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Wang Z, Jiang H, Pang X, Li J, Liang S, Huang J, Li D, Hou W, Chen N, Lan G. Exploring disparities in HIV-1 pretreatment and acquired drug resistance in China from 2003 to 2022. J Antimicrob Chemother 2024; 79:2575-2585. [PMID: 39045823 DOI: 10.1093/jac/dkae260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 07/08/2024] [Indexed: 07/25/2024] Open
Abstract
OBJECTIVES To investigate the epidemic patterns of pretreatment drug resistance (PDR) and acquired drug resistance (ADR) in HIV-1 sequences from China. METHODS HIV-1 pol sequences and associated epidemiological data were collected from the Los Alamos HIV Sequence Database, NCBI, HIV Gene Sequence Database and PubMed. Genotypic resistance and subtypes were identified using the Stanford HIV Drug Resistance Database. RESULTS A total of 36 263 sequences from ART-naïve individuals and 1548 sequences from ART-experienced individuals with virological failure were evaluated. PDR prevalence was 6.64%, initially decreasing and then increasing to 7.84% (2018-22) due to NNRTI. Pooled ADR prevalence (44.96%) increased, with NNRTI and NRTI aligning with the overall trend. The percentage of multidrug resistance was more than that of single-drug resistance in PDR and especially ADR annually. PDR was most prevalent in Central China followed by Southwest and North. ADR prevalence was highest in North China followed by Northwest and Southwest. In ADR sequences, high-level resistance was more common, especially in NRTI. PDR sequences exhibited low-level or intermediate resistance, especially PI. Drug resistance mutations revealed distinct patterns in PDR and ADR. CRF01_AE, the predominant subtype in China, exhibited the highest proportions among most ART drugs and drug resistance mutations, with a few exceptions where CRF07_BC (prominent in the Northwest), CRF55_01B and CRF08_BC (prominent in the Southwest) showed the highest proportions. CONCLUSIONS HIV-1 PDR and ADR prevalence in China exhibited diverse epidemiological characteristics, underscoring the importance of ongoing national monitoring of PDR, ADR and subtype; patient education on adherence; and personalized regimens.
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Affiliation(s)
- Zhaoquan Wang
- Graduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China
| | - He Jiang
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Xianwu Pang
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Jianjun Li
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Shujia Liang
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Jinghua Huang
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Dejian Li
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Wenxuan Hou
- Graduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China
| | - Ni Chen
- Graduate School, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Guanghua Lan
- Graduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
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Wang Y, Yang C, Jin X, Chen H, Zhu Q, Dai J, Dong L, Yang M, Sun P, Cao R, Jia M, Ma Y, Chen M. HIV-1 Molecular Networks and Pretreatment Drug Resistance at the Frontier of Yunnan Province, China. AIDS Res Hum Retroviruses 2024. [PMID: 38959124 DOI: 10.1089/aid.2023.0124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2024] Open
Abstract
The border areas of Yunnan Province in China are severely affected by human immunodeficiency virus (HIV). To investigate the risk of HIV transmission and assess the prevalence of pretreatment drug resistance (PDR) in the border area, blood samples were collected from individuals with newly reported HIV in 2021 in three border counties (Cangyuan, Gengma, and Zhenkang) in Yunnan Province. Among the 174 samples successfully genotyped, eight circulating recombinant forms (CRFs), two subtypes, and several unique recombinant forms (URFs) were identified. CRF08_BC (56.9%, 99/174), URFs (14.4%, 25/174), CRF01_AE (10.9%, 19/174), and CRF07_BC (8.0%, 14/174) were the main genotypes. CRF08_BC and URFs were detected more frequently in Chinese and Burmese individuals, respectively. CRF07_BC was found more frequently in men who have sex with men. The proportion of individuals detected in HIV-1 networks was only associated with case-reporting counties. When stratified by county, individuals aged ≤40 years in Cangyuan and ≥41 years in Gengma were more likely to be found in these networks. Furthermore, 93.8% (15/16) of the links in Cangyuan and 79.4% (50/63) of those in Gengma were located within their own counties. The prevalence of PDR to any antiretroviral drug, nucleoside reverse transcriptase inhibitors (NRTIs), and non-nucleoside reverse transcriptase inhibitors (NNRTIs) were 10% (17/170), 0.6% (1/170), and 9.4% (16/170), respectively. The most frequent resistance-associated mutations (RAMs) were V179D/VD/E/T (22.9%, 39/170) and E138A/G/K/R (13.5%, 23/170). In the molecular networks, six clusters shared common RAMs. HIV-1 genetics has become more diverse in border areas. HIV-1 molecular network analysis revealed the different characteristics of the HIV-1 epidemic in the border counties. The prevalence of PDR showed an upward trend, and the PDR to NNRTIs was close to the public response threshold. These findings provide information for the development of AIDS prevention and treatment strategies.
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Affiliation(s)
- Yawen Wang
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China
| | - Cuiyun Yang
- Division for AIDS/STD Control and Prevention, Lincang Center for Disease Control and Prevention, Lincang, China
| | - Xiaomei Jin
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Huichao Chen
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Qiongmei Zhu
- Division for AIDS/STD Control and Prevention, Lincang Center for Disease Control and Prevention, Lincang, China
| | - Jie Dai
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Lijuan Dong
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Min Yang
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Pengyan Sun
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Rui Cao
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China
| | - Manhong Jia
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Yanling Ma
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Min Chen
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & Health Laboratory Center, Yunnan Center for Disease Control and Prevention, Kunming, China
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Liu J, Liu C, Wang Y, Wei S, Ma J, Li Y, Chen X, Zhao Q, Huo Y. Increased prevalence of pretreatment drug resistance mutations in treatment-naïve people living with HIV-1 in Henan Province, China (2022/23). INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2023; 115:105520. [PMID: 37898414 DOI: 10.1016/j.meegid.2023.105520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 10/19/2023] [Accepted: 10/25/2023] [Indexed: 10/30/2023]
Abstract
Human deficiency virus type 1 (HIV-1) harboring drug resistance mutations (DRMs) before the initiation of antiretroviral therapy (ART) poses a serious threat to the efficacy of current ART regimens. Currently, the prevalence of pre-treatment drug resistance mutations (PDRMs) including transmitted DRMs (TDRMs) is not completely clear. Understanding this prevalence better should offer valuable data for clinical- and government-level decision-making. To closely monitor the PDRM trend in treatment-naïve people living with HIV/AIDS (PLWHA) in Henan Province, China, plasma samples from the patients seeking treatments at our hospital from January 2022 to February 2023 were collected for genotypic drug resistance testing. From the 645 patients whose samples were collected, partial pol and integrase gene sequences were obtained from 637 patients. Subtyping analysis indicated that the top-three most common subtypes, in descending order, were CRF07_BC (41.76%, 266/637), CRF01_AE (28.26%, 180/637), and B (20.41%, 130/637). PDRMs were observed in 5.18% (33/637), 6.28% (40/637), 0.31% (2/637), and 2.83% (18/637) cases for nucleoside reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs), protease inhibitors (PIs), and integrase strand transfer inhibitors (INSTIs), respectively; all these medications contributed to an overall PDRM prevalence of 11.93% (76/637). On analyzing individual PDRMs, we noted that the most commonly observed mutation(s) were K103S/N (3.77%, 24/637), M184I/V (3.14%, 20/637), followed by K65R (1.26%, 8/637), and V106A/M (1.10%, 7/637). PDRM prevalence in ART-naïve PLWHA of Henan Province is high and increased compared with that noted in previous years. However, evidence of cluster-linked outbreaks of PDRMs is lacking, suggesting that measures such as education about adherence and improved treatment strategies with a low incidence of failure can effectively reduce PDRM prevalence.
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Affiliation(s)
- Jinjin Liu
- The Sixth People's Hospital of Zhengzhou, Zhengzhou 450000, China
| | - Chunli Liu
- The Sixth People's Hospital of Zhengzhou, Zhengzhou 450000, China
| | - Yanli Wang
- The Sixth People's Hospital of Zhengzhou, Zhengzhou 450000, China
| | - Shuguang Wei
- The Sixth People's Hospital of Zhengzhou, Zhengzhou 450000, China
| | - Jie Ma
- The Sixth People's Hospital of Zhengzhou, Zhengzhou 450000, China
| | - Yuanyuan Li
- The Sixth People's Hospital of Zhengzhou, Zhengzhou 450000, China
| | - Xuhui Chen
- The Sixth People's Hospital of Zhengzhou, Zhengzhou 450000, China
| | - Qingxia Zhao
- The Sixth People's Hospital of Zhengzhou, Zhengzhou 450000, China.
| | - Yuqi Huo
- The Sixth People's Hospital of Zhengzhou, Zhengzhou 450000, China.
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Su B, Gao G, Wang M, Lu Y, Li L, Chen C, Chen Y, Song C, Yu F, Li Y, Liu Y, Luo Y, He H, Cheng C, Xu L, Zhang T, Sun L, Liu A, Xia W, Qin Y, Zhao Q, Wei H, Cai W, Chen Y, Zhang F, Wu H. Efficacy and safety of ainuovirine versus efavirenz combination therapies with lamivudine/tenofovir disoproxil fumarate for medication of treatment-naïve HIV-1-positive adults: week 48 results of a randomized controlled phase 3 clinical trial followed by an open-label setting until week 96. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 36:100769. [PMID: 37547039 PMCID: PMC10398592 DOI: 10.1016/j.lanwpc.2023.100769] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 03/29/2023] [Indexed: 08/08/2023]
Abstract
Background Ainuovirine (ANV) is a new non-nucleoside reverse transcriptase inhibitor (NNRTI), which was initially synthesized in Korea and later further developed in both Korea and China. Methods A randomized, double-blind, double-dummy, positive parallel group, non-inferiority, phase 3 trial was conducted in 7 sites across China. Eligible HIV-1-positive antiretroviral therapy (ART)-naïve adults aged 18-65 years were randomly assigned in a 1:1 ratio to receive tenofovir disoproxil fumarate and lamivudine (TDF+3TC) in combination with either ANV (ANV group) or efavirenz (EFV group) for up to 48 weeks. Subsequently, participants in both groups received one of the two drug combinations according to their choice until week 96 in an observational study under an open-label setting. The primary endpoint was the proportion of participants achieving HIV RNA <50 copies/mL at week 48, with non-inferiority pre-specified at a margin of 10%. The secondary efficacy endpoints were logarithmic changes in HIV RNA, percentage of participants with HIV RNA levels ≤400 copies/mL and changes in the CD4 T-cell count after 48 and 96 weeks of treatment, as well as the percentage of participants with HIV RNA levels <50 copies/mL at 96 weeks of treatment. Safety endpoints were the incidence of adverse events and laboratory abnormalities evaluated according to the Division of AIDS criteria. This study was registered with the Chinese Clinical Trial Registry (Registration number: ChiCTR1800019041). Findings Between November 27, 2018 and March 11, 2021, a total of 826 participants were screened, and 630 were finally enrolled and randomly assigned (1:1) to either ANV (n = 315) or EFV (n = 315) groups. The mean age was 30.6 ± 9.4 years and most participants were male (94.6%). At week 48, 274 (87.0%) of 315 participants in the ANV group and 288 (91.7%) of 314 in the EFV group achieved HIV-1 RNA <50 copies/mL and non-inferiority was established (difference: -4.7%, 95% CI: -9.6 to 0.1%). In the period, 293 participants continued to take the ANV regimen and 287 switched from the EFV to the ANV regimen. During the open-label period, 92.5% (271/293) of participants in the continued ANV group and 95.1% (273/287) in the ANV to EFV transfer group remained virologically suppressed (HIV-1 RNA <50 copies/mL) at week 96 (p = 0.189). The incidence of NNRTI treatment-related adverse events (TEAEs) at week 48 was 67.6% in 315 participants in the ANV group, which was significantly lower than in 91.4% of 314 participants in the EFV group (p < 0.001). The most common TEAEs (weeks 0-48) were dizziness (10.5%) and dyslipidemia (22.2%) in the ANV group vs. 51.0% and 34.4% in the EFV group, respectively, followed by transaminase elevation (9.2% vs. 29.0%), γ-glutamyl transferase elevation (8.3% vs. 19.1%), and rash (7.9% vs. 18.8%) (all p < 0.001). After switching from EFV to ANV, TEAEs in the former EFV participants were significantly reduced in the following observational period of 48-96 weeks. Interpretation The week 48 results indicated that the efficacy of ANV was non-inferior to EFV when combined with two NRTIs. The per-protocol risk difference at week 48 for the primary endpoint also supported non-inferiority. TEAEs in ANV treated participants were less frequent with regard to liver toxicity, dyslipidemia, neuropsychiatric symptoms and rash compared to the EFV group during the first 48 weeks of therapy. The effects were maintained during the 48-96 weeks of therapy. Funding Jiangsu Aidea Pharmaceutical Co., Ltd.
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Affiliation(s)
- Bin Su
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Guiju Gao
- Clinical and Research Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Min Wang
- Institute of HIV/AIDS, The First Hospital of Changsha, Changsha, Hunan, 410005, China
| | - Yanqiu Lu
- Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, 400036, China
| | - Linghua Li
- Infectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510060, China
| | - Chen Chen
- Department of Infectious Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 210003, China
| | - Yuanyuan Chen
- Department of Infectious Diseases, Infectious Disease Hospital of Henan Province, Zhengzhou, Henan, 450015, China
| | - Chuan Song
- Clinical and Research Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Fengting Yu
- Clinical and Research Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Ying Li
- Institute of HIV/AIDS, The First Hospital of Changsha, Changsha, Hunan, 410005, China
| | - Yixin Liu
- Institute of HIV/AIDS, The First Hospital of Changsha, Changsha, Hunan, 410005, China
| | - Yang Luo
- Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, 400036, China
| | - Haolan He
- Infectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510060, China
| | - Cong Cheng
- Department of Infectious Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 210003, China
| | - Lixia Xu
- Department of Infectious Diseases, Infectious Disease Hospital of Henan Province, Zhengzhou, Henan, 450015, China
| | - Tong Zhang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Lijun Sun
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - An Liu
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Wei Xia
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Yuanyuan Qin
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
- Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, 400036, China
| | - Qingxia Zhao
- Department of Infectious Diseases, Infectious Disease Hospital of Henan Province, Zhengzhou, Henan, 450015, China
| | - Hongxia Wei
- Department of Infectious Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 210003, China
| | - Weiping Cai
- Infectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510060, China
| | - Yaokai Chen
- Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, 400036, China
| | - Fujie Zhang
- Clinical and Research Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Hao Wu
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
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Su Y, Qi M, Zhong M, Yu N, Chen C, Ye Z, Cheng C, Hu Z, Zhang H, Wei H. Prevalence of HIV Transmitted Drug Resistance in Nanjing from 2018 to 2021. Infect Drug Resist 2023; 16:735-745. [PMID: 36756611 PMCID: PMC9901445 DOI: 10.2147/idr.s391296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 12/16/2022] [Indexed: 02/05/2023] Open
Abstract
Background Transmitted drug resistance (TDR) is a major challenge in the clinical management of acquired immunodeficiency syndrome (AIDS). Therefore, this study aimed to investigate the epidemic characteristics of and risk factors for human immunodeficiency virus (HIV)-1 TDR in Nanjing from 2018 to 2021 to provide support for clinical management. Methods The HIV-1 Pol gene was amplified by nested reverse transcription polymerase chain reaction from venous blood of 1190 HIV-infected patients who did not receive antiviral therapy, and the amplified product was sequenced using an in-house sequencing method. The sequencing result was compared with the HIV drug resistance database from Stanford University to elucidate the rates of antiviral drug resistance and distribution of drug-resistant mutation sites. Factors associated with TDR were evaluated using a logistic regression model. Results Detection of drug resistance at the gene level was successful in 1138 of 1190 HIV-1-infected patients (95.6%), and the overall 4-year drug resistance rate was 8.2% (93/1138). The drug resistance rate was higher for non-nucleoside reverse transcriptase inhibitors (NNRTIs; 6.7%) than for nucleoside reverse transcriptase inhibitors (NRTIs; 2.5%) or protease inhibitors (PIs; 0.1%) (χ 2 = 83.907, P<0.0001). The most common NNRTI-related mutation was V179D/E followed by K103N. M184V was the dominant NRTI-associated mutation, and M46L/I was the most prevalent PI-associated mutation. A CD4+ T cell count of <50 cells/μL was significantly associated with an increased risk of TDR (OR=3.62, 95% CI: 1.38-9.51, P=0.009). Conclusion The prevalence of TDR in the city of Nanjing from 2018 to 2021 was at a moderate epidemic risk according to World Health Organization standards. Continuous monitoring of TDR can inform clinical diagnosis and treatment. Patients with advanced disease and a low CD4+ T lymphocyte count are more likely to have TDR in Nanjing.
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Affiliation(s)
- Yifan Su
- Department of Infectious Disease, The Second Hospital of Nanjing Affiliated to Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
| | - Mingxue Qi
- Department of Infectious Disease, The Second Hospital of Nanjing Affiliated to Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
| | - Mingli Zhong
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Nawei Yu
- Department of Infectious Disease, The Second Hospital of Nanjing Affiliated to Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
| | - Chen Chen
- Department of Infectious Disease, The Second Hospital of Nanjing Affiliated to Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
| | - Zi Ye
- Department of Infectious Disease, The Second Hospital of Nanjing Affiliated to Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
| | - Cong Cheng
- Department of Infectious Disease, The Second Hospital of Nanjing Affiliated to Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
| | - Zhiliang Hu
- Department of Infectious Disease, The Second Hospital of Nanjing Affiliated to Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
| | - Hongying Zhang
- Nanjing Center for Disease Control and Prevention Affiliated with Nanjing Medical University, Nanjing, People’s Republic of China,Hongying Zhang, Email
| | - Hongxia Wei
- Department of Infectious Disease, The Second Hospital of Nanjing Affiliated to Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China,Correspondence: Hongxia Wei, Department of Infectious Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 210003, People’s Republic of China, Email
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Liu P, You Y, Liao L, Feng Y, Shao Y, Xing H, Lan G, Li J, Ruan Y, Li D. Impact of low-level viremia with drug resistance on CD4 cell counts among people living with HIV on antiretroviral treatment in China. BMC Infect Dis 2022; 22:426. [PMID: 35509014 PMCID: PMC9066819 DOI: 10.1186/s12879-022-07417-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 04/26/2022] [Indexed: 11/14/2022] Open
Abstract
Background Maintaining plasma HIV RNA suppression below the limit of quantification is the goal of antiretroviral therapy (ART). When viral loads (VL) remain in low-level viremia (LLV), or between 201 and 999 copies/mL, the clinical consequences are still not clear. We investigated the occurrence of LLV with drug resistance and its effect on CD4 cell counts in a large Chinese cohort. Methods We analysed data of 6,530 ART-experienced patients (42.1 ± 10.9 years; 37.3% female) from the China’s national HIV drug resistance (HIVDR) surveillance database. Participants were followed up for 32.9 (IQR 16.7–50.5) months. LLV was defined as the occurrence of at least one viral load (VL) measurement of 50–200 copies/mL during ART. Outcomes were drug resistance associated mutations (DRAM) and CD4 cell counts levels. Results Among 6530 patients, 58.0% patients achieved VL less than 50 copies/mL, 27.8% with VL between 50 and 999 copies/mL (8.6% experienced LLV), and 14.2% had a VL ≥ 1000 copies/mL. Of 1818 patients with VL 50–999 copies/mL, 182 (10.0%) experienced HIVDR, the most common DRAM were M184I/V 28.6%, K103N 19.2%, and V181C/I/V 10.4% (multidrug resistance: 27.5%), and patients with HIVDR had a higher risk of CD4 cell counts < 200 cells/μL (AOR 3.8, 95% CI 2.6–5.5, p < 0.01) comparing with those without HIVDR. Of 925 patients with VL ≥ 1000 copies/mL, 495 (53.5%) acquired HIVDR, the most common DRAM were K103N 43.8%, M184I/V 43.2%, M41L 19.0%, D67N/G 16.4%, V181C/I/V 14.5%, G190A/S 13.9% and K101E 13.7% (multidrug resistance: 75.8%), and patients with HIVDR had a higher risk of CD4 cell counts < 200 cells/μL (AOR 5.8, 95% CI 4.6–7.4, p < 0.01) comparing with those without HIVDR. Conclusion Persistent with VL 50–999 copies/mL on ART is associated with emerging DRAM for all drug classes, and patients in this setting were at increased risk of CD4 cell counts < 200 cells/μL, which suggest resistance monitoring and ART optimization be earlier considered.
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Affiliation(s)
- Pengtao Liu
- Weifang Medical University, Weifang, People's Republic of China
| | - Yinghui You
- Weifang Medical University, Weifang, People's Republic of China
| | - Lingjie Liao
- State Key Laboratory for Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 155 Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Yi Feng
- State Key Laboratory for Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 155 Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Yiming Shao
- State Key Laboratory for Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 155 Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Hui Xing
- State Key Laboratory for Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 155 Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Guanghua Lan
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Jianjun Li
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Yuhua Ruan
- State Key Laboratory for Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 155 Changbai Road, Changping District, Beijing, 102206, People's Republic of China.,Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Dan Li
- State Key Laboratory for Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, 155 Changbai Road, Changping District, Beijing, 102206, People's Republic of China.
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Cai D, Sun Y. Reconstructing viral haplotypes using long reads. Bioinformatics 2022; 38:2127-2134. [PMID: 35157018 DOI: 10.1093/bioinformatics/btac089] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/19/2022] [Accepted: 02/08/2022] [Indexed: 02/03/2023] Open
Abstract
MOTIVATION Most RNA viruses lack strict proofreading during replication. Coupled with a high replication rate, some RNA viruses can form a virus population containing a group of genetically related but different haplotypes. Characterizing the haplotype composition in a virus population is thus important to understand viruses' evolution. Many attempts have been made to reconstruct viral haplotypes using next-generation sequencing (NGS) reads. However, the short length of NGS reads cannot cover distant single-nucleotide variants, making it difficult to reconstruct complete or near-complete haplotypes. Given the fast developments of third-generation sequencing technologies, a new opportunity has arisen for reconstructing full-length haplotypes with long reads. RESULTS In this work, we developed a new tool, RVHaplo to reconstruct haplotypes for known viruses from long reads. We tested it rigorously on both simulated and real viral sequencing data and compared it against other popular haplotype reconstruction tools. The results demonstrated that RVHaplo outperforms the state-of-the-art tools for viral haplotype reconstruction from long reads. Especially, RVHaplo can reconstruct the rare (1% abundance) haplotypes that other tools usually missed. AVAILABILITY AND IMPLEMENTATION The source code and the documentation of RVHaplo are available at https://github.com/dhcai21/RVHaplo. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Dehan Cai
- Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
| | - Yanni Sun
- Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
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Xu X, Luo L, Song C, Li J, Chen H, Zhu Q, Lan G, Liang S, Shen Z, Cao Z, Feng Y, Liao L, Xing H, Shao Y, Ruan Y. Survey of pretreatment HIV drug resistance and the genetic transmission networks among HIV-positive individuals in southwestern China, 2014-2020. BMC Infect Dis 2021; 21:1153. [PMID: 34772365 PMCID: PMC8590229 DOI: 10.1186/s12879-021-06847-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 11/03/2021] [Indexed: 11/10/2022] Open
Abstract
Background Pretreatment drug resistance (PDR) can limit the effectiveness of HIV antiretroviral therapy (ART). The aim of this study was to assess the prevalence of PDR among HIV-positive individuals that initiated antiretroviral therapy in 2014–2020 in southwestern China. Methods Consecutive cross-sectional surveys were conducted in Qinzhou, Guangxi. We obtained blood samples from individuals who were newly diagnosed with HIV in 2014–2020. PDR and genetic networks analyses were performed by HIV-1 pol sequences using the Stanford HIV-database algorithm and HIV-TRACE, respectively. Univariate and multivariate logistic regression models were used to explore the potential factors associated with PDR. Results In total, 3236 eligible HIV-positive individuals were included. The overall prevalence of PDR was 6.0% (194/3236). The PDR frequency to NNRTI (3.3%) was much higher than that of NRTI (1.7%, p < 0.001) and PI (1.2%, p < 0.001). A multivariate logistic regression analysis revealed that PDR was significantly higher among individuals aged 18–29 (adjusted odds ratio (aOR): 1.79, 95% CI 1.28–2.50) or 30–49 (aOR: 2.82, 95% CI 1.73–4.82), and harboring CRF08_BC (aOR: 3.23, 95% CI 1.58–6.59). A total of 1429 (43.8%) sequences were linked forming transmission clusters ranging in size from 2 to 119 individuals. Twenty-two individuals in 10 clusters had the same drug resistant mutations (DRMs), mostly to NNRTIs (50%, 5/10). Conclusions The overall prevalence of PDR was medium, numerous cases of the same DRMs among genetically linked individuals in networks further illustrated the importance of surveillance studies for mitigating PDR. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-021-06847-5.
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Affiliation(s)
- Xiaoshan Xu
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Liuhong Luo
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, 530028, China
| | - Chang Song
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Jianjun Li
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, 530028, China
| | - Huanhuan Chen
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, 530028, China
| | - Qiuying Zhu
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, 530028, China
| | - Guanghua Lan
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, 530028, China
| | - Shujia Liang
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, 530028, China
| | - Zhiyong Shen
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, 530028, China
| | - Zhiqiang Cao
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yi Feng
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Lingjie Liao
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Hui Xing
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yiming Shao
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yuhua Ruan
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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