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. 2022 Nov 23;2022:2100254. doi: 10.1155/2022/2100254

A Concentration Method for HIV Drug Resistance Testing in Low-Level Viremia Samples

Qun Li 1,2, Fengting Yu 1,2, Chuan Song 1,2,3, Hongxin Zhao 1,2, Liting Yan 1,2, Qing Xiao 1,2, Xiaojie Lao 1,2, Siyuan Yang 1,2, Yunxia Tang 1,2, Jiang Xiao 1,2, Fujie Zhang 1,2,
PMCID: PMC9711986  PMID: 36467892

Abstract

Background

Drug resistance testing in HIV-1 low-level viremia (LLV) samples is challenging yet critical. Our study is aimed at assessing the performance of lentivirus concentration reagent (LCR) in combination with a validated Sanger sequencing (SS) for monitoring drug resistance mutations (DRMs) in LLV samples.

Methods

A series of clinical samples were diluted and amplified for genotypic resistance testing (GRT) to prove the performance of the LCR. The Stanford HIV-1 drug resistance database (HIVdb version 8.9) was used to analyze the mutations. HIV-1 subtypes and CRFs were determined using the COMET online tool. The overall success rate of genotyping was compared with ultracentrifugation combined with SS. Furthermore, the success rates at varied VL of the two concentration methods were evaluated, and the DRMs of diluted samples were compared with those undiluted samples.

Results

When LCR was used, the overall success rate was 90% (72/80) in the PR and RT regions and 60% (48/80) in the IN region. In addition, when HIV RNA was 1000 copies/ml, 400 copies/ml, 200 copies/ml, and 100 copies/ml, the success rates of PR and RT regions were 100%, 100%, 95%, and 65%, respectively, while the success rates of IN region were 85%, 60%, 45%, and 50%, respectively. We found that the sample DR-387A2 missed the E138A mutation, and mutations in other samples were consistent with undiluted samples using LCR.

Conclusions

LCR will support monitoring DRMs in HIV-1 patients with LLV and can be an effective alternative for small- and medium-sized laboratories that cannot afford an ultracentrifuge.

1. Introduction

The growing knowledge has suggested the critical role of HIV-1 resistance genotyping testing (RGT) in drug resistance mutation (DRMs) monitoring [1]. Successful viral nucleic acid extraction and PCR amplification are critical steps for HIV-1 RGT. However, when the viral load (VL) of patients is low, such as low-level viremia (LLV), there is almost no available genomic template to use [2].

Previous studies illustrated that about 5.3%-38.7%% of patients could be detected as LLV in China [36]. LLV, which could lead to accumulation of DRMs [7, 8], virologic failure (VF) [46], and disease progression [9], was defined as VL between 50 and 999 copies/ml after six months of antiviral therapy (ART) according to World Health Organization (WHO) guidelines [10]. Solving the problem of drug resistance testing in LLV patients is very important for optimizing the ART regimen.

However, testing DRMs in HIV-1 patients with low VL is challenging, mainly because amplification of HIV segments in those patients is usually unsuccessful. Previous studies have improved the RGT success rate of LLV samples to 80%-90% by optimizing PCR amplification procedures or using magnetic silica extraction [2, 1113]. An alternative strategy to address this problem is to use larger input plasma volumes for HIV RNA extraction [14]. In addition, a virus particle concentration step (ultracentrifugation) could be performed before the routine nucleic acid extraction procedure [7, 15]. Because of financial constraints, ultracentrifuges are unavailable for all laboratories in China or other low- and middle-income countries (LMICs). Hence, providing an alternative, cost-effective, and less laborious assay to concentrate virus is essential, which will be a great asset.

In the current study, we provided a commercially available lentiviral concentration reagent (LCR) to concentrate HIV particles and compared its performance with ultracentrifugation.

2. Materials and Methods

2.1. Selection of Patients

This retrospective single-centre study was conducted at Beijing Ditan Hospital from 22 March 2021 to 1 April 2022. In our study, 20 HIV-1 patients with at least one mutation and known subtypes were included, and their plasma samples were serially diluted to 1000, 400, 200, and 100 copies/ml by using sterile 1640 PBS buffer. In addition, every diluted samples were divided into two aliquots (2.1 ml of each), and 160 samples were obtained.

2.2. HIV-1 Drug Resistance Testing

2.2.1. Enrichment Using Lentiviral Concentration Reagent

A4, A3, A2, and A1 represent samples diluted to 1000 copies/ml, 400 copies/ml, 200 copies/ml, and 100 copies/ml, respectively, concentrated by LCR. Add 0.7 ml of Buffer LP (ViraTrap™ Lentivirus Concentration Reagent ViraTrap™, Biomiga Medical Technology Co., Ltd.) to 2.1 ml diluted samples. Mix well and incubate overnight at 4°C. The virus can be stored in Buffer LP for 24 hours. Centrifuge the sample at 3,164 g for 30 minutes at 4°C. Carefully aspirate the supernatant. Spin briefly and remove the residual supernatant. The virus-containing pellet should be visible. Suspend the pellet with 200 μl Buffer LS (ViraTrap™ Lentivirus Concentration Reagent ViraTrap™, Biomiga Medical Technology Co., Ltd.) and dissolve the pellet by pipetting. The suspension was transferred to PCR tubes and stored at –80°C until use.

LCR is based on the principle of physical precipitation. Buffer LP can combine with the HIV-1 virus and settle it to the bottom of the tube, but it does not damage the structure of HIV-1. The HIV-1 virus pellet was dissolved by adding buffer LS. HIV-1 was concentrated nearly 50–100 times through centrifugation and resuspension.

2.3. Enrichment by Ultracentrifugation

B4, B3, B2, and B1 represent samples diluted to 1000 copies/ml, 400 copies/ml, 200 copies/ml, and 100 copies/ml, respectively, concentrated by ultracentrifugation. 2.1 ml of the diluted samples was concentrated by ultracentrifugation at 20,000 g, 4°C for 2 hours. After ultracentrifugation, 1.9 ml of the supernatant was removed, and the remaining 200 μl was left for nucleic acid extraction.

2.4. RNA Extraction, PCR, and Sanger Sequencing

Viral RNA was extracted from 200 μl of plasma samples using the Viral RNA Extraction Kit (Guangzhou Life Technologies Daan Diagnostics Co., Ltd.) according to the manufacturer's instructions. A validated Sanger sequencing method amplifies the entire pol gene containing the reverse transcriptase, protease, and integrase region (Guangzhou Life Technologies Daan Diagnostics Co., Ltd.). The positive PCR products were purified, and the PCR products were sequenced using the 3500XL DX Genetic Analyzer [16]. Subsequently, HIV-1 DRMs and resistance interpretations were determined using the Stanford HIVdb algorithm version 9.0. HIV-1 subtypes and CRFs were defined using the COMET online tool (http://comet.retrovirology.lu). The phylogenetic tree was constructed using MEGA (Version 7.0, USA) software, and the bootstrapping test was performed.

2.5. Statistical Analysis

Continuous variables were described as the median and interquartile range (IQR), while percentages presented categorical variables. HIV-1 genotyping was successful when both amplification and DNA sequencing were successful. The overall success rate of LCR was compared with ultracentrifugation. Furthermore, the success rates at distinct VL categories of the two methods were also calculated. Drug resistance mutations of diluted samples were compared with those of undiluted samples. Statistical analysis was performed using GraphPad 7 (GraphPad Software, La Jolla, CA, USA).

3. Results

3.1. Patient Characteristics

Twenty participants were included, and their plasma samples were serially diluted to 1000 copies/ml, 400 copies/ml, 200 copies/ml, and 100 copies/ml, respectively. 95% of the participants (19/20) were male, and the route of transmission of 18 patients was through homosexual contact. The median VL of undiluted samples was 33874 copies/ml (IQR: 29197-37217 copies/ml). Of the 20 participants enrolled, CRF_01 AE accounted for 45%, and subtypes CRF07_BC, B, C, and CRF55_01B accounted for 25%, 15%, 5%, and 10%, respectively. The characteristics of the 20 participants are shown in Supplementary Table 1.

3.2. Comparison of the Overall Success Rate of Two Concentration Methods

When samples were concentrated by ultracentrifugation, the overall success rate was 98.8% (79/80) in the PR and RT regions and 75% (60/80) in the IN region. When enriched with LCR, the total success rate of PR and RT regions was 90% (72/80), and the complete success rate of the IN region was 60% (48/80). The overall success rate of ultracentrifugation was higher than LCR, and the difference was statistically significant (PR and RT: P < 0.001; IN: P < 0.001). The results are shown in Figure 1.

Figure 1.

Figure 1

Compare the overall success rate of two different concentration methods.

3.3. Comparison of the Success Rates at Different VL Categories

Using ultracentrifugation, when HIV RNA was 1000 copies/ml, 400 copies/ml, 200 copies/ml, and 100 copies/ml, the success rates of PR and RT regions were 95%, 100%, 100%, and 100%, respectively, whereas the success rates in the IN region were 80%, 70%, 75%, and 75%, respectively. Using LCR, when HIV RNA was 1000 copies/ml, 400 copies/ml, 200 copies/ml, and 100 copies/ml, the success rates in PR and RT regions were 100%, 100%, 95%, and 65%, respectively, whereas the success rates in the IN region were 85%, 60%, 45%, and 50%, respectively. The results are shown in Figure 2.

Figure 2.

Figure 2

Compare the success rates of different VL categories by two distinct concentration methods.

3.4. Compared DRMs with Undiluted Samples by Two Methods at Different Viral Loads

Supplementary table 2 shows the resistance profiles of undiluted clinical specimens and is used as a reference to assess the detection of additional mutations or lack of mutations. In our study, we found that sample DR-316B4 missed the E138G mutation and DR-217B3 detected K219KE mutation, which was not detected in other samples. Mutations in other specimens were consistent with undiluted samples by using ultracentrifugation. The results are shown in Table 1. Furthermore, we found that the DR-387A2 missed the E138A mutation, and mutations in other specimens were consistent with undiluted samples using LCR. The results are shown in Table 2.

Table 1.

Samples with different DRMs compared with undiluted samples by the ultracentrifugation method.

ID card Subtype PI NRTI NNRTI
DR-217B1 CRF01_AE None A62V, K65R, M184V Y181C, G190S
DR-217B2 CRF01_AE None A62V, K65R, M184V Y181C, G190S
DR-217B3 CRF01_AE None A62AV, K65R, M184V, K219KE Y181C, G190S
DR-217B4 CRF01_AE None A62AV, K65R, M184V Y181C, G190S
DR-316B1 CRF07_BC None None E138G
DR-316B2 CRF07_BC None None E138G
DR-316B3 CRF07_BC None None E138G
DR-316B4 CRF07_BC None None None

Abbreviations: NRTI: nucleoside reverse transcriptase inhibitors; NNRTI: nonnucleoside reverse transcriptase inhibitor; PI: protease inhibitor.

Table 2.

Samples with different DRMs compared with undiluted samples by the LCR method.

ID card Subtype PI NRTI NNRTI
DR-387A2 CRF01_AE M46I None None
DR-387A3 CRF01_AE M46I None E138A
DR-387A4 CRF01_AE M46I None E138A

Abbreviations: NRTI: nucleoside reverse transcriptase inhibitors; NNRTI: nonnucleoside reverse transcriptase inhibitor; PI: protease inhibitor; LCR: lentivirus concentration reagent.

3.5. Phylogenetic Tree Analysis of Two Concentration Methods

Phylogenetic tree analysis of LCR and ultracentrifugation was performed to evaluate the evolutionary relationship of diluted samples. Sequences for each dilution series are closely related and support reproducible scenarios for low VL sequencing. Gene evolution analysis of serial dilution samples using ultracentrifugation and LCR is shown in Figure 3.

Figure 3.

Figure 3

Gene evolution analysis of serial dilution samples of the two concentration methods.

4. Discussion

To our knowledge, this is the first study in China to explore the feasibility and applicability of LCR in LLV samples. We offer a potentially attractive approach to concentrating the HIV-1 virus. Although the enrichment effect of the LCR was slightly inferior to ultracentrifugation, the difference was statistically significant (PR and RT: P < 0.001; IN: P < 0.001). The success rate of LCR in PR and RT regions can achieve 95% when the VL ≥ 200 copies/ml. However, without LCR or ultracentrifugation, the success rate is only about 30%.

According to the “U = U” concept of the Prevention Access Campaign in the United States, HIV-1 infected patients with VL consistently below 200 copies/ml have a negligible risk of transmitting HIV [17]. Also, compared with VL of more than 200 copies/ml, previously published studies have shown that LLV with VL of 50–200 copies/ml has a relatively lower risk of VF [5, 6]. In our research, the LCR has good applicability and effectiveness for VL of more than 200 copies/ml and can be used as an effective alternative for laboratories that cannot afford an ultracentrifuge.

A worrisome problem with HIV RNA sequencing in LLV patients is the selection and misrepresentation of the virological profile in vivo [18]. We found that the DR-387A2 missed the E138A mutation, and the DR-316B4 missed the E138G mutation, which may be due to uneven dilution or the frequency of mutant virus strains being less than 20% after dilution. At the same time, the limitation of SS, which has weak sensitivity in detecting DRMs in <20% virus population, is also emphasized [19, 20]. In addition, the K219KE mutation was detected in DR-217B3, a mixed mutation not seen in other diluted samples. A closer analysis of the peak diagram showed that this mixed mutation exists in this sample. In DR-217B3, the G peaks of three sequencing primers were higher than the 20% peak cut-off for detection by sequencing analysis. However, in DR-217B2 and DR-217B4, only one sequencing primer had a G peak higher than 20%. However, none of the three sequencing primers showed a G peak in DR-217B1. This difference may be caused by the heterogeneity of PCR amplification, uneven dilution, and the limitation of Sanger sequencing.

Appropriate management of patients with HIV-1 infection requires periodic assessment of HIV-1 viremia and monitoring of drug resistance mutations. The current guidelines oversight and do not guide LLV patients. Hence, managing LLV patients is complicated and controversial [2123]. Furthermore, without the data of RGT, clinicians can maintain the regimen when DRMs have already emerged or switch to a new regimen empirically when the virus is still sensitive.

Most laboratories use ultracentrifugation to concentrate the HIV-1 virus, which implies using expensive equipment. In addition, there are gaps with foreign countries in machine intelligence, temperature control, and other aspects. In our study, LCR could be applied combined with the in-house SS method for monitoring DRMs in HIV-1 patients with LLV. The LCR assay would be a helpful tool to concentrate the HIV-1 virus. The LCR assay costs only $ 2.7 for one sample compared to ultracentrifugation, which costs approximately $ 2837 to $ 11350. This assay will facilitate surveillance studies and support drug resistance testing for LLV samples in small- or mid-sized laboratories.

There were some limitations in this study. Firstly, the amplification efficiency for the IN region was significantly lower than that for the PR and RT regions. This phenomenon not only exists in LLV samples but also in samples with high VL at baseline or treatment failure, which may be related to primer specificity [24]. The primer design for the IN region is still not mature and needs to be further optimized in the future. Secondly, the LCR requires an input volume of 2.1 ml to concentrate samples with <1000 copies/ml, which is significantly more than the standard 200-500 μl for samples with ≥1000 copies/ml.

In summary, ultracentrifugation can be purchased in laboratories with good economic conditions, and LCR can be purchased in areas with poor economic conditions. The two effective concentration methods could support drug resistance testing of HIV-1 LLV samples.

5. Conclusion

In summary, LCR will provide strong support for monitoring DRMs in LLV samples of HIV-1 patients and can be an effective alternative for small- and medium-sized laboratories that cannot afford an ultracentrifuge.

Acknowledgments

This work was partly funded by the National 13th Five-Year Grand Program on Key Infectious Disease Control (2018ZX10302-102 to F.Z., 2018ZX10715-005 to H.Z.) and the R&D Program of the Beijing Municipal Education Commission (KM202210025004).

Data Availability

Part of the data had been presented at the Fifth National Academic Conference on infectious diseases in China, in May 2022.

Ethical Approval

This study had been approved by the ethics committee of Beijing Ditan Hospital of Capital Medical University (Approval number: 2021-022-01) and complied with the Declaration of Helsinki.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors' Contributions

Qun Li and Fengting Yu contributed equally to this work.

Supplementary Materials

Supplementary Materials

The characteristics of the 20 participants are shown in Supplementary Table 1. Supplementary table 2 shows the resistance profiles of undiluted clinical specimens and is used as a reference to assess the detection of additional mutations or lack of mutations.

References

  • 1.WHO. HIV Drug Resistance Report 2019 . Geneva, Switzerland: World Health Organization; 2019. [Google Scholar]
  • 2.Gupta S., Taylor T., Patterson A., et al. A robust PCR protocol for HIV drug resistance testing on low-level viremia samples. BioMed Research International . 2017;2017:6. doi: 10.1155/2017/4979252.4979252 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Liu P., You Y., Liao L., et al. Impact of low-level viremia with drug resistance on CD4 cell counts among people living with HIV on antiretroviral treatment in China. BMC Infectious Diseases . 2022;22(1):1–10. doi: 10.1186/s12879-022-07417-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bai R., Lv S., Hua W., et al. Factors associated with human immunodeficiency virus-1 low-level viremia and its impact on virological and immunological outcomes: a retrospective cohort study in Beijing, China. HIV Medicine . 2022;23(Supplement 1):72–83. doi: 10.1111/hiv.13251. [DOI] [PubMed] [Google Scholar]
  • 5.Zhang T., Ding H., An M., et al. Factors associated with high-risk low-level viremia leading to virologic failure: 16-year retrospective study of a Chinese antiretroviral therapy cohort. BMC Infectious Diseases . 2020;20(1):p. 147. doi: 10.1186/s12879-020-4837-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Li Q., Chen M., Zhao H., et al. Persistent low-level viremia is an independent risk factor for virologic failure: a retrospective cohort study in China. Infection and Drug Resistance . 2021;14:4529–4537. doi: 10.2147/IDR.S332924. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Delaugerre C., Gallien S., Flandre P., et al. Impact of low-level-viremia on HIV-1 drug-resistance evolution among antiretroviral treated-patients. PLoS One . 2012;7(5, article e36673) doi: 10.1371/journal.pone.0036673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Taiwo B., Gallien S., Aga E., et al. Antiretroviral drug resistance in HIV-1-infected patients experiencing persistent low-level viremia during first-line therapy. The Journal of Infectious Diseases . 2011;204(4):515–520. doi: 10.1093/infdis/jir353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Cohen C. Low-level viremia in HIV-1 infection: consequences and implications for switching to a new regimen. HIV Clinical Trials . 2009;10(2):116–124. doi: 10.1310/hct1002-116. [DOI] [PubMed] [Google Scholar]
  • 10.WHO. Consolidated guidelines on HIV prevention, diagnosis, treatment and care for key populations . 2021. https://www.afro.who.int/fr/node/5169 . [PubMed]
  • 11.Mellberg T., Krabbe J., Gisslen M., Svennerholm B. HIV-1 low copy viral sequencing-a prototype assay. Infectious Diseases . 2016;48(6):472–476. doi: 10.3109/23744235.2015.1133925. [DOI] [PubMed] [Google Scholar]
  • 12.McClernon D. R., Ramsey E., Clair M. S. Magnetic silica extraction for low-viremia human immunodeficiency virus type 1 genotyping. Journal of Clinical Microbiology . 2007;45(2):572–574. doi: 10.1128/JCM.01731-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Milia M. G., Allice T., Gregori G., et al. Magnetic-silica based nucleic acid extraction for human immunodeficiency virus type-1 drug-resistance testing in low viremic patients. Journal of Clinical Virology . 2010;47(1):8–12. doi: 10.1016/j.jcv.2009.10.012. [DOI] [PubMed] [Google Scholar]
  • 14.Nettles R. E., Kieffer T. L., Simmons R. P., et al. Genotypic resistance in HIV-1—infected patients with persistently detectable low-level viremia while receiving highly active antiretroviral therapy. Clinical Infectious Diseases . 2004;39(7):1030–1037. doi: 10.1086/423388. [DOI] [PubMed] [Google Scholar]
  • 15.Avania B., Lucia H., Steegen K. Feasibility and clinical relevance of HIV-1 drug resistance testing in patients with low-level viraemia in South Africa. The Journal of Antimicrobial Chemotherapy . 2021;76(10):2659–2665. doi: 10.1093/jac/dkab220. [DOI] [PubMed] [Google Scholar]
  • 16.Ye J., Hao M., Xing H., et al. Characterization of subtypes and transmitted drug resistance strains of HIV among Beijing residents between 2001-2016. PLoS One . 2020;15(3, article e0230779) doi: 10.1371/journal.pone.0230779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Prevention Access Campaign. https://www.preventionaccess.org/undetectable .
  • 18.Mackie N., Dustan S., McClure M. O., Weber J. N., Clarke J. R. Detection of HIV-1 antiretroviral resistance from patients with persistently low but detectable viraemia. Journal of Virological Methods . 2004;119(2):73–78. doi: 10.1016/j.jviromet.2004.02.015. [DOI] [PubMed] [Google Scholar]
  • 19.Li M., Liang S., Zhou C., et al. HIV drug resistance mutations detection by next-generation sequencing during antiretroviral therapy interruption in China. Pathogens . 2021;10(3):p. 264. doi: 10.3390/pathogens10030264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Raymond E., Nicot F., Morand-Joubert A., Rodallec D., Teiche E. Impact of human immunodeficiency virus type 1 minority variants on the virus response to a rilpivirine-based first-line regimen. Clinical Infectious Diseases . 2018;66(10):1588–1594. doi: 10.1093/cid/cix1070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Esber A., Polyak C., Kiweewa F., et al. Persistent low level viremia predicts subsequent virologic failure. Is it time to change the 3rd 90? Clinical Infectious Diseases . 2019;69(5):805–812. doi: 10.1093/cid/ciy989. [DOI] [PubMed] [Google Scholar]
  • 22.Joya C., Won S. H., Schofield C., et al. Persistent low-level viremia while on antiretroviral therapy is an independent risk factor for virologic failure. Clinical Infectious Diseases . 2019;69(12):2145–2152. doi: 10.1093/cid/ciz129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Elvstam O., Marrone G., Medstrand P., et al. All-cause mortality and serious non-AIDS events in adults with low-level human immunodeficiency virus viremia during combination antiretroviral therapy: results from a Swedish nationwide observational study. Clinical Infectious Diseases . 2021;72(12):2079–2086. doi: 10.1093/cid/ciaa413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Yan L., Yu F., Liang J., et al. Drug resistance profiles and influencing factors among HIV-infected children and adolescents receiving long-term ART: a multicentre observational study in China. The Journal of Antimicrobial Chemotherapy . 2022;77(3):727–734. doi: 10.1093/jac/dkab430. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Materials

The characteristics of the 20 participants are shown in Supplementary Table 1. Supplementary table 2 shows the resistance profiles of undiluted clinical specimens and is used as a reference to assess the detection of additional mutations or lack of mutations.

Data Availability Statement

Part of the data had been presented at the Fifth National Academic Conference on infectious diseases in China, in May 2022.


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