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COMPLEX TIME: Adaptation, Aging, & Arrow of Time

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Aging and Adaptation in Infectious Diseases II/Session IV: Short Talks for Late Arrival

From Complex Time

May 1, 2019
10:00 am - 12:00 pm

Chair

Jean Carlson (UCSB)

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Biozzi mice and the antibody-lifespan connectio
Presenter
Andrea L. Graham (Princeton)

Abstract

Research on laboratory mice has provided much of what we know about the fundamental biology of the mammalian immune system. Yet because so few life-long experiments have been conducted on mice, we know remarkably little about immunosenescence in “the model mammal.”  Classic work on Biozzi mice is an important exception.  I will describe some of the experiments and key insights of the work of Biozzi and colleagues in the 1960s-1980s, especially on links between antibody responsiveness and organismal longevity.    

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Title Author name Source name Year Citation count From Scopus. Refreshed every 5 days. Page views Related file
Genetic regulation of the specific and non-specific component of immunity Immunology Letters 1987 0 3 Download
Correlation between genetic regulation of immune responsiveness and host defence against infections and tumours European Journal of Clinical Investigation 1982 0 10 Download
Life-Span, tumor incidence, and natural killer cell activity in mice selected for high or low antibody responsiveness Journal of the National Cancer Institute 1984 0 6 Download
Inheritance of immune responsiveness, life span, and disease incidence in interline crosses of mice selected for high or low multispecific antibody production. V. Covelli, D. Mouton, V. Di Majo, Y. Bouthillier, C. Bangrazi, J. C. Mevel, S. Rebessi, G. Doria, G. Biozzi Journal of Immunology 1989 0 12 Download
CD4 memory T cell levels predict life span in genetically heterogeneous mice. FASEB journal : official publication of the Federation of American Societies for Experimental Biology 1997 0 2
Genetic control of immune responsiveness, aging and tumor incidence Mechanisms of Ageing and Development 1997 0 4 Download
A Major Role of the Macrophage in Quantitative Genetic Regulation of Immunoresponsiveness and Antiinfectious Immunity Advances in Immunology 1984 0 3
Understanding immunosenescence with an interplay of innate and adaptive immunity
Presenter
Shenshen Wang (UCLA)
Jiming Sheng (UCLA)

Abstract

In this collaborative project, we seek to understand various observations on immunosenescence, such as the breakdown of innate-adaptive collaboration and increasing variability of individual performance later in life. Earlier theoretical works have yielded much insight on the capacity of innate and adaptive immunity separately, yet these models with only one arm of the defense cannot explain the observed inflamm-aging (aging with inflammation). By considering the crosstalk between innate and adaptive responses, we build an integrative model that shows promising results consistent with experiments. Our preliminary findings highlight potential determinants of individual fates as well as the timing of inflammation dominance.    

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Drawing trajectories through disease space and visualizing how they vary
Presenter
David Schneider (Stanford)

Abstract

We have a data set that follows mice suffering from malaria from start to finish.  We’ve looked at the microbiota, circulating immune cells, cytokines and metabolites to produce a time series that follows about 800 variables. We can map many of these, like the metabolites, onto function based networks that were worked out decades ago. We can also make networks de novo based only on the data.  We added variation to this system by measuring these parameters across 8 different mouse strains that show extreme variation in their survival as well as testing aged mice for one strain.  The problem I now face is showing how these networks vary over strain space and age in a way that helps the viewer understand the biology behind these changes. Should we be modeling the trajectory of the infections through interesting phase spaces?  Should we be observing how the networks change over time and genetic space, and how should we do that?

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