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David van de Vijver PharmD PhD Eijkman-Winkler Institute

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Presentation on theme: "David van de Vijver PharmD PhD Eijkman-Winkler Institute"— Presentation transcript:

1 Drug resistant HIV, an introduction and overview of epidemiological studies
David van de Vijver PharmD PhD Eijkman-Winkler Institute Dept. of virology University Medical Centre Utrecht

2 Introduction In 1996, several novel anti-HIV drugs became available
Dramatic reduction mortality among HIV-infected patients Resistance to anti-HIV drugs develops rapidly Objective Principles of HIV drug resistance Epidemiological studies

3 Contents General introduction to HIV Drug resistance
Natural course, epidemiology, and treatment Drug resistance Principles, genotyping, fitness, drug resistance interpretation systems Epidemiological research Transmisison of resistance across Europe

4 Introduction to HIV

5 HIV Human immunodeficiency virus (HIV)
Primarily infects vital components of the human immune system CD4-cells which is vital for proper functioning of immune system Immune system is slowly being demolished Patients will eventually develop AIDS without treatment

6 Clinical course of HIV – no drugs

7

8 Treatment of HIV Currently four classes of antiretrovirals available
NRTI NNRTI Protease inhibitors Fusion-inhibitor Future CCR5-inhibitors Treatment with antiretroviral drugs is expensive

9 NRTI (nucleoside reverse transcriptase inhibitors)
Lamivudine, zidovudine (AZT) and others A, C, T and G are building blocks of DNA NRTI’s nucleoside analogues of A,C,T or G Chain prolongation of DNA inhibited

10 NNRTI (non-nucleoside reverse transcriptase inhibitors)
Efavirenz, Nevirapine Binds to RT

11 Protease inhibitors Lopinavir, amprenavir and others Inhibits the enzyme protease which results in immature non-infectious viruses Boosted protease inhibitors

12 Boosted protease inhibitors
Liver and kidney are main organs responsible for metabolism of drugs Protease inhibitors are metabolized by group of enzymes named CYP450 in liver Ritonavir inhibits CYP450 already at small dosage Boosting is combination of protease inhibitor with ritonavir Metabolism inhibited –> drugs levels and half-life increase

13 Fusion-inhibitor Enfuvirtide or T-20 Peptide, only by injection Binds to the envelope, prevents HIV from entering cell € 6000 per month Only for treatment of drug-resistant HIV

14 Side effects Antiretroviral drugs have many serious side effects
Some side effects: Nausea, diarrhea Diabetes, increase in cholesterol > increased risk for heart disease Central nervous system: vivid dreams

15 Lipodystrophia Associated with usage of protease inhibitors

16 Treatment of HIV Long-term data show that a single inhibitor is not successful (Lopinavir/r ?) Combination of at least two different classes of antiretrovirals HAART (Highly Active AntiRetroviral Treatment) Treatment should be started as late as possible Always: opportunistic infection or CD4<200 CD4 between 200 and 350 Measure of success of treatment is viral load <50 copies/ml

17 Introduction to resistance

18 Mechanism of resistance
Large daily production of HIV (~109/day) HIV reverse transcriptase makes a lot of errors Large genetic variation in HIV Cloud of genetically different viruses Quasi-species

19 Mechanism HAART Wild-type Not complete inhibition of HIV Resistant
Fastest replicating virsuses Wild-type Not complete inhibition of HIV Resistant Replication in absence of drugs

20 Proportion with virologic failure (%)
Adherence 100 80 60 40 20 Proportion with virologic failure (%) >95 90–95 80–90 70–80 <70 Medication taken (%) p= , r=–0.554 Paterson DL et al. Ann Intern Med 2000

21 Adherence Patients have to comply strictly to dosing regimen
>95% of prescribed dosages (side effects!) Heart disease Statines after heart attack >80% to prevent new heart attack (Heart 2002; 88: )

22 Mutations Drug resistance is caused by the emergence of mutations in HIV-genome Genetic barrier Number of mutations required to overcome drug selective pressure Differs per drug High for boosted protease inhibitors Low for the NNRTI´s and the NRTI lamivudine

23 Lamivudine mutation aminoacid 184 M > V
R. Shafer, Clin Microbiol Rev 2002; 15:

24 Fitness Resistance associated mutations do not replicate as fast as wild-type virus Resistant virus less fit What are the consequences of decreased fitness?

25 Fitness Lamivudine Viral load Time M184V
Schuurman R, et al. J Infect Dis 1995; 171:

26 Lab measurement of resistance
Genotyping Assess nucleotide sequence of reverse transcriptase and protease region Find presence of drug resistance associated mutations

27 Sequencing +ddATP +ddCTP +ddGTP+ddTTP

28 Sequence

29 Mutations

30 Amino-acids Computer-software to detect mutations

31 VIRADAPT: HIV RNA <200/mL
Randomized study Open study 32.3 31.3 40 30.4 29.2 30 30.5 Patients (%) 20 10 Control Genotypic 14.0 14.0 12.5 3 6 9 12 Time (mo) Durant J, et al. Lancet 1999;353:2195-9

32 Genotyping © 2004. The International AIDS Society–USA
Zidovudine M L 41 D R N K 67 70 W 210 YF QE T 215 219 E 44 I V 118 Stavudine M L 41 D R N K 67 70 W 210 YF QE T 215 219 E 44 I V 118 65 Didanosine K R 65 L V 74 Zalcitabine K R 65 D T 69 L V 74 M 184 Abacavir K R 65 L V 74 Y F 115 M 184 Lamivudine E D 44 I V 118 M VI 184 K R 65 Emtricitabine K R 65 M VI 184 Tenofovir K R 65 © The International AIDS Society–USA Johnson VA, et al. Topics HIV Med Updated on 1. D’Aquila RT, Schapiro JM, Brun-Vezinet F, et al. Drug resistance mutations in HIV-1. Top HIV Med. 2002;10:11-15.

33 Genotyping Interpretation is difficult
Cross-resistance Fitness Interaction between mutations Re-sensitization due to particular mutations E.g. M184V leads to hyper-susceptibility to zidovudine Several drug resistance interpretation systems have been developed Retrogram

34 Retrogram M184V

35 Several systems exist…
De Luca et al. Journal of infectious diseases 2003; 187:

36 ViroLab Funded by EU (6th framework) Coordinated by Peter Sloot
Build a virtual laboratory Drug resistance interpretation system at its core

37 Epidemiological research

38 Transmission of resistance
Drug resistant HIV can be transmitted to others USA: San Diego/ San Francisco 25% Little et al. NEJM 2002; 347: Grant et al. JAMA 2002; 288: 181-8 Europe: until recently studies limited to single countries, different methodologies

39 What is SPREAD? Prevalence transmission of drug resistant HIV in newly diagnosed patients across Europe Representative sampling of 4000 patients in two rounds Quality control of participating labs Same methods in all 31 participating countries Coordination: dept. of virology, UMC Utrecht, the Netherlands Funding by European Union

40 32 Participating countries
SPREAD 32 Participating countries SPREAD is sponsored by the European Union (contract number QLK2-CT ) Extended as EuropeHIVResistance WHO HIVResNet

41 CATCH study CATCH Aim SPREAD
First large scale study on transmission of resistance in Europe On behalf of SPREAD – program Aim To determine the prevalence of drug resistance in antiretroviral naïve patients in Europe from 1996 to 2002 Wensing, Van de Vijver et al. Journal of infectious diseases 2005; 192:

42 CATCH-study

43 Population n=2208, 19 countries
Age (mean) 36  10 years Male 73% Subtype B 70% HIV-RNA (mean) 4.82  0.86 log cp/ml CD4 (median) 408 (1-1764) cells/mm3

44 Results 1996-2002 N=2208 Prevalence Resistance 10.4% 230/2208 NRTI
SPREAD Results N=2208 Prevalence Resistance 10.4% 230/2208 NRTI 7.6% 165/2177 NNRTI 2.9% 64/2190 Protease 1.7% 36/2178 ≥2 classes 2.0% 45/2207 Wensing, van de Vijver Journal of infectious diseases 2005; 192:

45 Phylogenetic trees HIV is genetically very diverse
Identification of different groups 99% of HIV Branch length is genetic distance ≈ number of different nucleotides

46 Group M - viruses

47 Subtype B vs. non-B OR = 3.0 (95% CI ; P<0.001)

48 Implications As soon as patient is diagnosed, and patient is likely to be infected with a subtype B virus genotyping

49 Additional research Automatic subtyping tool
De Oliveira, Deforche et al. Bioinformatics Oct 1;21(19): Subtype diversity and genetic barrier Van de Vijver, Wensing et al. J Acquir Immune Defic Syndr Mar;41(3): Resistance in antiretroviral experienced patients CAPTURE

50 Conclusions Antiretroviral drugs available for treatment of HIV
Serious side effects Drug resistance occurs frequently Good adherence is key Drug resistance interpretation tools have variable prediction Drug resistance frequently limits efficacy 10% transmission of resistance


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