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“How Studying Astrophysics and Coral Reefs
Enabled Me to Become an Empowered, Engaged Patient”
Invited Talk
FutureMed at the Hotel Del
Coronado, CA
November 4, 2013

Dr. Larry Smarr
Director, California Institute for Telecommunications and Information Technology
Harry E. Gruber Professor,
Dept. of Computer Science and Engineering
Jacobs School of Engineering, UCSD
1
http://lsmarr.calit2.net
This FutureMed Talk Builds on
My February 2013 FutureMed Presentation
Tweet Feb. 5, 2013

Daniel Kraft, MD @daniel_kraft
“With a 3D printed part of his Colon @lsmarr is an empowered patient
#futuremed http://futuremed2020.com/live”

Download My Previous Presentation From:
http://lsmarr.calit2.net/presentations?slideshow=16384993
My View on My Own Body Was Shaped
by My Lifetime of Scientific Experience

• No Formal Training in Biology or Medicine
• Instead, Decades of:
– Observational & Computational Astrophysics
– Observing & Building Coral Reef Ecologies
I Spent Decades Studying
the Ecological Dynamics of Multi-Phyla Coral Reefs

Pristine

Degraded
My 120 Gallon Home Salt Water
Coral Reef Aquarium in Illinois

My Snorkeling Photos
From Coral Reefs
My Early Research was on Computational Astrophysics –
I Learned To Think About Nonlinear Dynamic Systems
Eppley and Smarr 1977

Hydrodynamics of an
Axially Symmetric Gas Jet

Gravitational Radiation
From Colliding Black Holes

Hawley and Smarr 1985

Gas Accreting
Onto a Black Hole

Norman, Winkler, Smarr, Smith 1982
The Immune System & the Gut Microbiome are
a Coupled Dynamic Ecological System Normally in Homeostasis

Source: Eric Alm, MIT
But by Using Stool Analysis Time Series, I Discovered
I Had Episodically Excursions of My Immune System
Typical
Lactoferrin
Value for
Active
IBD

124x Upper Limit

So I Reasoned My Gut Microbiome Ecology
Must Be Disrupted and Dynamically Changing
Normal Range
<7.3 µg/mL

Antibiotics

Antibiotics

Lactoferrin is a Protein Shed from Neutrophils An Immune System Antibacterial that Sequesters Iron
Indeed, My Cultured Gut Bacterial Abundance Time Series
Revealed an Oscillatory Microbiome Ecology

LS Data from Yourfuturehealth.com
I Had Carried Out Observations in Optical, Radio, and X-Ray
on the Andromeda Galaxy in the 1980s
A Galaxy Contains
One Hundred Billion Stars

But the Human Gut Contains
1000 Times As Many Microbes!
So I Set Out to Observe the
100 Trillion Non-Human Cells in My Gut
Your Body Has 10 Times
As Many Microbe Cells As Human Cells

99% of Your
DNA Genes
Are in Microbe Cells
Not Human Cells

Inclusion of the Microbiome
Will Radically Change Medicine
When We Think About Biological Diversity
We Typically Think of the Wide Range of Animals

But All These Animals Are in One SubPhylum Vertebrata
of the Chordata Phylum

All images from Wikimedia Commons.
Photos are public domain or by Trisha Shears & Richard Bartz
Think of These Phyla of Animals When
You Consider the Biodiversity of Microbes Inside You

Phylum
Chordata

Phylum
Cnidaria

Phylum
Echinodermata

Phylum
Annelida

Phylum
Mollusca

Phylum
Arthropoda

All images from WikiMedia Commons.
Photos are public domain or by Dan Hershman, Michael Linnenbach, Manuae, B_cool
However, The Evolutionary Distance Between Your Gut Microbes
Is Much Greater Than Between All Animals

Last Slide

Green Circles Are
Human Gut Microbes
Evolutionary Distance Derived from
Comparative Sequencing of 16S or 18S Ribosomal RNA
Source: Carl Woese, et al
To Map Out the Dynamics of My Microbiome Ecology
I Partnered with the J. Craig Venter Institute
• JCVI Did Metagenomic
Sequencing on Six of My
Stool Samples Over 1.5 Years
• Sequencing on
Illumina HiSeq 2000
– Generates 100bp Reads

– Run Takes ~14 Days
– My 6 Samples Produced

Illumina HiSeq 2000 at JCVI

– 190.2 Gbp of Data

• JCVI Lab Manager,
Genomic Medicine
– Manolito Torralba

• IRB PI Karen Nelson
– President JCVI

Manolito Torralba, JCVI

Karen Nelson, JCVI
We Downloaded Additional Phenotypes
from NIH HMP For Comparative Analysis
Download Raw Reads
~100M Per Person
“Healthy” Individuals
35 Subjects
1 Point in Time

Larry Smarr

IBD Patients

2 Ulcerative Colitis Patients,
6 Points in Time

6 Points in Time

5 Ileal Crohn’s Patients,
3 Points in Time

Total of 5 Billion Reads
Source: Jerry Sheehan, Calit2
Weizhong Li, Sitao Wu, CRBS, UCSD
We Created a Reference Database
Of Known Gut Genomes
• NCBI April 2013
–
–
–
–

2471 Complete + 5543 Draft Bacteria & Archaea Genomes
2399 Complete Virus Genomes
26 Complete Fungi Genomes
309 HMP Eukaryote Reference Genomes

• Total 10,741 genomes, ~30 GB of sequences

Now to Align Our 5 Billion Reads
Against the Reference Database

Source: Weizhong Li, Sitao Wu, CRBS, UCSD
Computational NextGen Sequencing Pipeline:
From “Big Equations” to “Big Data” Computing

PI: (Weizhong Li, CRBS, UCSD):
NIH R01HG005978 (2010-2013, $1.1M)
We Used SDSC’s Gordon Data-Intensive Supercomputer
to Analyze a Wide Range of Gut Microbiomes
Source: Weizhong Li, Sitao Wu, CRBS, UCSD

Our Team Used 25 CPU-Decades
To Compute
the Comparative Gut Microbiome
of My Time Samples
and Our Healthy and IBD Controls
Starting With
the 5 Billion Illumina Reads
Received from JCVI

Enabled by
a Grant of Time
on Gordon from SDSC
Director Mike Norman
I Will Share a Few Preliminary Findings
Lessons from Ecological Dynamics I:
Gut Microbiome Has Multiple Relatively Stable Equilibria

“The Application of Ecological Theory Toward an Understanding of the Human Microbiome,”
Elizabeth Costello, Keaton Stagaman, Les Dethlefsen, Brendan Bohannan, David Relman
Science 336, 1255-62 (2012)
Comparison of 35 Healthy
to 15 CD and 6 UC Gut Microbiomes at the Phyla Level
Expansion of
Actinobacteria

Collapse of
Bacteroidetes

Explosion of
Proteobacteria
Lessons From Ecological Dynamics II:
Invasive Species Dominate After Major Species Destroyed

 ”In many areas following these burns 
invasive species are able to establish themselves, 
crowding out native species.”
Source: Ponderosa Pine Fire Ecology
http://cpluhna.nau.edu/Biota/ponderosafire.htm
Rare Firmicutes Bloom in Colon Disappearing
After Antibiotic/Immunosuppressant Therapy
Firmicutes Families

Therapy

Parvimonas
spp.

LS Time 1

Healthy
Average

LS Time 2
Lessons From Ecological Dynamics III:
From Equilibrium to Chaos

In addition to chaos,
other forms of complex dynamics,
such as regular oscillations & quasiperiodic oscillations,
are preeminent features of many biological systems.
- From “Biological Chaos and Complex Dynamics”
David A. Vasseur
Oxford Bibliographies Online
Chaos: Large Fast Changes From Small Initial Conditions:
Dramatic Bloom of Enterobacteriaceae bacterium 9_2_54FAA
This Microbe is a Proteobacteria Targeted by the NIH HMP

21,000x
LS5LS6
In Only
Two
Months

1,000x
Fine Time Resolution Sampling Revealed Regular
Oscillations of the Innate and Adaptive Immune System
LS Data from Yourfuturehealth.com

Lysozyme
& SIgA
From Stool
Tests

Innate Immune System

Normal

Therapy: 1 Month Antibiotics
+2 Month Prednisone

Adaptive Immune System
Normal

Time Points of
Metagenomic
Sequencing
of LS Stool Samples
Time Series Reveals Autoimmune Dynamics
of Gut Microbiome by Phyla
Therapy

Six Metagenomic Time Samples Over 16 Months
Next Step: Time Series of Metagenomic Gut Microbiomes
and Immune Variables in an N=100 Clinic Trial

Goal: Understand the Dynamics of
The Coupled Human Immune-Microbiome System
From Quantified Self to
National-Scale Biomedical Research Projects

My Anonymized Human Genome
is Available for Download

The Quantified Human Initiative
is an effort to combine
our natural curiosity about self
with new research paradigms.
Rich datasets of two individuals,
Drs. Smarr and Snyder,
serve as 21st century
personal data prototypes.
www.delsaglobal.org

www.personalgenomes.org
We Will See This Techniques
Become Widespread Over the Next Ten Years

All of These Technologies
Are Getting Exponentially Cheaper and Faster!
Thanks to Our Great Team!
UCSD Metagenomics Team
Weizhong Li
Sitao Wu

Calit2@UCSD
Future Patient Team
Jerry Sheehan
Tom DeFanti
Kevin Patrick
Jurgen Schulze
Andrew Prudhomme
Philip Weber
Fred Raab
Joe Keefe
Ernesto Ramirez

JCVI Team
Karen Nelson
Shibu Yooseph
Manolito Torralba

SDSC Team
Michael Norman
Mahidhar Tatineni
Robert Sinkovits

UCSD Health Sciences Team
William J. Sandborn
Elisabeth Evans
David Brenner

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How Studying Astrophysics and Coral Reefs Enabled Me to Become an Empowered, Engaged Patient

  • 1. “How Studying Astrophysics and Coral Reefs Enabled Me to Become an Empowered, Engaged Patient” Invited Talk FutureMed at the Hotel Del Coronado, CA November 4, 2013 Dr. Larry Smarr Director, California Institute for Telecommunications and Information Technology Harry E. Gruber Professor, Dept. of Computer Science and Engineering Jacobs School of Engineering, UCSD 1 http://lsmarr.calit2.net
  • 2. This FutureMed Talk Builds on My February 2013 FutureMed Presentation Tweet Feb. 5, 2013 Daniel Kraft, MD @daniel_kraft “With a 3D printed part of his Colon @lsmarr is an empowered patient #futuremed http://futuremed2020.com/live” Download My Previous Presentation From: http://lsmarr.calit2.net/presentations?slideshow=16384993
  • 3. My View on My Own Body Was Shaped by My Lifetime of Scientific Experience • No Formal Training in Biology or Medicine • Instead, Decades of: – Observational & Computational Astrophysics – Observing & Building Coral Reef Ecologies
  • 4. I Spent Decades Studying the Ecological Dynamics of Multi-Phyla Coral Reefs Pristine Degraded My 120 Gallon Home Salt Water Coral Reef Aquarium in Illinois My Snorkeling Photos From Coral Reefs
  • 5. My Early Research was on Computational Astrophysics – I Learned To Think About Nonlinear Dynamic Systems Eppley and Smarr 1977 Hydrodynamics of an Axially Symmetric Gas Jet Gravitational Radiation From Colliding Black Holes Hawley and Smarr 1985 Gas Accreting Onto a Black Hole Norman, Winkler, Smarr, Smith 1982
  • 6. The Immune System & the Gut Microbiome are a Coupled Dynamic Ecological System Normally in Homeostasis Source: Eric Alm, MIT
  • 7. But by Using Stool Analysis Time Series, I Discovered I Had Episodically Excursions of My Immune System Typical Lactoferrin Value for Active IBD 124x Upper Limit So I Reasoned My Gut Microbiome Ecology Must Be Disrupted and Dynamically Changing Normal Range <7.3 µg/mL Antibiotics Antibiotics Lactoferrin is a Protein Shed from Neutrophils An Immune System Antibacterial that Sequesters Iron
  • 8. Indeed, My Cultured Gut Bacterial Abundance Time Series Revealed an Oscillatory Microbiome Ecology LS Data from Yourfuturehealth.com
  • 9. I Had Carried Out Observations in Optical, Radio, and X-Ray on the Andromeda Galaxy in the 1980s A Galaxy Contains One Hundred Billion Stars But the Human Gut Contains 1000 Times As Many Microbes!
  • 10. So I Set Out to Observe the 100 Trillion Non-Human Cells in My Gut Your Body Has 10 Times As Many Microbe Cells As Human Cells 99% of Your DNA Genes Are in Microbe Cells Not Human Cells Inclusion of the Microbiome Will Radically Change Medicine
  • 11. When We Think About Biological Diversity We Typically Think of the Wide Range of Animals But All These Animals Are in One SubPhylum Vertebrata of the Chordata Phylum All images from Wikimedia Commons. Photos are public domain or by Trisha Shears & Richard Bartz
  • 12. Think of These Phyla of Animals When You Consider the Biodiversity of Microbes Inside You Phylum Chordata Phylum Cnidaria Phylum Echinodermata Phylum Annelida Phylum Mollusca Phylum Arthropoda All images from WikiMedia Commons. Photos are public domain or by Dan Hershman, Michael Linnenbach, Manuae, B_cool
  • 13. However, The Evolutionary Distance Between Your Gut Microbes Is Much Greater Than Between All Animals Last Slide Green Circles Are Human Gut Microbes Evolutionary Distance Derived from Comparative Sequencing of 16S or 18S Ribosomal RNA Source: Carl Woese, et al
  • 14. To Map Out the Dynamics of My Microbiome Ecology I Partnered with the J. Craig Venter Institute • JCVI Did Metagenomic Sequencing on Six of My Stool Samples Over 1.5 Years • Sequencing on Illumina HiSeq 2000 – Generates 100bp Reads – Run Takes ~14 Days – My 6 Samples Produced Illumina HiSeq 2000 at JCVI – 190.2 Gbp of Data • JCVI Lab Manager, Genomic Medicine – Manolito Torralba • IRB PI Karen Nelson – President JCVI Manolito Torralba, JCVI Karen Nelson, JCVI
  • 15. We Downloaded Additional Phenotypes from NIH HMP For Comparative Analysis Download Raw Reads ~100M Per Person “Healthy” Individuals 35 Subjects 1 Point in Time Larry Smarr IBD Patients 2 Ulcerative Colitis Patients, 6 Points in Time 6 Points in Time 5 Ileal Crohn’s Patients, 3 Points in Time Total of 5 Billion Reads Source: Jerry Sheehan, Calit2 Weizhong Li, Sitao Wu, CRBS, UCSD
  • 16. We Created a Reference Database Of Known Gut Genomes • NCBI April 2013 – – – – 2471 Complete + 5543 Draft Bacteria & Archaea Genomes 2399 Complete Virus Genomes 26 Complete Fungi Genomes 309 HMP Eukaryote Reference Genomes • Total 10,741 genomes, ~30 GB of sequences Now to Align Our 5 Billion Reads Against the Reference Database Source: Weizhong Li, Sitao Wu, CRBS, UCSD
  • 17. Computational NextGen Sequencing Pipeline: From “Big Equations” to “Big Data” Computing PI: (Weizhong Li, CRBS, UCSD): NIH R01HG005978 (2010-2013, $1.1M)
  • 18. We Used SDSC’s Gordon Data-Intensive Supercomputer to Analyze a Wide Range of Gut Microbiomes Source: Weizhong Li, Sitao Wu, CRBS, UCSD Our Team Used 25 CPU-Decades To Compute the Comparative Gut Microbiome of My Time Samples and Our Healthy and IBD Controls Starting With the 5 Billion Illumina Reads Received from JCVI Enabled by a Grant of Time on Gordon from SDSC Director Mike Norman
  • 19. I Will Share a Few Preliminary Findings
  • 20. Lessons from Ecological Dynamics I: Gut Microbiome Has Multiple Relatively Stable Equilibria “The Application of Ecological Theory Toward an Understanding of the Human Microbiome,” Elizabeth Costello, Keaton Stagaman, Les Dethlefsen, Brendan Bohannan, David Relman Science 336, 1255-62 (2012)
  • 21. Comparison of 35 Healthy to 15 CD and 6 UC Gut Microbiomes at the Phyla Level Expansion of Actinobacteria Collapse of Bacteroidetes Explosion of Proteobacteria
  • 22. Lessons From Ecological Dynamics II: Invasive Species Dominate After Major Species Destroyed  ”In many areas following these burns  invasive species are able to establish themselves,  crowding out native species.” Source: Ponderosa Pine Fire Ecology http://cpluhna.nau.edu/Biota/ponderosafire.htm
  • 23. Rare Firmicutes Bloom in Colon Disappearing After Antibiotic/Immunosuppressant Therapy Firmicutes Families Therapy Parvimonas spp. LS Time 1 Healthy Average LS Time 2
  • 24. Lessons From Ecological Dynamics III: From Equilibrium to Chaos In addition to chaos, other forms of complex dynamics, such as regular oscillations & quasiperiodic oscillations, are preeminent features of many biological systems. - From “Biological Chaos and Complex Dynamics” David A. Vasseur Oxford Bibliographies Online
  • 25. Chaos: Large Fast Changes From Small Initial Conditions: Dramatic Bloom of Enterobacteriaceae bacterium 9_2_54FAA This Microbe is a Proteobacteria Targeted by the NIH HMP 21,000x LS5LS6 In Only Two Months 1,000x
  • 26. Fine Time Resolution Sampling Revealed Regular Oscillations of the Innate and Adaptive Immune System LS Data from Yourfuturehealth.com Lysozyme & SIgA From Stool Tests Innate Immune System Normal Therapy: 1 Month Antibiotics +2 Month Prednisone Adaptive Immune System Normal Time Points of Metagenomic Sequencing of LS Stool Samples
  • 27. Time Series Reveals Autoimmune Dynamics of Gut Microbiome by Phyla Therapy Six Metagenomic Time Samples Over 16 Months
  • 28. Next Step: Time Series of Metagenomic Gut Microbiomes and Immune Variables in an N=100 Clinic Trial Goal: Understand the Dynamics of The Coupled Human Immune-Microbiome System
  • 29. From Quantified Self to National-Scale Biomedical Research Projects My Anonymized Human Genome is Available for Download The Quantified Human Initiative is an effort to combine our natural curiosity about self with new research paradigms. Rich datasets of two individuals, Drs. Smarr and Snyder, serve as 21st century personal data prototypes. www.delsaglobal.org www.personalgenomes.org
  • 30. We Will See This Techniques Become Widespread Over the Next Ten Years All of These Technologies Are Getting Exponentially Cheaper and Faster!
  • 31. Thanks to Our Great Team! UCSD Metagenomics Team Weizhong Li Sitao Wu Calit2@UCSD Future Patient Team Jerry Sheehan Tom DeFanti Kevin Patrick Jurgen Schulze Andrew Prudhomme Philip Weber Fred Raab Joe Keefe Ernesto Ramirez JCVI Team Karen Nelson Shibu Yooseph Manolito Torralba SDSC Team Michael Norman Mahidhar Tatineni Robert Sinkovits UCSD Health Sciences Team William J. Sandborn Elisabeth Evans David Brenner