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COMPLEX TIME: Adaptation, Aging, & Arrow of Time

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Dynamic Multi-System Resilience in Human Aging/DervisCanVural

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Notes by user Dervis Can Vural (Univ. Notre Dame) for Dynamic Multi-System Resilience in Human Aging

Post-meeting Reflection

1+ paragraphs on any combination of the following:

  • Presentation highlights
  • Open questions that came up
  • How your perspective changed
  • Impact on your own work
  • e.g. the discussion on [A] that we are having reminds me of [B] conference/[C] initiative/[D] funding call-for-proposal/[E] research group

Noteworthy concepts and questions:

  1. Ravi: "Gerontropy". In additional to directional changes in health indicators do we get an increase in variance?
  2. Alfons: Multiscale approaches. Do multiple length and time scales really matter when they are separated? Can interdependence network approach be improved to take into account hierarchical structures of organs/tissues/cells/molecules?
  3. Ravi, Chhanda: How can theorists make themselves useful for NIH? How to communicate "theoretically driven" projects to NIH?
  4. Chhanda: Resilience builds up over time. Effect of early life history on aging. Comparative biology approaches e.g. naked mole rat
  5. Ravi, Chhanda: Very interesting plasticity effect: Physiological state does not come back exactly to the same point after perturbation. A theoretical description of physiological elasticity vs. plasticity
  6. Ingrid: Idea on multiple tipping points that are coupled. I recommend checking out Kramer's escape problem. Chhanda excellent question: Are young ecosystems more resilient, just like young people. Alfons had an excellent question: what can you say about the dynamics by knowing only qualitative causal relationships. An idea: if there are multiple models describing the same subsystems and their interactions, can these be combined/reconciled to get a result more accurate than all models individually?
  7. Peter: Potentially useful model but one should be careful about drawing conclusions from single runs. e.g. Flipping coins would also yield similar ups and downs if one looked at individual runs. It would be good to check if the model gives Gompertz (exponential) mortality curves or Weibull. I would also have critical questions about sensitivity to parameters and system size, i.e. if the damage rate was close to repair rate I suspect that the system would never collapse (given large system size).
  8. Heather. Very interesting conceptual graph derived from a real patient where multiple systems failing at different times at different rates. This resonates with Chhanda's observation that resilience is not one thing, but a multi-dimensional vector.

Reference material notes

Some examples:

  • Here is [A] database on [B] that I pull data from to do [C] analysis that might be of interest to this group (insert link).
  • Here is a free tool for calculating [ABC] (insert link)
  • This painting/sculpture/forms of artwork is emblematic to our discussion on [X]!
  • Schwartz et al. 2017 offers a review on [ABC] migration as relate to climatic factors (add the reference as well).

Reference Materials

Title Author name Source name Year Citation count From Scopus. Refreshed every 5 days. Page views Related file
Aging in complex interdependency networks Dervis C. Vural, Greg Morrison, L. Mahadevan Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 2014 19 28
A Tissue Engineered Model of Aging: Interdependence and Cooperative Effects in Failing Tissues A. Acun, D. C. Vural, P. Zorlutuna Scientific Reports 2017 6 15
Interdependence theory of tissue failure: Bulk and boundary effects Daniel Suma, Aylin Acun, Pinar Zorlutuna, Dervis Can Vural Royal Society Open Science 2018 3 21
Inferring network structure from cascades Sushrut Ghonge, Dervis Can Vural Physical Review E 2017 3 14

Presenter on the following Agenda items

Emergence of Aging in Natural and Synthetic Multicellular Structures

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