modeling inflammation

Modeling Inflammation

Diana StefanAwanti Sambarey

August 12, 2012CSHL CCB Final Project Presentation

A healthy inflammatory response

Reduced model of inflammation• Kumar, R., Clermont, G., Vodovotz, Y., Chow, C.C., 2004. The dynamics of acute inflammation.

J. Theor. Biol. 230, 145–155.

•

m

l

pp = pathogenm = early pro-inflammatory mediatorl = late pro-inflammatory mediator

time

Reduced model of inflammation• Kumar, R., Clermont, G., Vodovotz, Y., Chow, C.C., 2004. The dynamics of acute inflammation.

J. Theor. Biol. 230, 145–155.

•

m

l

pp = pathogenm = early pro-inflammatory mediatorl = late pro-inflammatory mediator

time

Time course of p, m and l for the healthy response

Late

infla

mm

ator

y m

edia

tors

Persistent non-infectious inflammation

Exploring dynamics of the reduced model of inflammation

4

2

0

Persistent infectious inflammation

Severe immune deficiency

Recurrent infection

FP2

FP4

FP3

FP1

FP5

Kpm decreased

FP 5

FP 3

FP 4Healthy Oscillations Recurrent Infection

Kmp decreased

FP 2FP 3

Recurrent Infection Healthy Oscillations

Klm de

creas

edFP 5 Persistent NI Inflammation

Recurrent InfectionFP 3

FP 1

Healthy Oscillations

FP 4

Bifurcations

Pathogen Early Mediators Late Mediators

Anti-inflammatory Mediators

Extension of the model to account for anti-inflammatory mediators.

Kpm

M

M

Kmp

Healthy Oscillations

Recurrent Infection

Recurrent Infection

Healthy Oscillations

Concluding Remarks• The model examines the effect of the strength of early and

late-inflammatory responses, and describes the parameters that govern the clinical outcome.

• The addition of anti-inflammatory mediators prevents persistent non-infectious inflammation by regulating late mediators.

• The reduced model allows us to understand the general behavior of the system, however the model needs to be expanded to mimic the phenomenon of inflammation more closely.

Thank you!!