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Caponi M, Burgess C, Leatherwood A, Molano LF. Demographic characteristics associated with the use of HIV pre-exposure prophylaxis (PrEP) in an urban, community health center. Prev Med Rep 2019; 15:100889. [PMID: 31194089 PMCID: PMC6551550 DOI: 10.1016/j.pmedr.2019.100889] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 04/26/2019] [Accepted: 05/12/2019] [Indexed: 11/16/2022] Open
Abstract
Individuals who are at high risk of contracting HIV should have equitable access to preventive measures, such as pre-exposure prophylaxis (PrEP). We conducted a retrospective data extract from the electronic medical records of federally-qualified health centers in New York City from 2016 to 2018. Descriptive statistics are presented, stratified by those who have been prescribed PrEP and those who have not. We created a variable called "ever-female" which includes individuals assigned female at birth or who have ever identified as female. A chi-square test was performed to determine the statistical significance between variables as p < .05. A total of 9659 patients met inclusion criteria for the study. Patients who were prescribed PrEP were significantly associated with being white and never-female, with 38.2% of those prescribed PrEP identifying as white and 83.8% of those prescribed PrEP categorized as never-female. Patients of trans experience were 9.6% of the PrEP cohort and 1.5% of the never PrEP cohort (p < .001). Patients identifying as Black/African American made up 19.8% of patients prescribed PrEP and 49.8% of those never prescribed PrEP (p < .001). Patients with the lowest reported income composed 48.4% of those prescribed PrEP compared to 69.3% of patients who were never prescribed PrEP (p < .001). These findings indicate that key demographic categories may not be accessing PrEP as much as would be expected for their level of risk. Barriers to access of PrEP for women and other at-risk, under-represented populations should be further studied.
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Affiliation(s)
- Mitchell Caponi
- Community Healthcare Network, New York, NY, United States of America
| | - Carolyne Burgess
- Community Healthcare Network, New York, NY, United States of America
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Lin B, Sun X, Su S, Lv C, Zhang X, Lin L, Wang R, Fu J, Kang D. HIV drug resistance in HIV positive individuals under antiretroviral treatment in Shandong Province, China. PLoS One 2017; 12:e0181997. [PMID: 28750025 PMCID: PMC5531464 DOI: 10.1371/journal.pone.0181997] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Accepted: 07/11/2017] [Indexed: 01/20/2023] Open
Abstract
The efficacy of antiretroviral drugs is limited by the development of drug resistance. Therefore, it is important to examine HIV drug resistance following the nationwide implementation of drug resistance testing in China since 2009. We conducted drug resistance testing in patients who were already on or new to HIV antiretroviral therapy (ART) in Shandong Province, China, from 2011 to 2013, and grouped them based on the presence or absence of drug resistance to determine the effects of age, gender, ethnicity, marital status, educational level, route of transmission and treatment status on drug resistance. We then examined levels of drug resistance the following year. The drug resistance rates of HIV patients on ART in Shandong from 2011 to 2013 were 3.45% (21/608), 3.38% (31/916), and 4.29% (54/1259), per year, respectively. M184V was the most frequently found point mutation, conferring resistance to the nucleoside reverse transcriptase inhibitor, while Y181C, G190A, K103N and V179D/E/F were the most frequent point mutations conferring resistance to the non-nucleoside reverse transcriptase inhibitor. In addition, the protease inhibitor drug resistance mutations I54V and V82A were identified for the first time in Shandong Province. Primary resistance accounts for 20% of the impact factors for drug resistance. Furthermore, it was found that educational level and treatment regimen were high-risk factors for drug resistance in 2011 (P<0.05), while treatment regimen was a high risk factor for drug resistance in 2012 and 2013 (P<0.05). Among the 106 drug-resistant patients, 77 received immediate adjustment of treatment regimen following testing, and 69 (89.6%) showed a reduction in drug resistance the following year. HIV drug resistance has a low prevalence in Shandong Province. However, patients on second line ART regimens and those with low educational level need continuous monitoring. Active drug resistance testing can effectively prevent the development of drug resistance.
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Affiliation(s)
- Bin Lin
- Shandong Center for AIDS Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Xiaoguang Sun
- Shandong Center for AIDS Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Shengli Su
- Shandong Center for AIDS Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Cuixia Lv
- Shandong Center for AIDS Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Xiaofei Zhang
- Shandong Center for AIDS Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Lin Lin
- Shandong Center for AIDS Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Rui Wang
- Qilu Hospital of Shandong University, Jinan, Shandong Province, China
| | - Jihua Fu
- Shandong Center for AIDS Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Dianmin Kang
- Shandong Center for AIDS Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
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Tang J, Li X, Price MA, Sanders EJ, Anzala O, Karita E, Kamali A, Lakhi S, Allen S, Hunter E, Kaslow RA, Gilmour J. CD4:CD8 lymphocyte ratio as a quantitative measure of immunologic health in HIV-1 infection: findings from an African cohort with prospective data. Front Microbiol 2015; 6:670. [PMID: 26191056 PMCID: PMC4486831 DOI: 10.3389/fmicb.2015.00670] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2015] [Accepted: 06/19/2015] [Indexed: 01/06/2023] Open
Abstract
In individuals with human immunodeficiency virus type 1 (HIV-1) infection, CD4:CD8 lymphocyte ratio is often recognized as a quantitative outcome that reflects the critical role of both CD4(+) and CD8(+) T-cells in HIV-1 pathogenesis or disease progression. Our work aimed to first establish the dynamics and clinical relevance of CD4:CD8 ratio in a cohort of native Africans and then to examine its association with viral and host factors, including: (i) length of infection, (ii) demographics, (iii) HIV-1 viral load (VL), (iv) change in CD4(+) T-lymphocyte count (CD4 slope), (v) HIV-1 subtype, and (vi) host genetics, especially human leukocyte antigen (HLA) variants. Data from 499 HIV-1 seroconverters with frequent (monthly to quarterly) follow-up revealed that CD4:CD8 ratio was stable in the first 3 years of infection, with a modest correlation with VL and CD4 slope. A relatively normal CD4:CD8 ratio (>1.0) in early infection was associated with a substantial delay in disease progression to severe immunodeficiency (<350 CD4 cells/μl), regardless of other correlates of HIV-1 pathogenesis (adjusted hazards ratio (HR) = 0.43, 95% confidence interval (CI) = 0.29-0.63, P < 0.0001). Low VL (<10,000 copies/ml) and HLA-A*74:01 were the main predictors of CD4:CD8 ratio >1.0, but HLA variants (e.g., HLA-B*57 and HLA-B*81) previously associated with VL and/or CD4 trajectories in eastern and southern Africans had no obvious impact on CD4:CD8 ratio. Collectively, these findings suggest that CD4:CD8 ratio is a robust measure of immunologic health with both clinical and epidemiological implications.
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Affiliation(s)
- Jianming Tang
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL USA
| | - Xuelin Li
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL USA
| | - Matthew A Price
- International AIDS Vaccine Initiative, New York, NY USA ; Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA USA
| | - Eduard J Sanders
- Centre for Geographic Medicine Research, Kenya Medical Research Institute, Kilifi Kenya ; Centre for Clinical Vaccinology and Tropical Medicine, University of Oxford, Oxford UK
| | - Omu Anzala
- Kenya AIDS Vaccine Initiative, Nairobi Kenya
| | | | - Anatoli Kamali
- Uganda Virus Research Unit on AIDS, Medical Research Council/Uganda Virus Research Institute, Masaka Uganda
| | - Shabir Lakhi
- Zambia-Emory HIV Research Project, Lusaka Zambia
| | - Susan Allen
- Zambia-Emory HIV Research Project, Lusaka Zambia ; Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA USA
| | - Eric Hunter
- Emory Vaccine Center, Emory University, Atlanta, GA USA
| | - Richard A Kaslow
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Jill Gilmour
- International AIDS Vaccine Initiative, Human Immunology Laboratory, Chelsea and Westminster Hospital, London UK
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Moise L, Terry F, Gutierrez AH, Tassone R, Losikoff P, Gregory SH, Bailey-Kellogg C, Martin WD, De Groot AS. Smarter vaccine design will circumvent regulatory T cell-mediated evasion in chronic HIV and HCV infection. Front Microbiol 2014; 5:502. [PMID: 25339942 PMCID: PMC4186478 DOI: 10.3389/fmicb.2014.00502] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Accepted: 09/08/2014] [Indexed: 01/17/2023] Open
Abstract
Despite years of research, vaccines against HIV and HCV are not yet available, due largely to effective viral immunoevasive mechanisms. A novel escape mechanism observed in viruses that cause chronic infection is suppression of viral-specific effector CD4(+) and CD8(+) T cells by stimulating regulatory T cells (Tregs) educated on host sequences during tolerance induction. Viral class II MHC epitopes that share a T cell receptor (TCR)-face with host epitopes may activate Tregs capable of suppressing protective responses. We designed an immunoinformatic algorithm, JanusMatrix, to identify such epitopes and discovered that among human-host viruses, chronic viruses appear more human-like than viruses that cause acute infection. Furthermore, an HCV epitope that activates Tregs in chronically infected patients, but not clearers, shares a TCR-face with numerous human sequences. To boost weak CD4(+) T cell responses associated with persistent infection, vaccines for HIV and HCV must circumvent potential Treg activation that can handicap efficacy. Epitope-driven approaches to vaccine design that involve careful consideration of the T cell subsets primed during immunization will advance HIV and HCV vaccine development.
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Affiliation(s)
- Leonard Moise
- EpiVax, Inc., Providence, RI, USA
- Institute for Immunology and Informatics, University of Rhode Island, Providence, RI, USA
| | | | - Andres H. Gutierrez
- Institute for Immunology and Informatics, University of Rhode Island, Providence, RI, USA
| | - Ryan Tassone
- Institute for Immunology and Informatics, University of Rhode Island, Providence, RI, USA
| | - Phyllis Losikoff
- Department of Medicine, Rhode Island Hospital and the Warren Alpert Medical School at Brown University, Providence, RI, USA
| | | | | | | | - Anne S. De Groot
- EpiVax, Inc., Providence, RI, USA
- Institute for Immunology and Informatics, University of Rhode Island, Providence, RI, USA
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Sui H, Gui T, Jia L, Guo W, Han J, Liu Y, Bao Z, Li H, Li J, Li L. Different frequencies of drug resistance mutations among HIV-1 subtypes circulating in China: a comprehensive study. PLoS One 2014; 9:e91803. [PMID: 24663120 PMCID: PMC3963863 DOI: 10.1371/journal.pone.0091803] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Accepted: 02/13/2014] [Indexed: 12/12/2022] Open
Abstract
The rapid spreading of HIV drug resistance is threatening the overall success of free HAART in China. Much work has been done on drug-resistant mutations, however, most of which were based on subtype B. Due to different genetic background, subtypes difference would have an effect on the development of drug-resistant mutations, which has already been proved by more and more studies. In China, the main epidemic subtypes are CRF07_BC, CRF08_BC, Thai B and CRF01_AE. The depiction of drug resistance mutations in those subtypes will be helpful for the selection of regimens for Chinese. In this study, the distributions difference of amino acids at sites related to HIV drug resistance were compared among subtype B, CRF01_AE, CRF07_BC and CRF08_BC strains prevalent in China. The amino acid composition of sequences belonging to different subtypes, which were obtained from untreated and treated individuals separately, were also compared. The amino acids proportions of 19 sites in RT among subtype B, CRF01_AE and CRF08_BC have significant difference in drug resistance groups (chi-square test, p<0.05). Genetic barriers analysis revealed that sites 69, 138, 181, 215 and 238 were significantly different among subtypes (Kruskal Wallis test, p<0.05). All subtypes shared three highest prevalent drug resistance sites 103, 181 and 184 in common. Many drug resistant sites in protease show surprising high proportions in almost all subtypes in drug-naïve patients. This is the first comprehensive study in China on different development of drug resistance among different subtypes. The detailed data will lay a foundation for HIV treatment regimens design and improve HIV therapy in China.
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Affiliation(s)
- Hongshuai Sui
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- Clinical Laboratory of Beidaihe 281 hospital, Qinhuangdao, Hebei province, China
| | - Tao Gui
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Lei Jia
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Wei Guo
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jingwan Han
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yongjian Liu
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Zuoyi Bao
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Hanping Li
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jingyun Li
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- * E-mail: (JL); (LL)
| | - Lin Li
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- * E-mail: (JL); (LL)
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