Volitionrx Limited · AMEX:VNRX

Volitionrx — NETs in Sepsis Management Webinar, Oct 2024

69 slides from Volitionrx's conference presentation, October 2024

  1. Slide 1: NETs: Casting a new light on sepsis management

    NETs: Casting a new light on sepsis management

  2. Slide 2: Forward Looking Statements and Disclaimer

    Forward Looking Statements and Disclaimer Statements in this document may be “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, that concern matters that involve risks and uncer

  3. Slide 3: Speakers

    Speakers Speakers Dr. Andrew Retter Mr. Gael Forterre MBBS, MRCP, FRCPath (Haem), DICM, FFICM Chief Commercial Officer Clinical Lead in Critical Care Medicine, ECMO and Thrombosis Chief Medical Officer at VolitionRx, UK Confidential Property of Volition © 2024 - Property of Volition© 2024 Slide 3

  4. Slide 4: Conflicts of interest to declare

    Conflicts of interest to declare • Employee and shareholder of VolitionRX Limited Property of Volition© 2024 Slide 4

  5. Slide 5: Neutrophil Extracellular Traps (NETs)

    Neutrophil Extracellular Traps (NETs) NETs: • are produced by ejecting chromosomal material out of the cell • catch and kill bacteria and viruses • can sterilize blood in minutes • first reported in 20041 • now the subject of > 5000 publications 1. Brinkmann V, Reichard U, Goosmann C, Fauler B, Uhle

  6. Slide 6: 1 in 5 deaths worldwide are associated with sepsis

    1 in 5 deaths worldwide are associated with sepsis It’s the number 1... Almost 50 million cases resulting in Cause of death in Over 40% of 11 million deaths​ hospitals survivors suffer from long-term physical Over 40% of cases Cause for hospital or psychological are children under readmissions effec

  7. Slide 7: Who is at risk?

    Who is at risk? Anyone can get sepsis. It is indiscriminate of: Age Ethnicity Socio-Economic status 80% of infections leading to sepsis are contracted outside of a hospital. Property of Volition© 2024 Slide 7

  8. Slide 8: Unmet Needs

    Unmet Needs • Current diagnosis is empirical, multi-factorial and subjective. • CURRENT methods of assessment (SOFA and APACHE II) are both complex & slow. • Accepted need for improved diagnostics1. 1. Rudd et al. 2020 The Lancet doi: 10.1016/S0140-6736(19)32989-7. Property of Volition© 2024 Slide 8

  9. Slide 9: Volition’s Mission

    Volition’s Mission Develop a low-cost, easy-to-use, rapid diagnostic test to save lives and improve outcomes for patients worldwide. We are here to present Nu.Q® NETs H3.1 assay, a novel, clinically relevant biomarker which has the potential to change the management of patients with sepsis. Property

  10. Slide 10: KOL meeting: Sept 2024

    KOL meeting: Sept 2024 Chaired by Professor Djillali Annane, Professor of Medicine at University Paris Saclay- UVSQ. • Professor Derek Angus, Professor and Chair of the Critical Care Medicine Department at the University of Pittsburgh. (Partial attendance; virtual) • Professor Michael Bauer, Profess

  11. Slide 11: NETs: Casting a new light on sepsis management

    NETs: Casting a new light on sepsis management 12:30-1:30 | Monday 7th October Room 112 | Channel 3 Prof. Djillali Annane Professor of Medicine, University Paris Saclay-UVSQ, France Join us to: Dr. Caroline Neumann • Explore how the Nu.Q® NETs biomarker has the potential to Senior Consultant in Inte

  12. Slide 12: Studies at Centers of Excellence: >3000 patients

    Studies at Centers of Excellence: >3000 patients Study Country Description Cohort Size SISPCT Germany Retrospective analysis of 971 intensive care patients prospectively collected cohort Multiple timepoints Amsterdam Netherlands Retrospective analysis of 1,713 intensive care patients UMC prospective

  13. Slide 13: Executive Summary: consolidated conclusions

    Executive Summary: consolidated conclusions Results from three independent studies totalling over 3,000 patients These findings are consistent across cohorts1-3 An elevated H3.1 level reflects a dysregulated immune response and is associated with: • a risk of increased mortality • an increased risk

  14. Slide 14: Why is H3.1 key: the biology & scientific rationale

    Why is H3.1 key: the biology & scientific rationale Dr. Andrew Retter, MBBS, MRCP, FRCPath (Haem), DICM, FFICM Clinical Lead in Intensive Care, ECMO and Thrombosis Confidential - Property of Volition© 2024 Slide 14

  15. Slide 15: Nucleosomes and histones:

    Nucleosomes and histones: Property of Volition© 2024 Slide 15

  16. Slide 16: Nucleosomes and histones:

    Nucleosomes and histones: Key message: The H3.1 assay can detect nucleosomes using chemiluminescence technology and provide a result within 15 minutes The lower limit of quantification is 20ng/ml The upper limit of quantification is 20,000ng/ml Property of Volition© 2024 Slide 16

  17. Slide 17: H3.1 as a Damage-Associated Molecular Protein

    H3.1 as a Damage-Associated Molecular Protein Silk et al, Cell Death & Disease, 2017 http://dx.doi.org/10.1038/cddis.2017.52 Property of Volition© 2024 Slide 17

  18. Slide 18: H3.1 sits as a triumvirate of innate immunity, inflammation and coagulation

    H3.1 sits as a triumvirate of innate immunity, inflammation and coagulation. The majority of extracellular pathology is due to the indiscriminate binding of anionic components of the circulation and vasculature. Property of Volition© 2024 Slide 18

  19. Slide 19: Extracellular Histones and Organ Injury

    Extracellular Histones and Organ Injury Silk et al, Cell Death & Disease, 2017 http://dx.doi.org/10.1038/cddis.2017.52 Property of Volition© 2024 Slide 19

  20. Slide 20: Bacteria Alveolus Platelet plug

    Bacteria Alveolus Active TF TF rich microparticles Monocyte H3.1 Pathogen PRR Elastase, Cathepsin G, Coagulation PSGL1 Myeloperoxidase, complement are enhanced Monocyte Reactive oxygen species P-selectin Platelet plug Property of Volition© 2024 Slide 20

  21. Slide 21: The role of H3.1 in NETosis

    The role of H3.1 in NETosis: …proving we are measuring what we say we are measuring! Terry Kelly, PhD., Chief Innovation Officer, Volition Confidential - Property of Volition© 2024 Slide 21

  22. Slide 22: NETs Contain Proteins and Trap Pathogens

    NETs Contain Proteins and Trap Pathogens A neutrophil granulocyte (yellow) has ejected a NET (green) to capture bacteria (purple). A red blood cell (orange) is also trapped in the NET. Stained scanning electron microscope image by Volker Brinkmann. © Volker Brinkmann / Max Planck Institute for Infec

  23. Slide 23: H3.1 Nucleosome Levels Increase With NETosis

    H3.1 Nucleosome Levels Increase With NETosis Zukas et al, Journal of Thrombosis & Hematology, 2024 https://doi.org/10.1016/j.jtha.2024.05.028 JTH Commentary, Sept 2024 https://doi.org/10.1016/j.jtha.2024.06.016 Property of Volition© 2024 Slide 23

  24. Slide 24: Kinetic Information

    Kinetic Information H3.1 is not impacted by height, weight, age, sex1 H3.1 is not impacted by the circadian rhythm2 1. German Data Set, data on file; 2. RHU Records Data Set, data on file Property of Volition© 2024 Slide 24

  25. Slide 25: cfDNA Profiles Vary Across Disease and Cell Death Mechanisms

    cfDNA Profiles Vary Across Disease and Cell Death Mechanisms Apoptosis Length of Plasma Derived DNA Cancer Sepsis NETs Circulating nucleosome levels increase as they are released faster than they can be removed Data on file Property of Volition© 2024 Slide 25

  26. Slide 26: Clinical Data

    Clinical Data Confidential - Property of Volition© 2024 Slide 26

  27. Slide 27: H3.1 only correlated weakly with the neutrophil count

    H3.1 only correlated weakly with the neutrophil count 1. German Data Set, data on file; 2. RHU Records Data Set, data on file Property of Volition© 2024 Slide 27

  28. Slide 28: H3.1 only weakly correlated with the neutrophil count

    H3.1 only weakly correlated with the neutrophil count This is critical as H3.1 is giving us NEW information! You don’t just have to measure an FBC. 1. Amsterdam UMC Data Set, data on file Property of Volition© 2024 Slide 28

  29. Slide 29: H3.1 predicts mortality

    H3.1 predicts mortality Property of Volition© 2024 Confidential Slide 29

  30. Slide 30: Initial H3.1 readings above 10,000 predicted mortality within 14 days

    Initial H3.1 readings above 10,000 predicted mortality within 14 days first ng m iagnosis septic shock sev ere sepsis Overall survivors not plotted ays o eath ays German Data Set, data on file All this work is based on admission H3.1 Property of Volition© 2024 Slide 30

  31. Slide 31: Mortality risk for different levels of H3.1 on admission

    Mortality risk for different levels of H3.1 on admission German Data Set, data on file All this work is based on admission H3.1 Property of Volition© 2024 Slide 31

  32. Slide 32: Kaplan-Meier plot of survival based on initial H3.1

    Kaplan-Meier plot of survival based on initial H3.1 – high > 1,143.3 ng/mL Cox H3.1_first 7.080e-05 1.000e+00 1.195e-05 5.923 3.16e-09 *** --- German Data Set, data on file Property of Volition© 2024 Slide 32

  33. Slide 33: Clinical utility of Nu.Q in septic Acute Kidney Injury (AKI)

    Clinical utility of Nu.Q® in septic Acute Kidney Injury (AKI): Data from SISPCT Confidential - Property of Volition© 2024 Slide 33

  34. Slide 34: Study Design

    n=1089 Study Design patients included in SISPCT n=208 *G : GFR ≥ 9 ml min *G2: GFR 60-89 ml/min exclusion due to n=881 pre-existing RRT *G3a: GFR 45-59 ml/min *G3b: GFR 30-44 ml/min eligible for analysis *G4: GFR 15-29 ml/min *G5: GFR<15 ml/min, but without RRT n=567 n=67 (7.6%) n=28 (3.2%) n=219 (2

  35. Slide 35: Measurement of H3.1 using Nu.Q H3.1 Assay

    Measurement of H3.1 using Nu.Q® H3.1 Assay H3.1 nucleosome levels were analyzed at admission and serially in frozen citrate plasma samples D0 D2 D7 D-1 randomization D28 and H3.1 screening D90 H3.1 H3.1 Mortality, LOS ICU AKI/no AKI and hospital, RRT dependence... German Data Set, data on file Prope

  36. Slide 36: H3.1 levels in patients with preexisting impaired kidney function without evolving AKI

    H3.1 levels in patients with preexisting impaired kidney function without evolving AKI (p<0.001) G : GFR≥ 9 ml min G2: GFR 60-89 ml/min G3a: GFR 45-59ml/min G3b: GFR 30-44ml/min G4: GFR 15-29ml/min G5: GFR <15ml/min H3.1 levels in patients with preexisting impaired kidney function without evolving A

  37. Slide 37: H3.1 Nucleosome levels over time

    H3.1 Nucleosome levels over time AKI stage D0 (Nu.Q® Level) D2 (Nu.Q® Level) D7 (Nu.Q® Level) p-value 0 484 (216-1127) 518 (249-974) 492 (229-969) 0.785 1 577 (266-1881) 790 (393-1319) 608 (234-820) 0.084 2 518 (319-1917) 809 (477-1477) 658 (356-2864) 0.574 3 1151 (509-3797) 1169 (611-2881) 885 (438

  38. Slide 38: Kaplan-Meier: Quintiles of Creatinine first for AKI

    Kaplan-Meier: Quintiles of Creatinine first for AKI Stage 4 at 28 days Group uintile Range: to mcmol roportion of cohort uintile Range: to 9 mcmol uintile Range: 9 to mcmol uintile Range: to mcmol uintile Range: to 9 mcmol ays German Data Set, data on file Property of Volition© 2024 Slide 38

  39. Slide 39: Kaplan-Meier: Quintiles of H3.1 First for AKI

    Kaplan-Meier: Quintiles of H3.1 First for AKI Stage 4 at 28 days Group uintile Range: to 9 m h roportion of cohort uintile Range: to m h uintile Range: to m h uintile H3.1 Range: to m h First uintile Range: to m h ays German Data Set, data on file Property of Volition© 2024 Slide 39

  40. Slide 40: Clinical Model of H3.1 Dose + Platelets + Urine24hr for AnyRRT28

    Clinical Model of H3.1 Dose + Platelets + Urine24hr for AnyRRT28 Group core roportion of cohort 9 at risk core at risk core at risk core at risk ays German Data Set, data on file Property of Volition© 2024 Nucleosomics pipeline version 4.0.6 Slide 40

  41. Slide 41: Kidney Failure: summary

    Kidney Failure: summary • Sepsis-induced AKI involves complex pathophysiology, with NETs playing a crucial role. • Nu.Q® H3.1, as a marker of NETosis, shows promise as a biomarker in this context. • H3.1 levels correlate with AKI severity and show distinct temporal patterns, particularly in severe A

  42. Slide 42: Respiratory Failure

    Respiratory Failure Dr. Andrew Retter Confidential - Property of Volition© 2024 Slide 42

  43. Slide 43: Restoring discarded porcine lungs by ex vivo removal of NETs

    Restoring discarded porcine lungs by ex vivo removal of neutrophil extracellular traps. Mittendorfer, Margareta et al. The Journal of Heart and Lung Transplantation, Volume 0, Issue 0. https://doi.org/10.1016/j.healun.2024.07.007 Property of Volition© 2024 Slide 43

  44. Slide 44: Restoring discarded porcine lungs by ex vivo removal of NETs

    Restoring discarded porcine lungs by ex vivo removal of neutrophil extracellular traps. Mittendorfer, Margareta et al. The Journal of Heart and Lung Transplantation, Volume 0, Issue 0. https://doi.org/10.1016/j.healun.2024.07.007 Property of Volition© 2024 Slide 44

  45. Slide 45: Restoring discarded porcine lungs by ex vivo removal of NETs

    Restoring discarded porcine lungs by ex vivo removal of neutrophil extracellular traps. Mittendorfer, Margareta et al. The Journal of Heart and Lung Transplantation, Volume 0, Issue 0. https://doi.org/10.1016/j.healun.2024.07.007 Property of Volition© 2024 Slide 45

  46. Slide 46: Restoring discarded porcine lungs by ex vivo removal of NETs

    Restoring discarded porcine lungs by ex vivo removal of neutrophil extracellular traps. Mittendorfer, Margareta et al. The Journal of Heart and Lung Transplantation, Volume 0, Issue 0. https://doi.org/10.1016/j.healun.2024.07.007 Property of Volition© 2024 Slide 46

  47. Slide 47: Restoring discarded porcine lungs by ex vivo removal of NETs

    Restoring discarded porcine lungs by ex vivo removal of neutrophil extracellular traps. Mittendorfer, Margareta et al. The Journal of Heart and Lung Transplantation, Volume 0, Issue 0. https://doi.org/10.1016/j.healun.2024.07.007 Property of Volition© 2024 Slide 47

  48. Slide 48: Our human data is consistent with this animal model of ARDS

    Our human data is consistent with this animal model of ARDS Respiratory parameters at time of admission and ARDs Nu.Q® H3.1 Nu.Q® H3.1 Statistical levels levels Sepsis Septic Shock No ARDs 138 70 63 285.7 0.0017 647.8 (14.2%) (15.8%) (12.1%) Mild ARDs 201 102 96 0.0044 396.3 646.7 (20.7%) (23%) (18.

  49. Slide 49: Consistent results across Clinical Studies

    Consistent results across Clinical Studies Property of Volition© 2024 Slide 49

  50. Slide 50: Studies at Centers of Excellence: >3000 patients

    Studies at Centers of Excellence: >3000 patients Study Country Description Cohort Size SISPCT Germany Retrospective analysis of 971 intensive care patients prospectively collected cohort Multiple timepoints Amsterdam Netherlands Retrospective analysis of 1,713 intensive care patients UMC prospective

  51. Slide 51: Relationship with mortality

    Relationship with mortality Amsterdam UMC Data Set, data on file Confidential - Property of Volition© 2024 Slide 51

  52. Slide 52: Relationship with mortality

    Relationship with mortality Amsterdam UMC Data Set, data on file Confidential - Property of Volition© 2024 Slide 52

  53. Slide 53: Relationship with AKI

    Relationship with AKI Amsterdam UMC Data Set, data on file Confidential - Property of Volition© 2024 Slide 53

  54. Slide 54: Total number of organ failures

    Total number of organ failures Amsterdam UMC Data Set, data on file Confidential - Property of Volition© 2024 Slide 54

  55. Slide 55: Total number of organ failures

    Total number of organ failures Amsterdam UMC Data Set, data on file Confidential - Property of Volition© 2024 Slide 55

  56. Slide 56: Total number of organ failures

    Total number of organ failures Amsterdam UMC Data Set, data on file Confidential - Property of Volition© 2024 Slide 56

  57. Slide 57: H3.1 levels and outcome: higher initial level in patients who will die

    H3.1 levels and outcome: Higher initial level of H3.1- nuclesomes in patient who will die (7 days follow-up) p=0.007 Alive Dead n= 374 34 Median 846 2106,8 (ng/ml) Records Data Set, data on file Confidential - Property of Volition© 2024 Slide 57

  58. Slide 58: Higher level of H3.1 in septic shock group

    Higher level of H3.1 in septic shock group p=0.001 RECORDS Septic Sepsis Shock n= 183 233 Median 727 1029 (ng/ml) Sepsis Septic Shock Records Data Set, data on file Confidential - Property of Volition© 2024 Slide 58

  59. Slide 59: The risk to need any RRT increases with the level of nucleosomes at Day 0

    The risk to need any RRT increases with the level of nucleosomes at Day 0 56 patients had at least one (any) RRT within 7 Days ➔ The distributions are significantly ≠ between categories (p = 0,002) Records Data Set, data on file Confidential - Property of Volition© 2024 Slide 59

  60. Slide 60: Higher level of H3.1-nucleosomes in patients requiring respiratory support

    Higher level of H3.1-nucleosomes in patient who required respiratory support (at admission) p<0.001 p=0.009 No assisted Assisted No invasive Invasive ventilation ventilation ventilation ventilation n= 181 235 n= 29 206 Median Median 673,4 1132,4 528,6 1261,9 (ng/ml) (ng/ml) Records Data Set, data on

  61. Slide 61: Concluding Remarks

    Concluding Remarks Confidential - Property of Volition© 2024 Slide 61

  62. Slide 62: Studies at Centers of Excellence: >3000 patients

    Studies at Centers of Excellence: >3000 patients Study Country Description Cohort Size SISPCT Germany Retrospective analysis of 971 intensive care patients prospectively collected cohort Multiple timepoints Amsterdam Netherlands Retrospective analysis of 1,713 intensive care patients UMC prospective

  63. Slide 63: Executive Summary: consolidated conclusions

    Executive Summary: consolidated conclusions Results from three independent studies totalling over 3,000 patients These findings are consistent across cohorts1-3 An elevated H3.1 level reflects a dysregulated immune response and is associated with: • a risk of increased mortality • an increased risk

  64. Slide 64: What’s next?

    What’s next? • Report from Satellite Symposium • Publication of KEY studies • Out-licensing… Property of Volition© 2024 Slide 64

  65. Slide 65: Commercial Strategy

    Commercial Strategy Gael Forterre Confidential - Property of Volition© 2024 Slide 65

  66. Slide 66: Commercial Strategy

    Commercial Strategy Overall strategy • R&D conducted by Volition and its research partners • Monetize our IP through commercial contracts Volition is looking for partners to set up non-exclusive licensing deals: • Broad geographic reach • Large installed base • Experience of tech transfer • Regulato

  67. Slide 67: NETosis Opportunity: Commercial Update

    NETosis Opportunity : Commercial Update • Licensing & Supply discussions underway with major actors of the sepsis and coagulation market • For the first time in Volition’s history, we are sharing data on the human side of the business with interested parties…exciting times! Confidential - Property o

  68. Slide 68: The Opportunity: It’s big

    The Opportunity : It’s big Country Intensive Care Average Length Price Total Population of Stay (tested Addressable daily) Market Europe (incl UK) 18m 10 days $20 3.6 Billion U.S. 14.7 10 days $27.5 4 Billion TOTAL 7.6 Billion Source: VNRX Confidential - Property of Volition© 2024 Slide 68

  69. Slide 69: Question & Answer Session

    Question & Answer Session Confidential - Property of Volition© 2024 Slide 69

VolitionRx — NETs in Sepsis Management Webinar, Oct 2024 on 6ix