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Keynote Presentation Cavendish Global Health Impact Forum

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Presentation on theme: "Keynote Presentation Cavendish Global Health Impact Forum"— Presentation transcript:

1 “The Human Microbiome, Supercomputers, and the Advancement of Medicine”
Keynote Presentation Cavendish Global Health Impact Forum San Diego, CA June 22, 2016 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

2 It’s a microbial world…
NASA: Hubble Deep Field It’s a microbial world… …there are 100 million times as many bacteria on Earth as stars in the universe. Microbiology is the ultimate Big Data science!

3 When the Earth’s Atmosphere Had No Oxygen Mineral Deposits Were Produced by Microbes
James St. John, Wikimedia Commons

4 Microbes Transformed Planet Earth to a Home For Multicellular Life
Cyanobacteria’s Waste Product was Oxygen Photo by Josef Reischig via Wikipedia

5 Most of Evolutionary Time Was in the Microbial World
You Are Here Tree of Life Derived from 16S rRNA Sequences Source: Carl Woese, et al

6 Supercomputer and Repository
Globally Connected Microbiome Genome Supercomputer and Repository $24.5M Grant in 2005 Larry Smarr, PI

7 Your Microbiome is Your “Near-Body” Environment and its Cells
Your Body Has 10 Times As Many Microbe Cells As DNA-Bearing Human Cells Your Microbiome is Your “Near-Body” Environment and its Cells Contain 300x as Many DNA Genes As Your Human DNA-Bearing Cells Inclusion of the “Dark Matter” of the Body Will Radically Alter Medicine

8 However, Red Blood Cells and Platelets Have No Nuclear DNA.
New Estimates In 2016 Estimate a Human Body Contains ~30 Trillion Human Cells and ~40 Trillion Microbes However, Red Blood Cells and Platelets Have No Nuclear DNA. Therefore, Ratio of DNA-Bearing Cells for Human vs. Microbiome is Still >10:1 DNA-Bearing Cells

9 But All These Animals Are in One SubPhylum Vertebrata
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

10 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

11 Treating the Human Superorganism: Your Body is an Ecology!
Nature Reviews Microbiology v.9, p. 279 (2011)

12 We Must Move From Combating Single Microbe Diseases to Developing the Human/Microbiome System Approach to Public Health 2014 Bach (2002) N Engl J Med, Vol. 347, For Public Health It is Still About Microbes, But from Single Species to Entire Ecologies

13 [Amerindians in Venezuela/Columbia]
The United States Population’s Human Gut Microbiome Has Diverged a Great Deal from Hunter-Gatherers [Amerindians in Venezuela/Columbia] [Africa] Missing Microbes Human Microbiome Project “The microbiome of uncontacted Amerindians,” J. C. Clemente, et al. Science Advances 1, e (2015).

14 My Quarterly Blood Draw
I Decided to Track My Internal Biomarkers To Understand My Body’s Dynamics My Quarterly Blood Draw Calit2 64 Megapixel VROOM

15 Episodic Peaks in Inflammation Followed by Spontaneous Drops
Only One of My Blood Measurements Was Far Out of Range--Indicating Chronic Inflammation 27x Upper Limit Episodic Peaks in Inflammation Followed by Spontaneous Drops Normal Range <1 mg/L Complex Reactive Protein (CRP) is a Blood Biomarker for Detecting Presence of Inflammation

16 Active Inflammatory Bowel Disease
Adding Stool Tests Revealed Oscillatory Behavior in an Immune Variable Which is Antibacterial Typical Lactoferrin Value for Active Inflammatory Bowel Disease (IBD) 124x Upper Limit for Healthy Normal Range <7.3 µg/mL Lactoferrin is a Protein Shed from Neutrophils - An Antibacterial that Sequesters Iron

17 Our Team Used 25 CPU-years to Compute Comparative Gut Microbiomes
To Map Out the Dynamics of Autoimmune Microbiome Ecology Couples Next Generation Genome Sequencers to Big Data Supercomputers Source: Weizhong Li, UCSD Illumina HiSeq 2000 at JCVI Our Team Used 25 CPU-years to Compute Comparative Gut Microbiomes Starting From 2.7 Trillion DNA Bases of My Samples and Healthy and IBD Controls SDSC Gordon Data Supercomputer

18 We Gathered Raw Illumina Reads on 275 Humans and Generated a Time Series of My Gut Microbiome
Each Sample Has Million Illumina Short Reads (100 bases) “Healthy” Individuals Inflammatory Bowel Disease (IBD) Patients 250 Subjects 1 Point in Time 2 Ulcerative Colitis Patients, 6 Points in Time Larry Smarr (Colonic Crohn’s) 7 Points in Time 5 Ileal Crohn’s Patients, 3 Points in Time Total of 27 Billion Reads Or 2.7 Trillion Bases Source: Jerry Sheehan, Calit2 Weizhong Li, Sitao Wu, CRBS, UCSD

19 Results Include Relative Abundance of Hundreds of Microbial Species
Average Over 250 Healthy People From NIH Human Microbiome Project Note Log Scale Clostridium difficile

20 We Found Major State Shifts in Microbial Ecology Phyla Between Healthy and Three Forms of IBD
Average HE Most Common Microbial Phyla Average Ileal Crohn’s Disease Average Ulcerative Colitis Average LS Colonic Crohn’s Disease

21 Source: Ponderosa Pine Fire Ecology
Lessons From Ecological Dynamics I: 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

22 Invasive Species Take Over Gut Microbiome in Disease State
152x 765x 148x 20 Most Abundant Species Relative Abundance In Gut Microbiome 849x 483x 220x 201x 169x 522x Source: Sequencing JCVI; Analysis Weizhong Li, UCSD LS December 28, 2011 Stool Sample

23 Lessons from Ecological Dynamics II: 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, (2012)

24 Blue Balls on Diagram to the Right Red Balls on Diagram to the Right
My Gut Microbiome Ecology Shifted After Drug Therapy Between Two Time-Stable Equilibriums Correlated to Physical Symptoms Frequent IBD Symptoms Weight Loss 7/1/12 to 12/1/14 Blue Balls on Diagram to the Right Weekly Weight Few IBD Symptoms Weight Gain 1/1/14 to 8/1/16 Red Balls on Diagram to the Right 12/1/13 to 1/1/14 12/1/13-1/1/14 Lialda & Uceris Principal Coordinate Analysis of Microbiome Ecology PCoA by Justine Debelius and Jose Navas, Knight Lab, UCSD Weight Data from Larry Smarr, Calit2, UCSD

25 Each Microbe Contains a Few Thousand Genes on Its DNA
E. Coli Contains ~5000 Genes on its Circular Chromosome, Which is 1000x the Length of the Cell! Several Million Genes Can Occur in the Human Gut Microbiome

26 In a “Healthy” Gut Microbiome: Large Taxonomy Variation, Low Protein Family Variation
Over 200 People Source: Nature, 486, (2012)

27 We Discovered That Many Protein Families Are Very Over or Under-Abundant in the Disease State
Note: Orders of Magnitude Increase or Decrease in Protein Families Between Health and Disease Next Step: Which Proteins (Functions) are Altered? Source: Bryn Taylor, Justine Debelius, Rob Knight, Mehrdad Yazdani, Larry Smarr, UCSD; Weizhong Li, JCVI

28 To Expand IBD Project the Knight/Smarr Labs Were Awarded ~ 1 Million Core-Hours on SDSC’s Comet Supercomputer 8x Compute Resources Over Prior Study Smarr Gut Microbiome Time Series From 7 Samples Over 1.5 Years To 70 Samples Over 4 Years IBD Patients: From 5 Crohn’s Disease and 2 Ulcerative Colitis Patients to ~100 Patients 50 Carefully Phenotyped Patients Drawn from Sandborn BioBank 43 Metagenomes from the RISK Cohort of Newly Diagnosed IBD patients New Software Suite from Knight Lab Re-annotation of Reference Genomes, Functional / Taxonomic Variations Novel Compute-Intensive Assembly Algorithms from Pavel Pevzner

29 Autoimmune Disease Overlap In Human Genome SNP Predisposition
Gut Lees, et al. 60: (2011)

30 From War to Gardening: New Therapeutical Tools for Managing the Microbiome
“I would like to lose the language of warfare,” said Julie Segre, a senior investigator at the National Human Genome Research Institute. ”It does a disservice to all the bacteria that have co-evolved with us and are maintaining the health of our bodies.”

31 Fecal Microbiome Transfer Is a Rapidly Growing New Treatment for IBD
Dr. Bill Sandborn, Chief UCSD GI Dr. Brigid Boland, UCSD GI

32 Massive Research is Underway to Discover A Wide Range of New Techniques for Manipulating Your Microbiome

33 UCSD is Becoming a National Leader in the Human Microbiome

34 Building a UC San Diego High Performance Cyberinfrastructure to Support Distributed Integrative Omics FIONA 12 Cores/GPU 128 GB RAM 3.5 TB SSD 48TB Disk 10Gbps NIC Knight Lab 10Gbps Gordon Data Oasis 7.5PB, 200GB/s Knight 1024 Cluster In SDSC Co-Lo CHERuB 100Gbps Emperor & Other Vis Tools 64Mpixel Data Analysis Wall 120Gbps 1.3Tbps PRP/ 40Gbps

35 UCSD Microbial Sciences Initiative Center for Microbiome Innovation
Chancellor Khosla Launched the UC San Diego Microbiome and Microbial Sciences Initiative October 29, 2015 UCSD Microbial Sciences Initiative Center for Microbiome Innovation Seminars Faculty Hiring Education Instrument Cores Seed Grants Fellowships Source: Rob Knight, UCSD

36 President Obama Announces National Microbiome Initiative May 13, 2016

37 Thanks to Our Great Team!
Future Patient Team Jerry Sheehan Tom DeFanti Joe Keefe John Graham Kevin Patrick Mehrdad Yazdani Jurgen Schulze Andrew Prudhomme Philip Weber Fred Raab Ernesto Ramirez JCVI Team Karen Nelson Shibu Yooseph Manolito Torralba Ayasdi Devi Ramanan Pek Lum UCSD Metagenomics Team Weizhong Li Sitao Wu SDSC Team Michael Norman Mahidhar Tatineni Robert Sinkovits Ilkay Altintas Dell/R Systems Brian Kucic John Thompson Thomas Hill UCSD Health Sciences Team David Brenner Rob Knight Lab Justine Debelius Jose Navas Bryn Taylor Gail Ackermann Greg Humphrey William J. Sandborn Lab Elisabeth Evans John Chang Brigid Boland


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