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Models of Host Immune Response, and the(co)Evolution of Virulence: - PowerPoint PPT Presentation

Models of Host Immune Response, and the(co)Evolution of Virulence: limited and preliminary extensions on Gilchrist-Sasaki Andrea Pugliese Dept. of Mathematics, Univ. of Trento DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006


  1. Models of Host Immune Response, and the(co)Evolution of Virulence: limited and preliminary extensions on Gilchrist-Sasaki Andrea Pugliese Dept. of Mathematics, Univ. of Trento DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.1/26

  2. Introduction Gilchrist and Sasaki (2002) introduced a very nice framework to discuss co-evolution of virulence and resistance without invoking hypothetical trade-offs. Aspects I aimed at addressing: DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.2/26

  3. Introduction Gilchrist and Sasaki (2002) introduced a very nice framework to discuss co-evolution of virulence and resistance without invoking hypothetical trade-offs. Aspects I aimed at addressing: (Slightly) more complex models of virus–immune system interactions not limited to short-term after infection. DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.2/26

  4. Introduction Gilchrist and Sasaki (2002) introduced a very nice framework to discuss co-evolution of virulence and resistance without invoking hypothetical trade-offs. Aspects I aimed at addressing: (Slightly) more complex models of virus–immune system interactions not limited to short-term after infection. Reinfection of already infected hosts (to deal with issues like super-infection. DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.2/26

  5. Introduction Gilchrist and Sasaki (2002) introduced a very nice framework to discuss co-evolution of virulence and resistance without invoking hypothetical trade-offs. Aspects I aimed at addressing: (Slightly) more complex models of virus–immune system interactions not limited to short-term after infection. Reinfection of already infected hosts (to deal with issues like super-infection. Variability of hosts (not genetically determined) . DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.2/26

  6. Models for virus-immune system, 1 P pathogen load I specific immunity level � P ′ = rP − cIP (Gilchrist-Sasaki, 2002) I ′ = aIP with I (0) = I 0 > 0 , P (0) = P 0 > 0 . DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.3/26

  7. Models for virus-immune system, 1 P pathogen load I specific immunity level � P ′ = rP − cIP (Gilchrist-Sasaki, 2002) I ′ = aIP with I (0) = I 0 > 0 , P (0) = P 0 > 0 . Infection grows (if r > cI 0 ) and then is cleared by immune system. Some computations are easier since it is Kermack-McKendrick model disguised. Hence one obtains P = Φ( I ) := r a log( I ) − I + I 0 + P 0 . DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.3/26

  8. Models for virus-immune system, 2 � P ′ = rP − cIP (Gilchrist-Sasaki, 2002) I ′ = aIP DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.4/26

  9. Models for virus-immune system, 2 � P ′ = rP − cIP (Gilchrist-Sasaki, 2002) I ′ = aIP � P ′ = rP − cIP (André-Gandon, 2006) I ′ = βI DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.4/26

  10. Models for virus-immune system, 2 � P ′ = rP − cIP (Gilchrist-Sasaki, 2002) I ′ = aIP � P ′ = rP − cIP (André-Gandon, 2006) I ′ = βI Equations can be solved to have � rt + cI 0 � β (1 − e βt ) P ( t ) = P 0 exp . DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.4/26

  11. Models for virus-immune system, 3 � P ′ = rP − cIP (Gilchrist-Sasaki, 2002) I ′ = aIP DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.5/26

  12. Models for virus-immune system, 3 � P ′ = rP − cIP (Gilchrist-Sasaki, 2002) I ′ = aIP � P ′ = rP − cIP (André-Gandon, 2006) I ′ = βI All infections are eventually cleared. DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.5/26

  13. Models for virus-immune system, 3 � P ′ = rP − cIP (Gilchrist-Sasaki, 2002) I ′ = aIP � P ′ = rP − cIP (André-Gandon, 2006) I ′ = βI All infections are eventually cleared. � P ′ = rP − cIP (Mohtashemi-Levins, 2002) I ′ = kP − δI + h DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.5/26

  14. Models for virus-immune system, 3 � P ′ = rP − cIP (Gilchrist-Sasaki, 2002) I ′ = aIP � P ′ = rP − cIP (André-Gandon, 2006) I ′ = βI All infections are eventually cleared. � P ′ = rP − cIP (Mohtashemi-Levins, 2002) I ′ = kP − δI + h If an infection can occur ( r > c h δ ), then system always goes to an equilibrium, generally after several infection cycles. DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.5/26

  15. Proposed model for within-host dynamics Several other models in Nowak-May (2002) share this feature: If an infection is possible, it is never cleared completely (at least, in the deterministic model) . DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.6/26

  16. Proposed model for within-host dynamics Several other models in Nowak-May (2002) share this feature: If an infection is possible, it is never cleared completely (at least, in the deterministic model) . An extension with functional response in immune cells-virus interaction: � cI m P ′ = rP − 1+ k c P P − 1+ k m P P aP I ′ = 1+ k a P I − δI + h m level (activity) of aspecific immunity. k c and k m modulate functional response. k a allows for different rules of immune response. DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.6/26

  17. Proposed model for within-host dynamics Several other models in Nowak-May (2002) share this feature: If an infection is possible, it is never cleared completely (at least, in the deterministic model) . An extension with functional response in immune cells-virus interaction: � cI m P ′ = rP − 1+ k c P P − 1+ k m P P aP I ′ = 1+ k a P I − δI + h m level (activity) of aspecific immunity. k c and k m modulate functional response. k a allows for different rules of immune response. DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.6/26

  18. Behaviour of within-host model If r small, no internal equilibria. Infection is cleared completely. DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.7/26

  19. Behaviour of within-host model If r small, no internal equilibria. Infection is cleared completely. DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.7/26

  20. Behaviour of within-host model If r small, no internal equilibria. Infection is cleared completely. DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.8/26

  21. Behaviour of within-host model If r small, no internal equilibria. Infection is cleared completely. If r intermediate, 2 internal equilibria. Infection is either cleared, or it goes to equilibrium (or limit cycle). DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.8/26

  22. Behaviour of within-host model If r small, no internal equilibria. Infection is cleared completely. If r intermediate, 2 internal equilibria. Infection is either cleared, or it goes to equilibrium (or limit cycle). DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.8/26

  23. Behaviour of within-host model If r small, no internal equilibria. Infection is cleared completely. DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.9/26

  24. Behaviour of within-host model If r small, no internal equilibria. Infection is cleared completely. If r intermediate, 2 internal equilibria. Infection is either cleared, or it goes to equilibrium (or limit cycle). DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.9/26

  25. Behaviour of within-host model If r small, no internal equilibria. Infection is cleared completely. If r intermediate, 2 internal equilibria. Infection is either cleared, or it goes to equilibrium (or limit cycle). If r large ( r > m + ch/δ ), 1 internal equilibrium. Infection always goes to equilibrium (or limit cycle). DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.9/26

  26. Behaviour of within-host model If r small, no internal equilibria. Infection is cleared completely. If r intermediate, 2 internal equilibria. Infection is either cleared, or it goes to equilibrium (or limit cycle). If r large ( r > m + ch/δ ), 1 internal equilibrium. Infection always goes to equilibrium (or limit cycle). DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.9/26

  27. Behaviour of within-host model If r small, no internal equilibria. Infection is cleared completely. DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.10/26

  28. Behaviour of within-host model If r small, no internal equilibria. Infection is cleared completely. If r intermediate, 2 internal equilibria. Infection is either cleared, or it goes to equilibrium (or limit cycle). DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.10/26

  29. Behaviour of within-host model If r small, no internal equilibria. Infection is cleared completely. If r intermediate, 2 internal equilibria. Infection is either cleared, or it goes to equilibrium (or limit cycle). If r large ( r > m + ch/δ ), 1 internal equilibrium. Infection always goes to equilibrium (or limit cycle). DIMACS workshop on Host-Parasite Coevolution, October 9-11 2006 – p.10/26

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