proteomics: addressing gaps of care in heart failure...ongoing challenges in hf •why did this...
TRANSCRIPT
Proteomics:
Addressing Gaps of Care
in Heart Failure
Peter Liu, M.D.
University of Ottawa Heart Institute
University of Toronto
Cda Invented BasketB
• The game Basketball became
a demonstration sport during
the 1913 Olympic Games
• Naismith also invented the
first football helmet
Pre-Emptive HF Care 2030• While playing golf on Amelia Island, iPhone 20
Alert for you: Message from Ms HF, fatigue and personal health monitor alarm (iWatch 9)
• Hx Alert: +ve FH of CM: BAG3/Titin risk
• You recommend her to apply personal health Dx patch #15 (on sale Amazon Prime Day)
• Remote activation of Dx panel – BNP, hsTn, GDF-15 & IGFBP7 trending up; AI diagnosis of HF subtype H21, recommend mitigation: M12
• Contact pt by VR, recommend M12 combo, reminder regarding exercise and HH diet.
5
Ongoing Challenges in HF
• Why did this particular patient end up
with heart failure at this time?
• What exactly is wrong with his/her
heart/vessels to cause this?
• Is this situation dangerous?
• What are the best treatments?
• Could we ID a new Rx for the pt?
• Is this situation reversible?
Proteomic Applications in Heart Failure
Gel -Free LC-MS
Patient Samples
from (Nested) Case
Control Cohorts
±
Aptamer DNA Arrays
±
± Relevant Murine Models
Ab Prox Extension Assay
Urine
Plasma Tissue(if available)
Available Proteomic
Technologies
Bayes-Genis A, Liu, Januzzi. J Am Coll Cardiol 2019 (in press)
Proteomics in Heart Failure
•Approaches in protein analysis
• Insight into HF processes
•Biomarkers for Dx/Px
•Disease classification
•Therapeutic development
Tools Arising
from the
Expressed
Genome –
“Omics”
Musunuru, Ingelsson, Liu, et al. Circulation
Genomics Prec Med 2017; 10:e00037
NPPB NPPA ANG
Mimecan GDF15 TIMP1 TNFXXXCHI3L1
Proteins significantly increased in HEpEF patient plasma
IGFBP7
CXXXXX CXXX AXXX CXXX2EGFR Transferrin
Proteins significantly decreased in HEpEF patient plasma
Examples of established biomarkers for HFrEF
Group 1: HEpEF; 2: DCM; 3, ICM,; 4: Healthy control
Aptamer Proteomics: Biomarkers for HFpEF (vs HFrEF)
Neural Network Deep Learning on RHF Markers
Prostaglandin G/H
synthase 2 (P35354)
Ephrin-B3 (Q15768)
Matrilin-3 (O15232)
Asialoglycoprotein
receptor 1 (P07306)
Fibroblast growth
factor 12 (P61328)
0: Healthy
1: RHF
Proteomics in Heart Failure
•Approaches in protein analysis
• Insight into HF processes
•Biomarkers for Dx/Px
•Disease classification
•Therapeutic development
miR & Protein Patterns in HF
14Isserlin R, Gramolini A, Emili A, et al., Mol Biosyst 2015; 11:239-51
Inflammatory Markers & Prognosis in HFpEF
Hage C, Lund LH, et al., Circulation Genomics Prec Med 2017;10:e001633
Inflammatory Markers & Prognosis in HFpEF
Hage C, Lund LH, et al., Circulation Genomics Prec Med 2017;10:e001633
Inflammatory Markers & Prognosis in HFpEF
Hage C, Lund LH, et al., Circulation Genomics Prec Med 2017;10:e001633
Predictors of Mortality in Multinational
Observational Cohort on Acute Heart Failure (MOCA) Study
Mebazza A, et al. Int J Cardiol 2013; 168(3):2186-94
Proteomics of Mitochondrial
Proteins in HF
Aubert, Kelly D, et al. Circulation 2016
Proteomics of Mitochondrial
Proteins in HF
Aubert, Kelly D, et al. Circulation 2016
Mechanisms of SGLT2i in HF
Wanner, Marx. Diabetologica 2018; 61:2134-9
Proteomics in Heart Failure
•Approaches in protein analysis
• Insight into HF processes
•Biomarkers for Dx/Px
•Disease classification
•Therapeutic development
Biomarkers Resembling Art:
Is It Real,or Merely
a Passing Fancy?
Salvatore
Mundi
Biomarkers as Clues to HF
26Chow C, et al., Circulation 2017; 135: e1054-e1091
Protein Markers Predicting HF in Elderly
Stenemo, Arnlov, et al., European J Heart Fail 2018; 20:55-62
Proteomic Applications in Heart Failure
Gel -Free LC-MS
Network A(e.g. Immunity, Senescence)
Patient Samples
from (Nested) Case
Control Cohorts
±
Aptamer DNA Arrays
Network B(e.g. Metabolism)
Network C(e.g. Matrix Remodeling)
± Machine Learning/AI
±
± Relevant Murine Models
Ab Prox Extension Assay
Urine
Plasma Tissue(if available)
Available Proteomic
Technologies
Biomarker Validation
Bayes-Genis A, Liu, Januzzi.
JACC 2019 (in press)
Proteomics in Heart Failure
•Approaches in protein analysis
• Insight into HF processes
•Biomarkers for Dx/Px
•Disease classification
•Therapeutic development
Heterogeneity of HFpEF by Clinical Presentation
Senni et al, Eur Heart J 2014
ComorbiditiesMechanisms
Reddy et al, Circulation 2018
MS Proteomic HF Markers
Chugh, Liu, Gramolini, Proteomics 2013; 13:2324-34; Epub prior to print
Diastolic Func’n by IGFBP7 Tertiles
Gandi, Liu, Januzzi, et al., Am J Cardiol 2014, 114:1543-1549
IGFBP7 Prognostic in I-PRESERVE
Ghandi, O’Connor, Anand, et al., J Card Failure 2016
For every 70 ng/ml
increase in
IGFBP7, the
mortality doubles
HFpEF vs Control using IGFBP7
Proteomics in Heart Failure
•Approaches in protein analysis
• Insight into HF processes
•Biomarkers for Dx/Px
•Disease classification
•Therapeutic development
From Imprecise to PrecMed
Bayes-Genis, et al., Eur Heart J 2018; 39:2793-8
IGFBP7 & Stress
p<0.001p<0.0
5p<0.001
NS Igfbp7-/-
Igfbp7+/+
WGA DAPI WGA DAPI
Igfbp7-/-Igfbp7+/+
sham
TAC
p<0.001
NS
dc
ba
p<0.05
NS
IGFBP7 & Fibrosis
p<0.05
Igfbp7-/-Igfbp7+/+
sh
am
TA
C
a
Gapdh 35
Igfbp7+/+ Igfbp7-/-
sham shamTAC TAC
CTGF 35
p<0.05
b
Utility of Biomarkers for Precision
Medicine in Heart Failure
44
EtiologyRemo-deling
TreatmentOptions
Response
Symptoms / Prognosis
EtiologyRemo-deling
TreatmentOptions
Response
IGFBP7 in PARAMOUNT
Januzzi J, Solomon S, et al, Circ Heart Failure 2018; 11:005133
Adrenomedullin in HF
Voors, Butler J, et al. Eur J Hrt Fail 2019
Adrenomedullin in HF
Voors, Butler J, et al. Eur J Hrt Fail 2019
Proteomic Applications in Heart Failure
Gel -Free LC-MSResponse
to Rx
RxTrial
Network A(e.g. Immunity, Senescence)
Patient Samples
from (Nested) Case
Control Cohorts
±
Aptamer DNA Arrays
Network B(e.g. Metabolism)
Network C(e.g. Matrix Remodeling)
± Machine Learning/AI
±
± Relevant Murine Models
Ab Prox Extension Assay
Urine
Plasma Tissue(if available)
Available Proteomic
Technologies
Biomarker ValidationSystem Biol Integration Precision Medicine
Bayes-Genis A, Liu, Januzzi.
JACC 2019 (in press)
Precision Mapping of Fibrosis Markers
49
CITP/PIIINP/Gal-3
Metabolic Targets in Fibrosis
Xiao, Liu, et al. Nature Review Drug Discovery 2019 (in press)
Partnership to Realize PrecMed
51
HFPatient
Bio-MarkerTeam
Rx Develop
Team
FDA/EMAPayers
Providers/
Omics/AI
A Takotsubo moment…..
54
Conclusions• Systems biology approaches permit
discovery of novel pathophysiological relevant biomarkers in heart failure
• For PrecMed, biomarkers should inform disease process and ID HF subtypes
• Ideal biomarker also identify therapeutic choices and potential response to Rx
• Collaboration amongst translational and clinical researchers, industry and regulators will be needed to move the field forward