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Baxter J, Langhorne S, Shi T, Tully DC, Villabona-Arenas CJ, Hué S, Albert J, Leigh Brown A, Atkins KE. Inferring the multiplicity of founder variants initiating HIV-1 infection: a systematic review and individual patient data meta-analysis. THE LANCET. MICROBE 2023; 4:e102-e112. [PMID: 36642083 DOI: 10.1016/s2666-5247(22)00327-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 01/15/2023]
Abstract
BACKGROUND HIV-1 infections initiated by multiple founder variants are characterised by a higher viral load and a worse clinical prognosis than those initiated with single founder variants, yet little is known about the routes of exposure through which transmission of multiple founder variants is most probable. Here we used individual patient data to calculate the probability of multiple founders stratified by route of HIV exposure and study methodology. METHODS We conducted a systematic review and meta-analysis of studies that estimated founder variant multiplicity in HIV-1 infection, searching MEDLINE, Embase, and Global Health databases for papers published between Jan 1, 1990, and Sept 14, 2020. Eligible studies must have reported original estimates of founder variant multiplicity in people with acute or early HIV-1 infections, have clearly detailed the methods used, and reported the route of exposure. Studies were excluded if they reported data concerning people living with HIV-1 who had known or suspected superinfection, who were documented as having received pre-exposure prophylaxis, or if the transmitting partner was known to be receiving antiretroviral treatment. Individual patient data were collated from all studies, with authors contacted if these data were not publicly available. We applied logistic meta-regression to these data to estimate the probability that an HIV infection is initiated by multiple founder variants. We calculated a pooled estimate using a random effects model, subsequently stratifying this estimate across exposure routes in a univariable analysis. We then extended our model to adjust for different study methods in a multivariable analysis, recalculating estimates across the exposure routes. This study is registered with PROSPERO, CRD42020202672. FINDINGS We included 70 publications in our analysis, comprising 1657 individual patients. Our pooled estimate of the probability that an infection is initiated by multiple founder variants was 0·25 (95% CI 0·21-0·29), with moderate heterogeneity (Q=132·3, p<0·0001, I2=64·2%). Our multivariable analysis uncovered differences in the probability of multiple variant infection by exposure route. Relative to a baseline of male-to-female transmission, the predicted probability for female-to-male multiple variant transmission was significantly lower at 0·13 (95% CI 0·08-0·20), and the probabilities were significantly higher for transmissions in people who inject drugs (0·37 [0·24-0·53]) and men who have sex with men (0·30 [0·33-0·40]). There was no significant difference in the probability of multiple variant transmission between male-to-female transmission (0·21 [0·14-0·31]), post-partum transmission (0·18 [0·03-0·57]), pre-partum transmission (0·17 [0·08-0·33]), and intra-partum transmission (0·27 [0·14-0·45]). INTERPRETATION We identified that transmissions in people who inject drugs and men who have sex with men are significantly more likely to result in an infection initiated by multiple founder variants, and female-to-male infections are significantly less probable. Quantifying how the routes of HIV infection affect the transmission of multiple variants allows us to better understand how the evolution and epidemiology of HIV-1 determine clinical outcomes. FUNDING Medical Research Council Precision Medicine Doctoral Training Programme and a European Research Council Starting Grant.
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Affiliation(s)
- James Baxter
- Usher Institute, The University of Edinburgh, Edinburgh, UK.
| | - Sarah Langhorne
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Ting Shi
- Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Damien C Tully
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Ch Julián Villabona-Arenas
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Stéphane Hué
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Jan Albert
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden
| | - Andrew Leigh Brown
- Institute of Evolutionary Biology, The University of Edinburgh, Edinburgh, UK
| | - Katherine E Atkins
- Usher Institute, The University of Edinburgh, Edinburgh, UK; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
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Laybohr Kamara I, Wang L, Guo Y, Huo S, Guo Y, Xu C, Liao Y, Liu WJ, Ma W, Gao GF. Spatial-temporal heterogeneity and determinants of HIV prevalence in the Mano River Union countries. Infect Dis Poverty 2022; 11:116. [PMID: 36443848 PMCID: PMC9706865 DOI: 10.1186/s40249-022-01036-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 10/10/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Utilizing population-based survey data in epidemiological research with a spatial perspective can integrate valuable context into the dynamics of HIV prevalence in West Africa. However, the situation in the Mano River Union (MRU) countries is largely unknown. This research aims to perform an ecological study to determine the HIV prevalence patterns in MRU. METHODS We analyzed Demographic and Health Survey (DHS) and AIDS Indicator Survey (AIS) data on HIV prevalence in MRU from 2005 to 2020. We examined the country-specific, regional-specific and sex-specific ratios of respondents to profile the spatial-temporal heterogeneity of HIV prevalence and determine HIV hot spots. We employed Geodetector to measure the spatial stratified heterogeneity (SSH) of HIV prevalence for adult women and men. We assessed the comprehensive correct knowledge (CCK) about HIV/AIDS and HIV testing uptake by employing the Least Absolute Shrinkage and Selection Operator (LASSO) regression to predict which combinations of CCKs can scale up the ratio of HIV testing uptake with sex-specific needs. RESULTS In our analysis, we leveraged data for 158,408 respondents from 11 surveys in the MRU. From 2005-2015, Cote d'Ivoire was the hot spot for HIV prevalence with a Gi_Bin score of 3, Z-Score 8.0-10.1 and P < 0.001. From 2016 to 2020, Guinea and Sierra Leone were hot spots for HIV prevalence with a Gi_Bin score of 2, Z-Score of 3.17 and P < 0.01. The SSH confirmed the significant differences in HIV prevalence at the national level strata, with a higher level for Cote d'Ivoire compared to other countries in both sexes with q-values of 0.61 and 0.40, respectively. Our LASSO model predicted different combinations of CCKs with sex-specific needs to improve HIV testing uptake. CONCLUSIONS The spatial distribution of HIV prevalence in the MRU is skewed and the CCK about HIV/AIDS and HIV testing uptake are far below the threshold target set by UNAIDS for ending the epidemic in the sub-region. Geodetector detected statistically significant SSH within and between countries in the MRU. Our LASSO model predicted that different emphases should be implemented when popularizing the CCK about HIV/AIDS for adult women and men.
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Affiliation(s)
- Idrissa Laybohr Kamara
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.,NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Liang Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-Warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing, 100101, China
| | - Yaxin Guo
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Shuting Huo
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yuanyuan Guo
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.,NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Chengdong Xu
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yilan Liao
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - William J Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Wei Ma
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
| | - George F Gao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China. .,NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. .,CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-Warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing, 100101, China.
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Safina KR, Sidorina Y, Efendieva N, Belonosova E, Saleeva D, Kirichenko A, Kireev D, Pokrovsky V, Bazykin GA. Molecular Epidemiology of HIV-1 in Oryol Oblast, Russia. Virus Evol 2022; 8:veac044. [PMID: 35775027 PMCID: PMC9239399 DOI: 10.1093/ve/veac044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 05/15/2022] [Accepted: 05/31/2022] [Indexed: 11/29/2022] Open
Abstract
The HIV/AIDS epidemic in Russia is growing, with approximately 100,000 people infected annually. Molecular epidemiology can provide insight into the structure and dynamics of the epidemic. However, its applicability in Russia is limited by the weakness of genetic surveillance, as viral genetic data are only available for <1 per cent of cases. Here, we provide a detailed description of the HIV-1 epidemic for one geographic region of Russia, Oryol Oblast, by collecting and sequencing viral samples from about a third of its known HIV-positive population (768 out of 2,157 patients). We identify multiple introductions of HIV-1 into Oryol Oblast, resulting in eighty-two transmission lineages that together comprise 66 per cent of the samples. Most introductions are of subtype A (315/332), the predominant HIV-1 subtype in Russia, followed by CRF63 and subtype B. Bayesian analysis estimates the effective reproduction number Re for subtype A at 2.8 [1.7–4.4], in line with a growing epidemic. The frequency of CRF63 has been growing more rapidly, with the median Re of 11.8 [4.6–28.7], in agreement with recent reports of this variant rising in frequency in some regions of Russia. In contrast to the patterns described previously in European and North American countries, we see no overrepresentation of males in transmission lineages; meanwhile, injecting drug users are overrepresented in transmission lineages. This likely reflects the structure of the HIV-1 epidemic in Russia dominated by heterosexual and, to a smaller extent, people who inject drugs transmission. Samples attributed to men who have sex with men (MSM) transmission are associated with subtype B and are less prevalent than expected from the male-to-female ratio for this subtype, suggesting underreporting of the MSM transmission route. Together, our results provide a high-resolution description of the HIV-1 epidemic in Oryol Oblast, Russia, characterized by frequent interregional transmission, rapid growth of the epidemic, and rapid displacement of subtype A with the recombinant CRF63 variant.
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Affiliation(s)
- Ksenia R Safina
- The Institute for Information Transmission Problems of Russian Academy of Sciences , Moscow, Russian Federation
- Skolkovo Institute of Science and Technology , Moscow, Russian Federation
| | - Yulia Sidorina
- Oryol Regional Center for AIDS and Infectious Diseases Control and Prevention , Oryol, Russian Federation
| | - Natalya Efendieva
- Oryol Regional Center for AIDS and Infectious Diseases Control and Prevention , Oryol, Russian Federation
| | - Elena Belonosova
- Oryol Regional Center for AIDS and Infectious Diseases Control and Prevention , Oryol, Russian Federation
| | - Darya Saleeva
- Central Research Institute of Epidemiology , Moscow, Russian Federation
| | - Alina Kirichenko
- Central Research Institute of Epidemiology , Moscow, Russian Federation
| | - Dmitry Kireev
- Central Research Institute of Epidemiology , Moscow, Russian Federation
| | - Vadim Pokrovsky
- Central Research Institute of Epidemiology , Moscow, Russian Federation
| | - Georgii A Bazykin
- The Institute for Information Transmission Problems of Russian Academy of Sciences , Moscow, Russian Federation
- Skolkovo Institute of Science and Technology , Moscow, Russian Federation
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Hanke K, Fiedler S, Grumann C, Ratmann O, Hauser A, Klink P, Meixenberger K, Altmann B, Zimmermann R, Marcus U, Bremer V, Auwärter V, Bannert N. A Recent Human Immunodeficiency Virus Outbreak Among People Who Inject Drugs in Munich, Germany, Is Associated With Consumption of Synthetic Cathinones. Open Forum Infect Dis 2020; 7:ofaa192. [PMID: 32617370 PMCID: PMC7314588 DOI: 10.1093/ofid/ofaa192] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 05/25/2020] [Indexed: 12/12/2022] Open
Abstract
Background Needle and syringe sharing among people who inject drugs (PWID) can result in a rapid regional spread of a human immunodeficiency virus (HIV) variant. Such outbreaks have been identified recently in several countries and have raised public health attention because of an association with new psychoactive substances (NPS). Methods Dried serum spots from approximately 60% of newly diagnosed HIV cases in Germany in 2013–2018 were received together with statutory notification data. Samples were sequenced in the pol-region, genotyped, and viral phylogenies were analyzed. For selected samples, the hepatitis C virus (HCV) status and the presence of NPS were determined. Results An outbreak of closely related 27 subtype C infections with a core of 11 cases with almost identical sequences was identified using phylogenetic analyses. The first case of the outbreak was diagnosed in 2015, and the last one was in 2018. With exception of 3 infections, all were reported from Munich, the capital of the federal state of Bavaria. Of 26 analyzed outbreak members, 24 (92.3%) had a resolved or viremic HCV coinfection. In 8 of 18 (44%) cases, α-pyrrolidinopentiothiophenone and/or the related substance α-pyrrolidinoheptiophenone was identified. Conclusions Despite harm reduction services in place, HIV outbreaks of considerable size can occur in PWID. The establishment of a real-time molecular surveillance is advised to rapidly identify outbreaks and target prevention measures.
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Affiliation(s)
- Kirsten Hanke
- Division of HIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany
| | - Stefan Fiedler
- Division of HIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany
| | - Christina Grumann
- Institute of Forensic Medicine, Forensic Toxicology, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany.,Hermann Staudinger Graduate School, University of Freiburg, Freiburg, Germany
| | - Oliver Ratmann
- Department of Mathematics, Imperial College London, London, United Kingdom
| | - Andrea Hauser
- Division of HIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany
| | - Patrycja Klink
- Division of HIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany
| | | | - Britta Altmann
- Division of HIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany
| | - Ruth Zimmermann
- Division of HIV/AIDS, STI, and Blood-borne Infections, Robert Koch Institute, Berlin, Germany
| | - Ulrich Marcus
- Division of HIV/AIDS, STI, and Blood-borne Infections, Robert Koch Institute, Berlin, Germany
| | - Viviane Bremer
- Division of HIV/AIDS, STI, and Blood-borne Infections, Robert Koch Institute, Berlin, Germany
| | - Volker Auwärter
- Institute of Forensic Medicine, Forensic Toxicology, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany
| | - Norbert Bannert
- Division of HIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany.,Institute of Virology, Charité Universitätsmedizin Berlin, Berlin, Germany
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Hebberecht L, Vancoillie L, Schauvliege M, Staelens D, Demecheleer E, Hardy J, Mortier V, Verhofstede C. Single genome sequencing of near full-length HIV-1 RNA using a limiting dilution approach. J Virol Methods 2019; 274:113737. [PMID: 31562885 DOI: 10.1016/j.jviromet.2019.113737] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 09/20/2019] [Accepted: 09/22/2019] [Indexed: 11/18/2022]
Abstract
Sequencing very long stretches of the HIV-1 genome can advance studies on virus evolution and in vivo recombination but remains technically challenging. We developed an efficient procedure to sequence near full-length HIV-1 RNA using a two-amplicon approach. The whole genome was successfully amplified for 107 (88%) of 121 plasma samples including samples from patients infected with HIV-1 subtype A1, B, C, D, F1, G, H, CRF01_AE and CRF02_AG. For the 17 samples with a viral load below 1000 c/ml and the 104 samples with a viral load above 1000 c/ml, the amplification efficiency was respectively 53% and 94%. The sensitivity of the method was further evaluated using limiting dilution of RNA extracted from a plasma pool containing an equimolar mixture of three HIV-1 subtypes (B, C and CRF02_AG) and diluted before and after cDNA generation. Both RNA and cDNA dilution showed comparable sensitivity and equal accuracy in reflecting the subtype distribution of the plasma pool. One single event of in vitro recombination was detected amongst the 41 sequences obtained after cDNA dilution but no indications for in vitro recombination were found after RNA dilution. In conclusion, a two-amplicon strategy and limiting dilution of viral RNA followed by reverse transcription, nested PCR and Sanger sequencing, allows near full genome sequencing of individual HIV-1 RNA molecules. This method will be a valuable tool in the study of virus evolution and recombination.
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Affiliation(s)
- Laura Hebberecht
- Aids Reference Laboratory, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Leen Vancoillie
- Aids Reference Laboratory, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Marlies Schauvliege
- Aids Reference Laboratory, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Delfien Staelens
- Aids Reference Laboratory, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Els Demecheleer
- Aids Reference Laboratory, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Jarryt Hardy
- Aids Reference Laboratory, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Virginie Mortier
- Aids Reference Laboratory, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Chris Verhofstede
- Aids Reference Laboratory, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
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