The Oral Microbiome Meets Cell Biology and Periodontal Disease
Niki Moutsopoulos, DDS, PhD NIDCR/NIH We are “made up” of bacteria
•>10x more bacteria than human cells Microbial • Colonization begins at birth Cells Human cells • Adult-like complexity is attained by 1 year of age
If humans are thought of as a composite of microbial and human cells, and the human genetic landscape as an aggregate of the genes in the human genome and microbiome, creating a “super-organism” The oral cavity is a major ecological niche in the human microbiome
Human Microbial Niches Blood/Eye <1%
Nasal Nasal 14% Oral 26 % Oral
Skin 21% Gastrointestinal
Skin
Urogenital GI tract 29% Urogenital 9 %
Gastrointestinal
Urogenital Oral
PC2 (4.4%) Skin
Nasal
PC1 (13%)
The Human Microbiome Project Consortium* Unique ecological niches within the oral cavity
Abundant phyla
Firmicutes Actinobacteria Bacteroidetes Proteobacteria Fusobacteria
Anterior Buccal Supra- Tongue Stool Nares Mucosa gingival Dorsum Plaque
Abundant species Corynebacterium accolens Corynebacterium kroppenstedtii Prevotella copri Lactobacillus jensenii Prevotella amnii Lactobacillus gasseri Lactobacillus iners Streptococcus mitis Propionibacterium acnes Lactobacillus crispatus
The Human Microbiome Project Consortium* Role of Microbiome in Health
• Prevent invasion of pathogens
• Shape the immune response of the host
• Provide nutrients for the host
What is the role of the oral microbiome in human health and disease ?
We know: • Distinct and diverse microbial communities in health
• Shifts in microbial composition with disease
We don’t know: • What factors influence the development of the oral microbiome?
• How do shifts in microbiome occur with disease?
• How does the oral microbiome participate in shaping oral health/disease ? Factors that affect the Human Microbiome
Lifestyle Host genotype
Core Human Medication Immune system Microbiome
Environment Health/Disease
Disease
Host
?
Disease Periodontitis is one of the most common human diseases
Dysbiotic Microbial Community
Severe Tissue inflammation
Resorbed bone
Adapted from Hajishengallis, Nature Reviews in Immunology, 2015
CDC report, 2012 Eke et al., J Perio 2012 Periodontitis; Loss of Tooth Supporting Structures
Health Disease Radiographic evidence
Mild Severe Mild Moderate Severe Periodontitis; a microbiome triggered inflammatory disease
Periodontal Biofilm Excessive Inflammation Bone Resorption
Osteoclast Dysbiotic microbiome in Periodontitis
Abusleme, 2012 ISME Dysbiotic microbiome in Periodontitis
Microbial Clusters of Periodontitis Global examination of Periodontal Microbiome
Socransky and Hafajee
• Increased Bacterial Burden • Increased Species detected/Richness/Diversity • Overrepresentation of Periodontitis-Associated Microbes
Periodontal microbiome- trigger for systemic disease ?
Atheromatic plaques • Periodontal microbes in atheromatic plaques
Placenta/Cord Blood
Systemic Translocation • Placental Microbiome ≈ Oral Microbiome Periodontal • Preterm birth > antibodies to periodontal microbes Biofilm RA Joint
• Periodontal microbes in synovia fluid • High titers of antibodies to Pg in RA • Pg- linked to ACP
Swallowing GI track • Provotella Copri
• Fusobacterium Nucleatum- Colon Cancer
Adapted from Hajishengallis, Nature Reviews in Immunology, 2015 Microbiome in Periodontitis; trigger or consequence
We know that the microbiome is a disease trigger: - Standard of care: Mechanical removal of biofilm to arrest disease - Effect of antibiotics on periodontitis
We don’t know: - Is it the initial trigger? Or does it develop in a favorable environment ? - How is one susceptible to an exaggerated response to microbial triggers? - Is a particular host susceptible to colonization with an altered microbiome?
Microbiome ?
Host
How does the microbiome become dysbiotic in periodontitis?
Lifestyle Host genotype ?
Core Human Medication Health/Disease Microbiome
Environment Immune system Monogenic defects; A window to human immunity
Moutsopoulos et al., JDR 2015
Degranulation
NETs c
Phagocytosis
Neutrophil Control of Infection of Control Neutrophil
Leukocyte adhesion deficiency (LAD -I); A defect of neutrophil transmigration
Selectins • Rare autosomal recessive disease.
Integrins • Caused by mutations on CD18 in leukocytes.
• Defective neutrophil transmigration.
• Clinical characteristics; - Frequent life-threatening infections Rolling Capture Adhesion Transmigration - Skin infections - Periodontitis - Recurrent Oral Ulcers - Colitis (later in life) 13 year old female with LAD Microbial Colonization/Burden in LAD-I patients
Gram stain/Bacterial Detection H&E stain/Histology
10x
63x 10x 2x
Moutsopoulos et al. 2014, Sci. Transl. Med The LAD oral microbiome is distinct
PC2 (17.5%)
Bacterial Burden Species Detected
Moutsopoulos PLOS Pathogens, 2015 Health LAD Microbiome contribution in triggering immunopathology
Gram Stain LPS Stain
Moutsopoulos PLOS Pathogens, 2015 Immunostimulatory potential of LAD- microbiome
APC • Increased inflammatory response with LAD microbiome
• IL-23/IL17 signature
Moutsopoulos PLOS Pathogens, 2015 IL-17 dominated signature in LAD periodontitis
Perio perio LAD Gingivitis Severe
Signature of a heightened IL23/IL17 response
IL-17 staining
Moutsopoulos et al. 2014, Sci. Transl. Med IL-17 in barrier immunity and inflammation
IL-17 RANKL Epithelial Surveillance- Barrier Integrity MΦ Activated Osteoclast IL-17
IL1-β IL-6 Neutrophil Recruitment/ TNF-α Granulopoiesis
Fibroblasts
Bone Matrix Metalloproteinases Destruction (MMPs)
Our Understanding of LAD-periodontitis
Host Susceptibility
Dysbiotic Microbiome Destructive Inflammation ?
? How should we treat ? periodontitis? Can we target/prevent the formation of dysbiotic microbial communities?
Health- associated Disease- associated Microbial communities Microbial communities • Key microbes that facilitate transition to disease? • Who is there ? • Key microbes in dysbiosis • How do members interact? • What is their role microbial • Which interactions are key ? community formation? • Which microbes interact in vivo with the host?
What more can we learn about periodontal biofilm formation, microbial interactions and in vivo behavior to educate our therapeutic interventions? Acknowledgments
Moutsopoulos Lab NIAID CCR/Heidi Kong Loreto Abusleme LCID Gloria Calderon Holland Lab/Clinic Nicolas Dutzan Steve Holland Hajishengallis Lab Teresa Wild Gulbu Uzel Toshiharu Abe
Alexandra Freeman George Hajishengallis OP-1 Clinic Staff Christa Zerbe Laurie Brenchley Mojgan Sarmadi Lionakis Lab Kelly Betts Natalia Chalmers Mihalis Lionakis UManchester Carol Bassim Tim Break Joanne Konkel Pam Gardner
Tammy Yokum LPD OP1 Staff Belkaid Lab NIDCR Leadership NIDCR collaborators Yasmine Belkaid UCONN SD: Robert Angerer Rob Palmer Nicolas Bouladoux Patricia Diaz ID: Martha Somerman Thomas Bugge
Ilias Alevizos
The oral microbiome: we know who’s there, but what are they doing?
R. J. Palmer Jr., Ph.D. NIDCR/NIH Antonie van Leeuwenhoeck 1632 - 1723
Selenomonas
Treponema
Leptotrichia
"a little white matter, which is as thick as if 'twere batter." The Great Plate-count Anomaly (1970s) seawater
allow bacterial colonies to develop
petri dish = bacteria per unit volume seawater stain nucleic acid (see everything)
examine in microscope
filter disc = bacteria per unit volume # bacteria counted in microscope is >> # of colonies seen on plates ca. 1% of bacteria had been cultivated CARL WOESE 1929 – 2012
MacArthur Fellow Crafoord prize Leeuwenhoek medal US Nat’l Academy Sci Royal Society conserved variable
ribosome is a “molecular clock” 1) universal 2) conserved and variable regions 3) small subunit (16S, 18S) ideal size for sequencing
THREE ^ Walsh and Dooli le (2005) Curr Biol 15:R237-240
diplomonads, parabasalids, trypanosoma ds radiolaria, formanifera animals fungi dinoflagellates, diatoms Sample
Microbiome The Great Plate-count Anomaly is solved by RNA-based taxonomy “Unculture-able” bacteria can be detected and classified, but what does this mean to bacterial taxonomy? valid bacteriological species pure culture physiology sequence data molecular species defined by sequence data SLOTU (Species Level Operational Taxonomic Unit) OTU taxon
all valid bacteriological species are molecular species but NOT vice versa – cultivated organism required The microbiome of healthy skin is well described by cultivation.
182 OTUs
85% are cultivated
15% are yet to be cultured
Gao et al. (2007) The microbiome of the healthy gut is not well described by cultivation.
395 OTUs + 1 archeal OTU 80% yet-to-be cultured
stool is not mucosa
Eckburg et al. (2005) Tooth surface 52 OTUs 44% yet-to-be cultured Firmicutes - Bacilli Subgingival plaque 347 OTUs 52% yet-to-be cultured Firmicutes - other Entire oral cavity ca. 700 OTUs ca. 60% yet-to-be cultured
Actinobacteria Synergistes Spirochaetes Fusobacteria
Proteobacteria TM7 Bacteroidetes
subgingival tooth plaque Aas et al. (2005) Paster et al. (2006) Flora of diseased periodontal pockets differs from that of healthy pockets
29 periodontally healthy subjects
29 subjects with chronic periodontitis shallow pockets (“healthy” sites) deep pockets (“diseased” sites)
direct sequencing of 16s PCR amplicons Proportions of species in diseased sites differ from those in healthy sites
Griffen et al. 2012 Individuals are ecosystems
Griffen et al. 2012 Coaggregation: a driver of spatiotemporal community assembly?
KolenbranderKolenbrander et al.,et al. 2002 2002
Coaggregation is an in vitro assay of cell-cell recognition.
add sugar 1 2 1+2 or protease How can one assess the relevance of coaggregation to biofilms in vivo ?
Microscopy provides spatio–temporal data on developing biofilms. Cell-cell recogni on in vivo
S. oralis serotype 1 RPS A. naeslundii T2 fimbriae
S. oralis serotype 1 RPS S. oralis serotype 1 RPS S. gordonii S. gordonii other other
an -RPS
an -Sg (whole cell)
an -fimA
tooth surface ALL BACTERIA STREPTOCOCCAL 4 hrs RECEPTOR POLYSACCHARIDE ADHESIN-BEARING STREPTOCOCCUS
ALL BACTERIA STREPTOCOCCAL 8 hrs RECEPTOR POLYSACCHARIDE ADHESIN OF ACTINOMYCES
Nyvad 1987 Palmer 2003 ALL BACTERIA STREPTOCOCCAL RECEPTOR POLYSACCHARIDE ACTINOMYCES
12 hrs
STREPTOCOCCAL RECEPTOR POLYSACCHARIDE ACTINOMYCES ADHESIN
Nyvad 1987 Palmer 2003 Summary
Classical bacteriology has taught us very much about the microflora of easily accessible human body sites.
Molecular taxonomy has increased that knowledge and provided a way to rapidly obtain complete community descriptions – individuals are ecosystems.
The microflora of diseased sites differs from that of healthy sites primarily in proportions of various OTUs – the community is the pathogen.
Oral biofilms are spatially differentiated multispecies communities from the earliest stages of development.
Cell-cell recognition (coaggregation) plays a role in community assembly in vivo.
It sure would be nice to analyze communities using more than 3 fluorophores...... Acknowledgements Paul Kolenbrander (NIDCR – retired) John Cisar (NIDCR – retired)
Antonie van Leeuwenhoek Demys fying Medicine 29 March 2016 The Human Microbiome Project ca. 1690
Antony van Leeuwenhoek
Three important points
1. The first direct observation of bacteria was of those from within the human mouth.
2. No association between microbes and disease
"...[T]here s cketh or groweth between some of my front [teeth] 3. This first observation revealed and my grinders...a li le white ma er, which is as thick as if human-associated microbial 'twere ba er. On examining this...I most always saw, with great wonder, that in the said ma er there were many very li le living communities to be complex animalcules, very pre ly a-moving”
Dobell, C. Antony Van Leeuwenhoek and His “Little Animalcules.” London. Constable & Co. 1932. Print. The Human Microbiome Project ca. 2016
Human Microbiome
Human Genome
100x the human genome The Human Microbiome Project 2013
Network Inference
Co-occurrence or co- exclusion observa ons mined to iden ty sta s cally significant rela onships.
Taxa cluster based on body site
Is this a biologically relevant spa al scales?
Faust, et al. 2012. PLoS Comput. Biol. 8:e1002606 Spa al distribu on of microbes: relevant scales
Gut microbiota Skin microbiota
Mowat and Agace. 2014. Nat. Rev. Immunol. 14:667-685. Grice and Segre. 2011. Nat. Rev. Microbiol. 9:244-253 A hypothesis for the structure of dental plaque biofilms
Jabra-Rizk, et al. 1999 J Clin Microbiol Kolenbrander, et al. 2010 Nat Rev Microbiol Microbial Fluorescence in situ Hybridiza on
Probe
Sample
Fixation Target (ribosomal RNA)
Fluorescence Fixed cells are microscopy permeabilized Ribosome
Fluorescently labelled oligonucleotides (probes) Hybridization Quantifcation
Washing
Hybridized cells Amann, R. & B. Fuchs. 2008 Nat. Rev. Microbiol. 6:339-348 Nature Reviews | Microbiology Spa al distribu on of microbes: relevant scales
Gut microbiota Skin microbiota
Mowat and Agace. 2014. Nat. Rev. Immunol. 14:667-685. Grice and Segre. 2011. Nat. Rev. Microbiol. 9:244-253 Spa al distribu on of microbes: relevant scales
Gut microbiota Skin microbiota
fungi bacteria
Hair follicle
Propidium iodide (Eukaryo c DNA) h p://irp.nih.gov/our-research/research-in-ac on/ Propidium iodide (Bacterial DNA) the-microbiome-when-good-bugs-go-bad Calcafluor white (fungal cell wall) Unknown matrix material Fluorescence Imaging: High specificity; Low mul plicity
FISH on two mixtures of E. coli labeled with two different fluorophores
red filter green filter red filter
1
1 0.9
0.9 0.8
0.8 0.7
0.7 0.6 AF-555 0.6 Bodipy-Fl 0.5 RhodamineRed-X 0.5 Rhodamine Red-X 0.4 0.4 0.3 0.3 0.2 0.2 0.1 0.1 0 0 475 525 575 625 675 725 475 525 575 625 675 725 Wavelength (nm) Wavelength (nm) Emission Spectra Emission Spectra Sequencing vs. Imaging
Sequencing Assay Imaging Assay
Breadth High Low
Independence of prior knowledge High Low
Dynamic Range / Detec on Limit Low High
Ability to provide spa al info. Low High Combinatorial Labeling
The power of combina ons Each bacterium is labeled with exactly 2 fluors
Red fluorophore Green fluorophore Blue fluorophore Ribosome Microbe High mag. detail
Field of labeled microbes
CLASI-FISH Combinatorial Labeling and Spectral Imaging- With 8 fluorophores, there exist 28 Fluorescence in situ unique binary combina ons Hybridiza on Linear Unmixing
observed pixel spectrum known fluorophore spectra
1
0.8
0.6
0.4 Find Best Fit
0.2 Intensity (A.U.) (A.U.) Intensity 0 498 548 598 648 698 375 425 475 525 575 625 675 725 775 Wavelength (nm) Wavelength (nm)
! % ! % ! % y1 ( + x1 n1 # # m11 mp1 # # # # # y # * - # x # # n # " 2 & = * -⋅" 2 &+" 2 & # # * - # # # # m1q mpq # y # )* ,- # x # # n # $ q ' $ p ' $ q '
Observed pixel Known fluorophore Abundance of each Noise spectrum spectra fluorophore at that pixel
This allows fluorophores with highly overlapping emission spectra to be dis nguished—even if they are present in the same pixel in the image. Imaging proof of principle with E. coli Establishing Biological Proof of Principle MIxture of cells of 15 laboratory grown oral taxa Structural Analysis of a Natural Community: Human Dental Plaque
Image of a field of view of semi-dispersed human dental plaque
SelenomonasAlexa fluor 488CampylobaRhodaminecter Gemella Red X FusobaAlexacter iumfluor 514 PorphyromonasAlexa fuorR othia594 PasteuAlexarella cfluoreae 555 CapnocytophagaAlexa fuorP r647evotella Neisseriaceae Streptococcus Veillonella Treponema Actinomyces Leptotrichia unknown Structural Analysis of a Natural Community: Human Dental Plaque Raw spectral Taxon-assigned Raw spectral Taxon-assigned image merge segmented image image merge segmented image
Sele Camp GemeSele Camp Geme Fuso Porp RothFuso Porp Roth Past Capn PrePvast Capn Prev Rhodamine Red XRhodamineNeis RedStr Xep VeilNeis Strep Veil Trep Acti LepTtrep Acti Lept unkn unkn Structural Analysis of a Natural Community: Human Dental Plaque
Observed image of plaque Model images of randomly placed cells
Selenomonas Campylobacter Gemella Fusobacterium Porphyromonas Rothia Pasteurellaceae Capnocytophaga Prevotella Neisseriaceae Streptococcus Veillonella Treponema Actinomyces Leptotrichia unknown Structural Analysis of a Natural Community: Human Dental Plaque
Campylobacter Fusobacterium Gemella
Capnocytophaga Prevotella
Actinomyces
Veillonella Porphyromonas Neisseriaceae Pasteurellaceae
Rothia Streptococcus Biogeography of the human microbiome at the micron scale
Mark Welch, et al. 2015. PNAS Hedgehog structure in dental plaque
Mark Welch, et al. 2015. PNAS Corncob structures at the border of hedgehog structures
Mark Welch, et al. 2015. PNAS Model hypothesis of hedgehog structure
O2,$saliva,$sugars$
CO2,$lactate,$ acetate,$H2O2$
anoxic$ tooth$ v$
base$ annulus$ perimeter$
Crevicular$fluid$
Corynebacterium . ....Porphyromonas . ...Fusobacterium . .other$ Streptococcus ...... Neisseriaceae . ...Leptotrichia. Haemophilus/Aggr...... Capnocytophaga . ...Ac=nomyces. Mark Welch, et al. 2015. PNAS Hedgehog structures as an ecosystem
Gene cally dis nct organisms occupying niches
Trophic interac ons
Environmental influence
Role of cell-to-cell contact
Mark Welch, et al. 2015. PNAS Framework for oral microbiome func onal study Meta Exploratory Surveys transcriptomics Laboratory Experiments
Microbial In vitro biofioms metagenomics
Systems Duran-Pinedo, et al. 2015. ISMEJ Imaging Metabolomics
Red fluorophore Green fluorophore Kolenbrander, et al. 2010. Nat. Rev. Microbiol Blue fluorophore Ribosome Microbe High mag. detail
Field of labeled microbes
da Silva, Dorrestein and Quinn. 2015 PNAS
Computa onal modeling
Testable hypotheses Improved regarding ecosystem models of structure and func on microbial co- Steenackers, et al. 2016. FEMS Microbiol Rev. occurrence
Ki elmann, et al. 2013. PLoS One 8:e47879 Acknowledgements
• NICHD – Jennifer Lippinco Schwartz Lab • NHGRI – Julie Segre Lab • Forsyth Ins tute – Gary Borisy Lab • Marine Biological Lab – Rudolf Oldenbourg – Jessica Mark Welch