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October 20, 2018 TransVision Madrid, Spain Aging: The First Obstacle to Transhumanists João Pedro de Magalhães Integrative Genomics of Ageing Group Institute of Ageing and Chronic Disease University of Liverpool, UK 2

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Page 1: Aging: The First Obstacle to Transhumanists 2...Aging: The First Obstacle to Transhumanists João Pedro de Magalhães Integrative Genomics of Ageing Group Institute of Ageing and Chronic

October 20, 2018

TransVision

Madrid, Spain

Aging: The First Obstacle to

Transhumanists

João Pedro de Magalhães

Integrative Genomics of Ageing Group

Institute of Ageing and Chronic Disease

University of Liverpool, UK

2

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TransVision 2001

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“The knowledge that every ambition is doomed to

frustration at the hands of a skeleton have never prevented

the majority of human beings from behaving as though

death were no more than an unfounded rumor.”

Aldous Huxley

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50% of people die

within 14 years (75%

in 25 year period)

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What will kill you

~50% will die of heart disease and cancer

Almost 75% will die of heart and vascular disease,

cancer and neurodegenerative diseases

Ageing is a sexually transmitted terminal disease

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0%

20%

40%

60%

80%

100%

0 500 1000 1500 2000 2500 3000 3500

% a

live

Age (yrs)

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Species with negligible senescence

Galapagos photo by Matthew Field; other photos in Public Domain

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age-1 identified in 1988

Ageing can be manipulated

by genes and interventions

“...it’s possible that we

could change a human

gene and double our life

span.” – Cynthia Kenyon

Ageing process is plastic

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Entries in GenAge Mice Flies Worms Yeast Total

Number of genes 136 193 877 909 2,152

Greatest lifespan

increase46% 150% 10-fold 6-fold -

Tacutu et al. Nucleic Acids Res, 2018

With Fraifeld lab (Israel)

Genes modulating longevity

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Longevity pathways from GenAge

Fernandes et al. Hum Mol Genet, 2016

Species Pro-longevity Anti-longevity

Mice p53-signaling pathway

and cell cycle

growth hormone and insulin

signaling, IGF-1 receptor

Flies hypoxia response via HIF

activation

PI3 kinase pathway,

oxidative phosphorylation

and IGF pathway

Worms autophagy oxidative phosphorylation,

mTOR signaling pathway

Yeast ribosome

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It is possible to manipulate ageing

Ageing is not merely the sum of age-

related diseases

Manipulations of genes, inc. by diet

and drugs, could dramatically

improve human health

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McCay et al. 1935. J Nutrit 10:63-75.

Caloric restriction

Reducing calories extends

healthy lifespan and delays

age-related diseases

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Okinawans undergo mild CR and have

better health

CR can help identify drug target genes

(e.g., rapamycin which targets TOR)

“You can live to be a hundred if you give up all the things that make you want to live to be a hundred.” ― Woody Allen

de Magalhaes et al. Pharmacol Rev, 2012

CR health paradigm

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http://genomics.senescence.info/drugs/

Barardo et al. Aging Cell, 2017

1316 entries from 27 model organisms

418 drugs/compounds

325 publications

Drugs modulating longevity

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Big data approaches

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Repurposing compounds for life-extension

de Magalhaes et al., Pharmacol Rev, 2012;

Calvert et al., Aging Cell, 2016

Overlap between longevity

signatures and drugs

4/5 drugs tested in worms

extended lifespan (inc. allantoin)

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Burgeoning anti-aging biotech sector

de Magalhaes et al., Trends in Biotech, 2017

Consult/advisor:

Five Alarm Bio, Xobaderm,

Ingenet, P3M Clinic, Apollo

Thera, Genescient,

Androcyte, 4D Pharma,

Aviva

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Playing devil’s advocate

Few % companies becomes profitable

Only 1/5000 drug candidates obtains

approval

Long validation times in aging

de Magalhaes et al., Trends in Biotech, 2017

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Drug longevity effects in animals

Barardo et al. Aging Cell, 2017

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From model organisms to humans

de Magalhaes et al., Trends in Biotech, 2017

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Human ageing remains a mystery

Poor biological understanding of human ageing

Poor understanding of the genetics of human longevity

de Magalhaes Cell Cycle, 2014; Trends in Biotech, 2017

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• Ageing remains a mystery of biology

– Why do we age?

• Genes (>2000) and drugs (>400) can extend longevity

in animals

– Will they extend human longevity? And by how much?

• Big data to prioritize drugs and targets

– How can we predict clinical outcomes?

• Growth in anti-ageing biotech

– Which intervention will work?

Summary & questions

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http://pcwww.liv.ac.uk/~aging/

[email protected]

Lab members:

Daniel Thornton,

Dominic Bennett,

Jacob Edogbanya,

Daniel Palmer, Kasit

Chatsirisupachai,

Saara Marttila,

Daniela Martinez,

Gulam Altab,

Priyanka Raina,

Roberto Avelar

Funding sources: