Pierre-Edouard Sottas - The biological passport in 4P-Medicine - e-health 6.6.14
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Transcript of Pierre-Edouard Sottas - The biological passport in 4P-Medicine - e-health 6.6.14
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The Biological Passport in 4P-Medicine
BioKaizen Lab SA Rte de l'Ile-aux-Bois 1A 1870 Monthey Switerland
Pierre-Edouard Sottas, PhD, CEO [email protected]
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Importance of early diagnosis of cancer
preemptive and predictive medicine
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What screening programme should be implemented:
mass screening (irrespectively of risk status)
that is Participative (patient-empowering)
based on annual check-ups (biological monitoring)
targeting multiple cancers and other diseases from a simple blood test (multi-diseases)
based on the latest advances in omics fields (big data)
with data automatically saved in an Individual Electronic Health Record (IEHR)
tailored to each patient (Personalized diagnosis)
that does not increase healthcare costs (cost-effectiveness)
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A similar programme does already exist !
The Biological Passport programme applied since 2008
… on all world elite athletes
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The Athlete Biological Passport
All world elite athletes (>100'000) are subject to
biological monitoring (>200'000 tests per year)
based on blood or urine tests targeting multiple forms of doping and diseases
using high-throughput “big data” omics technologies
automatically uploaded from 32 worldwide laboratories in an IEHR database located in Montreal, Canada
with data automatically personalized based on previous test results and/or through the inference of genetic polymorphisms
with optimized cost-effectiveness.
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Snapshot of Biological Passport
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The central dogma of biology
DNA
RNA
Protein
Metabolite
What can happen
What appears to be happening
What makes it happen
What has happened and is happening
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Same genome, different metabolome
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Personalized phenotypic biomarkers
Causality: Models, Reasoning and Inference, J. Pearl, Cambridge 2000
Genome
Disease Genome
Metabolome
Disease
From genotype to phenotype: the metabolome as functional intermediate of pathways to disease
Genome
Disease
OR
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(1) To get good data
Big data: the measurement of large phenotypic profiles from a single drop of blood
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Metabolome by LC/MS >40'000 endogenous biomolecules
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(2) To personalize the data
Personalized biology: the personalization of these large phenotypic profiles by the inference of genetic polymorphisms and the use of previous individual test results
population-based reference ranges
individual-based reference ranges
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Doc'H
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(3) To turn these data into clinically meaningful results
Disease scores: the recognition of the fingerprint let by complex diseases in large omic profiles with specific pattern recognition techniques
diabetes mellitus
aortic aneurysm
colon cancer
Alzheimer
prostate cancer etc....
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In practice: Direct-To-Consumer check-up/ screening test using Dried blood spots
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-articipative -redictive -reemptive -ersonalized -atient empowering
P and to ease
aims to be
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BioKaizen Lab SA Rte de l'Ile-aux-Bois 1A 1870 Monthey Switerland
Pierre-Edouard Sottas, PhD, CEO [email protected]
Acknowledgements: