<!--#if expr="$title" --> <!--#echo var="title" --> <!--#else --> HIV Drug Resistance Database <!--#endif -->
Stanford University HIV Drug Resistance Database - A curated public database designed to represent, store, and analyze the divergent forms of data underlying HIV drug resistance.

MARVEL on RT mutations at position 219


HIVdb Algorithm: Comments & Scores
  • K219N/R are accessory TAMS that usually occur in combination with multiple other TAMs.
  • K219Q/E are accessory TAMS associated with reduced susceptibility to AZT and possibly d4T.
  • K219W is an uncommon NRTI-selected mutation

Mutation3TCFTCABCAZTD4TDDITDF
K219E005101055
K219N005101055
K219Q005101055
K219R005101055
K219W005101055
Footnote:Mutation scores on the left are derived from published literature linking mutations and ARVs (the complete details can be found in the HIVdb Release Notes).
Genotype-treatment correlation
Mutation frequency according to subtype and drug-class experience.
The frequency of each mutation at position 219 according to subtype and drug-class experience. Data are shown for the 8 most common subtypes. The number of persons in each subtype/treatment category is shown beneath the subtype. Mutations occurring at a frequency >0.5% are shown. Each mutation is also a hyper-link to a separate web page with information on each isolate, including literature references with PubMed abstracts, the GenBank accession number, and complete sequence and treatment records.

PosWTRTI Naive Persons NRTI (but no NNRTI) Treated Persons
A
3849
B
25469
C
8623
D
1319
F
723
G
1577
AE
5538
AG
2906
 
A
205
B
4133
C
551
D
127
F
82
G
146
AE
325
AG
78
219 K          E 3.2
Q 2.7
Q 12
E 1.9
R 0.9
N 0.8
Q 1.6
E 0.6
Q 3.7
E 2.8
T 0.9
R 0.9
Q 7.8
E 3.9
W 1.3
N 1.3
Q 7.8
E 6.4
R 1.4
N 0.7
G 0.7
Q 26
E 1.9
E 3.9
Q 2.6
Footnote: The query page Mutation Prevalence According to Subtype and Treatment to examine the frequency of all mutations according to subtype and treatment; The program HIVSeq provides similar output for mutations in user-submitted sequences; A complete description of the program that generates these tables can be found at Rhee et al AIDS 2006.
 

Mutation frequency according to treatment with individual ARVs.
The first row shows the frequency of the mutation in persons who are RTI-naive (indicated in green). The second row shows the frequency of the mutation in persons who have received one or more NRTIs (+/- NNRTIs). The following rows show the frequency of the mutation in persons who have received only a single NRTI. Mutation rates that differ significantly between treated and untreated isolates are indicated in yellow.
MutationNRTINNRTINumSeqNumMut% Mutantp
K219D00512510  
K219D>=1>=025223630.200.000
K219DAZT>=04530  
K219DDDI>=0520  
K219DD4T>=0540  
K219DABC>=0470  
K219DD4T+3TC>=0322910.000.062
K219DAZT+3TC>=0227130.100.000
K219DD4T+DDI>=04610  
K219DAZT+DDI>=05690  
K219DABC+3TC>=028310.300.000
K219DTDF+3TC>=03680  
K219DTDF+FTC>=03510  
MutationNRTINNRTINumSeqNumMut% Mutantp
K219E0051251140.00 
K219E>=1>=02522314245.600.000
K219EAZT>=04530  
K219EDDI>=0520  
K219ED4T>=0540  
K219EABC>=0470  
K219ED4T+3TC>=032291003.000.000
K219EAZT+3TC>=02271924.000.000
K219ED4T+DDI>=046191.900.000
K219EAZT+DDI>=0569244.200.000
K219EABC+3TC>=028372.400.000
K219ETDF+3TC>=0368143.800.000
K219ETDF+FTC>=0351113.100.000
MutationNRTINNRTINumSeqNumMut% Mutantp
K219G00512510  
K219G>=1>=025223210.000.000
K219GAZT>=04530  
K219GDDI>=0520  
K219GD4T>=0540  
K219GABC>=04712.100.000
K219GD4T+3TC>=0322920.000.000
K219GAZT+3TC>=0227120.000.000
K219GD4T+DDI>=046120.400.000
K219GAZT+DDI>=05690  
K219GABC+3TC>=02830  
K219GTDF+3TC>=03680  
K219GTDF+FTC>=03510  
MutationNRTINNRTINumSeqNumMut% Mutantp
K219H00512510  
K219H>=1>=025223610.200.000
K219HAZT>=04530  
K219HDDI>=0520  
K219HD4T>=0540  
K219HABC>=0470  
K219HD4T+3TC>=0322960.100.000
K219HAZT+3TC>=0227110.000.023
K219HD4T+DDI>=04610  
K219HAZT+DDI>=05690  
K219HABC+3TC>=02830  
K219HTDF+3TC>=03680  
K219HTDF+FTC>=03510  
MutationNRTINNRTINumSeqNumMut% Mutantp
K219N0051251190.00 
K219N>=1>=0252237562.900.000
K219NAZT>=04530  
K219NDDI>=05211.900.001
K219ND4T>=0540  
K219NABC>=0470  
K219ND4T+3TC>=03229300.900.000
K219NAZT+3TC>=02271120.500.000
K219ND4T+DDI>=046161.300.000
K219NAZT+DDI>=056910.100.547
K219NABC+3TC>=028362.100.000
K219NTDF+3TC>=036820.500.000
K219NTDF+FTC>=035130.800.000
MutationNRTINNRTINumSeqNumMut% Mutantp
K219Q0051251480.00 
K219Q>=1>=025223276010.900.000
K219QAZT>=04535211.400.000
K219QDDI>=05223.800.000
K219QD4T>=05423.700.000
K219QABC>=0470  
K219QD4T+3TC>=032291735.300.000
K219QAZT+3TC>=022711576.900.000
K219QD4T+DDI>=0461326.900.000
K219QAZT+DDI>=056910518.400.000
K219QABC+3TC>=02830  
K219QTDF+3TC>=0368143.800.000
K219QTDF+FTC>=035120.500.046
MutationNRTINNRTINumSeqNumMut% Mutantp
K219R0051251350.00 
K219R>=1>=0252236662.600.000
K219RAZT>=04530  
K219RDDI>=0520  
K219RD4T>=0540  
K219RABC>=0470  
K219RD4T+3TC>=03229571.700.000
K219RAZT+3TC>=0227170.300.000
K219RD4T+DDI>=046151.000.000
K219RAZT+DDI>=056940.700.000
K219RABC+3TC>=02830  
K219RTDF+3TC>=036841.000.000
K219RTDF+FTC>=035120.500.012
MutationNRTINNRTINumSeqNumMut% Mutantp
K219T0051251110.00 
K219T>=1>=025223150.000.013
K219TAZT>=045310.200.221
K219TDDI>=0520  
K219TD4T>=0540  
K219TABC>=0470  
K219TD4T+3TC>=0322930.000.059
K219TAZT+3TC>=022710  
K219TD4T+DDI>=04610  
K219TAZT+DDI>=056910.100.308
K219TABC+3TC>=02830  
K219TTDF+3TC>=03680  
K219TTDF+FTC>=035110.200.142
MutationNRTINNRTINumSeqNumMut% Mutantp
K219W00512510  
K219W>=1>=025223610.200.000
K219WAZT>=04530  
K219WDDI>=0520  
K219WD4T>=0540  
K219WABC>=0470  
K219WD4T+3TC>=0322970.200.000
K219WAZT+3TC>=0227150.200.000
K219WD4T+DDI>=046110.200.000
K219WAZT+DDI>=056910.100.000
K219WABC+3TC>=02830  
K219WTDF+3TC>=03680  
K219WTDF+FTC>=03510  
Footnote: About one-half of the untreated isolates belong to non-subtype B isolates; About 20% of the treated isolates belong to non-subtype B isolates; A page containing summaries for all of the mutations at this position can be found here.

Genotype-phenotype correlation
Phenotypes of top 10 common patterns of drug resistance mutations with mutations at position 219.
Mutation pattern data is not available for K219.

A complete summary of additional in vitro susceptibility data for viruses with K219 obtained using other assays including the Antivirogram can be found here.

 

Phenotypic coefficients using machine learning
Least Square Regression (LSR) was used to learn the relative contribution of each mutation to the fold decrease in susceptibility for an ARV. The figure on the left (click to enlarge the figure) shows the regression coefficients (which correlate with the contribution to resistance) for the 23 nonpolymorphic NRTI-resistance mutations shown to contribute decreased susceptibility to at least one NRTI. A complete description of the method that generates this figure can be found at Rhee et al PNAS 2006.

 

Genotype-clinical outcome correlation
Studies correlating baseline genotype and virological response to an ARV therapy with or without mutations at 219.

ReferencePrevious NRTIFollow-up NRTIOther RxNo.PtsWeeksEffect of baseline mutations on response
Katlama(2000)>=2 NRTIs, (rare PI, NNRTI)Addition of ABCNone9216-48This study includes a subset of patients in the above analysis. M184V did not preclude an antiviral response. At week 16, 16/25 with M184V had RNA <=400 or RNA decrease of >=1 log.
Brun-Vezinet(2003)NRTI, PI, NNRTIABC as part of a new HAART regimenOB17512RNA decrease was -0.2 logs, -0.7 logs, and -1.6 logs in persons containing 5-6, 4, or <4 mutations at the following positions: 41, 67, 210, 215, 74, and 184.
Lanier(2004)>=2 NRTIs, (rare PI, NNRTI)Addition of ABCNone1664Meta-analysis of 5 intensification studies. Data on concomitant NNRTIs and PIs are not available. Median baseline RNA was 3.9 logs. 151/166 pts had >=1 NRTI mutation (usually TAMs and M184V). RNA decrease with (i) M184V alone >= 0.74 logs; (ii) 1 TAM >= 0.56 logs; (iii) M184V + 1 TAM >= 0.95 logs; (iv) 2-3 TAMs or 2 TAMs+ M184V >= ~0.35 logs; (v) M184V + 3 TAMs >= 0.18 logs; (vi) 4 TAMs >= 0.36 logs.
Winters(2003)NRTINRTI changeNFV, EFV, NFV/EFV10416-48In pts with isolates containing M184V substitution of ddI for 3TC was associated with a decreased risk of virologic failure (confirmed RNA >2000)
Frank(2004)0, 1, and 2 NRTIsddIHydroxy-urea13424Hydroxyurea + ddI led to a greater RNA decrease than ddI alone at week 8 (~1.8 vs 0.8 logs). The combination was associated with a sustained response ~1.2-1.6 logs at week 24. At week 8, there was a greater reduction in RNA in the NRTI-na´ve group (1.7 vs 1.2 logs) but there was little difference in response between those with M184V (1.2 logs in 18 3TC-experienced patients with M184V vs 1.4 logs in 61 3TC-na´ve patients).
Molina(2005)NRTI, PI, NNRTIAddition of ddINone1094Median overall response was 0.6 log RNA decrease. M184V alone >= 0.8 log RNA decrease. Pts with 0-1 TAMs >= 0.8-1.0 log RNA decrease (n=40); 2 TAMs >= 0.7 log RNA decrease (n=10); 3 TAMs >= 0.5 log RNA decrease (n=25); 4 TAMs >= 0.2 log RNA decrease (n=21). Median log RNA decrease in the presence of L74V (n=9) was 0.1 logs.
Sproat(2005)NRTI, PI, NNRTIddI as part of a new HAART regimenOB2814-48Observational study. Overall RNA decrease was 1.2, 1.0, 0.8, and 0.8 at weeks 4, 12, 24, and 48. There was no significant difference in RNA response between the 105 pts with and the 176 pts without M184V.
De Luca(2007)NRTI (including ddI in 76%) +/- NNRTI +/- PIddI as part of a new HAART regimenOB48512M41L, E44D/A/G, T69D/S/N/A, L210W, T215Y or T215 revertants, and L228H/R were associated with a reduced RNA decrease. D123E/N/G/S was associated with improved virological response. The following weighted score was derived: (M41L x 2) + E44D/A/G + T69D/S/N/A + (L210W x 2) + T215Y revertants + L228H/R - D123E/N/G/S. Relative to those with a score <=0, those with a score of 1 to 3 had a 0.34 decreased log RNA response and those with a score >=4 had a 0.68 decreased RNA log response.
Barrios(2003)NRTI, PI, NNRTITDF as part of a new HAART regimenOB15324Observational study. The presence of 41L, 210W, and 215Y were inversely associated with RNA response.
Masquelier(2004)NRTI, PI, NNRTITDF as part of a new HAART regimenOB16112Observational study. The strongest association with RNA decrease was the set of the 7 mutations: M41L, E44D, D67N, T69D/N/S, L74V, L210W, and T215Y/F : (i) <3 mutations >= median RNA reduction of -1.3 logs; (ii) 3-5 mutations >= median RNA reduction of 0.8 logs; (iii) >=6 mutations >= median increase of 0.1 logs. K65R and T69ins were not included because although they cause phenotypic resistance, there were insufficient pts with these mutations.
Miller(2004)NRTI, PI, NNRTIAddition of TDFNone22224-48Among pts receiving TDF, there was a mean 0.6 log RNA decrease at week 24 by ITT. Pts with 215Y/F alone had a 0.7 log RNA decrease. Pts with M41L+L210W + T215Y had a 0.2 log RNA decrease. Mutations at positions 67, 70, and 219 did not appear to affect response. K65R was present at baseline in 6 pts and was associated with lack of response. M184V was associated with a modest but significant improved response particularly in the absence of TAMs.
Abbreviations:
    OB - optimized background; TAM - thymidine analogue mutation (Type I: M41L, L210W, T215Y; Type II: D67N, K70R, T215F, K219Q/E;);

References:
  • Katlama C., Clotet B., Plettenberg A., Jost J., Arasteh K., Bernasconi E., Jeantils V., Cutrell A., Stone C., Ait-Khaled M., Purdon S. The role of abacavir (ABC, 1592) in antiretroviral therapy-experienced patients: results from a randomized, double-blind, trial. CNA3002 European Study Team. AIDS. 2000 May 5;14(7):781-9.
  • Brun-Vezinet F., Descamps D., Ruffault A., Masquelier B., Calvez V., Peytavin G., Telles F., Morand-Joubert L., Meynard J.L., Vray M., Costagliola D. Clinically relevant interpretation of genotype for resistance to abacavir. AIDS. 2003 Aug 15;17(12):1795-802.
  • Lanier E.R., Ait-Khaled M., Scott J., Stone C., Melby T., Sturge G., St Clair M., Steel H., Hetherington S., Pearce G., Spreen W., Lafon S. Antiviral efficacy of abacavir in antiretroviral therapy-experienced adults harbouring HIV-1 with specific patterns of resistance to nucleoside reverse transcriptase inhibitors. Antivir Ther. 2004 Feb;9(1):37-45.
  • Winters M.A., Bosch R.J., Albrecht M.A., Katzenstein D.A. Clinical impact of the M184V mutation on switching to didanosine or maintaining lamivudine treatment in nucleoside reverse-transcriptase inhibitor-experienced patients. J Infect Dis. 2003 Aug 15;188(4):537-40.
  • Frank I., Bosch R.J., Fiscus S., Valentine F., Flexner C., Segal Y., Ruan P., Gulick R., Wood K., Estep S., Fox L., Nevin T., Stevens M., Eron J.J. Jr. Activity, safety, and immunological effects of hydroxyurea added to didanosine in antiretroviral-naive and experienced HIV type 1-infected subjects: a randomized, placebo-controlled trial, ACTG 307. AIDS Res Hum Retroviruses. 2004 Sep;20(9):916-26.
  • Molina J.M., Marcelin A.G., Pavie J., Heripret L., De Boever C.M., Troccaz M., Leleu G., Calvez V.. Didanosine in HIV-1-infected patients experiencing failure of antiretroviral therapy: a randomized placebo-controlled trial. J Infect Dis. 2005 Mar 15;191(6):840-7.
  • Sproat M., Pozniak A.L., Peeters M., Winters B., Hoetelmans R., Graham N.M., Gazzard B.G. The influence of the M184V mutation in HIV-1 reverse transcriptase on the virological outcome of highly active antiretroviral therapy regimens with or without didanosine. Antivir Ther. 2005;10(2):357-61.
  • De Luca A., Giambenedetto S.D., Trotta M.P., Colafigli M., Prosperi M., Ruiz L., Baxter J., Clevenbergh P., Cauda R., Perno C.F., Antinori A. Improved interpretation of genotypic changes in the HIV-1 reverse transcriptase coding region that determine the virological response to didanosine. J Infect Dis. 2007 Dec 1;196(11):1645-53.
  • Barrios A., de Mendoza C., Martin-Carbonero L., Ribera E., Domingo P., Galindo M.J., Galvez J., Estrada V., Dalmau D., Asensi V., Soriano V. Role of baseline human immunodeficiency virus genotype as a predictor of viral response to tenofovir in heavily pretreated patients. Clin Microbiol. 2003 Sep;41(9):4421-3.
  • Masquelier B., Tamalet C., Montes B., Descamps D., Peytavin G., Bocket L., Wirden M., Izopet J., Schneider V., Ferre V., Ruffault A., Palmer P., Trylesinski A., Miller M., Brun-Vezinet F., Costagliola D. Genotypic determinants of the virological response to tenofovir disoproxil fumarate in nucleoside reverse transcriptase inhibitor-experienced patients. Antivir Ther. 2004 Jun;9(3):315-23.
  • Miller M.D., Margot N., Lu B., Zhong L., Chen S.S., Cheng A., Wulfsohn M. Genotypic and phenotypic predictors of the magnitude of response to tenofovir disoproxil fumarate treatment in antiretroviral-experienced patients. J Infect Dis. 2004 Mar 1;189(5):837-46.