SciELO - Scientific Electronic Library Online

 
vol.66 número2Correlación entre los valores de hormonas tiroideas y anemia en pacientes ancianos con nefropatía diabética.Efecto de la suplementación nutricional oral en un modelo de cambios en la composición corporal en pacientes después de cirugía bariátrica. índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

Compartir


Investigación Clínica

versión impresa ISSN 0535-5133versión On-line ISSN 2477-9393

Invest. clín vol.66 no.2 Maracaibo jun. 2025  Epub 25-Jun-2025

https://doi.org/10.54817/ic.v66n2a04 

Trabajos Originales

Optimization of a real-time PCR assay for hepatitis B virus load determination in infected patients.

Optimización de un ensayo de PCR en tiempo real para la determinación de carga viral del virus de hepatitis B en pacientes infectados.

María Zulay Sulbarán1 
http://orcid.org/0009-0008-9798-5593

Yoneira Fabiola Sulbarán1 
http://orcid.org/0000-0002-3170-353X

Carmen Luisa Loureiro1 
http://orcid.org/0000-0003-3665-1107

Héctor Rafael Rangel1 
http://orcid.org/0000-0001-5937-9690

Rossana Celeste Jaspe1 
http://orcid.org/0000-0002-4816-1378

Flor Helene Pujol1 
http://orcid.org/0000-0001-6086-6883

1Laboratorio de Virología Molecular, CMBC, Instituto Venezolano de Investigaciones Científicas (IVIC), Caracas, Venezuela.


Abstract

Hepatitis B virus (HBV) infection is a significant health problem in the world, with around 294 million chronic carriers. Determination of viral load is crucial for the monitoring and treatment follow-up of HBV-infected patients. In-house methods are economical alternatives for those settings where HBV viral load determination might not be widely available commercially. Molecular diagnostic techniques need to take into account the variability of this virus. The aim of this study was the evaluation and optimization of a real-time PCR method for the determination of HBV load. After optimization, the in-house assay evaluated in this study showed acceptable sensitivity and specificity, allowing its use for monitoring patients in low-income settings.

Keywords: hepatitis B virus; viral load; optimization; qPCR; genotype

Resumen

La infección por el virus de la hepatitis B (VHB) es un gran problema de salud en el mundo, con alrededor de 294 millones de portadores crónicos. La determinación de la carga viral es de importancia crucial para el monitoreo y el seguimiento del tratamiento de los pacientes infectados por el VHB. Los métodos propios son alternativas económicas para aquellos países donde la determinación de la carga viral del VHB podría no estar ampliamente disponible comercialmente. Las técnicas de diagnóstico molecular deben tener en cuenta la variabilidad de este virus. El objetivo de este estudio fue la evaluación y optimización de un método de PCR en tiempo real para la determinación de la carga del VHB. La prueba propia analizada en este estudio mostró, después de la optimización, una sensibilidad y especificidad satisfactorias, lo que permitió su uso para el seguimiento de pacientes en comunidades de bajos ingresos.

Palabras clave: virus de hepatitis B; carga viral; qPCR; optimización; genotipo

INTRODUCTION

Around 294 million persons are chronically infected with the hepatitis B virus (HBV) in the world 1. HBV chronic infection frequently leads to cirrhosis and hepatocellular carcinoma (HCC), with at least 800,000 deaths each year 1. This infection is highly endemic in Sub-Saharan Africa, Asia, and Indigenous populations in the Americas and Oceania 2,3.

HBV belongs to the Hepadnaviridae family. It is a partially double-stranded DNA virus of around 3200 bp. In addition to the virus, viral-like particles also circulate, composed exclusively of the HBV surface antigen (HBsAg) within a non-infectious envelope 4. Up to ten genotypes and several subgenotypes have been described for HBV, with the American genotypes being the most divergent. The tenth HBV genotype J seems to be a recombinant one, and only one sequence is available 5.

A recombinant HBV vaccine has been developed, based on the HBsAg 6. After more than 30 years of worldwide vaccination, viral infection and HCC incidence reduction have been widely demonstrated 6,7. These measures have led the World Health Organization (WHO) to propose a plan for hepatitis elimination by 2030 8. However, nearly 300 million people remain chronically infected, and no effective treatment is currently available.

The functional cure of chronic hepatitis B is defined as HBsAg loss after therapy, which is rarely achieved with the current therapy. Novel agents in development and preexisting ones will probably bring the tools to approach this goal 9. In the last WHO guidelines of March 2024, HBV treatment is recommended for all adults and adolescents (over 12 years old) with chronic hepatitis B if:

  1. Evidence of significant fibrosis

  2. HBV DNA viral loads above 2000 IU/mL and ALT levels exceeding the upper limit of the reference range

  3. Or presence of coinfections, such as HIV, hepatitis C, hepatitis D, or other comorbidities 10.

The determination of the viral load is then of crucial importance for confirmation of viral replication and the monitoring of chronically infected hepatitis B patients. Several commercial assays are available to assess this biomarker, based on real-time PCR or transcription-mediated amplification (TMA), in most of the laboratories from high-income countries. However, this might not be the case in some low-income countries 11.

In-house methods are economical alternatives for those settings where HBV viral load determination might not be widely available commercially. Molecular diagnostic techniques need to take into account the variability of this virus. Portilho et al.12 developed a real-time PCR to determine HBV load. This study aimed to evaluate and optimize this real-time PCR method for determining HBV load.

MATERIALS AND METHODS

Sera from HBV-infected patients

This study was approved by the Bioethical Committee of IVIC (“Biología molecular de virus de hepatitis y el Virus de la Inmunodeficiencia adquirida (VIH) en Venezuela”, December 5, 2024). The sera of patients diagnosed with HBV infection, and who gave informed consent, were kept at -70°C until use. DNA was extracted from sera using the QIAamp Viral DNA Mini Kit (Hilden, Germany) and used in all the other analyses.

HBV PCR and sequencing

Nested PCR was carried out using previously reported primers 58P-1100N and S6- S3as 13. PCR-purified fragments were sent to Macrogen Sequencing Service (Macrogen, Korea) for sequencing. The phylogenetic analysis was performed with MEGA11 software 14.

Viral load determination

According to the manufacturer’s instructions, HBV viral load was determined with Bosphore® Ultra HBV Quantitation/ Detection (Anatolia Geneworks®, Istanbul, Turkey). This test has been used previously by several groups 15-17.

In-house real-time PCR determination

Real-time PCR for HBV was performed according to the protocol suggested by Portilho et al. 12. Additionally, an antisense modified primer was designed for an optimized assay: 5’-GGCCAAAATTCG- CAGTCCCCAACC-3’. Real-time PCR was run in a final volume of 15 µL, containing 6 µL of DNA, 1X PCR buffer, 1 mM MgCl2 , 0.4mM dNTP mixture, 0.23 µM of each primer and probe, 1.75 U Platinum® Taq DNA Polymerase (Thermofisher, USA). The final conditions for the optimized assay were: 95°C for 10 minutes, then 40 cycles at 97°C for 30 seconds, 54°C for 90 seconds, and a hold stage of 32°C for 60 seconds.

Statistical analysis

The correlation between the values of HBV viral load determined by the commercial assay and the in-house method was evaluated with the Pearson´s coefficient 18.

RESULTS

Serum samples from HBV-infected patients were analyzed by a commercial kit and the in-house real-time PCR to evaluate the performance of an in-house real-time PCR. A total of nine sera (and dilutions of them for a total of 14 samples tested) were tested, with variable HBV loads: five sera were classified as HBV genotype F3 (one not shown in the tree, since the sequence was shorter, but it could be classified as F3), and one each as genotype A2, C2, F2, and F4 (Fig. 1).

Fig. 1 Phylogenetic tree of the HBV isolates tested in this study. The S gene is analyzed (559 nt). The evolutionary history was inferred using the Maximum Likelihood method and the General Time Reversible model14. The tree with the highest log likelihood (-2602.78) is shown. The percentage of trees in which the associated taxa clustered is shown next to the branches. Initial tree(s) for the heuristic search were obtained by applying the Neighbor-Joining method to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach. A discrete Gamma distribution was used to model evolutionary rate differences among sites (4 categories (+G, parameter = 0.6597)). The rate variation model allowed some sites to be evolutionarily invariable ([+I], 62.58% sites). The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. This analysis involved 45 nucleotide sequences. Codon positions included were 1st+2nd+3rd+Noncoding. All positions with less than 80% site coverage were eliminated, i.e., fewer than 20% alignment gaps, missing data, and ambiguous bases were allowed at any position (partial deletion option). Bootstrap values are shown in the branches of the tree. The isolates are named by their genotype and GenBank accession number, except for the ones from this study (n=8), which are shown in purple. An additional HBV isolate (B02023) was not included in the tree since the shorter sequence could also be classified as genotype F3. 

A good agreement was found between the commercial assay and the in-house method for 9/14 samples, but with an overall low correlation of R2=0.47 (Fig. 2A). The samples exhibiting the discrepant results between the two tests were derived from two samples, corresponding to HBV genotype C2 and F3 isolates. When these samples were excluded, the correlation coefficient increased to R2=0.98 (Fig. 2B).

Fig. 2 Correlation between viral load determination with a commercial assay and the in-house method of Portilho et al. 12. 2A. All the samples were tested. Green and open circles represent the dilution of a sample, as shown in the filled green. Orange open circles represent dilution of a synthetic control (amplicon from sample B4810, which is shown in filled orange). 2B. Correlation for samples without discordant results (orange and purple in Fig. 2A, derived from B4810 and B5415, respectively) were omitted. 

An alignment of the sequences of the HBV samples for which discrepant results were observed is shown in Fig. 3. The alignment reveals multiple mismatches between the antisense primer and several HBV isolates, absent in the sequences without discrepant results. The mismatches were present, particularly in genotype C isolates.

Fig. 3 Sequence alignment of the HBV preS region amplified by the in-house real-time test. Reference sequences are shown with their genotypes. The sequence of the samples used in this study is also included, except for B02023, since the sequence was shorter and does not cover the region. The primers from Portilho et al. 12 for the in-house test are shown in blue. The new modified reverse primer is shown in red. The reverse complement sequences are shown for the reverse primers. 

A new antisense primer for an optimized real-time PCR was designed (Fig. 3). The complementarity of the three primers (sense, the new antisense and the probe) was evaluated in a total of 16516 sequences from the HBV database 19, as shown in Table 1. The three primers showed high sequence identity with the analyzed HBV sequences from all the genotypes analyzed: for some sequences, one or two internal mismatches were observed, frequently at the 5´end. These few mismatches per sequence (not at the 3´ end of the primer) may not hamper the adequate performance of the real-time PCR. The probe also demonstrated satisfactory performance. In general, the sequence of this probe was well conserved among all the isolates. The only exceptions might be for the recombinant forms of HBV, for which the mismatches were frequent, particularly with the probe, and for some HBV genotype C sequences.

Table 1 Complementarity of the primers used in the modified in-house method with HBV sequences available in the HBV database. 

HBV genotype N of sequences Sequences with divergence1
preSf preSr2 preSprobe
A 2359 104 48 64
B2 3534 246 64 68
C3 5088 386 1639 160
D4 3220 399 123 45
E5 894 28 124 17
F5 357 39 4 5
G6 87 2 0 0
H7 48 4 3 0
RF8 929 237 134 287
Total (%) 16516 8.85% 12.95% 2.34%

1The complementarity of the primers tested in the new in-house method were analyzed in the 16516 HBV sequences of the HBV database 19. Most of the observed divergences in the complementarity with the primers correspond to only one or two internal mismatches. 2 For preSf and PreSr2, most of the sequences exhibited one mismatch at the 5´end, so this first nt of the primer was not considered in the analysis. 3 Some mismatches were found in the 3´end of the primers: 38 sequences exhibited this mismatch for primer preSf, only 3 for preSr2. 4 One sequence with a mismatch at the 3´end. 5 For preSf primer, most of the sequences exhibited one mismatch at the 5,7´end, so this first nt was not considered in the analysis. 6 All the genotype G isolates have a T instead of an A in the fifth position of the primer preSr2, from 3´to 5´end, so this position was not considered in the analysis. 8 RF: recombinant forms. Many sequences exhibited one or more mismatches, internal or at the 5´end.

Fig. 4 shows the correlation of the optimized in-house real-time PCR with the commercial assay. A strong correlation was observed across all the tested samples, using the new antisense primer, including discrepant samples and their dilutions (R2=0.99, Fig. 4).

Fig. 4 Correlation between viral load determination with a commercial assay and the optimized in-house method. Dilutions of the sample B4810 (10-1, 10-3, and 10-4) are shown in open orange circles, while sample 5379 and its dilutions (10-1 and 10-2 open circles) are shown in green. 

Fig. 5 shows the performance of the in-house test with HBV-positive and negative samples. Most negative samples did not exhibit any signal during the PCR process (40 cycles), although 1/20 negative samples had a cycle threshold (Ct) value of 39.01. The detection limit was fixed at 50 UI/mL (Ct value around 35), which is acceptable for managing HBV-infected patients.

Fig. 5 Performance of the optimized in-house real-time PCR with sera from HBV-infected patients or non-infected with this virus. Ct values of positive (left, 38 samples) and negative (right, 20 samples) HBV samples. The HBV negative samples were samples from six HCV positive, three dengue virus positive, two HIV-1 positive, 1 HAV positive, 1 HEV positive, and six with any known infecting virus. 

DISCUSSION

Hepatitis B is still a significant health problem in Venezuela, even if vaccination campaigns may have reduced the burden of this disease, particularly in some indigenous populations, where HBV infection remains highly endemic 20. The most common HBV genotype in Venezuela is F (F3, followed by F2, and less frequently F1 and F4), followed by HBV genotypes with worldwide distribution (A and D) and infrequently the HBV Asian B and C, particularly these last ones in immigrants 13,20. The samples from this study included different subgenotypes circulating in the country, and this diversity was important to assess the performance, particularly in terms of sensitivity, of the real-time PCR test analyzed.

A low correlation was observed between the commercial assay and the original in-house primers proposed by Portilho et al. 12. This finding contrasts with their analysis of 40 serum samples, where a good correlation with the commercial assay was observed 12. However, the authors did not mention the genotype of their samples.

Although HBV is a DNA virus, it displays a level of variability intermediate between RNA and DNA viruses. The dependence of a reverse transcriptase for its replication, which lacks proof-reading activity, increases the mutation rate of this virus. In contrast, the highly compact genome (one of the smallest animal DNA genomes), with a high degree of overlap in the different open reading frames, reduces the viability of some of these mutations. The result is an intermediate mutation rate, compared to a DNA and an RNA virus 20. The variability exhibited by different HBV genotypes leads to differential pathogenesis and variable resistance to IFN treatment 21. In addition, the accuracy of primers in PCR reactions is always limited.

In this study, analyzing more than 16,500 sequences to evaluate the suitability of the new proposed primers suggests that we can be confident in using those modified primers. The only exception might be the recombinant isolates (and some genotype C isolates), although we could not test any recombinant isolates. Recombination is a common phenomenon in HBV 22,23. Infection with some HBV genotypes has been associated with a more severe disease and more rapid progression to HCC, for example, infection with HBV genotype C: the relationship between HBV recombinant genotypes and pathogenesis is unknown at present 20,21. The recombinant forms, in any case, may affect the sensitivity of molecular diagnostic techniques.

In conclusion, modifying the HBVpreS reverse primer significantly improved the correlation of the viral load determination by the in-house method, with the commercial assay, increasing then the performance of this test. The new version of the in-house test displayed a satisfactory sensitivity and specificity, allowing its use for monitoring patients in low-income settings. A limitation of this study is the relatively low number of samples evaluated by the commercial assay and the in-house test. The in-house test tested a higher number of samples (n=38 positive samples, and 20 negative, the last ones without any signal). In addition, the in silico validation of the assay with more than 16,000 sequences makes us confident in the performance of the optimized test.

ACKNOWLEDGMENTS

To the health personnel who effectively attended to the cases of hepatitis in this study.

REFERENCES

1. Jeng WJ, Papatheodoridis GV, Lok ASF. Hepatitis B. Lancet 2022: S0140-6736(22)01468-4. https://doi.org/ 10.1016/S0140-6736(22)01468-4. [ Links ]

2. GBD 2019 Hepatitis B Collaborators. Global, regional, and national burden of hepatitis B, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Gastroenterol Hepatol 2022; 7: 796-829. https://doi.org/ 10.1016/S2468-1253(22)00124-8. [ Links ]

3. MacLachlan JH, Cowie BC. Hepatitis B virus epidemiology. Cold Spring Harb Perspect Med 2015; 5: a021410. https://doi.org/ 10.1101/cshperspect.a021410. [ Links ]

4. Gerlich WH. Medical virology of hepatitis B: how it began and where we are now. Virol J 2013; 10: 239. https://doi.org/ 10.1186/1743-422X-10-239. [ Links ]

5. McNaughton AL, Revill PA, Littlejohn M, Matthews PC, Ansari MA. Analysis of genomic-length HBV sequences to determine genotype and subgenotype reference sequences. J Gen Virol 2020; 101: 271-283. https://doi.org/ 10.1099/jgv.0.001387. [ Links ]

6. Pujol FH, Toyé RM, Loureiro CL, Jaspe RC, Chemin I. Hepatitis B eradication: vaccine as a key player. Am J Transl Res. 2023; 15: 4971-4983. [ Links ]

7. Huzair F, Sturdy S. Biotechnology and the transformation of vaccine innovation: The case of the hepatitis B vaccines 1968-2000. Stud Hist Philos Biol Biomed Sci 2017; 64: 11-21. https://doi.org/ 10.1016/j.shpsc.2017.05.004. [ Links ]

8. World Health Organization. Combating Hepatitis B and C to Reach Elimination by 2030. Available from: Available from: https://apps.who.int/iris/bitstream/handle/10665/206453/WHO_HIV_2016.04_eng.pdf . Accessed on December 22, 2024 [ Links ]

9. Feld JJ, Lok AS, Zoulim F. New Perspectives on Development of Curative Strategies for Chronic Hepatitis B. Clin Gastroenterol Hepatol. 2023; 21: 2040-2050. https://doi.org/ 10.1016/j.cgh.2023.02.032. [ Links ]

10. WHO. Guidelines for the prevention, diagnosis, care and treatment for people with chronic hepatitis B infection. Geneva: World Health Organization; 2024. Licence: CC BY-NC-SA 3.0 IGO. [ Links ]

11. Pawlotsky JM. Virological markers for clinical trials in chronic viral hepatitis. Virological markers for clinical trials in chronic viral hepatitis. JHEP Rep. 2024; 6: 101214. https://doi.org/ 10.1016/j.jhepr.2024.101214. [ Links ]

12. Portilho MM, Mendonça ACDF, Bezerra CS, do Espirito-Santo MP, de Paula VS, Nabuco LC, et al. Usefulness of in-house real time PCR for HBV DNA quantification in serum and oral fluid samples. J Virol Methods. 2018; 256: 100-106. https://doi.org/ 10.1016/j.jviromet.2018.03.001. [ Links ]

13. Devesa M, Loureiro CL, Rivas Y, Monsalve F, Cardona N, Duarte MC, et al.. Subgenotype diversity of hepatitis B virus American genotype F in Amerindians from Venezuela and the general population of Colombia. J Med Virol. 2008; 80: 20-26. doi: https://doi.org/ 10.1002/jmv.21024. [ Links ]

14. Tamura K, Stecher G, and Kumar S. MEGA11: Molecular Evolutionary Genetics Analysis version 11. Mol Biol Evol. 2011; 38: 3022-3027. https://doi.org/ 10.1093/molbev/msab120. [ Links ]

15. Uzunoğlu E, Şahin AM, Avci E, Kutlu H, Güntepe G. Can HBsAg Be Used as a Viral Replication Marker in Chronic Hepatitis B Patients? Viral Hepa J. 2017; 23: 55-59. [ Links ]

16. Aynalia A, Ciftcia E, Aridogana BC, Cetina ES, Kayab S, Carsancaklia SA, Ozturka T. Evaluation of viral load distribution of HBV DNA positive patients at Suleyman Demirel University Hospital. J Exp Clin Med. 2015; 32: 147-150. https://doi.org/ 10.5835/jecm.omu.32.04.002. [ Links ]

17. Guney M, Bakir A, Erdal H, Gunal A, Yildiz F, Sig AK, Kurkcu MF, Yavuz MT, Gulsen M. The Correlation between Histopathological Stages and Viral Markers of Chronic Hepatitis B infection in Ankara, Turkey. Int J Innov Sci Res Technol. 2021; 6: 1066-1070. [ Links ]

18. Akoglu H. User’s guide to correlation coefficients. Turk J Emerg Med. 2018; 18: 91-93. https://doi.org/ 10.1016/j.tjem.2018.08.001. [ Links ]

19. HBVdb. The Hepatitis B Virus database. https://hbvdb.lyon.inserm.fr/HBVdb/HBVdbIndex . Accessed on December 27, 2024. [ Links ]

20. Pujol F, Jaspe RC, Loureiro CL, Chemin I. Hepatitis B virus American genotypes: Pathogenic variants? Clin Res Hepatol Gastroenterol. 2020; 44: 825-835. https://doi.org/ 10.1016/j.clinre.2020.04.018. [ Links ]

21. Chen J, Li L, Yin Q, Shen T. A review of epidemiology and clinical relevance of Hepatitis B virus genotypes and subgenotypes. Clin Res Hepatol Gastroenterol. 2023; 47: 102180. https://doi.org/ 10.1016/j.clinre.2023.102180. [ Links ]

22. Araujo NM. Hepatitis B virus intergenotypic recombinants worldwide: An overview. Infect Genet Evol. 2015; 36: 500-510. https://doi.org/ 10.1016/j.meegid.2015.08.024. [ Links ]

23. Locarnini SA, Littlejohn M, Yuen LKW. Origins and Evolution of the Primate Hepatitis B Virus. Front Microbiol. 2021; 12: 653684. https://doi.org/ 10.3389/fmicb.2021.653684. [ Links ]

Funding

The Ministerio del Poder Popular para Ciencia y Tecnología de Venezuela (MinCyT) financed this project, Proyecto Mujer 2024.

Participation of authors

MZS, YS, RJC, CL, FHP: Substantial contribution to the conception and design of the study; data collection or their analysis and interpretation, critical review of the article and approval of the final versión to be published. HRR: critical review of the article and approval of the final versión to be published.

Received: March 10, 2025; Accepted: May 09, 2025

Corresponding author: Flor Helene Pujol. Laboratorio de Virología Molecular, CMBC, Instituto Venezolano de Investigaciones Científicas (IVIC), Caracas, Venezuela. E-mail: fhpujol@gmail.com

Declaration of conflicts of interest

The authors declare that they have no conflict of interest.

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License