Abstract:
In this thesis, the medical condition of sepsis is considered at molecular level
(signalling pathways) using computational systems-level approaches in order to get insights
into the mechanism of disease progression. Sepsis is the pathological condition
provoked due to the presence of bacterial endotoxin in the bloodstream. Subsequently
Toll like receptors (TLR)4 and JAK/STAT signalling pathways attempt to reduce the
pathogen burden by inducing pro- and anti-inflammatory innate immune responses.
However, in some instances, an overwhelmed immune system could not properly
regulate the balance between infection and inflammation that may ultimately lead to
organ damage and consequently to death. In recent years, there has been an increasing
amount of literature on the pattern of pro- and anti-inflammatory response elicited
during sepsis, though; there has been a little agreement on the roles of pro- and antiinflammatory
cytokines (AiCyts) in sepsis. This study mainly aims to address the
controversy behind roles of pro- and anti-inflammatory cytokines in sepsis by modelling
the signalling pathway of TLR4 and one of the connected signalling cascades of
JAK/STAT using qualitative modelling approach introduced by René Thomas’. The
possible system dynamics of TLR4-JAK/STAT signalling pathways are produced for
two medical conditions i.e. non-sepsis (type of infections that generally do not cause
sepsis) and sepsis along with perturbations in these two cases. As a result, recurrent
induction and inactivation of pro-inflammatory cytokines is found as the basic feature
associated with sepsis. Besides AiCyts, IFN-β and SOCS-1 are found to mediate
down-regulation of pro-inflammatory cytokines at different stages of signalling which
cause variation of pro-inflammatory cytokines levels. It is observed that intervention
in IFN-β mediated down-regulation of pro-inflammatory cytokines at earlier stages
of system dynamics, while intervening the SOCS-1 mediated down-regulation of proinflammatory
cytokines at later stages ensures hyper-inflammatory condition. On the
other hand, interventions in TLR4, NFκB (transcription factor involved in the TLR4
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Abstract
signalling pathway) and JAK/STAT signalling are good choices for supporting the
anti-inflammatory immune responses. Thus only possible protein-protein interactions
involved in the initial downstream interactions of TLR4 signalling are studied in order
to predict a more appropriate target in these interactions. Previous studies indicated
that MyD88 adaptor-like protein (MAL) is an endogenous adaptor protein recognized
as an important protein involved in the induction of TLR4 mediated downstream
signalling pathway. Moreover, it has also been demonstrated that BTK and PKCδ
phosphorylate MAL (positions Tyr86 and Tyr106) which ultimately activates MAL.
Thus the modelling of PKCδ and protein-protein interactions of both BTK and PKCδ
with MAL is performed in order to explore their competitive interaction. Molecular
docking and physicochemical analysis reveals that PKCδ may phosphorylate only
Tyr106 of MAL, while BTK may phosphorylate MAL at both positions. Interestingly,
the charge and hydrophobicity at interfaces of PKCδ and BTK are found different
in nature yet well-compatible with the individual positions of Tyr86 and Tyr106 of
MAL. The most prominent findings emerged from this analysis is that position Tyr86
of MAL may explicitly be phosphorylated by BTK, while position Tyr106 of MAL
may be phosphorylated by the competing interest of both PKCδ and BTK.
In conclusion, this thesis will enhance our understanding about the signalling
and protein-protein interactions involved in sepsis which will contribute to the development
of drugs and vaccines against the medical condition of sepsis.
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