OBJECTIVES: To characterize HIV-1 epidemiological networks of men having sex with men (MSM) and drug users (DUs) in the Netherlands for >30 years. DESIGN AND METHODS: Previously, we demonstrated different origin of the HIV-1 epidemics in Dutch MSM and DUs. To achieve the study objectives, risk group-specific genetic markers in the pol gene were examined in 315 participants of the Amsterdam Cohort Studies on HIV/AIDS who were registered as HIV-1 infected in 1981-2011. RESULTS: Phylogenetic analysis demonstrated circulation of distinct virus strains in the 2 networks, with 98% of viruses of MSM clustering together and apart from strains of 73% DUs. Nine genetic markers that significantly distinguished virus strains specific for DUs were identified, of which 3 were ≥90% conserved. Over the total observation period, only 6% of viruses (4 of MSM and 14 of DUs) clustered with those of the other risk group. Among these sequences, the 3 most conserved genetic markers of that other risk group were 87% conserved.All 4 cases of DU-specific viruses among MSM occurred in 1980s-early 1990s. Viruses nonspecific for DUs were causing new infections among DUs at the rate of 20% till 2002 and replaced DU-specific strains among new infections thereafter, coinciding with switching of DUs to low-harm drug practices. CONCLUSIONS: Dutch MSM and DUs have remained separate epidemiological networks for decades, despite their geographical and behavioral overlap. Switching to low-harm drug practices among DUs resulted in new infections caused by HIV-1 strains originating from other risk groups.
OBJECTIVES: To characterize HIV-1 epidemiological networks of men having sex with men (MSM) and drug users (DUs) in the Netherlands for >30 years. DESIGN AND METHODS: Previously, we demonstrated different origin of the HIV-1 epidemics in Dutch MSM and DUs. To achieve the study objectives, risk group-specific genetic markers in the pol gene were examined in 315 participants of the Amsterdam Cohort Studies on HIV/AIDS who were registered as HIV-1 infected in 1981-2011. RESULTS: Phylogenetic analysis demonstrated circulation of distinct virus strains in the 2 networks, with 98% of viruses of MSM clustering together and apart from strains of 73% DUs. Nine genetic markers that significantly distinguished virus strains specific for DUs were identified, of which 3 were ≥90% conserved. Over the total observation period, only 6% of viruses (4 of MSM and 14 of DUs) clustered with those of the other risk group. Among these sequences, the 3 most conserved genetic markers of that other risk group were 87% conserved.All 4 cases of DU-specific viruses among MSM occurred in 1980s-early 1990s. Viruses nonspecific for DUs were causing new infections among DUs at the rate of 20% till 2002 and replaced DU-specific strains among new infections thereafter, coinciding with switching of DUs to low-harm drug practices. CONCLUSIONS: Dutch MSM and DUs have remained separate epidemiological networks for decades, despite their geographical and behavioral overlap. Switching to low-harm drug practices among DUs resulted in new infections caused by HIV-1 strains originating from other risk groups.
Authors: Bep Klaver; Yme van der Velden; Formijn van Hemert; Antoinette C van der Kuyl; Ben Berkhout Journal: Retrovirology Date: 2017-09-05 Impact factor: 4.602
Authors: Nienke van der Knaap; Bart P X Grady; Maarten F Schim van der Loeff; Titia Heijman; Arjen Speksnijder; Ronald Geskus; Maria Prins Journal: PLoS One Date: 2013-03-18 Impact factor: 3.240
Authors: Antoinette C van der Kuyl; Margreet Bakker; Suzanne Jurriaans; Nicole K T Back; Alexander O Pasternak; Marion Cornelissen; Ben Berkhout Journal: Retrovirology Date: 2013-08-28 Impact factor: 4.602
Authors: Andy A Patamawenu; Nathaniel E Wright; Tulley Shofner; Sean Evans; Maura M Manion; Nicole Doria-Rose; Stephen A Migueles; Daniel Mendoza; Bennett Peterson; Christopher Wilhelm; Julia Rood; Amy Berkley; Nancy A Cogliano; C Jason Liang; Kiki Tesselaar; Frank Miedema; Julian Bess; Jeffrey Lifson; Mark Connors Journal: PLoS One Date: 2019-12-12 Impact factor: 3.240