000147625 001__ 147625
000147625 005__ 20241220131256.0
000147625 0247_ $$2doi$$a10.1016/j.compbiomed.2019.103357
000147625 0248_ $$2sideral$$a114977
000147625 037__ $$aART-2019-114977
000147625 041__ $$aeng
000147625 100__ $$0(orcid)0000-0001-7248-4399$$aMontolío, Alberto$$uUniversidad de Zaragoza
000147625 245__ $$aA mathematical model to predict the evolution of retinal nerve fiber layer thinning in multiple sclerosis patients
000147625 260__ $$c2019
000147625 5060_ $$aAccess copy available to the general public$$fUnrestricted
000147625 5203_ $$aMultiple sclerosis (MS) is a neurodegenerative disease of the central nervous system (CNS). Many studies of MS patients have described axonal loss in the optic nerve of the retina, and specifically progressive thinning of the retinal nerve fiber layer (RNFL). We hypothesize that RNFL thinning involves the participation of 2 processes that cause CNS damage: autoimmune inflammation and axonal degeneration. To test this hypothesis, we developed a mathematical model based on ordinary differential equations to relate the evolution of RNFL thickness (measured by optical coherence tomography [OCT]) with that of the Expanded Disability Status Scale (EDSS) score in MS patients. Data were obtained from a longitudinal study of 114 MS patients who were followed-up for 10 years. After adjusting the parameters using a genetic algorithm, the model''s prediction of the evolution of RNFL thickness accurately reflected the progression revealed by the 10-year clinical data. Our findings suggest that differences in the relative contributions of autoimmune inflammation and axonal degeneration can account for the complex dynamics of MS, which vary from one patient to the next. Moreover, our results show that CNS damage occurs cumulatively from the onset of MS and that most RNFL thinning occurs before the appearance of significant disability. RNFL thickness could therefore serve as a reliable biomarker of MS disease course. Our proposed methodology would enable the use of OCT data from new MS patients to predict the evolution of RNFL thinning and hence the progression of MS in individual patients, and to facilitate the selection of patient-specific therapies.
000147625 536__ $$9info:eu-repo/grantAgreement/ES/ISCIII/PI17-01726$$9info:eu-repo/grantAgreement/ES/MICIU/BES-2017-080384$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2016-79302-R
000147625 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000147625 590__ $$a3.434$$b2019
000147625 591__ $$aBIOLOGY$$b22 / 92 = 0.239$$c2019$$dQ1$$eT1
000147625 591__ $$aMATHEMATICAL & COMPUTATIONAL BIOLOGY$$b8 / 59 = 0.136$$c2019$$dQ1$$eT1
000147625 591__ $$aENGINEERING, BIOMEDICAL$$b26 / 87 = 0.299$$c2019$$dQ2$$eT1
000147625 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b33 / 109 = 0.303$$c2019$$dQ2$$eT1
000147625 592__ $$a0.834$$b2019
000147625 593__ $$aHealth Informatics$$c2019$$dQ2
000147625 593__ $$aComputer Science Applications$$c2019$$dQ2
000147625 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000147625 700__ $$0(orcid)0000-0002-2967-6747$$aCegoñino, José$$uUniversidad de Zaragoza
000147625 700__ $$0(orcid)0000-0003-2710-1875$$aOrduna, Elvira$$uUniversidad de Zaragoza
000147625 700__ $$aSebastian, Berta
000147625 700__ $$0(orcid)0000-0001-6258-2489$$aGarcia-Martin, Elena$$uUniversidad de Zaragoza
000147625 700__ $$0(orcid)0000-0003-0669-777X$$aPérez del Palomar, Amaya$$uUniversidad de Zaragoza
000147625 7102_ $$11004$$2646$$aUniversidad de Zaragoza$$bDpto. Cirugía,Ginecol.Obstetr.$$cÁrea Oftalmología
000147625 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000147625 773__ $$g111 (2019), 103357 1-11$$pComput. biol. med.$$tComputers in biology and medicine$$x0010-4825
000147625 8564_ $$s1513637$$uhttps://zaguan.unizar.es/record/147625/files/texto_completo.pdf$$yPostprint
000147625 8564_ $$s852623$$uhttps://zaguan.unizar.es/record/147625/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000147625 909CO $$ooai:zaguan.unizar.es:147625$$particulos$$pdriver
000147625 951__ $$a2024-12-20-12:00:41
000147625 980__ $$aARTICLE