Quisper launch: 2. Personalised nutrition - Jo Goosens

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Quisper Personalised nutrition *** Introduction and concept Jo Goossens shiftN Quisper introduction, Leuven 8 Dec 2015

Transcript of Quisper launch: 2. Personalised nutrition - Jo Goosens

Page 1: Quisper launch: 2. Personalised nutrition - Jo Goosens

Quisper

Personalised nutrition ***

Introduction and concept

Jo Goossens

shiftN Quisper introduction, Leuven 8 Dec 2015

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• The background of the idea

• What personalised nutrition (PN) is

• Why the time is right

• How PN services could take shape

• How Quisper can be at the core of PN services

• How the Quisper service is organised

• The mission and vision of the Quisper organisation

• The suggested operational basis for Quisper

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EU FP7 projects at the basis of Quisper • Explore barriers and opportunities in scientific, business and

consumer aspects of personalised nutrition

• To consider the future of health and nutrition and develop novel business model concepts for personalised nutrition

• 2011-2015

• Create an operational platform as a basis for business and research initiatives in personalised dietary and lifestyle advice services

• Integrating data and results from previous EU-projects with existing and new commercial activities of SMEs

• 2014-2015

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EU FP7 projects at the basis of Quisper

• Create an operational platform

• 2016 >>>

Quisper

SMEs

Research Partners:

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WHAT IS PERSONALISED NUTRITION?

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Working definition of personalised nutrition

Nutrigenomics (University of California, Davis)

The science of how foods affect our genes, how individual genetic differences can affect the way we respond to nutrients and how this

gene-nutrition interaction affects diet-related diseases

The recommendation of a dietary behaviour that is appropriate for an individual to maintain optimal health.

It takes into account the individual’s dietary and lifestyle patterns and preferences, phenotypic (biomarker) status and genetic background and delivers advice about food choice, eating

patterns and lifestyle relevant to nutrition and health

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The essence of personalised nutrition

Biological status - Physical (weight,…) - Genetics (SNPs) - Physiological

(biomarkers)

Nutrition behaviour - food choices - eating patterns Lifestyle - physical - psychological - emotional - societal

Metabolic factors

Behavioral factors

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The essence of personalised nutrition

Assess risk/benefit profile

PN advice

Dietary behaviour

change

Effectiveness

Personal goals and preferences - Health - Food - Lifestyle - Performance - Beauty - PN process

Metabolic factors

Behavioral factors

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Measurement – Analysis - Assessment

Coaching

The essence of personalised nutrition

Assess risk/benefit profile

PN advice

Effectiveness

Dietary behaviour change

Personal goals and preferences

Personal goals and preferences - Health - Food - Lifestyle - Performance - Beauty - PN process

Metabolic factors

Behavioral factors

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Personalised nutrition – dual action

Significant improvement of the

reliability and appropriateness of the dietary advice

Genetic background

Metabolic profile

Influence of external factors

Evolution over time

Actual condition (biomarker analysis)

Tools and coaching approaches that allow adopting a

lasting dietary behaviour change

Food preferences

Lifestyle preferences

Feedback mechanisms (monitoring and analysis)

Interface preferences

Socio-psychological factors

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metabolic group level

3 types of personalisation

biomarkers<>nutrient<>genotype interactions

Optimal nutrient requirements

phenotyping (physical parameters and biomarkers)

genotyping (SNP profile)

Basic personal nutritional recommendations

individual level

dietary intake food preferences lifestyle preferences

Individual recommendation for dietary behaviour

interface, tools, feedback preferences, psycho-social factors

Personalised nutrition

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interface, tools, feedback preferences, psycho-social factors

dietary intake food preferences lifestyle preferences

phenotyping (physical parameters and biomarkers)

genotyping (SNP profile)

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The essence of personalised nutrition

is about adjusting nutritional advise

using all individual metabolic/genetic information,

and personal coaching the adoption of a healthier diet and lifestyle

recommending dietary patterns that fit individual preferences

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Gene-based science and technology The human genome analysis has allowed us to understand gene-nutrition relationships (nutrigenomics) and to better interpret biomarker-nutrition relationships.

Knowing the genetic make-up of an individual provides us with new capabilities to understand how food and dietary behaviour influences individual health and to asses individual risk for disease.

A capability

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Health costs – a huge societal burden

Largely due to obesity and chronic diseases, which are essentially a consequence of inappropriate food habits and lifestyles

Important changes to the health care systems are expected for societies to cope with the rising costs

However the locus of control of health is the individual, raising issues of social responsibility in maintaining individual health

A need

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Individualism and freedom of choice

…requires significant empowerment of individuals to be able to make informed and responsible choices

… which is very difficult in complex and very emotional issues like food and health due to the difficulty to access and understand the knowledge

… unless enabling tools become available, appropriate and user-friendly

A desire

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Personalised nutrition is

an opportunity at the confluence of these 3 major trends

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Risk perception

Benefit perception

Health commitment

Perceived efficacy control and regulation

Internal health locus of control

+0.252* 0.648*

-0.097*

+0.095*

+0.065

+0.043*

+0.123* +0.111*

Poinhos, van der Lans, Rankin, Fischer, Bunting, Kuznesof, Stewart-Knox and Frewer, i2015, PLoS one.

Self efficacy

Attitude towards PN

Intention to adopt PN

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Consumer perceived risks: privacy protection

Not securely stored

Misuse by authorities

PN not effective

Misuse by insurance

Misuse by advertisers

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Consumer perceived risks: trust in providers

Food retailers

On-line PN companies

Food Manufacturers

News media

Family doctor

Dietician/Nutritionist

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Friends, families, trainers, universities, etc...

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Attributes to differentiate

Group support ⇔ one-to-one guidance groups may motivate to adhere to advice

Dietary intake data ⇔ phenotypic data ⇔ genotypic data

dietary intake data often seen too general

phenotypic data is most acceptable, familiar

genotypic data is often too far-fetched

Scientific evidence ⇔ alternative evidence there is a niche favoring experience-based evidence

Individual payment ⇔ sponsored program government or employer sponsored programs are viable option for some

Personal food preferences ⇔ radical change in dietary patterns

dietary advice based on personal food preferences is easier to comply to, but for some it is too much in conflict with health needs

What do consumers expect from a PN service?

Essential attributes

Regular support

& guidance

Exercise & lifestyle

Qualified expert advice

Personal contact

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Who can organise this?

Information collection

questionnaires

analytics

quantified self

sampling

lifestyle/food, habits &

preferences

monitoring tools

biological status

Risk/benefit -

Advice generation

databases

scientific advisory

algorithms

Delivery feedback interface

personal contact

mobile tools

Behaviour supporting

tools

personalised food delivery

shopping assistants

intelligent kitchen

Who will handle all of these activities?

A new networked system is likely to emerge …

which will influence all food and health systems, from food manufacturers to distributors,

from health advisors to all actors involved in food related health services

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Individual clients (consumers, patients, employees,…)

New business models – new integrating actors

PN service integrators

Medical appliance industry

Database service

providers

Knowledge rule

developers

Diagnostics industry

Analytical laboratories App

interface providers

Household appliance industry

Hospitals

Medical profession

Dieticians/nutritionists

Retailers

Wellness/Fitness centres

Employers

Schools Day-care

Public health care

Insurance

Database service

providers

Knowledge rule

developers

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Technology will be adding significant drive

Diagnostic and monitoring tools

reduce the barrier to ‘quantify yourself’, both on metabolic status and behaviour

awareness about the actual personal health status

Nutrigenomics

is deepening insights in the link between metabolism and health

more reliable and appropriate nutritional and dietary advice

Mobile interfaces

make information ubiquitous and instantly available

facilitate instant informed decision making in food choices (shopping, menu-choice, activity) Quisper, Leuven - 8/12/2015 Jo Goossens - shiftN 23

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HEALTH Management

Programm

Data Center

HEALTH CARE SERVICE-

PROVIDER

A vision of the future Technology will integrate many aspects

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on-line monitoring devices

genetic testing

Body weight Blood pressure Blood metabolites Exercise monitoring

CONSUMER

food intake quantification

SUPERMARKET

RESTAURANT

Home delivery

3D-printer

Quisper aims to be the scientifically reliable database/interpretation tool

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Personalised nutrition <> societal impact

Value creation concepts for personalised nutrition are inherently linked to a change in the societal context

Personalised nutrition value creation concepts

Changing perceptions in society on the value of food and its role in health

Personalised nutrition concepts are very likely to result in societal changes

Societal changes to resolve the nutrition and health issue are very likely to trigger personalised nutrition concepts

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Common features of future value creation concepts

Gradually emerging in a changing environment (transition dynamics)

Networked structure

Initiators and integrators driving the development

Distributed profit centres

Community driven and society encompassing approaches

Public private partnerships will be most relevant to accommodate societal impact

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Quisper 10/09/14 Buisness & Activity Model Consolidation 2

7

www.quisper.eu www.qualify-fp7.eu

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This project has received funding from the European Union’s Seventh

Framework Programme for research, technological development and

demonstration under grant agreement no 613783.

Thank you