Met technologie naar gepersonaliseerde voeding op het werk (Suzan Wopereis, TNO)

1. MET TECHNOLOGIE NAAR
PERSOONLIJKE VOEDING OP HET
WERK
Suzan Wopereis

2. TNO - Better world through applied research
Research and Technology Organisation
Independent, not for profit
Founded by law (1932)
> 3000 employees
Zeist

3. Our mission
TNO connects people and knowledge to
create innovations that boost the
sustainable competitive strength of
industry and well-being of society.

4. proteomemetabolome
clinicalchemistry
transcriptome
fluxes
Technology: high throughput,
multi organ, multi level
High-end data mining and
warehousing
Technology: Extensive phenotyping by ‘omics’ analysis

5. Piskijker, Joos van Craesbeek,
ca 1600
Expertise: Systems health diagnosis

6. Different from the inside…

7. Different from the outside…
Different from the outside…

8. Different from the outside…
Different from the outside…

9. Different from the outside…
Different from the outside…

10. Different from the outside…
Different from the outside…
Different from the outside…

11. Different from the outside…
Different from the outside…

12. Different from the outside…
Different from the outside…

14. So what`s the
right diet for
me?

15. From public Health
dietary recommendations
dietary recommendations are mostly
based on epidemiology:
associations of the masses

16. to a multitude
of “diet types”
based on a mix of science, fiction and commerce…
Dietary choices are based on the “choice of the book”

17. Information overflow?
Misleading Information?

18. The challenge concept:
Study and quantification of the stress response curve
Fat
Sugar
Protein

19. The idea: flexibility as a measure of health

20. proteome
metabolome
clinicalchemistry
Blood sampling at multiple time
points after challenge,
up to 10 hours
transcriptome
Time course studies to monitor challenge test response

22. Challenge test as sensitive toolbox for personal health
diagnosis

23. Personalising nutrition helps!
Adapted from: Zeevi et al., 2015, Cell.
Celis-Morales C et al., Int J Epidemiol. 2016
Zeevi et al. approach Food4Me approach
genetics

24. Personalised advice for healthy muscles
SenTo
N=800
N=59 (63% female)
Age 60 – 79y
Sedentary behaviour ≥ 10h/day
BMI 20-30
Good general health
Personalised advice:
7 x nutrition, 2 x exercise
Personalisation based on:
• Content: Muscle health, wellbeing,
lifestyle
• Form: freedom of choice
Generic advice:
Leaflet Dutch food based
dietary guidelines
(Voedingscentrum)

25. Monitoring:
Weekly: physical activity
Every 3 weeks: Food intake
Every 3 weeks: Compliance & self-efficacy
Feedback & Advice
Baseline & end: Feedback on health
Every 3 weeks: Feedback & advice on lifestyle
behaviour
End
assessment
@location
9 week intervention period DiY@home
Baseline
assessment
@location
Measurements:
Muscle health
Wellbeing
Socio-psychology
Measurements:
Muscle health
Wellbeing
Socio-psychology
Evaluation
Study design:
measurements, feedback & advice

26. Health measurements @location

27. Arm & thigh
circumference
InstrumentsWeight &
fat percentage
Total cholesterol
HDL & LDL
Ratio tot Chol/HDL
Triglycerides
Glucose
Handgrip
strength
Short Physical Performance Battery
Chair stand
Balance
Speed
Lean mass
Measures included in muscle score:
Questionnaires
Motivation
Energy
Resilience
Weight &
fat percentage
BMI, Body Fat
Waist, length
Measures included in wellbeing score:
SBP
DBP
Do it yourself (DIY) tools:
muscle health & wellbeing

28. Muscle
your score
Wellbeing
your score
Muscle
Wellbeing
Optimal
Reduced
You
Individual feedback on health
Muscle
your score
Wellbeing
your score
Muscle
Wellbeing
Optimal
Reduced
You
Muscle
your score
Wellbeing
your score
Muscle
Wellbeing
Optimal
Reduced
You

29. Personalized advices based on health status,
intake & knowledge on mechanisms
Food diary
ACE, TCF7L2, FTO, FADS1,
GDF5, VDR
Genetic variation

32. Both groups showed an improved muscle health
after 9 weeks of being provided with lifestyle advice
Both groups showed improved wellbeing:
glucose, C-peptide, LDL-cholesterol were improved
Personalisation is beneficial especial for subjects
with a low self-efficacy
Only the personalised advice group showed
reduced weight, fat % and waist circumference
Only the personalised advice group showed
increased vitamin D intake & water intake (females only), higher
plasma EPA & DHA and lower AA levels (DBS)
Health results

33. Many amino acids changed on both interventions (BCAA, non-
essential AA)
Some show additional changes in personalised advices group
(essential AA, aromatic AA)
Some show additional changes in personalised advices
group in females or males only (ADMA, SDMA,
glucogenic AA and insulin secretion by beta-cell)
Health results: effects on resilience?
Fasting & Postprandial glucose
Fasting & Postprandial C-peptide
Fasting & Postprandial amino acids
Metabolism

34. Personalised nutrition in healthy range of population

35. Current partners
Wageningen U&R
TNO
Philips
Google Food
Menzis
Albert Heijn
Jumbo
FrieslandCampina
PS in foodservice
Noldus IT
SmartWithFood
VitalinQ
Sense Health
NIPED
Vital 10

36. Food and nutrition are hot!
There is a booming business of new technology and
apps allowing a consumer to quantify aspects of health
Personalised dietary advices may empower individuals to
make a sustainable healthy lifestyle choice!
First business on personalised nutrition
is reality, which combines the latest
science with the latest technology
developments
This can be also be translated to retail
and foodservices!
Summary

37. THANK YOU FOR
YOUR ATTENTION