HIV-GRADE HBV-Tool M. Obermeier 04/ 2009 Medizinisches Labor Berg - - PowerPoint PPT Presentation

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HIV-GRADE HBV-Tool M. Obermeier 04/ 2009 Medizinisches Labor Berg - - PowerPoint PPT Presentation

HIV-GRADE HBV-Tool M. Obermeier 04/ 2009 Medizinisches Labor Berg Why HBV? No anti-HIV activity Anti-HIV activity TDF ETV LdT Potency FTC LAM ADF ETV in LAM IFN exp Cumulative toxicity toxicity with with ART (AZT, ART (AZT, ddI


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SLIDE 1

04/ 2009

  • M. Obermeier

Medizinisches Labor Berg

HIV-GRADE HBV-Tool

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4/ 2009

Why HBV?

LdT FTC ADF ETV

ETV in LAM exp

LAM Genetic Barrier Potency

No anti-HIV activity Anti-HIV activity

IFN

Cumulative Cumulative toxicity toxicity with with ART (AZT, ART (AZT, ddI ddI) ) ↓ ↓ 1 Log HIVRNA 1 Log HIVRNA ↓ ↓ CD4 CD4 counts counts = % = %

TDF

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SLIDE 3

4/ 2009

Patient 18393

1 10 100 1000 10000 100000 1000000 10000000 100000000 2 . 7 . 2 6 1 . 1 . 2 6 1 8 . 1 . 2 7 2 8 . 4 . 2 7 6 . 8 . 2 7 1 4 . 1 1 . 2 7 2 2 . 2 . 2 8 1 . 6 . 2 8 9 . 9 . 2 8 1 8 . 1 2 . 2 8

HIV-VL HBV-VL

Start Entecavir

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4/ 2009

HIVdb Core Module

HIV-ALG HIV-SEQ HIVdb Daten- bank

Basis: Stanford HIVdb

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4/ 2009

Analysis flowchart

Sequence data Mutation list

Identification of available genes Alignment on Pan- Genotype Consensus Identification of mutations

Analysis of mutations based on the algorithm Detailled output Tabular output

Identification of genotype and re-alignment on genotype specific consensus-sequence

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SLIDE 6

4/ 2009

Genotyping basis

consA AB126580.1 A Y 2 3 3 2 9 . 1 AB056516.1 c

  • n

s G AB064313.1 AB219429.1 consB AY206373.1 c

  • n

s C AY206381.1 X75665.1 consD A J 6 2 7 2 2 3 . 1 D Q 3 1 5 7 7 9 . 1 X 7 5 6 5 7 . 1 consE A Y 7 3 8 1 4 4 . 1 c

  • n

s F A B 3 6 9 7 . 1 AY179735.1 AP007261.1 c

  • n

s H AY090454.1

0.01

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4/ 2009

Algorithm Specification Interface (ASI)

Rules based algorithms can be

described in xml-format HBV-ruleset can be described in a format that is compatible to other algorithms

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4/ 2009

HBV drug resistance mutations

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4/ 2009

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4/ 2009

Algorithm

RT-Inhibitors: Lamivudine Resistance Possible Resistance 204ISV 180M 173L 80VI Adefovir Resistance Possible Resistance 236T 233V A181STV

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4/ 2009

Algorithmus

Entecavir Resistance Possible Resistance 204IV and 1 of (169T, 184AGILS, 202CGI, 250IV) 1 of (169T, 184AGILS, 202CGI, 250IV) 204IV and 1 of (173L, 180M)

Comment: 204VI => A mutation M204VI alone only slightly impairs the susceptibility to entecavir, however the dose of entecavir should be increased according to the manufacturers instructions

Tenofovir Resistance Possible Resistance 194T

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4/ 2009

Algorithm

Telbivudine Resistance Possible Resistance 204ISV 180M

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4/ 2009

Algorithm

HBs-antigen-escape

HBs-escape 1 of (100C, 101H/Y, 105L, 109R/V/H/I, 110M/R/H/I/V, 114R, 117T, 118K/R/S/P, 119R, 120A/E/LP/Q/S/T/R, 121S/Y, 123A/N, 124R/Y, 126N/S/V/I/T, 127R/S/T/L, 128V, 129H/K/P/R, 130D/R/N, 131D/I/S/K, 132A/P/F, 133I/L/T/V, 134H/N/R/S/V/T, 137R/S/W/Y, 139S, 140S, 141E/I/R/W, 142L/R/S, 143L/P/A, 144A/E/G/H, 145A/K/L/R, 146D/S, 147S/T)

  • J. Verheyen, University of Cologne
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4/ 2009

Sequence input

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4/ 2009

Output of sequence length and genotype

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4/ 2009

Output of RT-Alignment

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4/ 2009

Output of HBsAg alignment

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4/ 2009

Analysis

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4/ 2009

Analysis

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4/ 2009

Analysis

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HIV-GRADE e.V.

  • Thomas Berg, Medizinisches Labor Dr. Berg, Berlin
  • Patrick Braun, PZB Aachen
  • Martin Däumer, Institut für Immunologie und Genetik,

Kaiserslautern

  • Josef Eberle, Pettenkofer-Institut, München
  • Robert Ehret, PZB Aachen
  • Rolf Kaiser, Institut für Virologie, Köln
  • Klaus Korn, NRZ für Retroviren, Erlangen
  • Claudia Kücherer, RKI, Berlin
  • Harm Müller, Labor Fenner, Hamburg
  • Martin Stürmer, Institut für Medizinische Virologie, Frankfurt
  • Hauke Walter, NRZ für Retroviren, Erlangen
  • Eva Wolf, MUC Research München