SnoB SnoB
INI-resistance in non-B Subtypes
Stefan Esser, Saleta Sierra-Aragón, Melanie Balduin, Andre Altmann, Hauke Walter, Rolf Kaiser
SnoB SnoB INI-resistance in non-B Subtypes Stefan Esser, Saleta - - PowerPoint PPT Presentation
SnoB SnoB INI-resistance in non-B Subtypes Stefan Esser, Saleta Sierra-Aragn, Melanie Balduin, Andre Altmann, Hauke Walter, Rolf Kaiser SnoB SnoB SnoB Study Impact of HIV-1 integrase subtype-specific polymorphisms in therapy nave non-B
Stefan Esser, Saleta Sierra-Aragón, Melanie Balduin, Andre Altmann, Hauke Walter, Rolf Kaiser
Department of Dermatology and Venerology, University Hospital Essen, Germany
Impact of HIV-1 integrase subtype-specific polymorphisms in therapy naïve non-B infected patients
(RAL, MK-0518, Isentress)
continents migrate to Germany
like in some other European countries
regions
samples with many different HIV-subtypes
polymorphisms in the integrase genes of non-B-subtypes in respect to INI resistance.
expected or known non-B subtype infection before initiating antiretroviral therapy.
integrase genes and constructing an interpretation system.
phenotypic assays.
– To investigate the natural polymorphisms in the integrase genes of HIV non-B subtypes
– To compare non-B subtypes polymorphisms with HIV-1 subtype B and known genotypic integrase resistance mutations – To examine the impact of non-B subtypes polymorphisms on RAL activity in vitro – To determine whether non-B subtypes carry natural resistance to the INI Raltegravir
– Therapy-naïve HIV-positive patients with known or expected non-B subtype infection independent of transmitted resistance – Signed an informed consent prior to any study procedures
– Therapy-experienced HIV-positive patients
Einsender n B non-B Ø To do MX01, Uniklinik Düsseldorf 121 60 36 22 3
115 65 26 14 10
53 2 44 7
45 17 21 7 Klinikum Osnabrück GmbH 24 14 5 2 3
13 7 1 3 2 Labor Lad emannbogen, Hamburg 13 8 5 Charité, Berlin 9 6 3
5 1 4 Uniklinik Freiburg 5 1 2 2 Poliklinik, Uniklinik München 4 1 3 Uniklink Hamburg-Eppendorf 4 4
2 2
2 1 1 Medizinische Hochschul e Hannover 2 1 1 Studien und Projekte GmbH, Hamburg 2 2
1 1
1 1
1 1
1 1
1 1
1 1 Klinikum Dortmund gGmbH 1 1 Labor Dr . Quade, Köln 1 1 427 175 168 66 18
24 collaborating centres 24 collaborating centres
n = 427
Female Male Unknown Gender 113
(26.4%)
274
(64.2%)
40
(9.4%)
Median Max. Min. Unknown1 Age 36 years 77 years 0 years 22
(5.2%)
Time to analysis1 4 months 19 years 0 months 198
(46.4%)
VL 48282 5100000 <40 166
(38.9%)
CD4+-T-cell counts 320 1056 3 296
(69.3%)
Africa Asia+ Middle East
America + EU Warshau Treaty Unknown
Nationality 75
(17.6%)
13
(3.0%)
265
(62.1%)
15
(3.5%)
59
(13.8%)
1Time-span from first HIV+ diagnosis to IN analysis
n=427 Nationality Subtype Africa Asia + Middle East
America + EU Warsaw Treaty
Unknown
Unknown
(n=84)
14
(16.7%)
(56.0%)
2
(2.4%)
21
(25.0%)
B
(n=175)
3
(1.7%)
4
(2.3%)
148
(84.6%)
2
(1.1%)
18
(10.3%)
non-B
(n=168)
58
(34.5%)
9
(5.4%)
70
(41.7%)
11
(6.5%)
20
(11.9%)
Samples: Current Status
n = 175
Female Male Unknown Gender 14
(8.0%)
156
(89.1%)
5
(2.9%)
Median Max. Min. Unknown1 Age 37 years 77 years 0 months 3
(1.7%)
Time to analysis1 1 month 14 years 5 days 83
(47.4%)
VL 74488 5100000 <40 74
(42.3%)
CD4+-T-cell counts 295 989 3 108
(61.7%)
Africa Asia + Middle East America + EU Warshau Treaty Unknown Nationality 3
(1.7%)
4
(2.3%)
148
(84.6%)
2
(1.1%)
18
(10.3%)
1Time-span from first HIV+ diagnosis to IN analysis
n=427 Nationality Subtype Africa Asia + Middle East
America + EU Warsaw Treaty
Unknown
Unknown
(n=84)
14
(16.7%)
(56.0%)
2
(2.4%)
21
(25.0%)
B
(n=175)
3
(1.7%)
4
(2.3%)
148
(84.6%)
2
(1.1%)
18
(10.3%)
non-B
(n=168)
58
(34.5%)
9
(5.4%)
70
(41.7%)
11
(6.5%)
20
(11.9%)
Samples: Current Status
n = 168
Female Male Unknown Gender 82
(48.8%)
70
(41.7%)
16
(9.5%)
Median Max. Min. Unknown1 Age 35 years 71 years 0 months 12
(7.1%)
Time to analysis1 6 months 11 years 8 days 71
(42.3%)
VL 46100 163000 88 42
(25.0%)
CD4+-T-cell counts 309 859 8 113
(67.3%)
Africa Asia + Middle East America + EU Warshau Treaty Unknown Nationality 58
(34.5%)
9
(5.4%)
70
(41.6%)
11
(6.6%)
20
(11.9%)
1Time-span from first HIV+ diagnosis to IN analysis
n=168
Nationality Subtype # of samples Africa Asia + Middle East America + EU Warsaw Treaty Unknown
02_AG 44
(26.2%)
20
(45.5%)
(25.0%)
2
(4.5%)
11
(25.0%)
A 42
(25.0%)
10
(23.8%)
2
(4.8%)
18
(42.9%)
7
(16.7%)
5
(11.9%)
C 23
(13.7%)
8
(34.8%)
1
(4.3%)
11
(64.7%)
(8.7%)
01_AE 17
(10.1%)
1
(5.9%)
5
(29.4%)
9
(60.0%)
15
(8.9%)
6
(40%)
(60.0%)
11
(6.6%)
4
(36.4%)
1
(9.1%)
4
(36.4%)
2
(18.2%)
7
(4.2%)
3
(42.9%)
(57.1%)
3
(1.8%)
3
(100%)
3
(1.8%)
1
(33.3%)
(33.3%)
(33.3%)
12_BF 2
(1.2%)
(50%)
(50%)
10_CD 1
(0.6%)
1
(100%)
Institute of Virology, University of Cologne, Germany
Hazuda et al. 2007; Lataillade et al. 2007; Malet et
N155H Q148R/H/K Y143R
Primary mutations Secondary mutations
E138A/K G140S/A L74M T97A E92Q L74M T97A V151I Y143H G163R
INI-resistance associated mutations INI-resistance associated mutations
N155H Q148R/H/K Y143R
Primary mutations Secondary mutations
E138A/K G140S/A L74M T97A E92Q L74M T97A V151I Y143H G163R
Detected INI-resistance associated mutations Detected INI-resistance associated mutations
Hazuda et al. 2007; Lataillade et al. 2007; Malet et
Secondary mutations with a prevalence of 0.3 - 2.6 %, and limited to ≤ 1 per genome.
Accessory mutations: Detected in cell culture under RAL / EVG. In vivo importance unknown. H51Y, T66AK, V72I, L74I, S119GPRT, T112I, F121Y, T125AK, A128T, Q146K, S147G, S153AY, M154I, K156N, E157Q, V165I, V201I, I203M, T206S, S230RN, V249I, R263K, C280Y
INI-resistance associated mutations INI-resistance associated mutations
Accessory mutations: Detected in cell culture under RAL / EVG. In vivo importance unknown. H51Y, T66AK, V72I, L74I, S119GPRT, T112I, F121Y, T125AK, A128T, Q146K, S147G, S153AY, M154I, K156N, E157Q, V165I, V201I, I203M, T206S, S230RN, V249I, R263K, C280Y
Detected INI-resistance associated mutations Detected INI-resistance associated mutations
accessory mutations with a prevalence of 0.6 - 73.5 %
B
n=175
non B
n=168 n % n % p value (two-tailed) Y143CR 1.000 Q148HKR 1.000 N155H 1.000 T66I 1.000 L74M 3 1.7 5 3.0 0.495 E92Q 1.000 T97A 2 1.1 7 4.2 0.448 E138AK 1.000 G140AS 1.000 Y143H 1 0.6 0.490 V151I 3 1.7 3 1.8 1.000 G163R 1 0.6 0.490
primary secondary
INI-resistance associated mutations: subtypes INI-resistance associated mutations: subtypes
B
n= 1 7 5
non B
n= 1 6 8 n % n % p value (two-tailed) H51Y 1.000 T66AK 1.000 V7 2 I 1 2 7 7 2.6 90 53.6 p < 0 .0 0 1 L7 4 I 9 5.1 3 3 1 9.6 p < 0 .0 0 1 S1 1 9 GPRT 8 3 4 7.4 48 28.6 p < 0 .0 0 1 T1 1 2 I 16 9.1 2 9 1 7.3 0 3 7 F121Y 1.000 T1 2 5 AK 57 32.6 14 4 8 5.7 p < 0 .0 0 1 A128T 2 1.2 0.239 Q146K 1.000 S147G 1.000 S153AY 1 0.6 0.490 M154I 5 2.9 3 1.8 0.724 K1 5 6 N 1 6 9 .1 1 0.6 p < 0 .0 0 1 E157Q 4 2.3 5 3.0 0.746 V165I 8 4.6 16 9.5 090 V2 0 1 I 93 53.1 15 9 9 4.6 p < 0 .0 0 1 I203M 9 5.1 8 4.8 1.000 T2 0 6 S 28 16.0 7 1 4 2.3 p < 0 .0 0 1 S2 3 0 RN 1 9 1 0.9 2 1.2 p < 0 .0 0 1 V249I 1.000 R263K 1.000 C280Y 1.000
additional
INI-resistance associated mutations: subtypes INI-resistance associated mutations: subtypes
INI-resistance associated mutations: subtypes INI-resistance associated mutations: subtypes
n V72I L74I T112I S119GPRT T125 K156 V201 T206 S230N Subtype n % n % n % n % n % n % n % n % n % 01_AE 17 4 23,5 1 5,9 1 5,9 2 11,8 17 100 17 100 1 5,9 02_AG 44 33 75,0 9 20,5 8 18,2 8 18,2 41 93,2 42 95,5 42 95,5 06_CPX 3 2 66,7 1 33,3 3 100 3 100 1 33,3 10_CD 1 1 100 1 100 11_CPX 3 2 66,7 1 33,3 3 100 1 33,3 1 33,3 12_BF 2 2 100 2 100 2 100 A1 40 9 22,5 19 47,5 2 5,0 21 52,5 36 90 1 2,5 32 80 4 10 1 2,5 A2 2 1 50 1 50 B 175 127 72,6 9 5,1 16 9,1 83 47,4 57 32,6 16 9,1 85 48,6 28 16,0 19 10,9 C 23 21 91,3 2 8,7 2 8,7 5 21,7 21 91,3 21 91,3 3 13,0 D 15 4 26,7 4 26,7 4 26,7 11 73,3 15 100 4 26,7 1 6,7 F1 3 3 100 2 66,7 1 33,3 3 100 3 100 2 66,7 F2 4 3 75,0 3 75,0 1 25,0 4 100 2 50 G 11 8 72,7 2 18,2 6 54,5 3 27,3 7 63,6 11 100 10 90,9 S 343 217 42 45 131 201 17 238 99 21
INI-resistance prediction: routine diagnostics INI-resistance prediction: routine diagnostics
geno2pheno[integrase] geno2pheno[integrase] INI-resistance prediction: routine diagnostics INI-resistance prediction: routine diagnostics
www.genafor.org
geno2pheno[integrase] geno2pheno[integrase] INI-resistance prediction: routine diagnostics INI-resistance prediction: routine diagnostics
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geno2pheno[integrase] geno2pheno[integrase] INI-resistance prediction: routine diagnostics INI-resistance prediction: routine diagnostics
www.genafor.org
geno2pheno[integrase] geno2pheno[integrase] INI-resistance prediction: routine diagnostics INI-resistance prediction: routine diagnostics
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maker
INI-resistance prediction: routine diagnostics INI-resistance prediction: routine diagnostics
INI-resistance prediction: routine diagnostics INI-resistance prediction: routine diagnostics
Saleta S
SnoB-0354
HIV grade HIV grade INI-resistance prediction: routine diagnostics INI-resistance prediction: routine diagnostics
HIV grade HIV grade
INI-resistance prediction: routine diagnostics INI-resistance prediction: routine diagnostics
INI resistance phenotypic assay INI resistance phenotypic assay
The lacking isolates did not result in sufficient activity
RAL resistance: preliminary phenotypic data RAL resistance: preliminary phenotypic data
RAL resistance: preliminary phenotypic data RAL resistance: preliminary phenotypic data
Strain (subtype) IC50 (nM) RF NL4-3 6.6 1 A 5.1 0.8 C 3.8 0.6 D3 20.8 3.2 F1 5.1 0.8 F2 3.4 0.5 G 18.2 2.8 H 4.9 0.7
Low frequence
EVG administration in all subtypes. Differences in INI-resistance mutations prevalence amon g
Phenotypic assay for INI-resistance ongoing in collaboration with Erlangen.
Conclusions Conclusions
.
All 24 centers and 427 patients MSD
Pia Schenk-Westkamp, Heidi Wiehler, Anja Bunk, Robert Jablonka, Birgit Ross, Melanie Stengl, Ulf Dittmer, Dirk Schadendorf, Stefan Esser Institute of Virology, University of Cologne Nadine Sichtig, Melanie Balduin, Eugen Schülter, Dörte Hammerschmidt, Jens Verheyen, Elena Knops, Maria Neumann-Fraune, Susanna Trapp, Eva Heger, Finja Schweizer, Claudia Müller, Angelika Hergesell, Herbert Pfister, Rolf Kaiser MPI for Informatics, Saarbrücken Andre Altmann, Alexander Thielen, Tobias Sing, Achim Buech, Oliver Sander, Alejandro Pironti, Thomas Lengauer
Acknowledgements Acknowledgements