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Yang J, Han Z, Xu H, Xing H, Xu P, Cheng W, Gu Y, Lyu F. Identifying the Key Nodes of HIV Molecular Transmission Network Among Men Who Have Sex with Men - Guangzhou, Guangdong Province, China, 2015-2017. China CDC Wkly 2021; 3:803-807. [PMID: 34594994 PMCID: PMC8477060 DOI: 10.46234/ccdcw2021.198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 09/15/2021] [Indexed: 11/24/2022] Open
Abstract
What is already known about this topic? Identifying the most influential spreaders in human immunodeficiency virus (HIV) transmission networks is crucial for developing effective prevention strategies. What is added by this report? This study identified key nodes of the HIV molecular transmission network among men who have sex with men (MSM) by utilizing linkages between sequences to reconstruct the transmission network at the molecular level. What are the implications for public health practice? This study could act as an important supplement of laboratory results to epidemiological studies and suggests that interdisciplinary research could inspire new ideas for finding breakthroughs on HIV/acquired immunodeficiency syndrome (AIDS) prevention and control.
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Affiliation(s)
- Juan Yang
- The National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhigang Han
- Department of HIV/AIDS Control and Prevention, Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Huifang Xu
- Department of HIV/AIDS Control and Prevention, Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Hui Xing
- The National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Xu
- The National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Weibin Cheng
- Department of HIV/AIDS Control and Prevention, Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Yuzhou Gu
- Department of HIV/AIDS Control and Prevention, Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Fan Lyu
- The National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Geographic Distribution of HIV Transmission Networks in the United States. J Acquir Immune Defic Syndr 2021; 85:e32-e40. [PMID: 32740373 DOI: 10.1097/qai.0000000000002448] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Understanding geographic patterns of HIV transmission is critical to designing effective interventions. We characterized geographic proximity by transmission risk and urban-rural characteristics among people with closely related HIV strains suggestive of potential transmission relationships. METHODS We analyzed US National HIV Surveillance System data of people diagnosed between 2010 and 2016 with a reported HIV-1 partial polymerase nucleotide sequence. We used HIV TRAnsmission Cluster Engine (HIV-TRACE) to identify sequences linked at a genetic distance of ≤0.5%. For each linked person, we assessed median distances between counties of residence at diagnosis by transmission category and urban-rural classification, weighting observations to account for persons with multiple linked sequences. RESULTS There were 24,743 persons with viral sequence linkages to at least one other person included in this analysis. Overall, half (50.9%) of persons with linked viral sequences resided in different counties, and the median distance from persons with linked viruses was 11 km/7 miles [interquartile range (IQR), 0-145 km/90 miles]. Median distances were highest for men who have sex with men (MSM: 14 km/9 miles; IQR, 0-179 km/111 miles) and MSM who inject drugs, and median distances increased with increasing rurality (large central metro: 0 km/miles; IQR, 0-83 km/52 miles; nonmetro: 103 km/64 miles; IQR, 40 km/25 miles-316 km/196 miles). CONCLUSION Transmission networks in the United States involving MSM, MSM who inject drugs, or persons living in small metro and nonmetro counties may be more geographically dispersed, highlighting the importance of coordinated health department efforts for comprehensive follow-up and linkage to care.
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Kantzanou M, Karalexi MA, Zivinaki A, Riza E, Papachristou H, Vasilakis A, Kontogiorgis C, Linos A. Concordance of genotypic resistance interpretation algorithms in HIV-1 infected patients: An exploratory analysis in Greece. J Clin Virol 2021; 137:104779. [PMID: 33647801 DOI: 10.1016/j.jcv.2021.104779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 02/18/2021] [Indexed: 10/22/2022]
Abstract
PURPOSE Genotypic resistance-related mutations in HIV-1 disease are often difficult to interpret. Different algorithms have been developed to provide meaningful application into clinical context. We aimed to compare, for the first time in Greece, the results of genotypic resistance derived from three interpretation algorithms. METHODS The sequences of 120 HIV 1-infected patients were tested for genotypic resistance to 19 antiretroviral (ARV) drugs (n = 2280 sequences). The interpretation results of Rega, ANRS and ViroSeq algorithms were compared. RESULTS Complete concordance was found for 2/19 ARV drugs, namely lamivudine and emptricitabine. Concordance was high for nucleoside reverse transcriptase inhibitors (NRTIs) and low for protease inhibitors (PIs). In inter-algorithm pairs, agreement was high between Rega and ViroSeq (kappa = 0.701), especially by ARV class, namely NRTIs (k = 0.869) and NNRTIs (k = 0.562). The only exception was noted for rilpivirine, where agreement was higher between ANRS and Rega (k = 0.410) compared to other inter-algorithm pairs (k = 0.018-0.055). By contrast, for PIs all comparisons yielded concordance equivalent to chance (k = 0.000). CONCLUSIONS Our exploratory analysis provided evidence of significant inter-algorithm discordances, especially for PIs and NNRTIs highlighting the importance of matching the results of different algorithms to achieve optimized risk stratification. Ongoing research could assist clinical physicians in interpreting complex genotypic resistance patterns.
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Affiliation(s)
- Maria Kantzanou
- Department of Hygiene, Epidemiology & Medical Statistics Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias, 11527, Goudi, Athens, Greece
| | - Maria A Karalexi
- Department of Hygiene, Epidemiology & Medical Statistics Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias, 11527, Goudi, Athens, Greece.
| | - Anduela Zivinaki
- Department of Hygiene, Epidemiology & Medical Statistics Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias, 11527, Goudi, Athens, Greece
| | - Elena Riza
- Department of Hygiene, Epidemiology & Medical Statistics Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias, 11527, Goudi, Athens, Greece
| | - Helen Papachristou
- Department of Hygiene, Epidemiology & Medical Statistics Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias, 11527, Goudi, Athens, Greece
| | - Alexis Vasilakis
- Department of Hygiene, Epidemiology & Medical Statistics Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias, 11527, Goudi, Athens, Greece
| | - Christos Kontogiorgis
- Laboratory of Hygiene and Environmental Protection, Medical School, Democritus University of Thrace, Campus (Dragana) Building 5, GR-68100, Alexandroupolis, Greece
| | - Athina Linos
- Department of Hygiene, Epidemiology & Medical Statistics Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias, 11527, Goudi, Athens, Greece
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Fujimoto K, Bahl J, Wertheim JO, Del Vecchio N, Hicks JT, Damodaran L, Hallmark CJ, Lavingia R, Mora R, Carr M, Yang B, Schneider JA, Hwang LY, McNeese M. Methodological synthesis of Bayesian phylodynamics, HIV-TRACE, and GEE: HIV-1 transmission epidemiology in a racially/ethnically diverse Southern U.S. context. Sci Rep 2021; 11:3325. [PMID: 33558579 PMCID: PMC7870963 DOI: 10.1038/s41598-021-82673-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 01/22/2021] [Indexed: 12/30/2022] Open
Abstract
This study introduces an innovative methodological approach to identify potential drivers of structuring HIV-1 transmission clustering patterns between different subpopulations in the culturally and racially/ethnically diverse context of Houston, TX, the largest city in the Southern United States. Using 6332 HIV-1 pol sequences from persons newly diagnosed with HIV during the period 2010–2018, we reconstructed HIV-1 transmission clusters, using the HIV-TRAnsmission Cluster Engine (HIV-TRACE); inferred demographic and risk parameters on HIV-1 transmission dynamics by jointly estimating viral transmission rates across racial/ethnic, age, and transmission risk groups; and modeled the degree of network connectivity by using generalized estimating equations (GEE). Our results indicate that Hispanics/Latinos are most vulnerable to the structure of transmission clusters and serve as a bridge population, acting as recipients of transmissions from Whites (3.0 state changes/year) and from Blacks (2.6 state changes/year) as well as sources of transmissions to Whites (1.8 state changes/year) and to Blacks (1.2 state changes/year). There were high rates of transmission and high network connectivity between younger and older Hispanics/Latinos as well as between younger and older Blacks. Prevention and intervention efforts are needed for transmission clusters that involve younger racial/ethnic minorities, in particular Hispanic/Latino youth, to reduce onward transmission of HIV in Houston.
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Affiliation(s)
- Kayo Fujimoto
- Department of Health Promotion and Behavioral Sciences, The University of Texas Health Science Center at Houston, 7000 Fannin Street, UCT 2514, Houston, TX, 77030, USA.
| | - Justin Bahl
- Department of Infectious Diseases, University of Georgia, Athens, GA, USA
| | - Joel O Wertheim
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Natascha Del Vecchio
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Joseph T Hicks
- Department of Infectious Diseases, University of Georgia, Athens, GA, USA
| | | | - Camden J Hallmark
- Division of Disease Prevention and Control, Houston Health Department, Houston, TX, USA
| | - Richa Lavingia
- Department of Health Promotion and Behavioral Sciences, The University of Texas Health Science Center at Houston, 7000 Fannin Street, UCT 2514, Houston, TX, 77030, USA
| | - Ricardo Mora
- Division of Disease Prevention and Control, Houston Health Department, Houston, TX, USA
| | - Michelle Carr
- Division of Disease Prevention and Control, Houston Health Department, Houston, TX, USA
| | - Biru Yang
- Division of Disease Prevention and Control, Houston Health Department, Houston, TX, USA
| | | | - Lu-Yu Hwang
- Department of Epidemiology, Human Genetics, and Environmental Science, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Marlene McNeese
- Division of Disease Prevention and Control, Houston Health Department, Houston, TX, USA
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Nelson KN, Jenness SM, Mathema B, Lopman BA, Auld SC, Shah NS, Brust JCM, Ismail N, Omar SV, Brown TS, Allana S, Campbell A, Moodley P, Mlisana K, Gandhi NR. Social Mixing and Clinical Features Linked With Transmission in a Network of Extensively Drug-resistant Tuberculosis Cases in KwaZulu-Natal, South Africa. Clin Infect Dis 2020; 70:2396-2402. [PMID: 31342067 PMCID: PMC7245156 DOI: 10.1093/cid/ciz636] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 07/10/2019] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Tuberculosis (TB) is the leading infectious cause of death globally, and drug-resistant TB strains pose a serious threat to controlling the global TB epidemic. The clinical features, locations, and social factors driving transmission in settings with high incidences of drug-resistant TB are poorly understood. METHODS We measured a network of genomic links using Mycobacterium tuberculosis whole-genome sequences. RESULTS Patients with 2-3 months of cough or who spent time in urban locations were more likely to be linked in the network, while patients with sputum smear-positive disease were less likely to be linked than those with smear-negative disease. Associations persisted using different thresholds to define genomic links and irrespective of assumptions about the direction of transmission. CONCLUSIONS Identifying factors that lead to many transmissions, including contact with urban areas, can suggest settings instrumental in transmission and indicate optimal locations and groups to target with interventions.
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Affiliation(s)
- Kristin N Nelson
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Samuel M Jenness
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Barun Mathema
- Mailman School of Public Health, Columbia University, New York, New York
| | | | - Sara C Auld
- Rollins School of Public Health, Emory University, Atlanta, Georgia
- Emory University School of Medicine, Atlanta, Georgia
| | - N Sarita Shah
- US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - James C M Brust
- Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York
| | - Nazir Ismail
- National Institute for Communicable Diseases, Johannesburg, South Africa
- University of Pretoria, South Africa
| | - Shaheed Vally Omar
- National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Tyler S Brown
- Massachusetts General Hospital, Infectious Diseases Division, Boston
| | - Salim Allana
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Angie Campbell
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Pravi Moodley
- National Health Laboratory Service, Durban, South Africa
- School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Koleka Mlisana
- National Health Laboratory Service, Durban, South Africa
- School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Neel R Gandhi
- Rollins School of Public Health, Emory University, Atlanta, Georgia
- Emory University School of Medicine, Atlanta, Georgia
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Gibson KM, Jair K, Castel AD, Bendall ML, Wilbourn B, Jordan JA, Crandall KA, Pérez-Losada M. A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing. Sci Rep 2020; 10:1989. [PMID: 32029767 PMCID: PMC7004982 DOI: 10.1038/s41598-020-58410-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 12/31/2019] [Indexed: 11/08/2022] Open
Abstract
Washington, DC continues to experience a generalized HIV-1 epidemic. We characterized the local phylodynamics of HIV-1 in DC using next-generation sequencing (NGS) data. Viral samples from 68 participants from 2016 through 2017 were sequenced and paired with epidemiological data. Phylogenetic and network inferences, drug resistant mutations (DRMs), subtypes and HIV-1 diversity estimations were completed. Haplotypes were reconstructed to infer transmission clusters. Phylodynamic inferences based on the HIV-1 polymerase (pol) and envelope genes (env) were compared. Higher HIV-1 diversity (n.s.) was seen in men who have sex with men, heterosexual, and male participants in DC. 54.0% of the participants contained at least one DRM. The 40-49 year-olds showed the highest prevalence of DRMs (22.9%). Phylogenetic analysis of pol and env sequences grouped 31.9-33.8% of the participants into clusters. HIV-TRACE grouped 2.9-12.8% of participants when using consensus sequences and 9.0-64.2% when using haplotypes. NGS allowed us to characterize the local phylodynamics of HIV-1 in DC more broadly and accurately, given a better representation of its diversity and dynamics. Reconstructed haplotypes provided novel and deeper phylodynamic insights, which led to networks linking a higher number of participants. Our understanding of the HIV-1 epidemic was expanded with the powerful coupling of HIV-1 NGS data with epidemiological data.
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Grants
- P30 AI117970 NIAID NIH HHS
- U01 AI069503 NIAID NIH HHS
- UM1 AI069503 NIAID NIH HHS
- This study was supported by the DC Cohort Study (U01 AI69503-03S2), a supplement from the Women’s Interagency Study for HIV-1 (410722_GR410708), a DC D-CFAR pilot award, and a 2015 HIV-1 Phylodynamics Supplement award from the District of Columbia for AIDS Research, an NIH funded program (AI117970), which is supported by the following NIH Co-Funding and Participating Institutes and Centers: NIAID, NCI, NICHD, NHLBI, NIDA, NIMH, NIA, FIC, NIGMS, NIDDK and OAR. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
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Affiliation(s)
- Keylie M Gibson
- Computational Biology Institute, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA.
| | - Kamwing Jair
- Department of Epidemiology, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - Amanda D Castel
- Department of Epidemiology, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - Matthew L Bendall
- Computational Biology Institute, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - Brittany Wilbourn
- Department of Epidemiology, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - Jeanne A Jordan
- Department of Epidemiology, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - Keith A Crandall
- Computational Biology Institute, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
- Department of Biostatistics and Bioinformatics, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - Marcos Pérez-Losada
- Computational Biology Institute, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
- Department of Biostatistics and Bioinformatics, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
- CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Vairão, Portugal
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7
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Wu J, Zhang Y, Shen Y, Wang X, Xing H, Yang X, Ding X, Hu B, Li H, Han J, Li J, Su B, Liu Y, Li L. Phylogenetic analysis highlights the role of older people in the transmission of HIV-1 in Fuyang, Anhui Province, China. BMC Infect Dis 2019; 19:562. [PMID: 31248372 PMCID: PMC6598234 DOI: 10.1186/s12879-019-4187-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 06/12/2019] [Indexed: 01/16/2023] Open
Abstract
Background The proportion of older HIV-1 infected people in China has increased rapidly in recent years. Elucidation of the transmission characteristics of this high-risk population subgroup is helpful for the development of tailored interventions. Methods A phylogenetic analysis was performed that uses available HIV-1 pol sequences amplified with nested RT-PCR from plasma samples of all newly diagnosed participants spanning from October 2017 to September 2018 in Fuyang, Anhui Province. Transmission clusters were identified as two or more sequences that shared a corresponding node with an aLRT-SH value ≥90 in the maximum-likelihood phylogenetic tree and had an overall mean genetic distance of ≤1.5%. A local transmission cluster was defined as a cluster that had more than 80% of its sequences from Fuyang. The role of older people in local HIV-1 transmission was determined using an integration of molecular and demographic data. Results Of 362 available sequences, 14 subtypes, and 28 local transmission clusters were identified. It was found that the proportion of older people in the local transmission cluster (69/77, 89.61%) was much higher than that of younger people (46/114, 40.35%) (χ2 test, P < 0.001). In the pretreatment drug resistance analysis, the proportion of sequences with PDRMs in the local transmission cluster was not significantly different between the older people group (57.14%, 4/7) and non-old-aged group (11.11%, 1/9) (Fisher’s exact test, P > 0.05). Conclusion By combining phylogenetic analyses with demographic data, more detailed information was provided about the local transmission structure in Fuyang. These findings suggested that older people play an important role in local transmission, and more tailored interventions for this population subgroup are urgently needed.
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Affiliation(s)
- Jianjun Wu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, 230601, China
| | - Yu Zhang
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Yuelan Shen
- Anhui Provincial Center for Disease Control and Prevention, Hefei, 230601, China
| | - Xiaolin Wang
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Hui Xing
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Xiaohui Yang
- Fuyang Center for Disease Control and Prevention, Fuyang, 236069, China
| | - Xinping Ding
- Fuyang Center for Disease Control and Prevention, Fuyang, 236069, China
| | - Bing Hu
- Fuyang Center for Disease Control and Prevention, Fuyang, 236069, China
| | - Hanping Li
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Jingwan Han
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Jingyun Li
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Bin Su
- Anhui Provincial Center for Disease Control and Prevention, Hefei, 230601, China.
| | - Yongjian Liu
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
| | - Lin Li
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
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Gibson KM, Steiner MC, Kassaye S, Maldarelli F, Grossman Z, Pérez-Losada M, Crandall KA. A 28-Year History of HIV-1 Drug Resistance and Transmission in Washington, DC. Front Microbiol 2019; 10:369. [PMID: 30906285 PMCID: PMC6418020 DOI: 10.3389/fmicb.2019.00369] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 02/12/2019] [Indexed: 01/06/2023] Open
Abstract
Washington, DC consistently has one of the highest annual rates of new HIV-1 diagnoses in the United States over the last 10 years. To guide intervention and prevention strategies to combat DC HIV infection, it is helpful to understand HIV transmission dynamics in a historical context. Toward this aim, we conducted a retrospective study (years 1987–2015) of 3,349 HIV pol sequences (1,026 bp) from 1,995 individuals living in the DC area belonging to three different cohorts. We coupled HIV sequence data with clinical information (sex, risk factor, race/ethnicity, viral load, subtype, anti-retroviral regimen) to identify circulating drug resistant mutations (DRM) and transmission clusters and assess their persistence over time. Of the transmission clusters identified in the DC area, 78.0 and 31.7% involved MSM and heterosexuals, respectively. The longest spread of time for a single cluster was 5 years (2007–2012) using a distance-based network inference approach and 27 years (1987–2014) using a maximum likelihood phylogenetic approach. We found eight subtypes and nine recombinants. Genetic diversity increased steadily over time with a slight peak in 2009 and remained constant thereafter until 2015. Nucleotide diversity also increased over time while relative genetic diversity (BEAST) remained relatively steady over the last 28 years with slight increases since 2000 in subtypes B and C. Sequences from individuals on drug therapy contained the highest total number of DRMs (1,104–1,600) and unique DRMs (63–97) and the highest proportion (>20%) of resistant individuals. Heterosexuals (43.94%), MSM (40.13%), and unknown (44.26%) risk factors showed similar prevalence of DRMs, while injection drug users had a lower prevalence (33.33%). Finally, there was a 60% spike in the number of codons with DRMs between 2007 and 2010. Past patterns of HIV transmission and DRM accumulation over time described here will help to predict future efficacy of ART drugs based on DRMs persisting over time and identify risk groups of interest for prevention and intervention efforts within the DC population. Our results show how longitudinal data can help to understand the temporal dynamics of HIV-1 at the local level.
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Affiliation(s)
- Keylie M Gibson
- Computational Biology Institute, Milken Institute School of Public Health, George Washington University, Washington, DC, United States
| | - Margaret C Steiner
- Computational Biology Institute, Milken Institute School of Public Health, George Washington University, Washington, DC, United States
| | - Seble Kassaye
- Department of Medicine, Georgetown University, Washington, DC, United States
| | - Frank Maldarelli
- HIV Dynamics and Replication Program, Host-Virus Interaction Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - Zehava Grossman
- HIV Dynamics and Replication Program, Host-Virus Interaction Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.,Sackler Faculty of Medicine, School of Public Health, Tel Aviv University, Tel Aviv, Israel
| | - Marcos Pérez-Losada
- Computational Biology Institute, Milken Institute School of Public Health, George Washington University, Washington, DC, United States.,CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal.,Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, George Washington University, Washington, DC, United States
| | - Keith A Crandall
- Computational Biology Institute, Milken Institute School of Public Health, George Washington University, Washington, DC, United States.,Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, George Washington University, Washington, DC, United States
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Dennis AM, Volz E, Frost AMSD, Hossain M, Poon AF, Rebeiro PF, Vermund SH, Sterling TR, Kalish ML. HIV-1 Transmission Clustering and Phylodynamics Highlight the Important Role of Young Men Who Have Sex with Men. AIDS Res Hum Retroviruses 2018; 34:879-888. [PMID: 30027754 PMCID: PMC6204570 DOI: 10.1089/aid.2018.0039] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
More persons living with HIV reside in the Southern United States than in any other region, yet little is known about HIV molecular epidemiology in the South. We used cluster and phylodynamic analyses to evaluate HIV transmission patterns in middle Tennessee. We performed cross-sectional analyses of HIV-1 pol sequences and clinical data collected from 2001 to 2015 among persons attending the Vanderbilt Comprehensive Care Clinic. Transmission clusters were identified using maximum likelihood phylogenetics and patristic distance differences. Demographic, risk behavior, and clinical factors were assessed evaluating “active” clusters (clusters including sequences sampled 2011–2015) and associations estimated with logistic regression. Transmission risk ratios for men who have sex with men (MSM) were estimated with phylodynamic models. Among 2915 persons (96% subtype-B sequences), 963 (33%) were members of 292 clusters (distance ≤1.5%, size range 2–39). Most clusters (62%, n = 690 persons) were active, either being newly identified (n = 80) or showing expansion on existing clusters (n = 101). Correlates of active clustering among persons with sequences collected during 2011–2015 included MSM risk and ≤30 years of age. Active clusters were significantly more concentrated in MSM and younger persons than historical clusters. Young MSM (YMSM) (≤26.4 years) had high estimated transmission risk [risk ratio = 4.04 (2.85–5.65) relative to older MSM] and were much more likely to transmit to YMSM. In this Tennessee cohort, transmission clusters over time were more concentrated by MSM and younger age, with high transmission risk among and between YMSM, highlighting the importance of interventions among this group. Detecting active clusters could help direct interventions to disrupt ongoing transmission chains.
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Affiliation(s)
- Ann M. Dennis
- Division of Infectious Diseases, University of North Carolina, Chapel Hill, North Carolina
| | - Erik Volz
- Department of Infectious Disease Epidemiology and Centre for Outbreak Analysis and Modeling, Imperial College, London, United Kingdom
| | | | - Mukarram Hossain
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Art F.Y. Poon
- Department of Pathology and Laboratory Medicine, Western University, London, Canada
| | - Peter F. Rebeiro
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Sten H. Vermund
- Department of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, Connecticut
| | - Timothy R. Sterling
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Marcia L. Kalish
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
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Morgan E, Skaathun B, Schneider JA. Sexual, Social, and Genetic Network Overlap: A Socio-Molecular Approach Toward Public Health Intervention of HIV. Am J Public Health 2018; 108:1528-1534. [PMID: 30252515 DOI: 10.2105/ajph.2018.304438] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To determine how network-level factors influence individual risk of HIV acquisition, which is key in preventing disease transmission. METHODS We recruited a cohort of young Black men who have sex with men (n = 618) in Chicago, Illinois, from 2013 to 2016. We identified potential molecular ties via pairwise genetic distance analysis of HIV pol sequences with links inferred between individuals whose sequences were 1.5% or less genetically distant. We defined clusters as 1 or more connections to another individual. We conducted entity resolution between confidant, sexual, referral, and Facebook network data between network types. RESULTS Of 266 (43.0%) participants identified as HIV-positive, we obtained 86 (32.3%) genetic sequences. Of these, 35 (40.7%) were linked to 1 or more other sequence; however, none of these were identified in first-, second-, or third-degree confidant and sexual networks. Minimal overlap existed between genetic and Facebook ties. CONCLUSIONS These results suggest that HIV transmissions may have occurred before elicitation of network data; future studies should expand the data collection timeframe to more accurately determine risk networks. Virtual network data, such as Facebook, may be particularly useful in developing one's risk environment.
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Affiliation(s)
- Ethan Morgan
- All of the authors are with both the Department of Public Health Sciences and the Chicago Center for HIV Elimination, University of Chicago, Chicago, IL. John A. Schneider is also affiliated with the Department of Medicine, University of Chicago
| | - Britt Skaathun
- All of the authors are with both the Department of Public Health Sciences and the Chicago Center for HIV Elimination, University of Chicago, Chicago, IL. John A. Schneider is also affiliated with the Department of Medicine, University of Chicago
| | - John A Schneider
- All of the authors are with both the Department of Public Health Sciences and the Chicago Center for HIV Elimination, University of Chicago, Chicago, IL. John A. Schneider is also affiliated with the Department of Medicine, University of Chicago
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Frye V, Wilton L, Hirshfield S, Chiasson MA, Lucy D, Usher D, McCrossin J, Greene E, Koblin B. Preferences for HIV test characteristics among young, Black Men Who Have Sex With Men (MSM) and transgender women: Implications for consistent HIV testing. PLoS One 2018; 13:e0192936. [PMID: 29462156 PMCID: PMC5819791 DOI: 10.1371/journal.pone.0192936] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2017] [Accepted: 01/24/2018] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Promoting consistent HIV testing is critical among young, Black Men Who Have Sex With Men (MSM) and transgender women who are overrepresented among new HIV cases in the United States. New HIV test options are available, including mobile unit testing, one-minute testing, at home or self-testing and couples HIV testing and counseling (CHTC). In the context of these newer options, the objective of this study was to explore whether and how preferences for specific characteristics of the tests acted as barriers to and/or facilitators of testing in general and consistent testing specifically among young Black MSM and transgender women aged 16 to 29. METHODS We conducted 30 qualitative, semi-structured, in-depth interviews with young, Black, gay, bisexual or MSM and transgender women in the New York City metropolitan area to identify preferences for specific HIV tests and aspects of HIV testing options. Participants were primarily recruited from online and mobile sites, followed by community-based, face-to-face recruitment strategies to specifically reach younger participants. Thematic coding was utilized to analyze the qualitative data based on a grounded theoretical approach. RESULTS We identified how past experiences, perceived test characteristics (e.g., accuracy, cost, etc.) and beliefs about the "fit" between the individual, and the test relate to preferred testing methods and consistent testing. Three major themes emerged as important to preferences for HIV testing methods: the perceived accuracy of the test method, venue characteristics, and lack of knowledge or experience with the newer testing options, including self-testing and CHTC. CONCLUSIONS These findings suggest that increasing awareness of and access to newer HIV testing options (e.g., free or reduced price on home or self-tests or CHTC available at all testing venues) is critical if these new options are to facilitate increased levels of consistent testing among young, Black MSM and transgender women. Addressing perceptions of test accuracy and supporting front line staff in creating welcoming and safe testing environments may be key intervention targets. Connecting young Black MSM and transgender women to the best test option, given preferences for specific characteristics, may support more and more consistent HIV testing.
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Affiliation(s)
- Victoria Frye
- Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education, CUNY School of Medicine, City University of New York, New York, New York, United States of America
- Laboratory of Social and Behavioral Sciences, New York Blood Center, New York, New York, United States of America
| | - Leo Wilton
- Department of Human Development, College of Community and Public Affairs (CCPA), Binghamton University, Binghamton, New York, United States of America
- Faculty of Humanities, University of Johannesburg, Johannesburg, South Africa
| | - Sabina Hirshfield
- Division of Research and Evaluation, Public Health Solutions, New York, New York, United States of America
| | - Mary Ann Chiasson
- Division of Research and Evaluation, Public Health Solutions, New York, New York, United States of America
| | - Debbie Lucy
- Project ACHIEVE, Laboratory of Infectious Disease Prevention, New York Blood Center, New York, New York, United States of America
| | - DaShawn Usher
- Project ACHIEVE, Laboratory of Infectious Disease Prevention, New York Blood Center, New York, New York, United States of America
| | - Jermaine McCrossin
- Project ACHIEVE, Laboratory of Infectious Disease Prevention, New York Blood Center, New York, New York, United States of America
| | - Emily Greene
- Laboratory of Social and Behavioral Sciences, New York Blood Center, New York, New York, United States of America
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, United States of America
| | - Beryl Koblin
- Project ACHIEVE, Laboratory of Infectious Disease Prevention, New York Blood Center, New York, New York, United States of America
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Morgan E, Skaathun B, Lancki N, Jimenez AD, Ramirez-Valles J, Bhatia R, Masiello-Schuette S, Benbow N, Prachand N, Schneider JA. Trends in HIV Risk, Testing, and Treatment among MSM in Chicago 2004-2014: Implications for HIV Elimination Planning. J Urban Health 2017; 94:699-709. [PMID: 28631059 PMCID: PMC5610127 DOI: 10.1007/s11524-017-0175-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Men who have sex with men (MSM) in the USA continue to have high rates of HIV infection. Increasingly, in addition to behavioral factors, biomedical interventions have been found to play important roles in HIV prevention. In this analysis, we used four waves of cross-sectional data (2004, 2008, 2011, and 2014) from the National HIV Behavioral Surveillance System (NHBS) to examine trends in key behaviors and biomedical interventions among MSM in Chicago (N = 3298). Logistic regression was used to determine changes in behaviors and use of biomedical interventions. Condomless sex increased significantly in waves 3 and 4, compared to wave 1: wave 3 (AOR = 2.07; 95% CI 1.53, 2.78) and wave 4 (AOR = 2.19; 95% CI 1.62, 2.96). Compared to those aged 18-24, older participants were significantly less likely to be routinely tested for HIV: 30-39 (AOR = 0.63; 95% CI 0.48, 0.83), 40-49 (AOR = 0.40; 95% CI 0.29, 0.55), and >50 (AOR = 0.28; 95% CI 0.18, 0.43). Awareness of both post-exposure prophylaxis (PEP)(AOR = 3.13; 95% CI 1.22, 8.03) and pre-exposure prophylaxis (PrEP)(AOR = 10.02; 95% CI 2.95, 34.01) increased significantly in wave 4, compared to wave 3. These results suggest a potential increase in HIV rates among men with main and casual partners and should be monitored closely as PrEP becomes more widespread among MSM of all races and ethnicities in Chicago. This study also suggests that further analyses of the barriers to PEP and PreP uptake among high-risk populations are necessary.
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Affiliation(s)
- Ethan Morgan
- Chicago Center for HIV Elimination, University of Chicago, Chicago, IL, USA.
| | - Britt Skaathun
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
- Chicago Center for HIV Elimination, University of Chicago, Chicago, IL, USA
| | - Nicola Lancki
- Chicago Center for HIV Elimination, University of Chicago, Chicago, IL, USA
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Antonio D Jimenez
- School of Public Health, University of Illinois at Chicago, Chicago, IL, USA
| | | | - Ramona Bhatia
- Chicago Department of Public Health, Chicago, IL, USA
| | | | - Nanette Benbow
- Center for Implementation Science, Northwestern University, Chicago, IL, USA
| | | | - John A Schneider
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
- Chicago Center for HIV Elimination, University of Chicago, Chicago, IL, USA
- Department of Medicine, University of Chicago, Chicago, IL, USA
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Morgan E, Nyaku AN, D’Aquila RT, Schneider JA. Determinants of HIV Phylogenetic Clustering in Chicago Among Young Black Men Who Have Sex With Men From the uConnect Cohort. J Acquir Immune Defic Syndr 2017; 75:265-270. [PMID: 28328553 PMCID: PMC5472497 DOI: 10.1097/qai.0000000000001379] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Phylogenetic analysis determines similarities among HIV genetic sequences from persons infected with HIV, identifying clusters of transmission. We determined characteristics associated with both membership in an HIV transmission cluster and the number of clustered sequences among a cohort of young black men who have sex with men (YBMSM) in Chicago. METHODS Pairwise genetic distances of HIV-1 pol sequences were collected during 2013-2016. Potential transmission ties were identified among HIV-infected persons whose sequences were ≤1.5% genetically distant. Putative transmission pairs were defined as ≥1 tie to another sequence. We then determined demographic and risk attributes associated with both membership in an HIV transmission cluster and the number of ties to the sequences from other persons in the cluster. RESULTS Of 86 available sequences, 31 (36.0%) were tied to ≥1 other sequence. Through multivariable analyses, we determined that those who reported symptoms of depression and those who had a higher number of confidants in their network had significantly decreased odds of membership in transmission clusters. We found that those who had unstable housing and who reported heavy marijuana use had significantly more ties to other individuals within transmission clusters, whereas those identifying as bisexual, those participating in group sex, and those with higher numbers of sexual partners had significantly fewer ties. CONCLUSIONS This study demonstrates the potential for combining phylogenetic and individual and network attributes to target HIV control efforts to persons with potentially higher transmission risk, as well as suggesting some unappreciated specific predictors of transmission risk among YBMSM in Chicago for future study.
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Affiliation(s)
- Ethan Morgan
- Department of Public Health Sciences, University of Chicago, Chicago, USA
| | - Amesika N Nyaku
- Department of Medicine, Northwestern University, Chicago, USA
| | | | - John A Schneider
- Department of Public Health Sciences, University of Chicago, Chicago, USA
- Department of Medicine, University of Chicago, Chicago, USA
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