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Weaver S, Dávila-Conn V, Ji D, Verdonk H, Ávila-Ríos S, Leigh Brown AJ, Wertheim JO, Kosakovsky Pond SL. AUTO-TUNE: SELECTING THE DISTANCE THRESHOLD FOR INFERRING HIV TRANSMISSION CLUSTERS. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.11.584522. [PMID: 38559140 PMCID: PMC10979987 DOI: 10.1101/2024.03.11.584522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Molecular surveillance of viral pathogens and inference of transmission networks from genomic data play an increasingly important role in public health efforts, especially for HIV-1. For many methods, the genetic distance threshold used to connect sequences in the transmission network is a key parameter informing the properties of inferred networks. Using a distance threshold that is too high can result in a network with many spurious links, making it difficult to interpret. Conversely, a distance threshold that is too low can result in a network with too few links, which may not capture key insights into clusters of public health concern. Published research using the HIV-TRACE software package frequently uses the default threshold of 0.015 substitutions/site for HIV pol gene sequences, but in many cases, investigators heuristically select other threshold parameters to better capture the underlying dynamics of the epidemic they are studying. Here, we present a general heuristic scoring approach for tuning a distance threshold adaptively, which seeks to prevent the formation of giant clusters. We prioritize the ratio of the sizes of the largest and the second largest cluster, maximizing the number of clusters present in the network. We apply our scoring heuristic to outbreaks with different characteristics, such as regional or temporal variability, and demonstrate the utility of using the scoring mechanism's suggested distance threshold to identify clusters exhibiting risk factors that would have otherwise been more difficult to identify. For example, while we found that a 0.015 substitutions/site distance threshold is typical for US-like epidemics, recent outbreaks like the CRF07_BC subtype among men who have sex with men (MSM) in China have been found to have a lower optimal threshold of 0.005 to better capture the transition from injected drug use (IDU) to MSM as the primary risk factor. Alternatively, in communities surrounding Lake Victoria in Uganda, where there has been sustained hetero-sexual transmission for many years, we found that a larger distance threshold is necessary to capture a more risk factor-diverse population with sparse sampling over a longer period of time. Such identification may allow for more informed intervention action by respective public health officials.
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Affiliation(s)
- Steven Weaver
- Center for Viral Evolution, Temple University, Philadelphia, PA, USA
| | - Vanessa Dávila-Conn
- Center for Research in Infectious Diseases, National Institute of Respiratory Diseases, Mexico City, Mexico
| | - Daniel Ji
- Department of Computer Science & Engineering, UC San Diego, La Jolla, CA 92093, USA
| | - Hannah Verdonk
- Center for Viral Evolution, Temple University, Philadelphia, PA, USA
| | - Santiago Ávila-Ríos
- Center for Research in Infectious Diseases, National Institute of Respiratory Diseases, Mexico City, Mexico
| | - Andrew J Leigh Brown
- School of Biological Sciences, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Joel O Wertheim
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
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Shook AG, Buskin SE, Golden M, Dombrowski JC, Herbeck J, Lechtenberg RJ, Kerani R. Community and Provider Perspectives on Molecular HIV Surveillance and Cluster Detection and Response for HIV Prevention: Qualitative Findings From King County, Washington. J Assoc Nurses AIDS Care 2022; 33:270-282. [PMID: 35500058 PMCID: PMC9062191 DOI: 10.1097/jnc.0000000000000308] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
ABSTRACT Responding quickly to HIV outbreaks is one of four pillars of the U.S. Ending the HIV Epidemic (EHE) initiative. Inclusion of cluster detection and response in the fourth pillar of EHE has led to public discussion concerning bioethical implications of cluster detection and response and molecular HIV surveillance (MHS) among public health authorities, researchers, and community members. This study reports on findings from a qualitative analysis of interviews with community members and providers regarding their knowledge and perspectives of MHS. We identified five key themes: (a) context matters, (b) making sense of MHS, (c) messaging, equity, and resource prioritization, (d) operationalizing confidentiality, and (e) stigma, vulnerability, and power. Inclusion of community perspectives in generating innovative approaches that address bioethical concerns related to the use of MHS data is integral to ensure that widely accessible information about the use of these data is available to a diversity of community members and providers.
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Affiliation(s)
- Alic G. Shook
- College of Nursing, Seattle University Seattle, Washington, USA
| | - Susan E. Buskin
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Epidemiologist, Public Health – Seattle & King County, Seattle, Washington, USA
| | - Matthew Golden
- Public Health – Seattle King County HIV/STD Program
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Julia C. Dombrowski
- Public Health-Seattle & King County HIV/STD Program
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Joshua Herbeck
- Department of Global Health, University of Washington, Seattle, Washington, USA
| | | | - Roxanne Kerani
- Department of Medicine, University of Washington, Seattle, Washington, USA
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CRF07_BC is associated with slow HIV disease progression in Chinese patients. Sci Rep 2022; 12:3773. [PMID: 35260599 PMCID: PMC8904811 DOI: 10.1038/s41598-022-07518-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 02/21/2022] [Indexed: 11/09/2022] Open
Abstract
HIV subtypes convey important epidemiological information and possibly influence the rate of disease progression. In this study, HIV disease progression in patients infected with CRF01_AE, CRF07_BC, and subtype B was compared in the largest HIV molecular epidemiology study ever done in China. A national data set of HIV pol sequences was assembled by pooling sequences from public databases and the Beijing HIV laboratory network. Logistic regression was used to assess factors associated with the risk of AIDS at diagnosis ([AIDSAD], defined as a CD4 count < 200 cells/µL) in patients with HIV subtype B, CRF01_AE, and CRF07_BC. Of the 20,663 sequences, 9,156 (44.3%) were CRF01_AE. CRF07_BC was responsible for 28.3% of infections, followed by B (13.9%). In multivariable analysis, the risk of AIDSAD differed significantly according to HIV subtype (OR for CRF07_BC vs. B: 0.46, 95% CI 0.39─0.53), age (OR for ≥ 65 years vs. < 18 years: 4.3 95% CI 1.81─11.8), and transmission risk groups (OR for men who have sex with men vs. heterosexuals: 0.67 95% CI 0.6─0.75). These findings suggest that HIV diversity in China is constantly evolving and gaining in complexity. CRF07_BC is less pathogenic than subtype B, while CRF01_AE is as pathogenic as B.
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Transmitted HIV-1 is more virulent in heterosexual individuals than men-who-have-sex-with-men. PLoS Pathog 2022; 18:e1010319. [PMID: 35271687 PMCID: PMC8912199 DOI: 10.1371/journal.ppat.1010319] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 01/27/2022] [Indexed: 12/29/2022] Open
Abstract
Transmission bottlenecks introduce selection pressures on HIV-1 that vary with the mode of transmission. Recent studies on small cohorts have suggested that stronger selection pressures lead to fitter transmitted/founder (T/F) strains. Manifestations of this selection bias at the population level have remained elusive. Here, we analysed early CD4 cell count measurements reported from ∼340,000 infected heterosexual individuals (HET) and men-who-have-sex-with-men (MSM), across geographies, ethnicities and calendar years. The reduction in CD4 counts early in infection is reflective of the virulence of T/F strains. MSM and HET use predominant modes of transmission, namely, anal and penile-vaginal, with among the largest differences in the selection pressures at transmission across modes. Further, in most geographies, the groups show little inter-mixing, allowing for the differential selection bias to be sustained and amplified. We found that the early reduction in CD4 counts was consistently greater in HET than MSM (P<0.05). To account for inherent variations in baseline CD4 counts, we constructed a metric to quantify the extent of progression to AIDS as the ratio of the reduction in measured CD4 counts from baseline and the reduction associated with AIDS. We found that this progression corresponding to the early CD4 measurements was ∼68% for MSM and ∼87% for HET on average (P<10−4; Cohen’s d, ds = 0.36), reflecting the more severe disease caused by T/F strains in HET than MSM at the population level. Interestingly, the set-point viral load was not different between the groups (ds<0.12), suggesting that MSM were more tolerant and not more resistant to their T/F strains than HET. This difference remained when we controlled for confounding factors using multivariable regression. We concluded that the different selection pressures at transmission have resulted in more virulent T/F strains in HET than MSM. These findings have implications for our understanding of HIV-1 pathogenesis, evolution, and epidemiology. HIV-1 encounters a key bottleneck at the time of its transmission from one individual to another. This transmission bottleneck can differ between modes of transmission. The stronger this bottleneck is, the more fit the virus has to be to be successfully transmitted. Accordingly, the transmitted/founder (T/F) strains of HIV-1 may have different fitness in risk groups that use different modes of transmission. While studies on small cohorts do support this notion, observations of the manifestations of this differential selection bias at the population level have been lacking. Here, we examined reported early CD4 count measurements from ∼340,000 HET and MSM, across geographies, ethnicities, and calendar years. Early CD4 counts are a measure of the severity of the infection due to T/F strains. HET and MSM transmit predominantly via penile-vaginal and anal modes, respectively, and do not inter-mix significantly. Remarkably, we found that HET consistently had lower early CD4 counts than MSM. This difference could not be attributed to potential confounding factors, such as set-point viral load. The difference thus provided evidence that T/F strains had evolved to be more virulent in HET than MSM at the population level. Intervention strategies may benefit from accounting for this difference between risk groups.
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Stecher M, Chaillon A, Stephan C, Knops E, Kohmer N, Lehmann C, Eberle J, Bogner J, Spinner CD, Eis-Hübinger AM, Wasmuth JC, Schäfer G, Behrens G, Mehta SR, Vehreschild JJ, Hoenigl M. Drug Resistance Spread in 6 Metropolitan Regions, Germany, 2001-2018 1. Emerg Infect Dis 2021; 26:2439-2443. [PMID: 32946725 PMCID: PMC7510719 DOI: 10.3201/eid2610.191506] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
We analyzed 1,397 HIV-1 pol sequences of antiretroviral therapy–naive patients in a total of 7 university hospitals in Bonn, Cologne, Frankfurt, Hamburg, Hannover, and Munich, Germany. Phylogenetic and network analysis elucidated numerous cases of shared drug resistance mutations among genetically linked patients; K103N was the most frequently shared mutation.
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6
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Zhao B, Song W, An M, Dong X, Li X, Wang L, Liu J, Tian W, Wang Z, Ding H, Han X, Shang H. Priority Intervention Targets Identified Using an In-Depth Sampling HIV Molecular Network in a Non-Subtype B Epidemics Area. Front Cell Infect Microbiol 2021; 11:642903. [PMID: 33854982 PMCID: PMC8039375 DOI: 10.3389/fcimb.2021.642903] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 03/08/2021] [Indexed: 01/31/2023] Open
Abstract
Molecular network analysis based on the genetic similarity of HIV-1 is increasingly used to guide targeted interventions. Nevertheless, there is a lack of experience regarding molecular network inferences and targeted interventions in combination with epidemiological information in areas with diverse epidemic strains of HIV-1.We collected 2,173 pol sequences covering 84% of the total newly diagnosed HIV-1 infections in Shenyang city, Northeast China, between 2016 and 2018. Molecular networks were constructed using the optimized genetic distance threshold for main subtypes obtained using sensitivity analysis of plausible threshold ranges. The transmission rates (TR) of each large cluster were assessed using Bayesian analyses. Molecular clusters with the characteristics of ≥5 newly diagnosed cases in 2018, high TR, injection drug users (IDUs), and transmitted drug resistance (TDR) were defined as priority clusters. Several HIV-1 subtypes were identified, with a predominance of CRF01_AE (71.0%, 1,542/2,173), followed by CRF07_BC (18.1%, 393/2,173), subtype B (4.5%, 97/2,173), other subtypes (2.6%, 56/2,173), and unique recombinant forms (3.9%, 85/2,173). The overall optimal genetic distance thresholds for CRF01_AE and CRF07_BC were both 0.007 subs/site. For subtype B, it was 0.013 subs/site. 861 (42.4%) sequences of the top three subtypes formed 239 clusters (size: 2-77 sequences), including eight large clusters (size ≥10 sequences). All the eight large clusters had higher TR (median TR = 52.4/100 person-years) than that of the general HIV infections in Shenyang (10.9/100 person-years). A total of ten clusters including 231 individuals were determined as priority clusters for targeted intervention, including eight large clusters (five clusters with≥5 newly diagnosed cases in 2018, one cluster with IDUs, and two clusters with TDR (K103N, Q58E/V179D), one cluster with≥5 newly diagnosed cases in 2018, and one IDUs cluster. In conclusion, a comprehensive analysis combining in-depth sampling HIV-1 molecular networks construction using subtype-specific optimal genetic distance thresholds, and baseline epidemiological information can help to identify the targets of priority intervention in an area epidemic for non-subtype B.
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Affiliation(s)
- Bin Zhao
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Wei Song
- Department of Food Safety and Nutrition, Shenyang Center for Health Service and Administrative Law Enforcement (Shenyang Center for Disease Control and Prevention), Shenyang, China
| | - Minghui An
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Xue Dong
- Department of Food Safety and Nutrition, Shenyang Center for Health Service and Administrative Law Enforcement (Shenyang Center for Disease Control and Prevention), Shenyang, China
| | - Xin Li
- Department of Food Safety and Nutrition, Shenyang Center for Health Service and Administrative Law Enforcement (Shenyang Center for Disease Control and Prevention), Shenyang, China
| | - Lu Wang
- Department of Food Safety and Nutrition, Shenyang Center for Health Service and Administrative Law Enforcement (Shenyang Center for Disease Control and Prevention), Shenyang, China
| | - Jianmin Liu
- Department of Food Safety and Nutrition, Shenyang Center for Health Service and Administrative Law Enforcement (Shenyang Center for Disease Control and Prevention), Shenyang, China
| | - Wen Tian
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Zhen Wang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Haibo Ding
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Xiaoxu Han
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Hong Shang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Laboratory Medicine Innovation Unit, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
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7
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Jean Louis F, Domercant JW, Ignacio C, Gianella S, Galbaud G, Leonard M, Smith DM, Chaillon A. High Prevalence of HIV-1 Drug Resistance and Dynamics of Transmission Among High-Risk Populations in Port-au-Prince, Haiti. J Acquir Immune Defic Syndr 2020; 85:416-422. [PMID: 33136738 PMCID: PMC7592887 DOI: 10.1097/qai.0000000000002475] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 08/05/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND In low HIV prevalence settings, understanding the transmission dynamics and the impact of drug resistance is critical to curb down the epidemic. This study aims to explore the prevalence and dynamics of transmission of HIV drug-resistance mutations (DRMs) among key populations in Haiti. SETTINGS Eligible participants (naive, treated) were selected from 7 key population friendly health care centers in Port-au-Prince, Haiti, from September 2018 to July 2019. METHODS A total of 119 HIV-1 pol sequences were analyzed from men having sex with men (MSM), female sex workers (FSWs), and their sexual partners. Screening for HIV DRMs was performed using the Stanford University Drug Resistance Database. Phylogenetic and network analyses using HIV-TRACE software were performed to infer putative relationships and shared DRMs. RESULTS Of the 119 participants, 62.2% were men (74/119), and 75.7% of them (56/74) reported MSM as a main risk factor. The overall DRM prevalence was 58.8% (70/119). A DRM was observed in 37.5% of MSM (21/56), 82.2% of FSWs (37/45), and 66.7% (12/18) among FSWs' clients. In a multivariate model, age and FSWs were significant predictors for DRMs (P = 0.001). Transmission network analysis found 24 of the 119 (20.2%) genetically linked individuals forming 8 clusters. Clustering participants were mostly MSM (15/24; 62.5%). Five clusters (62.5%) had shared DRMs, and K103N and M184V were the main shared mutations. CONCLUSIONS High prevalence of HIV DRMs was observed among MSM, FSWs, and their clients in Port-au-Prince, Haiti. Network analysis revealed frequent DRM transmission among genetically linked individuals, highlighting the need for appropriate interventions to limit HIV transmission in these high-risk populations.
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Affiliation(s)
| | | | - Caroline Ignacio
- Division of Infectious Diseases, University of California San Diego, San Diego, CA
| | - Sara Gianella
- Division of Infectious Diseases, University of California San Diego, San Diego, CA
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8
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Liu M, Han X, Zhao B, An M, He W, Wang Z, Qiu Y, Ding H, Shang H. Dynamics of HIV-1 Molecular Networks Reveal Effective Control of Large Transmission Clusters in an Area Affected by an Epidemic of Multiple HIV Subtypes. Front Microbiol 2020; 11:604993. [PMID: 33281803 PMCID: PMC7691493 DOI: 10.3389/fmicb.2020.604993] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 10/27/2020] [Indexed: 01/20/2023] Open
Abstract
This study reconstructed molecular networks of human immunodeficiency virus (HIV) transmission history in an area affected by an epidemic of multiple HIV-1 subtypes and assessed the efficacy of strengthened early antiretroviral therapy (ART) and regular interventions in preventing HIV spread. We collected demographic and clinical data of 2221 treatment-naïve HIV-1–infected patients in a long-term cohort in Shenyang, Northeast China, between 2008 and 2016. HIV pol gene sequencing was performed and molecular networks of CRF01_AE, CRF07_BC, and subtype B were inferred using HIV-TRACE with separate optimized genetic distance threshold. We identified 168 clusters containing ≥ 2 cases among CRF01_AE-, CRF07_BC-, and subtype B-infected cases, including 13 large clusters (≥ 10 cases). Individuals in large clusters were characterized by younger age, homosexual behavior, more recent infection, higher CD4 counts, and delayed/no ART (P < 0.001). The dynamics of large clusters were estimated by proportional detection rate (PDR), cluster growth predictor, and effective reproductive number (Re). Most large clusters showed decreased or stable during the study period, indicating that expansion was slowing. The proportion of newly diagnosed cases in large clusters declined from 30 to 8% between 2008 and 2016, coinciding with an increase in early ART within 6 months after diagnosis from 24 to 79%, supporting the effectiveness of strengthened early ART and continuous regular interventions. In conclusion, molecular network analyses can thus be useful for evaluating the efficacy of interventions in epidemics with a complex HIV profile.
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Affiliation(s)
- Mingchen Liu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Units of Medical Laboratory, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Xiaoxu Han
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Units of Medical Laboratory, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Bin Zhao
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Units of Medical Laboratory, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Minghui An
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Units of Medical Laboratory, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Wei He
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Units of Medical Laboratory, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Zhen Wang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Units of Medical Laboratory, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Yu Qiu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Units of Medical Laboratory, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Haibo Ding
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Units of Medical Laboratory, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Hong Shang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.,Units of Medical Laboratory, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China.,Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
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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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10
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Hoenigl M, Hassan A, Moore DJ, Anderson PL, Corado K, Dubé MP, Ellorin EE, Blumenthal J, Morris SR. Predictors of Long-Term HIV Pre-exposure Prophylaxis Adherence After Study Participation in Men Who Have Sex With Men. J Acquir Immune Defic Syndr 2019; 81:166-174. [PMID: 30865175 PMCID: PMC6522282 DOI: 10.1097/qai.0000000000002003] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Efficacy of HIV pre-exposure prophylaxis (PrEP) among men who have sex with men is well documented in randomized trials. After trial completion, participants are challenged with acquiring PrEP on their own and remaining adherent. METHODS This was a follow-up study of the TAPIR randomized controlled multicenter PrEP trial. Participants were contacted after their last TAPIR visit (ie, after study-provided PrEP was discontinued) to attend observational posttrial visits 24 and 48 weeks later. Adherence during TAPIR and posttrial visits was estimated by dried blood spot intracellular tenofovir diphosphate levels (adequate adherence defined as tenofovir diphosphate levels >719 fmol/punch). Binary logistic regression analysis assessed predictors of completing posttrial visits and PrEP adherence among participants completing ≥1 visit. RESULTS Of 395 TAPIR participants who were on PrEP as part of the TAPIR trial for a median of 597 days (range 3-757 days), 122 (31%) completed ≥1 posttrial visit (57% of University of California San Diego participants completed posttrial visits, whereas this was 13% or lower for other study sites). Among participants who completed ≥1 posttrial visit, 57% had adequate adherence posttrial. Significant predictors of adequate adherence posttrial were less problematic substance use, higher risk behavior, and adequate adherence in year 1 of TAPIR. CONCLUSION More than half of PrEP users followed after trial completion had successfully acquired PrEP and showed adequate adherence. Additional adherence monitoring and intervention measures may be needed for those with low PrEP adherence and problematic substance use during the first year of trial.
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Affiliation(s)
- Martin Hoenigl
- University of California San Diego (UCSD), San Diego, California, United States
| | - Adiba Hassan
- University of California San Diego (UCSD), San Diego, California, United States
| | - David J. Moore
- University of California San Diego (UCSD), San Diego, California, United States
| | - Peter L. Anderson
- University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Katya Corado
- Los Angeles Biomedical Research Institute at Harbor UCLA Medical Center, Torrance, CA, USA
| | - Michael P. Dubé
- Keck School of Medicine at the University of Southern California, Los Angeles, USA
| | - Eric E. Ellorin
- University of California San Diego (UCSD), San Diego, California, United States
| | - Jill Blumenthal
- University of California San Diego (UCSD), San Diego, California, United States
| | - Sheldon R. Morris
- University of California San Diego (UCSD), San Diego, California, United States
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11
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Hoenigl M, Morgan E, Franklin D, Anderson PL, Pasipanodya E, Dawson M, Hanashiro M, Ellorin EE, Blumenthal J, Heaton R, Moore DJ, Morris SR. Self-initiated continuation of and adherence to HIV pre-exposure prophylaxis (PrEP) after PrEP demonstration project roll-off in men who have sex with men: associations with risky decision making, impulsivity/disinhibition, and sensation seeking. J Neurovirol 2019; 25:324-330. [PMID: 30617849 PMCID: PMC6612450 DOI: 10.1007/s13365-018-0716-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 12/03/2018] [Accepted: 12/17/2018] [Indexed: 12/19/2022]
Abstract
The objective of this study was to examine differences in the levels of risky decision making and other frontal system behavior constructs in relation to self-initiated continuance of HIV pre-exposure prophylaxis (PrEP) and PrEP adherence outcomes among men who have sex with men (MSM) following completion of a clinical PrEP trial. At the last PrEP trial visit, study provided PrEP was discontinued and participants were navigated to the community for PrEP continuation. In this cross-sectional analysis, 84/187 (45%) MSM who completed a prospective observational post-PrEP trial follow-up visit at the University of California San Diego were included. PrEP adherence was measured using dried blood spot tenofovir diphosphate (TFV-DP) levels. Risky decision making was assessed using the Iowa Gambling Task (IGT) and the Balloon Analogue Risk Task (BART), while impulsivity/disinhibition, sensation seeking, and substance use were assessed via standardized self-report questionnaires. A total of 58/84 (69%) of MSM who completed the 12-month post-study visit continued PrEP. Of those, n = 46 (79%) reached TFV-DP levels associated with adequate adherence. Individuals who elected to continue PrEP 12 months post-trial had riskier decision making on BART, but less impulsivity/disinhibition compared to individuals who did not continue PrEP. Neither risky decision making nor impulsivity/disinhibition/sensation seeking nor substance use correlated with PrEP adherence. Our findings suggest that those with risky decision making may have greater insight into their HIV risks, and therefore be more likely to continue to use PrEP. However, elevated impulsivity/disinhibition, indicative of greater neurobehavioral alterations, was negatively associated with PrEP continuance and is a potential target for future interventions to help people link to PrEP.
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Affiliation(s)
- Martin Hoenigl
- University of California San Diego (UCSD), San Diego, CA, USA.
- Medical University of Graz, Graz, Austria.
- Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California, San Diego, 200 W Arbor Drive, San Diego, CA, 92103, USA.
| | - Erin Morgan
- University of California San Diego (UCSD), San Diego, CA, USA
| | - Donald Franklin
- University of California San Diego (UCSD), San Diego, CA, USA
| | | | | | - Matthew Dawson
- University of California San Diego (UCSD), San Diego, CA, USA
| | | | - Eric E Ellorin
- University of California San Diego (UCSD), San Diego, CA, USA
| | - Jill Blumenthal
- University of California San Diego (UCSD), San Diego, CA, USA
| | - Robert Heaton
- University of California San Diego (UCSD), San Diego, CA, USA
| | - David J Moore
- University of California San Diego (UCSD), San Diego, CA, USA
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12
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Fabeni L, Alteri C, Berno G, Scutari R, Orchi N, De Carli G, Bertoli A, Carioti L, Gori C, Forbici F, Salpini R, Vergori A, Gagliardini R, Cicalini S, Mondi A, Pinnetti C, Mazzuti L, Turriziani O, Colafigli M, Borghi V, Montella F, Pennica A, Lichtner M, Girardi E, Andreoni M, Mussini C, Antinori A, Ceccherini-Silberstein F, Perno CF, Santoro MM. Characterisation of HIV-1 molecular transmission clusters among newly diagnosed individuals infected with non-B subtypes in Italy. Sex Transm Infect 2019; 95:619-625. [PMID: 31076456 DOI: 10.1136/sextrans-2019-054017] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 04/19/2019] [Accepted: 04/24/2019] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE We evaluated the characteristics of HIV-1 molecular transmission clusters (MTCs) in 1890 newly diagnosed individuals infected with non-B subtypes between 2005 and 2017 in Italy. METHODS Phylogenetic analyses were performed on pol sequences to characterise subtypes/circulating recombinant forms and identify MTCs. MTCs were divided into small (SMTCs, 2-3 sequences), medium (MMTCs, 4-9 sequences) and large (LMTCs, ≥10 sequences). Factors associated with MTCs were evaluated using logistic regression analysis. RESULTS 145 MTCs were identified and involved 666 individuals (35.2%); 319 of them (16.9%) were included in 13 LMTCs, 111 (5.9%) in 20 MMTCs and 236 (12.5%) in 112 SMTCs. Compared with individuals out of MTCs, individuals involved in MTCs were prevalently Italian (72.7% vs 30.9%, p<0.001), male (82.9% vs 62.3%, p<0.001) and men who have sex with men (MSM) (43.5% vs 14.5%, p<0.001). Individuals in MTCs were also younger (median (IQR) years: 41 (35-49) vs 43 (36-51), p<0.001) and had higher CD4 cell count in comparison with individuals out of MTCs (median (IQR): 109/L: 0.4 (0.265-0.587) vs 0.246 (0.082-0.417), p<0.001). The viral load remained stable between the two groups (median (IQR) log10 copies/mL: 4.8 (4.2-5.5) vs 5.0 (4.3-5.5), p=0.87). Logistic regression confirmed that certain factors such as being MSM, of Italian origin, younger age and higher CD4 cell count were significantly associated with MTCs. CONCLUSIONS Our findings show that HIV-1 newly diagnosed individuals infected with non-B subtypes are involved in several MTCs in Italy. These MTCs include mainly Italians and MSM and highlight the complex phenomenon characterising the HIV-1 spread. This is important especially in view of monitoring the HIV epidemic and guiding the public health response.
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Affiliation(s)
- Lavinia Fabeni
- Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Claudia Alteri
- Oncology and Oncohematology, University of Milan, Milan, Italy
| | - Giulia Berno
- Laboratory of Virology, INMI "Lazzaro Spallanzani"-IRCCS, Rome, Italy
| | - Rossana Scutari
- Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Nicoletta Orchi
- AIDS Reference Center, INMI "Lazzaro Spallanzani"-IRCCS, Rome, Italy
| | | | - Ada Bertoli
- Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Luca Carioti
- Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Caterina Gori
- Laboratory of Virology, INMI "Lazzaro Spallanzani"-IRCCS, Rome, Italy
| | - Federica Forbici
- Laboratory of Virology, INMI "Lazzaro Spallanzani"-IRCCS, Rome, Italy
| | - Romina Salpini
- Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | | | | | | | - Annalisa Mondi
- Clinical Department, INMI "Lazzaro Spallanzani"-IRCCS, Rome, Italy
| | - Carmela Pinnetti
- Clinical Department, INMI "Lazzaro Spallanzani"-IRCCS, Rome, Italy
| | - Laura Mazzuti
- Molecular Medicine, "Sapienza" University of Rome, Rome, Italy
| | | | | | - Vanni Borghi
- Infectious Diseases, University Hospital of Modena, Modena, Italy
| | | | | | - Miriam Lichtner
- Infectious Diseases Unit, "Sapienza" University, Polo Pontino, Latina, Italy
| | - Enrico Girardi
- Clinical Epidemiology, INMI "Lazzaro Spallanzani" IRCCS, Rome, Lazio, Italy
| | - Massimo Andreoni
- Infectious Diseases, University Hospital "Tor Vergata", Rome, Italy
| | - Cristina Mussini
- Infectious Diseases, University Hospital of Modena, Modena, Italy
| | - Andrea Antinori
- Clinical Department, INMI "Lazzaro Spallanzani"-IRCCS, Rome, Italy
| | | | - Carlo Federico Perno
- Oncology and Oncohematology, University of Milan, Milan, Italy.,Laboratory of Virology, INMI "Lazzaro Spallanzani"-IRCCS, Rome, Italy
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13
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Schairer CE, Mehta SR, Vinterbo SA, Hoenigl M, Kalichman M, Little SJ. Trust and Expectations of Researchers and Public Health Departments for the Use of HIV Molecular Epidemiology. AJOB Empir Bioeth 2019; 10:201-213. [PMID: 31050604 DOI: 10.1080/23294515.2019.1601648] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Background: Molecular epidemiology (ME) is a technique used to study the dynamics of pathogen transmission through a population. When used to study HIV infections, ME generates powerful information about how HIV is transmitted, including epidemiologic patterns of linkage and, potentially, transmission direction. Thus, ME raises challenging questions about the most responsible way to protect individual privacy while acquiring and using these data to advance public health and inform HIV intervention strategies. Here, we report on stakeholders' expectations for how researchers and public health agencies might use HIV ME. Methods: We conducted in-depth semistructured interviews with 40 key stakeholders to find out how these individuals respond to the proposed risks and benefits of HIV ME. Transcripts were coded and analyzed using Atlas.ti. Expectations were assessed through analysis of responses to hypothetical scenarios designed to help interviewees think through the implications of this emerging technique in the contexts of research and public health. Results: Our analysis reveals a wide range of imagined responsibilities, capabilities, and trustworthiness of researchers and public health agencies. Specifically, many respondents expect researchers and public health agencies to use HIV ME carefully and maintain transparency about how data will be used. Informed consent was discussed as an important opportunity for notification of privacy risks. Furthermore, some respondents wished that public health agencies were held to the same form of oversight and accountability represented by informed consent in research. Conclusions: To prevent HIV ME from becoming a barrier to testing or a source of public mistrust, the sense of vulnerability expressed by some respondents must be addressed. In research, informed consent is an obvious opportunity for this. Without giving specimen donors a similar opportunity to opt out, public health agencies may find it difficult to adopt HIV ME without deterring testing and treatment.
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Affiliation(s)
- Cynthia E Schairer
- a Department of Psychiatry, University of California San Diego , La Jolla , California , USA
| | - Sanjay R Mehta
- b Department of Medicine, University of California San Diego , La Jolla , California , USA.,c Department of Medicine, San Diego Veterans Affairs Medical Center , San Diego , California , USA.,d Department of Pathology, University of California San Diego , La Jolla , California , USA
| | - Staal A Vinterbo
- e Department of Information Security and Communication Technology, Norwegian University of Science and Technology , Gjøvik , Norway
| | - Martin Hoenigl
- b Department of Medicine, University of California San Diego , La Jolla , California , USA
| | - Michael Kalichman
- d Department of Pathology, University of California San Diego , La Jolla , California , USA.,f Research Ethics Program, University of California San Diego , La Jolla , California , USA
| | - Susan J Little
- b Department of Medicine, University of California San Diego , La Jolla , California , USA
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14
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Stecher M, Hoenigl M, Eis-Hübinger AM, Lehmann C, Fätkenheuer G, Wasmuth JC, Knops E, Vehreschild JJ, Mehta S, Chaillon A. Hotspots of Transmission Driving the Local Human Immunodeficiency Virus Epidemic in the Cologne-Bonn Region, Germany. Clin Infect Dis 2019; 68:1539-1546. [PMID: 30169606 PMCID: PMC6481988 DOI: 10.1093/cid/ciy744] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 08/24/2018] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Geographical allocation of interventions focusing on hotspots of human immunodeficiency virus (HIV) transmission has the potential to improve efficiency. We used phylogeographic analyses to identify hotspots of the HIV transmission in Cologne-Bonn, Germany. METHODS We included 714 HIV-1 infected individuals, followed up at the University Hospitals Cologne and Bonn. Distance-based molecular network analyses were performed to infer putative relationships. Characteristics of genetically linked individuals and assortativity (shared characteristics) were analyzed. Geospatial diffusion (ie, viral gene flow) was evaluated using a Slatkin-Maddison approach. Geospatial dispersal was determined by calculating the average distance between the residences of linked individuals (centroids of 3-digit zip code). RESULTS In sum, 217/714 (30.4%) sequences had a putative genetic linkage, forming 77 clusters (size range: 2-8). Linked individuals were more likely to live in areas surrounding the city center (P = .043), <30 years of age (P = .009). and infected with HIV-1 subtype B (P = .002). Clustering individuals were nonassortative by area of residency (-.0026, P = .046). Geospatial analyses revealed a median distance between genetically linked individuals of 23.4 kilometers (km), lower than expected (P < .001). Slatkin-Maddison analyses revealed increased gene flow from central Cologne toward the surrounding areas (P < .001). CONCLUSION Phylogeographic analysis suggests that central Cologne may be a significant driver of the regional epidemic. Although clustering individuals lived closer than unlinked individuals, they were less likely to be linked to others from their same zip code. These results could help public health entities better understand transmission dynamics, facilitating allocation of resources to areas of greatest need.
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Affiliation(s)
- Melanie Stecher
- Department I of Internal Medicine, University Hospital of Cologne, Germany
- German Center for Infection Research (DZIF), partner site Bonn-Cologne, Germany
| | - Martin Hoenigl
- Division of Infectious Diseases, University of California San Diego
- Division of Pulmonology and Section of Infectious Diseases, Medical University of Graz, Austria
| | - Anna Maria Eis-Hübinger
- German Center for Infection Research (DZIF), partner site Bonn-Cologne, Germany
- Institute of Virology, University of Bonn Medical Center, Germany
| | - Clara Lehmann
- Department I of Internal Medicine, University Hospital of Cologne, Germany
- German Center for Infection Research (DZIF), partner site Bonn-Cologne, Germany
| | - Gerd Fätkenheuer
- Department I of Internal Medicine, University Hospital of Cologne, Germany
- German Center for Infection Research (DZIF), partner site Bonn-Cologne, Germany
| | - Jan-Christian Wasmuth
- German Center for Infection Research (DZIF), partner site Bonn-Cologne, Germany
- Department for Internal Medicine I, University Hospital of Bonn, Germany
| | - Elena Knops
- Institute of Virology, University Hospital of Cologne, Germany
| | - Jörg Janne Vehreschild
- Department I of Internal Medicine, University Hospital of Cologne, Germany
- German Center for Infection Research (DZIF), partner site Bonn-Cologne, Germany
| | - Sanjay Mehta
- Division of Infectious Diseases, University of California San Diego
- Department of Medicine, San Diego VA Medical Center, California
| | - Antoine Chaillon
- Division of Infectious Diseases, University of California San Diego
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15
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Liu CC, Ji H. PCR Amplification Strategies Towards Full-length HIV-1 Genome Sequencing. Curr HIV Res 2019; 16:98-105. [PMID: 29943704 DOI: 10.2174/1570162x16666180626152252] [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: 01/15/2018] [Revised: 05/05/2018] [Accepted: 06/20/2018] [Indexed: 11/22/2022]
Abstract
The advent of next-generation sequencing has enabled greater resolution of viral diversity and improved feasibility of full viral genome sequencing allowing routine HIV-1 full genome sequencing in both research and diagnostic settings. Regardless of the sequencing platform selected, successful PCR amplification of the HIV-1 genome is essential for sequencing template preparation. As such, full HIV-1 genome amplification is a crucial step in dictating the successful and reliable sequencing downstream. Here we reviewed existing PCR protocols leading to HIV-1 full genome sequencing. In addition to the discussion on basic considerations on relevant PCR design, the advantages as well as the pitfalls of the published protocols were reviewed.
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Affiliation(s)
- Chao Chun Liu
- National Microbiology Laboratory at JC Wilt Infectious Diseases Research Center, Public Health Agency of Canada, Winnipeg, Canada
| | - Hezhao Ji
- National Microbiology Laboratory at JC Wilt Infectious Diseases Research Center, Public Health Agency of Canada, Winnipeg, Canada.,Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Canada
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16
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Abstract
HIV-1 env sequencing enables predictions of viral coreceptor tropism and phylogenetic investigations of transmission events. The aim of the study was to estimate the contribution of non-R5 strains to the viral spread in Poland. Partial proviral env sequences were retrieved from baseline blood samples of patients with newly diagnosed HIV-1 infection between 2008-2014, including 46 patients with recent HIV-1 infection (RHI), and 246 individuals with long-term infection (LTHI). These sequences were subjected to the genotypic coreceptor tropism predictions and phylogenetic analyses to identify transmission clusters. Overall, 27 clusters with 57 sequences (19.5%) were detected, including 15 sequences (26.3%) from patients with RHI. The proportion of non-R5 strains among all study participants was 23.3% (68/292), and was comparable between patients with RHI and LTHI (11/46, 23.9% vs 57/246, 23.2%; p = 1.000). All 11 patients with non-R5 strains and RHI were men having sex with men (MSM). Among these patients, 4 had viral sequences grouped within phylogenetic cluster with another sequence of non-R5 strain obtained from patient with LTHI, indicating potential acquisition of non-R5 HIV-1 for at least 4/46 (8.7%) patients with RHI. We were unable to confirm the contribution of patients with RHI to the forward transmission of non-R5 strains, but a relatively high proportion of non-R5 strains among them deserves attention due to the limited susceptibility to CCR5 antagonists.
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17
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Epidemiological analyses of regional and age differences of HIV/AIDS prevalence in China, 2004-2016. Int J Infect Dis 2019; 81:215-220. [PMID: 30797071 DOI: 10.1016/j.ijid.2019.02.016] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 02/13/2019] [Accepted: 02/14/2019] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVES To describe the prevalence of HIV/AIDS in China from 2004 to 2016 and to assess whether regional and age differences exist with HIV/AIDS infection. METHODS We searched the Chinese Public Health Science Data Center by the keywords of "HIV" or "AIDS", and collected the data referred to HIV/AIDS morbidity, mortality, and new HIV infection rate, 2004 to 2016. RESULTS The HIV/AIDS morbidity, mortality, and new HIV infection rate continually increased per year in China from 2004 to 2016 (0.235, 0.057 and 1.020 in 2004; 3.990, 1.034 and 6.442 in 2016 respectively) (all p<0.001). The middle-aged HIV/AIDS populations showed the highest infection and regional difference significantly existed in the geographical distribution of HIV/AIDS prevalence. CONCLUSIONS Our analyses of HIV/AIDS prevalence during more than a decade indicate that HIV/AIDS prevalence is getting more and more serious and the rapid spread of HIV exists with the characteristics of regional and age differences.
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18
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Stecher M, Chaillon A, Eis-Hübinger AM, Lehmann C, Fätkenheuer G, Wasmuth JC, Knops E, Vehreschild JJ, Mehta S, Hoenigl M. Pretreatment human immunodeficiency virus type 1 (HIV-1) drug resistance in transmission clusters of the Cologne-Bonn region, Germany. Clin Microbiol Infect 2019; 25:253.e1-253.e4. [PMID: 30315957 PMCID: PMC6349503 DOI: 10.1016/j.cmi.2018.09.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 09/25/2018] [Accepted: 09/28/2018] [Indexed: 11/21/2022]
Abstract
OBJECTIVES In Germany, previous reports have demonstrated transmitted human immunodeficiency virus type 1 (HIV-1) drug-resistance mutations (DRM) in 11% of newly diagnosed individuals, highlighting the importance of drug-resistance screening before the initiation of antiretroviral therapy (ART). Here, we sought to understand the molecular epidemiology of HIV DRM transmission in the Cologne-Bonn region of Germany, given one of the highest rates of new HIV diagnoses in western Europe (13.7 per 100 000 habitants). METHODS We analysed 714 HIV-1 ART-naive infected individuals diagnosed at the University Hospitals Cologne and Bonn between 2001 and 2016. Screening for DRM was performed according to the Stanford University Genotypic Resistance Interpretation. Shared DRM were defined as any DRM present in genetically linked individuals (<1.5% genetic distance). Phylogenetic and network analyses were performed to infer putative relationships and shared DRM. RESULTS The prevalence of any DRM at time of diagnosis was 17.2% (123/714 participants). Genetic transmission network analyses showed comparable frequencies of DRM in clustering versus non-clustering individuals (17.1% (85/497) versus 17.5% (38/217)). The observed rate of DRM in the region was higher than previous reports 10.8% (87/809) (p < 0.001), revealing the need to reduce onward transmission in this area. Genetically linked individuals harbouring shared DRM were more likely to live in suburban areas (24/38) than in central Cologne (1/38) (p < 0.001). CONCLUSION The rate of DRM was exceptionally high. Network analysis elucidated frequent cases of shared DRM among genetically linked individuals, revealing the potential spread of DRM and the need to prevent onward transmission of DRM in the Cologne-Bonn area.
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Affiliation(s)
- M Stecher
- Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany; German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany.
| | - A Chaillon
- Division of Infectious Diseases, University of California San Diego, San Diego, CA, USA.
| | - A M Eis-Hübinger
- Institute of Virology, University of Bonn Medical Centre, Bonn, Germany; German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Bonn, Germany
| | - C Lehmann
- Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany; German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany
| | - G Fätkenheuer
- Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany; German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany
| | - J-C Wasmuth
- German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Bonn, Germany; Department for Internal Medicine I, University Hospital of Bonn, Bonn, Germany
| | - E Knops
- Institute of Virology, University Hospital of Cologne, Cologne, Germany
| | - J J Vehreschild
- Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany; German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany
| | - S Mehta
- Division of Infectious Diseases, University of California San Diego, San Diego, CA, USA; Department of Medicine, San Diego VA Medical Centre, San Diego, CA, USA
| | - M Hoenigl
- Division of Infectious Diseases, University of California San Diego, San Diego, CA, USA; Division of Pulmonology and Section of Infectious Diseases, Medical University of Graz, Graz, Austria
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