Biomarkers in Personalized Health(care): Lost in translation

Alain van Gool Professor Personalized Healthcare

Hacking Health Nijmegen – Inspiration talks 20 May 2016

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My path 1989-now

Molecular lab world • Mass spectrometry analysis of glycoproteins in human plasma • 0,05 microliter analysis: detection of 100.000 signals in one scan (1,4 Gb) • ~40.000 peptides of which >80% contain sugar modification • Diagnose patients and identify new biomarkers

500

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m/z

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Proof of principle study:

{Source: Translational Metabolic Laboratory, Radboudumc} 3

Biomarkers !?

System biology world β-cell Pathology

gluc Risk factor

{Source: Ben van Ommen, TNO}

therapy

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Society world

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• Heart beat • Steps • Glasses water/coffee • Lifestyle

Where is the molecular data?

23% chance blond hair

What does my DNA tell me?

3.1% Neanderthaler DNA

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Genetic risk lung cancer → don’t smoke !

What does my DNA tell me?

No expected adverse reaction to Warfarin

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3 key aspects of personalized health(care)

‘I want to stay healthy. If not, how do I get healthy?’

1. What to measure?

2. How much can it change?

3. What should be the follow-up for me?

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Translation is key in Personalized Healthcare !

“I’m afraid you’re

suffering from an

increased IL-1β and

an aberrant miR843

expression”

Adapted from:

?

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The challenge: design a data-driven GPS for health

• Monitor on background

• Alert when you are at risk

• Advice what to do

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