Gaborone, Botswana. 1. HAART has transformed HIV infection - PowerPoint PPT Presentation

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Gaborone, Botswana. 1. HAART has transformed HIV infection

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Gaborone, Botswana. 1. HAART has transformed HIV infection into a chronic manageable disease. ... study of 23 patients in Botswana on. Either (a) DDI 3TC ... – PowerPoint PPT presentation

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Title: Gaborone, Botswana. 1. HAART has transformed HIV infection


1
  • HIV AND HIV MUTANTS
  • E. Chigidi and E. Lungu
  • University of Botswana
  • Private Bag 0022
  • Gaborone, Botswana

2
  • 1. HAART has transformed HIV infection into a
    chronic manageable disease.
  • 2. However, Although many regimens lower plasma
    viral load to below the limit of detection in
    most patients, maintaining a durable response
    remains challenging because of
  • (I) Adverse effects
  • (II) Long term toxicity
  • (III) Drug resistance

3
  • 4. Adverse effects Metabolic toxicity
    associated with Protease Inhibitor use have
    resulted in increasing use of regimens containing
    NNRTIs
  • 5. Even NRTIs have also been associated with
    long term toxicity
  • 6. Mutations of virus can occur before anti- HIV
    therapy is started

4
  • 7. Mutations can occur in two ways
  • (a) Natural selection
  • (b) Transmission of drug-resistant
    virus
  • Natural selection
  • (a) HIV makes mistakes during copying and
    produces variants
  • (b) Some variants have mutations that allow
    the virus to partly or even full resist an
  • anti-HIV drug

5
  • 9. Many HIV-positive people now take anti-HIV
    drugs.
  • 10. Some have already developed resistance to one
    or more of these drugs
  • 11. If they have unprotected sex with another
    individual they can pass on this strain.
  • 12. The individual infected with this strain
    might have a problem controlling their viral
    load.

6
  • Is there evidence of HIV mutations
  • 13. A study of 23 patients in Botswana on
  • Either (a) DDI 3TC Nevirapine
  • NRTI NRTI Nevirapine
  • Or D4T 3TC Nevirapine
  • NRTI NRTI Nevirapine
  • 14. Of 15 patients who discontinued treatment
  • Seven patients were found to possess the
    mutant virus K65R

7
  • Study by Gallant et el (2006) comparing two
    regimens involving 35 patients
  • Regimen 1. TDF emtricitabine efavirenz
  • NRTI NRTI NNRTI
  • (12 Patients)
  • Regimen 2. AZT 3TC efavirenz
  • NRTI NRTI NNRTI
  • (23 Patients)
  • On Regimen 1 2 developed M184V/I mutations
  • On Regimen 2. 7 developed M184V/I mutations

8
  • The mutant virus K65R was not detected in both
    groups
  • However, exposure to NNRTI efavirenz resulted in
    the development of mutation K103N in 21 out of 35
    patients
  • Other mutations were detected such as K101E,
    K103E, V108I/M V179D, Y188H, G190A/S/E, P225H,
    M230L

9
  • In western countries where choice for anti-HIV
    drugs is greater and financial constraints are
    not so acute, the rate of evolution of drug
    resistant strains has, to a large extent, been
    matched by the rate of development of new drugs.
  • Sub-Sahara Africa is affected by several barriers
    namely, financial, organizational, physical and
    social.
  • Drug resistant strains will cause high levels of
    transmitted HIV resistance and possibly lead to a
    reduction in the effectiveness of control efforts.

10
  • We investigate the following scenario
    Drug-resistant strains are less well transmitted
    than the wild-type strain. However, the drug
    resistant strain will evolve and its transmission
    characteristics will improve. Can this compound
    the current epidemic? How soon?
  • We formulate a mathematical model in which we
    vary the probability of transmission and the
    proportions and the rate at which individuals
    start treatment in order to predict the spread
    of the disease.

11
  • Model diagram Model without treatment

12
Model equations
13
Model diagram Model with treatment
14
Model equations incorporating treatment
15
Endemic equilibrium point
16
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20
Model without treatment (left) and with treatment
(right)
for a constant population model
21
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22
Model without treatment (left) and with treatment
(right)
for a varying population model
23
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24
Model without treatment (left) and with treatment
(right)
for a constant population model
25
Model without treatment (left) and with treatment
(right)
for a varying population model
26
(No Transcript)
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