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1 Increasing HIV-1 Molecular Complexity among MSM in Bangkok
Wanna Leelawiwat a, Wiriya Rutvisuttinuntc, Miguel Arroyoc*, Famui Mueanpaia, Oranuch Kongpechsatit a, Wannee Chonwattana a, Supaporn Chaikummao a, Mark de Souzad, Frits van Griensvena,b, Janet M McNicholla,b, Marcel E Curlina,b
a
Thailand Ministry of Public Health – U.S. Centers for Disease Control and Prevention
Collaboration, Nonthaburi, Thailand; bDivisions of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA; cDepartment of Retrovirology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand; d SEARCH Thailand, Thai Red Cross AIDS Research Center, Bangkok, Thailand *Present address: Miguel A.Arroyo, cDepartment of Pathology and Area Laboratory Services, Dwight David Eisenhower Army Medical Center, Augusta, GA, USA
Running head characters: 37 Running Head: Increasing HIV-1 Molecular Complexity Tables and Figures: 4
Disclaimer: The findings and conclusions in this article are those of the authors and do not necessarily represent the views of the U.S. Centers for Disease Control and Prevention or the official policy of the Department of Army, Department of Defense, or the U.S. Government. The authors have no conflicts of interest to disclose.
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2 Presented in part at: 1. 5th Conference on HIV Pathogenesis Treatment and Prevention, Cape Town, South Africa, July 19-22, 2009. Abstract number CDA053. Title: “High HIV-1 Genetic Complexity in Men Who Have Sex with Men (MSM) in Bangkok, Thailand” 2. 18th International AIDS Conference, Vienna, Austria, July 18-23, 2010. Abstract number WePe0010. Title: “High HIV-1 Genetic Complexity in Men Who Have Sex with Men (MSM) in Bangkok, Thailand” 3. AIDS Vaccine 2011, Bangkok, Thailand, September 12-15, 2011. Abstract number P20.04. Title “Characterization of HIV-1 Subtype Distribution among Thai MSM using MHAbce, a High Throughput Approach for Molecular Epidemiology Studies” 4. 20th Conference on Retroviruses and Opportunistic Infections, Atlanta, GA, USA, March 3-6, 2013. Abstract number I-120. Title “HIV-1 subtype and disease progression in seroincident HIV infections among MSM in Thailand”
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3 Abstract: Background: In Thailand, new HIV-1 infections are largely concentrated in certain risk groups such as men who have sex with men (MSM), where annual incidence may be as high as 12% per year. The paucity of information on the molecular epidemiology of HIV-1 in Thai MSM limits progress in understanding the epidemic and developing new prevention methods. We evaluated HIV-1 subtypes in seroincident and seroprevalent HIV-1 infected men enrolled in the Bangkok MSM Cohort Study (BMCS) between 2006 and 2011. Methods: We characterized HIV-1 subtype in 231 seroprevalent and 194 seroincident subjects using the multihybridization assay (MHA). Apparent dual infections, recombinant strains, and isolates found to be non-typeable by MHA were further characterized by targeted genomic sequencing. Results: Most subjects were infected with HIV-1 CRF01_AE (82%), followed by infections with recombinants (11%, primarily CRF01_AE/B recombinants), subtype B (5%), and dual infections (2%). More than 11 distinct chimeric patterns were observed among CRF01B_AE/B recombinants, most involving recombination within integrase. A significant increase in the proportion of non-typeable strains was observed among seroincident MSM between 2006 and 2011. Conclusion: CRF01_AE and subtype B were the most and least common infecting strains, respectively. The predominance of CRF01_AE among HIV-1 infections in Thai MSM participating in the BMCS parallels trends observed in Thai heterosexuals and injecting drug users. The presence of complex recombinants, and a significant rise in non-typeable strains suggest ongoing changes in the genetic makeup of the HIV-1 epidemic in Thailand, which may pose challenges for HIV-1 prevention efforts and vaccine development.
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4
Word count: 250
Key words: Men who have sex with men (MSM), HIV-1, subtype, Molecular, Epidemiology,
Thailand.
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5 1
Introduction
2
Despite significant progress in curbing the expansion of the HIV-1 epidemic on a global level 1,
3
men who have sex with men (MSM) continue to be disproportionately affected by HIV-1
4
infection in the majority of industrialized nations, and middle and lower income countries 2-5. In
5
several regions of Asia, the HIV-1 prevalence among MSM has more than doubled between
6
2006 and 2011 5-7. In Thailand, high HIV-1 prevalence and incidence continue to be reported in
7
this population, and it is estimated that approximately 30% of new infections occur in
8
predominantly young MSM 8-11. The latter group appears to be at particularly high risk of HIV-1
9
acquisition, with rates as high as 12.2 per 100 person-years as reported recently among 15-21
10
year old MSM who came in for HIV voluntary testing and counseling in Bangkok 9, 12.
11 12
Because of variability of the HIV-1 genome, the distribution of viral genetic polymorphisms may
13
vary significantly between different geographical regions, and between different risk groups
14
within the same area. This may reflect founding viral strains at the time of introduction,
15
diversification over time, and behavioral factors determining cross-exposure between risk groups
16
13-16
17
for the development of effective HIV-1 prophylactic vaccines 14, 15, 17 designed to elicit cytotoxic
18
T lymphocyte responses to relevant epitopes 18-21, or antibodies capable of neutralizing a broad
19
range of possible infecting viruses 22-24. Molecular epidemiological studies are an important tool
20
to understanding patterns of transmission from region to region, defining transmission pathways
21
between groups and individuals, and guiding development of interventions capable of eliciting
22
protective adaptive immune responses.
23
. Knowledge of circulating HIV-1 viral strains and subtypes is also considered fundamental
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6 1
Despite the potentially informative nature of viral genetic studies, compared to other risk groups
2
in Thailand 25-32, the subtype distribution of HIV-1 strains prevalent among MSM has not been
3
well characterized. Only one previous study identified 99 MSM from among many clients
4
attending an HIV-1 voluntary counseling and testing clinic in Bangkok 33. While limited due to
5
its cross-sectional nature and possible inclusion of repeat-clients, the authors found a higher
6
prevalence of non-CRF01_AE infections in MSM compared to other risk groups. The data also
7
suggested that some MSM may have had dual infection, but this was not definitively evaluated
8
using gene sequencing methods.
9 10
Given the increasing importance of HIV-1 transmission among MSM in sustaining the overall
11
HIV-1 epidemic in Thailand and on a global level, it is vital to develop a clear picture of the
12
molecular epidemiology of HIV-1 infection in MSM, and understand the significance of regional
13
and temporal trends in this group. Though typically more resource-intensive and challenging to
14
implement, cohort studies distinguish themselves from cross-sectional studies in providing an
15
opportunity to evaluate HIV-1 genetic epidemiology in a well-characterized population over
16
time. We previously established an MSM cohort study in Bangkok, Thailand 9. Enrollment began
17
in 2006 and accrued 1744 participants. Over 5 years of follow-up (2006-2011), we documented a
18
high HIV-1 prevalence (22.4%) and incidence (5.9/100 person-years) in this population 9. In this
19
paper, we characterize seroprevalent and seroincident infecting HIV-1 subtypes by multi-region
20
hybridization assay (MHAbce) in this cohort. We further evaluate possible dual and recombinant
21
infections by gene sequencing, and present trends over time among sero-prevalent and
22
seroincident cases over five years of follow-up.
23
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7 1
Methods
2
Study subjects and specimen collection
3
Screening and enrollment of participants in the Bangkok MSM Cohort Study (BMCS) was
4
conducted from April 2006 to January 2008 (period 1), and from September 2009 to November
5
2010 (period 2) 9. The present viral diversity study includes seroprevalent study subjects
6
enrolled during period 1, and seroincident study subjects identified during follow-up of men
7
enrolled during both periods until December 2011. Oral fluid, EDTA whole blood, and citrate
8
plasma were collected from all participants at baseline and follow-up visits every four months.
9
Blood specimens for MHA, CD4, and HIV-1 RNA viral load were collected at the time of
10
enrollment from seroprevalent study subjects, and from seroincident study subjects on the date of
11
the first HIV-1 seropositive test or shortly thereafter.
12 13
Ethical Review
14
The protocol of this study was reviewed and approved by the Thailand Ministry of Public Health
15
Ethical Review Committee for Human Subjects Research, the Institutional Review Board of the
16
U.S. Centers for Disease Control and Prevention, and the Human Subject Research Review
17
Board of the U.S. Army Medical Research and Materiel Command. Informed consent was
18
obtained from all participants prior to enrollment in the study.
19 20
HIV-1 Testing
21
Subjects were screened for the presence of HIV-1 antibodies in oral fluid (OraQuick, Orasure
22
Technologies, USA) at enrollment and every four months thereafter. HIV-1 reactive oral fluid
23
tests were confirmed in blood using three consecutive HIV-1 rapid tests in accordance with Thai
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National Guidelines for rapid HIV testing (Determine, Abbott, USA; DoubleCheck, Orgenics
2
Ltd., Israel, or SD Bioline, Standard Diagnostics, Inc, Korea; and Capillus HIV-1/2, Trinity
3
Biotech, USA, or HIV1/2 Core, Core Diagnostic, UK) 9. From February 2010 onwards, plasma
4
samples from volunteers testing non-reactive on oral fluid were evaluated for acute HIV-1
5
infection using 4th generation EIA (AxSym HIV 1/2 Ag/Ab Combo, Abbott, USA) and NAT
6
(Aptima Genprobe, USA). Study subjects were considered seroprevalent if determined HIV-1
7
infected at the time of enrollment, and seroincident if found HIV-1 infected during follow-up.
8 9
CD4+ cell count and plasma HIV-1 RNA viral load determination
10
CD4+ cell count was performed on EDTA whole blood by single platform volumetric flow
11
cytometry (Guava Easy CD4, Millipore, USA). HIV-1 RNA was quantified in plasma using
12
COBAS TaqMan HIV-1 version 1.0 (Roche Molecular Systems, USA). The lower limit of
13
detection was 47 copies/mL. Plasma without HIV-1 RNA detected was recorded as 0 copy/mL.
14 15
HIV-1 Genotyping by MHA
16
HIV-1 RNA was extracted from 200 µL of plasma using the QIAamp Viral RNA Mini Kit
17
(Qiagen, USA). HIV-1 negative samples and water were used as negative controls, and
18
previously characterized HIV-1 positive samples were used as positive controls. HIV-1
19
genotyping was performed by multi-region hybridization (MHAbce version 2), optimized for the
20
detection of HIV-1 subtype B (referred to as Western B strain), subtype C and CRF01_AE 34,
21
using an ABI HT 7900 real-time PCR machine (Applied Biosystems, USA). Classification of
22
circulating HIV-1 subtypes by MHAbce was identified according to established criteria 33. A
23
genotype was assigned when probe hybridization occurred in at least four of eight genomic
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regions: 1) a single subtype (B, C, or CRF01_AE) was assigned when all hybridizing probes
2
were of the same subtype; 2) recombinant forms (BE, BC, CE, or BCE) were assigned when two
3
or more different subtype probes hybridized in different regions of the genome; and 3) infection
4
with multiple subtypes (for example putative dual infection) was tentatively assigned when
5
probes of two or more different subtypes hybridized in the same genome region (more than 1
6
subtype/region). We defined a strain as “non-typeable (NT)” when there was probe reactivity
7
and/or sequence information in fewer than four genomic regions, and “non-amplifiable (NA)”
8
when there was no evidence of PCR amplicons as determined by SyberGreen, a fluorescent dye
9
staining double-stranded DNA.
10 11
All putative multiple infections identified by MHAbce were confirmed by cloning of PCR-
12
amplified nucleic acids, followed by repeated MHAbce on individual clones. Briefly, PCR
13
amplicons corresponding to regions showing dual probe reactivity in MHAbce were ligated into
14
TOPO vector (TOPO TA cloning, Invitrogen, USA) carrying plasmid encoding antibiotic
15
resistance, and then transformed into competent cells. Transformants carrying ligated plasmids
16
were selected on LB plates containing 50 µg/mL Kanamycin and -galactose. Subsequently, 16-
17
32 ligated clones were used for repeated genotyping by MHAbce and for sequencing 35, as
18
specified below.
19 20
Genotyping by targeted genomic sequencing
21
All samples classified as “putative dual infections” and seroincident samples classified as
22
“recombinant” and “non-typeable” by MHAbce were further characterized by targeted genomic
23
sequencing. For apparent dual infections by MHAbce, 2-12 transformed clones were used for
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10 1
sequencing. For samples designated as “recombinant”, amplicons from all gene regions showing
2
possible recombination by MHA were used for bulk sequencing. For samples designated as
3
“non-typeable” by MHAbce, amplified DNA from all gene regions without MHA results were
4
used for bulk sequencing. All sequencing was performed with Big Dye terminators on an ABI
5
3130 Capillary sequencer (Applied Biosystems, USA) as previously described 34. Target gene
6
sequences from the HIV-1, rt, int, tat, gp120, gp41, nef were aligned with reference strains from
7
the Los Alamos HIV-1 database, including representative HIV-1 CRF01_AE, subtype B, subtype
8
C strains and recombinant strains circulating in Thailand and neighboring countries. Alignments
9
were made using Clustal W 36, and manually edited using Genetic Data Environment (GDE 2.4,
10
Rockville, USA) or MacClade 4.08a. Maximum-likelihood phylogenetic analyses were
11
performed using the best-fit model of molecular evolution estimated by Moldeltest using the
12
Akaike Information Criterion (AIC) 37. Phylogenetic trees were reconstructed under the general
13
time reversible model of nucleotide substitution, with proportion of invariable sites and gamma
14
distribution rate heterogeneity (GTR+I+G) using PAUP* 38 within Geneious Pro5.5.6
15
(Biomatters). Bootstrap resampling was performed with 500 replicates. A bootstrap value of
16
>70% was considered to be evidence of monophylogeny39. Confirmed dual infections were
17
defined as the presence of two different sequence subtypes or circulating recombinant forms in
18
one sample.
19 20
Statistical Analyses
21
Differences in median age, CD4+, and viral load between seroprevalent and seroincident study
22
subjects were evaluated with Wilcoxon rank-sum test using SAS version 9.3 (SAS Institute,
23
Cary, NC, USA). We evaluated trends in HIV-1 subtype distributions over time using the chi-
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11 1
square test with StatCalc (Epi Info 7). P-values < 0.05 were considered statistically significant.
2
Non-typeable and non-amplifiable samples were excluded from the denominator in calculations
3
of HIV-1 subtype distributions.
4 5
Results
6
HIV-1 prevalence, incidence, and participant characteristics
7
Of the 1,292 men who enrolled during period 1, 290 (22.4%) tested positive for HIV-1 infection.
8
Of the 1,372 men testing negative for HIV-1 infection at enrollment during periods 1 and 2, 216
9
seroconverted for HIV-1 infection during follow-up until December 2011 (HIV-1 incidence: 5.9
10
per 100 person-years). Blood samples for laboratory testing were collected on the same day of
11
first HIV-1 seropositive testing (61% of all subjects), or as soon as possible thereafter (median
12
duration: 13 days; range 1-487 days). Median CD4 cell count was higher in seroincident men
13
(479; range 5-1,105 cells/µL) than seroprevalent men (424; range 28-1,712 cells/µL; p < 0.05).
14
Median HIV-1 RNA VL was also higher among seroincident men (79,600; range 0-85,600,000
15
copies/mL) than seroprevalent men (43,550; range 0-2,010,000 copies/mL; p < 0.05). There was
16
no significant difference with respect to median age between the two groups of men (26 years;
17
range 18-52 years).
18 19
Performance of MHAbce version 2
20
A total of 278 (95.9%) seroprevalent and 211 (97.7%) seroincident study subjects had samples
21
available for HIV-1 subtyping by MHAbce. Of these 489 samples, 425 (86.9%) were
22
successfully genotyped by MHAbce and sequencing. Among seroprevalent subjects, 83% could
23
be typed, 12% were successfully amplified but HIV-1 subtype could not be assigned (non-
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12 1
typable by MHAbce only), and 5% failed PCR amplification (NA) due to low HIV RNA VL.
2
Among 211 seroincident subjects, 92% could be typed, 6% were non-typeable (by MHAbce and
3
sequencing), and 2% failed PCR amplification (appendix, Table 1).
4 5
HIV-1 subtype distribution, patterns of HIV-1 recombination, and dual infections
6
The distribution of HIV-1 genotypes in seroprevalent and seroincident subjects is described in
7
Table 2. Overall, most MSM (82%) were infected with CRF01_AE. Non-CRF01_AE strains
8
accounted for 18% of infections, among which 11% were recombinants, 5% were subtype B, and
9
2% were dual infections. Recombinant infections were primarily CRF01_AE/B. Using MHAbce,
10
18 putative dual infections were detected. Of these, seven (three among incident infections and
11
four among prevalent infections) were confirmed to be dual infections by phylogenetic analysis
12
of gene sequences (Table 2 and Figure 1). In the remaining 11 cases, which did not meet criteria
13
for dual infections, phylogenies were characterized by relatively long-branch lengths reflecting
14
highly diverse populations (mean genetic diversity = 0.043; range 0.002-0.24; data not shown).
15 16
Among the 43 CRF01_AE/B recombinants identified, eleven distinct patterns of inter-subtype
17
recombination were observed, including eight possible novel forms. Five recombinants involved
18
substitution within the integrase gene (Figure 2) and accounted for the majority (33/43) of
19
recombinations observed. In each case, sequences consisted of a predominant CRF01_AE
20
background with one or more subtype B fragments in integrase with or without recombination in
21
other regions; int only (20/43, 47%), int and nef (2/43, 5%), int and rt (5/43, 12%), int, rt and tat
22
(2/43, 5%), int, rt and gp120 (3/43, 7%), and int, rt, tat and nef (1/43, 2%). The remaining
23
recombinants had subtype B fragments in other regions; rt (5/43, 12%), nef (2/43, 5%), gp120
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(1/43, 2%), gp41 and nef (1/43, 2%), and tat (1/43, 2%). Three recombinants involving subtype
2
C were identified by MHA. In all cases, these consisted of a subtype B background with a
3
subtype C integrase fragment (B/C recombinant), with or without CRF01_AE fragments in p17
4
and gp41 (B/C/CRF01_AE recombinant).
5 6
Trends in HIV-1 subtype distribution during 2006-2011
7
The distribution of identifiable HIV-1 subtypes was similar between seroprevalent and
8
seroincident subjects. CRF01_AE was the most common while subtype B was the least common
9
strain. Among seroprevalent infections, there was no significant temporal trend in subtype
10
distribution from 2006 to 2008 (p >0.05). There was likewise no significant change in subtype
11
distribution over five years of follow-up among seroincident subjects, although in each group
12
there was some fluctuation in strain prevalence from year to year. We noticed a significant rise in
13
the proportion of non-typeable strains among seroincident subjects, from 0% in 2006 to 11% in
14
2011 (p=0.02) (Table 2).
15 16
Discussion
17
Our study is the first to describe the molecular epidemiology of HIV-1 infection among Thai
18
MSM in detail, and to characterize changes in subtype distribution over time. In this study, we
19
report HIV-1 genotypes circulating among MSM in Bangkok from 2006 to 2011. The most
20
common infecting viral strain was CRF01_AE, followed by recombinant involving CRF01_AE,
21
subtype B and subtype C, HIV-1 subtype B, and dual infections. The distribution of viral strains
22
was similar between seroprevalent and seroincident HIV-1 infections in our population. Dual
23
infection was confirmed in 2% of study participants. In this study, we observed several
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previously unreported patterns of recombination between CRF01_AE and HIV-1 subtype B.
2
Lastly, we observed a significant increase in the proportion of non-typeable strains among HIV-1
3
seroincident subjects over the study period.
4 5
HIV-1 molecular genotyping has been conducted in Thai MSM in only one other study 33.
6
Arroyo et al., performed subtyping using MHAbce without confirmatory sequencing on
7
specimens collected from 99 MSM attending HIV voluntary counseling and testing services in
8
Bangkok between 2006 to2007 33. In these MSM, CRF01_AE was identified as the infecting
9
strain in 75%, subtype B in 7%, and CRF01_AE/subtype B recombinants in 15%. The
10
distribution of HIV-1 subtypes found in the present study are consistent with those of Arroyo et
11
al., and provide a robust contemporary confirmation of this pattern in seroprevalent and
12
seroincident MSM over an extensive sampling period. Both studies identified a high proportion
13
of complex recombinant forms, and we note a significant rise in the frequency of non-typeable
14
strains. Sequence analysis in non-typeable study subjects suggests that one reason for failure of
15
MHA to provide subtype classification is increasing divergence within probe binding regions
16
over time (data not shown).
17 18
In the present study, we observed at least eleven distinct intersubtype recombinants. Most of
19
these involved subtype B replacement within integrase on a CRF01_AE background, either
20
alone or in combination with additional replacements within nef, tat, gp120, and rt (Figure 2).
21
One recombinant had pattern similar to CRFs 55 (int, rt) while the others may be new unique
22
recombinant forms (URF). CRF01_AE is a widely circulating strain prevalent in Southeast Asia
23
generally thought to be a complex chimeric virus composed of subtype A and E parental
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subtypes, though this has been questioned 40. The first recombinant between CRF_01AE and
2
subtype B was identified in Thailand in 2003 (CRF15_01B), and was shown to be composed of a
3
predominant CRF01_AE background with an HIV-1 subtype B segment within the viral env
4
gene 41. Several other CRF01/B recombinants have since been noted in Thailand 32, 42 and other
5
parts of South East Asia including CRFs33, 34, 48, 51, 52, 53, and 54
6
(http://www.hiv.lanl.gov/content/sequence/HIV/CRFs/CRFs.html). The new recombinant forms
7
identified here will require further molecular characterization and epidemiologic investigation to
8
be fully classified as specific to the study participant or true CRFs circulating more widely in the
9
Thai HIV epidemic43.
10 11
This analysis offers several strengths over previous studies. Our data were derived from a large
12
and well-characterized longitudinal cohort study, including both seroprevalent and seroincident
13
infections, and we performed targeted viral genetic sequencing in all cases where results could
14
not be unambiguously determined by sequence-specific hybridization methods. This study
15
design eliminates the possibility of confounding due to repeat visits, and allows for robust
16
characterization of epidemiologic trends in our population. However, several limitations should
17
also be considered. The gold standard for characterizing the subtype origins of an individual
18
virus is full-length genomic sequencing but this technique is currently not practical for larger
19
studies. The probe-hybridization approach used here allows for high-throughput analysis but
20
might fail to detect viral strains present at very low frequency, or novel recombinant forms with
21
short recombinant segments falling outside of the genomic regions studied. Although MHAbce
22
has been designed to detect currently recognized viral strains circulating in Asia 34, some
23
specimens may have been misclassified due to non-specific probe binding or failure to classify
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variant B strains. In addition, our study participants may imperfectly represent regional MSM
2
populations due to self-selection leading to overrepresentation of men with characteristics
3
associated with the outcomes studied here. For example, clustered HIV transmission events
4
occurring within relatively closed local sexual networks may increase the apparent prevalence of
5
certain HIV-1 genotypes 44
6 7
During the early HIV-1 epidemic, HIV-1 subtype B’ predominated among IDUs 30, 45 whereas
8
CRF01_AE infection was characteristic among those likely to have been exposed through sexual
9
contact 26, 46. However, more recently an increasing number of infections with CRF01_AE and
10
recombinant forms has been noted in all populations, with an associated decline in the proportion
11
of subtype B infections 27-29, 31, 33, 47. Other reports in the region have suggested similar shifts in
12
favor of CRF01_AE over HIV-1 subtype B. In China, subtype B infections have declined
13
dramatically from 90% in 2006 to only 20% in 2009, with a concomitant rise in the proportion of
14
CRF01_AE from 4% to 50% 48-51. CRF01_AE also appears to have made a recent incursion into
15
Japan, where HIV-1 infection had been nearly uniformly due to HIV-1 subtype B 52. The reasons
16
for this shift are unclear but could be related to subtype-specific differences in viral load during
17
early infection 53or behavior differences between risk groups13. The results obtained in our study
18
suggest a continued trend towards a more complex epidemic with a rising number of
19
recombinant forms and loss of pure subtype B infections. If these trends continue, we may
20
anticipate a mature HIV-1 epidemic in the Asia-Pacific region in which CRF01_AE and complex
21
CRF01_AE /B have displaced subtype B. These shifts will be of significance to efforts to
22
develop regionally effective HIV prophylactic vaccines and other means of mitigating HIV
23
transmission through epitope-specific immune responses.
AIDS Research and Human Retroviruses Increasing HIV-1 Molecular Complexity among MSM in Bangkok (doi: 10.1089/AID.2014.0139) This article has been peer-reviewed and accepted for publication, but has yet to undergo copyediting and proof correction. The final published version may differ from this proof.
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17 1 2
Acknowledgments
3
The authors would like to thank the participants in this study, and acknowledge the support and
4
funding from the U.S. military HIV-1 Research, and the Henry M Jackson Foundation. We also
5
thank Viseth Ngauy, Vatcharin Assawadarachai, Kultida Poltavee, Hathairat Savadsuk, and
6
Suwittra Chaemchuen of the Armed Forces Research Institute of Medical Sciences, Thailand for
7
their support in this study; Sodsai Tovanabutra, Gustavo Kijak, Eric Sander-Buell, Morgane
8
Rolland, and Francine McCutcheon, and Jerome Kim of the US Military HIV Research
9
Program, for their technical and intellectual input; Jaray Tongtoyai, Atittaya Sangiamkittikul,
10
Punneeporn Wasinrapee, Natthaga Sakulploy, Kusuma Auethavoranan, and Wanna Suwanaphan
11
of the Thai MOPH US – CDC Collaboration (TUC) laboratory for processing and testing all the
12
samples; Sarika Pattanasin, Boonyos Raengsakulrach, and Chonticha Kittinunvorakoon for
13
helpful advice; and remaining members of our collaborative study group.
14 15
Author Disclosure Statement
16
No competing financial interests exist
17 18
AIDS Research and Human Retroviruses Increasing HIV-1 Molecular Complexity among MSM in Bangkok (doi: 10.1089/AID.2014.0139) This article has been peer-reviewed and accepted for publication, but has yet to undergo copyediting and proof correction. The final published version may differ from this proof.
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51.
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Wanna Leelawiwat
13
Thailand MOPH – U.S. CDC Collaboration
14
DMSC Building 2, Ministry of Public Health
15
Tivanon Road, Nonthaburi 11000
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THAILAND
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Telephone: + 662 5915444
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Fax: +662 5800696
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Email:
[email protected] 20 21
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Correspondence and Reprint Requests to:
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Table 2 Distribution of HIV-1 Subtypes in MSM in Bangkok, 2006-2011
2
Sampling year
Samples genotyped (No. of typeable samples)a
Subtype detected (Percentage)b
CRF01_AE
B
B/CRF01_ AE RC
B/C or B/C/CRF01_AE RC
NTc
NAc
Dual infections (B/ CRF01_AE)
Seroprevalent samplesd
2006 2007 2008
70 (58) 196 (162) 12 (11)
47 (81%) 130 (80%) 10 (91%)
3 (5%) 7 (4%) 0
6 (10%) 20 (12%) 1 (9%)
1 (2%) 2 (1%) 0
1 (2%) 3 (2%) 0
10 (14%) 2 (3%) 23 (12%) 11 (6%) 1 (8%) 0
Subtotal Trend p-value
278 (231)
187 (81%) 0.86
10 (4%) 0.35
27 (12%) 1.00
3 (1%) 0.31
4 (2%) 0.50
34 (12%) 13 (5%) 0.40 0.90
2 (2) 24 (23) 42 (41) 45 (43) 41 (34) 57 (51)
1 (50%) 21 (91%) 33 (81%) 34 (79%) 26 (76%) 47 (92%)
1 (50%) 0 4 (10%) 3 (7%) 4 (12%) 1 (2%)
0 2 (9%) 3 (7%) 6 (14%) 3 (9%) 2 (4%)
0 0 0 0 0 0
0 0 1 (2%) 0 1 (3%) 1 (2%)
0 0 0 1 (4%) 1 (2%) 0 1 (2%) 1 (2%) 5 (12%) 2 (5%) 6 (11%) 0
211 (194)
162 (84%) 0.44
13 (7%) 0.37
16 (8%) 0.45
0 NA
3 (1%) 0.73
13 (6%) 4 (2%) 0.02 0.56
2006
72 (60)
48 (80%)
4 (6%)
6 (10%)
1 (2%)
1 (2%)
10 (14%) 2 (3%)
2007
220 (185)
151 (82%)
7 (4%)
22 (12%)
2 (1%)
3 (1%)
23 (11%) 12(5%)
2008
54 (52)
43 (83%)
4 (8%)
4 (8%)
0
1 (2%)
2 (4%)
0
2009
45 (43)
34 (79%)
3 (7%)
6 (14%)
0
0
1 (2%)
1 (2%)
2010
41 (34)
26 (76%)
4 (12%)
3 (9%)
0
1 (3%)
5 (12%) 2 (5%)
2011
57 (51)
47 (92%)
1 (2%)
2 (4%)
0
1 (2%)
6 (11%) 0
Seroincident samplesd
2006 2007 2008 2009 2010 2011 Subtotal Trend p-value
All samplesd
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Total
489 (425)
Trend p-value a
349 (82%)
23 (5%)
43 (10%)
0.92
0.21
0.29
3 (1%) 0.12
7 (2%) 0.97
47 (10%) 17 (3%) 0.38
Number 1 of samples genotyped by MHA and number of samples which could be typed. Dual infections
were 2 classified separately from recombinants b
Number 3 and percentage (%) of given HIV-1 subtype (non-typeable and non-amplifiable samples
excluded 4 from denominator) c
NT=Non-typeable 5 samples, NA = Non-amplifiable samples presented by number and percentage (%)
where 6 number of samples genotyped was used as the denominator d
Seroprevalent 7 samples were defined as HIV-positive samples identified at screening; seroincident
samples 8 defined as HIV-positive samples identified after enrollment; all samples included both seroprevalent 9 and seroincident samples 10 11 12 13 14 15 16 17
0.17
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Appendix Table 1 Subtyping of Seroincident and Seroprevalent Infections
3
Samples tested
Seroprevalent 278
Seroincident 211
Total 489
Typed by MHA
227/278 (82%)
158/211 (75%)
385 (79%)
4/278 (1%)
36/211 (17%)
40 (8%)
Amplifiable, nontypeable (NT)
34/278 (12%)
13/211 (6%)
47 (10%)
Non-amplifiable (NA)
13/278 (5%)
4/211 (2%)
17 (3%)
Typed by sequencing after MHAa
4 5 6 7 8 9