Type-Specific Cervico-Vaginal Human Papillomavirus Infection Increases Risk of HIV Acquisition Independent of Other Sexually Transmitted Infections
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{"title"=>"Type-specific cervico-vaginal human papillomavirus infection increases risk of HIV acquisition independent of other sexually transmitted infections", "type"=>"journal", "authors"=>[{"first_name"=>"Karen K.", "last_name"=>"Smith-McCune", "scopus_author_id"=>"6603959405"}, {"first_name"=>"Stephen", "last_name"=>"Shiboski", "scopus_author_id"=>"7003414903"}, {"first_name"=>"Mike Z.", "last_name"=>"Chirenje", "scopus_author_id"=>"6602534949"}, {"first_name"=>"Tsitsi", "last_name"=>"Magure", "scopus_author_id"=>"26768038900"}, {"first_name"=>"Jennifer", "last_name"=>"Tuveson", "scopus_author_id"=>"14828416500"}, {"first_name"=>"Yifei", "last_name"=>"Ma", "scopus_author_id"=>"14016340600"}, {"first_name"=>"Maria", "last_name"=>"da Costa", "scopus_author_id"=>"7101630610"}, {"first_name"=>"Anna Barbara", "last_name"=>"Moscicki", "scopus_author_id"=>"7006628776"}, {"first_name"=>"Joel M.", "last_name"=>"Palefsky", "scopus_author_id"=>"7004856896"}, {"first_name"=>"Rudo", "last_name"=>"Makunike-Mutasa", "scopus_author_id"=>"23009423300"}, {"first_name"=>"Tsungai", "last_name"=>"Chipato", "scopus_author_id"=>"6602161201"}, {"first_name"=>"Ariane", "last_name"=>"van der Straten", "scopus_author_id"=>"7003900653"}, {"first_name"=>"George F.", "last_name"=>"Sawaya", "scopus_author_id"=>"7003487865"}], "year"=>2010, "source"=>"PLoS ONE", "identifiers"=>{"isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pmid"=>"20386706", "doi"=>"10.1371/journal.pone.0010094", "pui"=>"359482122", "issn"=>"19326203", "sgr"=>"77955420825", "scopus"=>"2-s2.0-77955420825"}, "id"=>"58c1cbc8-2457-3ef0-b96a-e682a31efaca", "abstract"=>"BACKGROUND: Sexually transmitted infections (STIs) such as herpes simplex virus (HSV)-2 are associated with an increased risk of HIV infection. Human papillomavirus (HPV) is a common STI, but little is know about its role in HIV transmission. The objective of this study was to determine whether cervico-vaginal HPV infection increases the risk of HIV acquisition in women independent of other common STIs.\\n\\nMETHODS AND FINDINGS: This prospective cohort study followed 2040 HIV-negative Zimbabwean women (average age 27 years, range 18-49 years) for a median of 21 months. Participants were tested quarterly for 29 HPV types (with L1 PCR primers) and HIV (antibody testing on blood samples with DNA or RNA PCR confirmation). HIV incidence was 2.7 per 100 woman-years. Baseline HPV prevalence was 24.5%, and the most prevalent HPV types were 58 (5.0%), 16 (4.7%), 70 (2.4%), and 18 (2.3%). In separate regression models adjusting for baseline variables (including age, high risk partner, positive test for STIs, positive HSV-2 serology and condom use), HIV acquisition was associated with having baseline prevalent infection with HPV 58 (aHR 2.13; 95% CI 1.09-4.15) or HPV 70 (aHR 2.68; 95% CI 1.08-6.66). In separate regression models adjusting for both baseline variables and time-dependent variables (including HSV-2 status, incident STIs, new sexual partner and condom use), HIV acquisition was associated with concurrent infection with any non-oncogenic HPV type (aHR 1.70; 95% CI 1.02-2.85), any oncogenic HPV type (aHR 1.96; 95% CI 1.16-3.30), HPV 31 (aHR 4.25; 95% CI 1.81-9.97) or HPV 70 (aHR 3.30; 95% CI 1.50-7.20). Detection of any oncogenic HPV type within the previous 6 months was an independent predictor of HIV acquisition, regardless of whether HPV status at the HIV acquisition visit was included (aHR 1.95; 95% CI 1.19-3.21) or excluded (aHR 1.96; 95% CI 1.02-2.85) from the analysis.\\n\\nCONCLUSIONS/SIGNIFICANCE: Cervico-vaginal HPV infection was associated with an increased risk of HIV acquisition in women, and specific HPV types were implicated in this association. The observational nature of our study precludes establishment of causation between HPV infection and HIV acquisition. However, given the high prevalence of HPV infection in women, further investigation of the role of HPV in HIV transmission is warranted.", "link"=>"http://www.mendeley.com/research/typespecific-cervicovaginal-human-papillomavirus-infection-increases-risk-hiv-acquisition-independen-2", "reader_count"=>22, "reader_count_by_academic_status"=>{"Student > Doctoral Student"=>2, "Researcher"=>8, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>2, "Student > Master"=>4, "Other"=>2, "Student > Bachelor"=>2}, "reader_count_by_user_role"=>{"Student > Doctoral Student"=>2, "Researcher"=>8, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>2, "Student > Master"=>4, "Other"=>2, "Student > Bachelor"=>2}, "reader_count_by_subject_area"=>{"Nursing and Health Professions"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>1, "Agricultural and Biological Sciences"=>7, "Medicine and Dentistry"=>9, "Social Sciences"=>1, "Immunology and Microbiology"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>9}, "Social Sciences"=>{"Social Sciences"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>7}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Mathematics"=>{"Mathematics"=>1}}, "reader_count_by_country"=>{"Japan"=>1}, "group_count"=>1}

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  • {"files"=>["https://ndownloader.figshare.com/files/855033"], "description"=>"1<p>Indicators include: Having any sexual partners test positive for HIV, suspect or know that regular partner had other sex partners in the last 3 months, ever had vaginal sex when partner was under influence of drugs/alcohol in last 3 months, regular partner was away from home for 1 or more months.</p>2<p>Indicators include: Any exchange of sex for money/food/drugs/shelter, 2 or more sexual partners within last 3 months, ever had vaginal sex under influence of drugs/alcohol in last 3 months, ever used needle for injectable drug use, ever had anal sex.</p>3<p>The remainder had abnormal cytology (defined as atypical squamous cells of undetermined significance or worse), unsatisfactory tests, or missing results.</p>4<p>At least one positive test for <i>N gonorrhoeae</i>, <i>C trachomatis</i>, <i>Trichomoniasis vaginalis</i> or syphilis at screening or enrollment.</p>", "links"=>[], "tags"=>["characteristics", "baseline"], "article_id"=>525479, "categories"=>["Computational Biology", "Cancer", "Evolutionary Biology", "Medicine"], "users"=>["Karen K. Smith-McCune", "Stephen Shiboski", "Mike Z. Chirenje", "Tsitsi Magure", "Jennifer Tuveson", "Yifei Ma", "Maria Da Costa", "Anna-Barbara Moscicki", "Joel M. Palefsky", "Rudo Makunike-Mutasa", "Tsungai Chipato", "Ariane van der Straten", "George F. Sawaya"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0010094.t001", "stats"=>{"downloads"=>2, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Demographic_behavioral_and_biological_clinical_characteristics_of_participants_at_baseline_N_8202_8202_2040_/525479", "title"=>"Demographic, behavioral, and biological/clinical characteristics of participants at baseline (N = 2040).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 01:54:33"}
  • {"files"=>["https://ndownloader.figshare.com/files/854845"], "description"=>"1<p>Adjusted for <u>Baseline variables</u>: study arm, high risk behavior (as defined in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010094#pone-0010094-t001\" target=\"_blank\">Table 1</a> footnote), high risk partner (as defined in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010094#pone-0010094-t001\" target=\"_blank\">Table 1</a> footnote), positive test for <i>N gonorrhoeae</i>, <i>C trachomatis</i>, <i>Trichomoniasis vaginalis</i> or syphilis, cohabiting with sexual partner, age 25–34 years or >35 years (compared to age ≤24 years), positive serology for HSV-2, no condom use within the prior 3 months (compared to sometimes or always using condoms), and regular partner not circumcised and <u>Time-dependent variables</u>: condom non-use since last visit; new partner since last visit; circumcision status of new partner; incident infection since the last visit with HSV-2, <i>N gonorrhoeae</i>, <i>C trachomatis</i>, <i>Trichomoniasis vaginalis</i>.</p>2<p>Non-oncogenic types defined as types 6, 11, 32, 40, 54, 55, 61, 69, 70, 83, 84, “mix”, and untyped.</p>3<p>Oncogenic types defined as 16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73 and 82v.</p>", "links"=>[], "tags"=>["hpv", "predictor", "hiv"], "article_id"=>525285, "categories"=>["Computational Biology", "Cancer", "Evolutionary Biology", "Medicine"], "users"=>["Karen K. Smith-McCune", "Stephen Shiboski", "Mike Z. Chirenje", "Tsitsi Magure", "Jennifer Tuveson", "Yifei Ma", "Maria Da Costa", "Anna-Barbara Moscicki", "Joel M. Palefsky", "Rudo Makunike-Mutasa", "Tsungai Chipato", "Ariane van der Straten", "George F. Sawaya"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0010094.t004", "stats"=>{"downloads"=>4, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Concurrent_HPV_infection_as_a_predictor_of_HIV_acquisition_/525285", "title"=>"Concurrent HPV infection as a predictor of HIV acquisition.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 01:53:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/854990"], "description"=>"1<p>Adjusted for the following baseline characteristics: high risk partner (as defined in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010094#pone-0010094-t001\" target=\"_blank\">Table 1</a> footnote), positive test for <i>N gonorrhoeae</i>, <i>C trachomatis</i>, <i>Trichomoniasis vaginalis</i> or syphilis, cohabiting with sexual partner, age 25–34 years or >35 years (compared to age ≤24 years), and positive serology for HSV-2.</p>2<p>Non-oncogenic HPV types defined as types 6, 11, 32, 40, 54, 55, 61, 69, 70, 83, 84 (mixed and untyped infections are excluded from the analysis).</p>3<p>Oncogenic HPV types defined as 16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73 and 82v.</p>", "links"=>[], "tags"=>["non-persistent", "hpv", "predictors", "hiv"], "article_id"=>525435, "categories"=>["Computational Biology", "Cancer", "Evolutionary Biology", "Medicine"], "users"=>["Karen K. Smith-McCune", "Stephen Shiboski", "Mike Z. Chirenje", "Tsitsi Magure", "Jennifer Tuveson", "Yifei Ma", "Maria Da Costa", "Anna-Barbara Moscicki", "Joel M. Palefsky", "Rudo Makunike-Mutasa", "Tsungai Chipato", "Ariane van der Straten", "George F. Sawaya"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0010094.t003", "stats"=>{"downloads"=>0, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Persistent_and_non_persistent_HPV_infection_as_predictors_of_HIV_acquisition_/525435", "title"=>"Persistent and non-persistent HPV infection as predictors of HIV acquisition.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 01:54:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/854900"], "description"=>"1<p>Adjusted for <u>Baseline variables</u>: study arm, high risk behavior (as defined in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010094#pone-0010094-t001\" target=\"_blank\">Table 1</a> footnote), high risk partner (as defined in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010094#pone-0010094-t001\" target=\"_blank\">Table 1</a> footnote), positive test for <i>N gonorrhoeae</i>, <i>C trachomatis</i>, <i>Trichomoniasis vaginalis</i> or syphilis, cohabiting with sexual partner, age 25–34 years or >35 years (compared to age ≤24 years), positive serology for HSV-2, no condom use within the prior 3 months (compared to sometimes or always using condoms), and regular partner not circumcised and <u>Time-dependent variables</u>: condom non-use since last visit; new partner since last visit; circumcision status of new partner; incident infection since the last visit with HSV-2, <i>N gonorrhoeae</i>, <i>C trachomatis</i>, <i>Trichomoniasis vaginalis</i>.</p>2<p>Non-oncogenic types defined as types 6, 11, 32, 40, 54, 55, 61, 69, 70, 83, 84, “mix”, and untyped.</p>3<p>Oncogenic types defined as 16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73 and 82v.</p>", "links"=>[], "tags"=>["hpv", "months", "hiv", "predictor"], "article_id"=>525346, "categories"=>["Computational Biology", "Cancer", "Evolutionary Biology", "Medicine"], "users"=>["Karen K. Smith-McCune", "Stephen Shiboski", "Mike Z. Chirenje", "Tsitsi Magure", "Jennifer Tuveson", "Yifei Ma", "Maria Da Costa", "Anna-Barbara Moscicki", "Joel M. Palefsky", "Rudo Makunike-Mutasa", "Tsungai Chipato", "Ariane van der Straten", "George F. Sawaya"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0010094.t005", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Recent_HPV_infection_within_6_months_of_HIV_acquisition_visit_as_a_predictor_of_HIV_acquisition_/525346", "title"=>"Recent HPV infection (within 6 months of HIV acquisition visit) as a predictor of HIV acquisition.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 01:53:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/854945"], "description"=>"1<p>Adjusted for the following baseline characteristics: high risk partner (as defined in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010094#pone-0010094-t001\" target=\"_blank\">Table 1</a> footnote), positive test for <i>N gonorrhoeae</i>, <i>C trachomatis</i>, <i>Trichomoniasis vaginalis</i> or syphilis, cohabiting with regular sexual partner, age 25–34 years or >35 years (compared to age ≤24 years), positive serology for HSV-2, no condom use within the prior 3 months (compared to sometimes or always using condoms), and regular partner not circumcised.</p>2<p>Non-oncogenic HPV types defined as types 6, 11, 32, 40, 54, 55, 61, 69, 70, 83, 84, “mix”, and untyped.</p>3<p>Oncogenic HPV types defined as 16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73 and 82v.</p>", "links"=>[], "tags"=>["hpv", "predictor", "hiv"], "article_id"=>525391, "categories"=>["Computational Biology", "Cancer", "Evolutionary Biology", "Medicine"], "users"=>["Karen K. Smith-McCune", "Stephen Shiboski", "Mike Z. Chirenje", "Tsitsi Magure", "Jennifer Tuveson", "Yifei Ma", "Maria Da Costa", "Anna-Barbara Moscicki", "Joel M. Palefsky", "Rudo Makunike-Mutasa", "Tsungai Chipato", "Ariane van der Straten", "George F. Sawaya"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0010094.t002", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prevalent_HPV_infection_as_a_predictor_of_HIV_acquisition_/525391", "title"=>"Prevalent HPV infection as a predictor of HIV acquisition.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 01:54:03"}

PMC Usage Stats | Further Information

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