ex vivo assay by supporting growth of commensal microbiota at … · 2019-10-03 · click to edit...

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Click to edit Master title style Novel Glycans Reduce Carbapenem-resistant Enterobacteriaceae (CRE) and Vancomycin-resistant Enterococcus (VRE) Colonization in an Ex Vivo Assay by Supporting Growth of Commensal Microbiota at the Expense of Multidrug-Resistant (MDR) Organisms Gabby LeBlanc, BS 1 , Brandon Brooks, PhD 1 , Madeline Hartman, BS 1 , Max Hecht, BS 1 , Hoa Luong, BA 1 , Zheng Pan, PhD 1 , Stephen Sofen, PhD 1 , Jonathan Lawrence, PhD 1 , Kelsey Miller, MS 1 , Brian Meehan, PhD 1 , Michael Mahowald, MD, PhD 1 , Tanya Yatsunenko, PhD 1 1 Kaleido Biosciences, Inc, Lexington, MA TABLE 1. INFORMATION ON PATIENTS IN ICU INTRODUCTION: SUPPORTING GROWTH OF COMMENSAL GUT MICROBIOTA REDUCES THE RISK OF INFECTIONS WITH MDR ORGANISMS Acknowledgements: Elizabeth L Hohmann/Mariam Torres Soto (Infectious Diseases Division, Massachusetts General Hospital), Jasmohan S Bajaj (VCU Medical Center and Hunter Holmes McGuire VA Medical Center-Richmond), and Raymond T Chung (Gastrointestinal Division, Massachusetts General Hospital) for providing clinical samples. ETHOS Health Communications provided editorial support. Reference: Data on file. Kaleido Biosciences Inc. Commercial: Authors have nothing to disclose. Company details: All authors are Kaleido employees and own equity. ACKNOWLEDGEMENTS AND REFERENCES Scan to download poster KB109 was selected via a high throughput screening cascade for its ability to stimulate the growth of the gut commensal microbiota at the expense of MDR pathogens KB109 reduces the relative abundance of CRE and VRE in ex vivo studies of microbiota from healthy subjects, critically ill subjects receiving broad-spectrum antibiotics, and patients with end-stage cirrhosis at risk of infection These results suggest that KB109 is a promising candidate to reduce the risk of infection due to MDR pathogens in high-risk patients and is currently being evaluated in a randomized, open-label study (NCT03944369) CONCLUSIONS We hypothesized that defined microbial community and complete microbiota in stool samples from healthy donors or patients represent relevant model systems that can be used to screen the effect of MMTs on pathogen relative abundance (further referred to as ex vivo assays). An ex vivo screening cascade identified a candidate MMT, KB109, that selectively favors the growth of commensal bacteria at the expense of MDR pathogens (Figure 3) A suite of single strain assays assessed the ability of individual pathogens to utilize the MMTs for growth in order to generate orthogonal data and further de-risk the approach RESULTS: GLYCAN MMTS MODULATE LEVEL OF SPIKED MDR PATHOGENS IN GUT MICROBIOTA FROM HEALTHY SUBJECTS FIGURE 4. PROPORTION OF ENTEROBACTERIACEAE DEPENDENT ON AN MMT FIGURE 5. MMTS MAINTAIN EFFICACY REGARDLESS OF PATHOGEN Patient ID a Principal diagnoses Concurrent antibiotics (within 7 days) Pt. 1 Sepsis, cirrhosis Vancomycin, meropenem, metronidazole Pt. 6 Oropharyngeal cancer, hyponatremia Piperacillin-tazobactam Pt. 12 Hemothorax, chronic obstructive pulmonary disease, chronic bronchitis Vancomycin, cefepime, metronidazole Pt. 2 Gastrointestinal bleeding, idiopathic pulmonary fibrosis, cirrhosis, congestive heart failure Vancomycin, cefepime, piperacillin-tazobactam Pt. 7 Pericardial effusion, metastatic adenocarcinoma Vancomycin Pt. 13 Acute respiratory distress syndrome, trauma Vancomycin, cefepime Pt. 11 MRSA endocarditis Vancomycin Pt. 4 Septic shock, congestive heart failure Vancomycin, cefepime, clindamycin Pt. 10 Hypoxemic respiratory failure, morbid obesity Vancomycin, cefepime Pt. 3 Altered mental status Vancomycin Pt. 8 Subarachnoid hemorrhage, pneumonia Vancomycin, cefepime Pt. 5 Acute pancreatitis, sarcoidosis, cirrhosis Ceftriaxone Pt. 9 Acute respiratory failure, interstitial lung disease, type 2 diabetes Vancomycin, cefepime, trimethoprim-sulfamethoxazole RESULTS: KB109 REDUCES LEVELS OF MDR PATHOGENS IN STOOL SAMPLES OBTAINED FROM ICU PATIENTS RECEIVING BROAD-SPECTRUM ANTIBIOTICS RESULTS: KB109 DOES NOT SUPPORT THE GROWTH OF BACTERIAL AND FUNGAL PATHOGENS RESULTS: KB109 REDUCED LEVELS OF MDR PATHOGENS IN STOOL SAMPLES OBTAINED FROM PATIENTS WITH END-STAGE LIVER DISEASE WHO ARE AT RISK OF INFECTION KB109 reduced spiked CRE (Figure 8a) and VRE (Figure 8b) in samples obtained from 44 patients suffering from end-stage liver disease (ESLD) who are at risk of infection (in contrast to the commercially available glycan FOS) VITORA: CLINICAL STUDY b VITORA is an ongoing, randomized, open-label clinical study evaluating KB109 in subjects whose gastrointestinal tracts are colonized with MDR organisms, with the objective of evaluating the safety and tolerability of KB109, its effects on the structure and function of the gut microbiota, and rate of pathogen decolonization (NCT03944369) b Study is being conducted under regulations supporting research with food. We hypothesized that testing MMTs in samples from patients in the ICU who were receiving broad-spectrum antibiotics would be the most rigorous test for MMT activity, because these were expected to represent the most severely damaged patient microbiota available (with fewer commensals) Thirteen fecal samples from patients in the ICU receiving broad-spectrum antibiotic therapy (Table 1) were spiked with CRE E. coli and incubated with 55 MMTs in the ex vivo assay FIGURE 7b. PATHOGEN REDUCTION RELATIVE TO CONTROL Each row represents the fecal microbiota of a patient or healthy subject; columns represent genus-level bacterial taxa with proportions of each taxa shown in each cell. The microbiota of ICU patients is extremely depleted in taxa found in healthy subjects (Figure 7a) KB109 successfully reduced the relative abundance of pathogens in all microbial communities with commensal bacteria (Figure 7b) P.1 P.6 P.2 P.7 P.12 P.4 P.11 P.13 P.10 P.9 P.5 P.8 P.3 Healthy These patients had no commensal bacteria in their microbiota (see Figure 6a) FIGURE 9. PROPORTION OF SPIKED CRE OR VRE IS DECREASED DUE TO GROWTH OF COMMENSAL TAXA (ORDER LEVEL, GROUPED BY PHYLUM) Potential stereo- and regiochemical possibilities of carbohydrates make them the most structurally diverse biopolymer known MMTs are structurally diverse ensembles of complex carbohydrates (glycans), enabled by Kaleido’s synthetic chemistry platform 8 possible head-tail dimers: a-1,2; a-1,3; a-1,4; a-1,6 b-1,2; b-1,3; b-1,4; b-1,6 Glycosyl acceptors Glycosyl donor Mono- Oligo- Poly- saccharide Catalyst Bond distributions Colonization is one of the strongest factors predicting infection with MDR organisms The human gut microbiota normally prevents colonization by pathogenic bacteria and helps maintain the intestinal barrier Chemotherapy and antibiotic use reduces the diversity of the commensal microbiota, resulting in a decreased ability to perform these protective functions A C A fecal community from a healthy donor was spiked with CRE K. pneumoniae to 70% initial concentration relative to the commensal microbiota, and incubated with 55 MMTs Community composition was determined at the end of the ex vivo incubation using 16S rDNA sequencing Data are shown for a subset of MMTs for clarity (Figure 4): rows are MMTs, columns are family level bacterial taxa, proportion in each sample is indicated in each cell The proportion of Enterobacteriaceae (includes spiked CRE K. pneumoniae) depends on an MMT Without an MMT, pathogens represented 66% of the community Some MMTs supported the growth of pathogens (top row), reaching 86% of the community KB109 reduced pathogens to 27% (from an initial 70% concentration) and supported growth of several families of commensal microbiota MMTs perform similarly with CRE E. coli, CRE K. pneumoniae, and VRE E. faecium, which is consistent with the proposed mechanism of action (Figure 2 and 5) B D E MRSA, methicillin-resistant Staphylococcus aureus. a Patient information presented in the same order as Figure 7. 46.9 1.1 0 27.4 0.4 5.6 18 0.6 5.1 1.7 0.1 33.4 0 11.6 47.2 0.9 6.2 0.3 0.6 51 0.1 9.4 30.6 1.8 10.4 0.3 0.4 40.2 2.2 24.1 20.3 2 25.2 0.8 0.1 33.3 4.1 13.8 20.9 1.9 7.1 0 6.9 66.2 0.2 14.1 0.2 5.3 5.3 25.3 0.4 57.9 3.5 7 0.4 0.3 27.7 0.6 0 65.5 1 4.8 0 0.3 8.7 0.4 0 86.6 0.1 3.9 0.1 0.2 14.4 5.6 0.6 72.3 0.1 5.8 0.1 1 KB109−1 No glycan MMTs 65.8 0.9 0.3 23.2 1.3 6.4 1.6 0.5 28.5 0.6 1.3 18.4 0 17.8 32.4 0.9 24.7 1.4 0.3 23.4 0.1 11 38.2 0.8 80.4 0.5 1.5 9.5 0 4.7 2.8 0.6 Bacteroidaceae Clostridiaceae Clostridiales XI Enterobacteriaceae Erysipelotrichaceae Lachnospiraceae Other Porphyromonadaceae Family level taxa 0% community 15% community 80% community KB109 reduced spiked CRE (Figure 9a) and VRE (Figure 9b) abundance in an ex vivo assay by supporting growth of commensal microbiota at the expense of MDR pathogens. Shown is the proportion of each order-level taxa grouped by phylum Complex carbohydrates are the major energy source for gut commensal bacteria, which possess a rich repertoire of carbohydrate-degrading enzymes (glycosidases), unlike most MDR organisms (Figure 1) Novel synthetic glycans (Microbiome Metabolic Therapies [MMT]™) may take advantage of this difference by efficiently and exclusively supporting the growth of commensal bacteria, thus reducing colonization and subsequent infections by MDR pathogens (Figure 2) (a) CRE KB109 FOS Log2 [compound/ water]CRE E. coli (b) VRE KB109 FOS Log2 [compound/ water]VRE E. faecium Pathogens have smaller number and encode distinct repertoire of glycosidases Bacteroides ovatus Bacteroides thetaiotaomicron Bacteroides xylanisolvens Bacteroides dorei Bacteroides fragilis Clostridium cellulovorans Parabacteroides distasonis Klebsiella oxytoca Enterobacter aerogenes Enterococcus faecium Klebsiella pneumoniae Bifidobacterium infantis Akkermansia muciniphila Enterobacter cloacae Salmonella enterica Citrobacter freundii Escherichia coli Ruminococcus sp. Bifidobacterium breve Clostridioides difficile Bifidobacterium bifidum Enterococcus faecium Citrobacter koseri Enterococcus faecalis Ruminococcus obeum Pseudomonas aeruginosa Ruminococcus bromii Proteus mirabilis Staphylococcus aureus 100 200 300 0 PC2 (12% variation explained) PC1 (42% variation explained) Commensals Pathogens Number of glycosidases FIGURE 1. COMPLEX CARBOHYDRATES AND COMMENSAL GUT BACTERIA FIGURE 2. MMTS MAY REDUCE THE LIKELIHOOD OF INFECTION WITH MDR ORGANISMS FIGURE 3. KB109 WAS SELECTED VIA AN ASSAY CASCADE OF INCREASING COMPLEXITY AND DISEASE RELEVANCE Defined community + Healthy communities ICU patient communities Single-strain assay Process scale-up and characterization KB109 Response in ≥10 of 13 fecal communities Highest microbiota diversity No growth of CRE, VRE, C. difficile and Candida strains on MMT Selection Criteria: Best reduction of MDR abundance Highest microbiota diversity 423 MMTs A B C 4 MMTs MMT scalability 55 MMTs Ex vivo testing in additional patient populations D Human study in subjects colonized with MDR organisms E FIGURE 6. BACTERIAL PATHOGENS DO NOT GROW ON KB109 FIGURE 8. REDUCTION IN CRE (a) AND VRE (b) WHEN INCUBATED WITH KB109 vs FOS The y-axis shows reduction of a pathogen relative to control (no MMT) Bacteroidetes Verrucomicrobia Proteobacteria (not Enterobacteriaceae) VRE E. faecium Enterobacteriales Actinobacteria Firmicutes a) CRE E. coli 100% 80% 60% 40% 20% 0% 100% 80% 60% 40% 20% 0% b) VRE E. faecium % of Total ReIative Abundance Mean % of Total ReIative Abundance Mean ESLD Healthy Pathogen spiked Initial ESLD community KB109 FOS Water (no glycan) KB109 FOS Water (no glycan) FIGURE 7a. COMPOSITION OF MICROBIOTA OF ICU PATIENTS IN COMPARISON TO HEALTHY SUBJECTS Pathogen colonization Likelihood of infection with MDR organisms Glycan-based MMTs selectively favor growth of commensals Likelihood of infection with MDR organisms Pathogen Commensal Genus-level bacterial taxa 3 out of 13 did not contain any detectable commensal taxa (patients 1, 6, 12) ICU Patients Taxa present in healthy subjects Microbiota of ICU patients are highly enriched in pathogens Common pathogens present in ICU patients 0% community 99% community 10% community 0.3 4.6 0.7 8 30.1 1.4 0.3 6.1 0.1 0 1 3.5 0 0 0 6.2 0.1 1.1 10.1 14.8 2.6 8.8 5.8 6.9 0 7.5 30.7 0.8 0.3 6.9 0 0 0 2.1 0.7 0 0.4 4.7 0 16.6 0 7 0.5 9.2 0 3.4 3.6 0.5 22.1 0.4 2.6 5.3 0 0 0.1 10.8 3.7 0 1.5 12.8 0.3 18.8 0.8 2.9 0.4 10.1 0 0.3 1.2 8.3 22.1 6.8 14.8 2.8 0 0 0.2 3.6 0 0 17.2 8.3 0.1 6.3 0 0.6 0.6 6.8 0.3 6.5 1.4 0 27.7 0.7 0.1 7.7 0 0 0.2 12.1 3.8 0.1 0 14.5 0.1 9.5 1.6 3.7 0.8 9.2 0 4.5 9.2 5.3 18 1 1.3 2.7 0 0 0.1 11.4 3.3 0 0 12.1 0 16.2 3.7 0.8 0.4 10 0 3 0.8 0.3 20.8 0.3 0.2 2.8 0 0 0 10.3 2.4 0 0 19.9 0.1 1.5 6.1 1.2 2.2 28.1 0 1.4 4 0.4 23.5 1 3.8 2.5 0 0 0 11.2 0.3 0 0 22.7 0.1 5 0.7 6.1 1 16.2 0 8.5 24 1.8 8.9 7.9 3.7 1.2 0 0 0 15.9 0 0 0 12.8 0 8 2.2 0.2 0 4.9 0 0.7 2.1 0 25.9 4.3 7 4 0 0 0.4 10.9 12.7 0 0 15.8 0.5 7.5 0 3 0.1 5.2 Healthy.1 Healthy.2 Healthy.3 Healthy.4 Healthy.5 Healthy.6 Healthy.7 Healthy.8 Healthy.9 Healthy.10 0 0 0 90.3 0 0.5 0 0.1 8.1 0 0 0 0 0 0 0 0.2 0.6 34 0 0 13.6 31.9 0 0 0 5.9 0 0 0 0 3.3 0 0 0 11.2 15 1.6 0 4.3 0 10 6.5 12.6 1.9 8.5 0.6 5.3 1.7 0 0 0 0.1 32 26.4 0.2 1.4 22.6 19.3 6 1 0.3 5.1 0 0 0.1 0 3.5 0 0 0 14.2 18.3 0.9 1.2 42.7 0.5 0 0 0 4.7 0 0 0 0 17 0 1.3 0 13.4 0 0 36.9 52.4 0 0 0 0 0.6 0 0 0 0 0 0 10.2 0 0 65.6 0.7 0 3.5 0 1.4 2.2 0.9 0.3 0 0 2.6 2.7 1.2 0 4.4 0 14.6 51 0 0.8 2.3 2.3 6.4 6.3 0.1 1.2 2.1 0 5.6 0.7 0 0 0 0 21.1 0.1 0 0.4 18.4 26.5 0 0 0 0 0 0 51.9 0 0 0 0 0 2.6 40.3 9 0 10.6 0 0 12.5 0 0.1 0 8.2 11.8 2.1 0 0 0 2.8 2.5 31.6 0 33.7 12.7 0 0 0 0 0 0 0 10.1 0 0 11.1 0 0 0.6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 99.8 0 0 0 0.2 0 0 0 0 0 0 0 0 0 37.2 0.1 0 1.4 0 0.3 4 0.2 0.5 1.4 0.2 6.7 6.7 0 6.8 0 23.2 11.4 Pt.6 Pt.11 Pt.1 Pt.8 Pt.7 Pt.13 Pt.10 Pt.3 Pt.4 Pt.2 Pt.5 Pt.12 Pt.9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Enterobacter Escherichia Enterococcus Streptococcus Blautia Clostridium_XIVa Lachnospiraceae Lactbacillus Methanobrevibacter Taxa <0.1% Barnesiella Parabacteroides Alistipes Parasutterella Veillonella Akkermansia Bacteroides Bifidobacterium Clostridium_XVII Dorea Faecalibacterium Gemmiger Megasphaera Roseburia Ruminococcus Ruminococcus2 Anaerostipes 0 20 40 60 0 20 40 60 Ranking of glycans in terms of reduction of CRE E.coli or CRE K.pneumoniae Ranking of glycans in terms of reduction of CRE E. coli or CRE K. pneumoniae Ranking of glycans in terms of reduction of VRE E. faecium Single-strain assays of 16 CRE strains of K. pneumoniae, E. coli or E. cloacae (Figure 6a), 18 strains of VRE E. faecium (Figure 6b), 3 strains of C. difficile (including Nap1 strains) (Figure 6c), as well as 6 Candida strains (Figure 6d), were performed in order to screen for the absence of the ability of lead glycans to support growth KB109 was identified as the superior lead compound, as it did support no or minimal growth compared to no carbon-added controls for all strains tested In addition, KB109 did not support the growth of 3 Candida strains. Representative results are shown in Figure 6d 0.0 0.2 0.4 0.6 0.8 1.0 1.2 Hour OD600 10 0 20 30 40 C. difficile Nap1 (c) Time (minutes) CRE K. pneumoniae CRE E. coli CRE E. cloacae VRE E. faecium Minimal growth media Rich growth media (b) (a) FIGURE 6d. FUNGAL PATHOGENS DO NOT GROW ON KB109 Water (no glycan) 1.0 0.5 0 20 40 60 OD600 Glucose 0 20 40 60 KB109 0 20 40 60 Hours C. albicans C. glabrata C. tropicalis KB109 Water (negative control – no added carbon) Glucose (positive control) ID Week. October 2-6 2019. Washington, DC Y-axis shows reduction of all pathogens relative to control (no added MMT) in each patient’s microbiota (x-axis)

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Page 1: Ex Vivo Assay by Supporting Growth of Commensal Microbiota at … · 2019-10-03 · Click to edit Master title style •Edit Master text styles •Second level •Third level •Fourth

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10/2/19 1

Novel Glycans Reduce Carbapenem-resistant Enterobacteriaceae (CRE) and Vancomycin-resistant Enterococcus (VRE) Colonization in an Ex Vivo Assay by Supporting Growth of Commensal Microbiota at the Expense of Multidrug-Resistant (MDR) Organisms

Gabby LeBlanc, BS1, Brandon Brooks, PhD1, Madeline Hartman, BS1, Max Hecht, BS1, Hoa Luong, BA1, Zheng Pan, PhD1, Stephen Sofen, PhD1, Jonathan Lawrence, PhD1, Kelsey Miller, MS1, Brian Meehan, PhD1, Michael Mahowald, MD, PhD1, Tanya Yatsunenko, PhD1

1Kaleido Biosciences, Inc, Lexington, MA

TABLE 1. INFORMATION ON PATIENTS IN ICU

INTRODUCTION: SUPPORTING GROWTH OF COMMENSAL GUT MICROBIOTA REDUCES THE RISK OF INFECTIONS WITH MDR ORGANISMS

Acknowledgements: Elizabeth L Hohmann/Mariam Torres Soto (Infectious Diseases Division, Massachusetts General Hospital), Jasmohan S Bajaj (VCU Medical Center and Hunter Holmes McGuire VA Medical Center-Richmond), and Raymond T Chung (Gastrointestinal Division, Massachusetts General Hospital) for providing clinical samples. ETHOS Health Communications provided editorial support. Reference: Data on file. Kaleido Biosciences Inc.Commercial: Authors have nothing to disclose.Company details: All authors are Kaleido employees and own equity.

ACKNOWLEDGEMENTS AND REFERENCES

Scan to download poster

• KB109 was selected via a high throughput screening cascade for its ability to stimulate the growth of the gut commensal microbiota at the expense of MDR pathogens

• KB109 reduces the relative abundance of CRE and VRE in ex vivo studies of microbiota from healthy subjects, critically ill subjects receiving broad-spectrum antibiotics, and patients with end-stage cirrhosis at risk of infection

• These results suggest that KB109 is a promising candidate to reduce the risk of infection due to MDR pathogens in high-risk patients and is currently being evaluated in a randomized, open-label study (NCT03944369)

CONCLUSIONS

• We hypothesized that defined microbial community and complete microbiota in stool samples from healthy donors or patients represent relevant model systems that can be used to screen the effect of MMTs on pathogen relative abundance (further referred to as ex vivo assays).

• An ex vivo screening cascade identified a candidate MMT, KB109, that selectively favors the growth of commensal bacteria at the expense of MDR pathogens (Figure 3)

• A suite of single strain assays assessed the ability of individual pathogens to utilize the MMTs for growth in order to generate orthogonal data and further de-risk the approach

RESULTS: GLYCAN MMTS MODULATE LEVEL OF SPIKED MDR PATHOGENS IN GUT MICROBIOTA FROM HEALTHY SUBJECTS

FIGURE 4. PROPORTION OF ENTEROBACTERIACEAE DEPENDENT ON AN MMT

FIGURE 5. MMTS MAINTAIN EFFICACY REGARDLESS OF PATHOGEN

Patient IDa Principal diagnoses Concurrent antibiotics (within 7 days)

Pt. 1 Sepsis, cirrhosis Vancomycin, meropenem, metronidazole

Pt. 6 Oropharyngeal cancer, hyponatremia Piperacillin-tazobactam

Pt. 12 Hemothorax, chronic obstructive pulmonary disease, chronic bronchitis Vancomycin, cefepime, metronidazole

Pt. 2 Gastrointestinal bleeding, idiopathic pulmonary fibrosis, cirrhosis, congestive heart failure Vancomycin, cefepime, piperacillin-tazobactam

Pt. 7 Pericardial effusion, metastatic adenocarcinoma Vancomycin

Pt. 13 Acute respiratory distress syndrome, trauma Vancomycin, cefepime

Pt. 11 MRSA endocarditis Vancomycin

Pt. 4 Septic shock, congestive heart failure Vancomycin, cefepime, clindamycin

Pt. 10 Hypoxemic respiratory failure, morbid obesity Vancomycin, cefepime

Pt. 3 Altered mental status Vancomycin

Pt. 8 Subarachnoid hemorrhage, pneumonia Vancomycin, cefepime

Pt. 5 Acute pancreatitis, sarcoidosis, cirrhosis Ceftriaxone

Pt. 9 Acute respiratory failure, interstitial lung disease, type 2 diabetes Vancomycin, cefepime, trimethoprim-sulfamethoxazole

RESULTS: KB109 REDUCES LEVELS OF MDR PATHOGENS IN STOOL SAMPLES OBTAINED FROM ICU PATIENTS RECEIVING BROAD-SPECTRUM ANTIBIOTICS

RESULTS: KB109 DOES NOT SUPPORT THE GROWTH OF BACTERIAL AND FUNGAL PATHOGENS

RESULTS: KB109 REDUCED LEVELS OF MDR PATHOGENS IN STOOL SAMPLES OBTAINED FROM PATIENTS WITH END-STAGE LIVER DISEASE WHO ARE AT RISK OF INFECTION

• KB109 reduced spiked CRE (Figure 8a) and VRE (Figure 8b) in samples obtained from 44 patients suffering from end-stage liver disease (ESLD) who are at risk of infection (in contrast to the commercially available glycan FOS)

VITORA: CLINICAL STUDYb

• VITORA is an ongoing, randomized, open-label clinical study evaluating KB109 in subjects whose gastrointestinal tracts are colonized with MDR organisms, with the objective of evaluating the safety and tolerability of KB109, its effects on the structure and function of the gut microbiota, and rate of pathogen decolonization (NCT03944369)

bStudy is being conducted under regulations supporting research with food.

• We hypothesized that testing MMTs in samples from patients in the ICU who were receiving broad-spectrum antibiotics would be the most rigorous test for MMT activity, because these were expected to represent the most severely damaged patient microbiota available (with fewer commensals)

• Thirteen fecal samples from patients in the ICU receiving broad-spectrum antibiotic therapy (Table 1) were spiked with CRE E. coli and incubated with 55 MMTs in the ex vivo assay

FIGURE 7b. PATHOGEN REDUCTION RELATIVE TO CONTROL

Each row represents the fecal microbiota of a patient or healthy subject; columns represent genus-level bacterial taxa with proportions of each taxa shown in each cell.

• The microbiota of ICU patients is extremely depleted in taxa found in healthy subjects (Figure 7a)

• KB109 successfully reduced the relative abundance of pathogens in all microbial communities with commensal bacteria (Figure 7b)

P.1 P.6 P.2 P.7P.12 P.4P.11P.13 P.10 P.9P.5P.8P.3 Healthy

These patients had no commensal bacteria in their microbiota (see Figure 6a)

FIGURE 9. PROPORTION OF SPIKED CRE OR VRE IS DECREASED DUE TO GROWTH OF COMMENSAL TAXA (ORDER LEVEL, GROUPED BY PHYLUM)

Potential stereo- and regiochemical possibilities of carbohydrates make them the most structurally

diverse biopolymer known

MMTs are structurally diverse ensembles of complex carbohydrates (glycans), enabled by Kaleido’s

synthetic chemistry platform

8 possible head-tail dimers:a-1,2; a-1,3; a-1,4; a-1,6b-1,2; b-1,3; b-1,4; b-1,6

Glycosyl acceptors

Glycosyl donor

Mono-Oligo-Poly-

saccharide

Catalyst

Bond distributions

• Colonization is one of the strongest factors predicting infection with MDR organisms• The human gut microbiota normally prevents colonization by pathogenic bacteria and helps maintain the intestinal

barrier• Chemotherapy and antibiotic use reduces the diversity of the commensal microbiota, resulting in a decreased ability to

perform these protective functions

A

C

• A fecal community from a healthy donor was spiked with CRE K. pneumoniae to 70% initial concentration relative to the commensal microbiota, and incubated with 55 MMTs

• Community composition was determined at the end of the ex vivo incubation using 16S rDNA sequencing

• Data are shown for a subset of MMTs for clarity (Figure 4): rows are MMTs, columns are family level bacterial taxa, proportion in each sample is indicated in each cell

• The proportion of Enterobacteriaceae (includes spiked CRE K. pneumoniae) depends on an MMT• Without an MMT, pathogens represented 66% of the

community• Some MMTs supported the growth of pathogens

(top row), reaching 86% of the community• KB109 reduced pathogens to 27% (from an initial

70% concentration) and supported growth of several families of commensal microbiota

• MMTs perform similarly with CRE E. coli, CRE K. pneumoniae, and VRE E. faecium, which is consistent with the proposed mechanism of action(Figure 2 and 5)

B D

E

MRSA, methicillin-resistant Staphylococcus aureus.aPatient information presented in the same order as Figure 7.

46.9 1.1 027.4 0.4 5.6 180.6

5.1 1.7 0.133.4 0 11.6 47.20.9

6.2 0.3 0.651 0.1 9.4 30.61.810.4 0.3 0.440.2 2.2 24.1 20.32

25.2 0.8 0.133.3 4.1 13.8 20.91.9

7.1 0 6.966.2 0.2 14.1 0.25.3

5.3 25.3 0.457.9 3.5 7 0.40.327.7 0.6 065.5 1 4.8 00.3

8.7 0.4 086.6 0.1 3.9 0.10.214.4 5.6 0.672.3 0.1 5.8 0.11

KB109−1

No glycan

MMTs

65.8 0.9 0.323.2 1.3 6.4 1.60.528.5 0.6 1.318.4 0 17.8 32.40.9

24.7 1.4 0.323.4 0.1 11 38.20.8

80.4 0.5 1.59.5 0 4.7 2.80.6

Bact

eroi

dace

ae

Clos

tridi

acea

e

Clos

tridi

ales

XI

Enterobacteriaceae

Erys

ipel

otric

hace

ae

Lach

nosp

irace

ae

Oth

er

Porp

hyro

mon

adac

eae

Family level taxa

0% community15% community80% community

• KB109 reduced spiked CRE (Figure 9a) and VRE (Figure 9b) abundance in an ex vivo assay by supporting growth of commensal microbiota at the expense of MDR pathogens. Shown is the proportion of each order-level taxa grouped by phylum

• Complex carbohydrates are the major energy source for gut commensal bacteria, which possess a rich repertoire of carbohydrate-degrading enzymes (glycosidases), unlike most MDR organisms (Figure 1)

• Novel synthetic glycans (Microbiome Metabolic Therapies [MMT]™) may take advantage of this difference by efficiently and exclusively supporting the growth of commensal bacteria, thus reducing colonization and subsequent infections by MDR pathogens (Figure 2)

(a) CRE

KB109 FOS

Log2

[com

poun

d/w

ater

]CRE

E. c

oli

(b) VRE

KB109 FOS

Log2

[com

poun

d/w

ater

]VRE

E. f

aeci

um

Pathogens have smaller number and encode distinct repertoire of glycosidases

Bacteroides ovatusBacteroides thetaiotaomicron

Bacteroides xylanisolvensBacteroides dorei

Bacteroides fragilisClostridium cellulovorans

Parabacteroides distasonisKlebsiella oxytoca

Enterobacter aerogenesEnterococcus faecium

Klebsiella pneumoniaeBifidobacterium infantis

Akkermansia muciniphilaEnterobacter cloacae

Salmonella entericaCitrobacter freundii

Escherichia coliRuminococcus sp.

Bifidobacterium breveClostridioides difficile

Bifidobacterium bifidumEnterococcus faecium

Citrobacter koseriEnterococcus faecalisRuminococcus obeum

Pseudomonas aeruginosaRuminococcus bromii

Proteus mirabilisStaphylococcus aureus

100 200 3000

PC2 (12% variation explained)

PC1

(42%

var

iatio

n ex

plai

ned)

CommensalsPathogens

Number of glycosidases

FIGURE 1. COMPLEX CARBOHYDRATES AND COMMENSAL GUT BACTERIA

FIGURE 2. MMTS MAY REDUCE THE LIKELIHOOD OF INFECTION WITH MDR ORGANISMS

FIGURE 3. KB109 WAS SELECTED VIA AN ASSAY CASCADE OF INCREASING COMPLEXITY AND DISEASE RELEVANCE

Defined community +Healthy communities

ICU patientcommunities

Single-strainassay

Process scale-up and

characterizationKB109

• Response in ≥10 of 13 fecal communities

• Highest microbiotadiversity

• No growth of CRE, VRE, C. difficile and Candidastrains on MMT

Selection Criteria:

• Best reduction ofMDR abundance

• Highest microbiotadiversity

423 MMTs

A

B

C

4 MMTs

• MMT scalability

55 MMTs

Ex vivo testing in additional patient

populations

D

Human study insubjects colonized

with MDR organisms

E

FIGURE 6. BACTERIAL PATHOGENS DO NOT GROW ON KB109

FIGURE 8. REDUCTION IN CRE (a) AND VRE (b) WHEN INCUBATED WITH KB109 vs FOS

The y-axis shows reduction of a pathogen relative to control (no MMT)

Bacteroidetes

Verrucomicrobia

Proteobacteria(not Enterobacteriaceae)

VRE E. faecium

Enterobacteriales

Actinobacteria

Firmicutes

a) CRE E. coli

100%

80%

60%

40%

20%

0%100%

80%

60%

40%

20%

0%

b) VREE. faecium

% o

f Tot

al R

eIat

ive

Abun

danc

e M

ean

% o

f Tot

al R

eIat

ive

Abun

danc

e M

ean

ESLD HealthyPathogen spiked

Initi

al E

SLD

com

mun

ity

KB10

9

FOS

Wat

er (n

o gl

ycan

)

KB10

9

FOS

Wat

er (n

o gl

ycan

)

FIGURE 7a. COMPOSITION OF MICROBIOTA OF ICU PATIENTS IN COMPARISON TO HEALTHY SUBJECTS

Pathogen colonization

↑ Likelihood of infection with MDR organisms

Glycan-based MMTs selectively favor growth of commensals

↓ Likelihood of infection with MDR organisms

Pathogen

Commensal

Genus-level bacterial taxa

3 out of 13 did not contain any detectable commensal taxa (patients 1, 6, 12) IC

U P

atie

nts

Taxa present in healthy subjects

Microbiota of ICU patients are highly enriched in pathogens

Common pathogens

present in ICU patients

0% community

99% community10% community

0.3 4.60.7 830.1 1.4 0.3 6.10.1 01 3.5 00 06.2 0.1 1.1 10.1 14.82.6 8.8

5.8 6.90 7.530.7 0.8 0.3 6.90 00 2.1 0.70 0.44.7 0 16.6 0 70.5 9.2

0 3.43.6 0.522.1 0.4 2.6 5.30 00.1 10.8 3.70 1.512.8 0.3 18.8 0.8 2.90.4 10.1

0 0.31.2 8.322.1 6.8 14.8 2.80 00.2 3.6 00 17.28.3 0.1 6.3 0 0.60.6 6.8

0.3 6.51.4 027.7 0.7 0.1 7.70 00.2 12.1 3.80.1 014.5 0.1 9.5 1.6 3.70.8 9.2

0 4.59.2 5.318 1 1.3 2.70 00.1 11.4 3.30 012.1 0 16.2 3.7 0.80.4 10

0 30.8 0.320.8 0.3 0.2 2.80 00 10.3 2.40 019.9 0.1 1.5 6.1 1.22.2 28.1

0 1.44 0.423.5 1 3.8 2.50 00 11.2 0.30 022.7 0.1 5 0.7 6.11 16.2

0 8.524 1.88.9 7.9 3.7 1.20 00 15.9 00 012.8 0 8 2.2 0.20 4.9

0 0.72.1 025.9 4.3 7 40 00.4 10.9 12.70 015.8 0.5 7.5 0 30.1 5.2

Healthy.1Healthy.2Healthy.3Healthy.4Healthy.5Healthy.6Healthy.7Healthy.8Healthy.9

Healthy.100 00 90.3 0 0.5 0 0.1 8.1 0 0 0 00 0 0 0.20.6

34 00 13.6 31.9 0 0 0 5.9 0 0 0 03.3 0 0 011.2

15 1.60 4.3 0 10 6.5 12.6 1.9 8.5 0.6 5.3 1.70 0 0 0.132

26.4 0.21.4 22.6 19.3 6 1 0.3 5.1 0 0 0.1 03.5 0 0 014.2

18.3 0.91.2 42.7 0.5 0 0 0 4.7 0 0 0 017 0 1.3 013.4

0 036.9 52.4 0 0 0 0 0.6 0 0 0 00 0 10.2 00

65.6 0.70 3.5 0 1.4 2.2 0.9 0.3 0 0 2.6 2.71.2 0 4.4 014.6

51 00.8 2.3 2.3 6.4 6.3 0.1 1.2 2.1 0 5.6 0.70 0 0 021.1

0.1 00.4 18.4 26.5 0 0 0 0 0 0 51.9 00 0 0 02.6

40.3 90 10.6 0 0 12.5 0 0.1 0 8.2 11.8 2.10 0 0 2.82.5

31.6 033.7 12.7 0 0 0 0 0 0 0 10.1 00 11.1 0 00.6

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0 20 40 60Ranking of glycans in terms of reduction of CRE E.coli or CRE K.pneumoniae

Rank

ing o

f glyc

ans i

n te

rms o

f red

uctio

n of

VRE

E.faecium

Ranking of glycans in terms of reduction of CRE E. coli or CRE K. pneumoniae

Rank

ing

of g

lyca

ns in

term

s of

redu

ctio

n of

VRE

E. f

aeci

um

• Single-strain assays of 16 CRE strains of K. pneumoniae, E. coli or E. cloacae (Figure 6a), 18 strains of VRE E. faecium (Figure 6b), 3 strains of C. difficile (including Nap1 strains) (Figure 6c), as well as 6 Candida strains (Figure 6d), were performed in order to screen for the absence of the ability of lead glycans to support growth

• KB109 was identified as the superior lead compound, as it did support no or minimal growth compared to no carbon-added controls for all strains tested

• In addition, KB109 did not support the growth of 3 Candidastrains. Representative results are shown in Figure 6d

C.difficile Nap 1 strain

0.00.20.40.60.81.01.2

Hour

OD

600

100 20 30 40

C. difficile Nap1(c)

Time (minutes)

CRE K. pneumoniae CRE E. coliCRE E. cloacae VRE E. faecium

Minimal growth media Rich growth media

(b)(a)

FIGURE 6d. FUNGAL PATHOGENS DO NOT GROW ON KB109

Water (no glycan)1.0

0.5

0 20 40 60

OD6

00

Glucose

0 20 40 60

KB109

0 20 40 60Hours

C. albicansC. glabrataC. tropicalis

KB109

Water (negative control – no added carbon)

Glucose (positive control)

ID Week. October 2-6 2019. Washington, DC

Y-axis shows reduction of all pathogens relative to control (no added MMT) in each patient’s microbiota (x-axis)