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A Biosemiotic Analysis of Serotonin

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Title: A Biosemiotic Analysis of Serotonin


1
A Biosemiotic Analysis of Serotonins Complex
Functionality
  • Argyris Arnellos, Martien Brands, Thomas
    Spyrou, John Darzentas
  • Dept of Product Systems Design Engineering,
    University of the Aegean, Syros, Greece
  • University of Liverpool, Division of Primary
    Care

2
Framework of study
  • Serotonins functionality in the immune system is
    quite complex
  • Complexity
  • Self-organisation
  • T-cell memory formation and activation
  • Serotonin
  • Dendritic cells maturation

3
Serotonin an example of a self- organization
of a complex system
  • Key process
  • Memorization of immune system through T cell
    activation by
  • Serotonin signalling on Dendritic cells and T
    cells

4
Serotonin signalling
  • Key concepts
  • Receptor sensitivity
  • Synaptic plasticity
  • Gene manipulation

5
Reasons for biosemiotic analysis
  • Homeopathic medicines are prepared by serial
    dilution and agitation (SDA)
  • SDA effects depends on signal reception rather
    than their dose
  • Traditional pharmacology assumes a dose-effect
    relationship
  • However, many biological processes depend on
    signals rather than doses.

6
Complexity and biosemiotics
  • Adaptation to microbes trauma by
  • immune memorization
  • Multifactorial process with systemic features
    feedback, receptor sensitivity
  • Functionality by signal transduction

7
Steps to the path of T-cell memory formation
  • Inflammation
  • Platelets activation Serotonin (5 HT)
    production
  • Dendritic cells (DC) 5 HT sequestration
  • DC maturation exocytosis of 5 HT
  • T cell activation uptake of 5HT

8
Serotonin production
  • Sources
  • Antibodies and IgE --gt mastcell degranulation
    histmamin serotonin
  • Platelets platelet activating factor --gtgt
    serotonin
  • Complement activation factor
  • Sympathetic nerves (neurotransmitter)

9
Sequestration
  • ATP Ca2
  • Serotonin
  • Measurements
  • LAMP-1
  • Amperometry of transmitters
  • Mono oxidase A B

10
DC maturation
  • ATP Ca2
  • Serotonin
  • Exocytosis of 5 HT
  • by lysosomes

11
T cell activation
  • cAMP
  • Receptor
  • TPH-1
  • Indicator
  • Tryptophan -1
  • Feedback to DC
  • Ligand -gt
  • CD 40 and CD 152

12
The modeling of T-cell formation under a
biosemiotic framework
  • Dynamic Object (DO) an activated and
    fully-functional T cell.
  • Immediate Object (IO)
  • The DO in its semiotically available form.
  • Indicates a range of possible DOs.
  • Establishes conditions of possibility to the DO.
    It is not the IO. It is an IO.
  • Immediate Interpretant (II)
  • The range of interpretability.
  • It is the possible IOs.
  • Dynamic Interpretant (DI)
  • The actual effect of the sign.
  • The realization of one of all the possibilities
    that are denoted by the range of
    interpretability.
  • The effective reconstruction of an IO.

13
The modeling of T-cell formation under the
biosemiotic framework
  • Interpretant the reconstruction of a form
    (habit) which was embodied in an Object.
  • Reconstruction Communication of the form of an
    activated and fully-functional T cell through
    Signs in CD by ligands in potency to the next
    generation of the immune system.
  • The activated T-cell constrains the behavior of
    the immune system as an interpreter.

14
Defining the relevant semiotic levels
Macro Antigen-antibody formation and memorization of immune system
Focal Dendritic Cell maturation through 5HT uptake and release and T cell activation
Micro CD 40 and CD 152 production by ligands as negative and positive feedback triggers for DC maturation
15
The modeling of T-cell formation under the
biosemiotic framework
  • Sign activated platelets (platelets that
    sequester 5-HT)
  • IO The CD ligands.
  • The CD ligands is the object expressed
    (represented) in the specific Sign.
  • The ligands is the DO (the activated and
    fully-functional T-cell) in its semiotically
    available form.
  • A CD ligand can indicate a range of possible
    functional DOs, as a CD ligand will be
    interpreted in different ways in different
    contexts.
  • II The range of interpretability (the set of
    different instances) of DC maturation.
  • The set of possible mature DCs that can be
    mediated by the specific activated platelets
    (platelets 5-HT).

16
The modeling of T-cell formation under the
biosemiotic framework
  • Sign The ligands as feedback on sequestration.
  • IO DC maturation as an IO of the activated and
    fully-functional T cell.
  • DC can modulate T cell proliferation and/or
    differentiation, then, this IO can indicate a
    range of possible functional DOs.
  • II The range of SERT expression in the DC.
  • Interpretant constraints the interpreter in
    further interactions.
  • DI The realisation of one of the possible IOs, a
    DC with a certain degree of maturation.
  • DI will play the role of the Sign in the next
    semiosis.

17
The modeling of T-cell formation under the
biosemiotic framework
  • Sign The DC mature_SERT_expression via 5-HT
    release. It is the DI of the previous semiosis.
  • IO An activated and ready for interaction T
    cell.
  • II The range of possibilities of IOs, that is, a
    set of T-cells with a certain level of cAMP.
  • DI It will be a T cell from the set denoted by
    the II. This T-cell will be the Sign of the next
    semiosis.

18
The modeling of T-cell formation under the
biosemiotic framework
  • Sign A T-cell with a specific level of cAMP.
  • IO A T-cell with a level of TPH-1.
  • II The range of possibilities of the IO.
  • DI A T-cell with a specific range of TPH-1.

19
The modeling T-cell formation under the
biosemiotic framework
  • Sign A T-cell with a specific range of TPH-1
  • IO Antigen Antibody formation
  • II T-cell derived signals CD ligands
  • DI A specific CD ligand.

20
T cell memorization
21
Results and Comments
  • An explanatory tool which models the complex
    phenomenon at the level of emergence.
  • It seems that serotonin is just a sign
    (not-dependent on dose).
  • It is a signal that triggers the
    self-organisation of a very complex system that
    is being respectively informed under the proper
    context.
  • It engages in information processes based on the
    presented analysis.
  • Modeling of the phenomenon under semiotic terms
    abstracted from the level of biochemistry could
    help us ask different questions to complex
    problems.
  • Other tools are missing that should be integrated
    to the biosemiotic framework.

22
Further work
  • Integrate with theories and frameworks of
    self-organisation and general systemic and
    evolutionary thinking.
  • A detailed biosemiotic analysis of T cell memory
    formation.
  • Integration with other works of biosemiotics in
    intra- and extra-cellular signaling.
  • Experimental designs in SDA research, which will
    provide a way to test and refine certain aspects
    of the theory.
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