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Blenkinsop A, Monod M, Sighem AV, Pantazis N, Bezemer D, Op de Coul E, van de Laar T, Fraser C, Prins M, Reiss P, de Bree GJ, Ratmann O. Estimating the potential to prevent locally acquired HIV infections in a UNAIDS Fast-Track City, Amsterdam. eLife 2022; 11:76487. [PMID: 35920649 PMCID: PMC9545569 DOI: 10.7554/elife.76487] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
Background: More than 300 cities including the city of Amsterdam in the Netherlands have joined the UNAIDS Fast-Track Cities initiative, committing to accelerate their HIV response and end the AIDS epidemic in cities by 2030. To support this commitment, we aimed to estimate the number and proportion of Amsterdam HIV infections that originated within the city, from Amsterdam residents. We also aimed to estimate the proportion of recent HIV infections during the 5-year period 2014–2018 in Amsterdam that remained undiagnosed. Methods: We located diagnosed HIV infections in Amsterdam using postcode data (PC4) at time of registration in the ATHENA observational HIV cohort, and used HIV sequence data to reconstruct phylogeographically distinct, partially observed Amsterdam transmission chains. Individual-level infection times were estimated from biomarker data, and used to date the phylogenetically observed transmission chains as well as to estimate undiagnosed proportions among recent infections. A Bayesian Negative Binomial branching process model was used to estimate the number, size, and growth of the unobserved Amsterdam transmission chains from the partially observed phylogenetic data. Results: Between 1 January 2014 and 1 May 2019, there were 846 HIV diagnoses in Amsterdam residents, of whom 516 (61%) were estimated to have been infected in 2014–2018. The rate of new Amsterdam diagnoses since 2014 (104 per 100,000) remained higher than the national rates excluding Amsterdam (24 per 100,000), and in this sense Amsterdam remained a HIV hotspot in the Netherlands. An estimated 14% [12–16%] of infections in Amsterdan MSM in 2014–2018 remained undiagnosed by 1 May 2019, and 41% [35–48%] in Amsterdam heterosexuals, with variation by region of birth. An estimated 67% [60–74%] of Amsterdam MSM infections in 2014–2018 had an Amsterdam resident as source, and 56% [41–70%] in Amsterdam heterosexuals, with heterogeneity by region of birth. Of the locally acquired infections, an estimated 43% [37–49%] were in foreign-born MSM, 41% [35–47%] in Dutch-born MSM, 10% [6–18%] in foreign-born heterosexuals, and 5% [2–9%] in Dutch-born heterosexuals. We estimate the majority of Amsterdam MSM infections in 2014–2018 originated in transmission chains that pre-existed by 2014. Conclusions: This combined phylogenetic, epidemiologic, and modelling analysis in the UNAIDS Fast-Track City Amsterdam indicates that there remains considerable potential to prevent HIV infections among Amsterdam residents through city-level interventions. The burden of locally acquired infection remains concentrated in MSM, and both Dutch-born and foreign-born MSM would likely benefit most from intensified city-level interventions. Funding: This study received funding as part of the H-TEAM initiative from Aidsfonds (project number P29701). The H-TEAM initiative is being supported by Aidsfonds (grant number: 2013169, P29701, P60803), Stichting Amsterdam Dinner Foundation, Bristol-Myers Squibb International Corp. (study number: AI424-541), Gilead Sciences Europe Ltd (grant number: PA-HIV-PREP-16-0024), Gilead Sciences (protocol numbers: CO-NL-276-4222, CO-US-276-1712, CO-NL-985-6195), and M.A.C AIDS Fund.
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Affiliation(s)
| | - Mélodie Monod
- Department of Mathematics, Imperial College London, London, United Kingdom
| | | | - Nikos Pantazis
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens, Athens, Greece
| | | | - Eline Op de Coul
- Center for Infectious Diseases Prevention and Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Thijs van de Laar
- Department of Donor Medicine Research, Sanquin, Amsterdam, Netherlands
| | - Christophe Fraser
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Maria Prins
- Academic Medical Center, Amsterdam, Netherlands
| | - Peter Reiss
- Department of Global Health, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Godelieve J de Bree
- Department of Global Health, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Oliver Ratmann
- Department of Mathematics, Imperial College London, London, United Kingdom
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2
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Wymant C, Bezemer D, Blanquart F, Ferretti L, Gall A, Hall M, Golubchik T, Bakker M, Ong SH, Zhao L, Bonsall D, de Cesare M, MacIntyre-Cockett G, Abeler-Dörner L, Albert J, Bannert N, Fellay J, Grabowski MK, Gunsenheimer-Bartmeyer B, Günthard HF, Kivelä P, Kouyos RD, Laeyendecker O, Meyer L, Porter K, Ristola M, van Sighem A, Berkhout B, Kellam P, Cornelissen M, Reiss P, Fraser C, Aubert V, Battegay M, Bernasconi E, Böni J, Braun DL, Bucher HC, Burton-Jeangros C, Calmy A, Cavassini M, Dollenmaier G, Egger M, Elzi L, Fehr J, Fellay J, Furrer H, Fux CA, Gorgievski M, Günthard H, Haerry D, Hasse B, Hirsch HH, Hoffmann M, Hösli I, Kahlert C, Kaiser L, Keiser O, Klimkait T, Kouyos R, Kovari H, Ledergerber B, Martinetti G, de Tejada BM, Marzolini C, Metzner K, Müller N, Nadal D, Nicca D, Pantaleo G, Rauch A, Regenass S, Rudin C, Schöni-Affolter F, Schmid P, Speck R, Stöckle M, Tarr P, Trkola A, Vernazza P, Weber R, Yerly S, van der Valk M, Geerlings SE, Goorhuis A, Hovius JW, Lempkes B, Nellen FJB, van der Poll T, Prins JM, Reiss P, van Vugt M, Wiersinga WJ, Wit FWMN, van Duinen M, van Eden J, Hazenberg A, van Hes AMH, Rajamanoharan S, Robinson T, Taylor B, Brewer C, Mayr C, Schmidt W, Speidel A, Strohbach F, Arastéh K, Cordes C, Pijnappel FJJ, Stündel M, Claus J, Baumgarten A, Carganico A, Ingiliz P, Dupke S, Freiwald M, Rausch M, Moll A, Schleehauf D, Smalhout SY, Hintsche B, Klausen G, Jessen H, Jessen A, Köppe S, Kreckel P, Schranz D, Fischer K, Schulbin H, Speer M, Weijsenfeld AM, Glaunsinger T, Wicke T, Bieniek B, Hillenbrand H, Schlote F, Lauenroth-Mai E, Schuler C, Schürmann D, Wesselmann H, Brockmeyer N, Jurriaans S, Gehring P, Schmalöer D, Hower M, Spornraft-Ragaller P, Häussinger D, Reuter S, Esser S, Markus R, Kreft B, Berzow D, Back NKT, Christl A, Meyer A, Plettenberg A, Stoehr A, Graefe K, Lorenzen T, Adam A, Schewe K, Weitner L, Fenske S, Zaaijer HL, Hansen S, Stellbrink HJ, Wiemer D, Hertling S, Schmidt R, Arbter P, Claus B, Galle P, Jäger H, Jä Gel-Guedes E, Berkhout B, Postel N, Fröschl M, Spinner C, Bogner J, Salzberger B, Schölmerich J, Audebert F, Marquardt T, Schaffert A, Schnaitmann E, Cornelissen MTE, Trein A, Frietsch B, Müller M, Ulmer A, Detering-Hübner B, Kern P, Schubert F, Dehn G, Schreiber M, Güler C, Schinkel CJ, Gunsenheimer-Bartmeyer B, Schmidt D, Meixenberger K, Bannert N, Wolthers KC, Peters EJG, van Agtmael MA, Autar RS, Bomers M, Sigaloff KCE, Heitmuller M, Laan LM, Ang CW, van Houdt R, Jonges M, Kuijpers TW, Pajkrt D, Scherpbier HJ, de Boer C, van der Plas A, van den Berge M, Stegeman A, Baas S, Hage de Looff L, Buiting A, Reuwer A, Veenemans J, Wintermans B, Pronk MJH, Ammerlaan HSM, van den Bersselaar DNJ, de Munnik ES, Deiman B, Jansz AR, Scharnhorst V, Tjhie J, Wegdam MCA, van Eeden A, Nellen J, Brokking W, Elsenburg LJM, Nobel H, van Kasteren MEE, Berrevoets MAH, Brouwer AE, Adams A, van Erve R, de Kruijf-van de Wiel BAFM, Keelan-Phaf S, van de Ven B, van der Ven B, Buiting AGM, Murck JL, de Vries-Sluijs TEMS, Bax HI, van Gorp ECM, de Jong-Peltenburg NC, de Mendonç A Melo M, van Nood E, Nouwen JL, Rijnders BJA, Rokx C, Schurink CAM, Slobbe L, Verbon A, Bassant N, van Beek JEA, Vriesde M, van Zonneveld LM, de Groot J, Boucher CAB, Koopmans MPG, van Kampen JJA, Fraaij PLA, van Rossum AMC, Vermont CL, van der Knaap LC, Visser E, Branger J, Douma RA, Cents-Bosma AS, Duijf-van de Ven CJHM, Schippers EF, van Nieuwkoop C, van Ijperen JM, Geilings J, van der Hut G, van Burgel ND, Leyten EMS, Gelinck LBS, Mollema F, Davids-Veldhuis S, Tearno C, Wildenbeest GS, Heikens E, Groeneveld PHP, Bouwhuis JW, Lammers AJJ, Kraan S, van Hulzen AGW, Kruiper MSM, van der Bliek GL, Bor PCJ, Debast SB, Wagenvoort GHJ, Kroon FP, de Boer MGJ, Jolink H, Lambregts MMC, Roukens AHE, Scheper H, Dorama W, van Holten N, Claas ECJ, Wessels E, den Hollander JG, El Moussaoui R, Pogany K, Brouwer CJ, Smit JV, Struik-Kalkman D, van Niekerk T, Pontesilli O, Lowe SH, Oude Lashof AML, Posthouwer D, van Wolfswinkel ME, Ackens RP, Burgers K, Schippers J, Weijenberg-Maes B, van Loo IHM, Havenith TRA, van Vonderen MGA, Kampschreur LM, Faber S, Steeman-Bouma R, Al Moujahid A, Kootstra GJ, Delsing CE, van der Burg-van de Plas M, Scheiberlich L, Kortmann W, van Twillert G, Renckens R, Ruiter-Pronk D, van Truijen-Oud FA, Cohen Stuart JWT, Jansen ER, Hoogewerf M, Rozemeijer W, van der Reijden WA, Sinnige JC, Brinkman K, van den Berk GEL, Blok WL, Lettinga KD, de Regt M, Schouten WEM, Stalenhoef JE, Veenstra J, Vrouenraets SME, Blaauw H, Geerders GF, Kleene MJ, Kok M, Knapen M, van der Meché IB, Mulder-Seeleman E, Toonen AJM, Wijnands S, Wttewaal E, Kwa D, van Crevel R, van Aerde K, Dofferhoff ASM, Henriet SSV, Ter Hofstede HJM, Hoogerwerf J, Keuter M, Richel O, Albers M, Grintjes-Huisman KJT, de Haan M, Marneef M, Strik-Albers R, Rahamat-Langendoen J, Stelma FF, Burger D, Gisolf EH, Hassing RJ, Claassen M, Ter Beest G, van Bentum PHM, Langebeek N, Tiemessen R, Swanink CMA, van Lelyveld SFL, Soetekouw R, van der Prijt LMM, van der Swaluw J, Bermon N, van der Reijden WA, Jansen R, Herpers BL, Veenendaal D, Verhagen DWM, Lauw FN, van Broekhuizen MC, van Wijk M, Bierman WFW, Bakker M, Kleinnijenhuis J, Kloeze E, Middel A, Postma DF, Schölvinck EH, Stienstra Y, Verhage AR, Wouthuyzen-Bakker M, Boonstra A, de Groot-de Jonge H, van der Meulen PA, de Weerd DA, Niesters HGM, van Leer-Buter CC, Knoester M, Hoepelman AIM, Arends JE, Barth RE, Bruns AHW, Ellerbroek PM, Mudrikova T, Oosterheert JJ, Schadd EM, van Welzen BJ, Aarsman K, Griffioen-van Santen BMG, de Kroon I, van Berkel M, van Rooijen CSAM, Schuurman R, Verduyn-Lunel F, Wensing AMJ, Bont LJ, Geelen SPM, Loeffen YGT, Wolfs TFW, Nauta N, Rooijakkers EOW, Holtsema H, Voigt R, van de Wetering D, Alberto A, van der Meer I, Rosingh A, Halaby T, Zaheri S, Boyd AC, Bezemer DO, van Sighem AI, Smit C, Hillebregt M, de Jong A, Woudstra T, Bergsma D, Meijering R, van de Sande L, Rutkens T, van der Vliet S, de Groot L, van den Akker M, Bakker Y, El Berkaoui A, Bezemer M, Brétin N, Djoechro E, Groters M, Kruijne E, Lelivelt KJ, Lodewijk C, Lucas E, Munjishvili L, Paling F, Peeck B, Ree C, Regtop R, Ruijs Y, Schoorl M, Schnörr P, Scheigrond A, Tuijn E, Veenenberg L, Visser KM, Witte EC, Ruijs Y, Van Frankenhuijsen M, Allegre T, Makhloufi D, Livrozet JM, Chiarello P, Godinot M, Brunel-Dalmas F, Gibert S, Trepo C, Peyramond D, Miailhes P, Koffi J, Thoirain V, Brochier C, Baudry T, Pailhes S, Lafeuillade A, Philip G, Hittinger G, Assi A, Lambry V, Rosenthal E, Naqvi A, Dunais B, Cua E, Pradier C, Durant J, Joulie A, Quinsat D, Tempesta S, Ravaux I, Martin IP, Faucher O, Cloarec N, Champagne H, Pichancourt G, Morlat P, Pistone T, Bonnet F, Mercie P, Faure I, Hessamfar M, Malvy D, Lacoste D, Pertusa MC, Vandenhende MA, Bernard N, Paccalin F, Martell C, Roger-Schmelz J, Receveur MC, Duffau P, Dondia D, Ribeiro E, Caltado S, Neau D, Dupont M, Dutronc H, Dauchy F, Cazanave C, Vareil MO, Wirth G, Le Puil S, Pellegrin JL, Raymond I, Viallard JF, Chaigne de Lalande S, Garipuy D, Delobel P, Obadia M, Cuzin L, Alvarez M, Biezunski N, Porte L, Massip P, Debard A, Balsarin F, Lagarrigue M, Prevoteau du Clary F, Aquilina C, Reynes J, Baillat V, Merle C, Lemoing V, Atoui N, Makinson A, Jacquet JM, Psomas C, Tramoni C, Aumaitre H, Saada M, Medus M, Malet M, Eden A, Neuville S, Ferreyra M, Sotto A, Barbuat C, Rouanet I, Leureillard D, Mauboussin JM, Lechiche C, Donsesco R, Cabie A, Abel S, Pierre-Francois S, Batala AS, Cerland C, Rangom C, Theresine N, Hoen B, Lamaury I, Fabre I, Schepers K, Curlier E, Ouissa R, Gaud C, Ricaud C, Rodet R, Wartel G, Sautron C, Beck-Wirth G, Michel C, Beck C, Halna JM, Kowalczyk J, Benomar M, Drobacheff-Thiebaut C, Chirouze C, Faucher JF, Parcelier F, Foltzer A, Haffner-Mauvais C, Hustache Mathieu M, Proust A, Piroth L, Chavanet P, Duong M, Buisson M, Waldner A, Mahy S, Gohier S, Croisier D, May T, Delestan M, Andre M, Zadeh MM, Martinot M, Rosolen B, Pachart A, Martha B, Jeunet N, Rey D, Cheneau C, Partisani M, Priester M, Bernard-Henry C, Batard ML, Fischer P, Berger JL, Kmiec I, Robineau O, Huleux T, Ajana F, Alcaraz I, Allienne C, Baclet V, Meybeck A, Valette M, Viget N, Aissi E, Biekre R, Cornavin P, Merrien D, Seghezzi JC, Machado M, Diab G, Raffi F, Bonnet B, Allavena C, Grossi O, Reliquet V, Billaud E, Brunet C, Bouchez S, Morineau-Le Houssine P, Sauser F, Boutoille D, Besnier M, Hue H, Hall N, Brosseau D, Souala F, Michelet C, Tattevin P, Arvieux C, Revest M, Leroy H, Chapplain JM, Dupont M, Fily F, Patra-Delo S, Lefeuvre C, Bernard L, Bastides F, Nau P, Verdon R, de la Blanchardiere A, Martin A, Feret P, Geffray L, Daniel C, Rohan J, Fialaire P, Chennebault JM, Rabier V, Abgueguen P, Rehaiem S, Luycx O, Niault M, Moreau P, Poinsignon Y, Goussef M, Mouton-Rioux V, Houlbert D, Alvarez-Huve S, Barbe F, Haret S, Perre P, Leantez-Nainville S, Esnault JL, Guimard T, Suaud I, Girard JJ, Simonet V, Debab Y, Schmit JL, Jacomet C, Weinberck P, Genet C, Pinet P, Ducroix S, Durox H, Denes É, Abraham B, Gourdon F, Antoniotti O, Molina JM, Ferret S, Lascoux-Combe C, Lafaurie M, Colin de Verdiere N, Ponscarme D, De Castro N, Aslan A, Rozenbaum W, Pintado C, Clavel F, Taulera O, Gatey C, Munier AL, Gazaigne S, Penot P, Conort G, Lerolle N, Leplatois A, Balausine S, Delgado J, Timsit J, Tabet M, Gerard L, Girard PM, Picard O, Tredup J, Bollens D, Valin N, Campa P, Bottero J, Lefebvre B, Tourneur M, Fonquernie L, Wemmert C, Lagneau JL, Yazdanpanah Y, Phung B, Pinto A, Vallois D, Cabras O, Louni F, Pialoux G, Lyavanc T, Berrebi V, Chas J, Lenagat S, Rami A, Diemer M, Parrinello M, Depond A, Salmon D, Guillevin L, Tahi T, Belarbi L, Loulergue P, Zak Dit Zbar O, Launay O, Silbermann B, Leport C, Alagna L, Pietri MP, Simon A, Bonmarchand M, Amirat N, Pichon F, Kirstetter M, Katlama C, Valantin MA, Tubiana R, Caby F, Schneider L, Ktorza N, Calin R, Merlet A, Ben Abdallah S, Weiss L, Buisson M, Batisse D, Karmochine M, Pavie J, Minozzi C, Jayle D, Castel P, Derouineau J, Kousignan P, Eliazevitch M, Pierre I, Collias L, Viard JP, Gilquin J, Sobel A, Slama L, Ghosn J, Hadacek B, Thu-Huyn N, Nait-Ighil L, Cros A, Maignan A, Duvivier C, Consigny PH, Lanternier F, Shoai-Tehrani M, Touam F, Jerbi S, Bodard L, Jung C, Goujard C, Quertainmont Y, Duracinsky M, Segeral O, Blanc A, Peretti D, Cheret A, Chantalat C, Dulucq MJ, Levy Y, Lelievre JD, Lascaux AS, Dumont C, Boue F, Chambrin V, Abgrall S, Kansau I, Raho-Moussa M, De Truchis P, Dinh A, Davido B, Marigot D, Berthe H, Devidas A, Chevojon P, Chabrol A, Agher N, Lemercier Y, Chaix F, Turpault I, Bouchaud O, Honore P, Rouveix E, Reimann E, Belan AG, Godin Collet C, Souak S, Mortier E, Bloch M, Simonpoli AM, Manceron V, Cahitte I, Hiraux E, Lafon E, Cordonnier F, Zeng AF, Zucman D, Majerholc C, Bornarel D, Uludag A, Gellen-Dautremer J, Lefort A, Bazin C, Daneluzzi V, Gerbe J, Jeantils V, Coupard M, Patey O, Bantsimba J, Delllion S, Paz PC, Cazenave B, Richier L, Garrait V, Delacroix I, Elharrar B, Vittecoq D, Bolliot C, Lepretre A, Genet P, Masse V, Perrone V, Boussard JL, Chardon P, Froguel E, Simon P, Tassi S, Avettand Fenoel V, Barin F, Bourgeois C, Cardon F, Chaix ML, Delfraissy JF, Essat A, Fischer H, Lecuroux C, Meyer L, Petrov-Sanchez V, Rouzioux C, Saez-Cirion A, Seng R, Kuldanek K, Mullaney S, Young C, Zucchetti A, Bevan MA, McKernan S, Wandolo E, Richardson C, Youssef E, Green P, Faulkner S, Faville R, Herman S, Care C, Blackman H, Bellenger K, Fairbrother K, Phillips A, Babiker A, Delpech V, Fidler S, Clarke M, Fox J, Gilson R, Goldberg D, Hawkins D, Johnson A, Johnson M, McLean K, Nastouli E, Post F, Kennedy N, Pritchard J, Andrady U, Rajda N, Donnelly C, McKernan S, Drake S, Gilleran G, White D, Ross J, Harding J, Faville R, Sweeney J, Flegg P, Toomer S, Wilding H, Woodward R, Dean G, Richardson C, Perry N, Gompels M, Jennings L, Bansaal D, Browing M, Connolly L, Stanley B, Estreich S, Magdy A, O'Mahony C, Fraser P, Jebakumar SPR, David L, Mette R, Summerfield H, Evans M, White C, Robertson R, Lean C, Morris S, Winter A, Faulkner S, Goorney B, Howard L, Fairley I, Stemp C, Short L, Gomez M, Young F, Roberts M, Green S, Sivakumar K, Minton J, Siminoni A, Calderwood J, Greenhough D, DeSouza C, Muthern L, Orkin C, Murphy S, Truvedi M, McLean K, Hawkins D, Higgs C, Moyes A, Antonucci S, McCormack S, Lynn W, Bevan M, Fox J, Teague A, Anderson J, Mguni S, Post F, Campbell L, Mazhude C, Russell H, Gilson R, Carrick G, Ainsworth J, Waters A, Byrne P, Johnson M, Fidler S, Kuldanek K, Mullaney S, Lawlor V, Melville R, Sukthankar A, Thorpe S, Murphy C, Wilkins E, Ahmad S, Green P, Tayal S, Ong E, Meaden J, Riddell L, Loay D, Peacock K, Blackman H, Harindra V, Saeed AM, Allen S, Natarajan U, Williams O, Lacey H, Care C, Bowman C, Herman S, Devendra SV, Wither J, Bridgwood A, Singh G, Bushby S, Kellock D, Young S, Rooney G, Snart B, Currie J, Fitzgerald M, Arumainayyagam J, Chandramani S. A highly virulent variant of HIV-1 circulating in the Netherlands. Science 2022; 375:540-545. [PMID: 35113714 DOI: 10.1126/science.abk1688] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
We discovered a highly virulent variant of subtype-B HIV-1 in the Netherlands. One hundred nine individuals with this variant had a 0.54 to 0.74 log10 increase (i.e., a ~3.5-fold to 5.5-fold increase) in viral load compared with, and exhibited CD4 cell decline twice as fast as, 6604 individuals with other subtype-B strains. Without treatment, advanced HIV-CD4 cell counts below 350 cells per cubic millimeter, with long-term clinical consequences-is expected to be reached, on average, 9 months after diagnosis for individuals in their thirties with this variant. Age, sex, suspected mode of transmission, and place of birth for the aforementioned 109 individuals were typical for HIV-positive people in the Netherlands, which suggests that the increased virulence is attributable to the viral strain. Genetic sequence analysis suggests that this variant arose in the 1990s from de novo mutation, not recombination, with increased transmissibility and an unfamiliar molecular mechanism of virulence.
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Affiliation(s)
- Chris Wymant
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - François Blanquart
- Centre for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, PSL Research University, Paris, France.,IAME, UMR 1137, INSERM, Université de Paris, Paris, France
| | - Luca Ferretti
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Astrid Gall
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Matthew Hall
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Tanya Golubchik
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Margreet Bakker
- Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Swee Hoe Ong
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Lele Zhao
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - David Bonsall
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Mariateresa de Cesare
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - George MacIntyre-Cockett
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Lucie Abeler-Dörner
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Jan Albert
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden
| | - Norbert Bannert
- Division for HIV and Other Retroviruses, Department of Infectious Diseases, Robert Koch Institute, Berlin, Germany
| | - Jacques Fellay
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland.,Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - M Kate Grabowski
- Department of Pathology, John Hopkins University, Baltimore, MD, USA
| | | | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Pia Kivelä
- Department of Infectious Diseases, Helsinki University Hospital, Helsinki, Finland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | | | - Laurence Meyer
- INSERM CESP U1018, Université Paris Saclay, APHP, Service de Santé Publique, Hôpital de Bicêtre, Le Kremlin-Bicêtre, France
| | - Kholoud Porter
- Institute for Global Health, University College London, London, UK
| | - Matti Ristola
- Department of Infectious Diseases, Helsinki University Hospital, Helsinki, Finland
| | | | - Ben Berkhout
- Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Paul Kellam
- Kymab Ltd., Cambridge, UK.,Department of Infectious Diseases, Faculty of Medicine, Imperial College London, London, UK
| | - Marion Cornelissen
- Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.,Molecular Diagnostic Unit, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Peter Reiss
- Stichting HIV Monitoring, Amsterdam, Netherlands.,Department of Global Health, Amsterdam University Medical Centers, University of Amsterdam and Amsterdam Institute for Global Health and Development, Amsterdam, Netherlands
| | - Christophe Fraser
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
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3
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Bezemer D, Blenkinsop A, Hall M, van Sighem A, Cornelissen M, Wessels E, van Kampen J, van de Laar T, Reiss P, Fraser C, Ratmann O. Many but small HIV-1 non-B transmission chains in the Netherlands. AIDS 2022; 36:83-94. [PMID: 34618753 PMCID: PMC8655833 DOI: 10.1097/qad.0000000000003074] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 08/26/2021] [Accepted: 09/13/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The aim of this study was to investigate introductions and spread of different HIV-1 subtypes in the Netherlands. DESIGN We identified distinct HIV-1 transmission chains in the Netherlands within the global epidemic context through viral phylogenetic analysis of partial HIV-1 polymerase sequences from individuals enrolled in the ATHENA national HIV cohort of all persons in care since 1996, and publicly available international background sequences. METHODS Viral lineages circulating in the Netherlands were identified through maximum parsimony phylogeographic analysis. The proportion of HIV-1 infections acquired in-country among heterosexuals and MSM was estimated from phylogenetically observed, national transmission chains using a branching process model that accounts for incomplete sampling. RESULTS As of 1 January 2019, 2589 (24%) of 10 971 (41%) HIV-1 sequenced individuals in ATHENA had non-B subtypes (A1, C, D, F, G) or circulating recombinant forms (CRF01AE, CRF02AG, CRF06-cpx). The 1588 heterosexuals were in 1224, and 536 MSM in 270 phylogenetically observed transmission chains. After adjustments for incomplete sampling, most heterosexual (75%) and MSM (76%) transmission chains were estimated to include only the individual introducing the virus (size = 1). Onward transmission occurred mostly in chains size 2-5 amongst heterosexuals (62%) and in chains size at least 10 amongst MSM (64%). Considering some chains originated in-country from other risk-groups, 40% (95% confidence interval: 36-44) of non-B-infected heterosexuals and 62% (95% confidence interval: 49-73) of MSM-acquired infection in-country. CONCLUSION Although most HIV-1 non-B introductions showed no or very little onward transmission, a considerable proportion of non-B infections amongst both heterosexuals and MSM in the Netherlands have been acquired in-country.
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Affiliation(s)
| | - Alexandra Blenkinsop
- Department of Mathematics, Imperial College London, London
- Department of Global Health, Amsterdam University Medical Centers, University of Amsterdam and Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands
| | - Matthew Hall
- Oxford Big Data Institute, University of Oxford, Oxford, UK
| | | | - Marion Cornelissen
- Laboratory of Clinical Virology, Department of Medical Microbiology, Academic Medical Center of the University of Amsterdam, Amsterdam
| | - Els Wessels
- Department of Medical Microbiology, Leiden University Medical Center, Leiden
| | | | - Thijs van de Laar
- Department of Donor Medicine Research, laboratory of Blood-borne Infections, Sanquin Research
- Department of Medical Microbiology, Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands
| | - Peter Reiss
- Stichting HIV Monitoring, Amsterdam, The Netherlands
- Department of Global Health, Amsterdam University Medical Centers, University of Amsterdam and Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands
| | | | - Oliver Ratmann
- Department of Mathematics, Imperial College London, London
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4
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Huang C, Ye L, Abdullah AS, Liang B, Jiang J, Ning C, Zang N, Zhang Y, Yang Y, Hu X, Yang Q, Luo C, Lao F, Liu H, Liang H, Huang J. No Increase in HIV Drug Resistance Mutations among Injecting Drug Users on Methadone Maintenance Therapy: A Prospective Cohort Study. Curr HIV Res 2020; 18:362-372. [PMID: 32652910 DOI: 10.2174/1570162x18666200712173630] [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: 01/15/2020] [Revised: 06/21/2020] [Accepted: 06/24/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Whether HIV-positive injecting drug users (IDUs) are at higher risk of developing drug resistance mutations (DRMs) after methadone maintenance therapy (MMT) than any other HIV-positive population is unclear. OBJECTIVE To compare the incidence of new DRMs in two population groups: antiretroviraltreatment (ART) HIV-positive IDUs and non-drug users. METHODS A prospective cohort of ART HIV-positive patients including IDUs who received MMT (MMT group) and non-drug users (N-MMT group) was established from April 2016 to December 2017 in Guangxi, China. RESULTS Of the 80 participants, 43 were in the MMT group and 37 were in the N-MMT group. Compared with the N-MMT group, the HRs of PIs, NRTIs and NNRTIs for new DRMs in the MMT group was 1.55 (95%CI: 0.28-8.64; P = 0.616), 1.51 (95%CI: 0.44-5.20; P = 0.512) and 0.45 (95%CI: 0.15-1.35; P = 0.155), respectively. There was no dose-response relationship between MMT and new DRMs for PIs, NRTIs and NNRTIs (P > 0.05). The new DRM incidence for NRTIs (138.23 per 104 person-months) was higher than for PIs (94.16 per 104 person-months) and NNRTIs (95.41per 104 person-months) in the MMT group, while the new DRM incidence for NNRTIs (208.24 per 104 person-months) was higher than for PIs (44.13 per 104 person-months) and NRTIs (91.78 per 104 person-months) in the N-MMT group. CONCLUSION Among ART HIV-positive patients, there is no significant difference in the incidence of new DRMs between IDUs receiving MMT and non-drug users. MMT has little impact on the development of DRMs among IDUs.
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Affiliation(s)
- Chunyuan Huang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Li Ye
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Abu S Abdullah
- Department of Medicine, Boston University School of Medicine, Boston Medical Center, Boston, Massachusetts 02118, USA
| | - Bingyu Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Junjun Jiang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Chuanyi Ning
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University,
Nanning 530021, Guangxi, China
| | - Ning Zang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University,
Nanning 530021, Guangxi, China
| | - Yu Zhang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Yuan Yang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Xi Hu
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Quanlue Yang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Chaolian Luo
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University,
Nanning 530021, Guangxi, China
| | - Feixiang Lao
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Huifang Liu
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University,
Nanning 530021, Guangxi, China
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University,
Nanning 530021, Guangxi, China
| | - Jiegang Huang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
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5
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Chen R, Liang B, Wen B, Huang G, Ning C, Lao C, Jiang J, Liu J, Zhou B, Huang J, Chen J, Zang N, Liao Y, Mo D, Ye L, Liang H. No Difference in Prevalence of Transmitted Drug Resistance between Injection Drug Users and Non-Injection Drug Users: A Cross-Sectional Study among Antiretroviral Treatment-Naïve HIV Patients. Intervirology 2019; 61:281-291. [PMID: 31018203 DOI: 10.1159/000499367] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 02/17/2019] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES The epidemiological evidence is inconsistent about whether HIV-positive injection drug users (IDUs) are at higher risk of developing antiretroviral resistance than any other HIV-positive populations. This study aims to investigate and compare transmitted drug resistance (TDR) between IDUs and non-IDUs in Lingshan County, an HIV-hit region in Guangxi, China, where IDU and heterosexual transmission were the two dominant transmission routes and roughly equally contributed to the local HIV transmission. METHODS A cross-sectional study was conducted among newly diagnosed and antiretroviral-treatment (ART)-naïve HIV-1 patients from Lingshan County. The pol gene of HIV-1 from the individuals was sequenced followed by genotyping and TDR analysis. RESULTS Two dominant transmission routes, heterosexual contact and IDU, accounted for 49.2 and 45.9% of 183 HIV-1 infection cases, respectively. Three genotypes, including CRF08_BC (70.6%), CRF01_AE (24.4%), and CRF07_BC (5.0%), and three unique recombinant forms (1.6%), were identified. There was a significant difference in genotype distribution among the different transmission routes (F = 21.814, p < 0.001). The overall TDR prevalence was 5.5%. There were no significant differences in TDR prevalence among the different transmission routes (F = 1.420, p = 0.439). CONCLUSIONS Injection drug use has little impact on TDR prevalence compared with other routes of transmission.
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Affiliation(s)
- Rongfeng Chen
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Bingyu Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Binbin Wen
- School of Nursing, Guangxi University of Chinese Medicine, Nanning, China
| | - Guanghua Huang
- Department of AIDS Prevention, Lingshan Center for Disease Control and Prevention, Lingshan, China
| | - Chuanyi Ning
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Chengyong Lao
- Department of AIDS Prevention, Lingshan Center for Disease Control and Prevention, Lingshan, China
| | - Junjun Jiang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Jie Liu
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Bo Zhou
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Jiegang Huang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Jinmei Chen
- Department of AIDS Prevention, Lingshan Center for Disease Control and Prevention, Lingshan, China
| | - Ning Zang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Yanyan Liao
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Dongsong Mo
- Department of AIDS Prevention, Lingshan Center for Disease Control and Prevention, Lingshan, China
| | - Li Ye
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China, .,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China,
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6
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Pérez-Parra S, Chueca N, Álvarez M, Pasquau J, Omar M, Collado A, Vinuesa D, Lozano AB, Yebra G, García F. Phylodynamic and Phylogeographic Profiles of Subtype B HIV-1 Epidemics in South Spain. PLoS One 2016; 11:e0168099. [PMID: 28002469 PMCID: PMC5176287 DOI: 10.1371/journal.pone.0168099] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Accepted: 11/23/2016] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Since 1982, HIV-1 epidemics have evolved to different scenarios in terms of transmission routes, subtype distribution and characteristics of transmission clusters. We investigated the evolutionary history of HIV-1 subtype B in south Spain. PATIENTS & METHODS We studied all newly diagnosed HIV-1 subtype B patients in East Andalusia during the 2005-2012 period. For the analysis, we used the reverse transcriptase and protease sequences from baseline resistance, and the Trugene® HIV Genotyping kit (Siemens, Barcelona, Spain). Subtyping was done with REGA v3.0. The maximum likelihood trees constructed with RAxML were used to study HIV-1 clustering. Phylogeographic and phylodynamic profiles were studied by Bayesian inference methods with BEAST v1.7.5 and SPREAD v1.0.6. RESULTS Of the 493 patients infected with HIV-1 subtype B, 234 grouped into 55 clusters, most of which were small (44 clusters ≤ 5 patients, 31 with 2 patients, 13 with 3). The rest (133/234) were grouped into 11 clusters with ≥ 5 patients, and most (82%, 109/133) were men who have sex with men (MSM) grouped into 8 clusters. The association with clusters was more frequent in Spanish (p = 0.02) men (p< 0.001), MSM (p<0.001) younger than 35 years (p = 0.001) and with a CD4+ T-cell count above 350 cells/ul (p<0.001). We estimated the date of HIV-1 subtype B regional epidemic diversification around 1970 (95% CI: 1965-1987), with an evolutionary rate of 2.4 (95%CI: 1.7-3.1) x 10-3 substitutions/site/year. Most clusters originated in the 1990s in MSMs. We observed exponential subtype B HIV-1 growth in 1980-1990 and 2005-2008. The most significant migration routes for subtype B went from inland cities to seaside locations. CONCLUSIONS We provide the first data on the phylodynamic and phylogeographic profiles of HIV-1 subtype B in south Spain. Our findings of transmission clustering among MSMs should alert healthcare managers to enhance preventive measures in this risk group in order to prevent future outbreaks.
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Affiliation(s)
- Santiago Pérez-Parra
- Servicio de Microbiología Clínica, Hospital Universitario San Cecilio, Complejo Hospitalario e Instituto de Investigación IBS, Granada, Spain
| | - Natalia Chueca
- Servicio de Microbiología Clínica, Hospital Universitario San Cecilio, Complejo Hospitalario e Instituto de Investigación IBS, Granada, Spain
| | - Marta Álvarez
- Servicio de Microbiología Clínica, Hospital Universitario San Cecilio, Complejo Hospitalario e Instituto de Investigación IBS, Granada, Spain
| | - Juan Pasquau
- Servicio de Infecciosas, Hospital Virgen de las Nieves, Granada, Spain
| | - Mohamed Omar
- Servicio de Infecciosas, Hospital Ciudad de Jaén, Jaén, Spain
| | - Antonio Collado
- Servicio de Medicina Interna, Hospital de Torrecárdenas, Almería, Spain
| | - David Vinuesa
- Servicio de Infecciosas, Hospital Universitario San Cecilio, Granada, Spain
| | - Ana B. Lozano
- Servicio de Infecciosas, Hospital de Poniente, Almería, Spain
| | - Gonzalo Yebra
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom
| | - Federico García
- Servicio de Microbiología Clínica, Hospital Universitario San Cecilio, Complejo Hospitalario e Instituto de Investigación IBS, Granada, Spain
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7
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Beloukas A, Psarris A, Giannelou P, Kostaki E, Hatzakis A, Paraskevis D. Molecular epidemiology of HIV-1 infection in Europe: An overview. INFECTION GENETICS AND EVOLUTION 2016; 46:180-189. [PMID: 27321440 DOI: 10.1016/j.meegid.2016.06.033] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 06/14/2016] [Accepted: 06/15/2016] [Indexed: 12/19/2022]
Abstract
Human Immunodeficiency Virus type 1 (HIV-1) is characterised by vast genetic diversity. Globally circulating HIV-1 viruses are classified into distinct phylogenetic strains (subtypes, sub-subtypes) and several recombinant forms. Here we describe the characteristics and evolution of European HIV-1 epidemic over time through a review of published literature and updated queries of existing HIV-1 sequence databases. HIV-1 in Western and Central Europe was introduced in the early-1980s in the form of subtype B, which is still the predominant clade. However, in Eastern Europe (Former Soviet Union (FSU) countries and Russia) the predominant strain, introduced into Ukraine in the mid-1990s, is subtype A (AFSU) with transmission mostly occurring in People Who Inject Drugs (PWID). In recent years, the epidemic is evolving towards a complex tapestry with an increase in the prevalence of non-B subtypes and recombinants in Western and Central Europe. Non-B epidemics are mainly associated with immigrants, heterosexuals and females but more recently, non-B clades have also spread amongst groups where non-B strains were previously absent - non-immigrant European populations and amongst men having sex with men (MSM). In some countries, non-B clades have spread amongst the native population, for example subtype G in Portugal and subtype A in Greece, Albania and Cyprus. Romania provides a unique case where sub-subtype F1 has predominated throughout the epidemic. In contrast, HIV-1 epidemic in FSU countries remains more homogeneous with AFSU clade predominating in all countries. The differences between the evolution of the Western epidemic and the Eastern epidemic may be attributable to differences in transmission risk behaviours, lifestyle and the patterns of human mobility. The study of HIV-1 epidemic diversity provides a useful tool by which we can understand the history of the pandemic in addition to allowing us to monitor the spread and growth of the epidemic over time.
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Affiliation(s)
- Apostolos Beloukas
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Institute of Infection & Global Health, University of Liverpool, Liverpool, United Kingdom
| | - Alexandros Psarris
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Polina Giannelou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Evangelia Kostaki
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Angelos Hatzakis
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitrios Paraskevis
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
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Bezemer D, Cori A, Ratmann O, van Sighem A, Hermanides HS, Dutilh BE, Gras L, Rodrigues Faria N, van den Hengel R, Duits AJ, Reiss P, de Wolf F, Fraser C. Dispersion of the HIV-1 Epidemic in Men Who Have Sex with Men in the Netherlands: A Combined Mathematical Model and Phylogenetic Analysis. PLoS Med 2015; 12:e1001898; discussion e1001898. [PMID: 26529093 PMCID: PMC4631366 DOI: 10.1371/journal.pmed.1001898] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Accepted: 09/25/2015] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND The HIV-1 subtype B epidemic amongst men who have sex with men (MSM) is resurgent in many countries despite the widespread use of effective combination antiretroviral therapy (cART). In this combined mathematical and phylogenetic study of observational data, we aimed to find out the extent to which the resurgent epidemic is the result of newly introduced strains or of growth of already circulating strains. METHODS AND FINDINGS As of November 2011, the ATHENA observational HIV cohort of all patients in care in the Netherlands since 1996 included HIV-1 subtype B polymerase sequences from 5,852 patients. Patients who were diagnosed between 1981 and 1995 were included in the cohort if they were still alive in 1996. The ten most similar sequences to each ATHENA sequence were selected from the Los Alamos HIV Sequence Database, and a phylogenetic tree was created of a total of 8,320 sequences. Large transmission clusters that included ≥10 ATHENA sequences were selected, with a local support value ≥ 0.9 and median pairwise patristic distance below the fifth percentile of distances in the whole tree. Time-varying reproduction numbers of the large MSM-majority clusters were estimated through mathematical modeling. We identified 106 large transmission clusters, including 3,061 (52%) ATHENA and 652 Los Alamos sequences. Half of the HIV sequences from MSM registered in the cohort in the Netherlands (2,128 of 4,288) were included in 91 large MSM-majority clusters. Strikingly, at least 54 (59%) of these 91 MSM-majority clusters were already circulating before 1996, when cART was introduced, and have persisted to the present. Overall, 1,226 (35%) of the 3,460 diagnoses among MSM since 1996 were found in these 54 long-standing clusters. The reproduction numbers of all large MSM-majority clusters were around the epidemic threshold value of one over the whole study period. A tendency towards higher numbers was visible in recent years, especially in the more recently introduced clusters. The mean age of MSM at diagnosis increased by 0.45 years/year within clusters, but new clusters appeared with lower mean age. Major strengths of this study are the high proportion of HIV-positive MSM with a sequence in this study and the combined application of phylogenetic and modeling approaches. Main limitations are the assumption that the sampled population is representative of the overall HIV-positive population and the assumption that the diagnosis interval distribution is similar between clusters. CONCLUSIONS The resurgent HIV epidemic amongst MSM in the Netherlands is driven by several large, persistent, self-sustaining, and, in many cases, growing sub-epidemics shifting towards new generations of MSM. Many of the sub-epidemics have been present since the early epidemic, to which new sub-epidemics are being added.
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Affiliation(s)
- Daniela Bezemer
- HIV Monitoring Foundation, Amsterdam, the Netherlands
- * E-mail:
| | - Anne Cori
- Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
| | - Oliver Ratmann
- Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
| | | | | | - Bas E. Dutilh
- Centre for Molecular and Biomolecular Informatics, Nijmegen Centre for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, the Netherlands
- Department of Marine Biology, Institute of Biology, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- Theoretical Biology and Bioinformatics, Utrecht University, Utrecht, the Netherlands
| | - Luuk Gras
- HIV Monitoring Foundation, Amsterdam, the Netherlands
| | | | | | | | - Peter Reiss
- HIV Monitoring Foundation, Amsterdam, the Netherlands
- Department of Global Health, Academic Medical Center, Amsterdam, the Netherlands
- Amsterdam Institute for Global Health and Development, Amsterdam, the Netherlands
| | - Frank de Wolf
- Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
| | - Christophe Fraser
- Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
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Schmidt D, Kollan C, Fätkenheuer G, Schülter E, Stellbrink HJ, Noah C, Jensen BEO, Stoll M, Bogner JR, Eberle J, Meixenberger K, Kücherer C, Hamouda O, Bartmeyer B. Estimating trends in the proportion of transmitted and acquired HIV drug resistance in a long term observational cohort in Germany. PLoS One 2014; 9:e104474. [PMID: 25148412 PMCID: PMC4141736 DOI: 10.1371/journal.pone.0104474] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2013] [Accepted: 07/14/2014] [Indexed: 11/19/2022] Open
Abstract
Objective We assessed trends in the proportion of transmitted (TDR) and acquired (ADR) HIV drug resistance and associated mutations between 2001 and 2011 in the German ClinSurv-HIV Drug Resistance Study. Method The German ClinSurv-HIV Drug Resistance Study is a subset of the German ClinSurv-HIV Cohort. For the ClinSurv-HIV Drug Resistance Study all available sequences isolated from patients in five study centres of the long term observational ClinSurv-HIV Cohort were included. TDR was estimated using the first viral sequence of antiretroviral treatment (ART) naïve patients. One HIV sequence/patient/year of ART experienced patients was considered to estimate the proportion of ADR. Trends in the proportion of HIV drug resistance were calculated by logistic regression. Results 9,528 patients were included into the analysis. HIV-sequences of antiretroviral naïve and treatment experienced patients were available from 34% (3,267/9,528) of patients. The proportion of TDR over time was stable at 10.4% (95% CI 9.1–11.8; p for trend = 0.6; 2001–2011). The proportion of ADR among all treated patients was 16%, whereas it was high among those with available HIV genotypic resistance test (64%; 1,310/2,049 sequences; 95% CI 62–66) but declined significantly over time (OR 0.8; 95% CI 0.77–0.83; p for trend<0.001; 2001–2011). Viral load monitoring subsequent to resistance testing was performed in the majority of treated patients (96%) and most of them (67%) were treated successfully. Conclusions The proportion of TDR was stable in this study population. ADR declined significantly over time. This decline might have been influenced by broader resistance testing, resistance test guided therapy and the availability of more therapeutic options and not by a decline in the proportion of TDR within the study population.
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Affiliation(s)
- Daniel Schmidt
- Department of Infectious Disease Epidemiology, HIV/AIDS, STI and Blood Born Infections, Robert Koch-Institute, Berlin, Germany
| | - Christian Kollan
- Department of Infectious Disease Epidemiology, HIV/AIDS, STI and Blood Born Infections, Robert Koch-Institute, Berlin, Germany
| | | | - Eugen Schülter
- Clinic of Internal Medicine, University Köln, Köln, Germany
| | | | | | - Björn-Erik Ole Jensen
- Department of Gastroenterology, Hepatology and Infectious Diseases, Heinrich Heine University, Düsseldorf, Germany
| | - Matthias Stoll
- Clinic for Immunology and Rheumatology, Infectious Diseases Unit, Medical University Hannover, Hannover, Germany
| | - Johannes R. Bogner
- Department of Infectious Disease, Med IV, University Hospital of Munich, Munich Germany
| | - Josef Eberle
- Max von Pettenkofer Institute, Institute of Virology, Ludwig Maximilians University, Munich, Germany
| | - Karolin Meixenberger
- Department of Infectious Diseases, HIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany
| | - Claudia Kücherer
- Department of Infectious Diseases, HIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany
| | - Osamah Hamouda
- Department of Infectious Disease Epidemiology, HIV/AIDS, STI and Blood Born Infections, Robert Koch-Institute, Berlin, Germany
| | - Barbara Bartmeyer
- Department of Infectious Disease Epidemiology, HIV/AIDS, STI and Blood Born Infections, Robert Koch-Institute, Berlin, Germany
- * E-mail:
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Snedecor SJ, Sudharshan L, Nedrow K, Bhanegaonkar A, Simpson KN, Haider S, Chambers R, Craig C, Stephens J. Burden of nonnucleoside reverse transcriptase inhibitor resistance in HIV-1-infected patients: a systematic review and meta-analysis. AIDS Res Hum Retroviruses 2014; 30:753-68. [PMID: 24925216 PMCID: PMC4118702 DOI: 10.1089/aid.2013.0262] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The prevalence of HIV drug resistance varies with geographic location, year, and treatment exposure. This study generated yearly estimates of nonnucleoside reverse transcriptase inhibitor (NNRTI) resistance in treatment-naive (TN) and treatment-experienced (TE) patients in the United States (US), Europe (EU), and Canada. Studies reporting NNRTI resistance identified in electronic databases and 11 conferences were analyzed in three groups: (1) TN patients in one of four geographic regions [US, Canada, EU countries with larger surveillance networks ("EU1"), and EU countries with fewer data ("EU2")]; (2) TE patients from any region; and (3) TN patients failing NNRTI-based treatments in clinical trials. Analysis data included 158 unique studies from 22 countries representing 84 cohorts of TN patients, 21 cohorts of TE patients, and 8 trials reporting resistance at failure. From 1995 to 2000, resistance prevalence in TN patients increased in US and EU1 from 3.1% to 7.5% and 0.8% to 3.6%, respectively. Resistance in both regions stabilized in 2006 onward. Little resistance was identified in EU2 before 2000, and increased from 2006 (5.0%) to 2010 (13.7%). One TN Canadian study was identified and reported resistance of 8.1% in 2006. Half of TN clinical trial patients had resistance after treatment failure at weeks 48-144. Resistance in TE patients increased from 1998 (10.1%) to 2001 (44.0%), then decreased after 2004. Trends in NNRTI resistance among TN patients show an increased burden in the US and some EU countries compared to others. These findings signify a need for alternate first-line treatments in some regions.
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Affiliation(s)
| | | | | | | | - Kit N. Simpson
- Medical University of South Carolina, Charleston, South Carolina
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11
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First line treatment response in patients with transmitted HIV drug resistance and well defined time point of HIV infection: updated results from the German HIV-1 seroconverter study. PLoS One 2014; 9:e95956. [PMID: 24788613 PMCID: PMC4006817 DOI: 10.1371/journal.pone.0095956] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2013] [Accepted: 04/02/2014] [Indexed: 12/19/2022] Open
Abstract
Background Transmission of drug-resistant HIV-1 (TDR) can impair the virologic response to antiretroviral combination therapy. Aim of the study was to assess the impact of TDR on treatment success of resistance test-guided first-line therapy in the German HIV-1 Seroconverter Cohort for patients infected with HIV between 1996 and 2010. An update of the prevalence of TDR and trend over time was performed. Methods Data of 1,667 HIV-infected individuals who seroconverted between 1996 and 2010 were analysed. The WHO drug resistance mutations list was used to identify resistance-associated HIV mutations in drug-naïve patients for epidemiological analysis. For treatment success analysis the Stanford algorithm was used to classify a subset of 323 drug-naïve genotyped patients who received a first-line cART into three resistance groups: patients without TDR, patients with TDR and fully active cART and patients with TDR and non-fully active cART. The frequency of virologic failure 5 to 12 months after treatment initiation was determined. Results Prevalence of TDR was stable at a high mean level of 11.9% (198/1,667) in the HIV-1 Seroconverter Cohort without significant trend over time. Nucleotide reverse transcriptase inhibitor resistance was predominant (6.0%) and decreased significantly over time (OR = 0.92, CI = 0.87–0.98, p = 0.01). Non-nucleoside reverse transcriptase inhibitor (2.4%; OR = 1.00, CI = 0.92–1.09, p = 0.96) and protease inhibitor resistance (2.0%; OR = 0.94, CI = 0.861.03, p = 0.17) remained stable. Virologic failure was observed in 6.5% of patients with TDR receiving fully active cART, 5,6% of patients with TDR receiving non-fully active cART and 3.2% of patients without TDR. The difference between the three groups was not significant (p = 0.41). Conclusion Overall prevalence of TDR remained stable at a rather high level. No significant differences in the frequency of virologic failure were identified during first-line cART between patients with TDR and fully-active cART, patients with TDR and non-fully active cART and patients without TDR.
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Transmission of risk-group specific HIV-1 strains among Dutch drug users for more than 20 years and their replacement by nonspecific strains after switching to low-harm drug practices. J Acquir Immune Defic Syndr 2013; 62:234-8. [PMID: 23117501 DOI: 10.1097/qai.0b013e318279734d] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
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.
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Thao VP, Le T, Török EM, Yen NTB, Chau TTH, Jurriaans S, van Doorn HR, de Jong MD, Farrar JJ, Dunstan SJ. Hiv-1 Drug Resistance in Antiretroviral-Naive Individuals with HIV-1-Associated Tuberculous Meningitis Initiating Antiretroviral Therapy in Vietnam. Antivir Ther 2012. [DOI: 10.3851/imp2098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Vu P Thao
- Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Thuy Le
- Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Hawaii Center for AIDS, University of Hawaii at Manoa, Honolulu, HI, USA
- Centre for Tropical Medicine, Nuffield Department of Clinical Medicine, Oxford University, Oxford, UK
| | - Estee M Török
- University of Cambridge, Department of Medicine, Addenbrooke's Hospital, Cambridge, UK
| | - Nguyen TB Yen
- Pham Ngoc Thach Hospital for Tuberculosis and Lung Disease, Ho Chi Minh City, Vietnam
| | - Tran TH Chau
- Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
| | - Suzanne Jurriaans
- Department of Medical Microbiology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - H Rogier van Doorn
- Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Centre for Tropical Medicine, Nuffield Department of Clinical Medicine, Oxford University, Oxford, UK
| | - Menno D de Jong
- Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Department of Medical Microbiology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Jeremy J Farrar
- Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Centre for Tropical Medicine, Nuffield Department of Clinical Medicine, Oxford University, Oxford, UK
| | - Sarah J Dunstan
- Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Centre for Tropical Medicine, Nuffield Department of Clinical Medicine, Oxford University, Oxford, UK
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Thao VP, Le T, Török EM, Yen NTB, Chau TTH, Jurriaans S, van Doorn HR, van Doorn RH, de Jong MD, Farrar JJ, Dunstan SJ. HIV-1 drug resistance in antiretroviral-naive individuals with HIV-1-associated tuberculous meningitis initiating antiretroviral therapy in Vietnam. Antivir Ther 2012; 17:905-13. [PMID: 22473024 DOI: 10.3851/imp2092] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/10/2011] [Indexed: 10/28/2022]
Abstract
BACKGROUND Access to antiretroviral therapy (ART) for HIV-infected individuals in Vietnam is rapidly expanding, but there are limited data on HIV drug resistance (HIVDR) to guide ART strategies. METHODS We retrospectively conducted HIVDR testing in 220 ART-naive individuals recruited to a randomized controlled trial of immediate versus deferred ART in individuals with HIV-associated tuberculous meningitis in Ho Chi Minh City (HCMC) from 2005-2008. HIVDR mutations were identified by population sequencing of the HIV pol gene and were defined based on 2009 WHO surveillance drug resistance mutations (SDRMs). RESULTS We successfully sequenced 219/220 plasma samples of subjects prior to ART; 218 were subtype CRF01_AE and 1 was subtype B. SDRMs were identified in 14/219 (6.4%) subjects; 8/14 were resistant to nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs; T69D, L74V, V75M, M184V/I and K219R), 5/14 to non-nucleoside reverse transcriptase inhibitors (NNRTIs; K103N, V106M, Y181C, Y188C and G190A), 1/14 to both NRTIs and NNRTIs (D67N and Y181C) and none to protease inhibitors. After 6 months of ART, eight subjects developed protocol-defined virological failure. HIVDR mutations were identified in 5/8 subjects. All five had mutations with high-level resistance to NNRTIs and three had mutations with high-level resistance to NRTIs. Due to a high early mortality rate (58%), the effect of pre-existing HIVDR mutations on treatment outcome could not be accurately assessed. CONCLUSIONS The prevalence of WHO SDRMs in ART-naive individuals with HIV-associated tuberculous meningitis in HCMC from 2005-2008 is 6.4%. The SDRMs identified conferred resistance to NRTIs and/or NNRTIs, reflecting the standard first-line ART regimens in Vietnam.
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Affiliation(s)
- Vu P Thao
- Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
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Bartmeyer B, Kuecherer C, Houareau C, Werning J, Keeren K, Somogyi S, Kollan C, Jessen H, Dupke S, Hamouda O. Prevalence of transmitted drug resistance and impact of transmitted resistance on treatment success in the German HIV-1 Seroconverter Cohort. PLoS One 2010; 5:e12718. [PMID: 20949104 PMCID: PMC2951346 DOI: 10.1371/journal.pone.0012718] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2010] [Accepted: 08/10/2010] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The aim of this study is to analyse the prevalence of transmitted drug resistance, TDR, and the impact of TDR on treatment success in the German HIV-1 Seroconverter Cohort. METHODS Genotypic resistance analysis was performed in treatment-naïve study patients whose sample was available 1,312/1,564 (83.9% October 2008). A genotypic resistance result was obtained for 1,276/1,312 (97.3%). The resistance associated mutations were identified according to the surveillance drug resistance mutations list recommended for drug-naïve patients. Treatment success was determined as viral suppression below 500 copies/ml. RESULTS Prevalence of TDR was stable at a high level between 1996 and 2007 in the German HIV-1 Seroconverter Cohort (N = 158/1,276; 12.4%; CI(wilson) 10.7-14.3; p(for trend) = 0.25). NRTI resistance was predominant (7.5%) but decreased significantly over time (CI(Wilson): 6.2-9.1, p(for trend) = 0.02). NNRTI resistance tended to increase over time (NNRTI: 3.5%; CI(Wilson): 2.6-4.6; p(for trend)= 0.07), whereas PI resistance remained stable (PI: 3.0%; CI(Wilson): 2.1-4.0; p(for trend) = 0.24). Resistance to all drug classes was frequently caused by singleton resistance mutations (NRTI 55.6%, PI 68.4%, NNRTI 99.1%). The majority of NRTI-resistant strains (79.8%) carried resistance-associated mutations selected by the thymidine analogues zidovudine and stavudine. Preferably 2NRTI/1PIr combinations were prescribed as first line regimen in patients with resistant HIV as well as in patients with susceptible strains (susceptible 45.3%; 173/382 vs. resistant 65.5%; 40/61). The majority of patients in both groups were treated successfully within the first year after ART-initiation (susceptible: 89.9%; 62/69; resistant: 7/9; 77.8%). CONCLUSION Overall prevalence of TDR remained stable at a high level but trends of resistance against drug classes differed over time. The significant decrease of NRTI-resistance in patients newly infected with HIV might be related to the introduction of novel antiretroviral drugs and a wider use of genotypic resistance analysis prior to treatment initiation.
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Affiliation(s)
- Barbara Bartmeyer
- HIV/AIDS, STD Unit, Department Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany
| | - Claudia Kuecherer
- Project HIV Variability and Molecular Epidemiology, Robert Koch-Institute, Berlin, Germany
| | - Claudia Houareau
- HIV/AIDS, STD Unit, Department Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany
| | - Johanna Werning
- HIV/AIDS, STD Unit, Department Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany
| | - Kathrin Keeren
- Project HIV Variability and Molecular Epidemiology, Robert Koch-Institute, Berlin, Germany
| | - Sybille Somogyi
- Project HIV Variability and Molecular Epidemiology, Robert Koch-Institute, Berlin, Germany
| | - Christian Kollan
- HIV/AIDS, STD Unit, Department Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany
| | - Heiko Jessen
- Gemeinschaftspraxis Jessen-Jessen-Stein, Berlin, Germany
| | - Stephan Dupke
- Gemeinschaftspraxis Dupke, Baumgarten, Carganico, Berlin, Germany
| | - Osamah Hamouda
- HIV/AIDS, STD Unit, Department Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany
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Werb D, Mills EJ, Montaner JSG, Wood E. Risk of resistance to highly active antiretroviral therapy among HIV-positive injecting drug users: a meta-analysis. THE LANCET. INFECTIOUS DISEASES 2010; 10:464-9. [PMID: 20610328 DOI: 10.1016/s1473-3099(10)70097-9] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Although highly active antiretroviral therapy (HAART) is an effective treatment for HIV, many physicians withhold this treatment from HIV-positive injecting drug users (IDUs) because of fears of non-adherence and consequent development of antiretroviral resistance. Little is known, however, about whether the rates of resistance differ between IDUs and non-IDUs. We did a meta-analysis of studies that compared antiretroviral resistance rates in IDUs (current or previous) with those in HIV-positive patients infected by other routes and who had never injected drugs. We used a random-effects model to investigate overall resistance rates and resistance to individual drug classes. Of 181 potential studies, 27 were eligible for review. We were able to extract data from 14 studies, but two were excluded because of a very small sample size of IDUs or data being available only from a secondary analysis. Thus we included 12 studies in the meta-analysis, involving 9055 patients, of which 2054 (23%) were IDUs. The risk of development of antiretroviral resistance did not differ significantly between IDU and non-IDU (odds ratio 1.04, 95% CI 0.74-1.45, p=0.84). Rates of loss to follow-up and virological failure were similar in IDU and non-IDU samples. Existing evidence does not support the common practice of withholding antiretroviral therapy from HIV-positive IDU on the basis of an elevated risk of antiretroviral resistance. Therapeutic guidelines should consider reassessment of this issue.
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Affiliation(s)
- Daniel Werb
- British Columbia Centre for Excellence in HIV/AIDS, University of British Columbia, 608-1081 Burrard Street, Vancouver, BC, Canada
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Abstract
BACKGROUND Reduced replication capacity of viruses expressing drug resistant mutations implies that patients with transmitted drug resistance (TDR) could have lower HIV RNA viral load than those infected with wild-type virus. METHODS We performed analysis using data from the UK HIV Drug Resistance Database and the UK CHIC study. Eligible patients had a resistance test performed between 1997 and 2007 while naive to antiretroviral therapy, were 16 years or older, and had a viral load and CD4 cell count measurement within 6 months of this test. Models were adjusted for CD4 cell count, viral subtype, ethnicity, risk group, sex, age, calendar year, clinical centre, and viral load assay. RESULTS Of a total of 7994 patients included, 709 (9%) had TDR: 604 (85%) had resistance to one drug class only [350 nucleos(t)ide reverse transcriptase inhibitors (NRTIs), 164 non-nucleos(t)ide reverse transcriptase inhibitors (NNRTIs), 90 protease inhibitors (PIs)], 77 (11%) to two classes (42 NRTIs/NNRTIs, 31 NRTIs/PIs, 4 NNRTIs/PIs), and 28 (4%) had resistance to all three classes. The overall mean (SD) viral load at the time of resistance testing was 4.60 (0.82) log(10) copies/ml, and did not differ by class of TDR. However, patients harbouring M184V/I (n = 61) had a significantly lower viral load [adjusted mean difference -0.33 log10 copies/ml (95% CI -0.54 to -0.11), 53% lower (95% CI 22 to 71%), P = 0.002] compared to wild-type virus. DISCUSSION Our study provides clear evidence of an in-vivo fitness cost associated with the M184V/I mutation independent of drug effects which select for this mutation. This was not observed for any other mutation, but true effects may have been obscured by reversion of initially resistant viruses to wild-type.
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Abstract
OBJECTIVE To obtain insight in the HIV-1 transmission networks among men having sex with men (MSM) in the Netherlands. DESIGN A phylogenetic tree was constructed from polymerase sequences isolated from 2877 HIV-1 subtype B-infected patients monitored as part of the AIDS Therapy Evaluation in the Netherlands (ATHENA) nationwide observational cohort. METHODS For MSM with a known date of infection, the most similar sequences were selected as potential transmission pairs when they clustered with bootstrap value of at least 99%. Time from infection to onward transmission was estimated as the median time between dates of infection for each transmission pair. The source of infections with a resistant strain was traced using the entire phylogenetic tree. RESULTS Of sequences from 403 MSM with a known date of infection between 1987 and 2007, 175 (43%) formed 63 clusters. Median time to onward transmission was 1.4 years (interquartile range 0.6-2.7). Twenty-four (6%) MSM carried a virus with resistance-related mutations, 13 of these were in eight clusters together with sequences from 28 other patients in the entire phylogenetic tree. Six clusters contained sequences obtained from 29 men all presenting the same resistance-related mutations. CONCLUSION From our selection of likely transmission pairs, we conclude that onward transmission of HIV-1 from infected MSM in the Netherlands happens both during and after primary infection. Transmission of resistant strains from the antiretroviral therapy-treated population is limited, but strains with resistance-related mutations have formed subepidemics.
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Marks AJ, Pillay D, McLean AR. The effect of intrinsic stochasticity on transmitted HIV drug resistance patterns. J Theor Biol 2009; 262:1-13. [PMID: 19766126 DOI: 10.1016/j.jtbi.2009.09.017] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2008] [Revised: 07/29/2009] [Accepted: 09/10/2009] [Indexed: 10/20/2022]
Abstract
Estimates of transmitted HIV drug-resistance prevalence vary widely among and within epidemiological surveys. Interpretation of trends from available survey data is therefore difficult. Because the emergence of drug-resistance involves small populations of infected drug-resistant individuals, the role of stochasticity (chance events) is likely to be important. The question addressed here is: how much variability in transmitted HIV drug-resistance prevalence patterns arises due to intrinsic stochasticity alone, i.e., if all starting conditions in the different epidemics surveyed were identical? This 'thought experiment' gives insight into the minimum expected variabilities within and among epidemics. A simple stochastic mathematical model was implemented. Our results show that stochasticity alone can generate a significant degree of variability and that this depends on the size and variation of the pool of new infections when drug treatment is first introduced. The variability in transmitted drug-resistance prevalence within an epidemic (i.e., the temporal variability) is large when the annual pool of all new infections is small (fewer than 200, typical of the HIV epidemics in Central European and Scandinavian countries) but diminishes rapidly as that pool grows. Epidemiological surveys involving hundreds of new infections annually are therefore needed to allow meaningful interpretation of temporal trends in transmitted drug-resistance prevalence within individual epidemics. The stochastic variability among epidemics shows a similar dependence on the pool of new infections if treatment is introduced after endemic equilibrium is established, but can persist even when there are more than 10,000 new infections annually if drug therapy is introduced earlier. Stochastic models may therefore have an important role to play in interpreting differences in transmitted drug-resistance prevalence trends among epidemiological surveys.
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Magiorkinis E, Detsika M, Hatzakis A, Paraskevis D. Monitoring HIV drug resistance in treatment-naive individuals: molecular indicators, epidemiology and clinical implications. ACTA ACUST UNITED AC 2009. [DOI: 10.2217/hiv.09.23] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Transmitted drug resistance (TDR) has been documented to occur soon after the introduction of HAART. The purpose of this review is to summarize the current knowledge regarding the epidemiology, the clinical implications and the trends in the research field of TDR. Until now, there have been different approaches for monitoring TDR, however, the surveillance drug resistance-associated mutations list seems fairly advantageous for TDR surveillance compared with other methods. The prevalence of TDR is approximately 10% in Europe and North America among recently or newly infected individuals sampled over the last few years. TDR was found to be higher among patients infected in Europe and North America compared with those in geographic areas with a high prevalence of HIV-1, reflecting the differences in the access to HAART in the two populations. Resistant viruses show different reversal rates to wild-type depending on the fitness cost of particular mutations. TDR in treatment-naive individuals is of major importance in HIV clinical practice and for this reason British–European and USA guideline panels recommend drug-resistance testing prior to treatment.
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Affiliation(s)
- Emmanouil Magiorkinis
- National Retrovirus Reference Center, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, M. Asias 75, 11527, Greece
| | - Maria Detsika
- National Retrovirus Reference Center, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, M. Asias 75, 11527, Greece
| | - Angelos Hatzakis
- National Retrovirus Reference Center, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, M. Asias 75, 11527, Greece
| | - Dimitrios Paraskevis
- National Retrovirus Reference Center, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, M. Asias 75, 11527, Greece
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Stable frequency of HIV-1 transmitted drug resistance in patients at the time of primary infection over 1996-2006 in France. AIDS 2009; 23:717-24. [PMID: 19279445 DOI: 10.1097/qad.0b013e328326ca77] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Transmission of drug-resistant variants is influenced by several factors, including the HIV-1 RNA levels in HIV-1-infected patients. Our study describes the transmitted drug-resistant virus among 1446 French patients diagnosed at the time of primary infection and included from 1996 to 2006 along with the proportion of chronically infected treated patients in the French Hospital Database on HIV (FHDH). METHODS Genotypic resistance tests were performed at the time of primary infection. The proportion of patients with viral load <500 copies/ml among treated patients, enrolled in the FHDH, was calculated. RESULTS Over 1996-2006, the proportion of transmitted resistant viruses to at least one antiretroviral was estimated as 10.9%. When considering class resistance, there was an increase in transmission of nonnucleoside reverse transcriptase inhibitor-resistant virus from 0.6% in 1996-1998 to 4.4% in 1999 (P = 0.034), whereas no change was evidenced for either nucleoside/nucleotide reverse transcriptase inhibitor or protease inhibitor resistance. In the FHDH, the proportion of patients receiving combination antiretroviral therapy (cart) increased from 27.7% in 1996 to 81.4% in 2006 and the proportion of viral load <500 copies/ml in treated patients increased from 17.0% in 1996 to 85.3% in 2006. Phylogenetic analysis revealed that 25.5% of patients harboured HIV-1-non-B virus at the time of primary infection in 2005-2006 compared to 10% in 1996-1998. CONCLUSION In this large study of patients at the time of primary infection, the frequency of acquired resistant virus was stable over time, over 5% for nucleoside/nucleotide reverse transcriptase inhibitor and nonnucleoside reverse transcriptase inhibitor. One explanation for this stability may be the increasing number of treated patients in virological success.
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Understanding transmitted HIV resistance through the experience in the USA. Int J Infect Dis 2009; 13:552-9. [PMID: 19136289 DOI: 10.1016/j.ijid.2008.10.008] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2008] [Revised: 09/01/2008] [Accepted: 10/16/2008] [Indexed: 11/22/2022] Open
Abstract
Transmitted drug resistance is an emerging phenomenon with important clinical and public health implications. It has been reported in 3.4% to 26% of HIV-infected persons in the USA. Most cases affect non-nucleoside reverse transcriptase inhibitors or nucleos(t)ide reverse transcriptase inhibitors. Transmitted protease inhibitor or multi-class resistance is uncommon, occurring in <5% of cases. The genital tract may function as a reservoir of transmissible drug-resistant variants or a site for low-level viral replication at a time plasma HIV is suppressed. Transmitted drug-resistant HIV variants, including those that exist in very low titers (minority populations), are associated with suboptimal virologic response to initial antiretroviral therapy. Baseline resistance testing, preferably genotype, appears to be cost-effective and is recommended for all treatment-naïve patients in the USA, although prospective trials have not been performed. It appears transmitted drug resistance is still relatively low in developing countries, but there is a dearth of information.
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A resurgent HIV-1 epidemic among men who have sex with men in the era of potent antiretroviral therapy. AIDS 2008; 22:1071-7. [PMID: 18520351 DOI: 10.1097/qad.0b013e3282fd167c] [Citation(s) in RCA: 143] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE Reducing viral load, highly active antiretroviral therapy has the potential to limit onwards transmission of HIV-1 and thus help contain epidemic spread. However, increases in risk behaviour and resurgent epidemics have been widely reported post-highly active antiretroviral therapy. The aim of this study was to quantify the impact that highly active antiretroviral therapy had on the epidemic. DESIGN We focus on the HIV-1 epidemic among men who have sex with men in the Netherlands, which has been well documented over the past 20 years within several long-standing national surveillance programs. METHODS We used a mathematical model including highly active antiretroviral therapy use and estimated the changes in risk behaviour and diagnosis rate needed to explain annual data on HIV and AIDS diagnoses. RESULTS We show that the reproduction number R(t), a measure of the state of the epidemic, declined early on from initial values above two and was maintained below one from 1985 to 2000. Since 1996, when highly active antiretroviral therapy became widely used, the risk behaviour rate has increased 66%, resulting in an increase of R(t) to 1.04 in the latest period 2000-2004 (95% confidence interval 0.98-1.09) near or just above the threshold for a self-sustaining epidemic. Hypothetical scenario analysis shows that the epidemiological benefits of highly active antiretroviral therapy and earlier diagnosis on incidence have been entirely offset by increases in the risk behaviour rate. CONCLUSION We provide the first detailed quantitative analysis of the HIV epidemic in a well defined population and find a resurgent epidemic in the era of highly active antiretroviral therapy, most likely predominantly caused by increasing sexual risk behaviour.
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Izopet J, Marchou B, Charreau I, Sauné K, Tangre P, Molina JM, Jean-Pierre A. HIV-1-Resistant Strains during 8-Week on 8-Week off Intermittent Therapy and their Effect on CD4 + T-cell Counts and Antiviral Response. Antivir Ther 2008. [DOI: 10.1177/135965350801300410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background We aimed here to study drug-associated HIV resistance mutations in peripheral blood mononuclear cells (PBMC) and plasma during intermittent therapy. Methods A substudy of 86 patients randomized to the intermittent treatment arm (8-week on/8-week off) of the ANRS 106 Window trial. HIV reverse transcriptase and protease genes were sequenced and resistance mutations identified according to the International AIDS Society list. Results Resistance mutations were detected in PBMC of 27/86 (31%) patients at baseline and 25/72 (35%) patients at week 96. Resistance mutations were detected in plasma of 28/86 (33%), 24/83 (29%) and 33/80 (41%) patients at weeks 8, 40 and 88, respectively. The detection of nucleoside reverse transcriptase inhibitor and protease inhibitor associated resistance mutations in plasma remained stable over time, but there was an increase in non-nucleoside reverse transcriptase inhibitor (NNRTI)-associated resistance mutations in patients on an NNRTI-based regimen: 1/33 (3%) versus 7/26 patients (27%) at weeks 8 and 88, respectively ( P=0.02). The proportions of patients with plasma HIV RNA levels ≤400 copies/ml after 8 weeks of treatment at weeks 16, 48 and 96 in patients with drug-resistant and wild-type viruses were 93% versus 74% ( P=0.04), 96% versus 88% ( P=0.43) and 70% versus 84% ( P=0.13), respectively. Patients with drug-resistant virus had a lower CD4+ T-cell decrease from baseline at weeks 40 and 88 as compared to patients with wild-type virus ( P=0.05 and 0.002, respectively). Conclusions NNRTI-associated resistance mutations increased over time in plasma of patients who were given NNRTIs. Drug-associated HIV resistance mutations did not seem to impair short-term antiviral response and might be associated with reduced CD4+ T-cell loss during interruptions.
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Affiliation(s)
- Jacques Izopet
- INSERM U563 - IFR30, Université de Toulouse et Laboratoire de, Virologie, Institut Fédératif de Biologie de Purpan, CHU de Toulouse, France
| | - Bruno Marchou
- Service des Maladies infectieuses et tropicales, CHU deToulouse, France
| | | | - Karine Sauné
- INSERM U563 - IFR30, Université de Toulouse et Laboratoire de, Virologie, Institut Fédératif de Biologie de Purpan, CHU de Toulouse, France
| | | | - Jean-Michel Molina
- Service des Maladies infectieuses et tropicales, Hôpital Saint-Louis, Assistance Publique des Hôpitaux de Paris, et Université de Paris 7, France
| | - Aboulker Jean-Pierre
- Service des Maladies infectieuses et tropicales, Hôpital Saint-Louis, Assistance Publique des Hôpitaux de Paris, et Université de Paris 7, France
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Abstract
In addition to development or selection of resistance, failure to continuously suppress HIV-1 production while still using initially effective combination antiretroviral therapy (cART) may result from super-infection with a drug-resistant strain. Both transmission of drug resistant HIV and super-infection have been demonstrated. We analysed HIV pol genes obtained before start of initially successful cART and during failure while still on cART in 101 patients. Difference in precART and cART failure sequences were explained by evolution and not by super-infection.
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Hubben GAA, Bos JM, Veltman-Starkenburg CA, Stegmeijer S, Finnern HW, Kappelhoff BS, Simpson KN, Tramarin A, Postma MJ. Cost-effectiveness of tipranavir versus comparator protease inhibitor regimens in HIV infected patients previously exposed to antiretroviral therapy in the Netherlands. COST EFFECTIVENESS AND RESOURCE ALLOCATION 2007; 5:15. [PMID: 18034881 PMCID: PMC2211743 DOI: 10.1186/1478-7547-5-15] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2007] [Accepted: 11/22/2007] [Indexed: 11/10/2022] Open
Abstract
Background This study compares the costs and effects of a regimen with ritonavir-boosted tipranavir (TPV/r) to a physician-selected genotypically-defined standard-of-care comparator protease inhibitor regimen boosted with ritonavir (CPI/r) in HIV infected patients that were previously exposed to antiretroviral therapy in the Netherlands. Methods We compared the projected lifetime costs and effects of two theoretical groups of 1000 patients, one receiving a standard of care regimen with TPV/r as a component and the other receiving a standard of care regimen with CPI/r. A 3-stage Markov model was formulated to represent three different consecutive HAART regimens. The model uses 12 health states based on viral load and CD4+ count to simulate disease progression. The transition probabilities for the Markov model were derived from a United States cohort of treatment experienced HIV patients. Furthermore, the study design was based on 48-week data from the RESIST-2 clinical trial and local Dutch costing data. Cost and health effects were discounted at 4% and 1.5% respectively according to the Dutch guideline. The analysis was conducted from the Dutch healthcare perspective using 2006 unit cost prices. Results Our model projects an accumulated discounted cost to the Dutch healthcare system per patient receiving the TPV/r regimen of €167,200 compared to €145,400 for the CPI/r regimen. This results in an incremental cost of €21,800 per patient. The accumulated discounted effect is 7.43 life years or 6.31 quality adjusted life years (QALYs) per patient receiving TPV/r, compared to 6.91 life years or 5.80 QALYs per patient receiving CPI/r. This translates into an incremental effect of TPV/r over CPI/r of 0.52 life years gained (LYG) or 0.51 QALYs gained. The corresponding incremental cost effectiveness ratios (iCERs) are €41,600 per LYG and €42,500 per QALY. Conclusion We estimated the iCER for TPV/r compared to CPI/r at approximately €40,000 in treatment experienced HIV-1 infected patients in the Netherlands. This ratio may well be in range of what is acceptable and warrants reimbursement for new drug treatments in the Netherlands, in particular in therapeutic areas as end-stage oncology and HIV and other last-resort health-care interventions.
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Affiliation(s)
- Gijs A A Hubben
- University Center for Pharmacy, University of Groningen, The Netherlands.
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Baldwin C, Berkhout B. HIV-1 drug-resistance and drug-dependence. Retrovirology 2007; 4:78. [PMID: 17961213 PMCID: PMC2129100 DOI: 10.1186/1742-4690-4-78] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2007] [Accepted: 10/25/2007] [Indexed: 11/25/2022] Open
Abstract
In this review, we will describe several recent HIV-1 studies in which a drug-dependent virus variant was selected. A common evolutionary route to the drug-dependence phenotype is proposed. First, the selection of a drug-resistance mutation that also affects the function of the targeted viral protein. Second, a compensatory mutation that repairs the protein function, but in the presence of the drug, which becomes an intrinsic part of the mechanism. The clinical relevance of drug-dependent HIV-1 variants is also discussed.
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Affiliation(s)
- Chris Baldwin
- Laboratory of Experimental Virology, Department of Medical Microbiology, Center for Infection and Immunity Amsterdam (CINIMA), Academic Medical Center of the University of Amsterdam, the Netherlands.
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Abstract
OBJECTIVES Representative prevalence data of transmitted drug-resistant HIV-1 are essential to establish accurate guidelines addressing resistance testing and first-line treatments. METHODS Systematic resistance testing was carried out in individuals in Switzerland with documented HIV-1 seroconversion during 1996-2005 and available samples with RNA > 1000 copies/ml obtained within 1 year of estimated seroconversion. Resistance interpretation used the Stanford list of mutations for surveillance of transmitted drug resistance and the French National Agency for AIDS Research algorithm. RESULTS Viral sequences from 822 individuals were available. Risk groups were men having sex with men (42%), heterosexual contacts (32%) and intravenous drug users (20%); 30% were infected with non-B subtype viruses. Overall, prevalence of transmitted resistance was 7.7% [95% confidence interval (CI), 5.9-9.5] for any drug, 5.5% (95% CI, 3.9-7.1) for nucleoside reverse transcriptase inhibitors, 1.9% (95% CI, 1.0-2.8) for non-nucleoside reverse transcriptase inhibitors and 2.7% (95% CI, 1.6-3.8) for protease inhibitors. Dual- or triple-class resistance was observed in 2% (95% CI, 0.8-2.5). No significant trend in prevalence of transmitted resistance was observed over years. There were no differences according to ethnicity, risk groups or gender, but prevalence of transmitted resistance was highest among individuals infected with subtype B virus. CONCLUSIONS The transmission rate of drug-resistant HIV-1 has been stable since 1996, with very rare transmission of dual- or triple-class resistance. These data suggest that transmission of drug resistance in the setting of easy access to antiretroviral treatment can remain stable and be kept at a low level.
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Welles SL, Bauer GR, LaRussa PS, Colgrove RC, Pitt J. Time Trends for HIV-1 Antiretroviral Resistance Among Antiretroviral-Experienced and Naive Pregnant Women in New York City During 1991 to Early 2001. J Acquir Immune Defic Syndr 2007; 44:329-35. [PMID: 17179768 DOI: 10.1097/qai.0b013e31802f1296] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Time trends in the prevalence of drug resistance to antiretroviral therapy (ART) in pregnant women have not been studied. Treatment and prophylactic efficacy could be compromised by drug-resistant HIV strains. We conducted a repeated cross-sectional study of antiretroviral resistance mutations to nucleoside reverse transcriptase inhibitors (NRTIs) and nonnucleoside reverse transcriptase inhibitors (NNRTIs) and of major mutations to protease inhibitors (PIs) in virus isolates from 300 HIV-infected pregnant women in New York City from 1991 to early 2001. The overall prevalence of mutations for NRTIs from 1991 to early 2001 was higher for ART-experienced (25.6% [95% confidence interval (CI): 19.1% to 32.1%]) than ART-naive (8.6% [95% CI: 3.7% to 13.4%]) mothers (P < 0.002). For NNRTIs, the overall prevalence of mutations was somewhat higher among ART-experienced (5.8% [95% CI: 2.3% to 9.3%]) versus ART-naive (1.6% [95% CI: 0% to 3.7%]) women (P = 0.06), and increased over time for ART-naive women (0%-7.4%; P = 0.03) and ART-experienced women (0%-19.4%; P = 0.0002). The prevalence of PI-associated mutations was also higher overall among ART-experienced mothers (5.8% [95% CI: 2.3% to 9.3%] vs. 1.6% [95% CI: 0% to 3.7%]; P = 0.06), with increases over time seen for ART-naive women (0%-7.4%; P = 0.03) and ART-experienced women (0%-16.1%; P = 0.0008). The increasing prevalence of drug resistance in pregnant women, including those who are drug-naive, underscores the necessity for resistance testing to guide treatment to achieve suppression of the mother's virus.
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Affiliation(s)
- Seth L Welles
- Department of Epidemiology, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, USA.
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31
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van der Hoek L, Pollakis G, Lukashov VV, Jebbink MF, Jeeninga RE, Bakker M, Dukers N, Jurriaans S, Paxton WA, Back NKT, Berkhout B. Characterization of an HIV-1 group M variant that is distinct from the known subtypes. AIDS Res Hum Retroviruses 2007; 23:466-70. [PMID: 17411380 DOI: 10.1089/aid.2006.0184] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
We identified an HIV-1 variant that belongs to the M group, with limited similarity of short genetic regions (100-200 nt) to subtype K, but the remainder of the genome is unrelated to any established HIV-1 subtype. The isolate was obtained from an HIV-1-positive male, living in the Netherlands, who encountered the virus before 1989, most probably via heterosexual contact in Africa. We describe the full-length genome sequence of four biological clones that were obtained from two samples collected 5 years apart. At both time points all open reading frames were intact. Within the 5-year interval, the person received antiretroviral therapy with zalcitabine and zidovudine for almost 4 years. Evolution of drug-resistant variants is likely given the increase in viral RNA load to +/-10,000 copies/ml during the last year of treatment. Surprisingly, the only regular RT mutation acquired during this period was K70R, which suggests that the genetic background of this variant is perhaps not suitable for the generation of the standard 41L, 67N, and 215Y/F mutations that typically arise during prolonged, nonsuccessful, zidovudine treatment. Awaiting the discovery of at least two additional, epidemiologically unrelated patients with a phylogenetically related HIV-1 variant, we can designate this variant a new HIV-1 subtype, or a distinct branch of subtype K.
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Affiliation(s)
- Lia van der Hoek
- Laboratory of Experimental Virology, and Department of Medical Microbiology, Center for Infection and Immunity Amsterdam (CINIMA), Academic Medical Center of the University of Amsterdam, Amsterdam, the Netherlands.
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Dukers NHTM, Fennema HSA, van der Snoek EM, Krol A, Geskus RB, Pospiech M, Jurriaans S, van der Meijden WI, Coutinho RA, Prins M. HIV incidence and HIV testing behavior in men who have sex with men: using three incidence sources, The Netherlands, 1984-2005. AIDS 2007; 21:491-9. [PMID: 17301568 DOI: 10.1097/qad.0b013e328011dade] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND In The Netherlands, the western part, including Rotterdam and Amsterdam harbors the majority of the known HIV-infected population, of whom men who have sex with men (MSM) comprise the largest transmission category. Given a general rise in sexually transmitted infections (STI) and risky sexual behavior, we examine the HIV incidence among MSM in the Netherlands with data from three different sources. METHODS To describe the HIV epidemic among MSM we use: a prospective cohort study in Rotterdam (ROHOCO: 1998-2003, n = 265) and another in Amsterdam (ACS: 1984-2005, n = 1498]) plus an anonymous HIV surveillance study (Amsterdam STI clinic: 1991-2004, n = 3733) in which HIV-positive MSM were tested with a less-sensitive HIV assay. We evaluated calendar trends in HIV incidence, also focusing on age effects. RESULTS Since the start of the HIV epidemic in the early 1980s, incidence has declined strongly in the ACS. In recent years, an increase was noted among older MSM attending the Amsterdam STI clinic (P = 0.0334). In both cohort studies, HIV incidence was lower and recent time-trends were not statistically significant. Among recently infected men at the STI clinic, only 40% accepted named HIV testing at their STI consultation. CONCLUSIONS Data suggest that among MSM in the Netherlands, the HIV incidence is between one and four infections per 100 person-years. The epidemic expands among older STI clinic attendees. Prevention should be developed specifically for older men, along with a more efficient HIV testing approach such as routine HIV testing of MSM when they are screened for STI.
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Affiliation(s)
- Nicole H T M Dukers
- Department of Research, Cluster Infectious Diseases, Health Service of Amsterdam, The Netherlands.
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Vella S, Palmisano L. The global status of resistance to antiretroviral drugs. Clin Infect Dis 2007; 41 Suppl 4:S239-46. [PMID: 16032559 DOI: 10.1086/430784] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Since 1989, the emergence of resistant human immunodeficiency virus mutants has been documented for any new antiretroviral agent introduced in the clinical setting; it is a major cause of failure of antiretroviral therapy that may ultimately compromise the antiretroviral's efficacy in the general population. In most cases, resistance is due to poor adherence by the patient and/or to low potency of the therapeutic regimen. Resistance is called "primary" if detected in treatment-naive persons and is called "acquired" when it develops in treatment-experienced persons. This latter population represents potential transmitters of resistant viruses to newly infected persons. Data about the actual prevalence of resistance are derived from studies that differ in design, sample size, geographic area, and definitions. For this reason, a limited number of surveillance programs have been established in the past, both in countries where highly active antiretroviral therapy is widely accessible and in geographic areas where it is being introduced.
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Affiliation(s)
- Stefano Vella
- Department of Drug Research and Evaluation, Istituto Superiore di Sanita, Rome, Italy
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Lindström A, Ohlis A, Huigen M, Nijhuis M, Berglund T, Bratt G, Sandström E, Albert J. HIV-1 Transmission Cluster with M41L ‘Singleton’ Mutation and Decreased Transmission of Resistance in Newly Diagnosed Swedish Homosexual Men. Antivir Ther 2006. [DOI: 10.1177/135965350601100807] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective To investigate the prevalence of HIV-1 with major drug resistance-associated mutations among 261 men who have sex with men (MSM) who were newly diagnosed as HIV-1-infected at Venhälsan, Stockholm, between 1992–2002. Methods Major resistance-associated mutations were identified using an in-house method on stored plasma samples collected within 6 months of diagnosis. Additional samples were investigated from selected patients. Phylogenetic tree analyses were used to study evolutionary relationships between the viruses. Epidemiological data were retrieved from the partner notification investigations and the medical records. Results Informed consent as well as results from the resistance test were available for 201 out of 261 patients (77%) diagnosed during 1992–2002. Viruses from 28 of these 201 patients (14%) displayed major resistance-associated mutations; 27 of these viruses displayed only zidovudine/stavudine resistance-associated mutations. None of the patients displayed resistance mutations to protease inhibitors. The prevalence of resistance-associated mutations decreased over time; 20% in 1992–1996 versus 9% in 1997–2002 ( P=0.04). A transmission cluster involving six patients with a singleton M41L mutation was identified. These viruses were phenotypically sensitive to zidovudine and stavudine. The M41L mutation, as well as most other resistance mutations, was stable for many years after transmission and may have been fixated by other putative compensatory mutations. Conclusions In this Swedish population of MSM with newly diagnosed HIV-1 infection, the prevalence of resistance-associated mutations decreased over time. Reversion of resistance-associated mutations following transmission was slow and incomplete. A large transmission cluster with an interesting M41L singleton mutation was also observed.
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Affiliation(s)
- Anna Lindström
- Department of Virology, Immunology and Vaccinology, Swedish Institute for Infectious Disease Control, Solna, Sweden
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Anna Ohlis
- Venhälsan, Söder Hospital, Stockholm, Sweden
| | - Marleen Huigen
- Eijkman-Winkler Center, Department of Virology, University Medical Center, Utrecht, The Netherlands
| | - Monique Nijhuis
- Eijkman-Winkler Center, Department of Virology, University Medical Center, Utrecht, The Netherlands
| | - Torsten Berglund
- Department of Epidemiology, Swedish Institute for Infectious Disease Control, Solna, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Göran Bratt
- Venhälsan, Söder Hospital, Stockholm, Sweden
| | | | - Jan Albert
- Department of Virology, Immunology and Vaccinology, Swedish Institute for Infectious Disease Control, Solna, Sweden
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
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Chin BS, Choi J, Nam JG, Kee MK, Suh SD, Choi JY, Chu C, Kim SS. Inverse relationship between viral load and genotypic resistance mutations in Korean patients with primary HIV type 1 infections. AIDS Res Hum Retroviruses 2006; 22:1142-7. [PMID: 17147501 DOI: 10.1089/aid.2006.22.1142] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The transmission of antiretroviral-resistant HIV-1 strains is associated with suboptimal virological responses to initial antiretroviral therapy. However, certain types of resistance mutations are known to be associated with decreased viral fitness, which confers a lower replication capacity than that of the wild-type virus in the absence of antiretroviral drugs. Therefore, we evaluated the relationship between antiretroviral resistance mutations and viral replication in the primary HIV-1 infection (PHI) period. From January 2002 to March 2005, 52 PHI patients were identified in the Republic of Korea. HIV-1 RNA genotyping was performed, and the resistance mutation score was obtained from the HIV Drug Resistance Database of Stanford University. We defined the sum of the average resistance mutation scores (SARMS) for each antiretroviral drug class as a measure of the degree of resistance of any specific strain. The overall mean SARMS was 2.00 +/- 2.74, and the annual mean did not change significantly during the study period. No critical resistance mutation gene was identified in the study group. The SARMS showed a weak negative correlation with the viral load log10 during PHI, but without statistical significance (r = -0.274, p = 0.051). But the mean SARMS of patients with a viral load exceeding 100,000 copies/ml was significantly lower than that of patients with a viral load of less than 100,000 copies/ml (p = 0.03). Evaluation of the potency of antiretroviral resistance revealed a weak negative correlation with viral replication in the PHI period. This could be one reason why the transmission of resistant strains in PHI patients is not increasing significantly despite the widespread use of highly active antiretroviral therapy (HAART).
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Affiliation(s)
- Bum Sik Chin
- Division of AIDS, Center for Immunology and Pathology, National Institute of Health, Seoul, Republic of Korea
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Berkhout B, Back NK, de Ronde A, Jurriaans S, Bakker M, Parkin NT, van der Hoek L. Identification of alternative amino acid substitutions in drug-resistant variants of the HIV-1 reverse transcriptase. AIDS 2006; 20:1515-20. [PMID: 16847406 DOI: 10.1097/01.aids.0000237367.56864.75] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE/DESIGN To identify new drug-resistance-associated mutations in the HIV-1 reverse transcriptase (RT) protein, we screened the RT sequence database of our hospital for alternative amino acid substitutions at known RT drug-resistance positions. METHOD The genotypic database used for this analysis contained 1322 RT sequences from 1015 patients. We analysed this RT database with a focus on alternative mutations at RT positions known to be involved in drug resistance. The patterns of drug resistance associated with these alternative mutations were investigated in a separate database containing genotype and drug-susceptibility results. RESULTS We identified multiple alternative resistance-associated mutations at amino acid positions 44, 62, 67, 69, 70, 74, 75, 103, 181, 190, 210, and 219 in RT. Phenotypic analysis indicated that drug-resistance properties of the alternative Y181V and L74I mutants are similar, but not identical, to that of the well-known Y181C and L74V mutations. CONCLUSION This initial survey indicates that many resistance-associated phenomena can be distilled from existing data. These findings endorse a more extensive analysis by computerized methods.
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Affiliation(s)
- Ben Berkhout
- Department of Human Retrovirology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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Lohse N, Obel N, Kronborg G, Jørgensen LB, Pedersen C, Larsen CS, Kvinesdal B, Sørensen HT, Gerstoft J. Declining Prevalence of HIV-Infected Individuals at Risk of Transmitting Drug-Resistant HIV in Denmark during 1997–2004. Antivir Ther 2006. [DOI: 10.1177/135965350601100506] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Transmission of drug-resistant HIV is a potential threat to the substantial clinical benefit of highly active antiretroviral therapy (HAART). To explore the background for the low rates of drug resistance transmission (2–5%) in our population, we estimated acquisition of HIV drug resistance and examined temporal trends in the prevalence of patients at risk of transmitting drug-resistant HIV. Methods The study population included all 4,025 patients from The Danish HIV Cohort Study seen during the period 1995–2004. Virological failure to a given drug class was defined as a viral load (VL) >1,000 copies/ml for 120 days while on a HAART regimen including that drug class. In addition, receiving nucleoside reverse transcriptase inhibitors (NRTIs) for 180 days before HAART counted as NRTI failure irrespective of VL. Having experienced failure was considered a proxy for harbouring drug-resistant virus in subsequent observation time. Patients with a current VL >1,000 copies/ml were considered at risk of transmitting HIV. Results We found a decrease from 1997 to 2004 in the prevalence of potential transmitters of drug-resistant HIV. The number of these patients with previous NRTI failure decreased from 429 (24% of all patients) in 1998 to 213 (8.0% of all patients) in 2004. Previous protease inhibitor (PI) failure peaked at 279 (14%) in 1999, declining to 142 (5.3%) in 2004. Previous NNRTI failure peaked at 121 patients (4.7%) in 2002, and occurred in 113 patients (4.2%) in 2004. Of all 686 potential transmitters in 2004, 31% had previously experienced NRTI failure, 21% PI failure, and 16% non-NRTI failure. Conclusion In the population of HIV-infected individuals in Denmark with complete follow-up, the number at risk of transmitting drug-resistant virus declined over time.
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Affiliation(s)
- Nicolai Lohse
- Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Niels Obel
- Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Gitte Kronborg
- Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | | | - Court Pedersen
- Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | | | | | - Henrik Toft Sørensen
- Aarhus University Hospital, Aarhus, Denmark and Boston School of Public Health, Boston, MA, USA
| | - Jan Gerstoft
- Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
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Shet A, Berry L, Mohri H, Mehandru S, Chung C, Kim A, Jean-Pierre P, Hogan C, Simon V, Boden D, Markowitz M. Tracking the prevalence of transmitted antiretroviral drug-resistant HIV-1: a decade of experience. J Acquir Immune Defic Syndr 2006; 41:439-46. [PMID: 16652051 DOI: 10.1097/01.qai.0000219290.49152.6a] [Citation(s) in RCA: 145] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Transmitted resistance to antiretroviral drugs in acute and early HIV-1 infection has been well documented, although overall trends vary depending on geography and cohort characteristics. To describe the changing pattern of transmitted drug-resistant HIV-1 in a well-defined cohort in New York City, a total of 361 patients with acute or recent HIV-1 infection were prospectively studied over a decade (1995-2004) with respect to HIV-1 genotypes and longitudinal T-cell subsets and HIV-1 RNA levels. The prevalence of overall transmitted resistance changed from 13.2% to 24.1% (P = 0.11) during the periods 1995 to 1998 and 2003 to 2004. Nonnucleoside reverse transcriptase inhibitor resistance prevalence increased significantly from 2.6% to 13.4% (P = 0.007) during the same periods, whereas prevalence of multidrug-resistant virus shifted from 2.6% to 9.8% (P = 0.07) but did not achieve statistical significance. A comparable immunologic and virologic response of appropriately treated individuals was observed regardless of viral drug susceptibility status, suggesting that initial combination therapy guided by baseline resistance testing in the case of acute and early infection may result in a favorable treatment response even in the case of a drug-resistant virus. These data have important implications for selection of empiric first-line regimens for treatment of acutely infected antiretroviral-naive individuals and reinforce the need for baseline resistance testing in acute and early HIV-1 infection.
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Affiliation(s)
- Anita Shet
- Aaron Diamond AIDS Research Center (an affiliate of the Rockefeller University), New York, NY 10016, USA
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Oette M, Kaiser R, Däumer M, Petch R, Fätkenheuer G, Carls H, Rockstroh JK, Schmalöer D, Stechel J, Feldt T, Pfister H, Häussinger D. Primary HIV drug resistance and efficacy of first-line antiretroviral therapy guided by resistance testing. J Acquir Immune Defic Syndr 2006; 41:573-81. [PMID: 16652031 DOI: 10.1097/01.qai.0000214805.52723.c1] [Citation(s) in RCA: 81] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Primary HIV drug resistance has been associated with poor treatment outcome of first-line highly active antiretroviral therapy (HAART) in several trials. The aim of the study was to assess the efficacy of first-line HAART guided by resistance testing. METHODS In a prospective multicenter study in the state of Nordrhein-Westfalen, Germany, chronically HIV-infected patients underwent genotypic resistance testing and were monitored for 48 weeks after initiation of HAART. RESULTS Primary drug resistance was found in 30 of 269 patients entering the study between January 2001 and December 2003 [11.2%; 95% confidence interval, 7.4-14.9]. In intent-to-treat analysis, the proportion of patients with viral load below 50 copies/mL after 24 and 48 weeks was 70.0% and 66.7%, respectively, in patients with resistance and 74.1% and 73.6%, respectively, in patients without (P = 0.66 and 0.51). In on-treatment analysis, the proportions were 80.8% and 83.3%, respectively, in patients with resistance and 81.9% and 85.0%, respectively, in patients without (P= 0.79 and 0.77). These results were also valid considering a detection limit of 400 copies/mL. CONCLUSIONS The prevalence of primary drug resistance was 11.2% in chronically HIV-infected patients. HAART guided by resistance testing had similar efficacy in patients with primary drug resistance as compared with patients with wild-type virus. Based on these facts, resistance-adapted first-line HAART is suggested as routine practice.
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Affiliation(s)
- Mark Oette
- Clinic for Gastroenterology, Hepatology, and Infectious Diseases, University Clinic Düsseldorf, Moorenstrasse 5, 40225 Düsseldorf, Germany.
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Abstract
Observed declines in drug resistance to nucleoside reverse transcriptase inhibitors among persons recently infected with HIV-1 in monitored subpopulations can be interpreted as a positive sign and lead public health officials to decrease efforts towards HIV prevention. By means of a mathematical model, we identified 3 processes that can account for the observed decline: increase in high-risk behavior, decrease in proportion of acutely infected persons whose conditions are treated, and change in treatment efficacy. These processes, singly or in combination, can lead to increases or decreases in disease and drug-resistance prevalence in the general population. We discuss the most appropriate public health response under each scenario and emphasize how further data collection and analyses are required to more reliably evaluate the observed time trends and the relative importance of forces shaping the epidemic. Our study highlights how drug resistance markers can be used as epidemiologic sentinels to devise public health solutions.
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Smit C, Lindenburg K, Geskus RB, Brinkman K, Coutinho RA, Prins M. Highly active antiretroviral therapy (HAART) among HIV-infected drug users: a prospective cohort study of sexual risk and injecting behaviour. Addiction 2006; 101:433-40. [PMID: 16499516 DOI: 10.1111/j.1360-0443.2006.01339.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AIMS To study sexual risk and injecting behaviour among HIV-infected drug users (DU) receiving highly active antiretroviral therapy (HAART). DESIGN AND SETTING As part of an ongoing prospective cohort study, HIV-infected DU who commenced HAART (n=67) were matched with those not starting HAART (n=130) on CD4 cell counts, duration of cohort participation, age and calendar year of visit. Immunological and virological responses of the HAART-treated DU were compared with the HAART-treated homosexual men from the same cohort (n=212). MEASUREMENTS Trends in behaviour and therapeutic response were tested with a logistic regression model adjusted for repeated measurements and a piecewise random effects model, respectively. FINDINGS Non-HAART users reported more episodes of injecting than HAART users. In both groups injecting declined over time with no effect of HAART initiation. Before HAART initiation an increase in sexual risk behaviour was observed among those who had been assigned to receive HAART; their sexual risk behaviour declined thereafter. No change in sexual risk behaviour was found among non-HAART users. Relative to homosexual men, DU had a similar initial therapeutic response, but DU started HAART at lower CD4 cell counts and higher viral load levels. Conclusion DU who are treated with HAART are not increasing their risk behaviour, and their early response to HAART is similar to homosexual men. However, before the treated DU received HAART they were seen to inject less often than those not treated with HAART. This suggests that selection of potential HAART starters is based on limited drug use. Although the DU who commence HAART are a selected group, our results show that HIV-infected DU can be treated effectively.
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Bezemer D, de Ronde A, Prins M, Porter K, Gifford R, Pillay D, Masquelier B, Fleury H, Dabis F, Back N, Jurriaans S, van der Hoek L, Babiker A, Bhaskaran K, Darbyshire J, Porter K, Walker AS, Gifford R, Pillay D, Balestre E, Capdepont S, Chê G, Dabis F, Hervé F, Masquelier B, Thiébaut R, Hamouda O, Kücherer C, Poggensee G, Balotta C, Longo B, Rezza G, Deho L, Rodriguez C, Soriano V, García-Saiz A, del Romero J, Ortiz M, de Mendoza C, Back N, Coutinho R, Prins M, van der Hoek L, Jørgensen LB, Nielsen C, Pedersen C, Babiker A, Darbyshire JH, Gill N, Johnson AM, Phillips AN, Porter K, Gill MJ, Gingues S. Evolution of Transmitted HIV-1 with Drug-Resistance Mutations in the Absence of Therapy: Effects on Cd4 + T-Cell Count and HIV-1 Rna Load. Antivir Ther 2006. [DOI: 10.1177/135965350601100208] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Sequence analysis of HIV-1 from 440 therapy-naive individuals included within the CASCADE study, who seroconverted within 18 months of the last negative test, identified 65 persons infected with a strain carrying resistance-associated mutations. Population-based sequencing was performed for 20 of these individuals during the therapy-free follow-up period. The median time of follow-up was 15 months (interquartile range from 10 to 23 months). Of these individuals, 12 showed subsequent evolution at the resistance positions, whereas the virus of 8 people was stable during this period. In the reverse transcriptase (RT) gene, the drug-resistant 215Y or 215F codons evolved to alternative codons in all six cases, 70R reverted to the wild-type 70K in 3 of the 4 individuals, 67N evolved only in 1 of 4 patients to a wild-type 67D, 215S evolved to wild-type 215T in 1 of 3 patients, 219N evolved to 219K in 1 of 2 patients, and one patient with 184V reversed to the wild-type 184M. The 181C variant evolved to the wild-type 181Y in 1 of 2 individuals. These codon changes were caused by single nucleotide mutations. No evolution was observed for other RT mutations: 41L, 69D, 69N, 190S, 210W, 215L, 215C, 215E and 219Q. In the protease gene, resistance mutations 84V and 90M were stable in 2 individuals. Comparing the CD4+ T-cell count of the 12 evolving versus the 8 stable cases revealed no statistically significant difference at the date of the first sequence following seroconversion. Interestingly, a lower CD4+ T-cell count was observed in the group without evolution at the second sequence time point ( P=0.043). No difference in HIV-1 RNA load was observed. These results, together with the apparent pressure to mutate at the resistance-associated positions exemplify the decreased fitness of viruses carrying 215Y/F, 70R or 184V
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Affiliation(s)
- Daniela Bezemer
- Municipal Health Service, Amsterdam, the Netherlands
- Population Biology Section, University of Amsterdam, the Netherlands
| | - Anthony de Ronde
- Department of Human Retrovirology, Academic Medical Centre, University of Amsterdam, the Netherlands
| | - Maria Prins
- Municipal Health Service, Amsterdam, the Netherlands
- Department of Human Retrovirology, Academic Medical Centre, University of Amsterdam, the Netherlands
| | | | | | | | - Bernard Masquelier
- Département de Virologie et Immunologie biologique, CHU Bordeaux, France
| | - Hervé Fleury
- Département de Virologie et Immunologie biologique, CHU Bordeaux, France
| | | | - Nicole Back
- Department of Human Retrovirology, Academic Medical Centre, University of Amsterdam, the Netherlands
| | - Suzanne Jurriaans
- Department of Human Retrovirology, Academic Medical Centre, University of Amsterdam, the Netherlands
| | - Lia van der Hoek
- Department of Human Retrovirology, Academic Medical Centre, University of Amsterdam, the Netherlands
| | | | | | | | | | | | - Rob Gifford
- Royal Free & University College Medical School Windeyer Institute
| | - Deenan Pillay
- Royal Free & University College Medical School Windeyer Institute
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Carmen de Mendoza
- Amsterdam Cohort Studies among homosexual men and drug users, the Netherlands
| | - Nicole Back
- Amsterdam Cohort Studies among homosexual men and drug users, the Netherlands
| | - Roel Coutinho
- Amsterdam Cohort Studies among homosexual men and drug users, the Netherlands
| | - Maria Prins
- Amsterdam Cohort Studies among homosexual men and drug users, the Netherlands
| | - Lia van der Hoek
- Amsterdam Cohort Studies among homosexual men and drug users, the Netherlands
| | | | | | | | | | | | - Noël Gill
- UK Register of HIV Seroconverters, United Kingdom
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Masquelier B, Bhaskaran K, Pillay D, Gifford R, Balestre E, Jørgensen LB, Pedersen C, van der Hoek L, Prins M, Balotta C, Longo B, Kücherer C, Poggensee G, Ortiz M, de Mendoza C, Gill J, Fleury H, Porter K. Prevalence of transmitted HIV-1 drug resistance and the role of resistance algorithms: data from seroconverters in the CASCADE collaboration from 1987 to 2003. J Acquir Immune Defic Syndr 2006; 40:505-11. [PMID: 16284524 DOI: 10.1097/01.qai.0000186361.42834.61] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To examine factors influencing the rate of transmitted drug resistance (TDR) among seroconverters, with particular emphasis on 3 widely used genotypic drug resistance algorithms. METHODS The study used data from CASCADE (Concerted Action on Seroconversion to AIDS and Death in Europe), a collaboration of seroconverter cohorts in Europe and Canada. Genotypic resistance data were derived within 18 months of the last seronegative test or date of laboratory evidence of acute infection and before the initiation of antiretroviral therapy. The Stanford algorithm was used to analyze each individual's nucleotide sequence. A multivariate logistic model was used to assess independent relationships between the presence of TDR and exposure category, sex, age at seroconversion, and year of seroconversion. The paper also describes 3 alternative definitions of resistance: the Stanford algorithm, the key resistance mutations defined by the International AIDS Society, and the Agence Nationale de Recherches sur le Sida (ANRS) algorithm. RESULTS Forty-five of 438 patients (10.3%) seroconverting between 1987 and 2003 were infected with a drug-resistant HIV-1 variant. Forty patients (9.1%) showed resistance mutations to only 1 class of antiretroviral drugs, 2 (0.5%) to 2 classes, and 3 (0.7%) to 3 classes of antiretroviral therapy. It was suggested that individuals seroconverting later in calendar time were more likely to have TDR (relative risk 3.89 and 95% CI: 0.84 to 18.02, and relative risk 4.69 and 95% CI: 1.03 to 21.31, for 1996-1999 and 2000-2003, respectively, compared with pre-1996; P trend = 0.08). This trend was apparent regardless of the definition of TDR used. The total estimated proportion of individuals with TDR varied between 10.3% and 15.5% according to which definition was used. CONCLUSIONS Evidence was found for the rise of TDR over time. A specific definition of what constitutes TDR rather than a simple list of mutations is needed.
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Affiliation(s)
- Bernard Masquelier
- Département de Virologie et Immunologie Biologique, CHU Bordeaux, France.
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Pillay D, Bhaskaran K, Jurriaans S, Prins M, Masquelier B, Dabis F, Gifford R, Nielsen C, Pedersen C, Balotta C, Rezza G, Ortiz M, de Mendoza C, Kücherer C, Poggensee G, Gill J, Porter K. The impact of transmitted drug resistance on the natural history of HIV infection and response to first-line therapy. AIDS 2006; 20:21-8. [PMID: 16327315 DOI: 10.1097/01.aids.0000196172.35056.b7] [Citation(s) in RCA: 85] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Transmission of drug-resistant HIV-1 is well recognized. However, the impact of such transmission on natural history of infection remains unknown. METHODS Three hundred HIV-1-infected, antiretroviral-naive individuals, recruited between 1987 and 1993, and with resistance tests undertaken within 18 months of infection were assessed. We estimated the impact of transmitted drug resistance (TDR) on subsequent CD4 cell count decline in the absence of treatment. We also used Kaplan-Meier methods to assess the response to antiretroviral therapy based on the number of active drugs utilized (according to genotypic resistance results). RESULTS Infection with any form of drug-resistant HIV-1 was associated with a steeper decline of CD4 cell count over the first year of infection. Estimated rates of decline in the first year were 5.0 [95% confidence interval (CI), 2.8-7.3] and 1.7 (95% CI, 0.8-2.6) radicalCD4 cells per year for TDR and no TDR, respectively (P = 0.005). For an individual at a CD4 cell count of 500 cells/microl at seroconversion, these rates correspond to a CD4 cell loss of 199 and 73 cells/microl, respectively, in the first year. Thereafter we found no evidence of a difference in the rate of CD4 cell decline (P = 0.32). Initiation of HAART after calendar year 2000, but not number of active drugs, was associated with improved responses. CONCLUSIONS The impact of transmitted HIV-1 drug resistance on CD4 cell decline is time dependent, with greater rates of decline in the first year following infection. We found no evidence of a longer term effect of TDR on natural history of HIV-1 infection.
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Affiliation(s)
- Deenan Pillay
- Centre for Virology, Division of Infection and Immunity, Royal Free and University College Medical School, Windeyer Institute, 46 Cleveland Street, London W1T 4JF, UK.
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Brígido LFM, Franco HM, Custódio RM, Oliveira CAF, P Ferreira JL, Eira M, Bergel F, Araújo F, Carvalheiro JR, Rodrigues R. Molecular characteristics of HIV type 1 circulating in São Paulo, Brazil. AIDS Res Hum Retroviruses 2005; 21:673-82. [PMID: 16060840 DOI: 10.1089/aid.2005.21.673] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Partial sequences of HIV-1 polymerase from 185 patients, 141 ARV experienced and 44 naive, of gag (p24) and env (C2V3) from a subset of naive cases were evaluated in São Paulo, Brazil. Antiretroviral resistance mutations were detected in 4% of 26 recently (<2 years) infected patients. Polymorphisms at the protease gene were common both in contemporary and pre-HAART era isolates, some significantly associated with the viral clade. HIV-1 clade B was preponderant, in 79%, with 11% clade F and one case of HIV-1 C. Recently infected women had a significantly higher proportion of non-B clade HIV-1. A mosaic pol was observed in 9%, all B/F except for one G mosaic. A CRF-12-BF structure, observed in 20% of B/F pol mosaics, provides evidence for an epidemic relationship in the major South American metropolitan areas.
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Affiliation(s)
- Luis F M Brígido
- Retrovirus Laboratory, Virology Service, Adolfo Lutz Institute, São Paulo, Brazil
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van der Hoek L, Back N, Jebbink MF, de Ronde A, Bakker M, Jurriaans S, Reiss P, Parkin N, Berkhout B. Increased multinucleoside drug resistance and decreased replicative capacity of a human immunodeficiency virus type 1 variant with an 8-amino-Acid insert in the reverse transcriptase. J Virol 2005; 79:3536-43. [PMID: 15731248 PMCID: PMC1075723 DOI: 10.1128/jvi.79.6.3536-3543.2005] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Resistance to antiretroviral drugs is generally conferred by specific amino acid substitutions, rather than insertions or deletions, in reverse transcriptase (RT) of human immunodeficiency virus type 1 (HIV-1). The exception to these findings is the amino acid insertions found in the beta3-beta4 loop of the RT enzyme in response to treatment with nucleoside reverse transcriptase inhibitors. This insert consists most commonly of two amino acids, but we describe in detail the evolution of a variant with an 8-amino-acid (aa) insert in a patient treated with zidovudine (ZDV) and 2'-3'-dideoxycytidine (ddC). The 24-nucleotide insert is a partial duplication of local sequences but also contains a sequence segment of unknown origin. Extensive sequence analysis of longitudinal patient samples indicated that the HIV-1 population prior to the start of therapy contained not the wild-type amino acid 215T in RT but a mixture with 215D and 215C. Treatment with ZDV and subsequent ZDV-ddC combination therapy resulted in the evolution of an HIV-1 variant with a typical ZDV resistance genotype (41L, 44D, 67N, 69D, 210W, 215Y), which was slowly replaced by the insert-containing variant (41L, 44D, insert at position 69, 70R, 210W, 215Y). The latter variant demonstrated increased resistance to a wide range of drugs, indicating that the 8-aa insert augments nucleoside analogue resistance. The gain in drug resistance of the insert variant came at the expense of a reduction in replication capacity when assayed in the absence of drugs. We compared these data with the resistance and replication properties of 133 insert-containing sequences of different individuals present in the ViroLogic database and found that the size and actual sequence of the insert at position 69 influence the level of resistance to nucleoside analogues.
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Affiliation(s)
- Lia van der Hoek
- Department of Human Retrovirology, Academic Medical Center, University of Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, The Netherlands
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Berkhout B, de Ronde A, van der Hoek L. Aggressive HIV-1? Retrovirology 2005; 2:13. [PMID: 15737238 PMCID: PMC554757 DOI: 10.1186/1742-4690-2-13] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2005] [Accepted: 02/28/2005] [Indexed: 11/10/2022] Open
Abstract
New York City health officials announced on February 11, 2005 that a patient rapidly developed full-blown AIDS shortly after being diagnosed with a rare, drug-resistant strain of HIV-1. The New York City Department of Health issued an alert to all hospitals and doctors and a press conference was held to announce the emergence of an aggressive HIV-1 strain that may be difficult to treat and that appears to trigger rapid progression to AIDS. Is the panic justified?
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Affiliation(s)
- Ben Berkhout
- Department of Human Retrovirology, Academic Medical Center, University of Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, the Netherlands
| | - Anthony de Ronde
- Department of Human Retrovirology, Academic Medical Center, University of Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, the Netherlands
| | - Lia van der Hoek
- Department of Human Retrovirology, Academic Medical Center, University of Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, the Netherlands
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Tozzi V, Corpolongo A, Bellagamba R, Narciso P. Managing patients with sexual transmission of drug-resistant HIV. Sex Health 2005; 2:135-42. [PMID: 16335541 DOI: 10.1071/sh04048] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The transmission of drug-resistant HIV-1 (primary HIV resistance) is a cause of growing concern. The prevalence of drug-resistant variants in patients with primary HIV-1 infection (PHI) ranges from 10 to 36%. Unlike patients with secondary resistance, patients with primary HIV resistance do not show a rapid conversion to wild-type drug-sensitive virus in the absence of treatment. Moreover, primary HIV-1 resistance is associated with higher rates of treatment failure. Rapid diagnosis is important, since early events in PHI may have a critical role in disease progression. An early diagnosis is also essential to prevent HIV-1 transmission during the high viremic phase of PHI. This review focuses on prevalence, basic principles, diagnostic markers, and approaches for the treatment of PHI due to sexual transmission of drug-resistant HIV-1. The aim of the paper is to help clinicians to deal with patients presenting a PHI due to drug-resistant variants.
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Affiliation(s)
- Valerio Tozzi
- National Institute for Infectious Diseases Lazzaro Spallanzani, Rome, Italy.
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