{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T09:23:27Z","timestamp":1783070607532,"version":"3.54.6"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031945588","type":"print"},{"value":"9783031945595","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-94559-5_20","type":"book-chapter","created":{"date-parts":[[2025,6,20]],"date-time":"2025-06-20T12:16:06Z","timestamp":1750421766000},"page":"218-230","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-scale Whole-Heart Electromechanics Modeling to\u00a0Link Cellular, Tissue and\u00a0Systemic Properties to\u00a0Cardiac Biomarkers in\u00a0the\u00a0Diabetic Male and\u00a0Female Heart"],"prefix":"10.1007","author":[{"given":"Marina","family":"Strocchi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosie K.","family":"Barrows","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristobal","family":"Rodero","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9 Alonso","family":"Sol\u00eds-Lemus","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuang","family":"Qian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ludovica","family":"Cicci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdul","family":"Qayyum","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Devran","family":"Ugurlu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christoph M.","family":"Augustin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias A. F.","family":"Gsell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edward J.","family":"Vigmond","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gernot","family":"Plank","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven A.","family":"Niederer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,29]]},"reference":[{"key":"20_CR1","doi-asserted-by":"publisher","unstructured":"Augustin, C.M., et al.: A computationally efficient physiologically comprehensive 3D-0D closed-loop model of the heart and circulation. Comput. Methods Appl. Mech. Eng. 386 (2021). https:\/\/doi.org\/10.1016\/j.cma.2021.114092","DOI":"10.1016\/j.cma.2021.114092"},{"key":"20_CR2","doi-asserted-by":"publisher","unstructured":"Bayer, J.D., Blake, R.C., Plank, G., Trayanova, N.A.: A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models. Ann. Biomed. Eng. 40 (2012). https:\/\/doi.org\/10.1007\/s10439-012-0593-5","DOI":"10.1007\/s10439-012-0593-5"},{"key":"20_CR3","doi-asserted-by":"publisher","unstructured":"Chirinos, J.A., et al.: Impact of diabetes mellitus on ventricular structure, arterial stiffness, and pulsatile hemodynamics in heart failure with preserved ejection fraction. J. Am. Heart Assoc. 8 (2019). https:\/\/doi.org\/10.1161\/JAHA.118.011457","DOI":"10.1161\/JAHA.118.011457"},{"key":"20_CR4","doi-asserted-by":"publisher","unstructured":"Courtemanche, M., Ramirez, R.J., Nattel, S.: Ionic mechanisms underlying human atrial action potential properties: insights from a mathematical model. Am. J. Physiol. - Heart Circul. Physiol. 275 (1998). https:\/\/doi.org\/10.1152\/ajpheart.1998.275.1.h301","DOI":"10.1152\/ajpheart.1998.275.1.h301"},{"issue":"12","key":"20_CR5","doi-asserted-by":"publisher","first-page":"3143","DOI":"10.1007\/s10439-021-02825-9","volume":"49","author":"K Gillette","year":"2021","unstructured":"Gillette, K., et al.: Automated framework for the inclusion of a his-Purkinje system in cardiac digital twins of ventricular electrophysiology. Ann. Biomed. Eng. 49(12), 3143\u20133153 (2021). https:\/\/doi.org\/10.1007\/s10439-021-02825-9","journal-title":"Ann. Biomed. Eng."},{"key":"20_CR6","doi-asserted-by":"publisher","unstructured":"Guccione, J.M., McCulloch, A.D., Waldman, L.K.: Passive material properties of intact ventricular myocardium determined from a cylindrical model. J. Biomech. Eng. 113 (1991). https:\/\/doi.org\/10.1115\/1.2894084","DOI":"10.1115\/1.2894084"},{"key":"20_CR7","doi-asserted-by":"publisher","unstructured":"Heegaard, B., Deis, T., Rossing, K., Ersb\u00f8ll, M., Kistorp, C., Gustafsson, F.: Diabetes mellitus and hemodynamics in advanced heart failure. Int. J. Cardiol. 379 (2023). https:\/\/doi.org\/10.1016\/j.ijcard.2023.03.015","DOI":"10.1016\/j.ijcard.2023.03.015"},{"key":"20_CR8","doi-asserted-by":"publisher","unstructured":"Horton, W.B., Barrett, E.J.: Microvascular dysfunction in diabetes mellitus and cardiometabolic disease (2021). https:\/\/doi.org\/10.1210\/endrev\/bnaa025","DOI":"10.1210\/endrev\/bnaa025"},{"key":"20_CR9","doi-asserted-by":"publisher","unstructured":"Huo, J.L., Feng, Q., Pan, S., Fu, W.J., Liu, Z., Liu, Z.: Diabetic cardiomyopathy: early diagnostic biomarkers, pathogenetic mechanisms, and therapeutic interventions (2023). https:\/\/doi.org\/10.1038\/s41420-023-01553-4","DOI":"10.1038\/s41420-023-01553-4"},{"key":"20_CR10","doi-asserted-by":"publisher","unstructured":"Hyde, E.R., et al.: Beneficial effect on cardiac resynchronization from left ventricular endocardial pacing is mediated by early access to high conduction velocity tissue: electrophysiological simulation study. Circul.: Arrhythmia Electrophysiol. 8 (2015). https:\/\/doi.org\/10.1161\/CIRCEP.115.002677","DOI":"10.1161\/CIRCEP.115.002677"},{"key":"20_CR11","doi-asserted-by":"publisher","unstructured":"Jia, G., Hill, M.A., Sowers, J.R.: Diabetic cardiomyopathy: an update of mechanisms contributing to this clinical entity (2018). https:\/\/doi.org\/10.1161\/CIRCRESAHA.117.311586","DOI":"10.1161\/CIRCRESAHA.117.311586"},{"key":"20_CR12","doi-asserted-by":"publisher","unstructured":"Kannel, W.B., McGee, D.L.: Diabetes and cardiovascular risk factors: the framingham study. Circulation 59 (1979). https:\/\/doi.org\/10.1161\/01.CIR.59.1.8","DOI":"10.1161\/01.CIR.59.1.8"},{"key":"20_CR13","doi-asserted-by":"publisher","unstructured":"Labarthe, S., et al.: A bilayermodel of human atria: mathematical background, construction, and assessment. Europace 16 (2014). https:\/\/doi.org\/10.1093\/europace\/euu256","DOI":"10.1093\/europace\/euu256"},{"key":"20_CR14","doi-asserted-by":"publisher","unstructured":"Land, S., Park-Holohan, S.J., Smith, N.P., dos Remedios, C.G., Kentish, J.C., Niederer, S.A.: A model of cardiac contraction based on novel measurements of tension development in human cardiomyocytes. J. Mol. Cell. Cardiol. 106 (2017). https:\/\/doi.org\/10.1016\/j.yjmcc.2017.03.008","DOI":"10.1016\/j.yjmcc.2017.03.008"},{"key":"20_CR15","doi-asserted-by":"publisher","unstructured":"Marx, L., Niestrawska, J.A., Gsell, M.A., Caforio, F., Plank, G., Augustin, C.M.: Robust and efficient fixed-point algorithm for the inverse elastostatic problem to identify myocardial passive material parameters and the unloaded reference configuration. J. Comput. Phys. 463 (2022). https:\/\/doi.org\/10.1016\/j.jcp.2022.111266","DOI":"10.1016\/j.jcp.2022.111266"},{"issue":"3","key":"20_CR16","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1007\/s10237-016-0865-3","volume":"16","author":"A Nasopoulou","year":"2017","unstructured":"Nasopoulou, A., et al.: Improved identifiability of myocardial material parameters by an energy-based cost function. Biomech. Model. Mechanobiol. 16(3), 971\u2013988 (2017). https:\/\/doi.org\/10.1007\/s10237-016-0865-3","journal-title":"Biomech. Model. Mechanobiol."},{"key":"20_CR17","doi-asserted-by":"publisher","unstructured":"Oken, D.E., Boucek, R.J.: Quantitation of collagen in human myocardium. Circul. Res. 5 (1957). https:\/\/doi.org\/10.1161\/01.RES.5.4.357","DOI":"10.1161\/01.RES.5.4.357"},{"key":"20_CR18","doi-asserted-by":"publisher","unstructured":"Rodero, C., et al.: Linking statistical shape models and simulated function in the healthy adult human heart. PLoS Comput. Biol. 17 (2021). https:\/\/doi.org\/10.1371\/journal.pcbi.1008851","DOI":"10.1371\/journal.pcbi.1008851"},{"issue":"1","key":"20_CR19","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/s10439-020-02525-w","volume":"49","author":"CH Roney","year":"2020","unstructured":"Roney, C.H., et al.: Constructing a human atrial fibre atlas. Ann. Biomed. Eng. 49(1), 233\u2013250 (2020). https:\/\/doi.org\/10.1007\/s10439-020-02525-w","journal-title":"Ann. Biomed. Eng."},{"key":"20_CR20","doi-asserted-by":"publisher","unstructured":"Seed, W.A., et al.: Relationships between beat-to-beat interval and the strength of contraction in the healthy and diseased human heart. Circulation 70 (1984). https:\/\/doi.org\/10.1161\/01.CIR.70.5.799","DOI":"10.1161\/01.CIR.70.5.799"},{"key":"20_CR21","doi-asserted-by":"publisher","unstructured":"Strocchi, M., et al.: A publicly available virtual cohort of fourchamber heart meshes for cardiac electromechanics simulations. PLoS One 15 (2020). https:\/\/doi.org\/10.1371\/journal.pone.0235145","DOI":"10.1371\/journal.pone.0235145"},{"key":"20_CR22","doi-asserted-by":"publisher","unstructured":"Strocchi, M., et al.: Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using gaussian processes emulators. PLOS Comput. Biol. 19 (2023). https:\/\/doi.org\/10.1371\/journal.pcbi.1011257","DOI":"10.1371\/journal.pcbi.1011257"},{"key":"20_CR23","doi-asserted-by":"publisher","unstructured":"Tomek, J., et al.: Development, calibration, and validation of a novel human ventricular myocyte model in health, disease, and drug block. eLife 8 (2019). https:\/\/doi.org\/10.7554\/eLife.48890","DOI":"10.7554\/eLife.48890"},{"key":"20_CR24","doi-asserted-by":"publisher","unstructured":"Tuttle, K.R., et al.: Molecular mechanisms and therapeutic targets for diabetic kidney disease (2022). https:\/\/doi.org\/10.1016\/j.kint.2022.05.012","DOI":"10.1016\/j.kint.2022.05.012"},{"key":"20_CR25","doi-asserted-by":"publisher","unstructured":"Walmsley, J., et al.: Fast simulation of mechanical heterogeneity in the electrically asynchronous heart using the multipatch module. PLoS Comput. Biol. 11 (2015). https:\/\/doi.org\/10.1371\/journal.pcbi.1004284","DOI":"10.1371\/journal.pcbi.1004284"},{"key":"20_CR26","doi-asserted-by":"publisher","unstructured":"Zhu, S., et al.: Prognostic relevance of left atrial function and stiffness in heart failure with preserved ejection fraction patients with and without diabetes mellitus. Front. Cardiovasc. Med. 9 (2022). https:\/\/doi.org\/10.3389\/fcvm.2022.947639","DOI":"10.3389\/fcvm.2022.947639"}],"container-title":["Lecture Notes in Computer Science","Functional Imaging and Modeling of the Heart"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-94559-5_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,20]],"date-time":"2025-06-20T12:16:06Z","timestamp":1750421766000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-94559-5_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031945588","9783031945595"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-94559-5_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"29 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that\u00a0are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MS, RKB, CR, JASL, SQ, AQ, DU, CAM, MAFG, EJV and GP contributed to software development and manuscript revision. MS, LC and SAN contributed to study design and manuscript revision. MS performed the analysis, interpretation of the results and wrote the original manuscript draft.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Author Contributions"}},{"value":"FIMH","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Functional Imaging and Modeling of the Heart","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dallas, TX","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"fimh2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/fimh2025.sciencesconf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}