HIV-1 Genetic Variability in Cuba and Implications for Transmission and Clinical Progression

Abstract

INTRODUCTION

Serological and molecular HIV-1 studies in Cuba have shown very low prevalence of seropositivity, but an increasing genetic diversity attributable to introduction of many HIV-1 variants from different areas, exchange of such variants among HIV-positive people with several coinciding routes of infection and other epidemiologic risk factors in the seropositive population. The high HIV-1 genetic variability observed in Cuba has possible implications for transmission and clinical progression.

OBJECTIVES

Study genetic variability for the HIV-1 env, gag and pol structural genes in Cuba; determine the prevalence of B and non-B subtypes according to epidemiologic and behavioral variables and determine whether a relationship exists between genetic variability and transmissibility, and between genetic variability and clinical disease progression in people living with HIV/AIDS.

METHODS

Using two molecular assays (heteroduplex mobility assay and nucleic acid sequencing), structural genes were characterized in 590 people with HIV-1 (480 men and 110 women), accounting for 3.4% of seropositive individuals in Cuba as of December 31, 2013. Nonrandom sampling, proportional to HIV prevalence by province, was conducted. Relationships between molecular results and viral factors, host characteristics, and patients’ clinical, epidemiologic and behavioral variables were studied for molecular epidemiology, transmission, and progression analyses.

RESULTS

Molecular analysis of the three HIV-1 structural genes classified 297 samples as subtype B (50.3%), 269 as non-B subtypes (45.6%) and 24 were not typeable. Subtype B prevailed overall and in men, mainly in those who have sex with men. Non-B subtypes were prevalent in women and heterosexual men, showing multiple circulating variants and recombinant forms. Sexual transmission was the predominant form of infection for all. B and non-B subtypes were encountered throughout Cuba. No association was found between subtypes and transmission or clinical progression, although the proportion of deaths was higher for subtype B. Among those who died during the study period, there were no differences between subtypes in the mean time from HIV or AIDS diagnosis to death.

CONCLUSIONS

Our results suggest that B and non-B HIV-1 subtypes found in Cuba do not differ in transmissibility and in clinical disease progression.

HIV-1; AIDS; molecular epidemiology; transmissibility; clinical progression; subtypes; circulating recombinant forms; pathogenesis; Cuba


INTRODUCTION

Since the description in 1984 of the first person infected with human immunodeficiency virus type 1 (HIV-1), the pandemic has affected more than 150 countries. UNAIDS reported 34.2 million people living with HIV worldwide in 2013.[11 United Nations. UNAIDS Global Report, UNAIDS Report on the global AIDS Epidemic, 2013 [Internet]. New York: United Nations; 2013 [cited 2013 Jan 11]. Available from: http://www.unaids.org/en/dataanalysis/knowyourresponse/country progressreports/2013countries/CUB_narrati vereport_2013
http://www.unaids.org/en/dataanalysis/kn...
]

The substantial efforts made over the past three decades to develop an effective vaccine against HIV have not yet yielded success, and scientific, social and ethical difficulties remain major challenges for medical researchers. However, combined treatment with four families of antiretrovirals—inhibiting HIV replication by acting on different targets of its mechanism—have enabled HIV infection to become a chronic disease with acceptable quality of life.[22 Kijak GH, McCutchan FE. HIV diversity, molecular epidemiology and the role of recombination. Curr Infect Dis. 2005 Nov;7(6):480–8.]

HIV, a lentivirus belonging to the Retroviridae family, is a complex retrovirus differing from other viruses by its extraordinary variability, expressed in groups, subtypes, sub-subtypes, circulating recombinant forms (CRF) and unique recombinant forms (URF). Despite its great variability, phylogenetic analysis of numerous HIV-1 isolates from diverse geographic origins has enabled its classification in four distinct phylogenetic groups: M, O, N and P. The M group includes most of the variants responsible for the global pandemic: subtypes A, B, C, D, F, G, H, J and K, and subsubtypes A1, A2, A3, A4, A5, F1 and F2. To date, 61 CRFs have been described, as well as multiple URFs.[33 Plantier JC, Leoz M, Dickerson JE, De Oliveira F, Cordonnier F, Lemée V, et al. A new human immunodeficiency virus derived from gorillas. Nat Med. 2009 Aug;15(8):871–2.]

HIV diversity is the combined result of various forces acting separately: a) frequent introduction of mutations by reverse transcriptase (because of errors and lack of corrective action); b) high replication rate or rapid virus turnover in vivo; c) selective immune response pressure; d) therapeutic pressure and e) genetic recombination as part of the retrovirus replication mechanism.[44 NÁjera R, Delgado E, Pérez L, Thomson M. El papel de la recombinación genética en el desrrollo de la pandemia del sida. Investig Clín Farm. 2005;2(1):9–22. Spanish.,55 Requejo HI. Worldwide molecular epidemiology of HIV. Rev Saude Publica. 2006 Apr;40(2):331–45.]

HIV genetic diversity should be studied not only to discern its origin and understand its molecular epidemiology, but to also monitor emergence of new variants that may be more transmissible or pathogenic, as well as their implications for serological and molecular laboratory diagnosis, changes in resistance patterns to antiretroviral drugs, and development of an effective vaccine.[55 Requejo HI. Worldwide molecular epidemiology of HIV. Rev Saude Publica. 2006 Apr;40(2):331–45.]

Early HIV-1 genetic characterization in Cuba demonstrated circulation of several viral variants: subtypes A, B, C, D, F, G and H of the M group. Subsequently, a gradual increase in diversity has been observed, with emergence of new subtypes and recombinant forms caused by a mixture of subtypes that originally contributed to the epidemic in Cuba.[66 Diaz HM, Lubian AL, Blanco M, Rolo F, Martinez N, Nibot C. Transmissibility and disease progression in group of individuals infected with different HIV-1 subtypes in Cuba. Proceedings of the 15th International AIDS Conference; 2004 Jul 11-15; Bangkok, Thailand. Bangkok: MEDIMOND International S.r.l. Monduzzi editore; 2004. ISBN 88-7587-065-9.1414 Machado LY, Dubed M, Diaz H, Ruiz N, Romay D, VÁldes N, et al. Transmitted HIV type 1 drug resistance in newly diagnosed Cuban patients. AIDS Res Hum Retroviruses. 2013 Feb;29(2):411–4.]

Kanki demonstrated presence of CRFs in 1997, in samples from serum banks collected in the 1980s (when molecular findings considered only pure subtypes).[1515 Kanki PJ, Peeters M, Guéye-Ndiaye A. Virology of HIV-1 and HIV-2: implications for Africa. AIDS. 1997;11 Suppl B:S33–42.] This suggests that recombination is not a recent phenomenon, but goes back to the 1980s, when nucleic acid sequencing technology for complete genome studies was not available. It was not until the late 1990s that circulation of multiple subtypes and their recombinations was reported.[22 Kijak GH, McCutchan FE. HIV diversity, molecular epidemiology and the role of recombination. Curr Infect Dis. 2005 Nov;7(6):480–8.,55 Requejo HI. Worldwide molecular epidemiology of HIV. Rev Saude Publica. 2006 Apr;40(2):331–45.]

The same may have occurred in Cuba, and diversity has certainly increased. Early studies targeted the envelope (env) gene, since it is the most important for immune response and vaccine studies; subsequently, the gag and pol genes were studied, revealing circulation of other subtypes and CRFs. It was not until 2001 that discussion of HIV mosaicism in Cuba began.[99 Cuevas MT, Ruibal I, Villahermosa ML, Diaz HM, Delgado E, Parga EV, et al. High HIV-1 genetic diversity in Cuba. AIDS 2002 Aug;16(12):1643–53.] Later research found various complex forms and a CRF increase in the seropositive population.[1010 Pérez L, Thomson M, Bleda MJ. HIV Type 1 Molecular Epidemiology in Cuba: High Genetic Diversity, Frequent Mosaicism, and Recent Expansion of BG Intersubtype Recombinant Forms. AIDS Res Hum Retroviruses 2006; 22 (8):724–33. 11 Resik S, Lemey P, Ping LH, Kouri V, Joanes J, Pérez J, et al. Limitations to contact tracing and phylogenetic analysis in establishing HIV type 1 transmission networks in Cuba. AIDS Res Hum Retroviruses. 2007 Mar;23(3):347–56. 13 Machado LY, Blanco M, Dubed M, Diaz HM, Ruiz NM, VÁldes N, et al. HIV type 1 genetic diversity in newly diagnosed Cuban patients. AIDS Res Hum Retroviruses. 2012 Aug;28(8):956–60.1414 Machado LY, Dubed M, Diaz H, Ruiz N, Romay D, VÁldes N, et al. Transmitted HIV type 1 drug resistance in newly diagnosed Cuban patients. AIDS Res Hum Retroviruses. 2013 Feb;29(2):411–4.]

While interest has grown worldwide in the association of HIV-1 genetic variability with transmissibility and clinical disease progression, few studies have successfully compared subtypes, because the necessary clinical and epidemiologic information about patients and their contacts is not readily available. Factors such as stigma and discrimination can introduce bias in available information; patients, for example, may be reticent to report multiple sexual partners, making it difficult to trace contacts for epidemiologic monitoring.[55 Requejo HI. Worldwide molecular epidemiology of HIV. Rev Saude Publica. 2006 Apr;40(2):331–45.,66 Diaz HM, Lubian AL, Blanco M, Rolo F, Martinez N, Nibot C. Transmissibility and disease progression in group of individuals infected with different HIV-1 subtypes in Cuba. Proceedings of the 15th International AIDS Conference; 2004 Jul 11-15; Bangkok, Thailand. Bangkok: MEDIMOND International S.r.l. Monduzzi editore; 2004. ISBN 88-7587-065-9.]

Serological and molecular studies in Cuba show low prevalence of seropositivity, but increasing genetic variability with epidemiologic implications.[66 Diaz HM, Lubian AL, Blanco M, Rolo F, Martinez N, Nibot C. Transmissibility and disease progression in group of individuals infected with different HIV-1 subtypes in Cuba. Proceedings of the 15th International AIDS Conference; 2004 Jul 11-15; Bangkok, Thailand. Bangkok: MEDIMOND International S.r.l. Monduzzi editore; 2004. ISBN 88-7587-065-9.1414 Machado LY, Dubed M, Diaz H, Ruiz N, Romay D, VÁldes N, et al. Transmitted HIV type 1 drug resistance in newly diagnosed Cuban patients. AIDS Res Hum Retroviruses. 2013 Feb;29(2):411–4.] Our objectives, therefore, were to study the genetic variability of the HIV-1 env, gag and pol structural genes in Cuba; determine the prevalence of B and non-B subtypes according to epidemiologic and behavioral variables; and establish whether relationships exist between genetic variability and transmission, and between such variability and clinical disease progression in persons living with HIV/AIDS in Cuba.

METHOD

Design and Population

This is a descriptive study, the universe being the 17,625 HIV-1 seropositive people in Cuba between January 1, 2008, and December 31, 2012. The study population comprised 590 persons (480 men and 110 women) aged 14–70 years, or 3.3% of all seropositive individuals in Cuba. Selection was made by nonrandom sampling, proportional to HIV prevalence by province, including samples that met inclusion criteria until the assigned quota was filled. Table 1 shows the universe and study population by province and totals.[11 United Nations. UNAIDS Global Report, UNAIDS Report on the global AIDS Epidemic, 2013 [Internet]. New York: United Nations; 2013 [cited 2013 Jan 11]. Available from: http://www.unaids.org/en/dataanalysis/knowyourresponse/country progressreports/2013countries/CUB_narrati vereport_2013
http://www.unaids.org/en/dataanalysis/kn...
,1616 Rosner B, Rosner R. Fundamentals of biostatistics. 5th ed. Massachusetts: Duxbury Press; 1999.]

Table 1
Universe and study population distribution by province

Inclusion criteria

HIV-1 seropositive individuals with infection confirmed by serological methods, of both sexes, from each of Cuba’s 15 provinces and the Isle of Youth Special Municipality, who voluntarily agreed to participate and provide the necessary epidemiologic information were eligible.

Ethics

Procedures were carried out according to the ethical standards of the Ministry of Public Health (MINSAP) and the Ministry of Science, Technology and Environment, in accordance with the principles of the Declaration of Helsinki. The study protocol was approved by the ethics committee of the National AIDS Reference Laboratory (NRL) of the National STI–HIV/AIDS program. At the time of sampling for the molecular study, each patient provided written informed consent and filled out an epidemiologic questionnaire. Procedures for handling patient information ensured confidentiality of individual identities.

Sampling and nucleic acid extraction

A 10 mL peripheral blood extraction was performed by venipuncture with anticoagulant (EDTA 0.2 mmol/L, pH 7.2). Samples were processed within 24 hours of extraction. To obtain the genetic material two procedures were used: the first method for obtaining DNA by Ficoll gradient (GE Healthcare, Sweden), phenol-chloroform-isoamyl alcohol (Sigma-Aldrich, USA) extraction and precipitation in absolute alcohol (Merck KGaA, Germany);[1717 Boyum A. Isolation of mononuclear cells and granulocytes from human blood. Isolation of monuclear cells by one centrifugation, and granulocytes by combining centrifugation and sedimentation at 1 g. Scand J Clin Lab Invest Suppl. 1968;97:77–89.,1818 Jackson DP, Hayden JD, Quirke P. Extraction of nucleic acid from fresh and archival material. In: McPherson MJ, Quirke P, Taylor GR, editors. PCR: A Practical Approach Series. Oxford: IRL Press; 1991. 280 p.] the second procedure for obtaining DNA or RNA, using the High Pure Viral Nucleic Acid Kit (Roche Diagnostics GmbH, Germany), according to manufacturer’s instructions. The first procedure was used for all samples characterized by env/gag heteroduplex mobility assay, and the second for all samples characterized by automated nucleic acid sequencing of the env/pol genes.

Molecular studies

Two methods were employed for molecular genotyping. From 2008 through 2010 the heteroduplex mobility assay (HMA) was used for genes env and gag using the HMA sub-typing kit (NIH AIDS Research and Reference Reagent Program, USA).[1919 Powell RL, Urbanski MM, Nyambi PN. A heteroduplex assay for the rapid detection of dual Human Immunodeficiency Virus Type 1 infections. J Virol Methods. 2008 Apr;149(1):20–7.,2020 Manigart O, Boeras DI, Karita E, Hawkins PA, Vwalika C, Makombe N, et al. A gp41-based heteroduplex mobility assay provides rapid and accurate assessment of intrasubtype epidemiological linkage in HIV type 1 heterosexual transmission pairs. AIDS Res Hum Retroviruses. 2012 Dec;28(12):1745–55.]. Proviral DNA was amplified by nested PCR for the gag and env genes. For the envelope gene, ED5/ED12 and ES7/ES8 or ED31/ED33 primers were used that recognize a fragment of the env gene encoding the V1–V5 region of gp120.[2020 Manigart O, Boeras DI, Karita E, Hawkins PA, Vwalika C, Makombe N, et al. A gp41-based heteroduplex mobility assay provides rapid and accurate assessment of intrasubtype epidemiological linkage in HIV type 1 heterosexual transmission pairs. AIDS Res Hum Retroviruses. 2012 Dec;28(12):1745–55.] For the gag gene, H1G777/H1P202 and H1Gag1584/g17 primers were used that recognize a fragment of the gag gene.[2121 Heyndrickx L, Janssens W, Zekeng L, Musonda R, Anagonou S, Van der Auwera G, et al. Simplified strategy for detection of recombinant human immunodeficiency virus type 1 group M isolates by gag/env heteroduplexmobility assay. Study Group on Heterogeneity of HIV Epidemics in African Cities. J Virol. 2000 Jan;74(1):363–70.] The heteroduplexes were formed between the samples and reference standards. Recognition between the two DNA fragments generated heteroduplex formations, which were run on polyacrylamide gel. Their relative mobility on the gel reflected their homology. [2020 Manigart O, Boeras DI, Karita E, Hawkins PA, Vwalika C, Makombe N, et al. A gp41-based heteroduplex mobility assay provides rapid and accurate assessment of intrasubtype epidemiological linkage in HIV type 1 heterosexual transmission pairs. AIDS Res Hum Retroviruses. 2012 Dec;28(12):1745–55.2121 Heyndrickx L, Janssens W, Zekeng L, Musonda R, Anagonou S, Van der Auwera G, et al. Simplified strategy for detection of recombinant human immunodeficiency virus type 1 group M isolates by gag/env heteroduplexmobility assay. Study Group on Heterogeneity of HIV Epidemics in African Cities. J Virol. 2000 Jan;74(1):363–70.] Genetic distance between sequences and subtypes for the env/gag genes was determined.

In 2011 and 2012 automated nucleic acid sequencing of the env and pol genes was used, according to procedures described by Thomson[2222 Thomson M, Casado G, Posada D, Sierra M, NÁjera R. Identification of novel complex circulating recombinant form (CRF18_cpx) of Central African origin in Cuba. AIDS. 2005 Jul 22;19(11):1155–63.] and Quarleri.[2323 Quarleri JF, Rubio A, Carobene M, Turk G, Vignoles M, Harrigan RP, et al. HIV type 1 BF recombinant strains exhibit different pol gene mosaic patterns: descriptive analysis from 284 patients under treatment failure. AIDS Res Hum Retroviruses. 2004 Oct;20(10):1100–7.]

Plasma viral load was determined for each sample to define RNA copies/mL in plasma as the criterion for genetic material amplification. The COBAS AmpliPrep/COBAS TaqMan HIV-1 Test (Roche Diagnostics GmbH, Germany) was used, following manufacturer’s specifications. Proviral DNA was amplified by nested PCR for the env gene (C2-V3-C3 fragment) using external primers ED5/ED12 and internal primers ED31/ED33.[2020 Manigart O, Boeras DI, Karita E, Hawkins PA, Vwalika C, Makombe N, et al. A gp41-based heteroduplex mobility assay provides rapid and accurate assessment of intrasubtype epidemiological linkage in HIV type 1 heterosexual transmission pairs. AIDS Res Hum Retroviruses. 2012 Dec;28(12):1745–55.] For the pol gene, primers for protease and reverse transcriptase fragments were used: the pair RT3.1/5’CP as external primers and three, sets (1F/6B, A35/NE1 and RT3208F/RT3798R) as internal primers.[2323 Quarleri JF, Rubio A, Carobene M, Turk G, Vignoles M, Harrigan RP, et al. HIV type 1 BF recombinant strains exhibit different pol gene mosaic patterns: descriptive analysis from 284 patients under treatment failure. AIDS Res Hum Retroviruses. 2004 Oct;20(10):1100–7.] The purified PCR product was directly sequenced with the QuickStart kit (Beckman Coulter, USA), according to manufacturer’s instructions, in a CEQ 8800 automated sequencer (Beckman Coulter, USA).

Phylogenetic analysis

The resulting pol and env gene sequences were assembled and edited using the Sequencher 4.0.5 program (Gene Codes Corp, USA). Multiple sequence alignment was done with the Muscle program (MEGA 6.0, USA). A basic local alignment search tool was applied to compare results with subtype reference sequences from the Los Alamos National Laboratory database.[2424 Los Álamos National Laboratory database [Internet]. Los Álamos: Los Álamos National Laboratory (US); c2006–2009. HIV Databases; [updated 2015 Jun; cited 2013 Jan 11]. Available from: www.hiv.lanl.gov
www.hiv.lanl.gov...
] Phylogenetic analysis was performed with MEGA version 6.0.[2525 Tamura K, Dudley J, Nei M, Kumar S. MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol. 2007 Aug;24(8):1596–9.] The phylogenetic tree was made using the neighbor-joining method and genetic distance was calculated according to Kimura’s two parameters. [2626 Kimura M. A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980 Dec;16(2):111–20.] Bootstrapping values were calculated based on 1000 replications. Analysis of recombinant inter-subtypes and recombination hotspots was performed by bootscanning using SimPlot version 3.5.1.[2626 Kimura M. A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980 Dec;16(2):111–20.]

Variables

The main variables were subtype (A, B, C, D, F, G, H, J and K), sub-subtype (A1, A2, A3, A4, A5 F1 and F2), CRF and URF.[2424 Los Álamos National Laboratory database [Internet]. Los Álamos: Los Álamos National Laboratory (US); c2006–2009. HIV Databases; [updated 2015 Jun; cited 2013 Jan 11]. Available from: www.hiv.lanl.gov
www.hiv.lanl.gov...
]

Distribution of secondary variables by sex, sexual preference (men who have sex with men: MSM; heterosexual: HT), place of infection and place of residence (Cuba, province, region) was analyzed. Disease transmission, clinical progression (mean survival time in years and average AIDS-free time in years, assessed by CD4 count and plasma viral load, data from SIDATRAT, Pedro Kourí Tropical Medicine Institute) were analyzed by subtype (B, non-B).[2727 Aragonés C, Campos JR, Pérez D, Martinez A, Pérez J. SIDATRAT: Informatics to improve HIV/AIDS care. MEDICC Rev. 2012 Oct;14(4):5–9.]

For molecular epidemiology analysis, genotyping and patients’ clinical–epidemiologic identification data were considered: year of diagnosis, age, sex (male, female), env gene subtype, gag gene subtype, pol gene subtype, death from AIDS, province, probable date and place of infection, date of diagnosis, date classified as AIDS, date of death, and sexual orientation (HT, MSM). Data were taken from the PACIENTE database of MINSAP’s National Epidemiology Program (PNE).

Geographic distribution analysis was performed at national, provincial and regional levels. Provinces were grouped in three regions: West (Pinar del Río, Mayabeque, Artemisa, Havana, Matanzas and Isle of Youth), Center (Villa Clara, Cienfuegos, Sancti Spiritus, Ciego de Ávila and Camagüey) and East (Las Tunas, Holguin, Granma, Santiago de Cuba and GuantÁnamo).

To associate variability with transmissibility of B and non-B subtypes, three variables were analyzed: reported contacts, studied contacts and positive contacts (data from CONTACTOS database, PNE/MINSAP).

To associate clinical disease progression in B and non-B subtypes, four time lapses (in years) were studied: from probable date of infection (PDI) to date patient was diagnosed with AIDS (DxAIDS); from date of HIV diagnosis (DxHIV) to DxAIDS; from PDI or DxHIV to date of death; and from DxAIDS to date of death (data from PACIENTE database, PNE/MINSAP).

Database variables that complement analysis of clinical disease progression were also taken into consideration: namely, persons who developed the disease (AIDS), persons who died, living persons, classification of patients into fast progressors (FP), typical progressors (TP), and slow progressors (SP). The CD4+ cell count, in percent and absolute value, was used for classifying patients as FP, when the CD4+ cell count was <300 between 1 and 3 years; TP, from 4 to 9 years and SP, ≥10 years. Another variable analyzed was viral load (VL), taking as baseline values ≥1000 RNA copies/mL or 3.0 log in plasma between 1 and 3 years, 4 and 9 years and ≥10 years, respectively,[2828 Lodi S, Phillips A, Touloumi G, Geskus R, Meyer L, Thiébaut R, et al. Time from human immunodeficiency virus seroconversion to reaching CD4+ cell count thresholds <200, <350, and <500 Cells/mm3: assessment of need following changes in treatment guidelines. Clin Infect Dis. 2011 Oct;53(8):817–25.]29 Armitage P, Armitage EN, Berry G. Estadistica para la investigación biomédica. 2nd ed. Barcelona: Doyma Press; 1992. Spanish. (data from SIDATRAT).[2727 Aragonés C, Campos JR, Pérez D, Martinez A, Pérez J. SIDATRAT: Informatics to improve HIV/AIDS care. MEDICC Rev. 2012 Oct;14(4):5–9.]

In the group of patients classified as FP, it was necessary to consider whether other epidemiologic and behavioral conditions favoring transmission and clinical progression of the disease were involved. The conditions studied were >5 lifetime sexual partners reported, intravenous drug use, ongoing sexual relationships with seropositive partners or contacts, age >40 years at the time of primary infection (Database PACIENTE, PNE/MINSAP).

Analysis

Parametric and nonparametric methods and the Z and chi square statistics were used to compare means and proportions, respectively. Actuarial tables were prepared for analyzing clinical progression and survival times using Kaplan–Meier analysis and the log rank test. Statistica 8.0 (StatSoft, USA) was used for data processing and EPIDAT 3.1 (Spain) for epidemiologic analysis of tabulated data.[1616 Rosner B, Rosner R. Fundamentals of biostatistics. 5th ed. Massachusetts: Duxbury Press; 1999.,29] The statistical significance level for all tests was p <0.05. Comparisons were made between B and non-B subtypes for each of the secondary variables described above.

RESULTS

Out of 17,625 people seropositive for HIV-1 in the study period, isolates from 590 were studied. Of them, 566 (96%) could be typed for two or three structural genes env/gag or env/pol, by any one of the methods used for characterization: 297 (50.3%) subtype B and 269 (45.5%) non-B subtype; 24 (4.1%) were not typeable (Table 2).

Table 2
HIV-1 subtypes and recombinant forms of env/gag/pol genes (n = 590)

Molecular findings and clinical-epidemiologic data

The relationship between B and non-B subtypes with sex and sexual orientation was as follows: subtype B was more frequent in men (252/456; 55.3%) than in women (45/110; 40.9%), a highly significant difference (p <0.001). Similarly, analysis of sexual orientation found subtype B more frequent in MSM (232/401; 57.9%) than in HT (65/165; 39.4%), a highly significant association (p <0.001).

Persons were infected with HIV-1 in 12 countries; mostly in Cuba (subtype B: 277; 93.3% and non-B: 249; 92.6%). Infections occurred in six African countries (Republic of Congo, Ethiopia, South Africa, Zambia, Guinea, Angola), and the USA, Canada, Spain, Costa Rica and Brazil. Five persons, all sailors, did not report the place of infection.

Subtypes observed in the study and introduced in Cuba were: A, B, C, D, F, G, H, ADK, A/AG, CRF02 and CRF18. Distribution of B and non-B subtypes in Cuba is shown in Table 3. Both B and non-B subtypes were found throughout the country. Some differences between provincial proportions of B and non-B subtypes were found, but there were no significant differences by region (Table 3).

Table 3
Distribution of B and non-B HIV-1 subtypes by province and region

Analysis of B and non-B subtype transmission is shown in Table 4. Persons with subtype B reported a larger number of contacts, of which 75.2% could be studied to confirm the serologic diagnosis of HIV-1. For those with non-B subtypes, 90.5% of contacts reported could be studied. There was no significant difference between B and non-B subtypes in the ratio of positive contacts to studied contacts (p = 0.269). A similar analysis was performed for non-B subtypes and the CRFs most frequently found in the studied sample, again, with no significant differences detected.

Table 4
Transmission of B and non-B subtypes, contact tracing (n = 566)

Table 5 displays analysis of clinical disease progression for B and non-B subtypes according to whether or not the person had developed AIDS at the time of analysis. There were no signifi cant differences between the two groups. Another analysis of dis ease progression was performed for each group considering time elapsed, in years, from PDI to DxAIDS. The difference between the two groups was not significant. The same analysis was also performed for PDI to DxHIV: the average time between PDI and DxHIV of all patients included in the study was estimated at 2.4 years. Analysis of time in years from DxHIV to DxAIDS yielded similar results, with a nonsignificant difference of less than one year between persons with subtype B and those with non-B.

Table 5
Clinical progression (AIDS-free time) for B and non-B subtypes (n = 566)

In terms of disease progression (Table 5), a higher proportion of persons infected with subtype B died during the study period than did persons with non-B subtypes (25.2% vs. 12.6%, respectively). This difference was significant. No statistically significant difference was found in survival times between persons with B and non-B subtypes. Regarding time from DxAIDS to death, lifespan of persons with subtype B was one year shorter than for those with non-B subtypes, but the difference was not statistically significant.

Regarding rate of progression as measured by CD4 count, no statistically significant differences were found between B and non-B subtypes, nor were differences observed between the two groups when we analyzed time elapsed to reach a viral load of >1000 copies/mL (Table 6).

Table 6
Clinical progression by subtype, by CD4 count and plasma viral load levels (n = 566)

When epidemiologic and behavioral variables were analyzed in the FP patient group (174 with subtype B and 139 non-B), several fac tors were frequently observed in the same patient. No significant differences were found between patients with B and non-B subtypes with respect to having one or more risk factors, although some differences were observed for individual factors (Table 7).

Table 7
Risk factors in fast progressors with B and non-B subtypes (n = 313)

Among these, the one displaying the greatest difference is more than five sexual partners. These differences were significant for subtype B compared with non-B. Subtype B in this study was associated with the highest risk group, men with the sexual orientation MSM. In many patients, having >5 sexual partners coexisted with other risk factors, such as IV drug use, which was present in 21.4% (67/313), with no difference between subtypes (overall prevalence of IV drug use in the sample was 13.4%; 79/590). Patients with non-B subtypes tended to have stable relationships with seropositive sexual partners, although the difference did not reach statistical significance (Table 7).

All patients aged >40 years at time of infection showed rapid progression of the disease; 22.4% of fast progressors with subtype B and 31.7% of fast progressors with subtype non-B were aged >40 years at time of infection; the difference between subtypes was not statistically significant (Table 7).

DISCUSSION

As of December 2012, Cuba’s National HIV/AIDS Program had recorded a total of 19,781 persons diagnosed HIV-1 seropositive since 1986. Although low prevalence of HIV infection in Cuba (0.2%) ranks our epidemic as one of the smallest in the world,[11 United Nations. UNAIDS Global Report, UNAIDS Report on the global AIDS Epidemic, 2013 [Internet]. New York: United Nations; 2013 [cited 2013 Jan 11]. Available from: http://www.unaids.org/en/dataanalysis/knowyourresponse/country progressreports/2013countries/CUB_narrati vereport_2013
http://www.unaids.org/en/dataanalysis/kn...
] it shows high genetic diversity of subtypes, CRFs and UFRs, since favorable conditions for coinfections and superinfections have led to the recombinations between subtypes observed during our epidemiologic and molecular history.[66 Diaz HM, Lubian AL, Blanco M, Rolo F, Martinez N, Nibot C. Transmissibility and disease progression in group of individuals infected with different HIV-1 subtypes in Cuba. Proceedings of the 15th International AIDS Conference; 2004 Jul 11-15; Bangkok, Thailand. Bangkok: MEDIMOND International S.r.l. Monduzzi editore; 2004. ISBN 88-7587-065-9.1414 Machado LY, Dubed M, Diaz H, Ruiz N, Romay D, VÁldes N, et al. Transmitted HIV type 1 drug resistance in newly diagnosed Cuban patients. AIDS Res Hum Retroviruses. 2013 Feb;29(2):411–4.]

This study, using two nucleic acid technologies, env/gag HMA and nucleic acid sequencing for three of the HIV-1 structural genes, corroborated the aforementioned and found predominantly subtype B, but also showed that virtually all non-B subtypes were in circulation, as well as many recombinant variants corresponding to subtypes reported in previous studies. These results relate to the origins of HIV-1 variants introduced in Cuba: the coexistence of persons living with HIV/AIDS for several years in sanatoriums, the fact that several routes of infection have coincided, and epidemiologic and behavioral risk factors in the seropositive population—all contributing to the high genetic variability of HIV-1 observed in Cuba.[99 Cuevas MT, Ruibal I, Villahermosa ML, Diaz HM, Delgado E, Parga EV, et al. High HIV-1 genetic diversity in Cuba. AIDS 2002 Aug;16(12):1643–53.,1010 Pérez L, Thomson M, Bleda MJ. HIV Type 1 Molecular Epidemiology in Cuba: High Genetic Diversity, Frequent Mosaicism, and Recent Expansion of BG Intersubtype Recombinant Forms. AIDS Res Hum Retroviruses 2006; 22 (8):724–33.]

Subtype B was found more frequently than any of the non-B subtypes. Early in the HIV epidemic, subtype B—which prevailed in Eastern European countries and the USA—was referred to as the predominant subtype globally, possibly because most molecular studies were carried out in those developed countries.[3030 Kapaata A, Lyagoba F, Ssemwanga D, Magambo B, Nanyonjo M, Levin J, et al. HIV-1 subtype distribution trends and evidence of transmission clusters among incident cases in a rural clinical cohort in southwest Uganda, 2004-2010. AIDS Res Hum Retroviruses. 2013 Mar;29(3):520–7.] But worldwide distribution of HIV-1 viral variants has changed. Today subtype B is found in only 10% of new HIV infections globally; non-B subtypes and CRFs[3131 Huang A, Hogan JW, Istrail S, Delong A, Katzenstein DA, Kantor R. Global analysis of sequence diversity within HIV-1 subtypes across geographic region. Future Virol. 2012 May;7(5):505–17.3535 Ssemwanga D, Nsubuga RN, Mayanja BN, Lyagoba F, Magambo B, Yirrell D, et al. Effect of HIV-1 subtypes on disease progression in rural Uganda: a prospective clinical cohort study. PLoS One. 2013 Aug 12;8(8):e71768. DOI: 10.1371/journal.pone.0071768.
https://doi.org/10.1371/journal.pone.007...
] account for the remaining 90%. In Cuba, however, subtype B accounts for most infections in the seropositive population, as has been consistently shown from the first molecular characterization studies. This can be explained by the fact that subtype B had its founder effect in MSM, the population at highest epidemiologic risk and the majority in our epidemic, although a gradual increase of non-B subtypes and CRFs has been observed in recent years.[1212 Pérez L, Alvarez LP, Carmona R, Aragonés C, Delgado E, Thomson MM, et al. Genotypic resistance to antiretroviral drug in patients infected with several HIV type 1 genetic forms in Cuba. AIDS Res Hum Retroviruses. 2007 Mar;23(3):407–14.1414 Machado LY, Dubed M, Diaz H, Ruiz N, Romay D, VÁldes N, et al. Transmitted HIV type 1 drug resistance in newly diagnosed Cuban patients. AIDS Res Hum Retroviruses. 2013 Feb;29(2):411–4.]

Male sex predominated in both B and non-B subtype groups because the AIDS epidemic in Cuba has occurred mostly among men (80%), and of these, 89.0% are MSM.[3636 Gorry C. Cuba’s National HIV/AIDS Program. MEDICC Rev. 2011 Apr;13(2):5-8.] Subtype B in Cuba is associated with male sex and MSM, whereas non-B subtypes are associated with women and heterosexual orientation.

At the beginning of the epidemic in Cuba in the 1980s, subtype B became established among men, mainly MSM.[77 Rolo FM, Miranda L, Wainberg MA, Gu Z, Lobaina L, Noa E, et al. Envelope V3 region sequences of Cuban HIV-1 isolates. J Acquir Immune Defic Syndr Hum Retrovirol. 1995 Jun 1;9(2):123–5.] Non-B subtypes, on the other hand, had their founder effect in heterosexual persons. Different viral variants were introduced into Cuba by persons (mainly heterosexual men) who acquired the infection in various African countries and upon their return passed it on to female sexual partners, accounting for the HT sexual orientation predominance.[77 Rolo FM, Miranda L, Wainberg MA, Gu Z, Lobaina L, Noa E, et al. Envelope V3 region sequences of Cuban HIV-1 isolates. J Acquir Immune Defic Syndr Hum Retrovirol. 1995 Jun 1;9(2):123–5.,88 Gómez CE, Iglesias E, Perdomo W, Rolo F, Blanco M, Lobaina L, et al. Isolates from four different HIV type 1 clades circulating in Cuba. Identified by DNA sequence of the C2-V3 region. AIDS Res Hum Retroviruses. 2001 Jan 1;17(1):55–8.] Women are more vulnerable to acquiring both B and non-B subt ypes, because of the high proportion of seropositive men with bisexual practices.[11 United Nations. UNAIDS Global Report, UNAIDS Report on the global AIDS Epidemic, 2013 [Internet]. New York: United Nations; 2013 [cited 2013 Jan 11]. Available from: http://www.unaids.org/en/dataanalysis/knowyourresponse/country progressreports/2013countries/CUB_narrati vereport_2013
http://www.unaids.org/en/dataanalysis/kn...
,2727 Aragonés C, Campos JR, Pérez D, Martinez A, Pérez J. SIDATRAT: Informatics to improve HIV/AIDS care. MEDICC Rev. 2012 Oct;14(4):5–9.] These epidemiologic conditions still describe our epidemic after more than 20 years, with predominance of subtype B relative to non-B subtypes with their multiple recombinants.

Our research also delved into the molecular characteristics of the Cuban epidemic, since 93% of samples were from people infected in Cuba. Nevertheless, variants introduced from several countries were found, providing evidence of subtypes introduced into Cuba from Africa, Europe, and North and South America.[66 Diaz HM, Lubian AL, Blanco M, Rolo F, Martinez N, Nibot C. Transmissibility and disease progression in group of individuals infected with different HIV-1 subtypes in Cuba. Proceedings of the 15th International AIDS Conference; 2004 Jul 11-15; Bangkok, Thailand. Bangkok: MEDIMOND International S.r.l. Monduzzi editore; 2004. ISBN 88-7587-065-9.1414 Machado LY, Dubed M, Diaz H, Ruiz N, Romay D, VÁldes N, et al. Transmitted HIV type 1 drug resistance in newly diagnosed Cuban patients. AIDS Res Hum Retroviruses. 2013 Feb;29(2):411–4.] It was also observed that B and non-B subtypes, as well as CRFs, are distributed throughout the country.

Transmission analysis showed that B and non-B subtypes have been transmitted in equal proportions in the seropositive population under study. According to Zhang in 2007, HIV-1 transmission may depend on the genetic form or the presence of recombination because of changes in the properties of the viruses involved and the biological and genetic characteristics of both viruses. In this study, however, no association between genetic subtypes and transmissibility was found.[3737 Zhang X, Wang C, Hengwei W, Li X, Li D, Ruan Y, et al. Risk factors of HIV infection and prevalence of co-infections among men who have sex with men in Beijing, China. AIDS. 2007 Dec;21 Suppl 8:S53–7.] Transmissibility may also depend on other factors, such as levels of viral load in plasma, since high levels of viral load in HIV promote rapid progression to AIDS and increase transmissibility to subsequent contacts.[2828 Lodi S, Phillips A, Touloumi G, Geskus R, Meyer L, Thiébaut R, et al. Time from human immunodeficiency virus seroconversion to reaching CD4+ cell count thresholds <200, <350, and <500 Cells/mm3: assessment of need following changes in treatment guidelines. Clin Infect Dis. 2011 Oct;53(8):817–25.] Jennes suggests that certain subtypes, such as subtype C, are transmitted more efficiently by perinatal route than subtypes B, A and D.[3333 Jennes W, Kyongo J , Vanhommerig E, Camara E, Coppens S, Seydi M. Molecular Epidemiology of HIV-1 Transmission in a Cohort of HIV-1 Concordant Heterosexual Couples from Dakar, Senegal. PLoS One 2012;7(5):e37402. DOI:10.1371/journal.pone.0037402
https://doi.org/10.1371/journal.pone.003...
] Kouyos in 2010, observed that non-B subtypes (A, C, D) were adapted to heterosexual transmission, while B subtype showed transmission efficiency among MSM and IV drug users.[3232 Kouyos RD, von Wyl V, Yerly S, Böni J, Taffé P, Shah C, et al. Molecular epidemiology reveals long-term changes in HIV type 1 subtype B transmission in Switzerland. J Infect Dis. 2010 May 15;201(10):1488–97.,3838 Chun HM, Carpenter RJ, Macalino GE, CrumCianflone NF. The role of sexually transmitted infections in HIV-1 progression: a comprehensive review of the literature. J Sexually Transmitted Dis [Internet]. 2013 [cited 2014 Feb 15]; [about 16 p]. Available from: http://downloads.hindawi.com/journals/jstd/2013/176459.pdf
http://downloads.hindawi.com/journals/js...
] These results are consistent with our that subtype B predominates in men and among these in MSM and non-B, in women with heterosexual orientation.

While there are no published data on Cuban prevalence of IV drug use in Cuba, the 13.4% overall prevalence and 21.4% among fast progressors we found is undoubtedly much higher than in the general population.

Study of disease progression among those infected with B and non-B subtypes showed no differences after analyzing the state of the immune system (CD4 cells) of patients classified as FP, TP and SP. Moreover, the level of plasma viral RNA or viral load, which reflects degree of virus replication, also showed no subtype-related differences in disease progression. These parameters are related because decrease in CD4 cell count is determined by elevation of viral RNA concentration in plasma.[2828 Lodi S, Phillips A, Touloumi G, Geskus R, Meyer L, Thiébaut R, et al. Time from human immunodeficiency virus seroconversion to reaching CD4+ cell count thresholds <200, <350, and <500 Cells/mm3: assessment of need following changes in treatment guidelines. Clin Infect Dis. 2011 Oct;53(8):817–25.,3434 Yebraa G, de Mulder M, Martin L, Pérez-Cachafeiro S, Rodriguez C, Labarga P, et al. Sensitivity of seven HIV subtyping tools differs among subtypes/recombinants in the Spanish cohort of naïve HIV-infected patients (CoRIS). Antiviral Res. 2011 Jan;89(1):19-25.,3939 Keller M, Lu Y, Lalonde R, Klein M. Slower clinical progression in antiretroviral-naïve African immigrants compared to Haitian and Canadian patients in a universal health care system. In: Program and abstracts of the 15th Conference on Retroviruses and Opportunistic Infections; 2008 Feb 3-6; Boston, Massachusetts. Abstract 528.]

The results of progression analysis further showed that the proportion of deaths was higher in subtype B patients. Although times from probable infection date to diagnosis, from diagnosis to AIDS development and to death were shorter in subtype B patients, these differences did not reach statistical significance. The proportion of patients who developed AIDS was not significantly different among subtypes either. At the same time, subtype B was significantly associated with other risk factors such as male sex, MSM sexual orientation, and many sexual partners. It is possible that these factors played a role in the higher proportion of deaths among subtype B-infected patients, since there is no evidence to suggest that subtype B is more lethal than others. This aspect requires further research, including multivariate statistical analysis.

These observations are consistent with those made by authors who suggest that disease transmission and progression depend on many factors, such as host susceptibility (chemokine coreceptor polymorphism),[4040 Goetz MB, Leduc R, Kostman JR, Labriola AM, Lie Y, Weidler J, et al. Relationship between HIV coreceptor tropism and disease progression in persons with untreated chronic HIV infection. J Acquir Immune Defic Syndr. 2009 Mar 1;50(3):259–66.] genetics (HLA system genotypes), the immune system (direct HIV immune response),[4141 Castro-Nallar E, Crandall K, Pérez-Losada M. Genetic diversity and molecular epidemiology of HIV transmission. Future Virol. 2012;7(3):239–52.] age of patient at time of seroconversion,[4242 Kouyos RD, von Wyl V, Yerly S, Böni J, Rieder P, Joos B, et al. Ambiguous nucleotide calls from population-based sequencing of HIV-1 are a marker for viral diversity and the age of infection. Clin Infect Dis. 2011 Feb 15;52(4):532–9.] coinfections with other HIV variants or other viral agents such as hepatitis B and C viruses,[4343 Sharp PM, Hahn B. The evolution of HIV-1 and the origin of AIDS. Philos Trans R Soc Lond B Biol Sci. 2010 Aug 27;365(1552):2487–94.,4444 Easterbrook P, Smith M, Mullen J, O’Shea S, Chrystie I, de Ruiter A, et al. Impact of HIV-1 viral subtype on disease progression and response to antiretroviral therapy. J Int AIDS Soc. 2010 Feb 3;13:4. DOI: 10.1186/1758-2652-13-4.
https://doi.org/10.1186/1758-2652-13-4...
] HIV genetic variability,[4545 Araujo AF, Brites C, Monteiro-Cunha J, Santos LA, Galvao-Castro B, Alcântara L. Lower prevalence of human immunodeficiency virus type 1 Brazilian subtype B found in Northeastern Brazil with slower progression to AIDS. AIDS Res Hum Retroviruses 2010;26(11):1249–54.,4646 Manak M, Sina S, Anekella B, Hewlett I, Sanders-Buell E, Ragupathy V, et al. Pilot Studies for Development of an HIV Subtype Panel for Surveillance of Global Diversity. AIDS Res Hum Retroviruses. 2012 Jun;28(6):594–606.] characteristics of the viral strain (deletions in the nef gene),[4040 Goetz MB, Leduc R, Kostman JR, Labriola AM, Lie Y, Weidler J, et al. Relationship between HIV coreceptor tropism and disease progression in persons with untreated chronic HIV infection. J Acquir Immune Defic Syndr. 2009 Mar 1;50(3):259–66.] and its replication ability,[4747 Daar ES, Kesler KL, Wrin T, Petropoulo CJ, Bates M, Lail A, et al. HIV-1 pol replication capacity predicts disease progression. AIDS. 2005 Jun 10;19(9):871–7.] all of which could influence rapidity of AIDS progression. That is, both genetic and viral factors (of which viral subtype is only one) can be influential.

CONCLUSIONS

This study furthered understanding of HIV molecular epidemiology in Cuba and provided the National STI–HIV/AIDS Program with information on circulating viral variants and their behavior in the seropositive population, important for managing the epidemic, which shows high variability. The study also demonstrated subtypes and recombinant forms introduced into Cuba from several countries in a high percentage of the Cuban seropositive population and both B and non-B subtypes and recombinant forms found throughout the country. Findings suggest that HIV-1 B and non-B subtypes in Cuba do not differ in transmissibility; the question of clinical disease progression by subtype requires further research. Although HIV-1 prevalence in Cuba is low, its high genetic diversity creates a complex scenario for setting national strategies, surveillance of antiretroviral drug resistance, and use of future vaccines.

REFERENCES

  • 1
    United Nations. UNAIDS Global Report, UNAIDS Report on the global AIDS Epidemic, 2013 [Internet]. New York: United Nations; 2013 [cited 2013 Jan 11]. Available from: http://www.unaids.org/en/dataanalysis/knowyourresponse/country progressreports/2013countries/CUB_narrati vereport_2013
    » http://www.unaids.org/en/dataanalysis/knowyourresponse/country progressreports/2013countries/CUB_narrati vereport_2013
  • 2
    Kijak GH, McCutchan FE. HIV diversity, molecular epidemiology and the role of recombination. Curr Infect Dis. 2005 Nov;7(6):480–8.
  • 3
    Plantier JC, Leoz M, Dickerson JE, De Oliveira F, Cordonnier F, Lemée V, et al. A new human immunodeficiency virus derived from gorillas. Nat Med. 2009 Aug;15(8):871–2.
  • 4
    NÁjera R, Delgado E, Pérez L, Thomson M. El papel de la recombinación genética en el desrrollo de la pandemia del sida. Investig Clín Farm. 2005;2(1):9–22. Spanish.
  • 5
    Requejo HI. Worldwide molecular epidemiology of HIV. Rev Saude Publica. 2006 Apr;40(2):331–45.
  • 6
    Diaz HM, Lubian AL, Blanco M, Rolo F, Martinez N, Nibot C. Transmissibility and disease progression in group of individuals infected with different HIV-1 subtypes in Cuba. Proceedings of the 15th International AIDS Conference; 2004 Jul 11-15; Bangkok, Thailand. Bangkok: MEDIMOND International S.r.l. Monduzzi editore; 2004. ISBN 88-7587-065-9.
  • 7
    Rolo FM, Miranda L, Wainberg MA, Gu Z, Lobaina L, Noa E, et al. Envelope V3 region sequences of Cuban HIV-1 isolates. J Acquir Immune Defic Syndr Hum Retrovirol. 1995 Jun 1;9(2):123–5.
  • 8
    Gómez CE, Iglesias E, Perdomo W, Rolo F, Blanco M, Lobaina L, et al. Isolates from four different HIV type 1 clades circulating in Cuba. Identified by DNA sequence of the C2-V3 region. AIDS Res Hum Retroviruses. 2001 Jan 1;17(1):55–8.
  • 9
    Cuevas MT, Ruibal I, Villahermosa ML, Diaz HM, Delgado E, Parga EV, et al. High HIV-1 genetic diversity in Cuba. AIDS 2002 Aug;16(12):1643–53.
  • 10
    Pérez L, Thomson M, Bleda MJ. HIV Type 1 Molecular Epidemiology in Cuba: High Genetic Diversity, Frequent Mosaicism, and Recent Expansion of BG Intersubtype Recombinant Forms. AIDS Res Hum Retroviruses 2006; 22 (8):724–33.
  • 11
    Resik S, Lemey P, Ping LH, Kouri V, Joanes J, Pérez J, et al. Limitations to contact tracing and phylogenetic analysis in establishing HIV type 1 transmission networks in Cuba. AIDS Res Hum Retroviruses. 2007 Mar;23(3):347–56.
  • 12
    Pérez L, Alvarez LP, Carmona R, Aragonés C, Delgado E, Thomson MM, et al. Genotypic resistance to antiretroviral drug in patients infected with several HIV type 1 genetic forms in Cuba. AIDS Res Hum Retroviruses. 2007 Mar;23(3):407–14.
  • 13
    Machado LY, Blanco M, Dubed M, Diaz HM, Ruiz NM, VÁldes N, et al. HIV type 1 genetic diversity in newly diagnosed Cuban patients. AIDS Res Hum Retroviruses. 2012 Aug;28(8):956–60.
  • 14
    Machado LY, Dubed M, Diaz H, Ruiz N, Romay D, VÁldes N, et al. Transmitted HIV type 1 drug resistance in newly diagnosed Cuban patients. AIDS Res Hum Retroviruses. 2013 Feb;29(2):411–4.
  • 15
    Kanki PJ, Peeters M, Guéye-Ndiaye A. Virology of HIV-1 and HIV-2: implications for Africa. AIDS. 1997;11 Suppl B:S33–42.
  • 16
    Rosner B, Rosner R. Fundamentals of biostatistics. 5th ed. Massachusetts: Duxbury Press; 1999.
  • 17
    Boyum A. Isolation of mononuclear cells and granulocytes from human blood. Isolation of monuclear cells by one centrifugation, and granulocytes by combining centrifugation and sedimentation at 1 g. Scand J Clin Lab Invest Suppl. 1968;97:77–89.
  • 18
    Jackson DP, Hayden JD, Quirke P. Extraction of nucleic acid from fresh and archival material. In: McPherson MJ, Quirke P, Taylor GR, editors. PCR: A Practical Approach Series. Oxford: IRL Press; 1991. 280 p.
  • 19
    Powell RL, Urbanski MM, Nyambi PN. A heteroduplex assay for the rapid detection of dual Human Immunodeficiency Virus Type 1 infections. J Virol Methods. 2008 Apr;149(1):20–7.
  • 20
    Manigart O, Boeras DI, Karita E, Hawkins PA, Vwalika C, Makombe N, et al. A gp41-based heteroduplex mobility assay provides rapid and accurate assessment of intrasubtype epidemiological linkage in HIV type 1 heterosexual transmission pairs. AIDS Res Hum Retroviruses. 2012 Dec;28(12):1745–55.
  • 21
    Heyndrickx L, Janssens W, Zekeng L, Musonda R, Anagonou S, Van der Auwera G, et al. Simplified strategy for detection of recombinant human immunodeficiency virus type 1 group M isolates by gag/env heteroduplexmobility assay. Study Group on Heterogeneity of HIV Epidemics in African Cities. J Virol. 2000 Jan;74(1):363–70.
  • 22
    Thomson M, Casado G, Posada D, Sierra M, NÁjera R. Identification of novel complex circulating recombinant form (CRF18_cpx) of Central African origin in Cuba. AIDS. 2005 Jul 22;19(11):1155–63.
  • 23
    Quarleri JF, Rubio A, Carobene M, Turk G, Vignoles M, Harrigan RP, et al. HIV type 1 BF recombinant strains exhibit different pol gene mosaic patterns: descriptive analysis from 284 patients under treatment failure. AIDS Res Hum Retroviruses. 2004 Oct;20(10):1100–7.
  • 24
    Los Álamos National Laboratory database [Internet]. Los Álamos: Los Álamos National Laboratory (US); c2006–2009. HIV Databases; [updated 2015 Jun; cited 2013 Jan 11]. Available from: www.hiv.lanl.gov
    » www.hiv.lanl.gov
  • 25
    Tamura K, Dudley J, Nei M, Kumar S. MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol. 2007 Aug;24(8):1596–9.
  • 26
    Kimura M. A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980 Dec;16(2):111–20.
  • 27
    Aragonés C, Campos JR, Pérez D, Martinez A, Pérez J. SIDATRAT: Informatics to improve HIV/AIDS care. MEDICC Rev. 2012 Oct;14(4):5–9.
  • 28
    Lodi S, Phillips A, Touloumi G, Geskus R, Meyer L, Thiébaut R, et al. Time from human immunodeficiency virus seroconversion to reaching CD4+ cell count thresholds <200, <350, and <500 Cells/mm3: assessment of need following changes in treatment guidelines. Clin Infect Dis. 2011 Oct;53(8):817–25.
  • 29
    Armitage P, Armitage EN, Berry G. Estadistica para la investigación biomédica. 2nd ed. Barcelona: Doyma Press; 1992. Spanish.
  • 30
    Kapaata A, Lyagoba F, Ssemwanga D, Magambo B, Nanyonjo M, Levin J, et al. HIV-1 subtype distribution trends and evidence of transmission clusters among incident cases in a rural clinical cohort in southwest Uganda, 2004-2010. AIDS Res Hum Retroviruses. 2013 Mar;29(3):520–7.
  • 31
    Huang A, Hogan JW, Istrail S, Delong A, Katzenstein DA, Kantor R. Global analysis of sequence diversity within HIV-1 subtypes across geographic region. Future Virol. 2012 May;7(5):505–17.
  • 32
    Kouyos RD, von Wyl V, Yerly S, Böni J, Taffé P, Shah C, et al. Molecular epidemiology reveals long-term changes in HIV type 1 subtype B transmission in Switzerland. J Infect Dis. 2010 May 15;201(10):1488–97.
  • 33
    Jennes W, Kyongo J , Vanhommerig E, Camara E, Coppens S, Seydi M. Molecular Epidemiology of HIV-1 Transmission in a Cohort of HIV-1 Concordant Heterosexual Couples from Dakar, Senegal. PLoS One 2012;7(5):e37402. DOI:10.1371/journal.pone.0037402
    » https://doi.org/10.1371/journal.pone.0037402
  • 34
    Yebraa G, de Mulder M, Martin L, Pérez-Cachafeiro S, Rodriguez C, Labarga P, et al. Sensitivity of seven HIV subtyping tools differs among subtypes/recombinants in the Spanish cohort of naïve HIV-infected patients (CoRIS). Antiviral Res. 2011 Jan;89(1):19-25.
  • 35
    Ssemwanga D, Nsubuga RN, Mayanja BN, Lyagoba F, Magambo B, Yirrell D, et al. Effect of HIV-1 subtypes on disease progression in rural Uganda: a prospective clinical cohort study. PLoS One. 2013 Aug 12;8(8):e71768. DOI: 10.1371/journal.pone.0071768.
    » https://doi.org/10.1371/journal.pone.0071768
  • 36
    Gorry C. Cuba’s National HIV/AIDS Program. MEDICC Rev. 2011 Apr;13(2):5-8.
  • 37
    Zhang X, Wang C, Hengwei W, Li X, Li D, Ruan Y, et al. Risk factors of HIV infection and prevalence of co-infections among men who have sex with men in Beijing, China. AIDS. 2007 Dec;21 Suppl 8:S53–7.
  • 38
    Chun HM, Carpenter RJ, Macalino GE, CrumCianflone NF. The role of sexually transmitted infections in HIV-1 progression: a comprehensive review of the literature. J Sexually Transmitted Dis [Internet]. 2013 [cited 2014 Feb 15]; [about 16 p]. Available from: http://downloads.hindawi.com/journals/jstd/2013/176459.pdf
    » http://downloads.hindawi.com/journals/jstd/2013/176459.pdf
  • 39
    Keller M, Lu Y, Lalonde R, Klein M. Slower clinical progression in antiretroviral-naïve African immigrants compared to Haitian and Canadian patients in a universal health care system. In: Program and abstracts of the 15th Conference on Retroviruses and Opportunistic Infections; 2008 Feb 3-6; Boston, Massachusetts. Abstract 528.
  • 40
    Goetz MB, Leduc R, Kostman JR, Labriola AM, Lie Y, Weidler J, et al. Relationship between HIV coreceptor tropism and disease progression in persons with untreated chronic HIV infection. J Acquir Immune Defic Syndr. 2009 Mar 1;50(3):259–66.
  • 41
    Castro-Nallar E, Crandall K, Pérez-Losada M. Genetic diversity and molecular epidemiology of HIV transmission. Future Virol. 2012;7(3):239–52.
  • 42
    Kouyos RD, von Wyl V, Yerly S, Böni J, Rieder P, Joos B, et al. Ambiguous nucleotide calls from population-based sequencing of HIV-1 are a marker for viral diversity and the age of infection. Clin Infect Dis. 2011 Feb 15;52(4):532–9.
  • 43
    Sharp PM, Hahn B. The evolution of HIV-1 and the origin of AIDS. Philos Trans R Soc Lond B Biol Sci. 2010 Aug 27;365(1552):2487–94.
  • 44
    Easterbrook P, Smith M, Mullen J, O’Shea S, Chrystie I, de Ruiter A, et al. Impact of HIV-1 viral subtype on disease progression and response to antiretroviral therapy. J Int AIDS Soc. 2010 Feb 3;13:4. DOI: 10.1186/1758-2652-13-4.
    » https://doi.org/10.1186/1758-2652-13-4
  • 45
    Araujo AF, Brites C, Monteiro-Cunha J, Santos LA, Galvao-Castro B, Alcântara L. Lower prevalence of human immunodeficiency virus type 1 Brazilian subtype B found in Northeastern Brazil with slower progression to AIDS. AIDS Res Hum Retroviruses 2010;26(11):1249–54.
  • 46
    Manak M, Sina S, Anekella B, Hewlett I, Sanders-Buell E, Ragupathy V, et al. Pilot Studies for Development of an HIV Subtype Panel for Surveillance of Global Diversity. AIDS Res Hum Retroviruses. 2012 Jun;28(6):594–606.
  • 47
    Daar ES, Kesler KL, Wrin T, Petropoulo CJ, Bates M, Lail A, et al. HIV-1 pol replication capacity predicts disease progression. AIDS. 2005 Jun 10;19(9):871–7.

  • Disclosures: None

Publication Dates

  • Publication in this collection
    Oct 2015

History

  • Received
    22 Nov 2013
  • Accepted
    30 Sept 2015
Medical Education Cooperation with Cuba Oakland - California - United States
E-mail: editors@medicc.org