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. Author manuscript; available in PMC: 2016 Jun 28.
Published in final edited form as: AIDS. 2015 Nov 28;29(18):2517–2522. doi: 10.1097/QAD.0000000000000852

Molecular analysis allows inference into HIV transmission among young men who have sex with men in the United States

Y Omar WHITESIDE 1, Ruiguang SONG 1, Joel O WERTHEIM 1,2,3, Alexandra M OSTER 1
PMCID: PMC4862399  NIHMSID: NIHMS782888  PMID: 26558547

Abstract

Objective

To understand the spread of HIV among and between age and racial/ethnic groups of men who engage in male-to-male sexual contact (men who have sex with men, MSM) in the United States.

Design

Analysis of HIV-1 pol sequences for MSM collected through the U.S. National HIV Surveillance System (NHSS) during 2001–2012.

Methods

Pairwise genetic distance was calculated to determine potential transmission partners (those with very closely related nucleotide sequences, i.e., distance ≤1.5%). We described race/ethnicity and age of potential transmission partners of MSM.

Results

Of 23,048 MSM with HIV sequences submitted to NHSS during 2000–2012, we identified potential transmission partners for 8,880 (39%). Most potential transmission partners were of the same race/ethnicity (78% for blacks/African Americans, 64% for whites, and 49% for Hispanics/Latinos). This assortative mixing was even more pronounced in the youngest age groups. Significantly fewer young black/African American and Hispanic/Latino MSM had older potential transmission partners compared with young white MSM.

Conclusion

Black/African American MSM, who are more profoundly affected by HIV, were more likely to have potential HIV transmission partners who were of the same race/ethnicity and similar in age, suggesting that disparities in HIV infections are in large part not due to age-disassortative relationships. Concerted efforts to increase access to pre-exposure prophylaxis, quality HIV care, and effective treatment are needed to interrupt transmission chains among young, black/African American MSM.

Keywords: HIV, homosexuality, male, transmission, African Americans, Hispanic Americans, adolescent, young adult

INTRODUCTION

In the United States, persons with HIV infection attributed to male-to-male sexual contact (men who have sex with men; MSM) account for nearly two-thirds of HIV diagnoses [1]. Young MSM, particularly those who are black/African American or Hispanic/Latino, bear a disproportionate burden of HIV infections.

A common hypothesis explaining the high number of HIV infections in young MSM is sex with older partners, who are more likely to have HIV infection [2-8]. The selection of an older sexual partner has been found to be significantly associated with HIV infection among samples of young MSM in North Carolina and Mississippi [8,9].

Understanding the characteristics of HIV transmission among subpopulations of young MSM provides insight into disparities. Sexual network mixing patterns, such as age and racial/ethnic assortativity (preferential connections between persons with similar characteristics) or dissassortativity (preferential connections between persons with different characteristics), may contribute to elevated risk for HIV infection among young, black/African American and Hispanic/Latino MSM by exposing them to a pool of partners with higher HIV prevalence. Previous research examining the role of age and racial dynamics in the sexual networks of young MSM relied on small sample sizes [2,3,4,5,7,8] or survey data [4,8]. Whereas survey data can provide information about social and sexual networks, identifying genetically highly similar HIV sequences can allow us to infer HIV transmission networks and describe transmission between the persons within these networks [10-19]. In an effort to better understand the role that age and race/ethnicity of sexual partners may play in HIV acquisition for young MSM, we used HIV sequence data reported to U.S. National HIV Surveillance System (NHSS) to investigate HIV transmission dynamics for young MSM.

METHODS

Sources of Sequence Data

HIV-1 pol region sequences (protease and partial reverse transcriptase) reported through NHSS during 2001–2012 were used for the analysis. These sequences were collected in 21 U.S. states and the District of Columbia [20, 21]. Data collection methods have been previously described in detail [21]. Briefly, through mid-2011, Sanger sequencing was performed by a centralized CDC-funded laboratory. From mid-2011 through 2012, sequence data generated from genotypic drug resistance testing conducted as part of routine HIV care were instead collected by participating jurisdictions from commercial, private, and public laboratories.

Inclusion Criteria

The analysis was limited to men aged ≥13 years at HIV diagnosis with reported risk factor information categorizing them as MSM (i.e., with HIV infection attributed to male-to-male sexual contact) or MSM who also injected drugs (MSM/IDU). Persons with missing risk information were excluded from the analysis. We included only one sequence per person; when more than one sequence was available, we selected the longest sequence. Sequences less than 500 nucleotides in length were excluded, because the transmission network approach has not been validated for very short sequences [18].

Transmission Network Analysis

We used a local version of HIV-TRACE (hivtrace.org), following the protocol outlined by Wertheim et al [18, 21] for transmission network construction. Each sequence was aligned to an HIV reference sequence (HXB2, positions 2253 to 2869). We then conducted pairwise comparison of all sequences. Tamura-Nei 93 genetic distance ≤1.5% was considered evidence of possible linkage; those meeting this criterion were considered potential transmission partners.

Measures

Data on age, sex, race/ethnicity, transmission category, and area of residence at diagnosis were collected through the NHSS using standard CDC classification schemes. Age differences were calculated using differences in year of birth. Race/ethnicity was categorized as white; black or African American; Hispanic or Latino; or other (including American Indian/Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, and multiple races). U.S. census regions included Northeast, Midwest, South, and West [1].

Analysis of Race/Ethnicity and Age of Potential Transmission Partners

We analyzed the transmission network to understand the race/ethnicity and age of potential transmission partners. In many cases, one person had more than one potential transmission partner identified. We assumed that each person acquired HIV from only one person. Therefore, each potential transmission partner for a given person was assigned a weight based on k (the number of potential transmission partners associated with the person). The weight was simply 1/k for each of the k links.

For each racial/ethnic group, we described the race/ethnicity of potential transmission partners, both overall and by age group. We then calculated the percentage of MSM aged 13–24 years at diagnosis who had potential transmission partners who were more than 5 years older, stratified by race/ethnicity, U.S. census region, transmission category (MSM vs. MSM/IDU), age at diagnosis, and potential transmission partner’s race/ethnicity (same vs. different). We used multivariable logistic regression including all of these variables and controlled for year of diagnosis. We calculated adjusted prevalence ratios (APRs) and 95% confidence intervals (CIs) to compare the proportion with potential transmission partners who were more than 5 years older.

RESULTS

There were 23,048 MSM with HIV sequences that met the inclusion criteria. Of these MSM, 36% were black/African American, 35% were white, and 24% were Hispanic/Latino; 6% were aged 13–19 years and 21% aged 20–24 years when diagnosed with HIV. Few (6%) men included were MSM/IDU. We identified potential transmission partners for 8,880 (39%) MSM.

Most MSM had potential transmission partners of their race/ethnicity (Figure 1); however, the extent of this assortative mixing varied by race/ethnicity (i.e., 78% for blacks/African Americans, 64% for whites, and 49% for Hispanics/Latinos). The proportion of blacks/African Americans and Hispanics/Latinos with potential transmission partners of the same race/ethnicity was even higher for MSM aged 13–19 years and aged 20–24 years (Figure 1).

Figure 1. Estimated proportion of potential transmission partners of different racial/ethnic groups, 2001–2012—21 U.S. states and the District of Columbia.

Figure 1

Bar chart depicts the proportion of potential HIV transmission partners of men who have sex with men from different racial/ethnic groups for any age at HIV diagnosis and for those 13-19 years and 20-24 years of age, by race/ethnicity.

Of the 3,322 MSM aged 13–24 years, 1,186 (35.7%) had a potential transmission partner that was more than 5 years older (Table 2). Multivariable modeling showed that having a potential transmission partner that was older was less common for black/African MSM (APR=0.65; CI=0.57–0.73) and Hispanics/Latino MSM (APR=0.86; CI=0.77–0.97) compared with white MSM. The likelihood of having an older potential transmission partner was also associated with age, region, and potential transmission partner race/ethnicity.

Table 2.

Estimated percentage of infections from older partners among men who have sex with men who are aged 13–24 years at HIV diagnosis, 2001–2012—21 U.S. states and the District of Columbia.

Number
of
Young
MSM
Number
Linked
with
Older
Partner
Percentage Linked with
Older Partner
Unadjusted Adjusted



% 95% CI PR 95% CI PR 95% CI
Race/ethnicity
 Black/African 1,862 520 27.9 (26.0-30.0) 0.58 (0.52-0.65) 0.65 (0.57-0.73)
 American
 Hispanic/Latino 677 296 43.7 (40.2-47.7) 0.91 (0.81-1.03) 0.86 (0.77-0.97)
 Other 107 46 43.0 (35.0-53.9) 0.90 (0.72-1.14) 0.82 (0.65-1.03)
 White 676 324 47.9 (44.2-51.8) Ref Ref
Region
 Northeast 668 260 38.9 (35.4-42.8) 1.21 (1.04-1.39) 1.04 (0.90-1.21)
 South 1,301 392 30.2 (27.8-32.8) 0.94 (0.82-1.07) 0.96 (0.84-1.10)
 West 638 303 47.5 (43.8-51.6) 1.47 (1.29-1.68) 1.23 (1.07-1.41)
 Midwest 713 230 32.3 (29.1-35.9) Ref Ref
Transmission
category
 MSM & IDU 111 53 47.7 (39.0-57.7) 1.35 (1.10-1.64) 1.11 (0.92-1.34)
 MSM only 3,211 11,333 35.3 (33.7-37.0) Ref Ref
Age at diagnosis
 20-24 2,507 851 33.9 (32.2-35.9) 0.83 (0.75-0.91) 0.72 (0.66-0.79)
 13-19 815 335 41.1 (37.8-44.6) Ref Ref
Partner‘s race
 Different 978 447 45.7 (42.7-49.0) 1.45 (1.33-1.59) 1.25 (1.14-1.38)
 Same 2,344 739 31.5 (29.7-33.5) Ref Ref
Total 3,322 1186 35.7

The multivariable model included all variables listed and also controlled for year of diagnosis.

DISCUSSION

We found that, as has been documented for HIV transmission overall in the United States [21], HIV transmission among MSM was highly assortative by race/ethnicity. Racial/ethnic-assortative mixing was especially evident for black/African American MSM. We found that disassortativity by age varied by race/ethnicity, as young black/African American and Hispanic/Latino MSM were significantly less likely to have potential transmission partners more than 5 years older compared with young white MSM.

These results indicate that most black/African American MSM are acquiring HIV from other black/African American MSM, which may be the result of two related factors. First, the sexual networks of black/African American MSM are more likely to be exclusively or predominantly other black/African American MSM [4,9,22-25]. Second, because black/African American MSM may have higher levels of HIV prevalence and incidence and lower levels of HIV care and viral suppression than other MSM, black/African American MSM may be at increased risk for HIV transmission with their black/African American partners than with other partners [26-28].

We found that Hispanic/Latino MSM, for whom approximately half of potential transmission partners were Hispanic/Latino, had lower assortativity by race/ethnicity than black/African American and white MSM. As a result, HIV infections among Hispanic/Latino MSM may originate from a variety of subgroups of MSM. Efforts to reduce HIV acquisition among Hispanic/Latino MSM may need to be delivered broadly, as interventions directed solely at HIV-infected Hispanic/Latino MSM may not sufficiently interrupt acquisition among Hispanic/Latino MSM.

Our findings regarding mixing of different age groups in HIV transmission varied by racial/ethnic group. We found that young black/African American and Hispanic/Latino MSM were less likely to have older potential transmission partners than young white MSM. This observation suggests that those young white MSM who became infected with HIV were more commonly infected through an age-disassortative relationship. Due to increased HIV incidence and prevalence, first introduced through sexual relationships with older MSM, sex between young black/African American and Hispanic/Latino MSM and their peers may carry higher risk for HIV infection beyond that experienced by young white MSM. These results may begin to explain why young black/African American and Hispanic/Latino MSM acquire HIV at higher numbers than young whites [29].

These findings have implications for prevention. We found that young black/African American and Hispanic/Latino MSM are largely acquiring HIV from other young and minority MSM, who have been demonstrated to be less commonly engaged in HIV care and virally suppressed [27]. Focused efforts to increase access to and consistent engagement in HIV care among black/African American and Hispanic/Latino MSM may help to decrease HIV transmission in this group [27]. In addition, increasing efforts to make black/African American MSM and Hispanic/Latino MSM aware of the benefits of pre-exposure prophylaxis (PrEP) and increasing consistent use of PrEP in these communities could substantially decrease HIV acquisition [30]. These targeted HIV prevention interventions should address the unique risks for HIV infection for young black/African American and Hispanic/Latino MSM.

This study is the first to use HIV nucleotide sequence data from NHSS to explore HIV transmission networks among MSM. The availability of these data enabled us to identify potential transmission links between MSM, explore transmission networks instead of sexual networks, and prevent problems associated with recall bias [4,23,24,31-33].

Despite its strengths, this study also has limitations. First, although we identified potential transmission partners, we could not draw a definitive link between any two individuals. Nonetheless, we were still able to draw inferences from the indirect links. Second, although we are not able to establish directionality of transmission from these data, evidence indicates that older MSM have higher HIV prevalence, and we can therefore infer that the majority of these links likely represent transmissions from older MSM to younger MSM. Third, we limited our sample to men whose transmission category was either MSM or MSM/IDU. Men who acquired HIV through male-to-male sexual contact but whose records were missing the information needed to categorize them as such were excluded; we estimate that the persons excluded represent a small portion (<15%) of MSM. Finally, we only had HIV-1 sequences from 21 US states and the District of Columbia. Differences in data completeness and other characteristics from these 21 areas may preclude them from being representative of the rest of the country.

The use of molecular HIV surveillance data provided us an opportunity to make inferences about the spread of HIV among young MSM. Our results indicate that racial/ethnic and age assortativity vary by race/ethnicity and are important factors in HIV acquisition and transmission among young MSM. Molecular transmission network analysis is an important tool than can be used to help understand disparities in HIV infection. The insight acquired from this analysis can be used to focus efforts to increase access to and consistent engagement in HIV care and treatment among young MSM.

Acknowledgments

We acknowledge the local and state health department staff instrumental in collecting HIV sequence and other surveillance data. We also acknowledge Angela Hernandez, M. Cheryl Bañez Ocfemia, and H. Irene Hall for their contributions to the collection, analysis, and interpretation of these data. JOW was funded in part by an NIH K01 Career Development Award (K01AI110181). YOW, RS, JOW, and AMO designed the study. RS, AMO, and YOW conducted the analysis. YOW wrote the manuscript. All authors interpreted the findings and critically revised the manuscript.

Footnotes

Conflicts of Interest and Source of Funding: The authors have no conflicts of interest or sources of funding to disclose.

Disclaimer: The findings and conclusions in this paper are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

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