Increasing prevalence of HIV-1 Transmitted Drug Resistance in Portugal: implications for first line treatment recommendations

AbstractBackgroundTreatment for all recommendations has allowed access to antiretroviral (ARV) treatment to an increasing number of patients. This minimizes transmission of infection but can potentiate the risk for development of transmitted drug resistance (TDR) and acquired drug resistance (ADR).ObjectiveTo study the trends of TDR and ADR in patients followed in Portuguese hospitals between 2001 and 2017.Method11911 patients of the Portuguese REGA database were included. TDR was defined as the presence of one or more surveillance drug resistance mutations according to the WHO surveillance list. Phenotypic resistance to ARV was evaluated with Standford HIVdb v7.0. Patterns of TDR, ADR and prevalence of mutations over time were analysed with logistic regression.ResultsThe prevalence of TDR increased from 7.9% in 2003 to 13.1% in 2017 (pfor-trend<0.001). This was due to a significant increase of both resistance mutations to nucleotide reverse transcriptase inhibitors (NRTIs) and non-nucleotide reverse transcriptase inhibitors (NNRTIs) from 5.6% to 6.7% (pfor-trend=0.002) and 2.9% to 8.9% (pfor-trend<0.001), respectively. TDR to Protease Inhibitors decreased from 4.0% in 2003 to 2.2 in 2017 (pfor-trend =0.985). Paradoxically, the prevalence of ADR declined from 86.6% in 2001 to 51.0% in 2017 (pfor-trend<0.001) caused by a declining drug resistance to all ARV classes (pfor-trend<0.001).ConclusionsWhile ADR is declining since 2001, TDR has been increasing, reaching a value of 13.1% by the end of 2017. It is urgent to develop public health programs to monitor levels and patterns of TDR in newly diagnosed patients.

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Increasing Prevalence of HIV-1 Transmitted Drug Resistance in Portugal: Implications for First Line Treatment Recommendations

Viruses ◽

10.3390/v12111238 ◽

2020 ◽

Vol 12 (11) ◽

pp. 1238

Author(s):

Marta Pingarilho ◽

Victor Pimentel ◽

Isabel Diogo ◽

Sandra Fernandes ◽

Mafalda Miranda ◽

...

Keyword(s):

Drug Resistance ◽

Reverse Transcriptase ◽

Resistance Mutation ◽

Drug Resistance Mutation ◽

Transmitted Drug Resistance ◽

Reverse Transcriptase Inhibitors ◽

Genotypic Resistance ◽

Acquired Drug Resistance ◽

Subtype B ◽

Number Of Patients

Introduction: Treatment for All recommendations have allowed access to antiretroviral (ARV) treatment for an increasing number of patients. This minimizes the transmission of infection but can potentiate the risk of transmitted (TDR) and acquired drug resistance (ADR). Objective: To study the trends of TDR and ADR in patients followed up in Portuguese hospitals between 2001 and 2017. Methods: In total, 11,911 patients of the Portuguese REGA database were included. TDR was defined as the presence of one or more surveillance drug resistance mutation according to the WHO surveillance list. Genotypic resistance to ARV was evaluated with Stanford HIVdb v7.0. Patterns of TDR, ADR and the prevalence of mutations over time were analyzed using logistic regression. Results and Discussion: The prevalence of TDR increased from 7.9% in 2003 to 13.1% in 2017 (p < 0.001). This was due to a significant increase in both resistance to nucleotide reverse transcriptase inhibitors (NRTIs) and non-nucleotide reverse transcriptase inhibitors (NNRTIs), from 5.6% to 6.7% (p = 0.002) and 2.9% to 8.9% (p < 0.001), respectively. TDR was associated with infection with subtype B, and with lower viral load levels (p < 0.05). The prevalence of ADR declined from 86.6% in 2001 to 51.0% in 2017 (p < 0.001), caused by decreasing drug resistance to all antiretroviral (ARV) classes (p < 0.001). Conclusions: While ADR has been decreasing since 2001, TDR has been increasing, reaching a value of 13.1% by the end of 2017. It is urgently necessary to develop public health programs to monitor the levels and patterns of TDR in newly diagnosed patients.

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

Virology Journal ◽

10.1186/s12985-021-01653-6 ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

Yun Lan ◽

Linghua Li ◽

Xiang He ◽

Fengyu Hu ◽

Xizi Deng ◽

...

Keyword(s):

Drug Resistance ◽

Reverse Transcriptase ◽

Transmitted Drug Resistance ◽

Resistance Mutations ◽

Reverse Transcriptase Inhibitors ◽

Nucleoside Reverse Transcriptase Inhibitors ◽

Cross Sectional ◽

Genetic Transmission ◽

Treatment Naïve ◽

Hiv 1

Abstract 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-naïve 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-naïve 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.

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Prevalence of transmitted drug resistance among HIV-1 treatment-naive patients in Beijing

Epidemiology and Infection ◽

10.1017/s0950268817003016 ◽

2018 ◽

Vol 146 (3) ◽

pp. 339-344 ◽

Cited By ~ 7

Author(s):

Y.X. Song ◽

R.L. Xin ◽

Z.C. Li ◽

H.W. Yu ◽

W.H. Lun ◽

...

Keyword(s):

Drug Resistance ◽

Reverse Transcriptase ◽

Transmitted Drug Resistance ◽

Resistance Mutations ◽

Reverse Transcriptase Inhibitors ◽

Nucleoside Reverse Transcriptase Inhibitors ◽

Frequent Mutations ◽

Treatment Naïve ◽

Sex With Men ◽

Hiv 1

AbstractTo 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.

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Epidemiology and Transmitted HIV-1 Drug Resistance among Treatment-Naïve Individuals in Israel, 2010–2018

Viruses ◽

10.3390/v14010071 ◽

2021 ◽

Vol 14 (1) ◽

pp. 71

Author(s):

Tali Wagner ◽

Neta S. Zuckerman ◽

Tami Halperin ◽

Daniel Chemtob ◽

Itzchak Levy ◽

...

Keyword(s):

Drug Resistance ◽

Reverse Transcriptase ◽

Sub Saharan Africa ◽

Resistance Testing ◽

Transmitted Drug Resistance ◽

Resistance Mutations ◽

Subtype C ◽

Reverse Transcriptase Inhibitors ◽

Subtype B ◽

Hiv 1

Despite the low prevalence of HIV-1 in Israel, continuous waves of immigration may have impacted the local epidemic. We characterized all people diagnosed with HIV-1 in Israel in 2010–2018. The demographics and clinical data of all individuals (n = 3639) newly diagnosed with HIV-1 were retrieved. Subtypes, transmitted drug-resistance mutations (TDRM), and phylogenetic relations, were determined in >50% of them. In 39.1%, HIV-1 transmission was through heterosexual contact; 34.3% were men who have sex with men (MSM); and 10.4% were people who inject drugs. Many (>65%) were immigrants. Israeli-born individuals were mostly (78.3%) MSM, whereas only 9% of those born in Sub-Saharan Africa (SSA), Eastern Europe and Central Asia (EEU/CA), were MSM. The proportion of individuals from SSA decreased through the years 2010–2018 (21.1% in 2010–2012; 16.8% in 2016–2018) whereas those from EEU/CA increased significantly (21% in 2010–2012; 27.8% in 2016–2018, p < 0.001). TDRM were identified in 12.1%; 3.7, 3.3 and 6.6% had protease inhibitors (PI), nucleotide reverse transcriptase inhibitors (NRTI), and non-nucleoside reverse transcriptase inhibitors (NNRTI) TDRM, respectively, with the overall proportion remaining stable in the studied years. None had integrase TDRM. Subtype B was present in 43.9%, subtype A in 25.2% (A6 in 22.8 and A1 in 2.4%) and subtype C in 17.1% of individuals. Most MSM had subtype B. Subtype C carriers formed small clusters (with one unexpected MSM cluster), A1 formed a cluster mainly of locally-born patients with NNRTI mutations, and A6 formed a looser cluster of individuals mainly from EEU. Israelis, <50 years old, carrying A1, had the highest risk for having TDRM. In conclusion, an increase in immigrants from EEU/CA and a decrease in those from SSA characterized the HIV-1 epidemic in 2010–2018. Baseline resistance testing should still be recommended to identify TDRM, and improve surveillance and care.

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Prevalence and Transmission Dynamics of HIV-1 Transmitted Drug Resistance in a Southeastern Cohort

Open Forum Infectious Diseases ◽

10.1093/ofid/ofy178 ◽

2018 ◽

Vol 5 (8) ◽

Cited By ~ 9

Author(s):

Sara N Levintow ◽

Nwora Lance Okeke ◽

Stephane Hué ◽

Laura Mkumba ◽

Arti Virkud ◽

...

Keyword(s):

North Carolina ◽

Drug Resistance ◽

Reverse Transcriptase ◽

Transmission Dynamics ◽

Resistance Testing ◽

Transmitted Drug Resistance ◽

Resistance Mutations ◽

Reverse Transcriptase Inhibitors ◽

Nucleoside Reverse Transcriptase Inhibitors ◽

Transmission Networks

Abstract Background Transmitted drug resistance (TDR) compromises clinical management and outcomes. Transmitted drug resistance surveillance and identification of growing transmission clusters are needed in the Southeast, the epicenter of the US HIV epidemic. Our study investigated prevalence and transmission dynamics in North Carolina. Methods We analyzed surveillance drug resistance mutations (SDRMs) using partial pol sequences from patients presenting to 2 large HIV outpatient clinics from 1997 to 2014. Transmitted drug resistance prevalence was defined as ≥1 SDRMs among antiretroviral therapy (ART)–naïve patients. Binomial regression was used to characterize prevalence by calendar year, drug class, and demographic and clinical factors. We assessed the transmission networks of patients with TDR with maximum likelihood trees and Bayesian methods including background pol sequences (n = 15 246). Results Among 1658 patients with pretherapy resistance testing, ≥1 SDRMs was identified in 199 patients, with an aggregate TDR prevalence of 12% (95% confidence interval, 10% to 14%) increasing over time (P = .02). Resistance to non-nucleoside reverse transcriptase inhibitors (NNRTIs; 8%) was common, followed by nucleoside reverse transcriptase inhibitors (4%) and protease inhibitors (2%). Factors associated with TDR were being a man reporting sex with men, white race, young age, higher CD4 cell count, and being a member of a transmission cluster. Transmitted drug resistance was identified in 106 clusters ranging from 2 to 26 members. Cluster resistance was primarily NNRTI and dominated by ART-naïve patients or those with unknown ART initiation. Conclusions Moderate TDR prevalence persists in North Carolina, predominantly driven by NNRTI resistance. Most TDR cases were identified in transmission clusters, signifying multiple local transmission networks and TDR circulation among ART-naïve persons. Transmitted drug resistance surveillance can detect transmission networks and identify patients for enhanced services to promote early treatment.

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Prevalence of Transmitted HIV-1 Drug Resistance Among Treatment-naive Individuals in China, 2000-2016

10.21203/rs.3.rs-249916/v1 ◽

2021 ◽

Author(s):

Huangbo Yuan ◽

Zhenqiu Liu ◽

Xuefu Wu ◽

Mingshan Wu ◽

Qiwen Fang ◽

...

Keyword(s):

Drug Resistance ◽

Reverse Transcriptase ◽

Genetic Relationships ◽

Transmitted Drug Resistance ◽

Resistance Mutations ◽

Reverse Transcriptase Inhibitors ◽

Nucleoside Reverse Transcriptase Inhibitors ◽

Relative Transmission ◽

Treatment Naïve ◽

Hiv 1

Abstract HIV with transmitted drug-resistance (TDR) limits the therapeutic options available for treatment-naive HIV patients. This study aimed to further our understanding of the prevalence and transmission characteristics of HIV with TDR for the application of first-line antiretroviral regimens. A total of 6578 HIV-1 protease/reverse-transcriptase sequences from treatment-naive individuals in China between 2000 and 2016, were obtained from the Los Alamos HIV Sequence Database and were analyzed for TDR. Transmission networks were constructed to determine genetic relationships. The spreading routes of large TDR clusters were identified using a Bayesian phylogeographic framework. TDR mutations were detected in 274 (4.51%) individuals, with 1.40% harboring TDR to nucleoside reverse transcriptase inhibitors, 1.52% to non-nucleoside reverse transcriptase inhibitors, and 1.87% to protease inhibitors. The most frequent mutation was M46L (58, 0.89%), followed by K103N (36, 0.55%), M46I (36, 0.55%), and M184V (26, 0.40%). The prevalence of total TDR initially decreased between 2000 and 2010 (OR = 0.83, 95% CI 0.73–0.95), and then increased thereafter (OR = 1.50, 95% CI 1.13–1.97). The proportion of sequences in a cluster (clustering rate) among HIV with TDR sequences was lower than that of sequences without TDR (40.5% vs. 48.8%, P = 0.023) and increased from 27.3% in 2005–2006 to 63.6% in 2015–2016 (P < 0.001). While most TDR mutations were associated with reduced relative transmission fitness, mutation M46I was associated with higher relative transmission fitness than the wild-type strain. This study identified a low-level prevalence of TDR HIV in China during the last two decades. However, the increasing TDR HIV rate sicn 2010, the persistent circulation of drug resistance mutations, and the expansion of self-sustaining drug resistance reservoirs may compromise the efficacy of antiretroviral therapy programs.

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Diversity of HIV-1 subtypes and transmitted drug-resistance mutations among minority HIV-1 variants in a Turkish cohort

Current HIV Research ◽

10.2174/1570162x19666211119111740 ◽

2021 ◽

Vol 19 ◽

Author(s):

Rabia Can Sarinoglu ◽

Uluhan Sili ◽

Ufuk Hasdemir ◽

Burak Aksu ◽

Guner Soyletir ◽

...

Keyword(s):

Drug Resistance ◽

Reverse Transcriptase ◽

Transcriptase Inhibitor ◽

Transmitted Drug Resistance ◽

Resistance Mutations ◽

Drug Resistance Mutations ◽

Subtype B ◽

Treatment Naïve ◽

Reverse Transcriptase Inhibitor ◽

Hiv 1

Background: The World Health Organization (WHO) recommends the surveillance of transmitted drug resistance mutations (TDRMs) to ensure the effectiveness and sustainability of HIV treatment programs. Objective: Our aim was to determine the TDRMs and evaluate the distribution of HIV-1 subtypes using and compared next-generation sequencing (NGS) and Sanger-based sequencing (SBS) in a cohort of 44 antiretroviral treatment-naïve patients. Methods: All samples that were referred to the microbiology laboratory for HIV drug resistance analysis between December 2016 and February 2018 were included in the study. After exclusions, 44 treatment-naive adult patients with a viral load of >1000 copies/mL were analyzed. DNA sequencing for reverse transcriptase and protease regions was performed using both DeepChek ABL single round kit and Sanger-based ViroSeq HIV-1 Genotyping System. The mutations and HIV-1 subtypes were analyzed using the Stanford HIVdb version 8.6.1 Genotypic Resistance software, and TDRMs were assessed using the WHO surveillance drug-resistance mutation database. HIV-1 subtypes were confirmed by constructing a maximum-likelihood phylogenetic tree using Los Alamos IQ-Tree software. Results: NGS identified nucleos(t)ide reverse transcriptase inhibitor (NRTI)-TDRMs in 9.1% of the patients, non-nucleos(t)ide reverse transcriptase inhibitor (NNRTI)-TDRMs in 6.8% of the patients, and protease inhibitor (PI)-TDRMs in 18.2% of the patients at a detection threshold of ≥1%. Using SBS, 2.3% and 6.8% of the patients were found to have NRTI- and NNRTI-TDRMs, respectively, but no major PI mutations were detected. M41L, L74I, K65R, M184V, and M184I related to NRTI, K103N to NNRTI, and N83D, M46I, I84V, V82A, L24I, L90M, I54V to the PI sites were identified using NGS. Most mutations were found in low-abundance (frequency range: 1.0% - 4.7%) HIV-1 variants, except M41L and K103N. The subtypes of the isolates were found as follows; 61.4% subtype B, 18.2% subtype B/CRF02_AG recombinant, 13.6% subtype A, 4.5% CRF43_02G, and 2.3% CRF02_AG. All TDRMs, except K65R, were detected in HIV-1 subtype B isolates.. Conclusion: The high diversity of protease site TDRMs in the minority HIV-1 variants and prevalence of CRFs were remarkable in this study. All minority HIV-1 variants were missed by conventional sequencing. TDRM prevalence among minority variants appears to be decreasing over time at our center.

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HIV-1 infection among women in Israel, 2010–2018

BMC Infectious Diseases ◽

10.1186/s12879-020-05389-6 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Tali Wagner ◽

Karen Olshtain-Pops ◽

Marina Wax ◽

Olivia Horwitz ◽

Rachel Shirazi ◽

...

Keyword(s):

Reverse Transcriptase ◽

Former Soviet Union ◽

Sub Saharan Africa ◽

Resistance Testing ◽

Transmitted Drug Resistance ◽

Reference Laboratory ◽

Resistance Mutations ◽

Reverse Transcriptase Inhibitors ◽

Cross Sectional ◽

Hiv 1

Abstract Introduction Although women comprise 33% of the HIV-1-carriers in Israel, they have not previously been considered a risk group requiring special attention. Immigration waves from countries in Africa and in East Europe may have changed the local landscape of women diagnosed with HIV-1. Here, we aimed to assess viral and demographic characteristics of HIV-1-positive women identified in Israel between 2010 and 2018. Methods All > 16 year-old, HIV-1-infected women, diagnosed in Israel in 2010–2018, (n = 763) registered in the National HIV reference laboratory were included in this cross-sectional study. Demographic and clinical characteristics were extracted from the database. Viral subtypes and transmitted drug resistance mutations (TDRM) were determined in 337 (44.2%) randomly selected samples collected from treatment-naive women. Results Median age at diagnosis was 38 years. Most (73.3%) women were immigrants from the former Soviet Union (FSU) (41.2%, 314) or sub-Saharan Africa (SSA) (32.2%, 246) and carried subtype A (79.7%) or C (90.3%), respectively. Only 11.4% (87) were Israeli-born women. Over the years, the prevalence of women from SSA decreased while that of women from FSU increased significantly (p < 0.001). The median CD4+ cell count was 263 cells/mm3, and higher (391 cells/mm3) in Israeli-born women. TDRM were identified in 10.4% of the tested samples; 1.8, 3 and 7.1% had protease inhibitors (PI), nucleotide reverse transcriptase inhibitors (NRTI) and non-nucleoside reverse transcriptase inhibitors (NNRTI) TDRM, respectively. The prevalence of women with NNRTI TDRM significantly increased from 4.9% in 2010–2012 to 13.3% in 2016–2018. Israeli-born women had the highest prevalence (16.3%) of NNRTI TDRM (p = 0.014). NRTI A62 (5.6%), NNRTI E138 and K103 (5.6 and 4.2%, respectively) were the most prominent mutated sites. Conclusions Most HIV-1-positive women diagnosed in Israel in 2010–2018 were immigrants, with the relative ratio of FSU immigrants increasing in recent years. The high proportion of women diagnosed with resistance mutations, particularly, the yearly increase in the frequency of NNRTI mutations, support the national policy of resistance testing at baseline.

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Barcoding analysis of HIV drug resistance mutations using Oxford Nanopore MinION (ONT) sequencing

10.1101/240077 ◽

2017 ◽

Cited By ~ 2

Author(s):

Claudia Gonzalez ◽

Jessica Gondola ◽

Alma Y Ortiz ◽

Juan M Castillo ◽

Juan M Pascale ◽

...

Keyword(s):

Drug Resistance ◽

Reverse Transcriptase ◽

Treatment Resistance ◽

Resistance Mutations ◽

Reverse Transcriptase Inhibitors ◽

Nucleoside Reverse Transcriptase Inhibitors ◽

Hiv Drug Resistance ◽

Drug Resistance Mutations ◽

Oxford Nanopore ◽

Pre Treatment

ABSTRACTDetermination of HIV drug resistance (HIVDR) is becoming an integral baseline HIV evaluation for newly infected subjects, as the level of pre-treatment resistance is increasing worldwide. Until now, the gold standard for monitoring ART mutations is the Sanger sequencing method, however, next-generation sequencing technologies (NGS) because high-throughput capability, are gaining attention as a method for detection of HIVDR. In the present work, we evaluated the use of the Oxford Nanopore Technologies (ONT) MinION as an alternative method for detection of drug resistance mutations in pre-treatment HIV positive subjects.We evaluate 36 samples taken during November 2016 from treatment naïve subjects with age greater than 18 years old, who went to the lab for their first HIV monitoring. To evaluate the agreement between Sanger and MinION generated sequences, we aligned the sequences (∼1200bp) with muscle v. 3.8.31. Then we counted the differences and calculated the p-distance of the obtained sequences, comparing paired sequences and grouping Sanger and MinION obtained sequences. The percentage of similarity among each sequence was also evaluated.All samples were submitted to the Standford University HIV drug resistance database (HIVdb version 8.4). Then we compared the resistance predictions obtained from the sequences generated by Sanger and MinION methods.Results: The median of available pores was 1314 for the first run, 1215 for the second run, and 536 for the third run. After 3 hours with SQK-NSK007 a total of 18803 2D reads were base-called and in 16577 reads (88%) a barcode was detected.Comparing the nucleotide differences of each sample, we observed that 23 (74%) samples had identical sequence, for the other samples the percentage of identity among each analyzed sequence was greater than 95%. A good positive predictive value (100%) in the estimation of drug resistance mutations in the groups of protease inhibitors (PI), nucleoside reverse transcriptase inhibitors (NRTIs), and non-nucleoside reverse transcriptase inhibitors (NNRTIs).We present an approach for the analysis of HIV reads generated with MinION ONT, further studies are guaranteed before the application of this methodology in clinical settings to assess its suitability for HIVDR testing.

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Evaluation of a novel in-house HIV-1 genotype drug resistance assay using clinical samples in China

Current HIV Research ◽

10.2174/1570162x19666210910144433 ◽

2021 ◽

Vol 19 ◽

Author(s):

Peijie Gao ◽

Fengting Yu ◽

Xiaozhen Yang ◽

Dan Li ◽

Yalun Shi ◽

...

Keyword(s):

Drug Resistance ◽

Reverse Transcriptase ◽

High Efficiency ◽

Clinical Samples ◽

Genotype Distribution ◽

Resistance Mutations ◽

Reverse Transcriptase Inhibitors ◽

Nucleoside Reverse Transcriptase Inhibitors ◽

Subtype B ◽

Hiv 1

Background: HIV drug resistance poses a major challenge for anti-retroviral treatment (ART) and the prevention and control of HIV epidemic. Objective: The study aims to establish a novel in-house assay with high efficiency, named AP in-house method, that would be suitable for HIV-1 drug resistance detection in China. Methods: An in-house HIV-1 genotyping method was used to sequence the partial pol gene from 60 clinical plasma samples; the results of our test were compared with a commercial ViroSeq HIV-1 genotyping system. Results : Among sixty samples, 58(96.7%) were successfully amplified by AP in-house method, five of them harbored viral load below 1,000 copies/ml. The genotype distribution was 43.1% CRF07_BC (25/58), 39.7% CRF01_AE (23/58), 6.9% CRF55_01B (4/58), 5.2% subtype B (3/58) and 5.2% CRF08_BC (3/58). Compared with that of the ViroSeq system, the consistent rate of these nucleotides and amino acids obtained by AP in-house method was up to 99.5 ± 0.4% and 99.5 ± 0.4%, respectively. A total of 290 HIV-1 drug resistance mutations were identified by two methods, including 126 nucleoside reverse transcriptase inhibitors (NRTIs), 145 non-nucleoside reverse transcriptase inhibitors (NNRTIs) and 19 protease inhibitors (PIs) resistance mutations. Out of them, 94.1% (273/290) were completely concordant between the AP in-house method and the ViroSeq system. Conclusion: Overall, the evaluation of AP in-house method provided comparable results to those of the ViroSeq system on diversiﬁed HIV-1 subtypes in China.

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