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Ding X, Chaillon A, Pan X, Zhang J, Zhong P, He L, Chen W, Fan Q, Jiang J, Luo M, Xia Y, Guo Z, Smith DM. Characterizing genetic transmission networks among newly diagnosed HIV-1 infected individuals in eastern China: 2012-2016. PLoS One 2022; 17:e0269973. [PMID: 35709166 PMCID: PMC9202869 DOI: 10.1371/journal.pone.0269973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 06/01/2022] [Indexed: 11/19/2022] Open
Abstract
We aimed to elucidate the characteristics of HIV molecular epidemiology and identify transmission hubs in eastern China using genetic transmission network and lineage analyses. HIV-TRACE was used to infer putative relationships. Across the range of epidemiologically-plausible genetic distance (GD) thresholds (0.1-2.0%), a sensitivity analysis was performed to determine the optimal threshold, generating the maximum number of transmission clusters and providing reliable resolution without merging different small clusters into a single large cluster. Characteristics of genetically linked individuals were analyzed using logistic regression. Assortativity (shared characteristics) analysis was performed to infer shared attributes between putative partners. 1,993 persons living with HIV-1 were enrolled. The determined GD thresholds within subtypes CRF07_BC, CRF01_AE, and B were 0.5%, 1.2%, and 1.7%, respectively, and 826 of 1,993 (41.4%) sequences were linked with at least one other sequence, forming 188 transmission clusters of 2-80 sequences. Clustering rates for the main subtypes CRF01_AE, CRF07_BC, and B were 50.9% (523/1027), 34.2% (256/749), and 32.1% (25/78), respectively. Median cluster sizes of these subtypes were 2 (2-52, n = 523), 2 (2-80, n = 256), and 3 (2-6, n = 25), respectively. Subtypes in individuals diagnosed and residing in Hangzhou city (OR = 1.423, 95% CI: 1.168-1.734) and men who have sex with men (MSM) were more likely to cluster. Assortativity analysis revealed individuals were more likely to be genetically linked to individuals from the same age group (AIage = 0.090, P<0.001) and the same area of residency in Zhejiang (AIcity = 0.078, P<0.001). Additionally, students living with HIV were more likely to be linked with students than show a random distribution (AI student = 0.740, P<0.01). These results highlight the importance of Hangzhou City in the regional epidemic and show that MSM comprise the population rapidly transmitting HIV in Zhejiang Province. We also provide a molecular epidemiology framework for improving our understanding of HIV transmission dynamics in eastern China.
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Affiliation(s)
- Xiaobei Ding
- Department of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China
| | - Antoine Chaillon
- Department of Medicine, University of California, San Diego, California, United States of America
| | - Xiaohong Pan
- Department of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China
| | - Jiafeng Zhang
- Department of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China
| | - Ping Zhong
- Department of AIDS and STD Control and Prevention, Shanghai Municipal Centers for Disease Control and Prevention, Shanghai, China
| | - Lin He
- Department of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China
| | - Wanjun Chen
- Department of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China
| | - Qin Fan
- Department of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China
| | - Jun Jiang
- Department of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China
| | - Mingyu Luo
- Department of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China
| | - Yan Xia
- Department of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China
| | - Zhihong Guo
- Department of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China
| | - Davey M. Smith
- Department of Medicine, University of California, San Diego, California, United States of America
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2
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Gil H, Delgado E, Benito S, Georgalis L, Montero V, Sánchez M, Cañada-García JE, García-Bodas E, Díaz A, Thomson MM. Transmission Clusters, Predominantly Associated With Men Who Have Sex With Men, Play a Main Role in the Propagation of HIV-1 in Northern Spain (2013–2018). Front Microbiol 2022; 13:782609. [PMID: 35432279 PMCID: PMC9009226 DOI: 10.3389/fmicb.2022.782609] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Viruses of HIV-1-infected individuals whose transmission is related group phylogenetically in transmission clusters (TCs). The study of the phylogenetic relations of these viruses and the factors associated with these individuals is essential to analyze the HIV-1 epidemic. In this study, we examine the role of TCs in the epidemiology of HIV-1 infection in Galicia and the Basque County, two regions of northern Spain. A total of 1,158 HIV-1-infected patients from both regions with new diagnoses (NDs) in 2013–2018 were included in the study. Partial HIV-1 pol sequences were analyzed phylogenetically by approximately maximum-likelihood with FastTree 2. In this analysis, 10,687 additional sequences from samples from HIV-1-infected individuals collected in Spain in 1999–2019 were also included to assign TC membership and to determine TCs’ sizes. TCs were defined as those which included viruses from ≥4 individuals, at least 50% of them Spaniards, and with ≥0.95 Shimodaira-Hasegawa-like node support in the phylogenetic tree. Factors associated to TCs were evaluated using odds ratios (OR) and their 95% CI. Fifty-one percent of NDs grouped in 162 TCs. Male patients (OR: 2.6; 95% CI: 1.5–4.7) and men having sex with men (MSM; OR: 2.1; 95% CI: 1.4–3.2) had higher odds of belonging to a TC compared to female and heterosexual patients, respectively. Individuals from Latin America (OR: 0.3; 95% CI: 0.2–0.4), North Africa (OR: 0.4; 95% CI: 0.2–1.0), and especially Sub-Saharan Africa (OR: 0.02; 95% CI: 0.003–0.2) were inversely associated to belonging to TCs compared to native Spaniards. Our results show that TCs are important components of the HIV-1 epidemics in the two Spanish regions studied, where transmission between MSM is predominant. The majority of migrants were infected with viruses not belonging to TCs that expand in Spain. Molecular epidemiology is essential to identify local peculiarities of HIV-1 propagation. The early detection of TCs and prevention of their expansion, implementing effective control measures, could reduce HIV-1 infections.
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Affiliation(s)
- Horacio Gil
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
- *Correspondence: Michael M. Thomson, ; Horacio Gil,
| | - Elena Delgado
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Sonia Benito
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Leonidas Georgalis
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Vanessa Montero
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Mónica Sánchez
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Javier E. Cañada-García
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Elena García-Bodas
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Asunción Díaz
- HIV Surveillance and Behavioral Monitoring Unit, Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Michael M. Thomson
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain
- *Correspondence: Michael M. Thomson, ; Horacio Gil,
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Shiino T, Hachiya A, Hattori J, Sugiura W, Yoshimura K. Nation-Wide Viral Sequence Analysis of HIV-1 Subtype B Epidemic in 2003–2012 Revealed a Contribution of Men Who Have Sex With Men to the Transmission Cluster Formation and Growth in Japan. FRONTIERS IN REPRODUCTIVE HEALTH 2020; 2:531212. [PMID: 36304701 PMCID: PMC9580810 DOI: 10.3389/frph.2020.531212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 11/10/2020] [Indexed: 01/29/2023] Open
Abstract
Background: To better understand the epidemiology of human immunodeficiency virus type 1 (HIV-1) subtype B transmission in Japan, phylodynamic analysis of viral pol sequences was conducted on individuals newly diagnosed as HIV-1 seropositive. Methodology: A total of 5,018 patients newly diagnosed with HIV-1 infection and registered in the Japanese Drug Resistance HIV Surveillance Network from 2003 to 2012 were enrolled in the analysis. Using the protease-reverse transcriptase nucleotide sequences, their subtypes were determined, and phylogenetic relationships among subtype B sequences were inferred using three different methods: distance-matrix, maximum likelihood, and Bayesian Markov chain Monte Carlo. Domestically spread transmission clusters (dTCs) were identified based on the following criteria: >95% in interior branch test, >95% in Bayesian posterior probability and <10% in depth-first searches for sub-tree partitions. The association between dTC affiliation and individuals' demographics was analyzed using univariate and multivariate analyses. Results: Among the cases enrolled in the analysis, 4,398 (87.6%) were classified as subtype B. Many of them were Japanese men who had sex with men (MSM), and 3,708 (84.3%) belonged to any of 312 dTCs. Among these dTCs, 243 (77.9%) were small clusters with <10 individuals, and the largest cluster consisted of 256 individuals. Most dTCs had median time of the most recent common ancestor between 1995 and 2005, suggesting that subtype B infection was spread among MSMs in the second half of the 1990s. Interestingly, many dTCs occurred within geographical regions. Comparing with singleton cases, TCs included more MSM, young person, and individuals with high CD4+ T-cell count at the first consultation. Furthermore, dTC size was significantly correlated with gender, age, transmission risks, recent diagnosis and relative population size of the region mainly distributed. Conclusions: Our study clarified that major key population of HIV-1 subtype B epidemic in Japan is local MSM groups. The study suggests that HIV-1 subtype B spread via episodic introductions into the local MSM groups, some of the viruses spread to multiple regions. Many cases in dTC were diagnosed during the early phase of infection, suggesting their awareness to HIV risks.
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Affiliation(s)
- Teiichiro Shiino
- Surveillance and Information Division, Infectious Disease Surveillance Center, National Institute of Infectious Diseases, Tokyo, Japan
- *Correspondence: Teiichiro Shiino
| | - Atsuko Hachiya
- Division of Biological Information Analysis, Department of Clinical Research Management, Crinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Japan
| | - Junko Hattori
- Division of Biological Information Analysis, Department of Clinical Research Management, Crinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Japan
| | - Wataru Sugiura
- Division of Biological Information Analysis, Department of Clinical Research Management, Crinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Japan
- AIDS Research Center, National Institute of Infectious Diseases, Tokyo, Japan
| | - Kazuhisa Yoshimura
- AIDS Research Center, National Institute of Infectious Diseases, Tokyo, Japan
- Research Institute Director, Tokyo Metropolitan Institute of Public Health, Tokyo, Japan
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4
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Evaluation of HIV Transmission Clusters among Natives and Foreigners Living in Italy. Viruses 2020; 12:v12080791. [PMID: 32718024 PMCID: PMC7472346 DOI: 10.3390/v12080791] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 07/06/2020] [Accepted: 07/08/2020] [Indexed: 02/06/2023] Open
Abstract
We aimed at evaluating the characteristics of HIV-1 molecular transmission clusters (MTCs) among natives and migrants living in Italy, diagnosed between 1998 and 2018. Phylogenetic analyses were performed on HIV-1 polymerase (pol) sequences to characterise subtypes and identify MTCs, divided into small (SMTCs, 2–3 sequences), medium (MMTCs, 4–9 sequences) and large (LMTCs, ≥10 sequences). Among 3499 drug-naïve individuals enrolled in the Italian Cohort Naive Antiretroviral (ICONA) cohort (2804 natives; 695 migrants), 726 (20.8%; 644 natives, 82 migrants) were involved in 228 MTCs (6 LMTCs, 36 MMTCs, 186 SMTCs). Migrants contributed 14.4% to SMTCs, 7.6% to MMTCs and 7.1% to LMTCs, respectively. HIV-1 non-B subtypes were found in 51 MTCs; noteworthy was that non-B infections involved in MTCs were more commonly found in natives (n = 47) than in migrants (n = 4). Factors such as Italian origin, being men who have sex with men (MSM), younger age, more recent diagnosis and a higher CD4 count were significantly associated with MTCs. Our findings show that HIV-1 clustering transmission among newly diagnosed individuals living in Italy is prevalently driven by natives, mainly MSM, with a more recent diagnosis and frequently infected with HIV-1 non-B subtypes. These results can contribute to monitoring of the HIV epidemic and guiding the public health response to prevent new HIV infections.
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5
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D. Moro AL, Rigatto MH. Epidemiology of transmitted drug resistance mutations in an HIV-1 subtype C high-prevalence setting and impact on 1-year virological failure. J Glob Antimicrob Resist 2020; 20:33-35. [DOI: 10.1016/j.jgar.2019.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 09/05/2019] [Accepted: 11/06/2019] [Indexed: 12/01/2022] Open
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6
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Vasylyeva TI, du Plessis L, Pineda-Peña AC, Kühnert D, Lemey P, Vandamme AM, Gomes P, Camacho RJ, Pybus OG, Abecasis AB, Faria NR. Tracing the Impact of Public Health Interventions on HIV-1 Transmission in Portugal Using Molecular Epidemiology. J Infect Dis 2020; 220:233-243. [PMID: 30805610 PMCID: PMC6581889 DOI: 10.1093/infdis/jiz085] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 02/21/2019] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Estimation of temporal changes in human immunodeficiency virus (HIV) transmission patterns can help to elucidate the impact of preventive strategies and public health policies. METHODS Portuguese HIV-1 subtype B and G pol genetic sequences were appended to global reference data sets to identify country-specific transmission clades. Bayesian birth-death models were used to estimate subtype-specific effective reproductive numbers (Re). Discrete trait analysis (DTA) was used to quantify mixing among transmission groups. RESULTS We identified 5 subtype B Portuguese clades (26-79 sequences) and a large monophyletic subtype G Portuguese clade (236 sequences). We estimated that major shifts in HIV-1 transmission occurred around 1999 (95% Bayesian credible interval [BCI], 1998-2000) and 2000 (95% BCI, 1998-2001) for subtypes B and G, respectively. For subtype B, Re dropped from 1.91 (95% BCI, 1.73-2.09) to 0.62 (95% BCI,.52-.72). For subtype G, Re decreased from 1.49 (95% BCI, 1.39-1.59) to 0.72 (95% BCI, .63-.8). The DTA suggests that people who inject drugs (PWID) and heterosexuals were the source of most (>80%) virus lineage transitions for subtypes G and B, respectively. CONCLUSIONS The estimated declines in Re coincide with the introduction of highly active antiretroviral therapy and the scale-up of harm reduction for PWID. Inferred transmission events across transmission groups emphasize the importance of prevention efforts for bridging populations.
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Affiliation(s)
- Tetyana I Vasylyeva
- Department of Zoology, University of Oxford, United Kingdom.,New College, University of Oxford, United Kingdom
| | | | - Andrea C Pineda-Peña
- Center for Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa.,Molecular Biology and Immunology Department, Fundación Instituto de Inmunología de Colombia.,Basic Sciences Department, Universidad del Rosario, Bogotá, Colombia
| | - Denise Kühnert
- Max Planck Institute for the Science of Human History, Jena, Germany
| | - Philippe Lemey
- Laboratory for Clinical and Epidemiological Virology, Department of Microbiology and Immunology, Rega Institute for Medical Research, KU Leuven, Belgium
| | - Anne-Mieke Vandamme
- Center for Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa.,Laboratory for Clinical and Epidemiological Virology, Department of Microbiology and Immunology, Rega Institute for Medical Research, KU Leuven, Belgium
| | - Perpétua Gomes
- Laboratory of Molecular Biology, LMCBM, SPC, Hospital de Egas Moniz-Centro Hospitalar de Lisboa Ocidental, Lisbon.,Center for Interdisciplinary Research Egas Moniz, CiiEM, Almada, Portugal
| | - Ricardo J Camacho
- Laboratory for Clinical and Epidemiological Virology, Department of Microbiology and Immunology, Rega Institute for Medical Research, KU Leuven, Belgium
| | - Oliver G Pybus
- Department of Zoology, University of Oxford, United Kingdom
| | - Ana B Abecasis
- Center for Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa
| | - Nuno R Faria
- Department of Zoology, University of Oxford, United Kingdom
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7
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Patiño-Galindo JÁ, Domínguez F, Cuevas MT, Delgado E, Sánchez M, Pérez-Álvarez L, Thomson MM, Sanjuán R, González-Candelas F, Cuevas JM. Genome-scale analysis of evolutionary rate and selection in a fast-expanding Spanish cluster of HIV-1 subtype F1. INFECTION GENETICS AND EVOLUTION 2018; 66:43-47. [PMID: 30219320 DOI: 10.1016/j.meegid.2018.09.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 09/06/2018] [Accepted: 09/12/2018] [Indexed: 12/15/2022]
Abstract
This work is aimed at assessing the presence of positive selection and/or shifts of the evolutionary rate in a fast-expanding HIV-1 subtype F1 transmission cluster affecting men who have sex with men in Spain. We applied Bayesian coalescent phylogenetics and selection analyses to 23 full-coding region sequences from patients belonging to that cluster, along with other 19 F1 epidemiologically-unrelated sequences. A shift in the overall evolutionary rate of the virus, explained by positively selected sites in the cluster, was detected. We also found one substitution in Nef (H89F) that was specific to the cluster and experienced positive selection. These results suggest that fast transmission could have been facilitated by some inherent genetic properties of this HIV-1 variant.
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Affiliation(s)
- Juan Á Patiño-Galindo
- Joint Research Unit "Infection and Public Health" FISABIO-Universitat de València, València, Spain; CIBER in Epidemiology and Public Health, Madrid, Spain
| | - Francisco Domínguez
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain
| | - María T Cuevas
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain
| | - Elena Delgado
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain
| | - Mónica Sánchez
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain
| | - Lucía Pérez-Álvarez
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain
| | - Michael M Thomson
- HIV Biology and Variability Unit, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain
| | - Rafael Sanjuán
- Institute for Integrative Systems Biology (I2SysBio), Universitat de València, València, Spain.; Department of Genetics, Universitat de València, València, Spain
| | - Fernando González-Candelas
- Joint Research Unit "Infection and Public Health" FISABIO-Universitat de València, València, Spain; CIBER in Epidemiology and Public Health, Madrid, Spain; Institute for Integrative Systems Biology (I2SysBio), Universitat de València, València, Spain.; Department of Genetics, Universitat de València, València, Spain
| | - José M Cuevas
- Institute for Integrative Systems Biology (I2SysBio), Universitat de València, València, Spain.; Department of Genetics, Universitat de València, València, Spain.
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8
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Fabeni L, Alteri C, Di Carlo D, Orchi N, Carioti L, Bertoli A, Gori C, Forbici F, Continenza F, Maffongelli G, Pinnetti C, Vergori A, Mondi A, Ammassari A, Borghi V, Giuliani M, De Carli G, Pittalis S, Grisetti S, Pennica A, Mastroianni CM, Montella F, Cristaudo A, Mussini C, Girardi E, Andreoni M, Antinori A, Ceccherini-Silberstein F, Perno CF, Santoro MM. Dynamics and phylogenetic relationships of HIV-1 transmitted drug resistance according to subtype in Italy over the years 2000-14. J Antimicrob Chemother 2018; 72:2837-2845. [PMID: 29091206 DOI: 10.1093/jac/dkx231] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 06/09/2017] [Indexed: 11/14/2022] Open
Abstract
Background Transmitted drug-resistance (TDR) remains a critical aspect for the management of HIV-1-infected individuals. Thus, studying the dynamics of TDR is crucial to optimize HIV care. Methods In total, 4323 HIV-1 protease/reverse-transcriptase sequences from drug-naive individuals diagnosed in north and central Italy between 2000 and 2014 were analysed. TDR was evaluated over time. Maximum-likelihood and Bayesian phylogenetic trees with bootstrap and Bayesian-probability supports defined transmission clusters. Results Most individuals were males (80.2%) and Italian (72.1%), with a median (IQR) age of 37 (30-45) years. MSM accounted for 42.2% of cases, followed by heterosexuals (36.4%). Non-B subtype infections accounted for 30.8% of the overall population and increased over time (<2005-14: 19.5%-38.5%, P < 0.0001), particularly among Italians (<2005-14: 6.5%-28.8%, P < 0.0001). TDR prevalence was 8.8% and increased over time in non-B subtypes (<2005-14: 2%-7.1%, P = 0.018). Overall, 467 transmission clusters (involving 1207 individuals; 27.9%) were identified. The prevalence of individuals grouping in transmission clusters increased over time in both B (<2005-14: 12.9%-33.5%, P = 0.001) and non-B subtypes (<2005-14: 18.4%-41.9%, P = 0.006). TDR transmission clusters were 13.3% within the overall cluster observed and dramatically increased in recent years (<2005-14: 14.3%-35.5%, P = 0.005). This recent increase was mainly due to non-B subtype-infected individuals, who were also more frequently involved in large transmission clusters than those infected with a B subtype [median number of individuals in transmission clusters: 7 (IQR 6-19) versus 4 (3-4), P = 0.047]. Conclusions The epidemiology of HIV transmission changed greatly over time; the increasing number of transmission clusters (sometimes with drug resistance) shows that detection and proper treatment of the multi-transmitters is a major target for controlling HIV spread.
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Affiliation(s)
- L Fabeni
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | - C Alteri
- University of Rome Tor Vergata, Rome, Italy
| | - D Di Carlo
- University of Rome Tor Vergata, Rome, Italy
| | - N Orchi
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | - L Carioti
- University of Rome Tor Vergata, Rome, Italy
| | - A Bertoli
- University of Rome Tor Vergata, Rome, Italy
| | - C Gori
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | - F Forbici
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | - F Continenza
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | | | - C Pinnetti
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | - A Vergori
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | - A Mondi
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | - A Ammassari
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | - V Borghi
- Modena University Hospital, Modena, Italy
| | - M Giuliani
- San Gallicano Dermatological Institute, IRCCS, Rome, Italy
| | - G De Carli
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | - S Pittalis
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | - S Grisetti
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | | | | | - F Montella
- S. Giovanni Addolorata Hospital, Rome, Italy
| | - A Cristaudo
- San Gallicano Dermatological Institute, IRCCS, Rome, Italy
| | - C Mussini
- Modena University Hospital, Modena, Italy
| | - E Girardi
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | - M Andreoni
- University Hospital Tor Vergata, Rome, Italy
| | - A Antinori
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
| | | | - C F Perno
- National Institute for Infectious Diseases L Spallanzani, IRCCS, Rome, Italy
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9
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Patiño-Galindo JÁ, González-Candelas F. Molecular evolution methods to study HIV-1 epidemics. Future Virol 2018; 13:399-404. [PMID: 29967650 DOI: 10.2217/fvl-2017-0159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2017] [Accepted: 04/04/2018] [Indexed: 01/17/2023]
Abstract
Nucleotide sequences of HIV isolates are obtained routinely to evaluate the presence of resistance mutations to antiretroviral drugs. But, beyond their clinical use, these and other viral sequences include a wealth of information that can be used to better understand and characterize the epidemiology of HIV in relevant populations. In this review, we provide a brief overview of the main methods used to analyze HIV sequences, the data bases where reference sequences can be obtained, and some caveats about the possible applications for public health of these analyses, along with some considerations about their limitations and correct usage to derive robust and reliable conclusions.
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Affiliation(s)
- Juan Á Patiño-Galindo
- Department of Systems Biology, Columbia University, New York, NY 10032, USA.,Department of Systems Biology, Columbia University, New York, NY 10032, USA
| | - Fernando González-Candelas
- Joint Research Unit "Infección y Salud Pública" FISABIO-Salud Pública/Universitat de València-Institute for Integrative Systems Biology (ISysBio, CSIC-UV) Valencia, Spain.,CIBER in Epidemiology & Public Health, Valencia, Spain.,Joint Research Unit "Infección y Salud Pública" FISABIO-Salud Pública/Universitat de València-Institute for Integrative Systems Biology (ISysBio, CSIC-UV) Valencia, Spain.,CIBER in Epidemiology & Public Health, Valencia, Spain
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Patiño-Galindo JÁ, Torres-Puente M, Bracho MA, Alastrué I, Juan A, Navarro D, Galindo MJ, Ocete D, Ortega E, Gimeno C, Belda J, Domínguez V, Moreno R, González-Candelas F. The molecular epidemiology of HIV-1 in the Comunidad Valenciana (Spain): analysis of transmission clusters. Sci Rep 2017; 7:11584. [PMID: 28912478 PMCID: PMC5599654 DOI: 10.1038/s41598-017-10286-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Accepted: 08/07/2017] [Indexed: 11/09/2022] Open
Abstract
HIV infections are still a very serious concern for public heath worldwide. We have applied molecular evolution methods to study the HIV-1 epidemics in the Comunidad Valenciana (CV, Spain) from a public health surveillance perspective. For this, we analysed 1804 HIV-1 sequences comprising protease and reverse transcriptase (PR/RT) coding regions, sampled between 2004 and 2014. These sequences were subtyped and subjected to phylogenetic analyses in order to detect transmission clusters. In addition, univariate and multinomial comparisons were performed to detect epidemiological differences between HIV-1 subtypes, and risk groups. The HIV epidemic in the CV is dominated by subtype B infections among local men who have sex with men (MSM). 270 transmission clusters were identified (>57% of the dataset), 12 of which included ≥10 patients; 11 of subtype B (9 affecting MSMs) and one (n = 21) of CRF14, affecting predominately intravenous drug users (IDUs). Dated phylogenies revealed these large clusters to have originated from the mid-80s to the early 00 s. Subtype B is more likely to form transmission clusters than non-B variants and MSMs to cluster than other risk groups. Multinomial analyses revealed an association between non-B variants, which are not established in the local population yet, and different foreign groups.
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Affiliation(s)
- Juan Ángel Patiño-Galindo
- Unidad Mixta Infección y Salud Pública FISABIO-CSISP/Universidad de Valencia-I2SysBio, Valencia, 46180, Spain.,CIBER of Epidemiology and Public Health, Instituto de Salud Carlos III, Madrid, 28029, Spain
| | - Manoli Torres-Puente
- Unidad Mixta Infección y Salud Pública FISABIO-CSISP/Universidad de Valencia-I2SysBio, Valencia, 46180, Spain
| | - María Alma Bracho
- Unidad Mixta Infección y Salud Pública FISABIO-CSISP/Universidad de Valencia-I2SysBio, Valencia, 46180, Spain.,CIBER of Epidemiology and Public Health, Instituto de Salud Carlos III, Madrid, 28029, Spain
| | | | - Amparo Juan
- Unidad Prevención del SIDA y otras ITS, Valencia, 46017, Spain
| | - David Navarro
- Hospital Clínico Universitario, Valencia, 46010, Spain.,Dpto. Microbiología, Universidad de Valencia, 46080, Valencia, Spain
| | | | - Dolores Ocete
- Consorcio Hospital General Universitario, Valencia, 46014, Spain
| | - Enrique Ortega
- Consorcio Hospital General Universitario, Valencia, 46014, Spain
| | - Concepción Gimeno
- Dpto. Microbiología, Universidad de Valencia, 46080, Valencia, Spain.,Consorcio Hospital General Universitario, Valencia, 46014, Spain
| | - Josefina Belda
- Unidad Prevención del SIDA y otras ITS, Alicante, 03010, Spain
| | | | | | - Fernando González-Candelas
- Unidad Mixta Infección y Salud Pública FISABIO-CSISP/Universidad de Valencia-I2SysBio, Valencia, 46180, Spain. .,CIBER of Epidemiology and Public Health, Instituto de Salud Carlos III, Madrid, 28029, Spain.
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