A Genotypic Test for HIV-1 Tropism Combining Sanger Sequencing with Ultradeep Sequencing Predicts Virologic Response in Treatment-Experienced Patients

A tropism test is required prior to initiation of CCR5 antagonist therapy in HIV-1 infected individuals, as these agents are not effective in patients harboring CXCR4 (X4) coreceptor-using viral variants. We developed a clinical laboratory-based genotypic tropism test for detection of CCR5-using (R5...

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Published inPloS one Vol. 7; no. 9; p. e46334
Main Authors Kagan, Ron M., Johnson, Erik P., Siaw, Martin, Biswas, Pinaki, Chapman, Douglass S., Su, Zhaohui, Platt, Jamie L., Pesano, Rick L.
Format Journal Article
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Published United States Public Library of Science 27.09.2012
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Abstract A tropism test is required prior to initiation of CCR5 antagonist therapy in HIV-1 infected individuals, as these agents are not effective in patients harboring CXCR4 (X4) coreceptor-using viral variants. We developed a clinical laboratory-based genotypic tropism test for detection of CCR5-using (R5) or X4 variants that utilizes triplicate population sequencing (TPS) followed by ultradeep sequencing (UDS) for samples classified as R5. Tropism was inferred using the bioinformatic algorithms geno2pheno([coreceptor]) and PSSM(x4r5). Virologic response as a function of tropism readout was retrospectively assessed using blinded samples from treatment-experienced subjects who received maraviroc (N = 327) in the MOTIVATE and A4001029 clinical trials. MOTIVATE patients were classified as R5 and A4001029 patients were classified as non-R5 by the original Trofile test. Virologic response was compared between the R5 and non-R5 groups determined by TPS, UDS alone, the reflex strategy and the Trofile Enhanced Sensitivity (TF-ES) test. UDS had greater sensitivity than TPS to detect minority non-R5 variants. The median log(10) viral load change at week 8 was -2.4 for R5 subjects, regardless of the method used for classification; for subjects with non-R5 virus, median changes were -1.2 for TF-ES or the Reflex Test and -1.0 for UDS. The differences between R5 and non-R5 groups were highly significant in all 3 cases (p<0.0001). At week 8, the positive predictive value was 66% for TF-ES and 65% for both the Reflex test and UDS. Negative predictive values were 59% for TF-ES, 58% for the Reflex Test and 61% for UDS. In conclusion, genotypic tropism testing using UDS alone or a reflex strategy separated maraviroc responders and non-responders as well as a sensitive phenotypic test, and both assays showed improved performance compared to TPS alone. Genotypic tropism tests may provide an alternative to phenotypic testing with similar discriminating ability.
AbstractList A tropism test is required prior to initiation of CCR5 antagonist therapy in HIV-1 infected individuals, as these agents are not effective in patients harboring CXCR4 (X4) coreceptor-using viral variants. We developed a clinical laboratory-based genotypic tropism test for detection of CCR5-using (R5) or X4 variants that utilizes triplicate population sequencing (TPS) followed by ultradeep sequencing (UDS) for samples classified as R5. Tropism was inferred using the bioinformatic algorithms geno2pheno[coreceptor] and PSSMx4r5. Virologic response as a function of tropism readout was retrospectively assessed using blinded samples from treatment-experienced subjects who received maraviroc (N = 327) in the MOTIVATE and A4001029 clinical trials. MOTIVATE patients were classified as R5 and A4001029 patients were classified as non-R5 by the original Trofile test. Virologic response was compared between the R5 and non-R5 groups determined by TPS, UDS alone, the reflex strategy and the Trofile Enhanced Sensitivity (TF-ES) test. UDS had greater sensitivity than TPS to detect minority non-R5 variants. The median log10 viral load change at week 8 was −2.4 for R5 subjects, regardless of the method used for classification; for subjects with non-R5 virus, median changes were −1.2 for TF-ES or the Reflex Test and −1.0 for UDS. The differences between R5 and non-R5 groups were highly significant in all 3 cases (p<0.0001). At week 8, the positive predictive value was 66% for TF-ES and 65% for both the Reflex test and UDS. Negative predictive values were 59% for TF-ES, 58% for the Reflex Test and 61% for UDS. In conclusion, genotypic tropism testing using UDS alone or a reflex strategy separated maraviroc responders and non-responders as well as a sensitive phenotypic test, and both assays showed improved performance compared to TPS alone. Genotypic tropism tests may provide an alternative to phenotypic testing with similar discriminating ability.
A tropism test is required prior to initiation of CCR5 antagonist therapy in HIV-1 infected individuals, as these agents are not effective in patients harboring CXCR4 (X4) coreceptor-using viral variants. We developed a clinical laboratory-based genotypic tropism test for detection of CCR5-using (R5) or X4 variants that utilizes triplicate population sequencing (TPS) followed by ultradeep sequencing (UDS) for samples classified as R5. Tropism was inferred using the bioinformatic algorithms geno2pheno [coreceptor] and PSSM x4r5 . Virologic response as a function of tropism readout was retrospectively assessed using blinded samples from treatment-experienced subjects who received maraviroc (N = 327) in the MOTIVATE and A4001029 clinical trials. MOTIVATE patients were classified as R5 and A4001029 patients were classified as non-R5 by the original Trofile test. Virologic response was compared between the R5 and non-R5 groups determined by TPS, UDS alone, the reflex strategy and the Trofile Enhanced Sensitivity (TF-ES) test. UDS had greater sensitivity than TPS to detect minority non-R5 variants. The median log 10 viral load change at week 8 was −2.4 for R5 subjects, regardless of the method used for classification; for subjects with non-R5 virus, median changes were −1.2 for TF-ES or the Reflex Test and −1.0 for UDS. The differences between R5 and non-R5 groups were highly significant in all 3 cases (p<0.0001). At week 8, the positive predictive value was 66% for TF-ES and 65% for both the Reflex test and UDS. Negative predictive values were 59% for TF-ES, 58% for the Reflex Test and 61% for UDS. In conclusion, genotypic tropism testing using UDS alone or a reflex strategy separated maraviroc responders and non-responders as well as a sensitive phenotypic test, and both assays showed improved performance compared to TPS alone. Genotypic tropism tests may provide an alternative to phenotypic testing with similar discriminating ability.
A tropism test is required prior to initiation of CCR5 antagonist therapy in HIV-1 infected individuals, as these agents are not effective in patients harboring CXCR4 (X4) coreceptor-using viral variants. We developed a clinical laboratory-based genotypic tropism test for detection of CCR5-using (R5) or X4 variants that utilizes triplicate population sequencing (TPS) followed by ultradeep sequencing (UDS) for samples classified as R5. Tropism was inferred using the bioinformatic algorithms geno2pheno([coreceptor]) and PSSM(x4r5). Virologic response as a function of tropism readout was retrospectively assessed using blinded samples from treatment-experienced subjects who received maraviroc (N = 327) in the MOTIVATE and A4001029 clinical trials. MOTIVATE patients were classified as R5 and A4001029 patients were classified as non-R5 by the original Trofile test. Virologic response was compared between the R5 and non-R5 groups determined by TPS, UDS alone, the reflex strategy and the Trofile Enhanced Sensitivity (TF-ES) test. UDS had greater sensitivity than TPS to detect minority non-R5 variants. The median log(10) viral load change at week 8 was -2.4 for R5 subjects, regardless of the method used for classification; for subjects with non-R5 virus, median changes were -1.2 for TF-ES or the Reflex Test and -1.0 for UDS. The differences between R5 and non-R5 groups were highly significant in all 3 cases (p<0.0001). At week 8, the positive predictive value was 66% for TF-ES and 65% for both the Reflex test and UDS. Negative predictive values were 59% for TF-ES, 58% for the Reflex Test and 61% for UDS. In conclusion, genotypic tropism testing using UDS alone or a reflex strategy separated maraviroc responders and non-responders as well as a sensitive phenotypic test, and both assays showed improved performance compared to TPS alone. Genotypic tropism tests may provide an alternative to phenotypic testing with similar discriminating ability.
A tropism test is required prior to initiation of CCR5 antagonist therapy in HIV-1 infected individuals, as these agents are not effective in patients harboring CXCR4 (X4) coreceptor-using viral variants. We developed a clinical laboratory-based genotypic tropism test for detection of CCR5-using (R5) or X4 variants that utilizes triplicate population sequencing (TPS) followed by ultradeep sequencing (UDS) for samples classified as R5. Tropism was inferred using the bioinformatic algorithms geno2pheno.sub.[coreceptor] and PSSM.sub.x4r5 . Virologic response as a function of tropism readout was retrospectively assessed using blinded samples from treatment-experienced subjects who received maraviroc (N = 327) in the MOTIVATE and A4001029 clinical trials. MOTIVATE patients were classified as R5 and A4001029 patients were classified as non-R5 by the original Trofile test. Virologic response was compared between the R5 and non-R5 groups determined by TPS, UDS alone, the reflex strategy and the Trofile Enhanced Sensitivity (TF-ES) test. UDS had greater sensitivity than TPS to detect minority non-R5 variants. The median log.sub.10 viral load change at week 8 was -2.4 for R5 subjects, regardless of the method used for classification; for subjects with non-R5 virus, median changes were -1.2 for TF-ES or the Reflex Test and -1.0 for UDS. The differences between R5 and non-R5 groups were highly significant in all 3 cases (p<0.0001). At week 8, the positive predictive value was 66% for TF-ES and 65% for both the Reflex test and UDS. Negative predictive values were 59% for TF-ES, 58% for the Reflex Test and 61% for UDS. In conclusion, genotypic tropism testing using UDS alone or a reflex strategy separated maraviroc responders and non-responders as well as a sensitive phenotypic test, and both assays showed improved performance compared to TPS alone. Genotypic tropism tests may provide an alternative to phenotypic testing with similar discriminating ability.
A tropism test is required prior to initiation of CCR5 antagonist therapy in HIV-1 infected individuals, as these agents are not effective in patients harboring CXCR4 (X4) coreceptor-using viral variants. We developed a clinical laboratory-based genotypic tropism test for detection of CCR5-using (R5) or X4 variants that utilizes triplicate population sequencing (TPS) followed by ultradeep sequencing (UDS) for samples classified as R5. Tropism was inferred using the bioinformatic algorithms geno2pheno([coreceptor]) and PSSM(x4r5). Virologic response as a function of tropism readout was retrospectively assessed using blinded samples from treatment-experienced subjects who received maraviroc (N = 327) in the MOTIVATE and A4001029 clinical trials. MOTIVATE patients were classified as R5 and A4001029 patients were classified as non-R5 by the original Trofile test. Virologic response was compared between the R5 and non-R5 groups determined by TPS, UDS alone, the reflex strategy and the Trofile Enhanced Sensitivity (TF-ES) test. UDS had greater sensitivity than TPS to detect minority non-R5 variants. The median log(10) viral load change at week 8 was -2.4 for R5 subjects, regardless of the method used for classification; for subjects with non-R5 virus, median changes were -1.2 for TF-ES or the Reflex Test and -1.0 for UDS. The differences between R5 and non-R5 groups were highly significant in all 3 cases (p<0.0001). At week 8, the positive predictive value was 66% for TF-ES and 65% for both the Reflex test and UDS. Negative predictive values were 59% for TF-ES, 58% for the Reflex Test and 61% for UDS. In conclusion, genotypic tropism testing using UDS alone or a reflex strategy separated maraviroc responders and non-responders as well as a sensitive phenotypic test, and both assays showed improved performance compared to TPS alone. Genotypic tropism tests may provide an alternative to phenotypic testing with similar discriminating ability.A tropism test is required prior to initiation of CCR5 antagonist therapy in HIV-1 infected individuals, as these agents are not effective in patients harboring CXCR4 (X4) coreceptor-using viral variants. We developed a clinical laboratory-based genotypic tropism test for detection of CCR5-using (R5) or X4 variants that utilizes triplicate population sequencing (TPS) followed by ultradeep sequencing (UDS) for samples classified as R5. Tropism was inferred using the bioinformatic algorithms geno2pheno([coreceptor]) and PSSM(x4r5). Virologic response as a function of tropism readout was retrospectively assessed using blinded samples from treatment-experienced subjects who received maraviroc (N = 327) in the MOTIVATE and A4001029 clinical trials. MOTIVATE patients were classified as R5 and A4001029 patients were classified as non-R5 by the original Trofile test. Virologic response was compared between the R5 and non-R5 groups determined by TPS, UDS alone, the reflex strategy and the Trofile Enhanced Sensitivity (TF-ES) test. UDS had greater sensitivity than TPS to detect minority non-R5 variants. The median log(10) viral load change at week 8 was -2.4 for R5 subjects, regardless of the method used for classification; for subjects with non-R5 virus, median changes were -1.2 for TF-ES or the Reflex Test and -1.0 for UDS. The differences between R5 and non-R5 groups were highly significant in all 3 cases (p<0.0001). At week 8, the positive predictive value was 66% for TF-ES and 65% for both the Reflex test and UDS. Negative predictive values were 59% for TF-ES, 58% for the Reflex Test and 61% for UDS. In conclusion, genotypic tropism testing using UDS alone or a reflex strategy separated maraviroc responders and non-responders as well as a sensitive phenotypic test, and both assays showed improved performance compared to TPS alone. Genotypic tropism tests may provide an alternative to phenotypic testing with similar discriminating ability.
A tropism test is required prior to initiation of CCR5 antagonist therapy in HIV-1 infected individuals, as these agents are not effective in patients harboring CXCR4 (X4) coreceptor-using viral variants. We developed a clinical laboratory-based genotypic tropism test for detection of CCR5-using (R5) or X4 variants that utilizes triplicate population sequencing (TPS) followed by ultradeep sequencing (UDS) for samples classified as R5. Tropism was inferred using the bioinformatic algorithms geno2pheno [coreceptor] and PSSM x4r5 . Virologic response as a function of tropism readout was retrospectively assessed using blinded samples from treatment-experienced subjects who received maraviroc (N = 327) in the MOTIVATE and A4001029 clinical trials. MOTIVATE patients were classified as R5 and A4001029 patients were classified as non-R5 by the original Trofile test. Virologic response was compared between the R5 and non-R5 groups determined by TPS, UDS alone, the reflex strategy and the Trofile Enhanced Sensitivity (TF-ES) test. UDS had greater sensitivity than TPS to detect minority non-R5 variants. The median log 10 viral load change at week 8 was −2.4 for R5 subjects, regardless of the method used for classification; for subjects with non-R5 virus, median changes were −1.2 for TF-ES or the Reflex Test and −1.0 for UDS. The differences between R5 and non-R5 groups were highly significant in all 3 cases (p<0.0001). At week 8, the positive predictive value was 66% for TF-ES and 65% for both the Reflex test and UDS. Negative predictive values were 59% for TF-ES, 58% for the Reflex Test and 61% for UDS. In conclusion, genotypic tropism testing using UDS alone or a reflex strategy separated maraviroc responders and non-responders as well as a sensitive phenotypic test, and both assays showed improved performance compared to TPS alone. Genotypic tropism tests may provide an alternative to phenotypic testing with similar discriminating ability.
Audience Academic
Author Johnson, Erik P.
Platt, Jamie L.
Biswas, Pinaki
Chapman, Douglass S.
Su, Zhaohui
Pesano, Rick L.
Kagan, Ron M.
Siaw, Martin
AuthorAffiliation National Institute of Allergy and Infectious Diseases, United States of America
1 Department of Infectious Diseases, Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
4 Outcome Sciences, Cambridge, Massachusetts, United States of America
2 Pfizer, Collegeville, Pennsylvania, United States of America
3 Pfizer, New York, New York, United States of America
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– name: 1 Department of Infectious Diseases, Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/23029482$$D View this record in MEDLINE/PubMed
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Kagan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2012 Kagan et al 2012 Kagan et al
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– notice: Kagan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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DocumentTitleAlternate Genotypic Testing for HIV-1 Tropism
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Competing Interests: The authors have read the journal's policy and have the following conflicts: Authors RMK, EPJ, MS, JLP and RLP are employed by Quest Diagnostics, a diagnostic testing company that offers diagnostic tests for HIV. Authors PB and DSC are employed by a pharmaceutical company, Pfizer Inc, that sells antiretroviral drugs. ZS was employed as a biostatistics consultant for this project. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.
Conceived and designed the experiments: RMK ZS DSC RLP. Performed the experiments: EPJ MS. Analyzed the data: RMK PB DSC ZS. Contributed reagents/materials/analysis tools: RMK JLP RLP. Wrote the paper: RMK.
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References 10559367 - J Virol. 1999 Dec;73(12):10489-502
9440686 - Nature. 1998 Jan 15;391(6664):240
17659080 - Genome Biol. 2007;8(7):R143
19996764 - J Acquir Immune Defic Syndr. 2010 Feb;53(2):167-75
9499115 - J Virol. 1998 Mar;72(3):2509-15
17600086 - Genome Res. 2007 Aug;17(8):1195-201
19439544 - J Clin Microbiol. 2009 Jul;47(7):2292-4
21429803 - Lancet Infect Dis. 2011 May;11(5):394-407
14671134 - J Virol. 2004 Jan;78(1):524-30
21099667 - AIDS. 2011 Jan 14;25(2):257-64
20512044 - J Acquir Immune Defic Syndr. 2010 Aug;54(5):506-10
22135472 - Proc Natl Acad Sci U S A. 2011 Dec 13;108(50):20166-71
17634242 - J Virol. 2007 Oct;81(19):10209-19
18018768 - Antivir Ther. 2007;12(7):1097-106
21592414 - BMC Genomics. 2011;12:245
17683002 - Clin Infect Dis. 2007 Sep 1;45(5):643-9
22286879 - Intervirology. 2012;55(2):113-7
21734029 - J Clin Microbiol. 2011 Sep;49(9):3380-2
19424056 - AIDS. 2009 Jun 19;23(10):1209-18
16923919 - J Leukoc Biol. 2006 Nov;80(5):965-72
14645592 - J Virol. 2003 Dec;77(24):13376-88
21890778 - Clin Infect Dis. 2011 Oct;53(7):732-42
17596837 - J Med Virol. 2007 Aug;79(8):1040-6
21248683 - J Vis Exp. 2010;(46). pii: 2531. doi: 10.3791/2531
20530226 - Antimicrob Agents Chemother. 2010 Aug;54(8):3335-40
20151839 - J Infect Dis. 2010 Mar 15;201(6):803-13
19874596 - BMC Bioinformatics. 2009;10:362
19440459 - Open Virol J. 2008;2:8-14
17116663 - Antimicrob Agents Chemother. 2007 Feb;51(2):566-75
20427374 - J Antimicrob Chemother. 2010 Jul;65(7):1486-92
20736814 - AIDS. 2010 Oct 23;24(16):2517-25
21288824 - J Infect Dis. 2011 Jan 15;203(2):237-45
16570858 - Curr Top Microbiol Immunol. 2006;303:97-120
18614865 - AIDS. 2008 Jul 31;22(12):1425-31
20591141 - Retrovirology. 2010;7:56
16056220 - Nature. 2005 Sep 15;437(7057):376-80
18832245 - N Engl J Med. 2008 Oct 2;359(14):1442-55
16251317 - Antimicrob Agents Chemother. 2005 Nov;49(11):4721-32
19479085 - PLoS One. 2009;4(5):e5683
21427401 - Clin Infect Dis. 2011 Apr 1;52(7):925-8
12876899 - AIDS Rev. 2003 Apr-Jun;5(2):104-12
9034141 - J Exp Med. 1997 Feb 17;185(4):621-8
19874179 - J Infect Dis. 2009 Dec 1;200(11):1724-8
18301059 - AIDS. 2008 Feb 19;22(4):469-79
21752271 - Retrovirology. 2011;8:56
16641282 - J Virol. 2006 May;80(10):4909-20
19432546 - J Infect Dis. 2009 Jun 1;199(11):1638-47
18832244 - N Engl J Med. 2008 Oct 2;359(14):1429-41
19261623 - J Antimicrob Chemother. 2009 May;63(5):1006-10
1905842 - Science. 1991 Jul 5;253(5015):71-4
References_xml – reference: 21890778 - Clin Infect Dis. 2011 Oct;53(7):732-42
– reference: 21427401 - Clin Infect Dis. 2011 Apr 1;52(7):925-8
– reference: 17600086 - Genome Res. 2007 Aug;17(8):1195-201
– reference: 19874596 - BMC Bioinformatics. 2009;10:362
– reference: 17634242 - J Virol. 2007 Oct;81(19):10209-19
– reference: 21592414 - BMC Genomics. 2011;12:245
– reference: 18018768 - Antivir Ther. 2007;12(7):1097-106
– reference: 19996764 - J Acquir Immune Defic Syndr. 2010 Feb;53(2):167-75
– reference: 19479085 - PLoS One. 2009;4(5):e5683
– reference: 19874179 - J Infect Dis. 2009 Dec 1;200(11):1724-8
– reference: 1905842 - Science. 1991 Jul 5;253(5015):71-4
– reference: 14671134 - J Virol. 2004 Jan;78(1):524-30
– reference: 22135472 - Proc Natl Acad Sci U S A. 2011 Dec 13;108(50):20166-71
– reference: 20736814 - AIDS. 2010 Oct 23;24(16):2517-25
– reference: 19440459 - Open Virol J. 2008;2:8-14
– reference: 21752271 - Retrovirology. 2011;8:56
– reference: 19424056 - AIDS. 2009 Jun 19;23(10):1209-18
– reference: 19432546 - J Infect Dis. 2009 Jun 1;199(11):1638-47
– reference: 16251317 - Antimicrob Agents Chemother. 2005 Nov;49(11):4721-32
– reference: 18301059 - AIDS. 2008 Feb 19;22(4):469-79
– reference: 16641282 - J Virol. 2006 May;80(10):4909-20
– reference: 21248683 - J Vis Exp. 2010;(46). pii: 2531. doi: 10.3791/2531
– reference: 20512044 - J Acquir Immune Defic Syndr. 2010 Aug;54(5):506-10
– reference: 16923919 - J Leukoc Biol. 2006 Nov;80(5):965-72
– reference: 22286879 - Intervirology. 2012;55(2):113-7
– reference: 20427374 - J Antimicrob Chemother. 2010 Jul;65(7):1486-92
– reference: 18614865 - AIDS. 2008 Jul 31;22(12):1425-31
– reference: 16056220 - Nature. 2005 Sep 15;437(7057):376-80
– reference: 10559367 - J Virol. 1999 Dec;73(12):10489-502
– reference: 20530226 - Antimicrob Agents Chemother. 2010 Aug;54(8):3335-40
– reference: 18832244 - N Engl J Med. 2008 Oct 2;359(14):1429-41
– reference: 9499115 - J Virol. 1998 Mar;72(3):2509-15
– reference: 19439544 - J Clin Microbiol. 2009 Jul;47(7):2292-4
– reference: 20591141 - Retrovirology. 2010;7:56
– reference: 21429803 - Lancet Infect Dis. 2011 May;11(5):394-407
– reference: 17596837 - J Med Virol. 2007 Aug;79(8):1040-6
– reference: 17659080 - Genome Biol. 2007;8(7):R143
– reference: 9034141 - J Exp Med. 1997 Feb 17;185(4):621-8
– reference: 16570858 - Curr Top Microbiol Immunol. 2006;303:97-120
– reference: 21734029 - J Clin Microbiol. 2011 Sep;49(9):3380-2
– reference: 9440686 - Nature. 1998 Jan 15;391(6664):240
– reference: 20151839 - J Infect Dis. 2010 Mar 15;201(6):803-13
– reference: 14645592 - J Virol. 2003 Dec;77(24):13376-88
– reference: 17116663 - Antimicrob Agents Chemother. 2007 Feb;51(2):566-75
– reference: 19261623 - J Antimicrob Chemother. 2009 May;63(5):1006-10
– reference: 21099667 - AIDS. 2011 Jan 14;25(2):257-64
– reference: 21288824 - J Infect Dis. 2011 Jan 15;203(2):237-45
– reference: 12876899 - AIDS Rev. 2003 Apr-Jun;5(2):104-12
– reference: 17683002 - Clin Infect Dis. 2007 Sep 1;45(5):643-9
– reference: 18832245 - N Engl J Med. 2008 Oct 2;359(14):1442-55
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Snippet A tropism test is required prior to initiation of CCR5 antagonist therapy in HIV-1 infected individuals, as these agents are not effective in patients...
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SubjectTerms Acquired immune deficiency syndrome
Adult
Aged
AIDS
Algorithms
Anti-HIV Agents - metabolism
Anti-HIV Agents - pharmacology
Antiretroviral drugs
Biological Assay
Biology
Biomarkers, Pharmacological
CCR5 protein
CCR5 Receptor Antagonists
Clinical trials
CXCR4 protein
Cyclohexanes - metabolism
Cyclohexanes - pharmacology
Diagnosis
Female
Genetic aspects
Genotyping Techniques
Glycoproteins
High-Throughput Nucleotide Sequencing
HIV
HIV infections
HIV Infections - drug therapy
HIV Infections - metabolism
HIV Infections - virology
HIV tests
HIV-1 - drug effects
HIV-1 - physiology
Human immunodeficiency virus
Humans
Infectious diseases
Male
Medical research
Medicine
Middle Aged
Patients
Predictive Value of Tests
Receptors, CCR5 - metabolism
Receptors, CXCR4 - metabolism
Retrospective Studies
Sensitivity
Sensitivity enhancement
Triazoles - metabolism
Triazoles - pharmacology
Tropism
Viral Tropism
Viruses
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Title A Genotypic Test for HIV-1 Tropism Combining Sanger Sequencing with Ultradeep Sequencing Predicts Virologic Response in Treatment-Experienced Patients
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