Prediction of HIV-1 Coreceptor Usage (Tropism) by Sequence Analysis using a Genotypic Approach

Immunology and Infection
 

Summary

The prediction of the coreceptor usage of HIV-1 is required for the administration of a new class of antiretroviral drugs, i.e. coreceptor antagonists. It can be performed by sequence analysis of the env gene and subsequent interpretation through an internet based interpretation system (geno2pheno[coreceptor]).

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Sierra, S., Kaiser, R., Lübke, N., Thielen, A., Schuelter, E., Heger, E., Däumer, M., Reuter, S., Esser, S., Fätkenheuer, G., Pfister, H., Oette, M., Lengauer, T. Prediction of HIV-1 Coreceptor Usage (Tropism) by Sequence Analysis using a Genotypic Approach. J. Vis. Exp. (58), e3264, doi:10.3791/3264 (2011).

Abstract

Maraviroc (MVC) is the first licensed antiretroviral drug from the class of coreceptor antagonists. It binds to the host coreceptor CCR5, which is used by the majority of HIV strains in order to infect the human immune cells (Fig. 1). Other HIV isolates use a different coreceptor, the CXCR4. Which receptor is used, is determined in the virus by the Env protein (Fig. 2). Depending on the coreceptor used, the viruses are classified as R5 or X4, respectively. MVC binds to the CCR5 receptor inhibiting the entry of R5 viruses into the target cell. During the course of disease, X4 viruses may emerge and outgrow the R5 viruses. Determination of coreceptor usage (also called tropism) is therefore mandatory prior to administration of MVC, as demanded by EMA and FDA.

The studies for MVC efficiency MOTIVATE, MERIT and 1029 have been performed with the Trofile assay from Monogram, San Francisco, U.S.A. This is a high quality assay based on sophisticated recombinant tests. The acceptance for this test for daily routine is rather low outside of the U.S.A., since the European physicians rather tend to work with decentralized expert laboratories, which also provide concomitant resistance testing. These laboratories have undergone several quality assurance evaluations, the last one being presented in 20111.

For several years now, we have performed tropism determinations based on sequence analysis from the HIV env-V3 gene region (V3)2. This region carries enough information to perform a reliable prediction. The genotypic determination of coreceptor usage presents advantages such as: shorter turnover time (equivalent to resistance testing), lower costs, possibility to adapt the results to the patients' needs and possibility of analysing clinical samples with very low or even undetectable viral load (VL), particularly since the number of samples analysed with VL<1000 copies/μl roughly increased in the last years (Fig. 3).

The main steps for tropism testing (Fig. 4) demonstrated in this video:

1. Collection of a blood sample
2. Isolation of the HIV RNA from the plasma and/or HIV proviral DNA from blood mononuclear cells
3. Amplification of the env region
4. Amplification of the V3 region
5. Sequence reaction of the V3 amplicon
6. Purification of the sequencing samples
7. Sequencing the purified samples
8. Sequence editing
9. Sequencing data interpretation and tropism prediction

Protocol

The protocol is summarized in Fig. 4.

1. Collection of blood samples

  1. Collect at least 3 ml blood in EDTA tubes at the clinical site.
  2. The samples can be stored up to a week at 4°C.
  3. Send the EDTA-blood samples as soon as possible to the laboratory by ordinary mail.

2. Isolation of HIV RNA and/or DNA

  1. Obtain viral RNA and/or DNA from 1000 μl whole blood, serum or plasma, using the MagNA Pure Compact Nucleic Acid Isolation I kit I and the MagNA Pure Compact System.
  2. Elute the gained RNA or DNA in 50 μl TE buffer. Alternatively, other nucleic acids purification procedures may be used.

3. Amplification of the env region

Amplify the env region (Figs. 2 and 4) from either plasma RNA or proviral DNA. A 1245 bp-long product, comprising the majority of the Env protein (nt 6556-7811 according to HXB2) is generated.

  1. RNA samples: RT-PCR reaction
    1. Viral RNA presents a very complex secondary structure (Fig. 4) that may hinder the RT reaction. To avoid this problem, incubate 10 μl RNA at 65°C for 10 minutes (already in the PCR tube and in the PCR machine) and then reduce the temperature to 50°C.
    2. Add 40 μl of the PCR Master Mix including the primers Env-F and Env-R.

      Master Mix for RT-PCR In-House-System:
        volume/reaction (μl) final concentration
      RNase-free H2O 14.4  
      5x Buffer (Qiagen OneStep RT-PCR Kit) 10 1x
      5x Q-Solution 10 1x
      dNTP Mix (10 mM each) 2 400 μM of each dNTP
      Enzym-Mix (Qiagen OneStep RT-PCR Kit) 2  
      Primer Env-F (100 μM) 0.3 0.6 μM
      Primer Env-R (100 μM) 0.3 0.6 μM
      RNase Inhibitor (RNasin) 1 5 units/reaction


      Env-F: 5'- CAAAGCCTAAAGCCATGTGTAAA -3' (nt 6556→6586 according to HXB2)

      Env-R: 5'- AGTGCTTCCTGCTGCTCCTAAGAACCC -3' (nt 7785←7811)
    3. Run the RT reaction at 50°C for 30 minutes.
    4. Run the first PCR as follows:

      95°C, 15min 1 x
      95°C, 30 sec
      50°C, 30 sec
      72°C, 2 min
      1 x
      95°C, 30 sec
      56°C, 30 sec
      72°C, 2 min
      38 x
      72°C, 10 min
      4°C ∞
       
  2. DNA samples: PCR reaction

    For proviral DNA samples, no initial RT reaction is needed, and the PCR reaction can directly start.
    1. Add 40 μl of PCR Master Mix to 10 μl of provial DNA.


      Master Mix for PCR In-House-System:
        volume/reaction (μl) final concentration
      RNase-free H2O 15.4  
      5x Buffer (HotStarTaq DNA Polymerase) 10 1x
      5x Q-Solution 10 1x
      dNTP Mix (10 mM each) 2 400 μM of each dNTP
      Enzym-Mix (HotStarTaq DNA Polymerase) 2  
      Primer Env-F (100 μM) 0.3 0.6 μM
      Primer Env-R (100 μM) 0.3 0.6 μM


      Env-F: 5'- CAAAGCCTAAAGCCATGTGTAAA -3' (nt 6556→6586)

      Env-R: 5'- AGTGCTTCCTGCTGCTCCTAAGAACCC -3' (nt 7785←7811)
    2. Run the PCR conditions as previously described for RNA samples (Step 3.1.4).

4. Amplification of the V3 region: nested PCR

  1. For the nested PCR, use 5 μl from the first PCR reaction (without previous analysis in agarose gel) as template and add 95 μl of PCR Master Mix.

    Master Mix for Nested-In-House PCR
      volume/reaction (μl) final concentration
    H2O 61.9  
    10x PCR Buffer 10 1x
    5x Q-Solution 20 1x
    dNTP Mix (10 mM each) 2 200 μM of each dNTP
    Primer Env-2F (100 μM) 0.3 0.6 μM
    Primer Env-2R (100 μM) 0.3 0.6 μM
    HotStarTaq DNA Polymerase 0.5 2,5 units/reaction


    Env-2F: 5'- GTCCAAAGGTATCCTTTGAGCCAATTC -3' (nt 6838→6864)

    Env-2R: 5'- CACCACTCTTCTCTTTGCCTTGGTGGGTGC -3' (nt 7712←7742)
  2. Run the PCR as follows:

    93°C, 15min
    1 x
    95°C, 30 sec
    50°C, 30 sec
    72°C, 90 sec
    1 x
    95°C, 30 sec
    56°C, 30 sec
    72°C, 90 sec
    43 x
    72°C, 10 min
    4°C ∞
     
  3. Analyze the PCR product on a 1% agarose gel (Fig. 4). The expected product is 902 bp-long.
  4. Purification of the sequencing samples.
    1. Purify the PCR product with the Qiagen PCR-Purification kit, using the protocol, solutions and micro-columns provided by the supplier. Elute in 30-100 μl PE buffer, depending on band intensity.
    2. Alternatively, the samples can be purified using Exonuclease I and Fast AP (Thermo alkaline phosphatase). For this purpose, add 6 μl Exo-AP Mix to 15 μl PCR product and incubate 15 minutes at 37°C.
      580 μl H2O
      66 μl fast AP
      13.4 μl Exo I

5. Sequence reaction of the V3 amplicon

  1. The sequence reaction consists of a PCR reaction using only one of the following primers:

    Env-2: 5'- GTACAATGYACACATGGAATTAGGC -3 (nt 6959→6980)
    Env-5: 5'- AAAATTCCCCTCCACAATTA - 3' (nt 7352←7371)
    Env-6: 5'- GGCCAGTAGTATCAACTCAAC - 3' (nt 6979→7000)
    Env-7: 5'- TGTCCACTGATGGGAGGGGC - 3' (nt 7530←7549)
    Env-10: 5' - GCAGAATAAAACAAATTATAAACATGTGGC - 3' (nt 7478←7507)
    Env-11: 5' - TACATTGCTTTTCCTACTTTCTGCCAC - 3' (nt 7638←7664)
    First choice primers are: Env-2, Env-6 or Env-7, Env-11
  2. Use 1 μl from the purified V3 amplicon as template and add 9 μl of PCR master-mix.

    Sequencing Master Mix:
    4 μl sequence mix (HIV-Genotyping Kit)
    4 μl H2O
    1 μl Primer (100 pmol/μl)
  3. Run the sequence reaction as follows:
    96°C, 10 sec  
    50°C, 10 sec 36 x
    60°C, 45 sec  
    4°C ∞  

6. Purification of the sequencing samples

Purify sequences using Sephadex G-50 superfine.

  1. Fill the appropriate number of wells in the "column loader" with Sephadex G-50 superfine. Transfer the Sephadex to the filter plate MAHVN4510 by turning over.
  2. Add 300 μl Milli-Q H2O to each well in the filter plate, and incubate it for at least 3h at 2-8°C.
  3. Centrifuge the plates for 5 min at 910Xg and 4-15°C. Discard the flow-through.
  4. Add 10 μl H2O to the sequence product and then pipet the sequence on the swelled Sephadex plate.
  5. To gain the purified product, centrifuge the plate for 5 min. at 910Xg and 4-15°C and collect the flow-through.

7. Sequencing the purified samples on the sequencer ABI Prism 3130 XL

  1. Before each run, change the buffer and check the volume of the polymer (POP7). If needed, replace the old polymer flask by a new one.
  2. Use the saved run conditions, including an injection time of 18 seconds.
  3. In this machine, the collection of the signal data of one run with 16 sequence samples takes about 60 min (36 cm capillary) or 150 min (50 cm capillary).

8. Sequence editing

  1. Use the program Lasergene (DNA-Star) to align and edit the sequences (Fig. 5). Other sequence editing programs may be used. Use a "V3-Consensus B" and the env consensus sequence as references.
  2. Lasergene creates a consensus sequence of the analysed sample using all the raw data available and store it as FASTA file. The FASTA file is a text file that includes a header with the name of the sample and the nucleotide sequence.

9. Sequencing data interpretation and tropism prediction

  1. Sequencing data interpretation is performed by the web-based interpretation system geno2pheno[coreceptor] (http://coreceptor.bioinf.mpi-inf.mpg.de/index.php). For the tropism prediction, different FPR settings can be selected. The default setting is according to the German-Austrian therapy guidelines. For FPR ≥ 20%, the virus is classified as R5 when FPR ≥ 20% and X4 for FPR < 12.5%.
  2. Upload the FASTA file into the server. This server translates the nucleotide sequence into amino acids, aligns it with the V3-Consensus B sequence and produces a subtype classification. In addition, it generates a prediction of the coreceptor usage (Fig. 4) expressed as false positive rate (FPR).

10. Representative Results

The geno2pheno[coreceptor] output shows a graded interpretation of the tropism. Depending on the likelihood of the coreceptor usage, the interpretation text and background color varies from green (<20% FPR), suggesting a safe administration for MVC, to yellow, suggesting a possible, low risk and finally to red. Red is the color suggesting not to prescribe MVC. In addition, the server generates a pdf report that can be printed, filled in with patient's and sample data, and sent to the physician. Examples of geno2pheno[coreceptor] output are depicted in Fig. 6.

Figure 1
Figure. 1. Schematic replication of HIV. The virion must bind to the cellular CD4 as receptor and to either the CCR5 or CXCR4 as coreceptor. The coreceptor CCR5 can be blocked with CCR5 antagonists like Maraviroc (MVC, Celsentri, Selzentry). After fusion of the viral and cellular membranes, the viral nucleocapsid is released in the cytoplasm. The nucleocapsid disassembles and the viral RNA complex is liberated into the cytoplasm. The viral reverse transcriptase (RT) transcribes the genomic RNA into proviral DNA, that is then transported to the nucleus and integrated into the host genome by the HIV integrase. Cellular RNA polymerases transcribe viral genomic and messenger RNAs from the proviral genome. The viral proteins are produced in the cytoplasm and transported to the cell surface. The virus particles bud as immature, non-infectious virions from the cells. The HIV protease cleaves the proteins producing to infectious particles. Inhibition of one of the steps leads to an interruption of the replication cycle.

The antiretroviral drugs and the replication step that they inhibit are marked in red.

The viral RNA and proviral DNA (material used for tropism or resistance analysis) are marked in green.

Figure 2
Figure 2. HIV proviral genome. The HIV particle is built with different structural proteins and houses various enzymes and proteins both from viral and cellular origin. The figure shows the location of the genes within the viral genome. The surface proteins gp120 and gp41 constitute spikes on the surface of the virion and contact the human cell to perform the membrane fusion. In the lower part of the figure, the PCR amplification products and the primers used in our protocol are shown.

Figure 3
Figure 3. Proportion of patients with low viral load (VL) measurements analyzed for drug-resistance or tropism determination at the Institute of Virology, University of Cologne (Germany).

Figure 4
Figure 4. Overall scheme of the experiment.. Please click here to see a larger version of this figure.

Figure 5
Figure 5. Sequence editing with Lasergene. The V3 amplicon is sequenced with at least one forward and one reverse primer. Lasergene alignes the ".abi" files obtained from the sequencer with the reference sequences "V3-Consensus B" and env. Lasergene creates a consensus sequence using all the row data available. The reference sequences can be marked (and are then displayed in grey) so that they do not contribute to the sample consensus sequence.

Figure 6
Figure 6. Tropism prediction reports generated by the geno2pheno[coreceptor] tool.The reports are generated as pdf files that can be saved and completed in the computer. Additional data such us patient's name, date of blood extraction, etc., can be manually included using a pdf writer program. Specific comments can be also added. These data are exclusively on the user's computer and not on the geno2pheno[coreceptor] server. Please click here to see a larger version of this figure.

Discussion

The V3 sequence permits a reliable viral tropism prediction, as shown in clinical studies3-9. In fact, genotypic determination is contemplated in the current European and German-Austrian guidelines10.

Compared to phenotypic testing, not only is the turnover time shorter (equivalent to resistance testing), but also are the costs. In addition, a major advantage of genotypic testing is that the results are graded as FPR and therefore can be adapted to the patients' needs. Trofile results, on the other hand, are simply R5 or X4 reports, and access to the raw data is not given.

Currently, The European guidelines suggest a FPR cut-off of 20%10, while the Austrian-German guidelines allow adapting the FPR cut-off specifically to each patient's needs11. In this line, for patients with a broad range of antiretroviral drugs options, higher FPR cut-offs (> 20%) are recommended. Conversely, for heavily pre-treated patients with limited therapeutic options, lower FPR cut-offs (> 5%) may be used. This kind of therapy guidance is currently ongoing by the resistance testing to NRTIs, NNRTIs, PIs, and INIs, where partially-active drugs may be included in the treatment for patients with reduced therapeutic options. In addition, with growing numbers of genotypically-guided therapy changes, the clinically-relevant FPR cut-offs are constantly being adjusted by a panel of bioinformaticians, virologists and clinicians.

Another important advantage of the genotypic tropism testing is the possibility of analyzing clinical samples with very low or even undetectable viral load (VL). In this cases, when plasma RNA is not amplifiable, the proviral DNA can be sequenced and used for reliable predictions9,12. Of note, the number of patients with low or undetectable viral load has sharply increased in the latest years. To date, the Trofile assay only allows the analysis of samples from patients with VL<1000 copies/ml. However, preliminary studies have shown that proviral DNA may be also adecuate to be tested by Trofile13.

Disclosures

This video article is sponsored by ViiV Healthcare and GlaxoSmithKline.

Acknowledgments

The authors are funded from the Corus, MedSys Cell Entry, CHAIN and Resina projects.

Materials

Name Company Catalog Number Comments
MagNA Pure Compact Nucleic Acid Isolation Kit I Roche Group 04 802 993 001
MagNA Pure Compact System Roche Group 03731146001
T3000 Thermocycler Biometra 050-723
One Step RT-PCR Kit Qiagen 210215
HotStarTaq Master Mix Kit Qiagen 203445
QIAquick PCR Purification Kit Qiagen 28106
Exonuclease I (Exo I) Fermentas EN0582
FastAP Thermosensitive Alkaline Phosphatase Fermentas EF0651
BigDye Terminator v3.1 Cycle Sequencing Kit Applied Biosystems 4337457
Sephadex G-50 Superfine GE Healthcare 17-0041-01
ABI Prism 3130 XL capillary sequencer Applied Biosystems 3130XL

DOWNLOAD MATERIALS LIST

References

  1. Heger, E., Schuelter, E., Klimkait, T., Lengauer, T., Kaiser, R., Walter, H., Sierra, S. European coreceptor proficiency panel test. 9th European Workshop on HIV & Hepatitis Treatment Strategies & Antiviral Drug Resistance, Paphos, Cyprus, (2011).
  2. Lengauer, T., Sander, O., Sierra, S., Thielen, T., Kaiser, R. Bioinformatic prediction of HIV coreceptor usage. Nature Biotech. 25, (12), 1407-1410 (2007).
  3. McGovern, R., Dong, W., Zhong, X., Knapp, D., Thielen, A., Chapman, D., Lewis, M., James, I., Valdez, H., Harrigan, P. R. Population-based Sequencing of the V3-loop Is Comparable to the Enhanced Sensitivity Trofile Assay in Predicting Virologic Response to Maraviroc of Treatment-na ve Patients in the MERIT Trial. 17th Conference on Retroviruses and Opportunistic Infections, San Francisco, USA, (2010).
  4. Reuter, S., Braken, P., Jensen, B., Sierra-Aragon, S., Oette, M., Balduin, M., Kaiser, R., Haussinger, D. Maraviroc in treatment-experienced patients with HIV-1 infection - experience from routine clinical practice. Eur. J. Med. Res. 15, (6), 231-237 (2010).
  5. Recordon-Pinson, P., Soulie, C., Flandre, P., Descamps, D., Lazrek, M., Charpentier, C., Montes, B., Trabaud, M. A., Cottalorda, J., Schneider, V., Morand-Joubert, L., Tamalet, C., Desbois, D., Mace, M., Ferre, V., Vabret, A., Ruffault, A., Pallier, C., Raymond, S., Izopet, J., Reynes, J., Marcelin, A. G., Masquelier, B. Evaluation of the genotypic prediction of HIV-1 coreceptor use versus a phenotypic assay and correlation with the virological response to maraviroc: the ANRS GenoTropism study. Antimicrob. Agents. Chemother. 54, (8), 3335-3340 (2010).
  6. Swenson, L. C., Knapp, D., Harrigan, P. R. Calibration and accuracy of the geno2pheno co-receptor algorithm for predicting HIV tropism for single and triplicate measurements of V3 genotype. 10th International Congress on Drug Therapy in HIV Infection, Glasgow, UK, (2010).
  7. Macartney, M. J., Cameron, J., Strang, A., García, A., Booth, C., Marshall, N., Johnson, M., Geretti, A. M. Use of a genotypic assay for the prediction of HIV-1 coreceptor tropism and guiding the use of CCR5 antagonists in clinical practice. 8th European HIV Drug Resistance Workshop, Sorrento, Italy, (2010).
  8. Sierra, S., Thielen, A., Reuter, S., Jensen, B., Esser, S., Fätkenheuer, G., Lengauer, T., Pfister, H., Sichtig, N., Kaiser, R. Tropism determination and clinical outcome of 61 patients under MVC treatment. 8th European HIV Drug Resistance Workshop, Sorrento, Italy, (2010).
  9. Obermeier, M., Carganico, A., Bieniek, B., Schleehauf, D., Dupke, S., Fischer, K., Freiwald, M., Neifer, S., Schuler, C., Mayr, C., Klausen, G., Köppe, S., üünsche, T., Berg, T., Baumgarten, A. Tropism testing from proviral DNA - analysis of a subgroup from the Berlin Maraviroc cohort. 8th European HIV Drug Resistance Workshop, Sorrento, Italy, (2010).
  10. Vandekerckhove, L. P., Wensing, A. M., Kaiser, R., Brun-Vezinet, F., Clotet, B., De Luca, A., Dressler, S., Garcia, F., Geretti, A. M., Klimkait, T., Korn, K., Masquelier, B. European guidelines on the clinical management of HIV-1 tropism testing. Lancet Infect Dis. 11, (5), 394-407 (2011).
  11. Walter, H., Eberle, J., Möller, H., Noah, C., Wolf, E., St rmer, M., Braun, P., Krn, K., D umer, M., Berg, T., Obermeier, M., Thielen, A., Kaiser, R. Empfehlung zur Bestimmung des HIV-1-Korezeptor-Gebrauchs (DAIG Recommendations for the HIV-1 tropism testing). (2011).
  12. Obermeier, M. J., Carganico, A., Dupke, S., Schranz, D., Cordes, C., Freiwald, M., Klausen, G., Köppe, S., Schuler, C., Mayr, C., Schleehauf, D., Berg, T., Krznaric, I., Baumgarten, A. Clinical application of genotypic co-receptor tropism testing from viral RNA and proviral DNA: week 24 analysis of the Berlin maraviroc cohort. Journal of the International AIDS Society. 13, Suppl . 4. 129-129 (2010).
  13. Toma, J., Frantzell, A., Hoh, R., Martin, J., Deeks, S., Petropoulos, C., Huang, W. Determining HIV-1 Co-receptor Tropism Using PBMC Proviral DNA Derived from Aviremic Blood Samples. 18th Conference on Retroviruses and Opportunistic Infections, San Francisco, USA, (2010).

Comments

1 Comment

  1. Has this protocol been tested on different HIV-1 subtypes?

    Reply
    Posted by: Fransje K.
    May 21, 2012 - 4:45 AM

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