Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning

Cardio/cerebrovascular diseases (CVD) have become one of the major health issue in our societies. But recent studies show that the present pathology tests to detect CVD are ineffectual as they do not consider different stages of platelet activation or the molecular dynamics involved in platelet inte...

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Vydáno v:	PLoS computational biology Ročník 18; číslo 3; s. e1009910
Hlavní autoři:	Dutta, Ritabrata, Zouaoui Boudjeltia, Karim, Kotsalos, Christos, Rousseau, Alexandre, Ribeiro de Sousa, Daniel, Desmet, Jean-Marc, Van Meerhaeghe, Alain, Mira, Antonietta, Chopard, Bastien
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 10.03.2022 Public Library of Science (PLoS)
Témata:	Bayes Theorem Bayesian analysis Bayesian statistical decision theory Biology and Life Sciences Blood platelets Cardiovascular diseases Cardiovascular Diseases - diagnosis Cerebrovascular diseases Chemical vapor deposition Chronic obstructive pulmonary disease Computation Customization Datasets Development and progression Diagnosis Engineering and Technology Estimates Hemodialysis Humans Learning Machine learning Mathematical models Medical treatment Medicine and Health Sciences Molecular dynamics Parameter identification Pathology Patients Physical Sciences Platelets Statistical tests Statistics Stochasticity Vascular Diseases United Kingdom
ISSN:	1553-7358, 1553-734X, 1553-7358
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Abstract	Cardio/cerebrovascular diseases (CVD) have become one of the major health issue in our societies. But recent studies show that the present pathology tests to detect CVD are ineffectual as they do not consider different stages of platelet activation or the molecular dynamics involved in platelet interactions and are incapable to consider inter-individual variability. Here we propose a stochastic platelet deposition model and an inferential scheme to estimate the biologically meaningful model parameters using approximate Bayesian computation with a summary statistic that maximally discriminates between different types of patients. Inferred parameters from data collected on healthy volunteers and different patient types help us to identify specific biological parameters and hence biological reasoning behind the dysfunction for each type of patients. This work opens up an unprecedented opportunity of personalized pathology test for CVD detection and medical treatment.
AbstractList	Cardio/cerebrovascular diseases (CVD) have become one of the major health issue in our societies. But recent studies show that the present pathology tests to detect CVD are ineffectual as they do not consider different stages of platelet activation or the molecular dynamics involved in platelet interactions and are incapable to consider inter-individual variability. Here we propose a stochastic platelet deposition model and an inferential scheme to estimate the biologically meaningful model parameters using approximate Bayesian computation with a summary statistic that maximally discriminates between different types of patients. Inferred parameters from data collected on healthy volunteers and different patient types help us to identify specific biological parameters and hence biological reasoning behind the dysfunction for each type of patients. This work opens up an unprecedented opportunity of personalized pathology test for CVD detection and medical treatment. Cardio/cerebrovascular diseases (CVD) have become one of the major health issue in our societies. But recent studies show that the present pathology tests to detect CVD are ineffectual as they do not consider different stages of platelet activation or the molecular dynamics involved in platelet interactions and are incapable to consider inter-individual variability. Here we propose a stochastic platelet deposition model and an inferential scheme to estimate the biologically meaningful model parameters using approximate Bayesian computation with a summary statistic that maximally discriminates between different types of patients. Inferred parameters from data collected on healthy volunteers and different patient types help us to identify specific biological parameters and hence biological reasoning behind the dysfunction for each type of patients. This work opens up an unprecedented opportunity of personalized pathology test for CVD detection and medical treatment. Cardiovascular accidents often result from blood deficiencies, such as platelets dysfunction. Current diagnosis techniques to detect such dysfunctions are not sufficiently accurate and unable to determine which platelet properties are affected. We develop a novel approach to describe in-vitro platelets deposition patterns in terms of clinically meaningful patient specific bio-physical quantities that allow for personalized clinical diagnostics. This approach combines mathematical modeling, statistical inference techniques, machine learning and high performance computation to estimate the values of these clinically relevant platelet properties. We demonstrate our approach on three classes of donors, healthy volunteers, patients subject to dialysis and patients with chronic obstructive pulmonary disease. We claim that our approach opens a paradigm shift for the treatment and diagnosis of cardiovascular diseases, leading to personalized medicine. Cardio/cerebrovascular diseases (CVD) have become one of the major health issue in our societies. But recent studies show that the present pathology tests to detect CVD are ineffectual as they do not consider different stages of platelet activation or the molecular dynamics involved in platelet interactions and are incapable to consider inter-individual variability. Here we propose a stochastic platelet deposition model and an inferential scheme to estimate the biologically meaningful model parameters using approximate Bayesian computation with a summary statistic that maximally discriminates between different types of patients. Inferred parameters from data collected on healthy volunteers and different patient types help us to identify specific biological parameters and hence biological reasoning behind the dysfunction for each type of patients. This work opens up an unprecedented opportunity of personalized pathology test for CVD detection and medical treatment.Cardio/cerebrovascular diseases (CVD) have become one of the major health issue in our societies. But recent studies show that the present pathology tests to detect CVD are ineffectual as they do not consider different stages of platelet activation or the molecular dynamics involved in platelet interactions and are incapable to consider inter-individual variability. Here we propose a stochastic platelet deposition model and an inferential scheme to estimate the biologically meaningful model parameters using approximate Bayesian computation with a summary statistic that maximally discriminates between different types of patients. Inferred parameters from data collected on healthy volunteers and different patient types help us to identify specific biological parameters and hence biological reasoning behind the dysfunction for each type of patients. This work opens up an unprecedented opportunity of personalized pathology test for CVD detection and medical treatment.
Audience	Academic
Author	Rousseau, Alexandre Mira, Antonietta Zouaoui Boudjeltia, Karim Van Meerhaeghe, Alain Chopard, Bastien Ribeiro de Sousa, Daniel Desmet, Jean-Marc Kotsalos, Christos Dutta, Ritabrata
AuthorAffiliation	3 University of Geneva, Geneva, Switzerland 1 University of Warwick, United Kingdom 6 Università della Svizzera italiana, Lugano, Switzerland 7 University of Insubria, Varese, Italy Johannes Kepler University Linz: Johannes Kepler Universitat Linz, AUSTRIA 2 Laboratory of Experimental Medicine (ULB 222), Medicine Faculty, Université Libre de Bruxelles, ISPPC CHU de Charleroi, Charleroi, Belgium 5 Pneumology Department, ISPPC CHU de Charleroi, Charleroi, Belgium 4 Nephrology Department, ISPPC CHU de Charleroi, Charleroi, Belgium
AuthorAffiliation_xml	– name: 1 University of Warwick, United Kingdom – name: 7 University of Insubria, Varese, Italy – name: 3 University of Geneva, Geneva, Switzerland – name: 4 Nephrology Department, ISPPC CHU de Charleroi, Charleroi, Belgium – name: 6 Università della Svizzera italiana, Lugano, Switzerland – name: Johannes Kepler University Linz: Johannes Kepler Universitat Linz, AUSTRIA – name: 2 Laboratory of Experimental Medicine (ULB 222), Medicine Faculty, Université Libre de Bruxelles, ISPPC CHU de Charleroi, Charleroi, Belgium – name: 5 Pneumology Department, ISPPC CHU de Charleroi, Charleroi, Belgium
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Cites_doi	10.1080/01621459.1952.10483441 10.1111/j.1467-9868.2011.01010.x 10.1185/03007995.2016.1149054 10.1198/016214506000001437 10.1007/s10589-010-9329-3 10.1007/s11239-019-01983-x 10.1136/jcp.2006.037523 10.1098/rsos.170219 10.1007/s11222-011-9271-y 10.1007/s11222-014-9507-8 10.1155/2015/824624 10.1007/s00180-013-0428-3 10.1016/j.rmed.2020.106098 10.1146/annurev-ecolsys-102209-144621 10.1016/j.tree.2010.04.001 10.1111/rssb.12312 10.1038/s41592-019-0686-2 10.1080/09537100802082256 10.1001/jama.2010.181 10.1145/3093172.3093233 10.1016/j.transci.2011.03.006 10.1080/01621459.1971.10482356 10.1039/C6SM01153E 10.18637/jss.v100.i07 10.1214/11-BA602 10.3389/fphys.2018.01128 10.1111/j.1541-0420.2010.01410.x 10.3390/ijms18081803 10.1111/j.2517-6161.1995.tb02031.x
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References	A Thijs (pcbi.1009910.ref017) 2008; 70 M Lenormand (pcbi.1009910.ref031) 2013; 28 P Mourikis (pcbi.1009910.ref016) 2020; 49 K Zouaoui Boudjeltia (pcbi.1009910.ref022) 2020 K Bujak (pcbi.1009910.ref020) 2015; 2015 L Pacchiardi (pcbi.1009910.ref011) 2020 M Piagnerelli (pcbi.1009910.ref021) 2007; 60 T Gneiting (pcbi.1009910.ref045) 2007; 102 J Shreffler (pcbi.1009910.ref023) 2020 K Csilléry (pcbi.1009910.ref040) 2010; 25 AW Van der Vaart (pcbi.1009910.ref013) 2000 F Gao (pcbi.1009910.ref046) 2012; 51 JO Berger (pcbi.1009910.ref012) 2013 X Bian (pcbi.1009910.ref026) 2016; 12 KQ Weinberger (pcbi.1009910.ref010) 2009; 10 WM Rand (pcbi.1009910.ref044) 1971; 66 P Del Moral (pcbi.1009910.ref030) 2012; 22 NJ Breet (pcbi.1009910.ref002) 2010; 303 pcbi.1009910.ref036 M Park (pcbi.1009910.ref037) 2016 pcbi.1009910.ref034 CC Drovandi (pcbi.1009910.ref029) 2011; 67 P Fearnhead (pcbi.1009910.ref041) 2012; 74 WH Kruskal (pcbi.1009910.ref015) 1952; 47 MU Gutmann (pcbi.1009910.ref035) 2017 P Virtanen (pcbi.1009910.ref047) 2020; 17 SM Picker (pcbi.1009910.ref003) 2011; 44 B Shenkman (pcbi.1009910.ref006) 2008; 19 W De Vazelhes (pcbi.1009910.ref043) 2020; 21 H Mallah (pcbi.1009910.ref018) 2020 R Dutta (pcbi.1009910.ref008) 2018; 9 B Chopard (pcbi.1009910.ref025) 2017; 4 J Lintusaari (pcbi.1009910.ref007) 2017; 66 R Dutta (pcbi.1009910.ref033) 2021; 100 pcbi.1009910.ref009 C Kotsalos (pcbi.1009910.ref027) 2020 X Didelot (pcbi.1009910.ref039) 2011; 6 M Malerba (pcbi.1009910.ref019) 2016; 32 C Albert (pcbi.1009910.ref032) 2015; 25 K Koltai (pcbi.1009910.ref004) 2017; 18 E Bernton (pcbi.1009910.ref038) 2019; 81 B Chopard (pcbi.1009910.ref005) 2017; 4 Y Benjamini (pcbi.1009910.ref014) 1995; 57 pcbi.1009910.ref001 pcbi.1009910.ref024 MA Beaumont (pcbi.1009910.ref028) 2010; 41 B Jiang (pcbi.1009910.ref042) 2017
References_xml	– volume: 47 start-page: 583 issue: 260 year: 1952 ident: pcbi.1009910.ref015 article-title: Use of ranks in one-criterion variance analysis publication-title: Journal of the American statistical Association doi: 10.1080/01621459.1952.10483441 – start-page: 1595 year: 2017 ident: pcbi.1009910.ref042 article-title: Learning summary statistic for approximate Bayesian computation via deep neural network publication-title: Statistica Sinica – volume: 74 start-page: 419 issue: 3 year: 2012 ident: pcbi.1009910.ref041 article-title: Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation publication-title: Journal of the Royal Statistical Society Series B (Statistical Methodology) doi: 10.1111/j.1467-9868.2011.01010.x – volume-title: Statistical decision theory and Bayesian analysis year: 2013 ident: pcbi.1009910.ref012 – volume: 32 start-page: 885 issue: 5 year: 2016 ident: pcbi.1009910.ref019 article-title: Platelet activation and cardiovascular comorbidities in patients with chronic obstructive pulmonary disease publication-title: Current medical research and opinion doi: 10.1185/03007995.2016.1149054 – volume: 102 start-page: 359 issue: 477 year: 2007 ident: pcbi.1009910.ref045 article-title: Strictly proper scoring rules, prediction, and estimation publication-title: Journal of the American statistical Association doi: 10.1198/016214506000001437 – volume: 51 start-page: 259 issue: 1 year: 2012 ident: pcbi.1009910.ref046 article-title: Implementing the Nelder-Mead simplex algorithm with adaptive parameters publication-title: Computational Optimization and Applications doi: 10.1007/s10589-010-9329-3 – volume: 66 start-page: e66 issue: 1 year: 2017 ident: pcbi.1009910.ref007 article-title: Fundamentals and recent developments in approximate Bayesian computation publication-title: Systematic biology – start-page: 1 year: 2017 ident: pcbi.1009910.ref035 article-title: Likelihood-free inference via classification publication-title: Statistics and Computing – volume: 49 start-page: 168 issue: 1 year: 2020 ident: pcbi.1009910.ref016 article-title: Platelet reactivity in patients with chronic kidney disease and hemodialysis publication-title: Journal of Thrombosis and Thrombolysis doi: 10.1007/s11239-019-01983-x – volume: 21 start-page: 1 issue: 138 year: 2020 ident: pcbi.1009910.ref043 article-title: metric-learn: Metric learning algorithms in python publication-title: Journal of Machine Learning Research – volume: 60 start-page: 549 issue: 5 year: 2007 ident: pcbi.1009910.ref021 article-title: Assessment of erythrocyte shape by flow cytometry techniques publication-title: Journal of clinical pathology doi: 10.1136/jcp.2006.037523 – start-page: 20190116 issue: 11 year: 2020 ident: pcbi.1009910.ref027 article-title: Digital Blood in Massively Parallel CPU/GPU Systems for the Study of Platelet Transport publication-title: Interface Focus (Royal Society) – volume: 4 start-page: 170219 issue: 4 year: 2017 ident: pcbi.1009910.ref005 article-title: A physical description of the adhesion and aggregation of platelets publication-title: Royal Society open science doi: 10.1098/rsos.170219 – ident: pcbi.1009910.ref024 – volume: 22 start-page: 1009 issue: 5 year: 2012 ident: pcbi.1009910.ref030 article-title: An adaptive sequential Monte Carlo method for approximate Bayesian computation publication-title: Statistics and Computing doi: 10.1007/s11222-011-9271-y – volume: 25 start-page: 1217 year: 2015 ident: pcbi.1009910.ref032 article-title: A simulated annealing approach to approximate Bayesian computations publication-title: Statistics and Computing doi: 10.1007/s11222-014-9507-8 – volume: 2015 year: 2015 ident: pcbi.1009910.ref020 article-title: The prognostic role of red blood cell distribution width in coronary artery disease: a review of the pathophysiology publication-title: Disease markers doi: 10.1155/2015/824624 – volume: 28 start-page: 2777 issue: 6 year: 2013 ident: pcbi.1009910.ref031 article-title: Adaptive approximate Bayesian computation for complex models publication-title: Computational Statistics doi: 10.1007/s00180-013-0428-3 – ident: pcbi.1009910.ref001 – year: 2020 ident: pcbi.1009910.ref022 article-title: Spherization of red blood cells and platelet margination in COPD patients publication-title: Annals of the New York Academy of Sciences – ident: pcbi.1009910.ref009 – start-page: 398 volume-title: Artificial intelligence and statistics year: 2016 ident: pcbi.1009910.ref037 – start-page: 106098 year: 2020 ident: pcbi.1009910.ref018 article-title: Platelets in chronic obstructive pulmonary disease: An update on pathophysiology and implications for antiplatelet therapy publication-title: Respiratory Medicine doi: 10.1016/j.rmed.2020.106098 – volume: 70 start-page: 325 issue: 4 year: 2008 ident: pcbi.1009910.ref017 article-title: Mild-to-moderate renal impairment is associated with platelet activation: a cross-sectional study publication-title: Clinical nephrology – volume: 41 start-page: 379 year: 2010 ident: pcbi.1009910.ref028 article-title: Approximate Bayesian computation in evolution and ecology publication-title: Annual review of ecology, evolution, and systematics doi: 10.1146/annurev-ecolsys-102209-144621 – ident: pcbi.1009910.ref036 – volume: 25 start-page: 410 issue: 7 year: 2010 ident: pcbi.1009910.ref040 article-title: Approximate Bayesian computation (ABC) in practice publication-title: Trends in Ecology & Evolution doi: 10.1016/j.tree.2010.04.001 – volume: 81 start-page: 235 issue: 2 year: 2019 ident: pcbi.1009910.ref038 article-title: Approximate Bayesian computation with the Wasserstein distance publication-title: Journal of the Royal Statistical Society: Series B (Statistical Methodology) doi: 10.1111/rssb.12312 – volume: 17 start-page: 261 year: 2020 ident: pcbi.1009910.ref047 article-title: SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python publication-title: Nature Methods doi: 10.1038/s41592-019-0686-2 – volume: 19 start-page: 440 issue: 6 year: 2008 ident: pcbi.1009910.ref006 article-title: Testing agonist-induced platelet aggregation by the Impact-R [Cone and plate (let) analyzer (CPA)] publication-title: Platelets doi: 10.1080/09537100802082256 – volume: 303 start-page: 754 issue: 8 year: 2010 ident: pcbi.1009910.ref002 article-title: Comparison of platelet function tests in predicting clinical outcome in patients undergoing coronary stent implantation publication-title: Jama doi: 10.1001/jama.2010.181 – ident: pcbi.1009910.ref034 doi: 10.1145/3093172.3093233 – volume-title: Asymptotic statistics year: 2000 ident: pcbi.1009910.ref013 – volume: 44 start-page: 305 year: 2011 ident: pcbi.1009910.ref003 article-title: In-vitro assessment of platelet function publication-title: Transfus Apher Sci doi: 10.1016/j.transci.2011.03.006 – volume: 4 start-page: 170219 issue: 4 year: 2017 ident: pcbi.1009910.ref025 article-title: A physical description of the adhesion and aggregation of platelets publication-title: Royal Society Open Science doi: 10.1098/rsos.170219 – volume: 66 start-page: 846 issue: 336 year: 1971 ident: pcbi.1009910.ref044 article-title: Objective criteria for the evaluation of clustering methods publication-title: Journal of the American Statistical association doi: 10.1080/01621459.1971.10482356 – volume: 12 start-page: 6331 year: 2016 ident: pcbi.1009910.ref026 article-title: 111 years of Brownian motion publication-title: Soft Matter doi: 10.1039/C6SM01153E – volume: 100 start-page: 1 issue: 7 year: 2021 ident: pcbi.1009910.ref033 article-title: ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation publication-title: Journal of Statistical Software doi: 10.18637/jss.v100.i07 – volume: 6 start-page: 49 issue: 1 year: 2011 ident: pcbi.1009910.ref039 article-title: Likelihood-free estimation of model evidence publication-title: Bayesian Analysis doi: 10.1214/11-BA602 – volume: 9 start-page: 1128 year: 2018 ident: pcbi.1009910.ref008 article-title: Parameter estimation of platelets deposition: Approximate Bayesian computation with high performance computing publication-title: Frontiers in physiology doi: 10.3389/fphys.2018.01128 – volume: 10 issue: 2 year: 2009 ident: pcbi.1009910.ref010 article-title: Distance metric learning for large margin nearest neighbor classification publication-title: Journal of Machine Learning Research – start-page: 1 year: 2020 ident: pcbi.1009910.ref011 article-title: Distance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption publication-title: Sankhya B – year: 2020 ident: pcbi.1009910.ref023 publication-title: Diagnostic testing accuracy: Sensitivity, specificity, predictive values and likelihood ratios – volume: 67 start-page: 225 issue: 1 year: 2011 ident: pcbi.1009910.ref029 article-title: Estimation of parameters for macroparasite population evolution using approximate Bayesian computation publication-title: Biometrics doi: 10.1111/j.1541-0420.2010.01410.x – volume: 18 start-page: 1803 issue: 8 year: 2017 ident: pcbi.1009910.ref004 article-title: Platelet aggregometry testing: Molecular mechanisms, techniques and clinical implications publication-title: International journal of molecular sciences doi: 10.3390/ijms18081803 – volume: 57 start-page: 289 issue: 1 year: 1995 ident: pcbi.1009910.ref014 article-title: Controlling the false discovery rate: a practical and powerful approach to multiple testing publication-title: Journal of the Royal statistical society: series B (Methodological) doi: 10.1111/j.2517-6161.1995.tb02031.x
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SubjectTerms	Bayes Theorem Bayesian analysis Bayesian statistical decision theory Biology and Life Sciences Blood platelets Cardiovascular diseases Cardiovascular Diseases - diagnosis Cerebrovascular diseases Chemical vapor deposition Chronic obstructive pulmonary disease Computation Customization Datasets Development and progression Diagnosis Engineering and Technology Estimates Hemodialysis Humans Learning Machine learning Mathematical models Medical treatment Medicine and Health Sciences Molecular dynamics Parameter identification Pathology Patients Physical Sciences Platelets Statistical tests Statistics Stochasticity Vascular Diseases
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Title	Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning
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