1
|
Parczewski M, Sulkowska E, Urbańska A, Scheibe K, Serwin K, Grabarczyk P. Transmitted HIV drug resistance and subtype patterns among blood donors in Poland. Sci Rep 2021; 11:12734. [PMID: 34140600 PMCID: PMC8211697 DOI: 10.1038/s41598-021-92210-2] [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] [Received: 01/23/2021] [Accepted: 06/07/2021] [Indexed: 12/17/2022] Open
Abstract
Surveillance on the HIV molecular variability, risk of drug resistance transmission and evolution of novel viral variants among blood donors remains an understudied aspect of hemovigilance. This nationwide study analyses patterns of HIV diversity and transmitted resistance mutations. Study included 185 samples from the first time and repeat blood donors with HIV infection identified by molecular assay. HIV protease, reverse transcriptase and integrase were sequenced using population methods. Drug resistance mutation (DRM) patterns were analyzed based on the Stanford Interpretation Algorithm and standardized lists of transmitted mutations. Phylogeny was used to investigate subtyping, clustering and recombination patterns. HIV-1 subtype B (89.2%) followed by subtype A6 (7.6%) were predominant, while in three (1.6%) cases, novel recombinant B/A6 variants were identified. Non-B variants were more common among repeat donors (14.5%) compared to the first time ones (1.8%), p = 0.011, with higher frequency (9.9%) of A6 variant in the repeat donor group, p = 0.04. Major NRTI DRMs were observed in 3.8%, NNRTI and PI in 0.6% and INSTI 1.1% of cases. Additionally, E157Q polymorphism was observed in 9.8% and L74I in 11.5% of integrase sequences. Transmission of drug resistance among blood donors remains infrequent. Subtype patters increase in complexity with emergence of novel intersubtype A6B recombinants.
Collapse
Affiliation(s)
- Miłosz Parczewski
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University, Arkońska 4, 71-455, Szczecin, Poland.
| | - Ewa Sulkowska
- Institute of Haematology and Transfusion Medicine in Warsaw, Warsaw, Poland
| | - Anna Urbańska
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University, Arkońska 4, 71-455, Szczecin, Poland
| | - Kaja Scheibe
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University, Arkońska 4, 71-455, Szczecin, Poland
| | - Karol Serwin
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University, Arkońska 4, 71-455, Szczecin, Poland
| | - Piotr Grabarczyk
- Institute of Haematology and Transfusion Medicine in Warsaw, Warsaw, Poland
| |
Collapse
|
2
|
Huang C, Ye L, Abdullah AS, Liang B, Jiang J, Ning C, Zang N, Zhang Y, Yang Y, Hu X, Yang Q, Luo C, Lao F, Liu H, Liang H, Huang J. No Increase in HIV Drug Resistance Mutations among Injecting Drug Users on Methadone Maintenance Therapy: A Prospective Cohort Study. Curr HIV Res 2020; 18:362-372. [PMID: 32652910 DOI: 10.2174/1570162x18666200712173630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 06/21/2020] [Accepted: 06/24/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Whether HIV-positive injecting drug users (IDUs) are at higher risk of developing drug resistance mutations (DRMs) after methadone maintenance therapy (MMT) than any other HIV-positive population is unclear. OBJECTIVE To compare the incidence of new DRMs in two population groups: antiretroviraltreatment (ART) HIV-positive IDUs and non-drug users. METHODS A prospective cohort of ART HIV-positive patients including IDUs who received MMT (MMT group) and non-drug users (N-MMT group) was established from April 2016 to December 2017 in Guangxi, China. RESULTS Of the 80 participants, 43 were in the MMT group and 37 were in the N-MMT group. Compared with the N-MMT group, the HRs of PIs, NRTIs and NNRTIs for new DRMs in the MMT group was 1.55 (95%CI: 0.28-8.64; P = 0.616), 1.51 (95%CI: 0.44-5.20; P = 0.512) and 0.45 (95%CI: 0.15-1.35; P = 0.155), respectively. There was no dose-response relationship between MMT and new DRMs for PIs, NRTIs and NNRTIs (P > 0.05). The new DRM incidence for NRTIs (138.23 per 104 person-months) was higher than for PIs (94.16 per 104 person-months) and NNRTIs (95.41per 104 person-months) in the MMT group, while the new DRM incidence for NNRTIs (208.24 per 104 person-months) was higher than for PIs (44.13 per 104 person-months) and NRTIs (91.78 per 104 person-months) in the N-MMT group. CONCLUSION Among ART HIV-positive patients, there is no significant difference in the incidence of new DRMs between IDUs receiving MMT and non-drug users. MMT has little impact on the development of DRMs among IDUs.
Collapse
Affiliation(s)
- Chunyuan Huang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Li Ye
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Abu S Abdullah
- Department of Medicine, Boston University School of Medicine, Boston Medical Center, Boston, Massachusetts 02118, USA
| | - Bingyu Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Junjun Jiang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Chuanyi Ning
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University,
Nanning 530021, Guangxi, China
| | - Ning Zang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University,
Nanning 530021, Guangxi, China
| | - Yu Zhang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Yuan Yang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Xi Hu
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Quanlue Yang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Chaolian Luo
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University,
Nanning 530021, Guangxi, China
| | - Feixiang Lao
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Huifang Liu
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University,
Nanning 530021, Guangxi, China
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University,
Nanning 530021, Guangxi, China
| | - Jiegang Huang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Universities Key Laboratory of Prevention and
Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| |
Collapse
|
3
|
Palumbo PJ, Zhang Y, Fogel JM, Guo X, Clarke W, Breaud A, Richardson P, Piwowar-Manning E, Hart S, Hamilton EL, Hoa NTK, Liulchuk M, Anandari L, Ha TV, Dumchev K, Djoerban Z, Hoffman I, Hanscom B, Miller WC, Eshleman SH. HIV drug resistance in persons who inject drugs enrolled in an HIV prevention trial in Indonesia, Ukraine, and Vietnam: HPTN 074. PLoS One 2019; 14:e0223829. [PMID: 31600343 PMCID: PMC6786608 DOI: 10.1371/journal.pone.0223829] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 09/27/2019] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Persons who inject drugs (PWID) have high HIV incidence and prevalence, and may have limited access to antiretroviral therapy (ART) in some settings. We evaluated HIV drug resistance in PWID in a randomized clinical trial (HPTN 074). The study intervention included ART at any CD4 cell count with enhanced support for ART and substance use treatment. METHODS HPTN 074 enrolled HIV-infected PWID (index participants) with viral loads ≥1,000 copies/mL and their HIV-uninfected injection-network partners in Indonesia, Ukraine, and Vietnam; the study limited enrollment of people who reported being on ART. HIV drug resistance testing and antiretroviral (ARV) drug testing were performed using samples collected from index participants at study enrollment. RESULTS Fifty-four (12.0%) of 449 participants had HIV drug resistance; 29 (53.7%) of the 54 participants had multi-class resistance. Prevalence of resistance varied by study site and was associated with self-report of prior or current ART, detection of ARV drugs, and a history of incarceration. Resistance was detected in 10 (5.6%) of 177 newly diagnosed participants. Participants with resistance at enrollment were less likely to be virally suppressed after 52 weeks of follow-up, independent of study arm. CONCLUSIONS In HPTN 074, many of the enrolled index participants had HIV drug resistance and more than half of those had multi-class resistance. Some newly-diagnosed participants had resistance, suggesting that they may have been infected with drug-resistant HIV strains. Behavioral and geographic factors were associated with baseline resistance. Baseline resistance was associated with reduced viral suppression during study follow-up. These findings indicate the need for enhanced HIV care in this high-risk population to achieve sustained viral suppression on ART.
Collapse
Affiliation(s)
- Philip J. Palumbo
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Yinfeng Zhang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Jessica M. Fogel
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Xu Guo
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - William Clarke
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Autumn Breaud
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Paul Richardson
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Estelle Piwowar-Manning
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Stephen Hart
- Frontier Science Foundation, Amherst, NY, United States of America
| | - Erica L. Hamilton
- Science Facilitation Department, Durham, NC, United States of America
| | - Ngo T. K. Hoa
- University of North Carolina Vietnam, Hanoi, Vietnam
| | - Mariya Liulchuk
- Gromashevsky Institute for Epidemiology and Infectious Diseases of the National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - Latifah Anandari
- University of Indonesia/Cipto Mangunkusumo Hospital, Jakarta, Indonesia
| | - Tran Viet Ha
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | | | - Zubairi Djoerban
- Departments of Hematology, Medical Oncology, and Medicine, University of Indonesia/Cipto Mangunkusumo Hospital, Jakarta, Indonesia
| | - Irving Hoffman
- Department of Medicine, University of North Carolina Chapel Hill School of Medicine, Chapel Hill, NC, United States of America
| | - Brett Hanscom
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - William C. Miller
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, United States of America
| | - Susan H. Eshleman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| |
Collapse
|
4
|
Chen R, Liang B, Wen B, Huang G, Ning C, Lao C, Jiang J, Liu J, Zhou B, Huang J, Chen J, Zang N, Liao Y, Mo D, Ye L, Liang H. No Difference in Prevalence of Transmitted Drug Resistance between Injection Drug Users and Non-Injection Drug Users: A Cross-Sectional Study among Antiretroviral Treatment-Naïve HIV Patients. Intervirology 2019; 61:281-291. [PMID: 31018203 DOI: 10.1159/000499367] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 02/17/2019] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES The epidemiological evidence is inconsistent about whether HIV-positive injection drug users (IDUs) are at higher risk of developing antiretroviral resistance than any other HIV-positive populations. This study aims to investigate and compare transmitted drug resistance (TDR) between IDUs and non-IDUs in Lingshan County, an HIV-hit region in Guangxi, China, where IDU and heterosexual transmission were the two dominant transmission routes and roughly equally contributed to the local HIV transmission. METHODS A cross-sectional study was conducted among newly diagnosed and antiretroviral-treatment (ART)-naïve HIV-1 patients from Lingshan County. The pol gene of HIV-1 from the individuals was sequenced followed by genotyping and TDR analysis. RESULTS Two dominant transmission routes, heterosexual contact and IDU, accounted for 49.2 and 45.9% of 183 HIV-1 infection cases, respectively. Three genotypes, including CRF08_BC (70.6%), CRF01_AE (24.4%), and CRF07_BC (5.0%), and three unique recombinant forms (1.6%), were identified. There was a significant difference in genotype distribution among the different transmission routes (F = 21.814, p < 0.001). The overall TDR prevalence was 5.5%. There were no significant differences in TDR prevalence among the different transmission routes (F = 1.420, p = 0.439). CONCLUSIONS Injection drug use has little impact on TDR prevalence compared with other routes of transmission.
Collapse
Affiliation(s)
- Rongfeng Chen
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Bingyu Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Binbin Wen
- School of Nursing, Guangxi University of Chinese Medicine, Nanning, China
| | - Guanghua Huang
- Department of AIDS Prevention, Lingshan Center for Disease Control and Prevention, Lingshan, China
| | - Chuanyi Ning
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Chengyong Lao
- Department of AIDS Prevention, Lingshan Center for Disease Control and Prevention, Lingshan, China
| | - Junjun Jiang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Jie Liu
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Bo Zhou
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Jiegang Huang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Jinmei Chen
- Department of AIDS Prevention, Lingshan Center for Disease Control and Prevention, Lingshan, China
| | - Ning Zang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Yanyan Liao
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Dongsong Mo
- Department of AIDS Prevention, Lingshan Center for Disease Control and Prevention, Lingshan, China
| | - Li Ye
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China, .,Guangxi Collaborative Innovation Center for Biomedicine, Life Sciences Institute, Guangxi Medical University, Nanning, China,
| |
Collapse
|
5
|
Machnowska P, Meixenberger K, Schmidt D, Jessen H, Hillenbrand H, Gunsenheimer-Bartmeyer B, Hamouda O, Kücherer C, Bannert N. Prevalence and persistence of transmitted drug resistance mutations in the German HIV-1 Seroconverter Study Cohort. PLoS One 2019; 14:e0209605. [PMID: 30650082 PMCID: PMC6334938 DOI: 10.1371/journal.pone.0209605] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 12/07/2018] [Indexed: 02/03/2023] Open
Abstract
The prevalence of transmitted drug resistance (TDR) in antiretroviral therapy (ART)-naïve individuals remains stable in most developed countries despite a decrease in the prevalence of acquired drug resistance. This suggests that persistence and further transmission of HIV-1 that encodes transmitted drug resistance mutations (TDRMs) is occurring in ART-naïve individuals. In this study, we analysed the prevalence and persistence of TDRMs in the protease and reverse transcriptase-sequences of ART-naïve patients within the German HIV-1 Seroconverter Study Cohort who were infected between 1996 and 2017. The prevalence of TDRMs and baseline susceptibility to antiretroviral drugs were assessed using the Stanford HIVdb list and algorithm. Mean survival times of TDRMs were calculated by Kaplan-Meier analysis. The overall prevalence of TDR was 17.2% (95% CI 15.7–18.6, N = 466/2715). Transmitted NNRTI resistance was observed most frequently with 7.8% (95% CI 6.8–8.8), followed by NRTI resistance (5.0%, 95% CI 4.2–5.9) and PI resistance (2.8%, 95% CI 2.2–3.4). Total TDR (OR = 0.89, p = 0.034) and transmitted NRTI resistance (OR = 0.65, p = 0.000) decreased between 1996 and 2017 but has remained stable during the last decade. Viral susceptibility to NNRTIs (6.5%-6.9% for individual drugs) was mainly reduced, while <3% of the recommended NRTIs and PIs were affected. The longest mean survival times were calculated for the NNRTI mutations K103N (5.3 years, 95% CI 4.2–5.6) and E138A/G/K (8.0 years, 95% CI 5.8–10.2 / 7.9 years, 95% CI 5.4–10.3 / 6.7 years, 95% CI 6.7–6.7) and for the NRTI mutation M41L (6.4 years, 95% CI 6.0–6.7).The long persistence of single TDRMs indicates that onward transmission from ART-naïve individuals is the main cause for TDR in Germany. Transmitted NNRTI resistance was the most frequent TDR, showing simultaneously the highest impact on baseline ART susceptibility and on TDRMs with prolonged persistence. These results give cause for concern regarding the use of NNRTI in first-line regimens.
Collapse
Affiliation(s)
- Patrycja Machnowska
- Division of HIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany
- * E-mail: (NB); (PM)
| | | | - Daniel Schmidt
- Division of HIV/AIDS, STI and Blood-borne Infections, Robert Koch Institute, Berlin, Germany
| | | | | | | | - Osamah Hamouda
- Division of HIV/AIDS, STI and Blood-borne Infections, Robert Koch Institute, Berlin, Germany
| | - Claudia Kücherer
- Division of HIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany
| | - Norbert Bannert
- Division of HIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany
- Institute of Virology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- * E-mail: (NB); (PM)
| | | |
Collapse
|
6
|
Kowalska JD, Ankiersztejn-Bartczak M, Shepherd L, Mocroft A. Cascade of care and factors associated with virological suppression among HIV-positive persons linked to care in the Test and Keep in Care (TAK) project. Infection 2018; 46:533-540. [PMID: 29785614 PMCID: PMC6096934 DOI: 10.1007/s15010-018-1154-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2018] [Accepted: 05/17/2018] [Indexed: 12/03/2022]
Abstract
Introduction Early treatment remains the most effective HIV prevention strategy; poor linkage to care after HIV diagnosis may compromise this benefit. We sought to better understand patient characteristics and their association with virological suppression (VS) following cART initiation. Methods The TAK project collects pre-linkage to care and clinical data on patients diagnosed with HIV in voluntary testing facilities in central Poland. Data collected for persons diagnosed in 2010–2013 were linked with HIV clinic records. Individuals linked to care who commenced cART were followed from until the earliest of first VS (HIV RNA < 50 copies/ml), last visit, death or 6 January 2016. Cox-proportional hazard models were used to identify factors associated with first viral suppression. Results 232 persons were HIV positive, 144 (62%, 95% CI 55, 68%) linked to care, 116 (81% of those linked to care, 95% CI 73, 87%) started cART during follow up, of which 113 (97%, 95% CI 93, 99%) achieved VS. Non-PI based regimen (for integrase inhibitors aHR: 5.03: 1.90, 13.32) and HLA B5701-positive (aHR: 3.97: 1.33, 11.85) were associated with higher chance of VS. Unknown syphilis status (aHR: 0.27: 0.13, 0.57) and higher HIV RNA (aHR a tenfold increase: 0.56: 0.42, 0.75) remained associated with lower chance of VS. Conclusions Although a low proportion of persons were linked to care, almost all those linked to care started cART and achieved rapid VS. The high rates of VS were irrespective of prior HIV-associated risk behaviours. Linkage to care remains the highest priority in prevention strategies in central Poland.
Collapse
Affiliation(s)
- Justyna D Kowalska
- Department of Adults' Infectious Diseases, Medical University of Warsaw, Ul. Wolska 37, 01-201, Warsaw, Poland. .,Hospital for Infectious Diseases, HIV Out-Patient Clinic, Warsaw, Poland.
| | | | | | | |
Collapse
|
7
|
Leszczyszyn-Pynka M, Ciejak P, Maciejewska K, Witak-Jędra M, Karasińska-Cieślak M, Karpińska E, Wawrzynowicz-Syczewska M, Parczewski M. Hepatitis C coinfection adversely affects the life expectancy of people living with HIV in northwestern Poland. Arch Med Sci 2018; 14:554-559. [PMID: 29765442 PMCID: PMC5949897 DOI: 10.5114/aoms.2016.58744] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 02/01/2016] [Indexed: 12/26/2022] Open
Abstract
INTRODUCTION Hepatitis C (HCV) infection adversely affects survival among people living with HIV, increasing mortality risk due to liver-related causes. In Poland HCV is found among ~30% of HIV infected individuals, with only a small percentage successfully treated for this coinfection. This study aimed to analyze the HCV-associated influence on the life expectancy among HIV/HCV coinfected patients from northwestern Poland. MATERIAL AND METHODS Longitudinal data of 701 (368 HIV monoinfected and 368 HIV/HCV coinfected) patients were investigated to assess the life expectancy and survival after HIV diagnosis. Kaplan-Meier and Cox analyses were used to assess the mortality risk in both unadjusted and multivariate models. Effect plots indicate the adjusted hazard ratio for HCV-associated survival. RESULTS Overall mortality was significantly higher among HCV coinfected (22.52%) compared to HIV monoinfected (10.32%) cases (p < 0.001, OR = 2.52 (95% CI: 1.65-3.85)), with shorter life expectancy among HIV/HCV infected patients (median: 55.4 (IQR: 42.8-59.1) years) compared to HIV monoinfection (median 72.7 (IQR: 60.4-76.8) years, univariate HR = 4.15 (95% CI: 2.7-6.38), p < 0.0001, adjusted HR = 2.32 (95% CI: 1.47-3.65), p < 0.0001). After HIV diagnosis, HCV adversely influenced the survival after 15 years of follow-up, with a strengthened impact in the subsequent 5 years (univariate HR = 1.57 (95% CI: 1.05-2.34) p = 0.026 for the 20-year survival time point, adjusted HR = 2.21 (95% CI: 1.18-4.13), p = 0.013). CONCLUSIONS Among patients living with HIV, HCV coinfection is associated with a median life expectancy decrease of 17.3 years and low probability of surviving until the age of 65 years. In the era of directly acting anti-HCV drugs, treatment scale-up and immediacy of treatment are advisable in this cohort.
Collapse
Affiliation(s)
- Magdalena Leszczyszyn-Pynka
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University, Szczecin, Poland
| | - Piotr Ciejak
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University, Szczecin, Poland
| | - Katarzyna Maciejewska
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University, Szczecin, Poland
| | - Magdalena Witak-Jędra
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University, Szczecin, Poland
| | | | - Ewa Karpińska
- Department of Infectious Diseases, Hepatology and Liver Transplantation, Pomeranian Medical University, Szczecin, Poland
| | - Marta Wawrzynowicz-Syczewska
- Department of Infectious Diseases, Hepatology and Liver Transplantation, Pomeranian Medical University, Szczecin, Poland
| | - Miłosz Parczewski
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University, Szczecin, Poland
| |
Collapse
|
8
|
Song Y, Xin R, Li Z, Yu H, Lun W, Ye J, Liu A, Li A, Li J, Ye J, Hao M, Lu H, Sun L. Prevalence of transmitted drug resistance among HIV-1 treatment-naive patients in Beijing. Epidemiol Infect 2018; 146:339-344. [PMID: 29345606 PMCID: PMC9134542 DOI: 10.1017/s0950268817003016] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Revised: 11/01/2017] [Accepted: 11/14/2017] [Indexed: 11/07/2022] Open
Abstract
To optimise patients' outcomes and gain insight into transmitted drug resistance (TDR) among human immunodeficiency virus (HIV)-1 treatment-naive patients in Beijing, the prevalence of TDR was assessed. Demographic and clinical data of 1241 treatment-naive patients diagnosed between April 2014 and February 2015 were collected. TDR was defined using the Stanford University HIV drug resistance mutations database. The risk factors were evaluated by multi-logistic regression analysis. Among 932 successfully amplified cases, most were male (96.78%) and infected through men having sex with men (91.74%). Genotype were CRF01_AE (56.44%), B (20.60%), CRF07_BC (19.96%), C (1.61%) and other genotypes (1.39%). The overall prevalence of TDR was 6.12%. Most frequent mutations occurred in non-nucleoside reverse transcriptase inhibitors (NNRTIs) (3.11%), followed by protease inhibitors (PIs) (2.25%) and nucleoside reverse transcriptase inhibitors (NRTIs) (1.32%). Furthermore, HIV-1 genotype was associated with high risk of resistance, in which genotype C and other genotype may have higher risk for resistance. The prevalence among treatment-naive patients in Beijing was low. Resistance to NNRTIs was higher than with PIs or NRTIs. Continuous monitoring of regional levels of HIV-1 TDRs would contribute to improve treatment outcomes and prevent failures.
Collapse
Affiliation(s)
- Y.X. Song
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - R.L. Xin
- Beijing Center for Diseases Prevention and Control, Beijing, China
| | - Z.C. Li
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - H.W. Yu
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - W.H. Lun
- Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - J. Ye
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - A. Liu
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - A.X. Li
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - J.W. Li
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - J.Z. Ye
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - M.Q. Hao
- Beijing Center for Diseases Prevention and Control, Beijing, China
| | - H.Y. Lu
- Beijing Center for Diseases Prevention and Control, Beijing, China
| | - L.J. Sun
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
9
|
Papa F, Binda F, Felici G, Franzetti M, Gandolfi A, Sinisgalli C, Balotta C. A simple model of HIV epidemic in Italy: The role of the antiretroviral treatment. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2018; 15:181-207. [PMID: 29161832 DOI: 10.3934/mbe.2018008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
In the present paper we propose a simple time-varying ODE model to describe the evolution of HIV epidemic in Italy. The model considers a single population of susceptibles, without distinction of high-risk groups within the general population, and accounts for the presence of immigration and emigration, modelling their effects on both the general demography and the dynamics of the infected subpopulations. To represent the intra-host disease progression, the untreated infected population is distributed over four compartments in cascade according to the CD4 counts. A further compartment is added to represent infected people under antiretroviral therapy. The per capita exit rate from treatment, due to voluntary interruption or failure of therapy, is assumed variable with time. The values of the model parameters not reported in the literature are assessed by fitting available epidemiological data over the decade 2003÷2012. Predictions until year 2025 are computed, enlightening the impact on the public health of the early initiation of the antiretroviral therapy. The benefits of this change in the treatment eligibility consist in reducing the HIV incidence rate, the rate of new AIDS cases, and the rate of death from AIDS. Analytical results about properties of the model in its time-invariant form are provided, in particular the global stability of the equilibrium points is established either in the absence and in the presence of infected among immigrants.
Collapse
Affiliation(s)
- Federico Papa
- Istituto di Analisi dei Sistemi ed Informatica 'A. Ruberti' - CNR, Roma, Italy
| | - Francesca Binda
- Dipartimento di Scienze Biomediche e Cliniche 'L. Sacco', Sezione di Malattie Infettive e Immunopatologia, Università degli Studi di Milano, Milano, Italy
| | - Giovanni Felici
- Istituto di Analisi dei Sistemi ed Informatica 'A. Ruberti' - CNR, Roma, Italy
| | - Marco Franzetti
- Dipartimento di Scienze Biomediche e Cliniche 'L. Sacco', Sezione di Malattie Infettive e Immunopatologia, Università degli Studi di Milano, Milano, Italy
| | - Alberto Gandolfi
- Istituto di Analisi dei Sistemi ed Informatica 'A. Ruberti' - CNR, Roma, Italy
| | - Carmela Sinisgalli
- Istituto di Analisi dei Sistemi ed Informatica 'A. Ruberti' - CNR, Roma, Italy
| | - Claudia Balotta
- Dipartimento di Scienze Biomediche e Cliniche 'L. Sacco', Sezione di Malattie Infettive e Immunopatologia, Università degli Studi di Milano, Milano, Italy
| |
Collapse
|
10
|
Abstract
Understanding HIV-1 transmission dynamics is relevant to both screening and intervention strategies of HIV-1 infection. Commonly, HIV-1 transmission chains are determined based on sequence similarity assessed either directly from a sequence alignment or by inferring a phylogenetic tree. This review is aimed at both nonexperts interested in understanding and interpreting studies of HIV-1 transmission, and experts interested in finding the most appropriate cluster definition for a specific dataset and research question. We start by introducing the concepts and methodologies of how HIV-1 transmission clusters usually have been defined. We then present the results of a systematic review of 105 HIV-1 molecular epidemiology studies summarizing the most common methods and definitions in the literature. Finally, we offer our perspectives on how HIV-1 transmission clusters can be defined and provide some guidance based on examples from real life datasets.
Collapse
|
11
|
Parczewski M, Leszczyszyn-Pynka M, Witak-Jędra M, Szetela B, Gąsiorowski J, Knysz B, Bociąga-Jasik M, Skwara P, Grzeszczuk A, Jankowska M, Barałkiewicz G, Mozer-Lisewska I, Łojewski W, Kozieł K, Grąbczewska E, Jabłonowska E, Urbańska A. Expanding HIV-1 subtype B transmission networks among men who have sex with men in Poland. PLoS One 2017; 12:e0172473. [PMID: 28234955 PMCID: PMC5325290 DOI: 10.1371/journal.pone.0172473] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2016] [Accepted: 02/05/2017] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION Reconstruction of HIV transmission links allows to trace the spread and dynamics of infection and guide epidemiological interventions. The aim of this study was to characterize transmission networks among subtype B infected patients from Poland. MATERIAL AND METHODS Maximum likelihood phylogenenetic trees were inferred from 966 HIV-1 subtype B protease/reverse transcriptase sequences from patients followed up in nine Polish HIV centers. Monophyletic clusters were identified using 3% within-cluster distance and 0.9 bootstrap values. Interregional links for the clusters were investigated and time from infection to onward transmission estimated using Bayesian dated MCMC phylogeny. RESULTS Three hundred twenty one (33.2%) sequences formed 109 clusters, including ten clusters of ≥5 sequences (n = 81, 8.4%). Transmission networks were more common among MSM (234 sequences, 68.6%) compared to other infection routes (injection drug use: 28 (8.2%) and heterosexual transmissions: 59 (17.3%) cases, respectively [OR:3.5 (95%CI:2.6-4.6),p<0.001]. Frequency of clustering increased from 26.92% in 2009 to 50.6% in 2014 [OR:1.18 (95%CI:1.06-1.31),p = 0.0026; slope +2.8%/year] with median time to onward transmission within clusters of 1.38 (IQR:0.59-2.52) years. In multivariate models clustering was associated with both MSM transmission route [OR:2.24 (95%CI:1.38-3.65),p<0.001] and asymptomatic stage of HIV infection [OR:1.93 (95%CI:1.4-2.64),p<0.0001]. Additionally, interregional networks were linked to MSM transmissions [OR:4.7 (95%CI:2.55-8.96),p<0.001]. CONCLUSIONS Reconstruction of the HIV-1 subtype B transmission patterns reveals increasing degree of clustering and existence of interregional networks among Polish MSM. Dated phylogeny confirms the association between onward transmission and recent infections. High transmission dynamics among Polish MSM emphasizes the necessity for active testing and early treatment in this group.
Collapse
Affiliation(s)
- Miłosz Parczewski
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Magdalena Leszczyszyn-Pynka
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Magdalena Witak-Jędra
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Bartosz Szetela
- Department of Infectious Diseases, Hepatology and Acquired Immune Deficiencies, Wrocław Medical University, Wrocław, Poland
| | - Jacek Gąsiorowski
- Department of Infectious Diseases, Hepatology and Acquired Immune Deficiencies, Wrocław Medical University, Wrocław, Poland
| | - Brygida Knysz
- Department of Infectious Diseases, Hepatology and Acquired Immune Deficiencies, Wrocław Medical University, Wrocław, Poland
| | - Monika Bociąga-Jasik
- Department of Infectious Diseases, Jagiellonian University Medical College, Kraków, Poland
| | - Paweł Skwara
- Department of Infectious Diseases, Jagiellonian University Medical College, Kraków, Poland
| | - Anna Grzeszczuk
- Department of Infectious Diseases and Hepatology, Medical University of Bialystok, Białystok, Poland
| | - Maria Jankowska
- Department of Infectious Diseases, Medical University in Gdańsk, Gdańsk, Poland
| | | | - Iwona Mozer-Lisewska
- Department of Infectious Diseases, Poznań University of Medical Sciences, Poznań, Poland
| | - Władysław Łojewski
- Department of Infectious Diseases, Regional Hospital in Zielona Gora, Zielona Góra, Poland
| | - Katarzyna Kozieł
- Department of Infectious Diseases, Regional Hospital in Zielona Gora, Zielona Góra, Poland
| | - Edyta Grąbczewska
- Department of Infectious Diseases and Hepatology Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, Bydgoszcz, Poland
| | - Elżbieta Jabłonowska
- Department of Infectious Diseases and Hepatology, Medical University of Łódź, Łódź, Poland
| | - Anna Urbańska
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University in Szczecin, Szczecin, Poland
| |
Collapse
|
12
|
Smoleń-Dzirba J, Rosińska M, Kruszyński P, Bratosiewicz-Wąsik J, Wojtyczka R, Janiec J, Szetela B, Beniowski M, Bociąga-Jasik M, Jabłonowska E, Wąsik TJ, The Cascade Collaboration In EuroCoord A. Prevalence of Transmitted Drug-Resistance Mutations and Polymorphisms in HIV-1 Reverse Transcriptase, Protease, and gp41 Sequences Among Recent Seroconverters in Southern Poland. Med Sci Monit 2017; 23:682-694. [PMID: 28167814 PMCID: PMC5310230 DOI: 10.12659/msm.898656] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Background Monitoring of drug resistance-related mutations among patients with recent HIV-1 infection offers an opportunity to describe current patterns of transmitted drug resistance (TDR) mutations. Material/Methods Of 298 individuals newly diagnosed from March 2008 to February 2014 in southern Poland, 47 were deemed to have recent HIV-1 infection by the limiting antigen avidity immunoassay. Proviral DNA was amplified and sequenced in the reverse transcriptase, protease, and gp41 coding regions. Mutations were interpreted according to the Stanford Database algorithm and/or the International Antiviral Society USA guidelines. TDR mutations were defined according to the WHO surveillance list. Results Among 47 patients with recent HIV-1 infection only 1 (2%) had evidence of TDR mutation. No major resistance mutations were found, but the frequency of strains with ≥1 accessory resistance-associated mutations was high, at 98%. Accessory mutations were present in 11% of reverse transcriptase, 96% of protease, and 27% of gp41 sequences. Mean number of accessory resistance mutations in the reverse transcriptase and protease sequences was higher in viruses with no compensatory mutations in the gp41 HR2 domain than in strains with such mutations (p=0.031). Conclusions Despite the low prevalence of strains with TDR mutations, the frequency of accessory mutations was considerable, which may reflect the history of drug pressure among transmitters or natural viral genetic diversity, and may be relevant for future clinical outcomes. The accumulation of the accessory resistance mutations within the pol gene may restrict the occurrence of compensatory mutations related to enfuvirtide resistance or vice versa.
Collapse
Affiliation(s)
- Joanna Smoleń-Dzirba
- Department of Microbiology and Virology, School of Pharmacy with the Division of Laboratory Medicine in Sosnowiec, Medical University of Silesia, Katowice, Poland
| | - Magdalena Rosińska
- Department of Epidemiology, National Institute of Public Health - National Institute of Hygiene, Warsaw, Poland
| | - Piotr Kruszyński
- Department of Microbiology and Virology, School of Pharmacy with the Division of Laboratory Medicine in Sosnowiec, Medical University of Silesia, Katowice, Poland
| | - Jolanta Bratosiewicz-Wąsik
- Department of Biopharmacy, School of Pharmacy with the Division of Laboratory Medicine in Sosnowiec, Medical University of Silesia, Katowice, Poland
| | - Robert Wojtyczka
- Department of Microbiology and Virology, School of Pharmacy with the Division of Laboratory Medicine in Sosnowiec, Medical University of Silesia, Katowice, Poland
| | - Janusz Janiec
- Department of Epidemiology, National Institute of Public Health - National Institute of Hygiene, Warsaw, Poland
| | - Bartosz Szetela
- Department of Infectious Diseases, Hepatology, and Acquired Immune Deficiencies, Wrocław Medical University, Wrocław, Poland
| | - Marek Beniowski
- Outpatient Clinic for AIDS Diagnostics and Therapy, Specialistic Hospital in Chorzów, Chorzów, Poland
| | - Monika Bociąga-Jasik
- Department of Infectious Diseases, Jagiellonian University Medical College, Cracow, Poland
| | - Elżbieta Jabłonowska
- Department of Infectious Diseases and Hepatology, Medical University of Łódź, Łódź, Poland
| | - Tomasz J Wąsik
- Department of Microbiology and Virology, School of Pharmacy with the Division of Laboratory Medicine in Sosnowiec, Medical University of Silesia, Katowice, Poland
| | | |
Collapse
|
13
|
Parczewski M, Leszczyszyn-Pynka M, Urbańska A. Differences in the integrase and reverse transcriptase transmitted resistance patterns in Northern Poland. INFECTION GENETICS AND EVOLUTION 2016; 49:122-129. [PMID: 28017912 DOI: 10.1016/j.meegid.2016.12.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Revised: 12/15/2016] [Accepted: 12/21/2016] [Indexed: 02/08/2023]
Abstract
INTRODUCTION With the widespread introduction of the integrase (In) inhibitors into clinical practice, transmission of drug resistance to this class of antiretroviral medications may expand. The aim of this study was to analyze the recent patterns of In resistance in treatment naive individuals in Northern Poland and its association with transmitted protease (PR) and reverse transcriptase (RT) mutations. METHODS Study included 172 PR, RT and InI sequences from antiretroviral treatment naive HIV-1 infected patients linked to care in Northern Poland from 2010 to 2015. Drug resistance was interpreted based on the WHO surveillance and IAS-USA mutation lists. For phylogeny maximum likelihood and Bayesian Monte Carlo Markov Chain analyses were used. RESULTS Overall rate of transmitted drug resistance was 12.21%. Nucleoside reverse transcriptase inhibitor (NRTI) resistance associated substitutions were found in 11.05% of cases and non-nucleoside reverse transcriptase inhibitor resistance variants in 1.16%. In multivariate models transmitted resistance strongly associated with subtype D infections [66.67% compared to the 3.84% for subtype B (p=0.001)]. No transmission of major protease or integrase mutations were observed. Polymorphisms associated with resistance against integrase inhibitor, mostly E157Q, were found in 21.5% sequences and associated with female (31.91% vs. 15.2% for male, p=0.01), injection drug use (84.21% compared to 22.08% for heterosexual and 1.39% for men-who-have-sex-with-men transmissions, p<0.0001) as well as hepatitis C coinfection [63.64% for positive, versus 8.57% for HCV antibody negative, p<0.0001]. Clusters of nucleoside reverse transcriptase mutations in subtype D and integrase E157Q variants in subtype B were observed. CONCLUSIONS Transmitted drug resistance frequency was high in subtype D but limited to clustered NRTI mutations, being infrequent among subtype B infected cases. Despite lack of major integrase resistance in treatment naive patients, variants potentially affecting susceptibility to this class were common, which indicates the potential need for extended surveillance in the near future.
Collapse
Affiliation(s)
- Miłosz Parczewski
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University in Szczecin, Poland.
| | - Magdalena Leszczyszyn-Pynka
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University in Szczecin, Poland
| | - Anna Urbańska
- Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University in Szczecin, Poland
| |
Collapse
|
14
|
Recent Transmission Clustering of HIV-1 C and CRF17_BF Strains Characterized by NNRTI-Related Mutations among Newly Diagnosed Men in Central Italy. PLoS One 2015; 10:e0135325. [PMID: 26270824 PMCID: PMC4535860 DOI: 10.1371/journal.pone.0135325] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Accepted: 07/21/2015] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Increased evidence of relevant HIV-1 epidemic transmission in European countries is being reported, with an increased circulation of non-B-subtypes. Here, we present two recent HIV-1 non-B transmission clusters characterized by NNRTI-related amino-acidic mutations among newly diagnosed HIV-1 infected men, living in Rome (Central-Italy). METHODS Pol and V3 sequences were available at the time of diagnosis for all individuals. Maximum-Likelihood and Bayesian phylogenetic-trees with bootstrap and Bayesian-probability supports defined transmission-clusters. HIV-1 drug-resistance and V3-tropism were also evaluated. RESULTS Among 534 new HIV-1 non-B cases, diagnosed from 2011 to 2014, in Central-Italy, 35 carried virus gathering in two distinct clusters, including 27 HIV-1 C and 8 CRF17_BF subtypes, respectively. Both clusters were centralized in Rome, and their origin was estimated to have been after 2007. All individuals within both clusters were males and 37.1% of them had been recently-infected. While C-cluster was entirely composed by Italian men-who-have-sex-with-men, with a median-age of 34 years (IQR:30-39), individuals in CRF17_BF-cluster were older, with a median-age of 51 years (IQR:48-59) and almost all reported sexual-contacts with men and women. All carried R5-tropic viruses, with evidence of atypical or resistance amino-acidic mutations related to NNRTI-drugs (K103Q in C-cluster, and K101E+E138K in CRF17_BF-cluster). CONCLUSIONS These two epidemiological clusters provided evidence of a strong and recent circulation of C and CRF17_BF strains in central Italy, characterized by NNRTI-related mutations among men engaging in high-risk behaviours. These findings underline the role of molecular epidemiology in identifying groups at increased risk of HIV-1 transmission, and in enhancing additional prevention efforts.
Collapse
|