Literature DB >> 31905224

HCV genotype profile in Brazil of mono-infected and HIV co-infected individuals: A survey representative of an entire country.

Mariana Fernanda Rodrigues Nutini1, James Hunter1, Leila Giron2, Ana Flavia Nacif Pinto Coelho Pires3, Igor Massaki Kohiyama4, Michelle Camargo1, Maria Cecilia Araripe Sucupira1, Adele Schwartz Benzaken5, Paulo Abrão Ferreira1, Hong-Ha M Truong6, Ricardo Sobhie Diaz1.   

Abstract

INTRODUCTION: To be eligible for government-provided treatment in Brazil, all HCV-infected individuals are required to be genotyped shortly after diagnosis. We describe the HCV genotype (G) profiles by geographic region, gender, age and HIV co-infection.
METHODS: We assessed 29,071 genotypes collected from HCV-infected individuals from March 2016 to March 2018 (Abbott Real-Time HCV Genotype). We randomly selected 12,336 samples for HIV co-infection testing using an EIA rapid test kit (TR DPP HIV 1/2 Bio-Manguinhos). Descriptive statistical analyses were performed using R.
RESULTS: Overall, HCV genotype distribution was 40.9% G1A, 30.2% G1B, 23.8% G3, 3.8% G2, 0.7% G4, 0.1% G5 and 0.6% with multiples genotypes. G1A prevalence was 44.4% among males and 35.8% among females. G1B and G2 were more prevalent in older individuals than G1A and G3. G3 was more prevalent in the South region. Of samples tested for HIV co-infection, 15% were HIV+. Median age among HCV/HIV co-infected individuals was 50 years old compared to 57 years old among mono-infected individuals. Distinct HCV genotype prevalence between HCV/HIV co-infected and HCV mono-infected individuals were respectively: G1A 60.6% versus 37.8%, G1B 15.2% versus 32.9%, and G3 18.9% versus 24.7%. G4 was detected among co-infected young men (3.5% versus 0.2% among mono-infected).
CONCLUSION: The increasing prevalence of G3, as inferred by the younger ages of the HCV-infected individuals, poses an extra challenge with regards to disease progression. Distinct genotypical profiles between HCV mono-infection and HCV/HIV co-infection warrant future research in order to better understand and help mitigate HCV chains of transmission.

Entities:  

Mesh:

Year:  2020        PMID: 31905224      PMCID: PMC6944355          DOI: 10.1371/journal.pone.0227082

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Brazil is a large “continental size” country divided into five macro-regions: North, Northeast, Central, Southeast, and South. Prevalence of HCV infection varies according to different regions among adults ≥18 years old, ranging from 3.2% in the North, to 1.9 in the Central and South, 1.8 in the Southeast, and 1.6 in Northeast. [1] HCV diagnostic and monitoring testing is fully paid for by the Brazilian Public Health system, as is treatment. All citizens 18 years and older are entitled to receive treatment. The Brazilian national protocol for treatment uses the combination sofosbuvir/ledipasvir (patients without previous treatment for G1), sofosbuvir/velpatasvir (patients without previous treatment for non-G1 strains) and glecaprevir/pibrentasvir + sofosbuvir (retreatment). http://conitec.gov.br/images/Relatorios/2018/Relatorio_PCDT_HepatiteC.pdf). HCV/HIV co-infection is of particular concern because liver fibrosis progression rate in this population is more rapid. [2, 3] HIV viremia is an independent predictor of liver fibrosis progression among these patients. [4] Contemporary characterization and classification of viral pathogens rely on the genetic profile of these agents according to genome sequencing followed by phylogenetic analysis. Therefore, viral pathogens are usually divided into genotypes or types, with genetic similarities ranging between 66 to 69%, sub-genotypes or subtypes with similarities ranging from 77 to 80%, and the so-called viral quasispecies with similarities ranging from 91 to 99%. [5] The emerging viral pathogen is thought to evolve genetically in the host forming the viruses quasispecies. By founder effect, new diverse viral pathogens may determine the genetic profile of the virus in a given population or geographic region. It is also conceivable that distinct viral types or subtypes, as distinct biologic entities, may cause distinct pathogenicity, transmissibility or treatment response to antivirals. As a classic example, disease progression, response to antiretroviral treatment and transmissibility are distinct between HIV-1 and HIV-2. [6] It has been demonstrated that HCV is divided into seven genotypes with several sub-genotypes including 1a, 1b, 1c, 2, 3, 4, 5, and 6. [7] Endemic genotypes include genotypes 1 and 4 in Central Africa, 2 in West Africa, 5 and 7 in Central/Southern Africa, and 3 and 6 in the South and East Asia. [8-12] Some subtypes in endemic regions have spread and become established in distinct regions of the globe by founder effect. The epidemic subtypes in the developed world have spread widely after the Second World War as a result of increases in transfusions of blood components, invasive medical and dental procedures, and intravenous drug use. [13-15] HCV genotype is important since the genetic barrier to resistance to direct antiviral agents (DAAs) is usually lower with genotype 1A compared to 1B. [16] For example, the natural polymorphisms Q80K present in some genotype 1A strains may also relate to decreased response to simeprevir in the presence of cirrhosis. [17, 18] Genotype 3 may harbor natural polymorphisms that may impair response to NS5A antagonists in the presence of cirrhosis. [19] Although pangenotypic DAAs have been developed, such as the combination of sofosbuvir and daclatasvir, sofosbuvir and velpatasvir, glecaprevir and pibrentasvir, treatment still needs to be adjusted among cirrhotic patients with genotype 3. As well, the duration of treatment using sofosbuvir and daclatasvir or use of ribavirin for sofosbuvir and velpatasvir needs modification. Besides guiding treatment decisions, evaluation of the molecular biology dynamics in a given region can provide clues about the expansion of a given strain, which conceivably may help inform the design of future vaccines. As of January 2016, all HCV genotype determination for the Brazilian Ministry of Health program is performed at a centralized molecular biology laboratory (Laboratorio Centro de Genomas, São Paulo, Brazil). Individuals with recent HCV diagnoses by serology have an HCV viral load as a confirmatory test and a genotype test, followed by a liver fibrosis evaluation. We present the first reported results of HCV genotype profile among individuals recently diagnosed with HCV in Brazil by geographic region, gender, age and HIV co-infection.

Methods

Samples from 29,071 HCV recently diagnosed individuals in Brazil collected from March 2016 to March 2018 were analyzed. To assess the prevalence of HCV/HIV co-infection, 12,336 samples were randomly selected for HIV testing. As recommended by the World Health Organization for HIV prevalence surveillance, one EIA test is sufficient if the HIV prevalence in the given population is greater than 10%. [20]

Ethical statement

This study was approved by the Ethical Committee of the Federal University of São Paulo (#1687/2016). This study was authorized by and performed in partnership with the Sexually Transmitted Infections/AIDS and Viral Hepatitis Department of the Brazilian Ministry of Health. After the initial HCV genotype determination, all data and biological samples from patients were fully anonymized prior to samples being transferred from the Laboratorio Centro de Genomas, São Paulo—Brazil to the Retrovirology Laboratory of the Federal University of Sao Paulo—Brazil for HIV testing and statistical analysis. The Ethical Committee granted this study a waiver of informed consent. Samples were tested for HCV genotype using the commercial Abbott kit according to the manufacturer's specifications (https://www.abbottmolecular.com/products/realtime-hcv-genotype-II.html). Briefly, the Abbott Real Time HCV genotype II is an in vitro RT-PCR assay using polymerase chain reaction for the determination of HCV genotypes in the plasma or serum of individuals with HCV infection with the lower detection limit of 500 I.U. of HCV RNA copies/mL. After an initial PCR amplification using primers designed for HCV conserved region, fluorescent oligonucleotide probes with specific labeling for HCV genetically diverse genomic regions of genotypes 1, 2, 3, 4, 5 and 6, and subtypes 1a and 1b were used for genotype assignment. When more than one distinct fluorescence was detected in a single plasma sample, dedicated software interpreted the result as infections with more than one HCV genotype. During the sample collection period, 3.2% of collected plasma samples did not yield a clear genotype assignment using the Abbott Real Time HCV genotype II platform, and these patients were excluded from further analysis. All samples submitted to HCV subtyping by the Ministry of Health were tested for HIV antibodies using the rapid HIV test kit TR DPP® HIV1/2, Bio-Manguinhos—Institute of Technology in Immunobiology, Industry, in accordance with the manufacturer's instructions. The test qualitatively determines the presence of the anti-HIV antibody by immunochromatography, is easy to perform, does not require laboratory infrastructure for its performance and can generate results within 30 minutes. [21] The data was organized and analyzed using the R Statistical Computing System on a Macintosh (version 3.5.1). [22] Initial data cleaning and graphics used the Tidyverse set of packages for R. [23] Descriptive statistics were performed with the DescTools package and group comparisons conducted by chi-squared analytic algorithms in the base R system and the gmodels package. [24, 25]

Availability of raw data and files

All relevant data, supporting information files and analytic programs are deposited in a repository entitled HCV Genotype Profile in Brazil hosted at Open Science Framework (https://osf.io/)

Results

There was a large representation of women in this survey, as 41.3% of the 29,071 individuals genotyped were female. The samples were also reasonably representative of each Brazilian Macro-region. We evaluated 8,012 individuals from the South region (27.6%), 15.767 from the Southeast region (54.2%), 1,128 from Center (3.9%), 2,796 from the Northeast (9.6%) and 1,368 from the North region (4,7%). As seen in Table 1, the current overall prevalence of genotype profile was highest for G1A at 40.9%, followed by G1B at 30.2%, and G3 at 23.8%, with the prevalence of other genotypes at less than 4%.
Table 1

Demographic data of HCV mono and HIV co-infected individuals describing HCV genotype according to gender and age.

Overall
Genotypes
G1 AG1 BG2G3G4G5Multiple
(%)40,930,23,823,80,70,10,6
median Age (55)52606156456356
Male44,426,13,524,20,90,10,7
median Age Male (54)52596055447156
Female35,836,04,123,10,30,20,6
median Age Female (57)53606157545654
HCV Mono-infected
(%)37,832,93,724,70,20,10,6
median Age (57)54616357566358
Male40,929,13,625,30,20,10,8
median Age Male (56)53606256507158
Female33,538,03,923,90,20,20,5
median Age Female (58)55626358635663
HIV co-infected
15,0% prevalence
(%)60,615,22,218,92,50,00,6
median Age (50)495154513850
Male61,713,72,318,13,50,00,7
median Age Male (49)495154503852
Female57,619,11,920,90,00,00,4
median Age Female (50)505254,55245
We explored whether median age correlated with the expansion dynamics of the epidemic to assess the hypothesis that the lower the age, the greater the expansion of a particular genotype or specific status (gender, co-infection, etc.). The overall mean age for men was 54.1 years old, which was significantly lower than 56.1 years old for women (Welch’s Two Sample t-test, t = 13.367, df = 23251, p < 10−6). The median age for men was 54 and for women was 57. We also grouped the subtypes into those with higher and lower median ages. Among these, the mean age was significantly lower among individuals infected with G1A, G3 and G4 for both genders (p < 10−6), as shown in Table 2. When considering just G4, the median age for men was 44, which was significantly lower than 54 for women (Welch’s Two Sample t-test, t = 2.750, df = 38.5, p = 0.0045).
Table 2

Difference in mean and median ages by gender according to HCV genotype groupings.

GenotypeMalesFemales
MeanMedianMeanMedian
G1A, G3 & G452.475353.9755
G1B, G2, G5 & Multiples Genotypes57.915959.1261
t-test value-28.284-21.432
As shown in Table 3, G1A was more prevalent in the South, Southeast and Central regions, while G1B was more prevalent in the Northern regions (p < 10−6). Of note, G3 was more prevalent than G1B in the South region (Chi-squared test, χ2 = 4059.6, df = 1, p < 10−6), as this genotype has a similar prevalence as G1 among women in this region (Table 3).
Table 3

HCV genotype prevalence among the total number of individuals, HCV mono-infected individuals and HCV/HIV co-infected individuals according to gender and Brazilian geographic regions.

Overall       
 Genotypes     
 G1 AG1 BG2G3G4G5Multiple
Total40.930.23.823.80.70.10.6
(%) males/females44.4/35.826.1/36.03.5/4.124.2/23.10.9/0.30.1/0.20.7/0.6
Regions       
North26.244.75.422.80.10.10.8
Northeast31.642.32.822.40.400.5
Central50.725.72.319.90.700.7
Southeast42.133.5319.710.10.5
South42.717.75.5330.200.9
HCV Mono-infected37.832.93.7224.70.190.090.6
(%) males/females40.9/33.529.1/38.03.6/3.925.3/23.90.2/0.20.1/0.20.8/0.5
Regions       
North24.645.66.322.800.20.5
Northeast30.443.12.7230.200.6
Central49.125.42.222.60.400.2
Southeast38.736.5320.70.30.20.7
South39.819.15.534.9000.8
HIV co-infected60.615.22.1618.92.5400.59
(%) males/females61.7/57.613.7/19.12.3/1.918.1/20.93.5/000.7/0.4
Regions       
North4820028004
Northeast46.4344.112.42.101
Central67.912.5017.51.800
Southeast61.317.21.715.24.100.5
South61.492.925.90.200.6
Prevalence of HCV/HIV co-infection was 15.0%. HCV/HIV co-infection prevalence was higher among men compared to women (18.1% versus 10.4%, Chi-squared test, χ2 = 140.3, df = 1, p < 10−6), and the mean age of HCV/HIV co-infected individuals was lower compared to HCV mono-infected persons (Welch’s Two Sample t-test, t = 28.1, df = 3069, p < 10−6 (Table 3). After detection of HIV seropositivity, we cross-checked the Brazilian National Database to confirm whether these patients had been reported to the system. HIV reporting is required by the Brazilian Ministry of Health in order to provide monitoring testing and antiretroviral treatment to the HIV-infected individuals. According to the national data base, 9% of these individuals had not been previously diagnosed with HIV infection. HCV/HIV co-infection prevalence varied by geographic regions, ranging from 19.1% in the South, to 15.6% in the Southeast, 7.8% in the Northeast, 10.9% in the Central region, and 4.3% in the North (Chi-squared test, χ2 = 153.6, df = 4, p < 10−6). As seen in Table 3, HCV/HIV co-infection was more prevalent among individuals with G1A: 60.6% among co-infected and 37.8% among mono-infected (One Sample Proportions test, χ2 = 1584.4, df = 1, p < 10−6). It was also lower for individuals with G1B: 15.2% among co-infected compared to 32.9% of mono infected (χ2 = 1584.4, df = 1, p < 10−6). G3 was less prevalent among HCV/HIV co-infected individuals (18.9%) than among mono-infected persons (24.7%, χ2 = 1706.1, df = 1, p < 10−6) but was still higher than G1B (15.2%) and G2 (2.2%). The overall median age in this survey was 55 years old and was lower among HCV/HIV co-infected individuals (50 years old) than among HCV mono-infected individuals (57 years old). The comparison of means by a Welch’s Two-Sample t-test produced a t-value of 28.147 on 3069 df with a p-value < 10−6. The median age among men was lower than women in HCV mono-infected individuals, but was similar between genders among HCV/HIV co-infected individuals (Table 2). Also, the median age for individuals with G4 was significantly lower among HCV/HIV co-infected men (38 years old) compared to HCV mono-infected women (50 years old) (Kruskal-Wallis rank sum test, χ2 = 7.7, df = 1, p = 0.006). There were no HCV/HIV co-infected females with G4 identified in the study.

Discussion

The prevalence of distinct HCV genotypes in Brazil reveals an interesting dynamic suggesting establishment and expansion of strains considered in the recent past as minority strains in the country. When analyzing the HCV prevalence by region, gender, age and HIV co-infection, one can speculate about trends in the HCV genotype profile, probably as the result of multiple founder effect phenomena. For example, in contrast to what has been previously described in Brazil [26, 27], G1B was not the dominant genotype detected. Prevalence of G1A was higher overall, with an increasing prevalence of G3 based on the younger ages of individuals with G3 compared to those with G1. Furthermore, the median age among individuals with G1A and G3 was lower than G1B and G2, suggesting that G1A and G3 are expanding in the Brazilian population. Interestingly, there was a higher prevalence of G1A and G3 in the southern regions, such as the Central, Southeast and South regions, compared to a higher prevalence of G1B in the northern regions. Based on these results, we speculate that the HCV epidemic is expanding in the Southern regions of the country, and more attention should be given to the demographic characteristics associated with each genotype profile observed in order to interrupt transmission chains. Of particular note was the high prevalence of G3 observed among HCV-infected women in the South region of Brazil. The current data also corroborates a prior study that used a phylogenetic model to infer the timing for the introduction of specific HCV genotypes in Brazil [28]. According to the Time to Most Recent Common Ancestor (TMRCA) as inferred by Bayesian analysis, G1B entered in Brazil around the year 1923 (1844–1967), whereas G3 entered in 1967 (1955–1980), and G1A in 1979 (1967–1987). More interestingly, the inferred Growth rate (r) was 0.26 for G1B, 0.32 for G3 and 0.4 for G1A. These r values explain the finding of G1A becoming more prevalent than G1B and suggests that soon, the prevalence of G1B will also be overtaken by G3. It is also conceivable that the once rare HCV G4 is growing extensively among HIV co-infected young men as a result of the founder effect. This result points to the need for a better understanding of the demographic characteristics associated with the mode of HCV transmission, such as among men that have sex with men, in order to interrupt potential chains of transmission. We also found a high prevalence of HCV/HIV co-infection among recently diagnosed HCV-infected individuals (15%), and HCV/HIV co-infection prevalence higher among men (18.1%) as compared to women (10.4%). The distribution of HIV cases by sex has changed from 1 woman to 28 men in the mid-1980’s to 1 woman to 1.5 men in 2017. The increased incidence among women emphasizes that they are becoming more vulnerable to HIV infection in Brazil. [29] Nonetheless, HCV/HIV co-infection is more prevalent among men in this current survey, which concurs with internationally observed trends of high HCV incidence among HIV-infected man who have sex with men. [30, 31] We recognize that due to the nature of the current study, risk factors for HIV acquisition were not collected as part of this survey, thereby precluding more definite conclusions. We also observed that the median age among HCV/HIV co-infected individuals was lower than among HCV mono-infected individuals, which also suggests a growing epidemic among HIV-infected individuals. Therefore, efforts should target better HCV prevention strategies among the HIV-infected population. In addition, prevalence of HCV/HIV co-infection was higher in the southern regions compared to the North, suggesting a higher vulnerability to HCV infection in the South. Interestingly, Southern regions of Brazil are wealthier and more developed than the North. The importance of the genetic diversity of a viral pathogen relies on the fact that genetically distinct strains may be considered as distinct biologic entities. For instance, longitudinal studies have demonstrated that G3 may significantly increase the HCV pathogenicity with respect to rates of steatosis, fibrosis, and hepatocellular carcinoma. It has been demonstrated that in comparison to other HCV genotypes, G3 may be associated to higher lipid levels and hepatic steatosis. [32] A higher rate of liver fibrosis over time is also associated to G3, with a 50% increased risk in G3-infected individuals compared to other genotypes. [33] It has also been described that individuals infected with G3 may have a 31% higher risk of developing cirrhosis and 80% higher risk of developing hepatocellular carcinoma in comparison to individuals with G1. [34] In this sense, the expansion of G3 HCV in certain areas of Brazil may constitute a worrisome feature of the HCV epidemic. Although the treatment response on interferon-based regimens is better among individuals with G3 as compared to other genotypes, treatment with DAAs still poses an additional challenge. [35, 36] In general, G3 is not susceptible to first-generation HCV protease inhibitors such as telaprevir [37] Furthermore, when NS5A inhibitors are used, it has been demonstrated that polymorphisms previously present at the NS5A genomic region would impair the virologic response to treatment among cirrhotic patients. [38] With regards to genotype 1, it has also been demonstrated that the genetic barrier to resistance to HCV protease inhibitors is lower for G1A compared to G1B, leading to a faster virologic failure among individuals with G1A. [39] Therefore, an increase in the prevalence of G1A and G3 poses an additional challenge for treatment with some DAAs. We recognize that the prevalence of HCV/HIV co-infection may have been overestimated if HCV diagnostic testing was requested more frequently by individuals who had been previously diagnosed with HIV. We also recognize that the lack of data on risk factors for HCV and HIV acquisition precludes more definite conclusions and speculations about the HCV genotype profiles described here. Nonetheless, this is the largest report of the distribution of HCV genotype in Brazil and we believe our study sample was representative of the entire country. Our study showed an unprecedent growth of G1A and G3 in certain Brazilian regions and a very high prevalence of HCV/HIV co-infection among individuals recently diagnosed with HCV. 10 Oct 2019 PONE-D-19-24177 HCV genotype profile in Brazil of mono-infected and HIV co-infected individuals: a survey representative of an entire country PLOS ONE Dear Dr. Diaz, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. We would appreciate receiving your revised manuscript by Nov 24 2019 11:59PM. When you are ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. To enhance the reproducibility of your results, we recommend that if applicable you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. 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Please explain further how a real-time PCR assay can test for multiple HCV genotypes in a single sample. How many samples in this study were genotyped using Sanger sequencing? What was the lower limit of detection of the real-time PCR assay? Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: I Don't Know Reviewer #2: I Don't Know ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: No Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: HCV genotype profile in Brazil of mono-infected and HIV co-infected individuals: a survey representative of an entire country The manuscript has valuable information and is a very good representation of the genotypes distribution throughout Brazil. 1) The text could benefit from English language editing, as some of the sentences' meaning may easily be misinterpreted. A few examples include: line 16 HCV genotype from many newly diagnosed Brazilians were determined. Line 37 Median age of HIV co-infected was 50 years compared to 57 years among mono-infected individuals (71.1% males compared to 58.7%). Distinct prevalence between co-infected and mono-infected individuals were respectively: … Line 240 We also found a high prevalence of HIV co-infection among recently diagnosed HCV-infected individuals (15%), as the co-infection prevalence was higher among men as compared to women. 2) It appears that tables 2 and 3 are mislabeled. Please label accordingly and discuss the tables in order of appearance in the text. As is Table 3 is discussed before Table 2. 3) For the table discussing the Median ages by Gender for Groupings of subtypes (currently labeled as 3), please explain in the text the rationale behind the chosen grouping. It is not clear if the data applies to all cases or to the co-infected cases? Reviewer #2: HCV genotype profile in Brazil...is an interesting paper. However I have some suggestions and critics of the manuscript. There are some topics on the introduction that could be edited. In addition, the results and discussion are limited because of absence of risk factor analysis. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: Yes: Maria-Cristina Navas [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. Submitted filename: PONE-D-19-24177_reviewer (1).pdf Click here for additional data file. 30 Oct 2019 October 30th, 2019 Dear Dr. Jason Blackard Academic Editor PLOS ONE We have performed a number of changes to the manuscript PONE-D-19-24177 “HCV genotype profile in Brazil of mono-infected and HIV co-infected individuals: a survey representative of an entire country” to fully address the Reviewer’s and Editor suggestions and concerns. We have included a detailed point-by-point response to the reviewer’s and Editor’s concerns describing the corresponding changes in the manuscript. Please find details bellow, with the responses marked in yellow here. The Editor requires that: “In ethics statement in the manuscript and in the online submission form, please provide additional information about the patient records/samples used in your retrospective study. Specifically, please ensure that you have discussed whether all data/samples were fully anonymized before you accessed them and/or whether the IRB or ethics committee waived the requirement for informed consent. If patients provided informed written consent to have data/samples from their medical records used in research, please include this information.' Response to Editor: We therefore have included the following sentences in the Methods section, pages 5-6, lines 116-23 as follows (insertions in yellow here): Ethical Statement: This study was approved by the Ethical Committee of the Federal University of São Paulo (#1687/2016). This study was authorized by and performed in partnership with the Sexually Transmitted Infections/AIDS and Viral Hepatitis Department of the Brazilian Ministry of Health. After the initial HCV genotype determination, all data and biological samples from patients were fully anonymized prior to samples being transferred from the Laboratorio Centro de Genomas, São Paulo - Brazil to the Retrovirology Laboratory of the Federal University of Sao Paulo - Brazil for HIV testing and statistical analysis. The Ethical Committee granted this study a waiver of informed consent. Editor mentions that “We note that you have stated that you will provide repository information for your data at acceptance. Response to Editor: This is right, and we included this information on page 7, lines 151-3 (Methods section) as follows: Availability of raw data and files: All relevant data, supporting information files and analytic programs are deposited in a repository entitled HCV Genotype Profile in Brazil hosted at Open Science Framework (https://osf.io/) The study rationale is strong. However, there are word choice and grammatical issues that require careful proofreading by a native English speaker or a professional editing service. Response to Editor: The text of the manuscript was carefully revised by two native English speakers from USA that are co-authors in this work, Drs. James Hunter and Hong-Ha M. Truong. We understand that the English was much improved in this version of manuscript. Editor asks to “Please explain further how a real-time PCR assay can test for multiple HCV genotypes in a single sample.” Response to Editor: In order to clarify this issue, we edited the following sentences in the Methods section, page 6, lines 130-5, as follows: “After an initial PCR amplification using primers designed for HCV conserved region, fluorescent oligonucleotide probes with specific labeling for HCV genetically diverse genomic regions of genotypes 1, 2, 3, 4, 5 and 6, and subtypes 1a and 1b were used for genotype assignment. When more than one distinct fluorescence was detected in a single plasma sample, dedicated software interpreted the result as infections with more than one HCV genotype.” Editor enquires: “How many samples in this study were genotyped using Sanger sequencing?” Response to Editor: 3.2% of samples did not yield a clear genotype assignment using the Abbott Real Time HCV genotype II. As a matter of fact, we have not included in the analysis the HCV genotype results from Sanger sequencing, and we recognize that this information was missing in the manuscript. We are including the information about percentage of samples that have not yielded a clear genotype assignment in lines 135-8 of the methods section as follows. “During the sample collection period, 3.2% of collected plasma samples did not yield a clear genotype assignment using the Abbott Real Time HCV genotype II platform, and these patients were excluded from further analysis.” Also, we removed the sentence mentioning the Sanger sequencing (and former reference 21) as an alternative to obtain genotype results since we are not presenting these in the current manuscript. Editor enquires: “What was the lower limit of detection of the real-time PCR assay?” Response to Editor: We included this information on lines 129-130 of manuscript in the following sentence (insertion in yellow): “Briefly, the Abbott Real Time HCV genotype II is an in vitro RT-PCR assay using the polymerase chain reaction for the determination of HCV genotypes in the plasma or serum of individuals infected with this virus with the lower detection limit of 500 I.U. of HCV RNA copies/mL.” Reviewer #1: 1) The text could benefit from English language editing, as some of the sentences' meaning may easily be misinterpreted. Reviewer #1 suggested some English language editing as follows: line 16 HCV genotype from many newly diagnosed Brazilians were determined. We edited these sentences as follows (lines 16-7): “We describe the HCV genotype profile of nearly 30,000 individuals in Brazil with recent HCV diagnosis.” Line 37 Median age of HIV co-infected was 50 years compared to 57 years among mono-infected individuals (71.1% males compared to 58.7%). Distinct prevalence between co-infected and mono-infected individuals were respectively: … We edited these sentences as follows (lines 38-41): Median age among HCV/HIV co-infected individuals was 50 years old compared to 57 years old among mono-infected individuals. Distinct HCV genotype prevalence between HCV/HIV co-infected and HCV mono-infected individuals were respectively: Line 240 We also found a high prevalence of HIV co-infection among recently diagnosed HCV-infected individuals (15%), as the co-infection prevalence was higher among men as compared to women. We edited this sentence as follows (lines 262-4): “We also found a high prevalence of HCV/HIV co-infection among recently diagnosed HCV-infected individuals (15%), and HCV/HIV co-infection prevalence higher among men (18.1%) as compared to women (10.4%).” 2) It appears that tables 2 and 3 are mislabeled. Please label accordingly and discuss the tables in order of appearance in the text. As is Table 3 is discussed before Table 2. We changed numbering of Tables 2 and 3 in order of appearance in the text and improved the legend for these 2 Tables as follows: Table 2 (former Table 3): Difference in mean and median ages by gender according to HCV genotype groupings. Table 3 (former Table 2). HCV genotype prevalence among the total number of individuals, HCV mono-infected individuals and HCV/HIV co-infected individuals according to gender and Brazilian geographic regions. 3) Reviewer 2 mentions that “For the table discussing the Median ages by Gender for Groupings of subtypes (currently labeled as 3), please explain in the text the rationale behind the chosen grouping. It is not clear if the data applies to all cases or to the co-infected cases?” Response to reviewer 2: In order to clarify that, we included the following sentence on page 8, lines 175- 8 as follows: “We also grouped the subtypes into those with higher and lower median ages. Among these, the mean age was significantly lower among individuals infected with G1A, G3 and G4 for both genders (p < 10-6), as shown in Table 2.” Reviewer 2 observes that “There are some topics on the introduction that could be edited.”, and we believe we have done it. Reviewer 2 observes that “the results and discussion are limited because of absence of risk factor analysis.” We agree with the reviewer, and although available, gathering this specific information would jeopardize the anonymous nature of the study, raising ethical concerns. We therefore mention that as a limitation of the study, and included the following sentence at lines 307-309 of the Discussion: “We also recognize that the lack of data on risk factors for HCV and HIV acquisition precludes more definite conclusions and speculations about the HCV genotype profiles described here.” We sincerely believe that our manuscript is now improved as a result of recommendations. We look forward to hearing back from you regarding our revised manuscript. Ricardo Sobhie Diaz, M.D., PhD. Retrovirology Laboratory Federal University of Sao Paulo, Infectious Diseases Department R. Pedro de Toledo, 781, Sao Paulo, SP - 04039 - Brazil Phone: (55-110) 9109-0445/ (55-11) 5084-4262 Email: rsdiaz@catg.com.br 12 Dec 2019 HCV genotype profile in Brazil of mono-infected and HIV co-infected individuals: a survey representative of an entire country PONE-D-19-24177R1 Dear Dr. Diaz, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Jason Blackard, PhD Academic Editor PLOS ONE Additional Editor Comments (optional): None Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: N/A ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: PONE-D-19-24177R1 HCV genotype profile in Brazil of mono-infected and HIV co-infected individuals: a survey representative of an entire country. The manuscript is valuable and has good representation of the genotypes distribution throughout Brazil. The reviewer’s comments have been addressed carefully and thoroughly. The manuscript now appears ready for publication Reviewer #2: (No Response) ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No 26 Dec 2019 PONE-D-19-24177R1 HCV genotype profile in Brazil of mono-infected and HIV co-infected individuals: a survey representative of an entire country Dear Dr. Diaz: I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. For any other questions or concerns, please email plosone@plos.org. Thank you for submitting your work to PLOS ONE. With kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Jason Blackard Academic Editor PLOS ONE
  34 in total

1.  Evidence for high genetic diversity and long-term endemicity of hepatitis C virus genotypes 1 and 2 in West Africa.

Authors:  D Jeannel; C Fretz; Y Traore; N Kohdjo; A Bigot; E Pê Gamy; G Jourdan; K Kourouma; G Maertens; F Fumoux; J J Fournel; L Stuyver
Journal:  J Med Virol       Date:  1998-06       Impact factor: 2.327

2.  The influence of human immunodeficiency virus coinfection on chronic hepatitis C in injection drug users: a long-term retrospective cohort study.

Authors:  V Di Martino; P Rufat; N Boyer; P Renard; F Degos; M Martinot-Peignoux; S Matheron; V Le Moing; F Vachon; C Degott; D Valla; P Marcellin
Journal:  Hepatology       Date:  2001-12       Impact factor: 17.425

Review 3.  Global epidemiology and genotype distribution of the hepatitis C virus infection.

Authors:  Erin Gower; Chris Estes; Sarah Blach; Kathryn Razavi-Shearer; Homie Razavi
Journal:  J Hepatol       Date:  2014-07-30       Impact factor: 25.083

4.  A multicenter performance evaluation of the DPP(®) HIV-1/2 assay for the detection of HIV antibodies in various HIV testing algorithms.

Authors:  Jillian M Cappello; Angelo Gunasekera; Dhammika Gunasekera; Javan Esfandiari; Thomas Ippolito
Journal:  J Clin Virol       Date:  2013-12       Impact factor: 3.168

5.  Reduced rate of disease development after HIV-2 infection as compared to HIV-1.

Authors:  R Marlink; P Kanki; I Thior; K Travers; G Eisen; T Siby; I Traore; C C Hsieh; M C Dia; E H Gueye
Journal:  Science       Date:  1994-09-09       Impact factor: 47.728

6.  Frequent recovery and broad genotype 2 diversity characterize hepatitis C virus infection in Ghana, West Africa.

Authors:  Daniel Candotti; Jillian Temple; Francis Sarkodie; Jean-Pierre Allain
Journal:  J Virol       Date:  2003-07       Impact factor: 5.103

7.  Investigating the endemic transmission of the hepatitis C virus.

Authors:  Oliver G Pybus; Peter V Markov; Anna Wu; Andrew J Tatem
Journal:  Int J Parasitol       Date:  2007-04-30       Impact factor: 3.981

8.  All-oral 12-week treatment with daclatasvir plus sofosbuvir in patients with hepatitis C virus genotype 3 infection: ALLY-3 phase III study.

Authors:  David R Nelson; James N Cooper; Jacob P Lalezari; Eric Lawitz; Paul J Pockros; Norman Gitlin; Bradley F Freilich; Ziad H Younes; William Harlan; Reem Ghalib; Godson Oguchi; Paul J Thuluvath; Grisell Ortiz-Lasanta; Mordechai Rabinovitz; David Bernstein; Michael Bennett; Trevor Hawkins; Natarajan Ravendhran; Aasim M Sheikh; Peter Varunok; Kris V Kowdley; Delphine Hennicken; Fiona McPhee; Khurram Rana; Eric A Hughes
Journal:  Hepatology       Date:  2015-03-10       Impact factor: 17.425

9.  Phylogenetic analysis of hepatitis C virus isolates indicates a unique pattern of endemic infection in Cameroon.

Authors:  Jean Ndjomou; Oliver G Pybus; Bertfried Matz
Journal:  J Gen Virol       Date:  2003-09       Impact factor: 3.891

10.  Simeprevir plus sofosbuvir (12 and 8 weeks) in hepatitis C virus genotype 1-infected patients without cirrhosis: OPTIMIST-1, a phase 3, randomized study.

Authors:  Paul Kwo; Norman Gitlin; Ronald Nahass; David Bernstein; Kyle Etzkorn; Sergio Rojter; Eugene Schiff; Mitchell Davis; Peter Ruane; Ziad Younes; Ronald Kalmeijer; Rekha Sinha; Monika Peeters; Oliver Lenz; Bart Fevery; Guy De La Rosa; Jane Scott; James Witek
Journal:  Hepatology       Date:  2016-03-22       Impact factor: 17.425

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  3 in total

1.  A time series analysis of detection and mortality of hepatitis C in Brazil, 2008-2018.

Authors:  Rodrigo José Videres Cordeiro de Brito; Leonardo Feitosa da Silva; Márcio Bezerra Santos; Patrícia Muniz Mendes Freire de Moura; Carlos Dornels Freire de Souza; Rodrigo Feliciano do Carmo
Journal:  BMC Infect Dis       Date:  2022-01-24       Impact factor: 3.090

2.  Time trends and geographic distribution of hepatocellular carcinoma in Brazil: An ecological study.

Authors:  Elizabeth Balbi; Jessica Pronestino de Lima Moreira; Ronir Raggio Luiz; Renata de Mello Perez; Heitor Siffert Pereira de Souza
Journal:  Medicine (Baltimore)       Date:  2022-09-23       Impact factor: 1.817

3.  A novel substitution in NS5A enhances the resistance of hepatitis C virus genotype 3 to daclatasvir.

Authors:  Guilherme Rodrigues Fernandes Campos; Joseph Ward; Shucheng Chen; Cintia Bittar; João Paulo Vilela Rodrigues; Ana de Lourdes Candolo Martinelli; Fernanda Fernandes Souza; Leonardo Régis Leira Pereira; Paula Rahal; Mark Harris
Journal:  J Gen Virol       Date:  2020-11-03       Impact factor: 3.891

  3 in total

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