Michel D Wissing1, Karolina Louvanto1,2, Emilie Comète3, Ann N Burchell1,4, Mariam El-Zein1, Allita Rodrigues1, Pierre-Paul Tellier5, François Coutlée3, Eduardo L Franco1. 1. Gerald Bronfman Department of Oncology, Division of Cancer Epidemiology, McGill University, Montreal, Quebec, Canada. 2. Department of Gynaecology and Obstetrics, Helsinki University Hospital, Finland. 3. Departement de Biologie médicale et service de microbiologie, Centre Hospitalier de l'Université de Montréal, Université de Montréal, Quebec. 4. Department of Family and Community Medicine and Centre for Research on Inner City Health, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario. 5. Department of Family Medicine, McGill University, Montreal, Quebec, Canada.
Abstract
BACKGROUND: We studied the association between human papillomavirus (HPV) viral load (VL) and HPV concordance. METHODS: The HITCH cohort study included young, heterosexual, recently formed, sexually active couples. Questionnaires and genital samples were collected at 0 and 4 months. Samples were tested for HPV DNA by polymerase chain reaction (PCR; Linear Array). VLs of HPV6/11/16/18/31/42/51 were quantified using type-specific real-time PCR. Correlations between VL and type-specific HPV prevalence and incidence were evaluated using multilevel, mixed-effects linear/logistic regression models. RESULTS: We included 492 couples. VLs were higher in penile than vaginal samples. VL at subsequent visits correlated significantly within men (r, 0.373), within women (r, 0.193), and within couples (r range: 0.303-0.328). Men with high VL had more type-specific persistent HPV infections (odds ratio [OR], 4.6 [95% confidence interval {CI}, 2.0-10.5]). High VL in men was associated with prevalent (OR, 5.3 [95% CI, 2.5-11.2]) and incident (OR, 6.7 [95% CI, 1.5-30.7]) type-specific HPV infections in their partner. Women's VL was associated with type-specific HPV prevalence in their partner at the same (OR, 5.9) and subsequent (OR, 4.7) visit. CONCLUSIONS: Persistent HPV infections have limited VL fluctuations. VL between sex partners are correlated and seem predictive of transmission episodes.
BACKGROUND: We studied the association between human papillomavirus (HPV) viral load (VL) and HPV concordance. METHODS: The HITCH cohort study included young, heterosexual, recently formed, sexually active couples. Questionnaires and genital samples were collected at 0 and 4 months. Samples were tested for HPV DNA by polymerase chain reaction (PCR; Linear Array). VLs of HPV6/11/16/18/31/42/51 were quantified using type-specific real-time PCR. Correlations between VL and type-specific HPV prevalence and incidence were evaluated using multilevel, mixed-effects linear/logistic regression models. RESULTS: We included 492 couples. VLs were higher in penile than vaginal samples. VL at subsequent visits correlated significantly within men (r, 0.373), within women (r, 0.193), and within couples (r range: 0.303-0.328). Men with high VL had more type-specific persistent HPV infections (odds ratio [OR], 4.6 [95% confidence interval {CI}, 2.0-10.5]). High VL in men was associated with prevalent (OR, 5.3 [95% CI, 2.5-11.2]) and incident (OR, 6.7 [95% CI, 1.5-30.7]) type-specific HPV infections in their partner. Women's VL was associated with type-specific HPV prevalence in their partner at the same (OR, 5.9) and subsequent (OR, 4.7) visit. CONCLUSIONS: Persistent HPV infections have limited VL fluctuations. VL between sex partners are correlated and seem predictive of transmission episodes.
Authors: François Coutlée; Danielle Rouleau; Patrick Petignat; Georges Ghattas; Janet R Kornegay; Peter Schlag; Sean Boyle; Catherine Hankins; Sylvie Vézina; Pierre Coté; John Macleod; Hélène Voyer; Pierre Forest; Sharon Walmsley; Eduardo Franco Journal: J Clin Microbiol Date: 2006-06 Impact factor: 5.948
Authors: N F Schlecht; S Kulaga; J Robitaille; S Ferreira; M Santos; R A Miyamura; E Duarte-Franco; T E Rohan; A Ferenczy; L L Villa; E L Franco Journal: JAMA Date: 2001-12-26 Impact factor: 56.272
Authors: Nicolas F Schlecht; Andrea Trevisan; Eliane Duarte-Franco; Thomas E Rohan; Alex Ferenczy; Luisa L Villa; Eduardo L Franco Journal: Int J Cancer Date: 2003-02-10 Impact factor: 7.396
Authors: Maaike C G Bleeker; Cornelis J A Hogewoning; Johannes Berkhof; Feja J Voorhorst; Albertus T Hesselink; Pien M van Diemen; Adriaan J C van den Brule; Peter J F Snijders; Chris J L M Meijer Journal: Clin Infect Dis Date: 2005-07-25 Impact factor: 9.079
Authors: Ann N Burchell; Harriet Richardson; Salaheddin M Mahmud; Helen Trottier; Pierre P Tellier; James Hanley; François Coutlée; Eduardo L Franco Journal: Am J Epidemiol Date: 2006-01-18 Impact factor: 4.897
Authors: N Ylitalo; P Sørensen; A M Josefsson; P K Magnusson; P K Andersen; J Pontén; H O Adami; U B Gyllensten; M Melbye Journal: Lancet Date: 2000-06-24 Impact factor: 79.321
Authors: Maaike C G Bleeker; Cornelis J A Hogewoning; Feja J Voorhorst; Adriaan J C van den Brule; Johannes Berkhof; Albertus T Hesselink; Marjolein Lettink; Theo M Starink; Tom J Stoof; Peter J F Snijders; Chris J L M Meijer Journal: Int J Cancer Date: 2005-01-01 Impact factor: 7.396
Authors: Nubia Muñoz; F Xavier Bosch; Xavier Castellsagué; Mireia Díaz; Silvia de Sanjose; Doudja Hammouda; Keerti V Shah; Chris J L M Meijer Journal: Int J Cancer Date: 2004-08-20 Impact factor: 7.396
Authors: Rachel L Winer; Shu-Kuang Lee; James P Hughes; Diane E Adam; Nancy B Kiviat; Laura A Koutsky Journal: Am J Epidemiol Date: 2003-02-01 Impact factor: 4.897
Authors: Michel D Wissing; Ann N Burchell; Mariam El-Zein; Pierre-Paul Tellier; François Coutlée; Eduardo L Franco Journal: Cancer Epidemiol Biomarkers Prev Date: 2019-09-05 Impact factor: 4.254