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Title: Immunocomputing


1
Immunocomputing
  • The natural immune system and its computational
    metaphors
  • by
  • Ian Nunn, inunn_at_digitaldoor.net, 2002

2
Organization of This Lecture
  • Overview of the Immune System (IS)
  • The innate IS
  • The adaptive IS
  • The immune response
  • Antibodies and the Clonal Selection principle
  • Immune network theory
  • The key computational aspects
  • The symbol ? means significant explanatory text
    or diagram follows later

3
Views of the Immune System
  • A collection of lymphoid organs, cells
    principally leukocytes ( lymphocytes ? and
    phagocytes ?), and molecules that are
    interrelated in function
  • A related collection of bodily defenses
  • Physical barriers (skin, mucous membranes)
  • Physiology (temperature, ph, enzymes in
    secretions)
  • Innate IS ?(phagocytes) cellular level
  • Adaptive IS ?(lymphocytes) molecular level
  • The innate IS and the adaptive IS are interactive
  • Its all molecular chemistry proteins and
    peptides

4
Anatomy of the Immune System1
  • Primary lymphoid organs (black/red)
  • Secondary lymphoid organs (blue/yellow)

5
The Antagonists
  • Infectious foreign agents called pathogens
  • Viruses (cold, influenza, smallpox)
  • Bacteria (anthrax, E. coli)
  • Multi-cellular parasites (malaria)
  • Fungi
  • Foreign proteins and toxins
  • Pathogens express cell surface and soluble
    proteins called antigens (Ag)
  • Agent identification problem how to detect and
    remove pathogens or harmful non-self elements
    without attacking beneficial self elements
    (autoimmune reaction)

6
Immune Defense1
  • Response of various subsystems to pathogens

7
The Innate Immune System
  • System available at birth, non-adaptive in
    makeup, providing an immediate response to
    invasion
  • Principal components are
  • Complement ? system, a class of 25 blood
    proteins
  • Phagocytes that are scavenger cells including
    macrophages ? ingest foreign material and assist
    the adaptive immune response
  • Natural Killer (NK) ? Cells, a type of lymphocyte

8
The Complement System
  • Proteins that bind to the surface of certain
    types of bacteria
  • Promotes two mechanisms ? of elimination after
    binding
  • lysis the complement ruptures the cell membrane
  • opsonization the bound complement marks the
    pathogen for destruction by macrophages
  • Self cells have surface regulatory proteins that
    prevents complement binding

9
Macrophages
  • Scavenger role
  • Have receptors for
  • Certain types of bacteria directly
  • Complement on opsonized bacteria
  • Activated partly by Th1 cell ? lymphokine ?IL-2
  • Known as antigen presenting cells ?(APC)
  • ingest and then digest pathogens and antigens
  • present the Ag peptides at their surface to T
    cells ? via class II major histocompatibility
    complex (MHC) molecules that are contained only
    in IS cells

10
Macrophage Bacterial Ingestion1
Step 1 an opsonized antigen is ingested
Step 3 MHC/peptide complex presented on surface
Step 2 antigen peptides are bound by class II
MHC molecules
11
Macrophages (cont.)
  • Secrete cytokines (IL-1) ? after activation
  • Cytokines are a class of signalling molecules
    that
  • Induce inflammatory response, physiological
    changes that facilitate the activity of IS cells
  • Elevated temperature
  • Increased blood flow and blood vessel
    permeability
  • Trigger liver to produce acute phase protein
    (ATP) a complement molecule which binds to
    bacteria activating a macrophage response

12
Natural Killer Cells
  • Bind to carbohydrates on surface of self cells
  • Cant recognize specific antigens unlike Tk cells
    ? or killer cells of the adaptive immune system
  • Healthy self cells express an inhibitory signal
  • Virus-infected cells may lose inhibitory ability
    thus activating NK cells
  • Activated NK cell injects chemicals that trigger
    apoptosis ( programmed cell death) or lysis

13
The Adaptive Immune System
  • Characterized by a two-phase, primary and
    secondary response to pathogens ?
  • Principal components are 1012 short-lived (4
    7 days) lymphocytes created in bone marrow at the
    rate of 107 per day
  • T-cells ? which mature in the thymus gland
  • B-cells ?(majority) which mature in bone marrow

14
Lymphocyte Growth
  • Pleuripotent or common haemopoietic stem cells in
    bone marrow at birth
  • Differentiate into progenitor cells including
  • Myeloid type ? phagocytes
  • Lymphoid type ? B and T lymphocytes
  • These grow into immature precursor cells in bone
    marrow
  • Precursor cells mature in primary lymphoid organs
  • Mature cells
  • Activate and differentiate in bodily tissue
  • Some (B cells ?) multiply in secondary lymphoid
    organs

15
Lymphocyte Maturation
16
Cell Structure
  • Each antigen exhibits many unique structural
    regions called epitopes (1016 possible
    varieties)
  • Lymphocytes have (105) identical secretable
    surface protein receptors called antibodies (Ab)
    ?
  • At any time the immune system has a set of 108
    different Ab types called its repertoire
  • An antibody exhibits a unique structural region
    or binding site called a paratope expressing a
    range of affinities ? for binding a specific set
    of epitopes

17
Ag Epitopes and Ab Paratopes1
Antigen (Ag) showing epitopes and B cell
lymphocytes showing antibody (Ab) paratopes
(receptors)
18
Protein Structure (Folding)
  • Courtesy www.stanford.edu/group/pandegroup/Cosm/

19
Shape-Space Representation
  • Factors affecting Ab/Ag binding include
  • Molecular shape of paratopes and epitopes
  • Charge distribution
  • Relationship of corresponding chemical groups
  • Not covalent (chemical) bonding
  • A binding site parameterizes an L-dimensional
    shape-space ?
  • A paratope is at the center of a volume Ve of
    complementary epitopes with which it can bind
    called its recognition region
  • e is called the affinity threshold ?

20
Shape-Space1
  • Paratopes (), epitope complements (x) and
    affinity thresholds (e) in shape-space (V)

21
Spatial Distance
  • Measures degree of interaction (affinity)
  • For Ag(ag1, ag2 ,,agL) and Ab(ab1, ab2 ,,abL)
    expressed as vectors in shape-space

Euclidean
Manhattan
Hamming
22
Affinity Threshold (e)
  • Distance or match score is inversely proportional
    to complementarity or affinity for binding
  • A binding function measures affinity or strength
    of binding
  • Its domain is the set of possible distances
  • Its range is the set of binding values
  • The affinity threshold e is that value of
    distance above which which binding actually
    occurs

23
Affinity Binding Functions1
  1. Threshold (step) binding function
  1. Sigmoid binding function

24
Activation Threshold
  • A lymphocyte may bind multiple antigens
    (epitopes) of the same type
  • A lymphocyte may also bind multiple antigens of
    related type
  • A lymphocyte cant become activated before the
    number of receptors bound exceeds an activation
    threshold
  • Different cell types have different activation
    thresholds
  • Different cell types behave differently on
    activation

25
Lymphocyte Binding Different, Structurally
Related Antigens3
26
The Adaptive Immune Response
  • Immune response (IR) in the adaptive immune
    system has two phases ?
  • Primary response to antigen A (some Ab present)
  • Initial lag phase
  • Ab concentration then increases , levels off and
    falls
  • Secondary response to antigen A
  • Short lag phase
  • faster buildup to greater maximum level with
    slower drop off
  • Response to a new unknown but related antigen B
    after primary response to A
  • Similar to secondary response to A but less
    pronounced. Called immunological cross-reaction

27
Primary and Secondary IR1
28
The Adaptive Immune Response (cont.)
  • Demonstrates adaptation, reinforcement learning
    and associative memory needed for immunization -
    called a generalization capability
  • Characteristics of an associative memory ? are
  • Robust both to noise (binding occurs over a range
    of antigen types) and component failure
    (destruction of individual lymphocytes)
  • Stored data recovered by reading same or similar
    data (IR)
  • Restricted by Th cell dependency ?

29
The T Cell
  • A lymphocyte that along with B cells ? are the
    major elements of the adaptive immune system
  • Three major subclasses
  • Helper (CD4, T4 or Th ) T cells ? assist a range
    of leukocytes in antigen identification
  • Cytotoxic (killer or Tk) T cells ? destroy
    pathogens by lysis
  • Suppressor (CD8) T cells express a negative
    effect on immune cell generation preventing
    autoimmune reaction
  • Population diversity created in thymus by
    combinatorial rearrangement of genes but no
    somatic mutation ?

30
Th Cell Functioning
  • Binds (recognizes) only linear conformations of
    epitopes on unfolded (digested) antigen
    peptide/MHC complex on a macrophage
  • Secrete IL-2 lymphokines on activation and
    express IL-2 receptors
  • IL-2 promotes cellular growth, activation and
    regulation - particularly of self, B cells and
    macrophages
  • Th cells differentiate into
  • Th1 cells that activate Tk cells and macrophages
    inducing an inflammatory response
  • Th2 cells that activate B cells

31
Th Cells and Self-Tolerance
  • Most self epitopes occur in the thymus and bone
    marrow
  • An immature Th cell activated by binding a self
    epitope suffers apoptosis (clonal deletion or
    negative selection)
  • Process called central tolerance
  • Some may still be auto(self)reactive. A second
    mechanism, costimulation is required
  • Signal I occurs when activation threshold
    exceeded
  • Signal II IL-1cytokines provided by innate IS
  • Signal I without II triggers apoptosis, a
    negative selection or down-regulatory signal

32
T Cell Tolerization3
33
Tk Cell Activation3
34
T Cell Activation2
35
The B Cell
  • Two major subclasses
  • Plasma cells ? that produce and secrete
    antibodies (no lymphokines), a defense reaction
  • Memory cells ? that express the associative
    memory characteristic
  • Antigen processing Plasma cells digest bound
    antigens and present Ag peptides at their surface
    via class II MHC molecules

36
B Cells and Self Tolerance
  • Initial tolerization occurs in bone marrow
  • Affinity maturation ? may produce autoreactive
    clones through somatic hypermutation ?
  • Distributed tolerance (occurs in lymph nodes
    throughout body) by costimulation
  • Signal I occurs when activation threshold
    exceeded
  • Signal II provided by Th2 cell IL-2 lymphokines
    during antigen processing
  • Signal I without II triggers apoptosis

37
B Cell Antigen Processing
  • B cells digest bound antigens and present Ag
    peptides at their surface via class II MHC
    molecules
  • A Th2 cell binds to the peptide/MHC complex and
    returns a signal II IL-2 lymphokine contributing
    to the B cells activation
  • Activated B cells travel to the secondary
    lymphoid organs as part of the affinity
    maturation process

38
B Cell Affinity Maturation
  • Affinity maturation is a cyclical process
    involving plasma B cells
  • Selection activation by Th2 cell lymphokines and
    threshold regulated antigen binding
  • Proliferation clonal division in lymph nodes
    expressing somatic hypermutation ?and receptor
    editing ?
  • Differentiation after leaving lymph node, into
    plasma and memory cells

39
The Affinity Maturation Principle1
40
B Cell Adapted Population Diversity3
41
The Memory Problem
  • B cells live only a few days (10 max)
  • How is memory effected? Theories
  • A long-lived variety of B cell
  • Restimulation by long lived (years) traces of
    antigens in the body - a kind of low level
    chronic infection
  • Both

42
Intracellular Pathogenesis
  • Intracellular pathogens (viruses, some bacteria)
    are invisible to B cells
  • Viral antigen is captured by a macrophage,
    presented to a Th cell which releases IL-2
    lymphokines
  • Non-IS cells contain class I MHC molecules that
    transport internal viral peptides to the cell
    surface
  • Class I MHC/peptide complexes are bound by killer
    T cells which are activated in part by
    costimulation by IL-2
  • Tk cells kill infected cells by exercising an
    effector function (lysis, apoptosis induction,
    toxic chemical injection)

43
The Adaptive Immune Systems Response to
Infection1
  1. Macrophage ingests Ag, presents MHC/peptide at
    surface, releases IL-1
  1. T cell binds MHC/peptide and IL-1, activates
  1. Activated T cell develops, releases IL-2
  1. B cell binds antigen and IL-2, activates
  1. Activated B cell clones, differentiates into
    plasma and memory cells
  1. Plasma cell releases antibodies which bind
    antigens

44
The Antibody Molecule
  • A soluble form of leukocyte receptor also called
    an immunoglobulin (Ig)
  • Two identical light (L) and heavy (H) chains ?
  • A constant region ? responsible for IS cell
    binding and available in a few varieties called
    isotypes that determine effector selection
    there are 5 Ig classes
  • A variable region ? responsible for Ag binding
  • Variable region is a concatenation of three
    genes, V (Variability), D (Diversity) and J
    (Joining) each from a separate gene library ?
  • Binding is Ab paratope to Ag epitope

45
The Antibody Molecule1
  1. Heavy (H) and light (L) chains variable (V) and
    constant (C) regions of the antibody molecule
  1. The V, D and J gene libraries from which the
    antibody DNA is assembled

46
Combinatorial And Junctional Diversity
  • Occurs in the bone marrow when lymphocytes are
    first created
  • Expressed by random combinatorial joining of a D
    and J gene followed by a V gene in the VH chain
  • Junction misalignment if amino acids dont line
    up causing some to be dropped (Frame shift). Many
    are non-translatable or unproductive and are
    dropped
  • Productive recombinations result in cells which
    repeat with V and J genes of VL chain
  • Estimated combinatorial diversity from both
    chains 5x107

47
Somatic Hypermutation
  • Expressed in B cell (somatic) clonal reproduction
  • Mutation rate 109 times normal (hyper)
  • Types of mutation in Ab V region (receptor)
  • Point mutations
  • Short deletions
  • Insertion of random gene sequence (receptor
    editing 25)
  • Results
  • Most non-functional or low affinity receptors
    eliminated by apoptosis (mechanism not
    understood) and negative selection
  • Some are autoreactive and eliminated by negative
    selection
  • A very few may have increased affinity due to
    conformational change and positive selection
  • Total coverage of antigen repertoire thought to
    be complete

48
The Clonal Selection Principle
  • Governs generation of new lymphocytes by plasma
    cells
  • Clonal copies of parents under somatic
    hypermutation
  • Elimination of autoreactive unproductive clones
  • Proliferation and differentiation resulting from
    antigen activation of B cells
  • Autoimmune disease the result of autoreactive
    clones resistant to early elimination by
    self-antigens
  • The total number of lymphocytes kept relatively
    constant over time by regulation
  • Responsible for maintaining Ab repertoire
    diversity recall repertoire is 108, 107
    replaced daily so complete replacement in 10 days

49
Combinatorial Diversity and Shape Space Coverage
  • Generational diversity

50
Other Mutational Effects
  • Clones may express different isotypes by
    recombination in the constant region of the
    antibody called isotype switching

51
Immune Network Theory
  • A theory to explain the self-regulation and
    memory properties of the IS
  • An Ab may display epitopes called idiotopes to
    distinguish them from Ag epitopes
  • An Abs set of idiotopes called its idiotype
  • An idiotope may be recognized by a set of
    antibody paratopes
  • Direction of recognition results in activation or
    suppression in the network

52
The Immune Network1
  1. Cascading recognition antibody view
  2. Cascading recognition sets of idiotopes and
    paratopes

53
A Complex Adaptive System
  • The IS is a complex adaptive system
  • Large populations of several classes and
    sub-classes of agents with specific unique
    behaviors
  • No central control
  • Able to regenerate its (self) elements
  • Overall population is self-regulating
  • Able to adapt to any external influence through
    an ability to generate diversity
  • A rich example of a multi-agent or swarm system

54
Features Of Computational Interest
  • Pattern recognition through affinity binding
  • Self-recognition by tolerization
  • Intrusion detection by lymphocyte / antigen
    receptor binding
  • Feature extraction through Macrophage and B cell
    antigen digestion and MHC/peptide (feature)
    presentation
  • Reinforcement learning
  • exhibited by the adaptive immune response (AIR)
    in response to repeated infection
  • Clonal selection selects for cells with higher
    affinity
  • Memory
  • AIR exhibits associative memory in the
    cross-reactive response.
  • A result of the affinity maturation principle by
    which high affinity long-lived memory cells are
    produced

55
Features Of Computational Interest (cont.)
  • Self-Regulation through AIR and lymphocyte
    population regulation
  • Generation of diversity
  • Part of affinity maturation process (clonal
    production)
  • One mechanism Combinatorial gene recombination
    and junction editing in primary lymphoid organs
  • Another mechanism Somatic hypermutation in
    secondary lymphoid organs
  • Point mutations (explore local optima)
  • Short deletions
  • Random insertions or receptor editing (escape
    from local optima)
  • Adaptation IS can respond to novel conditions
    through AIR and ability to generate diversity

56
Features Of Computational Interest (cont.)
  • Optimization the immune response and clonal
    selection result in increasingly better response
    to stimulus over time through higher affinity
    clones
  • Distributed and Collaborative processing the
    various agents in the IS interact cooperatively
    with each performing a unique set of functions to
    achieve
  • Distributed detection
  • Distributed defense
  • Robust and scalable
  • Noise tolerant due to affinity binding
    (recognition region)
  • Component failure tolerant affinity maturation
    ensures a large population of agents that carry
    desirable characteristics
  • Garbage collection activity of phagocytes

57
Other Concepts
  • Formalism allow mathematical treatment
  • Shape space and identification parameters
  • Binding functions and affinity threshold
  • Stochastic nature of affinity binding
  • Can model with differential equations
  • Neat concepts
  • Negative selection
  • Costimulation and chemical signaling
  • Helper and suppressor functions
  • Threshold mechanisms (affinity and activation)
  • Cross-reactivity

58
References
  1. de Castro, L.N. and Von Zuben, F.J. Artificial
    immune Systems Part I Basic Theory and
    Applications. Technical Report TR DCA 01/99,
    December, 1999.
  2. Eales, L.J. Immunology For Life Scientists A
    Basic Introduction. John Wiley Sons,
    Chichester, 1997.
  3. Hofmeyr, S.A.Introduction to the Immune System.
    In Design Principles for the Immune System and
    Other Distributed Autonomous Systems. Oxford
    University Press, New York, 2001.
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