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Epidemic Spreading Model to
Characterize Misfolded proteins
in Aging and Associated
Neurodegenerative Disorders
Yasser Iturria-Medina,
Roberto C. Sotero,
Paule J. Toussaint,
Alan C. Evans,
and the Alzheimer's Disease Neuroimaging Initiative
Montreal Neurological Institute
Published: November 20, 2014
Outline
1. Introduction
2. Result
3. Discussion
4. Method(Not covered today)
Feb 11,2015
Outline
1. Introduction
• Background
• Model
• Observation
• Assumption
• Difficulties
• Goals
2. Result
3. Discussion
4. Method
Outline
1. Introduction
• Background
• Model
• Observation
• Assumption
• Difficulties
• Goals
2. Result
3. Discussion
4. Method
Prof. Kuo
Prof. Kuo
Amyloid plaque
Neurofibrillary tangle
Dystrophic neurite
Ab precursor protein
ISEVKMDAEFRHDSGYEVHHQKLVFFAEDVGSNKGAIIGLMVGGVVIATVIVITL
1 16 28 40/42
C
H
ONH2 COOH
Ab
Extracellular Intracellular

b 
b (671-672)  (711-712 or
713-714)
 (687-688)
Secretase
Prof. Kuo
APOE
Gene Frequency(Allele Frequency)
APO E2 8 % 7 %
APO E3 85 % 73 %
APO E4 7 % 20 %
Normal A.D.
http://www.alzgene.org/meta.asp?geneID=83
Age at onset (years)
Corder et al. Science 1993; 261: 921–923
Outline
1. Introduction
• Background
• Model
• Observation
• Assumption
• Difficulties
• Goals
2. Result
3. Discussion
4. Method
Model
• Aβ clearance deficiency
• anatomical distance
• regional Aβ arrival time & Aβ deposition likelihood
• multi-factorial (APOE e4,gender,educational level)
• Aβ propagation
• Aβ propagation => τ protein
Outline
1. Introduction
• Background
• Model
• Observation
• Assumption
• Difficulties
• Goals
2. Result
3. Discussion
4. Method
Observation
• MP behave infectious-like
• initial host regions -> other brain regions
• disease factor accumulate -> cellular death/cortical atrophy
Outline
1. Introduction
• Background
• Model
• Observation
• Assumption
• Difficulties
• Goals
2. Result
3. Discussion
4. Method
Assumption
• Molecular diffusion process
• Axonal process
Outline
1. Introduction
• Background
• Model
• Observation
• Assumption
• Difficulties
• Goals
2. Result
3. Discussion
4. Method
Difficulties
• developing molecular pathological approaches capable
of reproducing MP propagation
• a better understanding of MP spreading factors
• evaluate their contribution to disease progression in
relation with other postulated pathological
mechanisms
• the ability of this model to replicate real MP
propagation/deposition patterns remained unexplored
Outline
1. Introduction
• Background
• Model
• Observation
• Assumption
• Difficulties
• Goals
2. Result
3. Discussion
4. Method
Goals
• Epidemic Spreading Model to Characterize Misfolded proteins in
Aging and Associated Neurodegenerative Disorders
Outline
1. Introduction
2. Result
• ESM ,Epidemic Spreading Model
3. Discussion
4. Method
ESM
Subjects
Characteristics AD
(n = 111)
LMCI
(n = 196)
EMCI
(n = 233)
HC
(n = 193)
Women 47(42 %) 88 (44 %) 100(43 %) 94 (49 %)
Age (years) 74.30 (7.92) 71.72 (7.71) 70.77 (7.18) 73.88(5.73)
APOE e4 (1 copy) 61 (55 %) 108 (55 %) 94 (40 %) 50 (26 %)
APOE e4 (2 copies) 19 (17 %) 30 (15 %) 14 (6 %) 4 (2 %)
Education (years) 15.82 (2.63) 16.06(2.81) 16.00(2.65) 16.46(2.71)
MMSE1 22.82(2.01) 27.60(1.80) 28.39(1.52) 29.10(1.14)
CDR2 4.45(1.66) 1.68(0.99) 1.26(0.76) 0.02(0.11)
1MMSE, mini-mental state examination; 2CDR, clinical dementia rating. Data are number (%) or mean (std).
Epicenter
Infectious seeds (reference source) Explained variance (%)
Posterior and anterior cingulate cortices (automatic selection,
this study)
35.8±1.22
Posterior cingulate cortex and temporal-parietal junction [1] 17.5±1.87
Angular gyrus [2] 14.7±0.45
Amygdala, orbitofrontal cortex and hippocampus [3] 4.33±0.37
Entorhinal cortex [4] 3.47±0.88
*Data are regional deposition explained variance ± 0.975 quantile.
(I’ll mark PCC in next slide)
cingulate cortices
𝑑𝑖𝑠𝑡𝑎𝑛𝑐𝑒 , Aβ level
Multifactor, clinical diagnosis
Modulators Aß Production
rate (β)
Aß Clearance
rate
(δ)
Noise
(σ)
Onset Age
(Ageonset)
Clinical diagnosis
(HC, EMCI, LMCI,
AD)
2.15(-0.75,3.77) 8.45(4.88,11.89) 0(-3.73,0) 6.77(3.41,9.88)
Outline
1. Introduction
2. Result
3. Discussion
4. Method
Anatomic connectivity impact on intra-brain
MP propagation
• connectivity vs. random
• Connectional degree vs. vulnerability
Identification of MP propagation epicenter
• Hard to determine the epicenter
1. The fact
2. Located spatially close
3. Model limitation
• Improve
• Longitudinal PET Aβ
• Animal model (discover mismatch)
Aβ clearance deficiency and implications for
medication therapies
• Aβ production rate between AD and normal control
• Cellular pathway
• Increment of Aβ and τ clearance capacities
• Immunological reinforcement
• Genetically induced enhancement
Summary
• To our knowledge, the ESM is the first computational model
highlighting the direct link between structural brain networks,
production/clearance of pathogenic proteins and associated
intercellular transfer mechanisms, individual genetic/demographic
properties and clinical states in health and disease
Thanks to Prof. Kuo
• Introduction of AD
• Several pages of slides
• Fully support
Outline
1. Introduction
2. Result
3. Discussion
4. Method
(1) Change rate of probability
•
𝑑𝑃 𝑖
𝑑𝑡
= 1 − 𝑃𝑖 𝑡 𝜀𝑖 𝑡 − 𝑃𝑖 𝑡 𝛿𝑖 𝑡 + ℵ
• ε : probability of receiving MP infectious-like agent
• 𝛿 : probability of being clean
(2) Probability of being infected
• 𝜀𝑖 𝑡 = 𝑗≠𝑖 𝑃𝑎𝑗→𝑖 𝛽𝑗
𝑒𝑥𝑡
𝑡 − 𝜏𝑖𝑗 𝑃𝑗 𝑡 − 𝜏𝑖𝑗 + 𝑃𝑎𝑖→𝑖 𝛽𝑖
𝑖𝑛𝑡
𝑡 𝑃𝑖 𝑡
• 𝑃𝑎𝑗→𝑖 : weighted anatomical connection probability
The NiConnect project – Parietal
(3) Infection rate
• 𝛽𝑖
𝑒𝑥𝑡
𝑡 = 𝑔 𝑡 𝛽𝑖 𝑡 ,
• 𝛽𝑖
𝑖𝑛𝑡
𝑡 = (1 − 𝑔 𝑡 )𝛽𝑖 𝑡
• 𝛽𝑖 = 𝛽𝑖
𝑒𝑥𝑡
+ 𝛽𝑖
𝑖𝑛𝑡
(4) Infection rate(2)
• 𝛽𝑖 𝑡 = 𝛽𝑖 𝑃𝑖, 𝛽0 = 1 − 𝑒−𝛽0 𝑃 𝑖(𝑡)
• 𝛽0 ∈ [0, +∞)
(5) Clearance rate
• 𝛿𝑖 𝑡 = 𝛿𝑖 𝑃𝑖, 𝛿0 = 𝑒−𝛿0 𝑃 𝑖(𝑡)
• 𝛿0 ∈ [0, +∞)
Probability of Aβ deposition
• 𝑃𝑖
𝐴𝛽
=
1
𝑉 𝑖
𝑟∈𝑉 𝑖
𝑃(𝑃𝐸𝑇𝐶𝐵
𝑚𝑎𝑥
≤ 𝑃𝐸𝑇𝑟)
Thanks to Prof. Kuo
• Introduction of AD
• Several pages of slides
• Fully support
Copyright
The article is open-access, and distributed under the term of the
Creative Commons Attribution License, which permits unrestricted use,
distribution, and reproduction in any medium, provided the original
author and source are credited.
I follow the license beyond , and share-alike.
If this slide is infringing the right of the authors, please inform me.
Omar Yang, 2014/12/29
y0028613702420400@gmail.com

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Epidemic spreading model to characterize misfolded proteins Propagation in Aging and Associated Neurodegenerative Disorders

  • 1. Epidemic Spreading Model to Characterize Misfolded proteins in Aging and Associated Neurodegenerative Disorders Yasser Iturria-Medina, Roberto C. Sotero, Paule J. Toussaint, Alan C. Evans, and the Alzheimer's Disease Neuroimaging Initiative Montreal Neurological Institute Published: November 20, 2014
  • 2. Outline 1. Introduction 2. Result 3. Discussion 4. Method(Not covered today) Feb 11,2015
  • 3. Outline 1. Introduction • Background • Model • Observation • Assumption • Difficulties • Goals 2. Result 3. Discussion 4. Method
  • 4. Outline 1. Introduction • Background • Model • Observation • Assumption • Difficulties • Goals 2. Result 3. Discussion 4. Method
  • 6. Prof. Kuo Amyloid plaque Neurofibrillary tangle Dystrophic neurite
  • 7. Ab precursor protein ISEVKMDAEFRHDSGYEVHHQKLVFFAEDVGSNKGAIIGLMVGGVVIATVIVITL 1 16 28 40/42 C H ONH2 COOH Ab Extracellular Intracellular  b  b (671-672)  (711-712 or 713-714)  (687-688) Secretase Prof. Kuo
  • 8. APOE Gene Frequency(Allele Frequency) APO E2 8 % 7 % APO E3 85 % 73 % APO E4 7 % 20 % Normal A.D. http://www.alzgene.org/meta.asp?geneID=83
  • 9. Age at onset (years) Corder et al. Science 1993; 261: 921–923
  • 10. Outline 1. Introduction • Background • Model • Observation • Assumption • Difficulties • Goals 2. Result 3. Discussion 4. Method
  • 11. Model • Aβ clearance deficiency • anatomical distance • regional Aβ arrival time & Aβ deposition likelihood • multi-factorial (APOE e4,gender,educational level) • Aβ propagation • Aβ propagation => τ protein
  • 12. Outline 1. Introduction • Background • Model • Observation • Assumption • Difficulties • Goals 2. Result 3. Discussion 4. Method
  • 13. Observation • MP behave infectious-like • initial host regions -> other brain regions • disease factor accumulate -> cellular death/cortical atrophy
  • 14. Outline 1. Introduction • Background • Model • Observation • Assumption • Difficulties • Goals 2. Result 3. Discussion 4. Method
  • 15. Assumption • Molecular diffusion process • Axonal process
  • 16. Outline 1. Introduction • Background • Model • Observation • Assumption • Difficulties • Goals 2. Result 3. Discussion 4. Method
  • 17. Difficulties • developing molecular pathological approaches capable of reproducing MP propagation • a better understanding of MP spreading factors • evaluate their contribution to disease progression in relation with other postulated pathological mechanisms • the ability of this model to replicate real MP propagation/deposition patterns remained unexplored
  • 18. Outline 1. Introduction • Background • Model • Observation • Assumption • Difficulties • Goals 2. Result 3. Discussion 4. Method
  • 19. Goals • Epidemic Spreading Model to Characterize Misfolded proteins in Aging and Associated Neurodegenerative Disorders
  • 20. Outline 1. Introduction 2. Result • ESM ,Epidemic Spreading Model 3. Discussion 4. Method
  • 21. ESM
  • 22. Subjects Characteristics AD (n = 111) LMCI (n = 196) EMCI (n = 233) HC (n = 193) Women 47(42 %) 88 (44 %) 100(43 %) 94 (49 %) Age (years) 74.30 (7.92) 71.72 (7.71) 70.77 (7.18) 73.88(5.73) APOE e4 (1 copy) 61 (55 %) 108 (55 %) 94 (40 %) 50 (26 %) APOE e4 (2 copies) 19 (17 %) 30 (15 %) 14 (6 %) 4 (2 %) Education (years) 15.82 (2.63) 16.06(2.81) 16.00(2.65) 16.46(2.71) MMSE1 22.82(2.01) 27.60(1.80) 28.39(1.52) 29.10(1.14) CDR2 4.45(1.66) 1.68(0.99) 1.26(0.76) 0.02(0.11) 1MMSE, mini-mental state examination; 2CDR, clinical dementia rating. Data are number (%) or mean (std).
  • 23.
  • 24. Epicenter Infectious seeds (reference source) Explained variance (%) Posterior and anterior cingulate cortices (automatic selection, this study) 35.8±1.22 Posterior cingulate cortex and temporal-parietal junction [1] 17.5±1.87 Angular gyrus [2] 14.7±0.45 Amygdala, orbitofrontal cortex and hippocampus [3] 4.33±0.37 Entorhinal cortex [4] 3.47±0.88 *Data are regional deposition explained variance ± 0.975 quantile. (I’ll mark PCC in next slide)
  • 27.
  • 28. Multifactor, clinical diagnosis Modulators Aß Production rate (β) Aß Clearance rate (δ) Noise (σ) Onset Age (Ageonset) Clinical diagnosis (HC, EMCI, LMCI, AD) 2.15(-0.75,3.77) 8.45(4.88,11.89) 0(-3.73,0) 6.77(3.41,9.88)
  • 29.
  • 30.
  • 31. Outline 1. Introduction 2. Result 3. Discussion 4. Method
  • 32. Anatomic connectivity impact on intra-brain MP propagation • connectivity vs. random • Connectional degree vs. vulnerability
  • 33. Identification of MP propagation epicenter • Hard to determine the epicenter 1. The fact 2. Located spatially close 3. Model limitation • Improve • Longitudinal PET Aβ • Animal model (discover mismatch)
  • 34. Aβ clearance deficiency and implications for medication therapies • Aβ production rate between AD and normal control • Cellular pathway • Increment of Aβ and τ clearance capacities • Immunological reinforcement • Genetically induced enhancement
  • 35. Summary • To our knowledge, the ESM is the first computational model highlighting the direct link between structural brain networks, production/clearance of pathogenic proteins and associated intercellular transfer mechanisms, individual genetic/demographic properties and clinical states in health and disease
  • 36. Thanks to Prof. Kuo • Introduction of AD • Several pages of slides • Fully support
  • 37. Outline 1. Introduction 2. Result 3. Discussion 4. Method
  • 38. (1) Change rate of probability • 𝑑𝑃 𝑖 𝑑𝑡 = 1 − 𝑃𝑖 𝑡 𝜀𝑖 𝑡 − 𝑃𝑖 𝑡 𝛿𝑖 𝑡 + ℵ • ε : probability of receiving MP infectious-like agent • 𝛿 : probability of being clean
  • 39. (2) Probability of being infected • 𝜀𝑖 𝑡 = 𝑗≠𝑖 𝑃𝑎𝑗→𝑖 𝛽𝑗 𝑒𝑥𝑡 𝑡 − 𝜏𝑖𝑗 𝑃𝑗 𝑡 − 𝜏𝑖𝑗 + 𝑃𝑎𝑖→𝑖 𝛽𝑖 𝑖𝑛𝑡 𝑡 𝑃𝑖 𝑡 • 𝑃𝑎𝑗→𝑖 : weighted anatomical connection probability The NiConnect project – Parietal
  • 40. (3) Infection rate • 𝛽𝑖 𝑒𝑥𝑡 𝑡 = 𝑔 𝑡 𝛽𝑖 𝑡 , • 𝛽𝑖 𝑖𝑛𝑡 𝑡 = (1 − 𝑔 𝑡 )𝛽𝑖 𝑡 • 𝛽𝑖 = 𝛽𝑖 𝑒𝑥𝑡 + 𝛽𝑖 𝑖𝑛𝑡
  • 41. (4) Infection rate(2) • 𝛽𝑖 𝑡 = 𝛽𝑖 𝑃𝑖, 𝛽0 = 1 − 𝑒−𝛽0 𝑃 𝑖(𝑡) • 𝛽0 ∈ [0, +∞)
  • 42. (5) Clearance rate • 𝛿𝑖 𝑡 = 𝛿𝑖 𝑃𝑖, 𝛿0 = 𝑒−𝛿0 𝑃 𝑖(𝑡) • 𝛿0 ∈ [0, +∞)
  • 43. Probability of Aβ deposition • 𝑃𝑖 𝐴𝛽 = 1 𝑉 𝑖 𝑟∈𝑉 𝑖 𝑃(𝑃𝐸𝑇𝐶𝐵 𝑚𝑎𝑥 ≤ 𝑃𝐸𝑇𝑟)
  • 44. Thanks to Prof. Kuo • Introduction of AD • Several pages of slides • Fully support
  • 45. Copyright The article is open-access, and distributed under the term of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. I follow the license beyond , and share-alike. If this slide is infringing the right of the authors, please inform me. Omar Yang, 2014/12/29 y0028613702420400@gmail.com