{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T18:21:02Z","timestamp":1787509262231,"version":"build-2736575974"},"reference-count":40,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T00:00:00Z","timestamp":1632441600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["FP7 602706"],"award-info":[{"award-number":["FP7 602706"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>Currently, there is no therapy targeting septic cardiomyopathy (SC), a key contributor to organ dysfunction in sepsis. In this study, we used a machine learning (ML) pipeline to explore transcriptomic, proteomic, and metabolomic data from patients with septic shock, and prospectively collected measurements of high-sensitive cardiac troponin and echocardiography. The purposes of the study were to suggest an exploratory methodology to identify and characterise the multiOMICs profile of (i) myocardial injury in patients with septic shock, and of (ii) cardiac dysfunction in patients with myocardial injury. The study included 27 adult patients admitted for septic shock. Peripheral blood samples for OMICS analysis and measurements of high-sensitive cardiac troponin T (hscTnT) were collected at two time points during the ICU stay. A ML-based study was designed and implemented to untangle the relations among the OMICS domains and the aforesaid biomarkers. The resulting ML pipeline consisted of two main experimental phases: recursive feature selection (FS) assessing the stability of biomarkers, and classification to characterise the multiOMICS profile of the target biomarkers. The application of a ML pipeline to circulate OMICS data in patients with septic shock has the potential to predict the risk of myocardial injury and the risk of cardiac dysfunction.<\/jats:p>","DOI":"10.3390\/jcm10194354","type":"journal-article","created":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T20:15:32Z","timestamp":1632514532000},"page":"4354","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Application of an Exploratory Knowledge-Discovery Pipeline Based on Machine Learning to Multi-Scale OMICS Data to Characterise Myocardial Injury in a Cohort of Patients with Septic Shock: An Observational Study"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1281-543X","authenticated-orcid":false,"given":"Bernardo","family":"Bollen Pinto","sequence":"first","affiliation":[{"name":"Department of Acute Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vicent","family":"Ribas Ripoll","sequence":"additional","affiliation":[{"name":"Unit of Digital Health, Eurecat, Centre Tecnol\u00f2gic de Catalunya, 08290 Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1167-1259","authenticated-orcid":false,"given":"Paula","family":"Sub\u00edas-Beltr\u00e1n","sequence":"additional","affiliation":[{"name":"Unit of Digital Health, Eurecat, Centre Tecnol\u00f2gic de Catalunya, 08290 Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0981-0208","authenticated-orcid":false,"given":"Antoine","family":"Herpain","sequence":"additional","affiliation":[{"name":"Department of Intensive Care, Erasme University Hospital\u2014Universit\u00e9 Libre de Bruxelles, 1070 Brussels, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristina","family":"Barlassina","sequence":"additional","affiliation":[{"name":"Fondazione Filarete, 20139 Milan, Italy"},{"name":"Dipartimento di Scienze della Salute, Universit\u00e0 degli Studi di Milano, 20146 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eliandre","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Proteomics Platform, Parc Cient\u00edfic de Barcelona, 08028 Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberta","family":"Pastorelli","sequence":"additional","affiliation":[{"name":"IRCCS\u2014Istituto di Ricerche Farmacologiche Mario Negri, 20156 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2168-8425","authenticated-orcid":false,"given":"Daniele","family":"Braga","sequence":"additional","affiliation":[{"name":"Fondazione Filarete, 20139 Milan, Italy"},{"name":"Dipartimento di Scienze della Salute, Universit\u00e0 degli Studi di Milano, 20146 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matteo","family":"Barcella","sequence":"additional","affiliation":[{"name":"Fondazione Filarete, 20139 Milan, Italy"},{"name":"Dipartimento di Scienze della Salute, Universit\u00e0 degli Studi di Milano, 20146 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8646-5463","authenticated-orcid":false,"given":"Laia","family":"Subirats","sequence":"additional","affiliation":[{"name":"Unit of Digital Health, Eurecat, Centre Tecnol\u00f2gic de Catalunya, 08290 Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julia","family":"Bauz\u00e1-Martinez","sequence":"additional","affiliation":[{"name":"Proteomics Platform, Parc Cient\u00edfic de Barcelona, 08028 Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonia","family":"Odena","sequence":"additional","affiliation":[{"name":"Proteomics Platform, Parc Cient\u00edfic de Barcelona, 08028 Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7371-3624","authenticated-orcid":false,"given":"Manuela","family":"Ferrario","sequence":"additional","affiliation":[{"name":"Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2978-1704","authenticated-orcid":false,"given":"Giuseppe","family":"Baselli","sequence":"additional","affiliation":[{"name":"Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Federico","family":"Aletti","sequence":"additional","affiliation":[{"name":"Instituto de Ci\u00eancia e Tecnologia, Universidade Federal de S\u00e3o Paulo (UNIFESP), S\u00e3o Paulo 12231-280, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7921-7207","authenticated-orcid":false,"given":"Karim","family":"Bendjelid","sequence":"additional","affiliation":[{"name":"Department of Acute Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"on behalf of the Shockomics Consortium","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,9,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"801","DOI":"10.1001\/jama.2016.0287","article-title":"The Third International Consensus 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