Literature DB >> 33054824

Human pegivirus (HPgV, GBV-C) RNA in volunteer blood donors from a public hemotherapy service in Northern Brazil.

Aniel de Sarom Negrão Silva1, Clayton Pereira Silva2, Rafael Ribeiro Barata2, Pedro Victor Reis da Silva3, Patrícia Danin Jordão Monteiro4, Letícia Lamarão4, Rommel Mário Rodríguez Burbano5, Márcio Roberto Teixeira Nunes2, Patrícia Danielle Lima de Lima3.   

Abstract

BACKGROUND: Human pegivirus (HPgV)-formerly known as GBV-C-is a member of the Flaviviridae family and belongs to the species Pegivirus C. It is a non-pathogenic virus and is transmitted among humans mainly through the exposure to contaminated blood and is often associated with human immunodeficiency virus (HIV) infection, among other viruses. This study aimed to determine the prevalence of HPgV viremia, its association with HIV and clinical epidemiological factors, as well as the full-length sequencing and genome characterization of HPgV recovered from blood donors of the HEMOPA Foundation in Belém-PA-Brazil.
METHODS: Plasma samples were obtained from 459 donors, tested for the presence of HPgV RNA by the RT-qPCR. From these, a total of 26 RT-qPCR positive samples were submitted to the NGS sequencing approach in order to obtain the full genome. Genome characterization and phylogenetic analysis were conducted.
RESULTS: The prevalence of HPgV was 12.42%. We observed the highest prevalences among donors aged between 18 and 30 years old (16.5%), with brown skin color (13.2%) and men (15.8%). The newly diagnosed HIV-1 prevalence was 26.67%. The HPgV genotype 2 (2a and 2b) was identified. No data on viral load value was found to corroborate the protective effect of HPgV on HIV evolution.
CONCLUSIONS: This study provided information regarding the HPgV infection among blood donors from HEMOPA Foundation. Furthermore, we genetically characterized the HPgV circulating strains and described by the first time nearly complete genomes of genotype 2 in Brazilian Amazon.

Entities:  

Keywords:  Blood donors; Genome; HIV coinfection; Pegivirus; Prevalence

Year:  2020        PMID: 33054824      PMCID: PMC7556973          DOI: 10.1186/s12985-020-01427-6

Source DB:  PubMed          Journal:  Virol J        ISSN: 1743-422X            Impact factor:   4.099


Background

Human pegivirus (HPgV), formerly known as GBV-C or hepatitis G virus (HGV), is a member of the Flaviviridae family, belongs to the species Pegivirus C [1]. HPgV is an enveloped virus with a single-stranded, positively polarized RNA genome comprising approximately 9,400 nucleotides. The viral genome is similar to the genome of the hepatitis C virus and contains a single open reading frame (ORF) located between the untranslated regions (UTRs) at the 5′ and 3′ ends of the viral genome. The 5′-NTR region is highly conserved with an internal ribosome entry site (IRES) and is responsible for the initiation of the translation of the viral RNA, resulting in the synthesis of a polyprotein of approximately 3,000 amino acid residues. Through the action of cellular peptidases and viral proteases, the polyprotein is cleaved to produce eight mature yet incompletely characterized proteins, including the two structural (E1 and E2) and seven non-structural (NS) proteins [2-4]. HPgV is transmitted among humans mainly through exposure to contaminated blood. This transmission profile deems HPgV as a common coinfection with other viruses such as HIV-1, hepatitis C virus (HCV), and Ebola virus [5-7]. Up to 40% of the individuals infected with HIV and/or HCV are positive for HPgV infection [8, 9] People HIV-1 co-infected with HPgV experience slower disease progression that may be influenced by the interference of HPgV on the pathogenicity of HIV-1 [10, 11]. However, the mechanism by which HPgV mediates this protective effect remains inconclusive [12, 13]. Several studies carried out in different populations in the last decades in Brazil have shown varying prevalence rates of HPgV infections [14, 15]. Studies among healthy blood donors conducted in Brazil revealed prevalence rates of 19.5% and 9.7% among individuals with prior exposure and active infection, respectively. [16]. However, the most significant prevalence reported was among patients with HIV, with a value reaching up to 34% [17]. The prevalence of the virus is lower in the developed countries (1–5%) than in the developing countries -(approximately 20%), with South America exhibiting a prevalence rate of up to 14.6% among blood donors [4]. Seroprevalence studies revealed the presence of anti-E2 antibodies in 19.5% of healthy blood donors [18]. However, data about the soroprevalence of HPgV viremia and its circulating strains in the Northern Brazilian population are scarce, particularly among blood donors. This study aimed to determine the prevalence of HPgV viremia and its association with clinical epidemiological factors and the presence of HIV, as well as the complete genome characterization of HPgV strains in volunteer blood donors from a public hemotherapy service in Northern Brazil.

Methods

Blood donors and the collection of serum samples

A cross-sectional study was performed to determine the prevalence of HPgV infection among blood donors from the HEMOPA Foundation between March 2017 and April 2018. Epidemiological data were obtained through access to the HEMOPA Foundation donor registry. The sample size was calculated using EpiInfo™ software [19] based on the presumed prevalence of 5% to 10% of HPgV in Brazil [17, 20]. For this calculation, the number of blood donors registered in 2016 at the HEMOPA Foundation (63,501), 95% confidence level, and 20% margin adjustment was used to obtain a total of 366 individuals. A total of 459 serum samples (400 μL) from the blood donors from the HEMOPA Foundation were tested.

Extraction and detection of HIV, HCV, and HPgV nucleic acids

The extraction of nucleic acids was performed using the QIAmp RNA mini Kit (Qiagen®, Hilden, Germany) according to the manufacturer’s recommendations. HIV and HCV detection were performed with Hemocenter’s Nuclear Acid Test Platform (NAT) using the HIV/HCV NAT kit (Bio Manguinhos®, Rio de Janeiro, Brazil), according to the manufacturer’s recommendations. The presence of HPgV nucleic acid was evaluated by the RT-qPCR, using the custom Assay TaqMan® Fast Virus 1-Step, developed by AB Applied Biosystems (Foster City, California, EUA), following the manufacturer’s Fast protocol as follows: 1 cycle of reverse transcription (RT) for 2 min at 50 °C; inactivation of Reverse Transcription (RT)/start of denaturation (1 cycle) for 20 s at 95 °C; amplification for 40 cycles of 95 °C for 3 s and 60 °C for 30 s. The selected primers corresponded to the 5′-UTR of the viral genome according to GenBank NC_001710 and were as follows: RTG1 (GTGGTGGATGGGTGATGACA; sense), RTG2 (GACCCACCTATAGTGGCTACCA; antisense), and NFQ (5′-FAM-CCGGGATTTACGACCTACC3′; probe) [17].

Quantification of HIV-1 and HPgV plasma viral load

HIV-1 viral load was measured in a Real-Time Rotor-Gene® Q platform using artus HI Virus-1 RG RT-PCR (QIAGEN Hilden, Germany) and HPgV viral load was measured in a Real-Time LightCycler® 480 Instrument II (Roche Applied Science, Penzberg, Germany) using TaqMan® Fast Virus 1-Step Master Mix (Foster City, California, USA). Both methods strictly followed the manufacture´s recommendation.

High-throughput sequencing

The RNA, obtained in the nucleic acid extraction step, was quantified in Qubit 2.0 fluorometer (Thermo Fisher Scientific), using the QubitTM RNA HS Assay Kit 500 assays (Invitrogen by Thermo Fisher Scientific). Then, cDNA was synthesized using the cDNA Synthesis System Roche® kit (Roche Applied Science), as described by the manufacturer. The subsequent step was the quantification of cDNA using the Qubit 2.0 fluorometer (Thermo Fisher Scientific), using the QubitTM dsDNA HS Assay Kit (Invitrogen by Thermo Fisher Scientific) and analysis of cDNA integrity in the equipment 2100 Bioanalyzer (Agilent Technologies) using the high sensitivity DNA reagents kit (Agilent Technologies). Genome sequencing was performed using the HiSeq 2500 platform (Illumina) as previously described [21].

Bioinformatics analysis

Generated reads were filtered, adapters and reads with Phred quality scores below 20 and size less than 50 nt, were removed using Trim Galore 0.4.4, Cutadapt and Prinseq-lite 0.20.4 software [22-24]. The filtered reads were used in de novo assembly strategy applying two software: IDBA-UD v.1.1.3 [25] and MEGAHIT v.1.1.3 [26], both set to a k-mer range of 21 to 91, varying every 10 k-mer. For the removal of redundant data, generated contigs were processed using CD-Hit-Est v.4.7 [27] set to a threshold of 90% identity. Then, the non-redundant contigs were aligned against the NCBI non-redundant protein database using the Blastx (https://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastx&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome) algorithm and the software Diamond v.0.9.22 [28].

Genome characterization and phylogenetic inference

The HPgV genomes sequences, identified by the Blastx algorithm, were used for predicting the coding region (Open Reading Frame; ORF), as well as the 5′-UTR and 3′-UTR regions using the Geneious v9 tool. Viral genomes were aligned with other HPgV complete genomes available in GenBank database using the MAFFT v7 software [29]. For phylogenetic analyses, complete ORFs from aligned genomes were used to perform the phylogenetic reconstructions using the maximum-likelihood method, generated by RAxML v.8.2.12 [30], applying 1000 bootstrap replicates [31] and the best nucleotide replacement model calculated by JModelTest [32]. Complete genome sequences of HPgV obtained in this study have been submitted to GenBank (accession numbers MN215894–MN21591).

Statistical analysis

The differences between the groups were analyzed with the chi-square test, G test of independence, Student’s t-test, and odds ratio. The level of significance of α = 0.05 was adopted for the rejection of the null hypothesis. Statistical analyses were performed using the BioEstat program version 5.3 and GraphPad Prism version 8; Microsoft Excel Professional 2007 program was used for data processing and to prepare tables and databases.

Results

Plasma samples were obtained from 459 donors at the time of screening. The prevalence of HPgV in the samples was 12.42% (n = 57) and a total of 26.14% (n = 120) of the donors were HIV positive, diagnosed through routine tests carried out at the HEMOPA Foundation. The HPgV prevalence among HIV donors was 26.67% (n = 32, p < 0 0.0001). HIV positive donors were four times more likely to have HPgV infection than those HIV negative (odds ratio = 4.56, p < 0.0001, 95% confidence interval [CI]:2.57–8.10). The highest prevalences of HPgV were observed among donors with ages ranging from 18 to 30 years old (16.5%, p = 0.024), men (15,8%, p = 0.005) with brown skin color (13.2%, p = 0,462) and 12 or more years of education (24.0%, p < 0.0001) (Table 1).
Table 1

Clinical epidemiological data on the prevalence of HPgV among blood donors

Variable/categoryTotalHPgV+HPgVp-value
n(%)n(%)n(%)
Age (years)
18–3022448.83716.518783.5p = 0.0273
31–5019742.9189.117990.9
 ≥ 51388.325.33694.7
Skin color
Brown35677.64713.230986.8p = 0.462
White8418.3910.77589.3
Black194.115.31894.7
Sex
Male28461.94515.824184.9p = 0.0056
Female17538.1126.916192.0
Education (years of study)
 ≥ 1214631.83524.011176.0p < 0.0001
9 to 1125956.4197.324092.7
 ≤ 85411.835.65194.4
Co-infection
HIV+ 12026.13226.78873.3p < 0.0001
HIV− 33973.9257.431492.6
Clinical epidemiological data on the prevalence of HPgV among blood donors In 18 of the 57 HPgV positive samples (31.6%) near-complete genomes sequences were obtained. The BlastX result of the 18 genomes obtained showed 91% to 93.24% identity with Human pegivirus sequences from the United Kingdom (LT009489 and LT009494), France (MH053115) and Japan (D87255), available from GenBank / NCBI (Table 2). The pairwise alignment of the polyprotein amino acid sequences of these four strains of the bank along with the 18 described sequences showed an identity of 98.6%.
Table 2

BlastX result for 18 nearly complete HPgV genome sequences obtained from blood donors from Belém-PA-Brazil

SampleGenome lenthMean coverBest hitQuery cover (%)E-valueIdentity (%)Accession
P018,39214,8Human pegivirus isolate 56,330,229100092.14LT009489
P028,99520,1Human pegivirus isolate JD2B2C99091.00MH053115
P098,93322,9Human pegivirus isolate 56,330,22999092.34LT009489
P139,101593,8Human pegivirus isolate JD2B2C100091.63MH053115
P219,172448,6Hepatitis G virus100093.24D87255
P228,81126Human pegivirus isolate JD2B2C99091.60MH053115
P239,190133,7Human pegivirus isolate JD2B2C99091.73MH053115
P249,306386Human pegivirus isolate 56,330,22999092.80LT009489
P259,241327,1Human pegivirus isolate JD2B2C99091.64MH053115
P269,189143,7Human pegivirus isolate JD2B2C99091.92MH053115
P278,87322,6Human pegivirus isolate 56,330,22999092.29LT009489
P288,91332,5Hepatitis G virus99093.21D87255
P319,521538,5Human pegivirus isolate 56,330,22999092.51LT009489
P329,256182,7Human pegivirus isolate 56,330,28699092.25LT009494
P339,409640Human pegivirus isolate 56,330,286100092.40LT009494
P349,270146,1Human pegivirus isolate 56,330,229100092.44LT009489
P359,198755,6Human pegivirus isolate 56,330,229100092.22LT009489
P559,203566,4Human pegivirus isolate 56,330,229100092.27LT009489
BlastX result for 18 nearly complete HPgV genome sequences obtained from blood donors from Belém-PA-Brazil All nearly complete genome sequences showed the common genome organization related to members of the HPgV: unique and large ORF flanked by 5′and 3′ UTRs. The phylogenetic tree represented the genotypes (1, 2a, 2b, 3, 4, 6 and 7), including two subgenotypes (2a and 2b). All the sequences of the HPgV genome obtained clustered with sequences of the HPgV genotype 2, subgenotypes 2a and 2b, with high bootstrap values (> 90%) (Fig. 1).
Fig. 1

Phylogenetic tree of Human pegivirus (HPgV) generated with complete polyprotein ORF, using RAxML with the GTR + I + G + F nucleotide substitution model using 1000 bootstrap replicas displaying only values greater than 70

Phylogenetic tree of Human pegivirus (HPgV) generated with complete polyprotein ORF, using RAxML with the GTR + I + G + F nucleotide substitution model using 1000 bootstrap replicas displaying only values greater than 70 Viral load was compared in two groups. First we compared HIV viral load in monoinfected (HIV-1) and coinfected (HIV-1/HPgV). Then, we compared HPgV viral load in monoinfected (HPgV) and coinfected group (HPgV/HIV-1). We found a higher HIV-1 viral load in the coinfected (2.72 Log10) than in the monoinfected group (2.00 Log10; Fig. 2a). While a higher HPgV viral load (4.28 Log10) was observed in the monoinfected group in comparison with coinfected group (HPgV, Fig. 2b).
Fig. 2

Virological profiles of newly diagnosed blood donors with HIV-1 and HPgV. a Comparison of plasma HIV-1 viral load between HIV-1 monoinfected group and HIV-1/HPgV coinfected group. b Comparison of plasma HPgV viral load between HPgV monoinfected group and HPgV/HIV-1 coinfected group

Virological profiles of newly diagnosed blood donors with HIV-1 and HPgV. a Comparison of plasma HIV-1 viral load between HIV-1 monoinfected group and HIV-1/HPgV coinfected group. b Comparison of plasma HPgV viral load between HPgV monoinfected group and HPgV/HIV-1 coinfected group

Discussion

The prevalence of HPgV-1 among blood donors was 12,4%, which is consistent and not significantly different from the expected prevalence in developing countries (up to 20%) [4, 33]. The prevalence calculated in this study was 2,8% higher than reported Slavov et al. [34] in a study among blood donors from the city of Macapá (northern Brazil). Previous studies have shown that the prevalence of HPgV among blood donors in most regions of Brazil varies from 5 to 10% [16, 35–38], although Da Mota et al. [39] have found a high prevalence of 21.7% in the southernmost region of Brazil. In our findings, the highest prevalence of HPgV occurred among subjects between 18 and 30 years of age (16.5%), males (15.8%), and brown individuals (13.2%). It is important to highlight that the epidemiological profile of the donors was similar to that observed in the epidemiology of HIV/AIDS in Brazil, wherein the majority of the infected individuals were male and young subjects (15 to 39 years) with up to 11 years of study (completed high school) [40]. The prevalence of HPgV among the individuals diagnosed with HIV-1 reported in this study was 26,7%, which is 9,7% higher than that reported by Miranda et al. [41]. [38] The high prevalence of HPgV among HIV-1 individuals has been reported in several studies in Brazil and the world [42-44]. The association between the presence of HPgV and HIV is owing to the fact that HPgV likely acts as a protective factor for the development of HIV [44-46]. As was seen in some studies, HIV-1 infected people have reduced mortality when co-infected with HPgV [47, 48]. This protective effect may be due to the inducing effect of HPgV on CD4 and CD8 T lymphocytes, leading to antiretroviral factors secretion and also to the reduction of the expression of the HIV-1 co-receptor CCR5, as reported by Jung et al. and Xiang et al., on in vitro experiments [49, 50]. Nevertheless, the present study showed no evidence of viral load value that corroborated with the protective effect of HPgV in the evolution of HIV-1, instead, HIV-1 viral load in the coinfected group (HIV-1/HPgV) was 0.72 Log10 (p = 0,002) higher than in a monoinfected group (HIV-1 positive). Another consideration is that all individuals in our sample were newly diagnosed with HIV-1 during the acute phase, suggesting that HPgV does not exert a protective effect on the pathogenesis of HIV-1 during the acute phase as suggested Bailey et al. [51]. On trials investigating the interaction of SPgV (Simian Pegivirus) and SIV (Simian immunodeficiency virus) infection, Bailey et al. found no evidence of a protective effect of SPgV on the evolution of SIV in the acute phase of infection. The protective immunomodulatory effect of SPgV was observed only in the chronic phase of SIV infection [51]. Extending this observation, our findings corroborate the hypothesis suggested that HPgV does not exert a protective effect during the acute phase of HIV infection, since the HIV positive individuals in this study were all newly diagnosed. Otherwise, as seen in several other studies, there is a likely beneficial relationship between HPgV and the chronic phase of HIV infection [4, 47, 52, 53]. The phylogenetic analysis revealed the presence of genotype 2 and the subtypes 2a and 2b in the studied population. These findings corroborate previous studies that identified these same genotypes in other regions of Brazil [20, 35, 42] and in Brazilian Amazon [34]. HPgV is known as a non-pathogenic virus and is not part of the routine diagnosis in the HEMOPA Foundation, but further studies are necessary to evaluate the unclear aspects related to HPgV infection especially those related to viral biology and interaction with HIV-1. This study genetically characterized and identified, by the first time, the circulating strains of HPgV among blood donors from HEMOPA Foundation and described by the first time nearly complete genomes of genotype 2 in Brazilian Amazon.

Conclusions

This study provided information regarding the HPgV infection among blood donors from HEMOPA Foundation. Furthermore, we genetically characterized the HPgV circulating strains and described by the first time the genotype 2 genomes in the Brazilian Amazon region.
  48 in total

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Authors:  Luísa D Da Mota; Fabiana Finger-Jardim; Cláudio M Silva; Fabiana N Germano; Maiba M Nader; Carla Vitola Gonçalves; Vanusa P Da Hora; Jussara Silveira; Rossana P Basso; Marcelo A Soares; Ana M B Martínez
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Journal:  AIDS       Date:  2005-08-12       Impact factor: 4.177

4.  Hepatitis G virus: prevalence and sequence analysis in blood donors of São Paulo, Brazil.

Authors:  L Bassit; B Kleter; G Ribeiro-dos-Santos; G Maertens; E Sabino; D Chamone; W Quint; A Sáez-Alquézar
Journal:  Vox Sang       Date:  1998       Impact factor: 2.144

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Authors:  Lucas M Santos; Rubens C Lobato; Maria Fernanda M Barral; Carla V Gonçalves; Vanusa P da Hora; Ana Maria B Martinez
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Authors:  P Gallian; V Rodrigues; J F Cantaloube; H Dessein; P de Micco; A J Dessein; X de Lamballerie
Journal:  J Med Virol       Date:  1998-12       Impact factor: 2.327

7.  Prevalence, incidence density, and genotype distribution of GB virus C infection in a cohort of recently HIV-1-infected subjects in Sao Paulo, Brazil.

Authors:  Maria Teresa M Giret; João Luiz Miraglia; Maria Cecília Araripe Sucupira; Anna Nishiya; José Eduardo Levi; Ricardo S Diaz; Ester C Sabino; Esper G Kallas
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Authors:  Robert Schmieder; Robert Edwards
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9.  GB virus C infection is associated with altered lymphocyte subset distribution and reduced T cell activation and proliferation in HIV-infected individuals.

Authors:  Jack T Stapleton; Kathryn Chaloner; Jeffrey A Martenson; Jingyang Zhang; Donna Klinzman; Jinhua Xiang; Wendy Sauter; Seema N Desai; Alan Landay
Journal:  PLoS One       Date:  2012-11-29       Impact factor: 3.240

10.  Discovery of a Novel Human Pegivirus in Blood Associated with Hepatitis C Virus Co-Infection.

Authors:  Michael G Berg; Deanna Lee; Kelly Coller; Matthew Frankel; Andrew Aronsohn; Kevin Cheng; Kenn Forberg; Marilee Marcinkus; Samia N Naccache; George Dawson; Catherine Brennan; Donald M Jensen; John Hackett; Charles Y Chiu
Journal:  PLoS Pathog       Date:  2015-12-11       Impact factor: 6.823

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