PROFILE OF HCV GENOTYPES AND HIV-SUBTYPES AMONG HIV-COINFECTED PATIENTS IN SOUTHERN BRAZIL

ABSTRACT BACKGROUND: Hepatitis B and C virus (HBV and HCV) are the two most common infections among human immunodeficiency virus (HIV)-infected patients. OBJECTIVE: To identify the frequency of HIV subtypes and HCV genotypes in HIV-coinfected patients. METHODS: A cross-sectional and retrospective study was carried out into two reference centers in Southern Brazil between January 1, 2002 and June 30, 2016. The Abbott Real Time HCV Genotype II system was used for routine diagnostics to determine the HCV genotype based on dual-target real-time PCR. Proviral HIV-1 RNA was extracted from serum samples and fragments of the pol gene were generated by PCR. The HIV-1 PT and RT gene sequences were submitted to Maximum Likelihood Phylogenetic analysis by collecting reference sequences from the HIV-1 group M subtype of the Los Alamos database. RESULTS: During the study period, 3340 patients with HIV were diagnosed at both referral centers, of which 4.97% (166/3340) had HBV and/or HCV coinfection. Seroprevalence of HIV-HBV, HIV-HCV and HIV-HBV-HCV was 37.4%, 58.4%, and 4.2%, respectively. HIV-HCV-coinfected patients had a lower median nadir CD4+ T-cell count when compared to HIV-HBV-coinfected patients (P=0.01). Among those coinfected with HCV, HCV-1 (HCV-1) and HCV-3 (HCV-3) genotypes were the most prevalent, being detected in 73.8% and 21.4%, respectively. Among the HCV-1 coinfected patients, 79.3% and 20.1% had subtypes 1a and 1b, respectively. HIV subtype B was the most prevalent in HIV-coinfected patients. There was no significant difference regarding nadir CD4+ T-cell count and HIV viral load when compared to coinfected with HCV-1 with HCV-3, as well as those co-infected with HCV-1a with HCV-1b. CONCLUSION: In the present study, a higher frequency of subtype B of HIV and HCV-1 were found in HIV-coinfected patients. Further larger-scale and long-term studies are needed to better understand the effect of HCV genotypes in HIV-infected patients.

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THE INFLUENCE OF HIV-1 SUBTYPES C, CRF31_BC AND B ON DISEASE PROGRESSION AND INITIAL VIROLOGIC RESPONSE TO HAART IN A SOUTHERN BRAZILIAN COHORT

Revista do Instituto de Medicina Tropical de São Paulo ◽

10.1590/s0036-46652014000300005 ◽

2014 ◽

Vol 56 (3) ◽

pp. 205-211 ◽

Cited By ~ 5

Author(s):

Cynara Carvalho Nunes ◽

Maria Cristina Cotta Matte ◽

Claudia Fontoura Dias ◽

Leonardo Augusto Luvison Araújo ◽

Luciano Santos Pinto Guimarães ◽

...

Keyword(s):

Viral Load ◽

T Cell ◽

Cell Count ◽

Viral Suppression ◽

Cd4 T Cell ◽

Lower Viral Load ◽

Subtype B ◽

The Impact ◽

Hiv 1 ◽

Cd4 T Cell Count

Background: Although most HIV-1 infections in Brazil are due to subtype B, Southern Brazil has a high prevalence of subtype C and recombinant forms, such as CRF31_BC. This study assessed the impact of viral diversity on clinical progression in a cohort of newly diagnosed HIV-positive patients. Methods: From July/2004 to December/2005, 135 HIV-infected patients were recruited. The partial pol region was subtyped by phylogeny. A generalized estimating equation (GEE) model was used to examine the relationship between viral subtype, CD4+ T cell count and viral load levels before antiretroviral therapy. Hazard ratio (Cox regression) was used to evaluate factors associated with viral suppression (viral load < 50 copies/mL at six months). Results: Main HIV-1 subtypes included B (29.4%), C (28.2%), and CRF31_BC (23.5%). Subtypes B and C showed a similar trend in CD4+ T cell decline. Comparison of non-B (C and CRF31_BC) and B subtypes revealed no significant difference in the proportion of patients with viral suppression at six months (week 24). Higher CD4+ T cell count and lower viral load were independently associated with viral suppression. Conclusion: No significant differences were found between subtypes; however, lower viral load and higher CD4+ T cell count before therapy were associated with better response.

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CD4+ T cell count, HIV-1 viral loads and demographic variables of newly identified patients with HIV infection in Wuhan, China

Journal of Medical Virology ◽

10.1002/jmv.23627 ◽

2013 ◽

Vol 85 (10) ◽

pp. 1687-1691 ◽

Cited By ~ 5

Author(s):

Man-Qing Liu ◽

Li Tang ◽

Wen-Hua Kong ◽

Ze-Rong Zhu ◽

Jin-Song Peng ◽

...

Keyword(s):

T Cell ◽

Hiv Infection ◽

Cell Count ◽

Demographic Variables ◽

Cd4 T Cell ◽

Viral Loads ◽

Hiv 1 ◽

Cd4 T Cell Count

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T-cell homeostasis alteration in HIV-1 infected subjects with low CD4 T-cell count despite undetectable virus load during HAART

AIDS ◽

10.1097/01.aids.0000247588.69438.fd ◽

2006 ◽

Vol 20 (16) ◽

pp. 2033-2041 ◽

Cited By ~ 72

Author(s):

Marco Marziali ◽

Wladimiro De Santis ◽

Rossella Carello ◽

Wilma Leti ◽

Antonella Esposito ◽

...

Keyword(s):

T Cell ◽

Cell Count ◽

Cd4 T Cell ◽

T Cell Homeostasis ◽

Cell Homeostasis ◽

Virus Load ◽

Hiv 1 ◽

Cd4 T Cell Count

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EBV AND HHV-6 CIRCULATING SUBTYPES IN PEOPLE LIVING WITH HIV IN BURKINA FASO, IMPACT ON CD4 T CELL COUNT AND HIV VIRAL LOAD

Mediterranean Journal of Hematology and Infectious Diseases ◽

10.4084/mjhid.2017.049 ◽

2017 ◽

Vol 9 (1) ◽

pp. 2017049 ◽

Cited By ~ 2

Author(s):

Lassina TRAORE ◽

Ouéogo NIKIEMA ◽

Abdoul Karim OUATTARA ◽

Tegwindé Rébéca COMPAORE ◽

Serge Théophile SOUBEIGA ◽

...

Keyword(s):

Viral Load ◽

T Cell ◽

Cell Count ◽

Cd4 Count ◽

Cd4 T Cell ◽

People Living With Hiv ◽

Study Population ◽

Living With Hiv ◽

Hiv 1 ◽

Cd4 T Cell Count

Epstein Barr Virus (EBV) and Human Herpes Virus 6 (HHV-6) are responsible for severe diseases, particularly in immunocompromised persons. There are poor data on the infection with these opportunistic viruses in Burkina Faso.The purpose of this study is to characterize EBV and HHV-6 subtypes and to assess their impact on CD4 T cell count, HIV-1 viral load and antiretroviral treatment in people living with HIV-1.The study population consisted of 238 HIV-positive patients with information on CD4 count, HIV-1 viral load and HAART. Venous blood samples collected on EDTA tubes were used for EBV and HHV-6 Real Time PCR subtyping.An infection rate of 6.7% (16/238) and 7.1% (17/238) were found respectively for EBV and HHV-6 in the present study. Among EBV infections, similar prevalences were noted for both subtypes (3.9% [9/238] for EBV-1 vs 4.6% [11/238] for EBV-2) with 2.1% (5/238) of co-infection. HHV-6A infection represented 6.3% (15/238) of the study population against 5.0% (12/238) for HHV-6B. . EBV-2 infection was significantly higher in patients with CD4 count ≥ 500 compared to those with CD4 count less than 500 cells (1.65% vs 8.56%, p = 0,011). The prevalence of EBV and HHV-6 infections were almost similar in HAART-naive and HAART-experienced patients.The present study provides information on the prevalence of EBV and HHV-6 subtypes in people living with HIV-1 in Burkina Faso. The study also suggests that HAART treatment has no effect on infection with these opportunistic viruses in people living with HIV-1.

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Close association of CD8+/CD38brightwith HIV-1 replication and complex relationship with CD4+T-cell count

Cytometry Part B Clinical Cytometry ◽

10.1002/cyto.b.20467 ◽

2009 ◽

Vol 76B (4) ◽

pp. 249-260 ◽

Cited By ~ 19

Author(s):

Edouard Tuaillon ◽

Yassine Al Tabaa ◽

Vincent Baillat ◽

Michel Segondy ◽

Marie-Christine Picot ◽

...

Keyword(s):

T Cell ◽

Cell Count ◽

Close Association ◽

Cd4 T Cell ◽

Complex Relationship ◽

Hiv 1 ◽

Cd4 T Cell Count

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CORRELATION OF HIV-1 P24 ASSAY WITH CD4 T-CELL COUNT, HIV, HBV AND HCV CO-INFECTIONS AND ITS IMPLICATION FOR ART MONITORING IN VASTLY HIV-INFECTED POPULATION OF NIGERIA

BMJ Global Health ◽

10.1136/bmjgh-2016-000260.87 ◽

2017 ◽

Vol 2 (Suppl 2) ◽

pp. A33.2-A34

Author(s):

Iheanyi Okonko ◽

Phillip Okerentugba ◽

Oluyinka Opaleye ◽

Ezinwanne Awujo ◽

Nnenna Frank-Peterside

Keyword(s):

T Cell ◽

Cell Count ◽

Cd4 T Cell ◽

Infected Population ◽

Hiv 1 ◽

Cd4 T Cell Count

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The Challenge of HIV-1 Genetic Diversity: Discordant CD4+ T-Cell Count and Viral Load in an Untreated Patient Infected With a Subtype F Strain

JAIDS Journal of Acquired Immune Deficiency Syndromes ◽

10.1097/qai.0b013e3181b72539 ◽

2009 ◽

Vol 52 (5) ◽

pp. 659-661 ◽

Cited By ~ 8

Author(s):

Hector Bolivar ◽

Rebeca Geffin ◽

Gabriel Manzi ◽

Margaret A Fischl ◽

Vera Holzmayer ◽

...

Keyword(s):

Genetic Diversity ◽

Viral Load ◽

T Cell ◽

Cell Count ◽

Untreated Patient ◽

Cd4 T Cell ◽

Hiv 1 ◽

Cd4 T Cell Count

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Estimation of CD4+ T Cell Count Parameters in HIV/AIDS Patients Based on Real-time Nonlinear Receding Horizon Control

International Journal of Control Automation and Systems ◽

10.1007/s12555-017-0271-3 ◽

2018 ◽

Vol 16 (4) ◽

pp. 1805-1813

Author(s):

Fei Sun ◽

Kamran Turkoglu

Keyword(s):

T Cell ◽

Cell Count ◽

Real Time ◽

Receding Horizon Control ◽

Cd4 T Cell ◽

Receding Horizon ◽

Aids Patients ◽

Nonlinear Receding Horizon Control ◽

Cd4 T Cell Count ◽

Hiv Aids

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X4 Tropic Virus Prediction Is Associated with a Nadir CD4 T-Cell Count below 100 Cells/mm3

Intervirology ◽

10.1159/000398798 ◽

2015 ◽

Vol 58 (3) ◽

pp. 155-159 ◽

Cited By ~ 5

Author(s):

Matthieu Sechet ◽

Catherine Roussel ◽

Jean-Luc Schmit ◽

Carlo Saroufim ◽

Kamel Ghomari ◽

...

Keyword(s):

T Cell ◽

Cell Count ◽

False Positive Rate ◽

Cd4 T Cell ◽

Ccr5 Antagonist ◽

Net Charge ◽

Antagonist Therapy ◽

Hiv 1 ◽

Cd4 T Cell Count ◽

Tropism Prediction

Objective: The aim of this study was to evaluate tropism prediction performances of three algorithms [geno2pheno false-positive rate 10% (G2P10), position-specific scoring matrix (PSSM) and a combination of the 11/25 and net charge rules] and to investigate the viral and host factors potentially involved in the X4 or R5 prediction in human immunodeficiency virus-1 (HIV-1) patients. Methods: Viral tropism was determined in 179 HIV-1-infected patients eligible for CCR5 antagonist therapy. HIV-1 RNA or DNA was extracted and amplified for env gp120 sequencing. In parallel, demographic, viral, immunological and clinical determinants were analyzed. Results: According to the G2P10 algorithm, 48 patients harbored X4 or X4R5 virus. The tropism prediction was concordant for 87.7 and 88.2% of samples when comparing G2P10 with PSSM or with a combination of the 11/25 and net charge rules, respectively. X4 prediction was significantly associated with more than 35 amino acids in the V3 domain (p < 0.0001) and loss of an N-linked glycosylation site (p < 0.0001). Of the factors studied, only the nadir CD4 T-cell count was significantly associated with X4 tropism (p = 0.01). Conclusion: We determined that the X4 virus detection is closely linked to the nadir CD4 T-cell count below 100 cells/mm3 that must be taken into account when considering a CCR5 antagonist therapy switch.

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