Glancing to biogerontology: Biology of aging - Johannes Grillari Aging and Immortalization Research (A.I.R.) Vienna Institute of BioTechnology ...

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Glancing to biogerontology: Biology of aging - Johannes Grillari Aging and Immortalization Research (A.I.R.) Vienna Institute of BioTechnology ...
Glancing to biogerontology:
     Biology of aging

         Johannes Grillari

Aging and Immortalization Research (A.I.R.)
     Vienna Institute of BioTechnology
     Universität für Bodenkultur, Wien
Glancing to biogerontology: Biology of aging - Johannes Grillari Aging and Immortalization Research (A.I.R.) Vienna Institute of BioTechnology ...
Definition of Aging

Biological aging is a progressive,
generalized impairment of function
resulting     in    an  increasing
probability of death.
                      John Maynard Smith, 1956
Glancing to biogerontology: Biology of aging - Johannes Grillari Aging and Immortalization Research (A.I.R.) Vienna Institute of BioTechnology ...
Survival
curves
Glancing to biogerontology: Biology of aging - Johannes Grillari Aging and Immortalization Research (A.I.R.) Vienna Institute of BioTechnology ...
Successful aging:

“More life into the years”
 % survival

                     Time
Glancing to biogerontology: Biology of aging - Johannes Grillari Aging and Immortalization Research (A.I.R.) Vienna Institute of BioTechnology ...
Jeanne Calment, Arles, 122 years
                (1875-1997)

• Learns fencing
  at the age of 85
• Bicycle till 100
• Stopped
  smoking at 120
• Rap CD at 121
Glancing to biogerontology: Biology of aging - Johannes Grillari Aging and Immortalization Research (A.I.R.) Vienna Institute of BioTechnology ...
Harriet,
    1830-2006

•    Sydney - In einem Tiergarten im australischen Brisbane hat am Montag die vermutlich
     älteste noch lebende Riesenschildkröte der Welt ihren 175. Geburtstag gefeiert. Zur Feier
     des Tages gab es für die Schildkröte Harriet, die 1835 im zarten Alter von geschätzten fünf
     Jahren vom britischen Naturforscher und Begründer der Evolutionstheorie, Charles Darwin,
     von den Galapagos-Inseln mit nach England genommen wurde, einen Geburtstagskuchen
     und ihr Leibgericht: Hibiskusblüten. "Uns geht's gut und wir hoffen wirklich, dass Harriet
     noch viel älter wird", sagte Krötenpflegerin Laura Campbell. Harriet lebt seit Mitte des 19.
     Jahrhunderts in Australien.
•    Langlebigkeits-Rekord liegt bei 188 Jahren
•    Der "Langlebigkeitsrekord" liegt bei 188 Jahren, gehalten ebenfalls von einer Galapagos-
     Riesenschildkröte, die vor ihrem Tod dem König von Tonga gehörte. Darwin hatte bei einer
     seiner Forschungsreisen zu den Galapagos- Inseln drei Riesenschildkröten mitgenommen
     und sie - da er sie allesamt für männliche Exemplare hielt - Tom, Dick und Harry genannt.
     Erst in den 50er Jahren des letzten Jahrhunderts wurde der kleine Irrtum festgestellt, und
     aus Harry wurde Harriet. (APA/dpa)
Glancing to biogerontology: Biology of aging - Johannes Grillari Aging and Immortalization Research (A.I.R.) Vienna Institute of BioTechnology ...
Do all organisms age?

• Animals that stop growing, do age
  – All mammals
  – All birds
• Animals that do not stop growing, do not show
  signs of aging (or only very slowly)
  – Lobster, sturgeon und shark, reptiles
  – Sturgeon (82), Galapagos turtle (175)
  – Plaice: females continue growing, males do not (and
    age)
• However: eternal life? You cannot observe it…
  fairy tales (vampires, lost horizon, orlando)
• accidents and diseases
Glancing to biogerontology: Biology of aging - Johannes Grillari Aging and Immortalization Research (A.I.R.) Vienna Institute of BioTechnology ...
Why – the nasty question

• Aging is necessary: we have to wear out (2nd
  law of thermodynamics)
  – BUT: we are closed systems

• Aging is necessary as overcrowding control
  – BUT: Evolution does not select on the population
    level but on the individual

• But then, why??
Glancing to biogerontology: Biology of aging - Johannes Grillari Aging and Immortalization Research (A.I.R.) Vienna Institute of BioTechnology ...
Many - more or less - funny theories

•   Yoghurt (Metchnikoff – Nobel with Ehrlich)
•   Testicles
•   Rate of living theory
•   Oxidative stress (Denham Harman)
•   Death hormones.... (Denckla et al.)
Glancing to biogerontology: Biology of aging - Johannes Grillari Aging and Immortalization Research (A.I.R.) Vienna Institute of BioTechnology ...
The Baltimore Longitudinal Study

• 1958, Nathan Shock (NIA)
• 1400 men and women at the age of 18-100
• Check-up every 18-24 months
  – Clinical, physiological, biochemical, psychological
    tests
• Study is still ongoing, however: We do age
  differently (creatinine clearance)
Criteria for a “biomarker”

•   predict a person's physiological, cognitive, and physical function in
    an age-related way independent of chronological age.

•   It must be able to be tested repeatedly without harming the person.

•   Preferably, it should work in laboratory animals as well as humans.

•   Biomarkers need to be simple and inexpensive to use. They should
    cause little or no pain and stress. And they must measure aging
    accurately.
How can you measure biological age?

•   Hair greying
•   Length of ear lobes
•   Strength of fist
•   Fuction of heart
•   Sports
•   Lung capacity
        There is no parameter…
What are the mechanisms
       of Aging?

 Aging is very heterogenous, large
differences between chronological and
             biological age
What are the mechanisms
Tina Turner, 68      Keith Richards, 65
                                        of
                 Aging?

          Aging is very heterogenous, large
         differences between chronological and
                      biological age
What might determine the rate of aging

   (1) Accumulation of stochastic damage

              counteracted by

  (2) genetically determined repair capacity

                     and

     (3) environmentally regulated repair

                                     Disposable Soma Theory
                                               Tom Kirkwood
Disposable Soma Theory
                   (Tom Kirkwood, 1977)

In the wild life:
• Limited energy intake
• Allocation of energy
  – Maintenance
  – Reproduction

                                          N. Tavernarakis, 2007
The stochastic damage
                component

• Overexpression of antioxidative proteins and
  decreasing ROS prolongs life span
• Life span of species is correlated with repair
  activity of their cells
• Progeroid syndromes arise, if repair enzymes
  (especially DNA repair) are mutated or if stem
  and progenitor cells can not repair tissues
  anymore
• Nutrition
• „Life style“
Genetic component of aging

• Twin studies: longevity more similar than
  fraternal twins
• Children of parents who lived beyond 80
  themselves live on average 6 years longer
  than children of parents who died before
  60
• 87% of the 90-100 years old have at least
  one parent that was older than 70
Environmental regulation of repair

• Calorie restriction
• Hormesis?
• Mutations in transcription coupled repair
  – signals back to „organism level“
  – by IGF repression (Niedernhofer et al. 2007)
  – relocating energy to repair?
What „nature“ might have
             intended:

• Under favourable environment conditions:
  – Make love and babies

• Under non-favourable conditions:
  – Extend life span and retard reproduction
  – Increase the chance that the progeny meets
    better conditions
• ?
Pathways involved in increasing life
              span of mammals

• Calorie restriction
   – by higher efficiency of oxidative phosphorylation?
   – suppress fertility and increase repair?
• Nutrient sensing
   –   Suppressing insulin and GH-IGF1 Axis
   –   6 of 9 lifespan extended mice have defects in this pathway
   –   Centenarians show higher incidence of mutations in IGF1 receptor
   –   Klotho regulates IGF1 and Ca2+
   –   TOR?
• Increasing stress resistance / repair
   – the other 3 of 9 are/might be involved in stress resistance: Surf1,
     AC5, p66shc
- Amino acids
Replicative
    senescence as
    model of aging

1 population doubling

Early PD HUVECs                                     Senescent HUVECs

                           Number of doublings:
                               Age of donor
                           Life span of species
                        Premature aging syndromes
Cellular senescence contributes to age related functional decline

                         Tumorigenesis
                                                8
        DNA damage                                                Decline of organ
 ROS                                                              and tissue function -
                                                                  stem cells
   1                        2                   9

                                                       7
Replication
                                                                               Aging
                             3

                                                       6
Oncogenic                                                  Altered cell
signalling                                                 physiology

   4
                                                                  5a
         Altered
                                                        Cell
       signalling
                    5b                                removal
        function         (Stem) cell
                          depletion
                                                                   Grillari & Grillari, 2010
Senescence contributes to age
         associated diseases

• Baker
• Blasco
• dePinho
Our approach:
     Which cells have we been looking at

            • Endothelial cells
            • Renal proximal tubular epithelial
              cells
            • Skin fibroblasts

            • Fat derived adult stem cells
            • Amnion derived adult stem cells

Side effect: Immortalized cell lines of all of these cells
The screening:
    differential gene expression

                            miRNA

                 C

mRNA and
miRNA                               Protein
µ-arrays         2D DIGE            interactions
                 Electrophoresis
Identified cellular aging related
             factors

     ~ 1500 on mRNA level
      ~ 70 on protein level
      ~ 40 on miRNA level
miR-31
The working hypothesis:

         miR-31 is secreted within exosomes to the
          blood decreases osteogenic differentiation
                    and promotes growth

                             Exosomes/                                        Osteogenic
                             supernatant                Target mRNA FRZD3?   differentiation

                                                           miRNA

                                                                                               Osteoporosis?
                                                       miRNA

          Senescent                              mesenchymal stem cell
        endothelial cell
 (increased in atherosclerosis)

      Thus miRNAs might be novel members of the senescent messaging secretome
Unpublished data, not for public dissemination
Human serum derived exosomes of elderly inhibits osteogenic
                           differentiation of ASCs

                                                                                      Alizarin Quantification
                                                            2.5

                                                                                                 P =
miR-31 levels are significantly increased in
                    serum of elderly donors

                                                    25              p = 0.028

                                                    20

                           relative miR-31 levels
                                                    15

                                                    10

                                                    5

                                                    0

                                                              old             young
                                                             N=27             N=21
                                                         Mean age: 68.8   Mean age: 26.2
                                                          50-91 years      19-47 years

Unpublished data, not for public dissemination
A novel cell source for model systems
    and regenerative medicine?

                             Zhou et al. JASN, 2011
Establishing cultures of
                   HEPTECs

20.01.2014         Confidential – for internal use only
Differentiation of UiPSCs

                                                                          Cardiomyocytes
        differention

                                                 Hepatocytes
          Directed

                       Neurons

                                 Tuj1                          AFP                         cTNT
20.01.2014                              Confidential – for internal use only
Cardiomyocyte differentiation of iPSCs
Further reading

• Tom Kirkwood
  Zeit unseres Lebens: Warum altern
  biologisch unnötig ist 2000, ISBN:
  3351025092
• Robert Arking
  Biology of Aging 2006, ISBN:
  0195167392
The Grillari Labs (gio)                    The Grillari Labs (regina)
Elisabeth Schraml                          Matthias Wieser              Medical University Vienna
Rossella Monteforte                        Rita Reynoso                 Erwin Tschachler
Markus Schosserer                          Sarah Dunzinger
Hanna Dellago                              Lukas Fliedl                 LBI für Traumatologie
Barbara Preschitz                          Matthias Gerstl              Heinz Redl
Hameed Khan
Klemens Wassermann                                                      LUMC, Leiden
Sylvia Weilner                                                          Andrea B. Maier
                                           Evercyte
Eva Fuchs                                                               Rudi Westendorp
                                           Regina Grillari
Vaibhav Jadhav
                                           Otto Kanzler
Matthias Hackl
                                           Johannes Grillari
                                           Jens Pontiller               IBA, Innsbruck
                                                                        Pidder Jansen-Dürr
                                                                        Beatrix Grubeck-Loebenstein

                                                                        University of Salzburg
                              Funding                                   Johann Bauer
                              CDG
                              CERIES
                              FWF                                       Chinese Academy of
                              GEN-AU                                    Sciences
                              Austrian Academy of Sciences              Miguel Esteban
                              Herzfelder’sche Familienstiftung          Duanqing Pei
                              ACIB
                              AWS                                       TU Graz
                                                                        Marcel Scheideler
   Title page of special issue DNA Aging in Nucl. Acids Res. 2007
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