Comparison of Two Diagnostic Methods for the Detection of Hepatitis B Virus Genotypes in the Slovak Republic
by
, , , , , ,
Mariia Logoida
1
,
Pavol Kristian
2,*,
Andrea Schreiberova
3,
Patrícia Denisa Lenártová
2,
Veronika Bednárová
1,
Elena Hatalová
1,
Ivana Hockicková
2,
Sylvia Dražilová
4,
Peter Jarčuška
4,
Martin Janičko
4,
Štefan Porhinčák
5 and
Monika Halánová
1 1
Department of Epidemiology, Faculty of Medicine, Pavol Jozef Šafárik University, 040 11 Kosice, Slovakia
2
Department of Infectology and Travel Medicine, Faculty of Medicine, Louis Pasteur University Hospital, Pavol Jozef Šafárik University, 041 90 Kosice, Slovakia
3
Department of Epizootiology, Parasitology and Protection of One Health, University of Veterinary Medicine and Pharmacy, 041 81 Kosice, Slovakia
4
2nd Department of Internal Medicine, Faculty of Medicine, Louis Pasteur University Hospital, Pavol Jozef Šafárik University, 040 11 Kosice, Slovakia
5
Centre of Applied Computer Science, P. J. Safarik University, 040 01 Kosice, Slovakia
*
Author to whom correspondence should be addressed.
Pathogens 2022, 11(1), 20; https://doi.org/10.3390/pathogens11010020
Submission received: 8 December 2021
/
Revised: 22 December 2021
/
Accepted: 22 December 2021
/
Published: 24 December 2021
(This article belongs to the Special Issue Molecular Epidemiology, Host Genetic Factors, and Viral Hepatitis Related Liver Diseases)
Abstract
:The hepatitis B virus (HBV), belonging to the Hepadnaviridae family, is responsible for a global health concern still in the 21st century. The virus is divided into 10 genotypes, which differ in geographical distribution and in their effect on disease progression and transmission, susceptibility to mutations, and response to treatment. There are many methods for diagnostics of HBV and differentiating its genotypes. Various commercial kits based on real-time polymerase chain reaction (RT PCR) and hybridization available, as well as whole genome sequencing or the sequencing of only individual parts of the genomes. We compared a commercial kit AmpliSens HBV-genotype-FRT, based on RT PCR, with an adapted method of amplification of the surface genomic region combined with Sanger sequencing. In the examined samples we identified the A, B, C, D, and E genotypes. By PCR with Sanger sequencing, the genotypes were determined in all 103 samples, while by using the commercial kit we successfully genotyped only 95 samples, including combined genotypes, which we could not detect by sequencing.
1. Introduction
Viral hepatitis B is one of the most common viral infections in humans; it is spread worldwide and represents a global public health problem. The prevalence of hepatitis B varies worldwide and ranges from 0.7% of those infected in the adult population in low endemic regions to 6.2% in high endemic regions. In 2010, according to a European Centre for Disease Prevention and Control (ECDC) Technical report, the Slovak Republic was classified as a low endemic country for HBV infection [1]. However, there are still groups of the population in which the prevalence is higher. The cross-sectional population-based Hepa-Meta study, focused on the prevalence of viral hepatis, metabolic syndrome, and selected bacterial and parasitic infectious diseases in the Roma population living in segregated settlements, detected a 12.5% prevalence of HBV surface antigen (HBsAg) in these citizens [2,3]. Between years 2015 and 2020, in Slovak Republic there were on average 144 cases reported per year [4,5].
HBV is a partially double-stranded DNA virus roughly 3200 nucleotides in length and belonging to the Hepadnaviridae family [6]. The genome contains four partially or entirely overlapping open reading frames (C, P, S, and X), which encode seven proteins: pre-core and core protein (HBeAg and HBcAg); polymerase protein (reverse transcriptase, RT), preS1, preS2 and small hepatitis B surface proteins (SHB) (three forms of HBsAg) and X protein (transcriptional trans-activator protein) [7,8].
HBV is currently classified into 10 genotypes, A-J, according to differences in the complete genomic sequence, with the difference between the individual genotypes being about 8% and between subgenotypes about 4% [9,10]. The estimated mutation rate in HBV is determined to be approximately 10 −4 to 10 −6 nucleotide substitutions/site per year [11,12,13]. Significant differences between genotypes in geographical distribution have been observed. HBV genotype A is more common in Europe (A2), North America (A2), and Africa (A1, A3–A6), while genotype B and C is the most prevalent in Asia and the Pacific. HBV genotype D was detected in Middle East (D1), Central Asia (D1), Europe (D2), Japan (D2), Australia and Oceania (D4), India (D5), and South Africa (D6), and subgenotype D3 is spread worldwide. Genotype E is typical for Africa, while genotypes F and H for South, Central, and North America. HBV genotype G was detected in the USA, Germany, Italy, the UK, and France, and genotype I has been found in Asia and genotype J in Japan [7,14]. There is also a link between genotypes and their modes of transmission. In addition, different HBV genotypes can have variability in their clinical outcomes and response to treatment, including the development of drug resistance [15,16,17]. Therefore, data on the genotypes circulating in the population help to detect transmission pathways and serve as an epidemiological tool for monitoring the mode of transmission and clustering of the virus [18].
A lot of different techniques are available for HBV genotyping. Sequence and phylogenetic analysis of the entire HBV genome is still considered the gold standard for genotyping [19]. However, full genomic sequencing appears to be ineffective for regular use in clinical practice, particularly due to high costs, the time consumed, and the expertise required. Sequencing and phylogenetic analysis can be performed only on parts of the genome; most often the S region (S-surface) is used for genotyping. In general, the HBV S gene sequence is enough to assign genotypes [8,20]. In addition, to determine the HBV genotype, other methods can be used, such as restriction fragment length polymorphisms (RFLP), [21], PCR with specific primers and probes for single genotypes [22,23] or other methods based on hybridization technologies [14,24].
In this study, we compared the commercial kit AmpliSens HBV-genotype-FRT, based on real-time PCR using specific primers and probes for the A, B, C, and D genotypes with adapted direct and nested PCR, with primers which are used in INNO-LiPA HBV Genotyping kits. These primers target the HBV surface genomic region, which overlaps with the polymerase region, and this also allows us to detect the possible presence of an escape or resistance mutation [25]. The aim of this study was to compare two different diagnostic methods for the detection of Hepatitis B virus genotypes to better understand the molecular epidemiology of HBV in Slovakia, which can lead to better understanding of the origins and distribution patterns of HBV genotypes in patients in Slovakia, thus ensuring better patient management and appropriate treatment.
2. Results
A total of 103 people positively diagnosed with viral hepatitis B were examined for the detection of HBV genotype.
From the 103 examined serum samples, 95 were successfully genotyped by real-time PCR using the commercial kit AmpliSens HBV-genotype-FRT. In all 103 samples, the genotypes were determined by amplification of the surface genomic region (using primers from the INNO-LiPA assays) and Sanger sequencing.
Among all the samples successfully analyzed by AmpliSens HBV-genotype-FRT commercial kit, the prevalent genotype was D with 44.7%; genotype A was second with 37.9%, and the most prevalent combination genotype was A/D, represented by 3.9%. Other genotypes had 1% to 1.9% occurrence, as shown in Figure 1a.
The AmpliSens kit could not detect viral DNA in 8 of our samples (7.8%), which were determined by amplification of the surface genomic region and Sanger sequencing. Of these 8 samples, 5 were determined as a genotype D and 2 as genotype A. One of these 8 samples was determined as genotype E, as the AmpliSens kit is limited only to genotypes A, B, C, and D (Appendix A Table A1).
By amplification of the surface genomic region (using primers from the INNO-LiPA assays) and Sanger sequencing, we determined the genotype in all 103 samples. Obtained sequences were analyzed by tools, NCBI, Geno2Pheno, and Phylogenetic analysis by Mega X Software. According to NCBI annotation, we found the most prevalent genotype was genotype D, with subgenotype D1—16.5%, D2—6.8%, D3—29.1%, followed by A2—43.7%, and genotypes C1, E, and B4, each with 1% or 1.9%, as show in Figure 1b. Genotyping by Geno2Pheno[hbv] tools provided us the similar results: The most prevalent genotype was D (D1—18.4%. D2—7.8%, D3—24.3%, D4—1.9%), next A2—43.7% and genotypes B3, B4, and C2, E, each with 1%, Figure 1c.
By phylogenetic analysis, we verified our genotypes and subgenotypes and detected genotypes D with 52.4% (D3 with 32%, D1 with 12.6%, D2 with 6.8%, and D4 with 1%), A2 with 43.7%, B4 with 1.9%, and C1 and E each with 1%, as shown in Figure 1d.
We discovered that all results of genotyping produced by different tools were the same on the genotype level, with differences only at the subgenotype level. The results of phylogenetic analysis were very similar to the results by manual annotation in the NCBI database, with difference only in 4 samples. Three of samples were determined by NCBI annotation and by Geno2Pheno[hbv] tools as subgenotype D1, but according to phylogenetic analysis they belonged to genotype D3.
One of these samples, which was determined by NCBI annotation as a subgenotype D1, was determined by Geno2Pheno[hbv] tools as subgenotype D4 and according to phylogenetic analysis belonged to genotype D4. Nevertheless, branches with reference sequences for subgenotype D4 were arranged as a subtree for the D1 branch (Figure 2). Such ambiguities in branching could be caused by relatively short and maybe insufficiently divergent sequences.
With commercial kit AmpliSens HBV-genotype-FRT, it was possible to detect the same genotypes as with other methods (plus mixed genotypes), except for 8 samples, in which we were unable to determine genotype with this kit (Appendix A Table A1). Thus, the success rate of the commercial kit compared to other methods was 92.23%. As for the comparison of, for example, manual annotation in the NCBI database and the Geno2Pheno[hbv] tools concurred on 89.32% (on the subgenotype levels), and results of phylogenetic analysis using MEGA X software matched with the Geno2Pheno[hbv] tools in 88.35% and the results of NCBI annotation were same as analysis using MEGA X in 94.17% of samples.
In addition, the obtained sequences were used for the detection of clinically important resistant and escape mutations through different online tools, such as the Geno2Pheno[hbv] tool (https://hbv.geno2pheno.org/; accessed on 5 December 2021) and the HBV-Resistance interpretation tool (http://www.hiv-grade.de/hbv_grade/deployed/grade; accessed on 5 December 2021) (Appendix A Table A2). The most common mutations were the HBsAg escape mutations—A128V and P127T, which were typical for genotypes D and A, followed by the HBsAg escape mutations—D144 E and K122R and the compensatory mutation—S202I, which can cause to resistance to Entecavir, Baraclude®. Other HBsAg escape mutations occurred only individually: V173M, P120T, S143L, G145R, P120P together with P120S, C121C together with G145R, A128V together with M133I, and P142L together with D144A, as shown in Figure 3. All the important mutations were detected by both instruments, except the P127T mutation, which was detected only by the HBV-Resistance interpretation tool. Regarding neutral mutations, some were detected by only one of two software. All mutation data should be interpreted with caution since it is only a prediction and the region of interest of the genes is relatively short.
3. Discussion
Knowledge of the circulating genotypes in a community and data on existing mutations can lead to a better understanding of the molecular epidemiology of the hepatitis B virus and contribute to better patient management and treatment. HBV genotype can be confirmed by a variety of methods, such as sequence analysis of partial or whole genome, genotype-specific PCR assays, real-time PCR, RFLP, microarray (DNAChip), or fluorescence polarization assay [26]. The reference point for all methods is sequencing and phylogenetic analysis. While whole genome sequencing is the gold standard and the most reliable method, it is cumbersome to use in large scale studies and is expensive and requires expertise [19]; thus, sequencing of only a part of the genome can be a viable alternative. Phylogenetic analysis allows relative and evolutionary relatedness of sequences to be assessed and can also be performed on individual genes, especially on S gene [14].
Commercial kits make diagnostics easier, faster, and more convenient for the routine. One of the commercial methods to genotype HBV is the INNO-LIPA® HBV Genotyping (Fujirebio Europe, Tokyo, Japan) based on reverse hybridization. This method allows the identification of HBV genotypes A to G and shows high sensitivity [27], but is relatively expensive. The other available commercial kit is AmpliSens® HBV-genotype-FRT PCR kit (Federal Budget Institute of Science “Central Research Institute for Epidemiology”, Moscow, Russia), based on real-time PCR with specific hybridization probes. This kit used on qualitative detection and differentiation of hepatitis B virus (HBV) genotypes A, B, C, and D.
We compared a commercial kit AmpliSens HBV-genotype-FRT, based on RT PCR, with an adapted PCR method (using primers from INNO-LiPA assay), combined with Sanger sequencing (Appendix A Table A1). By commercial kits AmpliSens HBV-genotype-FRT we determined genotype in 95 from 103 samples, which represents 92.2% of samples. This method for genotyping appears to be useful for the rapid genotyping of HBV, as is quick and easy for preparing. In addition, genotyping using the commercial kit AmpliSens HBV-genotype-FRT allows us to detect combined genotypes. But this method is limited only to genotypes A, B, C, and D. Furthermore, a disadvantage is that the single nucleotide polymorphisms (SNP) at the primer site can affect the sensitivity of method [19].
Using the PCR method adapted by us (using primers from INNO-LiPA assay) combined with Sanger sequencing, we successfully determined genotype in all 103 samples. This method appears to be very sensitive, and it allows for further increase of sensitivity with nested PCR. PCR with sequencing also opens many possibilities, as well as sequence comparison in various databases or the use of various online tools, phylogenetic analysis, and in the case of a sequence that is coding polymerase and S protein, we also have the possibility of detecting important resistant or escape mutations. This method is cheaper than commercial methods but takes more time and is technically demanding and requires expertise with processing data. Another disadvantage of sequencing using a single region of the HBV genome is the inability to determine combined genotypes [8]. We also tried to detect not only the genotype but the subgenotype, too. To obtain subgenotype, we compared our sequencing to the reference sequences using the bioinformatics tool Blast from the NCBI database. These results were compared with results obtained by Geno2Pheno[hbv] tools (https://hbv.geno2pheno.org/; accessed on 5 December 2021) and with results from phylogenetic analysis by the MEGA X software. Only 14 samples have a different subgenotype using one of the methods, but they have the same results according to at least two other methods. All the other samples have the same subgenotype according to different methods. Overall, on the subgenotype level, the results of NCBI annotation, Geno2Pheno[hbv] tools and phylogenetic analysis using the MEGA X software matched in 86.41% of the samples, and these methods showed 80.58% consistency with RT PCR. However, the fact that this study is limited by the short lengths of gene sequences must be taken into consideration.
In addition, the obtained sequences were used for the detection of clinically important resistant and escape mutations through online tools Geno2Pheno[hbv] (https://hbv.geno2pheno.org/; accessed on 5 December 2021) and the HBV-Resistance interpretation tool (http://www.hiv-grade.de/hbv_grade/deployed/grade; accessed on 5 December 2021). From all 103 samples, the important clinical mutation was detected in 27 samples, which represents 26.21%. The most prevalent was the HBsAg escape mutations A128V and P127T, followed by the HBsAg escape mutations D144 E and K122R and the compensatory mutation S202I. Other mutations occurred individually, such as P120T, S143L, and G145R, while mutation M133I was together with A128V and P142L was together with D144A (Appendix A Table A2). The HBsAg vaccine escape mutation A128V was associated with occult HBV infection [28]. This is the most typical mutation for genotype D, but we found this mutation in genotype A, too. Of interest was the fact that two samples that had resistant mutation S202I also had the A128V escape mutation. Compensatory mutation S202I, which can cause resistance to Entecavir and Baraclude®, was among the most described mutations in the RT region [29,30]. We detected this mutation only in genotype D and only together with the A128V escape mutation. A mutation which affects the 144 or 145 amino acid position can be responsible for vaccine escape and failure of immunoglobulin (IG) therapy and detection [31,32]. Liver transplant patients infected with these escape mutations were described as having a worse clinical outcome compared to other patients [33]. Mutation P120T is also responsible for vaccine, therapy (IG) and detection failure [32,34]. The S143L immune escape mutation was also previously described in genotype D [35,36]. There is not sufficient data available on the K122R and P127T mutations to interpret these mutations, but they were also detected in other studies [29,37,38,39], though mutation K122R was detected only in genotype B. Mutation P127T could not be detected by the Geno2Pheno[hbv] tools as HBsAg escape; this variant was detected only by the HBV-resistance interpretation tool.
To our knowledge, this is the first published study based on data from HBV genotyping in the Slovak Republic. We compared two diagnostic methods for the detection of Hepatitis B Virus genotypes in the Slovak Republic, commercial kit AmpliSens HBV-genotype-FRT versus an adapted PCR method combine with Sanger sequencing. Both methods have advantages and disadvantages: Genotyping by commercial kit is quicker, and able to detect combined genotypes, while genotyping by PCR with Sanger sequencing appears to be a more informative and sensitive. The optimal approach could be first using the commercial kit for faster routine diagnostics and secondly, in case of ambiguous or unspecified results verify these results by sequencing and phylogenetic analysis. In addition, sequencing can be useful for following some clinically important mutations and prediction of response to treatment. We found that the most common genotype was D (49.5%), followed by genotype A (39.8%), genotype B with 1.9%, and genotypes C and E with 1%. We also detected a prevalence of the genotype combination A/D, represented by 3.9%, followed by the combination A/C and B/D, with 1.9% and 1% prevalence respectively (Figure 4).
Obtaining prevalence of HBV in Slovak Republic gives us an opportunity to compare our data with data from neighboring states. In the Czech Republic, for example, a prevalence of genotype A (n = 33; 73% and 67.1%) over D (n = 12; 27% and 28.4%) was described [40,41], and genotypes B and C (3.4% and 1.1%, respectively) were also found [41]. In Poland, the most common genotype determined was genotype A with 67%, followed by genotype D (20%), and genotype H (5%) and mixed A/D (5%). In addition, genotype F, combined genotypes D/G, A/C, and D/F, individually, were found in Poland [42]. In Ukraine, genotype D (52.4%), followed by A (14.2%) and C (4.7%), was the most prevalent [43]. In a report of the prevalence of HBV genotypes in Central and Eastern Europe as a whole, the prevalence of genotype D was 48% and genotype A was 42%, and only a few cases of genotype B, C, E, and F were detected [44]. According to that study, genotype A predominated in Poland (77%) and the Czech Republic (67%), as compared to Hungary (47%), Lithuania (41%), Croatia (8%) and Germany (32%), and genotype D was the most common for Lithuania (54%), Germany (58%), Romania (67%), Croatia (80%), and Russia (93%). About 8% of this European cohort’s patient had a mixed genotype mutation. Most of them were in Romania, where 27% of the samples proved to have more than one genotype and 82% of the combination genotypes took the form of the A/D genotype combination. Our results are comparable to the prevalence of HBV in neighboring countries.
4. Materials and Methods
4.1. Population Study
Between June 2019–October 2021, a total 103 serum samples were collected from HBsAg positive patients. To isolate serum from patients, a sample of approximately 5–7 mL of whole blood was collected into EDTA vacutainers. Serum was stored at −80 °C until testing. All patients were informed and provided written consent prior to examination. This study was approved by Ethics Committee of the L. Pasteur University Teaching Hospital, No. 2019/EK/4022.
4.2. DNA Isolation
HBV DNA was isolated from 400 μL of serum using the QIAamp® DNA Mini kit (QIAGEN GmbH, Hilden, Germany) in accordance with the manufacturer’s protocol and dissolved in 40 μL of elution buffer. Strict precaution was taken to prevent contamination. Subsequently, the DNA thus isolated was used for amplification and, if necessary, stored at −20 °C (for a short time) or at −80 °C (for a long time) for further use.
4.3. HBV Genotyping by Real-Time PCR
HBV genotyping was done using 10 μL of extracted DNA and the commercial kit AmpliSens® HBV-genotype-FRT (AmpliSens, Federal Budget Institute of Science “Central Research Institute for Epidemiology”, Moscow, Russia). The AmpliSens® HBV-genotype-FRT PCR kit is a nucleic acid amplification test for qualitative detection and differentiation of HBV genotypes A, B, C, and D. Amplification was performed on a LightCycler ® 480 Real-Time PCR System (ROCHE Diagnostics, Mannheim, Germany).
4.4. HBV Amplification by PCR (Direct or Nested)
For PCR amplification, we adapted specific genotyping primers for the surface genomic region from INNO-LiPA HBV genotyping assay (Fujirebio US, Inc., Malvern, PA, USA), [24]. PCR amplification was performed using the primers: HBPr134 (5′-TGCTGCTATGCCTCATCTTC-3′) and HBPr135 (5′-CARAGACARAA-GAAAATTGG-3′) for direct PCR, HBPr75 (5′-CAAGGTATGTTGCCCGTTTGTCC-3′) and HBPr94 (5′-GGYAWAAAGGGACTCAMGATG-3′) for nested PCR, and 5 x HOT FIREPol® Blend Master Mix Ready to Load (Solis BioDyne, Tartu, Estonia) and 5 μL of DNA samples were also used for direct and 2 μL (products of the direct round PCR) for nested PCR. Amplification was performed in a standard thermocycler (T1Thermocycler, Biometra GmbH, Göttingen, Germany), and the thermal cycling parameters used were: initial denaturation −95 °C for 12 min and 30 cycles of 95 °C for 20 s, 52 °C for 40 s, 72 °C for 60 s, and a final elongation of 72 °C for 10 min. The thermal cycling parameters were the same for both the direct and nested PCR. PCR products were visualized using 1% agarose gel electrophoresis. Nested PCR was performed only if direct PCR was not sufficient. Generally, the first round of PCR was sufficient, and the nested (second round) PCR was needed only five time. We obtained 409 bp products from direct and 341 bp from nested PCR.
4.5. Determination of HBV Genotype and Phylogenetic Analysis
Amplicons were sent for Sanger sequencing (Microsynth AG, Wien, Austria). The obtained chromatograms were analyzed and edited using the MEGA X software [25]. If the sequences had a short length or poor sequence quality, those samples were sent for Sanger sequencing repeatedly. All sequences were assembled in GeneTool Lite 1.0 software (BioTools Inc., Edmonton, AB, Canada). The sequences were compared to the reference sequences using the bioinformatics tool Blast from the U.S. National Centre for Biotechnology Information (NCBI, Bethesda, MD, USA) (http://www.ncbi.nlm.nih.gov/; accessed on 5 December 2021). In addition, these sequences are deposited in the NCBI GenBank (Accession numbers: MZ130378-MZ130381, MZ130383-MZ130385, MZ148125-MZ148129, MZ148131-MZ148136, MZ166567-MZ166571, MZ230740-MZ230777, OL702789-OL702830). The samples were genotyped by annotation in the NCBI database to detect genotype and subgenotype, which we compared with results using the Geno2Pheno[hbv] tools from the Max-Planck Institute for Informatics (https://hbv.geno2pheno.org/; accessed on 5 December 2021). As our sequencing regions overlapped the surface and polymerase genes, this also allowed us to check our sequences for the presence of resistance and escape mutations. For this, we used the same Geno2Pheno[hbv] tools and compared the results with the HBV-Resistance interpretation tool algorithm available online and based on the Stanford HIValg Software (http://www.hiv-grade.de/hbv_grade/deployed/grade; accessed on 5 December 2021). The genotyping results were also confirmed by phylogenetic analysis using the Mega X software [45]. A phylogenetic tree was constructed using a Maximum likelihood tree with Kimura-2-parameter substitution methods, and bootstrap values were calculated from 1000 replicates. The gene bank reference sequences of the major genotypes and subgenotypes that were included in phylogenetic analysis are: KP322600, FJ904443, JF754594, EU594406, GQ477457, MN310710, EU594435, KY810018, KM524153, HE974373, KT749850, KT749832, GQ477469, MF674438, MF674499, KP341009, AP011085, GQ924658, GQ377617, KF849718, HM363594.
Author Contributions
Conceptualization, M.L., P.K., P.D.L., I.H., S.D., P.J., M.J. and M.H.; methodology, M.L., A.S., V.B., E.H. and M.H.; validation, P.K., P.D.L., I.H., S.D., P.J. and M.J.; investigation, M.L., A.S., V.B., E.H. and M.H.; data curation, M.L., P.K, A.S., P.D.L. and Š.P.; writing—original draft preparation, M.L., P.K., A.S. and M.H.; writing—review and editing, M.L., P.K, A.S., P.J. and M.H.; visualization, Š.P.; supervision, P.K., P.J. and M.H.; project administration, P.K.; funding acquisition, P.K. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by a grant from the Slovak Research and Development Agency of the Ministry of Education, Science, Research and Sport of the Slovak Republic, project ID: APVV-18-0171.
Institutional Review Board Statement
The study was conducted in accordance with the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of the L. Pasteur University Teaching Hospital (protocol code 2019/EK/4022 from 3 May 2019).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The data presented in this study are available on request from the corresponding author.
Conflicts of Interest
The authors declare that they have no competing interest.
Appendix A
Table A1.
HBV genotyping, comparison of different methods.
| Sample | Accession Numbers | Real-Time PCR | NCBI Annotation | Genotype by hbv.geno2pheno | MEGA X Software Phylogenetic Tree |
|---|---|---|---|---|---|
| 1001 | MZ130378 | D | D1 | D1 | D1 |
| 1002 | MZ130379 | D | D1 | D1 | D1 |
| 1003 | MZ130380 | B | B4 | B4 | B4 |
| 1004 | MZ130381 | B/D | D1 | D1 | D1 |
| 1005 | MZ130383 | A | A2 | A2 | A2 |
| 1006 | MZ130384 | D | D3 | D1 | D3 |
| 1007 | MZ130385 | A | A2 | A2 | A2 |
| 1008 | MZ148125 | D | D3 | D3 | D3 |
| 1009 | MZ148126 | D | D1 | D1 | D1 |
| 1010 | MZ148127 | A/C | A2 | A2 | A2 |
| 1011 | MZ148128 | A | A2 | A2 | A2 |
| 1012 | MZ148129 | D | D3 | D3 | D3 |
| 1014 | MZ148131 | D | D2 | D2 | D2 |
| 1015 | OL702789 | D | D1 | D1 | D1 |
| 1016 | MZ148132 | - | E | E | E |
| 1017 | MZ148133 | D | D3 | D3 | D3 |
| 1018 | MZ148134 | A | A2 | A2 | A2 |
| 1019 | MZ148135 | A | A2 | A2 | A2 |
| 1020 | MZ148136 | A | A2 | A2 | A2 |
| 1021 | MZ166567 | D | D3 | D3 | D3 |
| 1022 | MZ166568 | A | A2 | A2 | A2 |
| 1023 | MZ166569 | D | D1 | D4 | D4 |
| 1024 | MZ166570 | D | D1 | D1 | D1 |
| 1025 | MZ166571 | A | A2 | A2 | A2 |
| 1026 | MZ230740 | D | D3 | D3 | D3 |
| 1027 | MZ230741 | A/D | D2 | D2 | D2 |
| 1028 | MZ230742 | D | D3 | D3 | D3 |
| 1029 | MZ230743 | D | D3 | D1 | D3 |
| 1030 | MZ230744 | D | D2 | D2 | D2 |
| 1031 | MZ230745 | A | A2 | A2 | A2 |
| 1032 | MZ230746 | A | A2 | A2 | A2 |
| 1033 | MZ230747 | - | D3 | D3 | D3 |
| 1034 | MZ230748 | D | D3 | D3 | D3 |
| 1035 | MZ230749 | D | D1 | D1 | D1 |
| 1036 | MZ230750 | A | A2 | A2 | A2 |
| 1037 | MZ230751 | B | B4 | B3 | B4 |
| 1039 | MZ230752 | D | D3 | D1 | D3 |
| 1040 | MZ230753 | D | D1 | D1 | D1 |
| 1041 | MZ230754 | A/D | A2 | A2 | A2 |
| 1042 | MZ230755 | A | A2 | A2 | A2 |
| 1043 | MZ230756 | D | D3 | D3 | D3 |
| 1044 | MZ230757 | D | D2 | D2 | D2 |
| 1045 | MZ230758 | A/D | D1 | D1 | D1 |
| 1046 | MZ230759 | D | D3 | D3 | D3 |
| 1047 | MZ230760 | D | D3 | D3 | D3 |
| 1048 | OL702827 | - | A2 | A2 | A2 |
| 1049 | MZ230761 | A | A2 | A2 | A2 |
| 1050 | MZ230762 | D | D2 | D2 | D2 |
| 1052 | MZ230763 | A | A2 | A2 | A2 |
| 1053 | MZ230764 | D | D3 | D3 | D3 |
| 1054 | MZ230765 | A | A2 | A2 | A2 |
| 1055 | MZ230766 | D | D3 | D3 | D3 |
| 1056 | MZ230767 | A | A2 | A2 | A2 |
| 1057 | MZ230768 | A | A2 | A2 | A2 |
| 1058 | MZ230769 | A | A2 | A2 | A2 |
| 1059 | MZ230770 | A | A2 | A2 | A2 |
| 1060 | MZ230771 | D | D3 | D3 | D3 |
| 1061 | MZ230772 | A | A2 | A2 | A2 |
| 1063 | MZ230773 | D | D1 | D1 | D1 |
| 1064 | MZ230774 | D | D3 | D1 | D3 |
| 1065 | MZ230775 | C | C1 | C2 | C1 |
| 1066 | MZ230776 | A/D | A2 | A2 | A2 |
| 1067 | MZ230777 | - | D3 | D3 | D3 |
| 1068 | OL702790 | D | D1 | D1 | D1 |
| 1070 | OL702791 | A | A2 | A2 | A2 |
| 1071 | OL702792 | A | A2 | A2 | A2 |
| 1072 | OL702793 | A | A2 | A2 | A2 |
| 1073 | OL702794 | D | D3 | D3 | D3 |
| 1074 | OL702795 | C/A | A2 | A2 | A2 |
| 1075 | OL702796 | A | A2 | A2 | A2 |
| 1076 | OL702797 | A | A2 | A2 | A2 |
| 1077 | OL702798 | A | A2 | A2 | A2 |
| 1078 | OL702799 | A | A2 | A2 | A2 |
| 1079 | OL702800 | A | A2 | A2 | A2 |
| 1080 | OL702828 | D | D1 | D2 | D2 |
| 1081 | OL702801 | D | D2 | D2 | D2 |
| 1082 | OL702802 | D | D3 | D3 | D3 |
| 1083 | OL702803 | D | D3 | D3 | D3 |
| 1084 | OL702804 | - | D1 | D4 | D1 |
| 1085 | OL702805 | D | D1 | D1 | D3 |
| 1086 | OL702806 | A | A2 | A2 | A2 |
| 1087 | OL702807 | A | A2 | A2 | A2 |
| 1088 | OL702808 | - | D3 | D3 | D3 |
| 1089 | OL702809 | D | D3 | D3 | D3 |
| 1090 | OL702810 | - | A2 | A2 | A2 |
| 1091 | OL702811 | D | D3 | D3 | D3 |
| 1092 | OL702812 | A | A2 | A2 | A2 |
| 1093 | OL702813 | A | A2 | A2 | A2 |
| 1094 | OL702814 | A | A2 | A2 | A2 |
| 1095 | OL702815 | D | D1 | D1 | D3 |
| 1096 | OL702816 | D | D3 | D3 | D3 |
| 1097 | OL702817 | A | A2 | A2 | A2 |
| 1098 | OL702818 | D | D2 | D2 | D3 |
| 1099 | OL702819 | D | D3 | D3 | D3 |
| 1100 | OL702820 | A | A2 | A2 | A2 |
| 1101 | OL702821 | A | A2 | A2 | A2 |
| 1103 | OL702822 | D | D1 | D1 | D1 |
| 1104 | OL702829 | D | D3 | D3 | D3 |
| 1105 | OL702830 | D | D3 | D1 | D3 |
| 2001 | OL702823 | D | D3 | D3 | D3 |
| 2002 | OL702824 | A | A2 | A2 | A2 |
| 2003 | OL702825 | A | A2 | A2 | A2 |
| 2005 | OL702826 | A | A2 | A2 | A2 |
Table A2.
Detection of resistance and escape mutations.
| Sample | Mutations RT Domain | Drug Resistance Mutation | Mutations SHB Protein | Escape Mutations SHB Protein |
|---|---|---|---|---|
| 1001 | G127R, M129L, N131D, Y135S, Q215S | T127P, T189I, S207R | ||
| 1002 | Y135S | T127P | ||
| 1003 | N124H, N134D, K149Q, V207M | K122R, M198I, F200Y | K122R | |
| 1004 | G127R, Y135S | T127P | ||
| 1005 | V207I, L217R | M198I, W199L, L209V | ||
| 1006 | Q130P, Y135S | T127P | ||
| 1007 | W153GRW, L217R, S219A | L209V, D144DE, S210R | D144E-Vaccine, Therapy (IG), Detection | |
| 1008 | F122L, Q130P, Y135S, F221Y | T127P, L213I | ||
| 1009 | Y135S, S202IS | 202I-compensatory mutation, possible resistance to Entecavir, Baraclude® | T127P, A128AV, T189I, V194FILV | A128V-Vaccine |
| 1010 | L217R, S219A | L209V, S210R | ||
| 1011 | L217R | L209V | ||
| 1012 | F122L, T128INST, Q130P, Y135S | P120PS, T127P, S207N | P120P-Vaccine P120S-Vaccine, Detection | |
| 1014 | F122V, H126R, Q149K | T118A, P127T | P127T | |
| 1015 | G127GR, M129L, Y135S, Q149KQ | T127P | ||
| 1016 | T189I | |||
| 1017 | F122L, Q130P, Y135S, Q215H | T127P, S207T | ||
| 1018 | S159T, L217R | L209V, L216 | ||
| 1019 | W153R, L217R | S207N, L209V | ||
| 1020 | R120G, N124H, L217R | L209V | ||
| 1021 | F122L, Q130P, Y135S | T127P, V177A, Y206C | ||
| 1022 | A128AV, S207N, V209L | A128V-Vaccine | ||
| 1023 | H126R, M129L, Y135S, Q149K, Q215P | T118A, T127P, P142L, D144A, S204N, S207R | P142L, D144A-Vaccine, Therapy (IG), Detection | |
| 1024 | Y135S | T127P | ||
| 1025 | L217R | P188L, L209V, P211L | ||
| 1026 | F122L, Q130P, Y135S, Q215H | T127P, S207T | ||
| 1027 | H126R | T118A, P127T | P127T | |
| 1028 | F122L, H124N, Q130P, Y135S, V190M, Q215H, S219A | T127P, S204N, S207T, I208T, S210R | ||
| 1029 | F122L, Y135S | T127P | ||
| 1030 | H126R | T118A, P127T | P127T | |
| 1031 | L217R, S219A | S207N, L209V, S210R | ||
| 1032 | L217R, S219A | L209V, S210R | ||
| 1033 | N118T, F122L, Q130P, Y135S, V191L, Q215S | I110L, T127P, G159A, W182C, V190A, Y206S, S207R, P214L | ||
| 1034 | F122L, Q130P, Y135S | T127P | ||
| 1035 | Y135S | T127P, A128AV | A128V-Vaccine | |
| 1036 | V163I, S213T, S219A | A159G, Y161F, A194V, S204K, S210R, P214L | ||
| 1037 | N124H, N134D, L220I | K122R, V168A, F200Y | ||
| 1039 | F122L, Y135S, S202IS | 202I-compensatory mutation, possible resistance to Entecavir, Baraclude® | T127P, A128AV, V194FV | A128V-Vaccine |
| 1040 | Y135S | T127P | ||
| 1041 | V112A, K212T | S204R, V209L | ||
| 1042 | S213T, L217R | Y161F, S204R, Y206S, L209V | ||
| 1043 | F122L, Q130P, Y135S, L164M | T127P, S143L, S204N, S207N | S143L-Vaccine, Detection | |
| 1044 | H126R | T118A, P127T | P127T | |
| 1045 | Y135S | T127P, T189I | ||
| 1046 | F122L, Q130P, Y135S | T127P | ||
| 1047 | N118T, F122L, Q130P, Y135S, V191L, Q215S | I110L, T127P, G159A, W182C, V190A, Y206S, S207R, P214L | ||
| 1048 | L217R | L209V | ||
| 1049 | L217R, S219A | L209V, S210R | ||
| 1050 | H126R | T118A, P127T | P127T | |
| 1052 | L217R, S219A | L209V, S210R | ||
| 1053 | F122L, Q130P, Y135S, R153QR | T127P, G145GR | G145R-Vaccine, Therapy (IG), Detection | |
| 1054 | S159T | A194V, S207N, V209L | ||
| 1055 | S117T, F122L, Q130P, Y135S, I187L, K212N, Q215P | T127P, S204T, Y206C, S207R | ||
| 1056 | R138K, V142I | A128AV, G130S, M133I, V209L | A128V-Vaccine, M133I-Therapy (IG), Detection | |
| 1057 | L217R, S219A | L209V, S210R | ||
| 1058 | I187L, V190M, L217R, S219A | L209V, S210R | ||
| 1059 | L217R | L209V | ||
| 1060 | F122L, Q130P, Y135S | T127P | ||
| 1061 | S159T, L217R | A128AV, L209V | A128V-Vaccine | |
| 1063 | M129L, Y135S | T127P | ||
| 1064 | F122L, T128N, Y135S, Q215P | P120T, T127P, S207R | P120T-Vaccine, Therapy (IG), Detection | |
| 1065 | M129L, K149Q | D144E, V159A, A177V, S210N, I213L | D144E-Vaccine, Therapy (IG), Detection | |
| 1066 | S159T, L217R, S219A | L209V, S210R | ||
| 1067 | F122L, Q130P, Y135S | T127P | ||
| 1068 | G127R, M129L, N131D, Y135S, Q215S | T127P, T189I, S207R | ||
| 1070 | R110G, L217R | Q101R, V184A, L209V | ||
| 1071 | W153R, L217R | S204N, S207NS, L209V | ||
| 1072 | S106AT, V163I, L199V, V207I, L217R | S193L, A194V, M198I, W199L, L209V | ||
| 1073 | N118T, F122L, Q130P, Y135S, V191L, Q215S | I110L, T127P, G159A, W182C, V190A, Y206S, S207R, P214L | ||
| 1074 | M129IM, W153QR, V191IV, K212T, L217R, L220I | C121CY, G145GR, W182 *W, S204R, L209V | G145R-Vaccine, Therapy (IG), Detection; C121Y-Detection | |
| 1075 | W153R, K212R, L217R, S219A | S204D, L209V, S210K | ||
| 1076 | W153R, L217R, S219A | L209V, S210R | ||
| 1077 | K212T, L217R | S204R, L209V | ||
| 1078 | Y151FY, W153R, L179FL, L217R | T143ST, L209V | ||
| 1079 | L217R, S219A | L209V, S210R | ||
| 1080 | A200AV | P127T, L192FL | P127T | |
| 1081 | H126R | T118A, P127T | P127T | |
| 1082 | F122L, Q130P, Y135S | T127P, V177AV | ||
| 1083 | F122L, Q130P, Y135S, Q215H | T127P, S207T | ||
| 1084 | G127R, M129L, Y135S, Q149K, I187L, V190M | T127P, S207N | ||
| 1085 | M129L, Y135S, V173M, Q215H, L217R, S219A, F221Y | V173M | T127P, S207T, L209V, S210R, L213I | |
| 1086 | L217R | A194V, Y200FY, S204NS, L209V | ||
| 1087 | I121N, L217R | S113T, A194V, S207N, L209V | ||
| 1088 | V103IV, F122L, Q130PQ, Y135S | T127P | ||
| 1089 | R110GR, F122L, Q130P, Y135S | T127P | ||
| 1090 | L217R, S219A | L94LS, F158FS, S193L, P203L, S204N, L205P, Y206F, S207N, L209V, S210R | ||
| 1091 | F122L, Q130P, Y135S | T127P | ||
| 1092 | L217R | A194V, S204N, L209V | ||
| 1093 | W153R, L217R, S219A, L220I | S204N, S207N, L209V, S210K | ||
| 1094 | V207IMV, L217LR, S219AS | M198IM, W199LW, L209LV, S210RS | ||
| 1095 | Y135S | T127P, G159A, S207N | ||
| 1096 | F122L, H124N, Q130PS, Y135S, V190M, Q215H, S219A | T127P, S204N, S207T, I208T, S210R | ||
| 1097 | R110G, W153R, S159T, K212R, L217R, S219A, Y221F | S204D, S207N, L209V, S210R, I213L | ||
| 1098 | H126R, L132LM, Y135HY, S213ST | T118A, P127T, Y200FY, S204RS, S207N, P211HP | P127T | |
| 1099 | F122L, Q130P, Q215S | P127T, S136Y, S207R | P127T | |
| 1100 | L217R, S219A | V96G, A194V, S204N, Y206C, L209V, S210K | ||
| 1101 | L217R, S219A | Y161F, S204NS, L209V, S210R | ||
| 1103 | F122V, M129L, Y135S | T127P | ||
| 1104 | F122L, Q130P, Y135S, F221Y | T127P, L213I | ||
| 1105 | F122L, Y135S, L199V | T127P, V184A, Y200C, Y206S | ||
| 2001 | F122L, Q130P, Y135S | T127P, V184A, I208T | ||
| 2002 | R138K, S219A | L98Q, A128V, G130N, Y161F, V209L, S210R | A128V-Vaccine | |
| 2003 | S159T, L217R | L209V | ||
| 2005 | W153R, L157M, S219A | S204N, S207N, V209L, S210R |
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Figure 1.
(a) Genotyping by RT PCR; (b) genotyping by NCBI annotation; (c) genotyping by the Geno2pheno[hbv] tool; (d) genotyping by the MEGA X software Phylogenetic tree.
Figure 1.
(a) Genotyping by RT PCR; (b) genotyping by NCBI annotation; (c) genotyping by the Geno2pheno[hbv] tool; (d) genotyping by the MEGA X software Phylogenetic tree.
Figure 2.
Phylogenetic analysis of the HBV S-gene region sequences. The 103 specimens were aligned with 21 representative sequences of 5 genotype (including the relevant subgenotypes) available from GenBank. Reference sequences were marked by filled square labels. The final length was 337 bp. The alignment was analyzed using the Maximum Likelihood method and Kimura 2-parameter model with 1000 bootstrap replicates in the MEGA X software. Branch nodes with bootstrap values >50 are included next to the corresponding node.
Figure 2.
Phylogenetic analysis of the HBV S-gene region sequences. The 103 specimens were aligned with 21 representative sequences of 5 genotype (including the relevant subgenotypes) available from GenBank. Reference sequences were marked by filled square labels. The final length was 337 bp. The alignment was analyzed using the Maximum Likelihood method and Kimura 2-parameter model with 1000 bootstrap replicates in the MEGA X software. Branch nodes with bootstrap values >50 are included next to the corresponding node.
Figure 3.
Occurrence of resistance and escape mutation divided per genotype (genotypes are marked by MEGA X phylogenetic analysis).
Figure 3.
Occurrence of resistance and escape mutation divided per genotype (genotypes are marked by MEGA X phylogenetic analysis).
Figure 4.
Prevalence of the HBV genotypes among patients in the Slovak Republic.
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Logoida, M.; Kristian, P.; Schreiberova, A.; Lenártová, P.D.; Bednárová, V.; Hatalová, E.; Hockicková, I.; Dražilová, S.; Jarčuška, P.; Janičko, M.; et al. Comparison of Two Diagnostic Methods for the Detection of Hepatitis B Virus Genotypes in the Slovak Republic. Pathogens 2022, 11, 20. https://doi.org/10.3390/pathogens11010020
AMA Style
Logoida M, Kristian P, Schreiberova A, Lenártová PD, Bednárová V, Hatalová E, Hockicková I, Dražilová S, Jarčuška P, Janičko M, et al. Comparison of Two Diagnostic Methods for the Detection of Hepatitis B Virus Genotypes in the Slovak Republic. Pathogens. 2022; 11(1):20. https://doi.org/10.3390/pathogens11010020
Chicago/Turabian StyleLogoida, Mariia, Pavol Kristian, Andrea Schreiberova, Patrícia Denisa Lenártová, Veronika Bednárová, Elena Hatalová, Ivana Hockicková, Sylvia Dražilová, Peter Jarčuška, Martin Janičko, and et al. 2022. "Comparison of Two Diagnostic Methods for the Detection of Hepatitis B Virus Genotypes in the Slovak Republic" Pathogens 11, no. 1: 20. https://doi.org/10.3390/pathogens11010020
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