Literature DB >> 32735876

Hepatitis C virus genotypes and associated risk factors in the state of Pará, Northern Brazil.

Geison Luiz Costa de Castro1, Ednelza da Graça Silva Amoras1, Mauro Sérgio Moura de Araújo1, Simone Regina Souza da Silva Conde2, Antonio Carlos R Vallinoto3.   

Abstract

BACKGROUND: Despite the emergence of more effective therapies, hepatitis C virus (HCV) infection remains a serious public health problem at the global level. Currently, this virus is classified into seven genotypes and 67 subgenotypes, which in turn are distributed heterogeneously in Brazil and worldwide. Studies have shown that this genetic divergence results in differences in the progression of chronic disease associated with HCV infection and its treatment.
OBJECTIVE: The aim of this study was to report the frequency of HCV genotypes in the state of Pará, Northern Brazil, and to assess the association between genotype and different clinical and laboratory characteristics, as well as risk factors for infection.
METHOD: Data from 85 medical records of untreated patients who had chronic hepatitis C infection were analyzed; the patients were evaluated at two hospitals in Belem, Pará, Brazil.
RESULTS: Circulation of genotypes 1 and 3 was detected, with a higher prevalence of genotype 1 (75.3%) than genotype 3 (24.7%). In addition, there was a predominance of subgenotype 1b (60.34%) compared to 1a (20.69%) and 3a (18.97%). Reuse of needles and/or glass syringes was significantly associated with infection by HCV genotype 1 than genotype 3; however, the small number of patients infected with genotype 3 may have biased the results. No associations between genotype and the evaluated clinical and laboratory characteristics were observed.
CONCLUSION: This study reinforces the differences in the distribution of HCV genotypes in Brazil and showed no association between HCV genotype and progression of chronic hepatitis C in the studied group.
Copyright © 2020 Sociedade Brasileira de Infectologia. Published by Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Brazil; Genotypes; HCV; Pará; Subgenotypes

Mesh:

Substances:

Year:  2020        PMID: 32735876      PMCID: PMC9392123          DOI: 10.1016/j.bjid.2020.06.010

Source DB:  PubMed          Journal:  Braz J Infect Dis        ISSN: 1413-8670            Impact factor:   3.257


Introduction

Hepatitis C virus (HCV) infection has a significant global impact on public health. It affects approximately 71 million people around the world and has caused the death of more than 400,000 carriers per year due to complications from the infection, including hepatic cirrhosis and hepatocellular carcinoma.1, 2 HCV belongs to the family Flaviviridae and has a single-stranded RNA genome with approximately 9.6 kb in length that encodes a polyprotein of around 3000 amino acid residues, which, in turn, is subsequently cleaved to form structural and nonstructural viral proteins. HCV viral RNA polymerase has a high error propensity during successive replications, resulting in high nucleotide substitution rates in the RNA chains of the viral particles produced and, consequently, in wide genotypic variability. Due to genomic sequence differences HCV is classified into seven genotypes and 67 subgenotypes with different degrees of divergence at the genome level.4, 5, 6 Different HCV genotypes show characteristic distributions in different regions of the world. Genotype 1 has the highest global prevalence, followed by genotypes 3, 4, and 2. The remaining cases of hepatitis C, approximately 5%, are caused by genotypes 5 and 6. In addition, genotype 7 was isolated in Canada from a single patient from Congo.7, 8, 9 Several studies have shown that HCV genotypes have considerable relevance in the clinical management of patients with chronic viral infection and clinical evolution of the disease, such as risk of progression to decompensated cirrhosis and occurrence of comorbidities, such as hepatic steatosis, as well as distict efficacy of different treatment regimens.12, 13 These divergences make HCV genotype analysis an important tool that should be considered in the context of chronic HCV infection. Therefore, the aim of this study was to report the frequency of HCV genotypes in the state of Pará, North Region of Brazil, and to assess the association between HCV genotype with different clinical and laboratory characteristics and risk factors for chronic infection.

Materials and methods

Study population and data analysis

A total of 85 chronic HCV carriers treated at the Santa Casa de Misericórdia do Pará Foundation and at João de Barros Barreto University Hospital of the Federal University of Pará between 2013 and 2016 were evaluated. Patient inclusion criteria were as follows: HCV chronic carrier status, age over 18 years old, detectable HCV RNA, absence of treatment during the collection period, and availability of clinical and biochemical parameters related to hepatic function. Exclusion criteria were as follows: previous diagnosis of autoimmune hepatitis, and coinfection with hepatitis B virus (HBV) or human immunodeficiency virus (HIV).

Ethical aspects

This study was approved by the Research Ethics Committee of João de Barros Barreto University Hospital (protocols 962.537/2015 and 2.165.948/2017) and by the Research Ethics Committee of the Santa Casa de Misericórdia do Pará Foundation (protocol 772.782/2014). All patients who agreed to participate in the study signed an informed consent form.

Biological samples

For the genotype analysis and biochemical tests, venous blood from each patient was collected in tubes containing separator gel to obtain serum, in tubes containing ethylenediaminetetraacetic acid anticoagulant, and in tubes containing sodium citrate. Liver biopsy samples were obtained from the patients after medical indication for evaluation of possible changes in the liver parenchyma. To obtain the specimens, a Trucut needle was used with ultrasound guidance. Hepatic biopsy specimens were examined at the Department of Pathology, Federal University of Pará (UFPA), using the criteria for histopathological diagnosis according to the METAVIR scale classification.

Clinical and laboratory assessment

The eligible patients underwent clinical evaluations at the respective health services of each hospital and answered questionnaires about risk factors for infection, risk of worsening, and history of liver disease. Abdominal ultrasound procedures, upper gastrointestinal endoscopy, liver biopsy, and evaluation of biochemical markers of liver function and liver damage were also performed. All obtained clinical and laboratory data were entered into medical records and subsequently stored in a database for analysis.

Viral load quantification and genotype determination

The quantitative analysis of HCV viral load (VL) and determination of viral genotypes and subgenotypes were performed at the Central Laboratory of the state of Pará (LACEN, for its acronym in Portuguese). VL was determined using RT-PCR (AMPLICOR MONITOR®, Roche Molecular Systems). The viral genotypes and subgenotypes were determined by sequencing the 5’ untranslated region of HCV using the Linear Array Hepatitis C Virus Genotyping Test (LiPA – Line Probe Assay – Roche Diagnostics).

Statistical analysis

BioEstat version 5.4 and SPSS version 22 (SPSS Inc., Chicago, IL, USA) were used for statistical processing of the data. Qualitative parameters were compared using the chi-square test, Fisher's exact test, and the G test. Initially, the Kolmogorov-Smirnov test was used to evaluate normality of continuous variables, which were compared using Student's t-test or Mann–Whitney test. Rejection of the null hypothesis, referring to the lack of an association between the factors evaluated, was established with a two-tailed p-value less than 0.05.

Results

The mean age of the evaluated patients was 55.22 ± 9.47 years. The molecular analysis detected genotypes 1 and 3 but no genotypes 2, 4, 5, 6 or 7. In addition, no mixed genotypes were detected. Genotype 1 was detected in 64 (75.3%) cases, whereas genotype 3 was detected in 21 (24.7%) cases. Among the 58 samples in which the HCV subgenotype was analyzed, 12 (20.69%) contained subgenotype 1a, 35 (60.34%) 1b, and 11 (18.97%) subgenotype 3a (Table 1).
Table 1

General data of the analyzed patients.

Female (n = 36)Male (n = 49)Total (n = 85)
Genotype
 127 (42.19%)37 (57.81%)64 (75.29%)
 39 (42.86%)12 (57.14%)21 (24.31%)



Subgenotype (N = 58)
 1a4 (33.33%)8 (66.67%)12 (20.69%)
 1b15 (42.85%)20 (57.15%)35 (60.34%)
 3a6 (54.54%)5 (45.45%)11 (18.97%)



Mean age56.28 ± 9.8251.9 ± 7.5855.22 ± 9.47
General data of the analyzed patients. The main identified risk factor for HCV acquisition was surgery before 1993, followed by transfusions, other surgeries after that year, and reuse of needles and/or glass syringes; the latter risk factor had a statistically significant association with viral genotype 1 infection. Viral genotype 3 infection was significantly associated with sharing needles and/or glass syringes (p = 0.0173). The other factors were not associated with any of the genotypes (Table 2).
Table 2

Data on risk factors for HCV acquisition.

Risk factorN (Total)TotalN (G1)G1N (G3)G3p-Value
Injectable drugsb827 (8.86%)645 (7.81%)182 (11.11%)0.6402
Inhalant drugsb828 (10.13%)646 (9.38%)182 (11.11%)0.9889
Reuse of equipmentb8220 (25.32%)6321 (33.33%)191 (5.26%)0.0173c
Tattoob838 (10.00%)645 (7.94%)193 (15.79%)0.3790



Blood transfusion
 Before 1993a8424 (29.63%)6418 (28.13%)207 (35%)0.7590
 After 1993b849 (11.11%)647 (10.94%)203 (15%)0.6941



Surgeries
 Before 1993a7935 (44.87%)6027 (45.00%)198 (42.11%)0.9652
 After 1993a8220 (25.32%)6215 (24.19%)207 (35.00%)0.5104
Hemodialysisb834 (4.94%)634 (6.35%)2000.5678

Chi-square test.

Fisher’s exact test.

Data on risk factors for HCV acquisition. Chi-square test. Fisher’s exact test. All 85 patients underwent clinical evaluations, 61 (81.33%) endoscopy, and 77 (90.59%) abdominal ultrasound. In the context of the clinical assessment, systemic hypertension (SAH) was the most frequent clinical feature in the evaluated patients, occurring in 28 (34.15%) of 82 patients who were evaluated for comorbidities. However, when comparing the data of patients with different genotypes, no significant differences were observed in the frequencies of any of the variables evaluated. Liver biopsies were performed in 66 (77.65%) patients. No differences were observed between genotypes neither in the distribution of necroinflammation scores (p = 0.8652) nor in the degree of liver fibrosis (p = 0.288) (Table 3).
Table 3

Clinical and histopathological data of the patients.

Clinical characteristicN (Total)TotalN (G1)G1N (G3)G3p-Value
Systemic arterial hypertensiona8228 (34.15%)6123 (37.70%)215 (23.81%)0.3727
Diabetes mellitus type 2b8213 (15.85%)619 (11.11%)214 (19.05%)0.4606
Hepatomegalyb8210 (12.20%)628 (12.90%)202 (10.00%)1.0000
Splenomegalya8214 (17.07%)628 (12.90%)2014 (30.00%)0.1541
Esophageal varicesb6112 (19.67%)468 (17.39%)154 (26.67%)0.4665
Hepatic steatosisa7716 (17.20%)5910 (16.95%)186 (33.33%)0.2429
Cirrhosisb8516 (17.98%)6412 (18.75%)214 (19.05%)0.9973



Necroinflammatory activityc
 A0665 (7.58%)513 (5.88%)152 (13.33%)0.8652
 A133 (50.00%)26 (50.98%)7 (46.67%)
 A223 (34.84%)18 (35.29%)5 (33.33%)
 A35 (7.58%)4 (7.85%)1 (6.67%)



Degree of fibrosisc
 F0664 (6.06%)512 (3.92%)152 (13.33%)0.2880
 F121 (31.82%)17 (33.33%)4 (26.67%)
 F219 (28.79%)18 (35.29%)2 (13.33%)
 F317 (25.75%)10 (19.61%)6 (40.00%)
 F45 (7.58%)4 (7.85%)1 (6.67%)

Chi-square test.

Fisher's exact test.

G Test.

Clinical and histopathological data of the patients. Chi-square test. Fisher's exact test. G Test. Additionally, the analysis of biochemical markers and VL showed no statistically significant differences between the observed values of patients infected with neither genotype 1 and nor genotype 3 (Table 4).
Table 4

Laboratory markers according to HCV genotype.

MarkerN (G1)G1N (G3)G3p-Value
AST (U/L)a6069.58 ± 40.802076.78 ± 70.700.9690
ALT (U/L)a6080.27 ± 54.602081.05 ± 68.840.7684
GGT (U/L)a59104.22 ± 94.001778.73 ± 77.170.1315
FA (U/L)b54118.57 ± 55.0019117.31 ± 64.960.9352
TB (mg/dL)a570.79 ± 0.50191.22 ± 1.350.1133
DB (mg/dL)a540.25 ± 0.18190.32 ± 0.290.3926
IB (mg/dL)a530.58 ± 0.37190.90 ± 1.150.1716
TP (g/dL)b547.59 ± 0.93177.20 ± 1.130.1616
Albumin (g/dl)b564.22 ± 0.65174.13 ± 0.520.5954
Globulin (g/dL)a543.43 ± 0.86163.26 ± 0.900.5291
PTA (%)b4789.71 ± 16.951582.58 ± 17.350.1633
Platelets (×103)b60202.20 ± 67.7321205.15 ± 98.520.8795
VL (log10)b575.59 ± 0.69195.31 ± 0.920.1740

ALT, alanine aminotransferase; AST, aspartate aminotransferase; GGT, gamma glutamyltransferase; FA, alkaline phosphatase; TB, total bilirubin; DB, direct bilirubin; IB, indirect bilirubin (IB); total proteins (TP); PTA, prothrombin time of activity.

Mann–Whitney test.

T test.

Laboratory markers according to HCV genotype. ALT, alanine aminotransferase; AST, aspartate aminotransferase; GGT, gamma glutamyltransferase; FA, alkaline phosphatase; TB, total bilirubin; DB, direct bilirubin; IB, indirect bilirubin (IB); total proteins (TP); PTA, prothrombin time of activity. Mann–Whitney test. T test.

Discussion

The genotypic distribution of HCV follows patterns related to both geographic and cultural factors.8, 9 In the present study, only genotypes 1 and 3 were detected, and there was a higher prevalence of genotype 1 (74.7%) than genotype 3 (25.3%). In fact, the studies performed by Petruzziello et al. and Blach et al. showed a predominance of these genotypes in Brazil, with genotype 1 presenting a prevalence of 64.8% and genotype 3 a prevalence of 30.2%. Additionally, these studies showed the occurrence, even at low frequency, of genotypes 2 (4.6%), 4 (0.2%), and 5 (0.1%) in the country, unlike what was found in this study. Although the distributions of HCV genotypes are well established in Brazil, they vary between regions and states. Even so, the predominance of genotype 1 over genotype 3 was also observed in several states, including Ceará, Pernambuco, Rio Grande do Sul,17, 18 Santa Catarina, Amapá, Paraná, Rio de Janeiro, Rondônia and São Paulo, in addition to states in the Midwest region.17, 20 In the state of Pará, prevalence rates of 65.7% and 23.3% had been previously observed in patients for genotypes 1 and 3, respectively; these prevalence rates are similar to those found in the present study. In addition, other studies also found a predominance of genotype 1 compared to genotype 3 in blood donors, and the frequencies of genotype 1 (from 89.1% to 93.1%) were higher than those found in patients in this study. Unlike the present study, genotype 2 was detected in studies conducted by Sawada et al. and Guimarães et al. at frequencies of 0.6 and 4.4, respectively, indicating the presence of these genotypes in the state. In the present study, a predominance of subtype 1b (61.1%) over 1a (20.4%) and 3a (18.5%) was demonstrated. These findings are not in agreement with the distribution of subgenotypes observed in Brazil, which are characterized by an equal prevalence between the 3 subtypes: 31%, 33.4%, and 30.2%, for subgenotype 1a, 1b and 3a, respectively. The predominance of subgenotype 1b has also been observed in the states of Amapá, Pará, Pernambuco and Roraima.16, 17, 21 There are also discrepancies between the HCV subgenotype distributions observed in this study and those found in other Brazilian states. In the states of Goiás, Paraná, Rio Grande do Sul, and São Paulo, there was a predominance of subgenotype 1a and a less remarkable representation of subgenotype 1b.17, 20 In addition, in the state of Rio de Janeiro and the Federal District, genotype 3a predominated over subgenotypes 1a and 1b.17, 20 In the analysis of the evaluated risk factors, there was a significant association between HCV genotype 1 chronic infection and sharing of glass syringes and/or needles, but the small number of patients with genotype 3 could have compromised power to show an association. Considering other risk factors, although Petruzziello et al. showed that illicit drug use was associated with genotype 3, this association was not found in the present study, in accordance with data reported by García-Montalvo and Galguera-Colorado. In terms of clinical characteristics, some studies have shown an association between genotype 3 and hepatic steatosis,25, 26, 27 which was not observed in the present study. One possible cause for this difference is the small sample size, especially those with viral genotype 3. Associations of HCV genotypes with other clinical characteristics are contradictory, according to data from the literature. Other authors showed that HCV genotype 3 infection, compared to other genotype infections, may be associated with more rapid progression of liver disease and greater chance of developing cirrhosis and hepatocellular carcinoma.25, 28, 29 In turn, it was shown that patients with this genotype presented a milder degree of fibrosis than did patients with other genotypes. Moreover, although a higher risk of hepatocellular carcinoma has been reported to be associated with genotype 1 compared to genotype 3, other studies did not find differences between degrees of fibrosis in patients with different HCV genotypes,32, 33 as in the present study. In general, data on the association between HCV genotypes and biochemical markers are also controversial. While some studies, such as the present study, have not found associations between any of the markers and viral genotypes,24, 33 others observed higher levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT) and alkaline phosphatase (AP) in patients with viral genotype 1 compared to those with genotype 3. In addition, some studies have shown that HCV genotype 1 was associated with a higher VL,13, 35 while others have shown that this parameter was independent of viral genotype, as found in the present study. Finally, the small sample size could be a limitation of the present study and highlights the need for continuous studies using larger sample sizes to draw conclusions on the association between HCV genotypes and progression of chronic hepatitis C.

Conclusion

This study demonstrates the predominance of HCV genotype 1 over genotype 3 in the state of Pará, especially in patients who reported sharing glass syringes and/or needles. This study also reinforces the existence of differences in the prevalence of viral genotypes and subgenotypes in different regions of Brazil, which has relevance, especially in terms of treatment. Another important aspect of this study is the comparison performed in terms of epidemiological, clinical and laboratory characteristics among patients with different genotypes, which showed that in the studied region, genotype had no significant interference in the clinical course of the disease, which warrants further investigations with larger sample sizes to confirm this preliminary evidence.

Conflicts of interest

The authors declare no conflicts of interest.

Funding

The study was supported by funding from the National Council for Scientific and Technological Development of Brazil (CNPQ # 480128/2013-8; #301869/2017-0) and the Federal University of Pará (PROPESP/PAPQ/2019).
  33 in total

1.  An algorithm for the grading of activity in chronic hepatitis C. The METAVIR Cooperative Study Group.

Authors:  P Bedossa; T Poynard
Journal:  Hepatology       Date:  1996-08       Impact factor: 17.425

Review 2.  Global prevalence and genotype distribution of hepatitis C virus infection in 2015: a modelling study.

Authors: 
Journal:  Lancet Gastroenterol Hepatol       Date:  2016-12-16

Review 3.  Consensus proposals for a unified system of nomenclature of hepatitis C virus genotypes.

Authors:  Peter Simmonds; Jens Bukh; Christophe Combet; Gilbert Deléage; Nobuyuki Enomoto; Stephen Feinstone; Phillippe Halfon; Geneviève Inchauspé; Carla Kuiken; Geert Maertens; Masashi Mizokami; Donald G Murphy; Hiroaki Okamoto; Jean-Michel Pawlotsky; François Penin; Erwin Sablon; Tadasu Shin-I; Lieven J Stuyver; Heinz-Jürgen Thiel; Sergei Viazov; Amy J Weiner; Anders Widell
Journal:  Hepatology       Date:  2005-10       Impact factor: 17.425

4.  Infection With Hepatitis C Virus Genotype 3 Is an Independent Risk Factor for End-Stage Liver Disease, Hepatocellular Carcinoma, and Liver-Related Death.

Authors:  Brian J McMahon; Dana Bruden; Lisa Townshend-Bulson; Brenna Simons; Phillip Spradling; Stephen Livingston; James Gove; Annette Hewitt; Julia Plotnik; Chriss Homan; Hannah Espera; Susan Negus; Mary Snowball; Youssef Barbour; Michael Bruce; Prabhu Gounder
Journal:  Clin Gastroenterol Hepatol       Date:  2016-10-17       Impact factor: 11.382

5.  Relationship between steatosis, inflammation, and fibrosis in chronic hepatitis C: a meta-analysis of individual patient data.

Authors:  Gioacchino Leandro; Alessandra Mangia; Jason Hui; Paolo Fabris; Laura Rubbia-Brandt; Guido Colloredo; Luigi E Adinolfi; Tarik Asselah; Julie R Jonsson; Antonina Smedile; Norah Terrault; Valerio Pazienza; Maria Teresa Giordani; Emiliano Giostra; Aurelio Sonzogni; Giuseppe Ruggiero; Patrick Marcellin; Elizabeth E Powell; Jacob George; Francesco Negro
Journal:  Gastroenterology       Date:  2006-05       Impact factor: 22.682

6.  Hepatitis C: evaluation of outcomes and georeferencing of cases in Santa Cruz do Sul, Brazil, between 2002 and 2015. A cross-sectional study.

Authors:  Lia Goncalves Possuelo; Daiane Perin; Patricia Faber Breunig; Daniel Felipe Schroeder; Manuela Filter Allgayer; Camilo Darsie; Marcelo Carneiro; Vanda Hermes; Jane Dagmar Pollo Renner
Journal:  Sao Paulo Med J       Date:  2017-12-18       Impact factor: 1.044

7.  Chronic hepatitis C infection: influence of the viral load, genotypes, and GBV-C/HGV coinfection on the severity of the disease in a Brazilian population.

Authors:  Leila M M B Pereira; Victorino Spinelli; Ricardo A Ximenes; Maria S Cavalcanti; Raul Melo; Norma Jucá; Masashi Mizokami; Ian G McFarlane
Journal:  J Med Virol       Date:  2002-05       Impact factor: 2.327

8.  Distribution of hepatitis C virus genotypes, risk factors and liver disease in patients from Yucatán, México.

Authors:  Beatriz María García-Montalvo; Pedro Luis Galguera-Colorado
Journal:  Ann Hepatol       Date:  2008 Oct-Dec       Impact factor: 2.400

9.  Genetic diversity of HCV in Brazil.

Authors:  Elisabeth Lampe; Lia Lewis-Ximenez; Marcia P Espírito-Santo; Nathália M Delvaux; Sergio A Pereira; Allan Peres-da-Silva; Regina M B Martins; Marcelo A Soares; André F Santos; Luãnna L Vidal; Fabiana N Germano; Ana Maria B de Martinez; Rossana Basso; João R Rebello Pinho; Fernanda M Malta; Michele Gomes-Gouvêa; Ricardo A Moliterno; Dennis A Bertolini; Mayara A T Fujishima; Gonzalo Bello
Journal:  Antivir Ther       Date:  2013-06-21

10.  Distribution pattern of HCV genotypes & its association with viral load.

Authors:  Anita Chakravarti; Gaurav Dogra; Vikas Verma; Amit Parkash Srivastava
Journal:  Indian J Med Res       Date:  2011-03       Impact factor: 2.375

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