Transmitted drug resistance and transmission clusters among HIV-1 treatment-naive patients in Guangdong, China: a cross-sectional study

被引:23
作者
Lan, Yun [1 ]
Li, Linghua [1 ]
He, Xiang [3 ]
Hu, Fengyu [1 ]
Deng, Xizi [1 ]
Cai, Weiping [1 ]
Li, Junbin [2 ]
Ling, Xuemei [1 ,2 ]
Fan, Qinghong [1 ]
Cai, Xiaoli [1 ]
Li, Liya [1 ]
Li, Feng [1 ]
Tang, Xiaoping [1 ]
机构
[1] Guangzhou Med Univ, Guangzhou Peoples Hosp 8, 627 Dongfeng East Rd, Guangzhou 510060, Peoples R China
[2] Guangdong Ctr Diag & Treatment AIDS, 627 Dongfeng East Rd, Guangzhou 510060, Peoples R China
[3] Guangdong Prov Ctr Dis Control & Prevent, Guangdong Prov Inst Publ Hlth, 160 Qunxian Rd, Guangzhou 511430, Peoples R China
基金
中国国家自然科学基金;
关键词
HIV-1; Transmitted drug resistance; Transmission cluster; Guangdong; 1ST-LINE ANTIRETROVIRAL THERAPY; INFECTED INDIVIDUALS; ADULTS; PERFORMANCE; SEQUENCES;
D O I
10.1186/s12985-021-01653-6
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background Transmitted drug resistance (TDR) that affects the effectiveness of the first-line antiretroviral therapy (ART) regimen is becoming prevalent worldwide. However, its prevalence and transmission among HIV-1 treatment-naive patients in Guangdong, China are rarely reported. We aimed to comprehensively analyze the prevalence of TDR and the transmission clusters of HIV-1 infected persons before ART in Guangdong. Methods The HIV-1 treatment-naive patients were recruited between January 2018 and December 2018. The HIV-1 pol region was amplified by reverse transcriptional PCR and sequenced by sanger sequencing. Genotypes, surveillance drug resistance mutations (SDRMs) and TDR were analyzed. Genetic transmission clusters among patients were identified by pairwise Tamura-Nei 93 genetic distance, with a threshold of 0.015. Results A total of 2368 (97.17%) HIV-1 pol sequences were successfully amplified and sequenced from the enrolled 2437 patients. CRF07_BC (35.90%, 850/2368), CRF01_AE (35.56%, 842/2368) and CRF55_01B (10.30%, 244/2368) were the main HIV-1 genotypes circulating in Guangdong. Twenty-one SDRMs were identified among fifty-two drug-resistant sequences. The overall prevalence of TDR was 2.20% (52/2368). Among the 2368 patients who underwent sequencing, 8 (0.34%) had TDR to protease inhibitors (PIs), 22 (0.93%) to nucleoside reverse transcriptase inhibitors (NRTIs), and 23 (0.97%) to non-nucleoside reverse transcriptase inhibitors (NNRTIs). Two (0.08%) sequences showed dual-class resistance to both NRTIs and NNRTIs, and no sequences showed triple-class resistance. A total of 1066 (45.02%) sequences were segregated into 194 clusters, ranging from 2 to 414 sequences. In total, 15 (28.85%) of patients with TDR were included in 9 clusters; one cluster contained two TDR sequences with the K103N mutation was observed. Conclusions There is high HIV-1 genetic heterogeneity among patients in Guangdong. Although the overall prevalence of TDR is low, it is still necessary to remain vigilant regarding some important SDRMs.
引用
收藏
页数:9
相关论文
共 33 条
[1]   Approximate likelihood-ratio test for branches: A fast, accurate, and powerful alternative [J].
Anisimova, Maria ;
Gascuel, Olivier .
SYSTEMATIC BIOLOGY, 2006, 55 (04) :539-552
[2]   Drug Resistance Mutations for Surveillance of Transmitted HIV-1 Drug-Resistance: 2009 Update [J].
Bennett, Diane E. ;
Camacho, Ricardo J. ;
Otelea, Dan ;
Kuritzkes, Daniel R. ;
Fleury, Herve ;
Kiuchi, Mark ;
Heneine, Walid ;
Kantor, Rami ;
Jordan, Michael R. ;
Schapiro, Jonathan M. ;
Vandamme, Anne-Mieke ;
Sandstrom, Paul ;
Boucher, Charles A. B. ;
van de Vijver, David ;
Rhee, Soo-Yon ;
Liu, Tommy F. ;
Pillay, Deenan ;
Shafer, Robert W. .
PLOS ONE, 2009, 4 (03)
[3]   HIV Viral Load and Transmissibility of HIV Infection Undetectable Equals Untransmittable [J].
Eisinger, Robert W. ;
Dieffenbach, Carl W. ;
Fauci, Anthony S. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2019, 321 (05) :451-452
[4]   British HIV Association guidelines for the treatment of HIV-1-infected adults with antiretroviral therapy 2008 [J].
Gazzard, B. G. .
HIV MEDICINE, 2008, 9 (08) :563-608
[5]   New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0 [J].
Guindon, Stephane ;
Dufayard, Jean-Francois ;
Lefort, Vincent ;
Anisimova, Maria ;
Hordijk, Wim ;
Gascuel, Olivier .
SYSTEMATIC BIOLOGY, 2010, 59 (03) :307-321
[6]   Defining HIV-1 transmission clusters based on sequence data [J].
Hassan, Amin S. ;
Pybus, Oliver G. ;
Sanders, Eduard J. ;
Albert, Jan ;
Esbjornsson, Joakim .
AIDS, 2017, 31 (09) :1211-1222
[7]   A Comprehensive Mapping of HIV-1 Genotypes in Various Risk Groups and Regions across China Based on a Nationwide Molecular Epidemiologic Survey [J].
He, Xiang ;
Xing, Hui ;
Ruan, Yuhua ;
Hong, Kunxue ;
Cheng, Chunlin ;
Hu, Yuanyuan ;
Xin, Ruolei ;
Wei, Jing ;
Feng, Yi ;
Hsi, Jenny H. ;
Takebe, Yutaka ;
Shao, Yiming .
PLOS ONE, 2012, 7 (10)
[8]  
Hicks Charles B, 2008, AIDS Clin Care, V20, P64
[9]   Initial Virologic Response and HIV Drug Resistance Among HIV-Infected Individuals Initiating First-line Antiretroviral Therapy at 2 Clinics in Chennai and Mumbai, India [J].
Hingankar, Nitin K. ;
Thorat, Smita R. ;
Deshpande, Alaka ;
Rajasekaran, S. ;
Chandrasekar, C. ;
Kumar, Suria ;
Srikantiah, Padmini ;
Chaturbhuj, Devidas N. ;
Datkar, Sharda R. ;
Deshmukh, Pravin S. ;
Kulkarni, Smita S. ;
Sane, Suvarna ;
Reddy, D. C. S. ;
Garg, Renu ;
Jordan, Michael R. ;
Kabra, Sandhya ;
Tripathy, Srikanth P. ;
Paranjape, Ramesh S. .
CLINICAL INFECTIOUS DISEASES, 2012, 54 :S348-S354
[10]   Transmitted drug resistance among HIV-1 drug-naive patients in Greece [J].
Kantzanou, Maria ;
Karalexi, Maria A. ;
Papachristou, Helen ;
Vasilakis, Alexis ;
Rokka, Chrysoula ;
Katsoulidou, Antigoni .
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2021, 105 :42-48