The Biological Passport
in 4P-Medicine
BioKaizen Lab SA
Rte de l'Ile-aux-Bois 1A
1870 Monthey Switerland
Pierre-Edouard So...
Importance of early diagnosis of
cancer
preemptive and predictive medicine
What screening programme
should be implemented:
 mass screening (irrespectively of risk status)
 that is Participative (...
A similar programme does already
exist !
The Biological Passport programme
applied since 2008
… on all world elite athletes
The Athlete Biological Passport
 All world elite athletes (>100'000) are subject to
 biological monitoring (>200'000 tes...
Snapshot of Biological Passport
The central dogma of biology
DNA
RNA
Protein
Metabolite
What can happen
What appears to
be happening
What makes it
happen
...
Same genome, different
metabolome
Personalized phenotypic biomarkers
Causality: Models, Reasoning and Inference, J. Pearl, Cambridge 2000
Genome
Disease Gen...
(1) To get good data
Big data: the measurement of large phenotypic profiles
from a single drop of blood
Metabolome by LC/MS
>40'000 endogenous biomolecules
(2) To personalize the data
Personalized biology: the personalization of these large
phenotypic profiles by the inference ...
Doc'H
(3) To turn these data into clinically
meaningful results
Disease scores: the recognition of the fingerprint let by
comple...
In practice: Direct-To-Consumer check-up/
screening test using Dried blood spots
-articipative
-redictive
-reemptive
-ersonalized
-atient empowering
P
and to ease
aims to be
BioKaizen Lab SA
Rte de l'Ile-aux-Bois 1A
1870 Monthey Switerland
Pierre-Edouard Sottas, PhD, CEO
pesottas@biokaizen.com
A...
Pierre-Edouard Sottas - The biological passport in 4P-Medicine - e-health 6.6.14
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Pierre-Edouard Sottas - The biological passport in 4P-Medicine - e-health 6.6.14

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Pierre-Edouard Sottas - The biological passport in 4P-Medicine - e-health 6.6.14

  1. 1. The Biological Passport in 4P-Medicine BioKaizen Lab SA Rte de l'Ile-aux-Bois 1A 1870 Monthey Switerland Pierre-Edouard Sottas, PhD, CEO pesottas@biokaizen.com
  2. 2. Importance of early diagnosis of cancer preemptive and predictive medicine
  3. 3. 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)
  4. 4. A similar programme does already exist ! The Biological Passport programme applied since 2008 … on all world elite athletes
  5. 5. 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.
  6. 6. Snapshot of Biological Passport
  7. 7. 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
  8. 8. Same genome, different metabolome
  9. 9. 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
  10. 10. (1) To get good data Big data: the measurement of large phenotypic profiles from a single drop of blood
  11. 11. Metabolome by LC/MS >40'000 endogenous biomolecules
  12. 12. (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
  13. 13. Doc'H
  14. 14. (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....
  15. 15. In practice: Direct-To-Consumer check-up/ screening test using Dried blood spots
  16. 16. -articipative -redictive -reemptive -ersonalized -atient empowering P and to ease aims to be
  17. 17. BioKaizen Lab SA Rte de l'Ile-aux-Bois 1A 1870 Monthey Switerland Pierre-Edouard Sottas, PhD, CEO pesottas@biokaizen.com Acknowledgements:
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