical Hybridization and Washing Procedure
Hybridizations were done using Cy5-labeled PCR products of the
HCV genotypes at 25 °C for 30 min in a commercial incubator.
Then, the HCV 9G DNA Chip was rinsed with washing buffer solutions
A and B successively for 2 min each, to remove the excess target DNA,
and dried with a commercial centrifuge (1000 rpm). The fluorescence
signal of the microarray was measured on ScanArrayLite, and the images
were analyzed by Quant Array software (Packard Bioscience).
Authors: Donald B Smith; Jens Bukh; Carla Kuiken; A Scott Muerhoff; Charles M Rice; Jack T Stapleton; Peter Simmonds Journal: Hepatology Date: 2014-01 Impact factor: 17.425
Authors: Natalia Chueca; Isidro Rivadulla; Rubén Lovatti; Gabriel Reina; Ana Blanco; Jose Angel Fernandez-Caballero; Laura Cardeñoso; Javier Rodriguez-Granjer; Miriam Fernandez-Alonso; Antonio Aguilera; Marta Alvarez; Juan Carlos Galán; Federico García Journal: PLoS One Date: 2016-04-20 Impact factor: 3.240