Clinical OMICs - Issue 3 - (Page 21)
Nathan D. Price, Ph.D. is associate director and Leroy Hood, M.D., Ph.D., is president of the
Institute for Systems Biology.
P4 Medicine
The convergence of systems medicine, big data and its analytics, and
patient-activated social networks has
led to a medicine that is predictive,
preventive, personalized and participatory-P4 medicine. It differs from
traditional evidence-based medicine in six ways: 1) it is proactive; 2) it
focuses on the individual patient, 3) it
emphasizes wellness; 4) it generates
the personalized data clouds that provide fundamental insights into each
individual, 5) it notes that the traditional path of clinical trials is ineffective and wasteful, and it suggests that
clinical trials start with a deep analysis
of the individual and not populations
of dissimilar individuals; and 6) it contends that patient-activated social
networks will be a major driving force
www.clinicalomics.com
in the medicine of the future.
P4 medicine embodies two central
concepts-quantifying wellness and
demystifying disease. The question is
how do we bring P4 medicine to current healthcare systems? We believe
the answer to that is through largescale, information-rich longitudinal
studies such as we are launching via
the P4 pilot 100K project.
The 100K Project
The idea is to take 100,000 well
patients and then carry out detailed
genomic, proteomic, epigenetic,
metabolomics, and phenotypic measurements on them four or more times
a year-examining blood, saliva, stool
as well as other physiological and
psychological parameters. After time,
these individuals would separate into
two classes-those who remained
well (or enhanced their health) and
those who transitioned into disease.
From the data of those individuals who remained well or improved
their health we could extract metrics
for wellness. We could study those
individuals transitioning from wellness to disease at the earliest stages
of this transition-deciphering early
disease mechanisms and generating
early diagnostic markers. In time, the
insights gained offer the possibility
of transitioning patients very early
on from the disease trajectory back
to a wellness trajectory, saving the
healthcare system enormous dollars
by greatly shortening the costly disease trajectory and, most importantly,
greatly enhancing the individual's
quality of life.
Assays and Analytics
The starting basis will be a whole
genome sequence for each participant in order to have information
about the building blocks of each
individual's physiology. This will only
need to be done once, but a host of
other measures will provide details
on the dynamic changes in health
that occur over time by interaction
with the environment. Thus, we will
employ digital devices that continuously measure physiological parameters like heart rate, activity, sleep
quality, blood pressure, and weight.
We will periodically measure the
gut microbiome, clinical chemistries with a focus on nutrition, blood
(continued on next page)
May 15, 2014 Clinical OMICs
21
http://www.clinicalomics.com
Table of Contents for the Digital Edition of Clinical OMICs - Issue 3
Contents
Clinical OMICs - Issue 3
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss9
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss8
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss7
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss6
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss5
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss4
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss3
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss2
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss1
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss12
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss11
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss10
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss9
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss8
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss7
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss6
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss5
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss4
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss3
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss2
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss1
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue15
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue14
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue13
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue12
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue11
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue10
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue9
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue8
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue7
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue6
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue5
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue4
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue3
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue2
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue1
https://www.nxtbookmedia.com