{"id":38,"date":"2018-09-11T12:02:28","date_gmt":"2018-09-11T12:02:28","guid":{"rendered":"http:\/\/www.shockomics.deib.polimi.it\/?page_id=38"},"modified":"2020-01-27T13:26:03","modified_gmt":"2020-01-27T13:26:03","slug":"results","status":"publish","type":"page","link":"https:\/\/www.shockomics.deib.polimi.it\/?page_id=38","title":{"rendered":"Publications and Dissemination"},"content":{"rendered":"
    \n
  1. D. Braga, M. Barcella, A. Herpain, F. Aletti, E.B. Kistler, B. Bollen Pinto, K. Bendjelid, C. Barlassina (2019), “A longitudinal study highlights shared aspects of the transcriptomic response to cardiogenic and septic shock”<\/strong>,\u00a0Critical Care 2019: 23, 414.\u00a0doi:10.1186\/s13054-019-2670-8<\/a>.<\/span><\/li>\n
  2. M. Carrara,\u00a0A. Herpain, G. Baselli, \u00a0M.Ferrario (2019), “A mathematical model of dP\/dt max for the evaluation of the dynamic control of heart contractility in septic shock”<\/strong>, \u00a0IEEE Transactions on Biomedical Engineering, doi:\u00a010.1109\/TBME.2019.2894333<\/a><\/li>\n
  3. M. Ferrario, L. Brunelli, F. Su, A. Herpain, R. Pastorelli (2019), \u201c<\/strong>The systemic alterations of lipids, alanine-glucose cycle and inter-organ amino acid metabolism in swine model confirms the role of liver in early phase of septic shock\u201d.<\/strong>\u00a0Front. Physiol. doi: 10.3389\/fphys.2019.00011<\/a><\/li>\n
  4. M. Barcella,\u00a0B. Bollen Pinto, D. Braga, F. D\u2019Avila, F. Tagliaferri, M.A.\u00a0Cazalis, G.\u00a0Monneret, A.Herpain, K.\u00a0Bendjelid, C. Barlassina (2018), \u201cIdentification of a transcriptome profile associated with improvement of organ function in septic shock patients after early supportive therapy\u201d<\/strong>, Critical Care 2018, 22:312.\u00a0doi:10.1186\/s13054-018-2242-3<\/span><\/a><\/li>\n
  5. J.Bauz\u00e1-Martinez, F.Aletti, B.B.Pinto, V.Ribas, M.A.Odena, R.D\u00edaz, E.Romay, R.Ferrer, E.B.Kistler, G.Tedeschi, G.W.Schmid-Sch\u00f6nbein, A.Herpain, K.Bendjelid, E.de Oliveira (2018), “Proteolysis in septic shock patients: plasma peptidomic patterns are associated with mortality”, <\/strong>British Journal of Anaesthesia.\u00a0121(5):1065-1074.\u00a0<\/span>DOI: <\/span>10.1016\/j.bja.2018.05.072<\/a><\/li>\n
  6. M. Carrara, G.Babini, G. Baselli, G. Ristagno, R. Pastorelli, L. Brunelli, M. Ferrario (2018), \u201cBlood pressure variability, heart functionality and left ventricular tissue alterations in a protocol of severe hemorrhagic shock and resuscitation\u201d<\/strong>, J Appl Physiol 125: 1011\u20131020, 2018. doi: 10.1152\/japplphysiol.00348.2018<\/a><\/li>\n
  7. A. Cambiaghi, R. D\u00edaz, J. Bauz\u00e1; A. Odena, L. Brunelli, P Caironi, S. Masson, G. Baselli, G. Ristagno, L Gattinoni, E. de Oliveira, R. Pastorelli, M Ferrario (2018), \u201cIntegration of metabolomics and proteomics data for early mortality prediction in severe septic shock patients\u201d<\/strong>, Scientific Reports 8, 6681 (2018). doi:10.1038\/s41598-018-25035-1<\/a><\/li>\n
  8. M. Carrara, B. Pinto Bollen, G. Baselli, K. Bendjelid, M. Ferrario (2017) \u201cBaroreflex sensitivity and blood pressure variability can help in understanding the different response to therapy during acute phase of septic shock\u201d,<\/strong> Shock (Augusta, Ga.). doi: 10.1097\/SHK.0000000000001046<\/a><\/li>\n
  9. A. Cambiaghi, B Bollen Pinto, L. Brunelli, F Falcetta, F Aletti , K. Bendjelid , R. Pastorelli, M. Ferrario (2017) \u201cCharacterization of a metabolomic profile associated with responsiveness to therapy in the acute phase of septic shock\u201d<\/strong>, Scientific reports, 7(1), 9748. doi:10.1038\/s41598-017-09619-x<\/a><\/li>\n
  10. B. Bollen Pinto, C. Ritter, M. Michels, N. Gambarotta, M. Ferrario, F. Dal-Pizzol, M. Singer, (2017) \u201cCharacterization of brain-heart interactions in a rodent model of sepsis\u201d<\/strong>, Molecular neurobiology, 54(3), pp.3745-3752, doi: 10.1007\/s12035-016-9941-z<\/a>.<\/li>\n
  11. M. Lavanga, G. Baselli, F. Fumagalli, G. Ristagno, M. Ferrario (2016) \u201cThe possible role of the vagal nervous system in the recovery of the blood pressure control after cardiac arrest: a porcine model study\u201d<\/strong>, Physiological Measurement, 38 (1), pp 63-76.\u00a0DOI: <\/span>10.1088\/1361-6579\/38\/1\/63<\/a><\/li>\n
  12. A. Cambiaghi, M. Ferrario, M. Masseroli (2016), \u201cAnalysis of metabolomic data: tools, current strategies and future challenges for omics data integration\u201d<\/strong>, Briefings in Bioinformatics, 18(3), 1 May 2017, pp: 498-510.\u00a0DOI: <\/span>10.1093\/bib\/bbw031<\/a><\/li>\n
  13. N. Gambarotta, G. Baselli, F. Aletti, M. Ferrario (2016), \u201cA review of methods for the signal quality assessment to improve reliability of heart rate and blood pressures derived parameters\u201d<\/strong>, Medical & Biological Engineering & Computing, 54(7): pp. 1025-1035, doi: 10.1007\/s11517-016-1453-5<\/a><\/li>\n
  14. M. Ferrario, A. Cambiaghi, L. Brunelli, S. Giordano, P. Caironi, L. Guatteri, F. Raimondi, L. Gattinoni, R. Latini, S. Masson, G. Ristagno, R. Pastorelli (2016) \u201cMortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach\u201d<\/strong>, Scientific Reports, 6: 20391. doi:10.1038\/srep20391.<\/a><\/li>\n
  15. F. Aletti, C. Conti, M. Ferrario, V. Ribas, B. Bollen Pinto, A. Herpain, E. Post, E. Romay Medina, C. Barlassina, E. de Oliveira, R. Pastorelli, G. Tedeschi, G.Ristagno, F.S. Taccone, G.W. Schmid-Sch\u00f6nbein, R. Ferrer, D. De Backer, K.Bendjelid, G. Baselli (2016), \u201cShockOmics: multiscale approach to the identification of molecular biomarkers in acute heart failure induced by shock\u201d<\/strong>, Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 24:9.\u00a0DOI: <\/span>10.1186\/s13049-016-0197-4<\/a><\/li>\n
  16. Aletti, N. Gambarotta, A. H Penn, M. Ferrario, Geert W Schmid-Sch\u00f6nbein (2015), \u201cHeart period and blood pressure characteristics in splanchnic arterial occlusion shock-induced collapse\u201d<\/strong>, J Clin Monit Comput. 2017 Feb;31(1):167-175, doi: 10.1007\/s10877-015-9813-5<\/a><\/li>\n
  17. M. Carrara, G. Baselli, M. Ferrario (2015), \u201cMortality prediction model of septic shock patients based on routinely recorded data\u201d<\/strong>, Computational and Mathematical Methods in Medicine, vol. 2015, Article ID 761435.\u00a0DOI: <\/span>10.1155\/2015\/761435<\/a><\/li>\n
  18. H. Santamaria et al. (2017) “Enteral tranexamic acid attenuates vasopressor resistance and changes in \u03b11-adrenergic receptor expression in hemorrhagic shock.”<\/strong>Journal of Trauma and Acute Care Surgery<\/em>\u00a083.2 (2017): 263-270. doi:10.1097\/TA.0000000000001513<\/a><\/li>\n
  19. D. Braga, et al. “Preliminary profiling of blood transcriptome in a rat model of hemorrhagic shock”<\/strong> Experimental Biology and Medicine 242.14 (2017): 1462-1470.\u00a0 doi: 10.1177\/1535370217717978<\/span><\/a><\/li>\n
  20. F. Aletti, E. Maffioli, A. \u00a0Negri, M.H. Santamaria, F.A. DeLano, E. Kistler, G.W. Schmid-Sch\u00f6nbein, G. Tedeschi (2016) “Peptidomic analysis of rat plasma: proteolysis in hemorrhagic shock.”<\/strong> Shock (Augusta, Ga.) 45.5: 540. doi: 10.1097\/SHK.0000000000000532<\/li>\n<\/ol>\n

    Other dissemination activities<\/strong><\/p>\n

      \n
    1. Cardiovascular variability and intra-surgical monitoring of autonomic control<\/strong>, 3rd International Conference on Computational & Mathematical Biomedical Engineering. Hong-Kong, 16-18 December 2013.<\/li>\n
    2. Baroreflex sensitivity during intestinal ischemia, Experimental Biology<\/strong>. Experimental Biology, San Diego (USA), 26-30 April 2014<\/li>\n
    3. Continuous blood pressure assessment from a photoplethysmographic signal with Deep Belief Networks<\/strong>.\u00a0Experimental Biology, San Diego (USA), 26-30 April 2014.<\/li>\n
    4. Baroreflex sensitivity during shock induced by intestinal ischemia<\/strong>. Annual Conference of the IEEE Engineering in Medicine and Biology Society, Chicago (USA) August 26-30, 2014<\/li>\n
    5. Critical analysis of cardiovascular variability as a tool for studying autonomic nervous system<\/strong>, Symposium on Autonomic neural regulation of the immune system. Sao Paolo (Brazil), 11 August 2014.<\/li>\n
    6. Assessment of Electrocardiograms with Pretraining and Shallow Networks, <\/strong>Computing in Cardiology. Boston (USA), 7-10 September\u00a02014<\/li>\n
    7. ProteoSepsis: Proteomic analysis of plasma proteins during the course of sepsis<\/strong>. Human proteome Organization World Congress. Madrid (Spain). 5-8 October 2014<\/li>\n
    8. Effect of digestive enzyme inhibition in the intestine on protease activity levels in the heart in hemorrhagic shock. <\/strong>38th<\/sup> Annual Conference on Shock. Denver (USA). June 6 – 9, 2015.<\/li>\n
    9. Peptidome characterization of plasma samples from healthy and hemorrhagic-shock rats. <\/strong>European Proteomics Association. Milano (Italy) 23-28 June 2018<\/li>\n
    10. Mortality prediction model of septic shock patients based on routinely recorded data. <\/strong>37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 25-29 2015<\/li>\n
    11. Metabolite analysis in sepsis through conditional independence maps. <\/strong>37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 25-29 2015<\/li>\n
    12. Proteomic analysis of plasma peptidome in healthy and hemorrhagic-shock rats. <\/strong>58th National Meeting of the Italian Society of Biochemistry and Molecular Biology (SIB) \u2013 Urbino, September 14-16<\/li>\n
    13. Target metabolomics for improving early prediction of death in patients with septic shock.<\/strong> 16th Congress of the EUROPEAN SHOCK SOCIETY (ESS), Cologne, Germany, 24-26 September 2015<\/li>\n
    14. Peptidomics of plasma in shock, <\/strong>Riunione dei biochimici dell’area Milanese, Gargnano, Italy. 20-22 March 2016.<\/li>\n
    15. Plasma peptidome in hemorragic shock.<\/strong> Bologna, Italy. 30 March-1 April 2016<\/li>\n
    16. A classification model based on metabolomics and proteomics for acute traumatic coagulopathy patients: a feasibility study<\/strong>. 39th<\/sup> Annual Conference on Shock. Austin (USA). June 11 – 14, 2016.<\/li>\n
    17. Metabolomic state as early indicator of organ worsening in septic shock patients: feasibility study for small data sample.<\/strong> 12th Annual Conference of the Metabolomics Society, Dublin, 27-30 June 2016<\/li>\n
    18. Multiscale modelling of mortality risk in a septic shock population<\/strong>. V Congresso del Gruppo Nazionale di Bioingegneria. Naples (Italy). 20-22June 2016<\/li>\n
    19. Advancement of the ShockOmics EC Project<\/strong>. 15th<\/sup> International Conference on Complex Acute Illness. Pasadena(USA). August 10-14, 2016<\/li>\n
    20. Baroreflex analysis in the recovery after cardiac arrest in a porcine model. <\/strong>15th<\/sup> International Conference on Complex Acute Illness. Pasadena(USA). August 10-14, 2016<\/li>\n
    21. Merging physiological and statistical models for a better understanding of shock. <\/strong>15th<\/sup> International Conference on Complex Acute Illness. Pasadena(USA). August 10-14, 2016.<\/li>\n
    22. Proteomic analysis of plasma peptidome in healthy and hemorrhagic-shock rats<\/strong>. 16th Congress of the EUROPEAN SHOCK SOCIETY (ESS), Cologne, Germany, 24-26 September 2015<\/li>\n
    23. Autonomic nervous system indices in the progression of organ failure in early septic shock patients. <\/strong>15th<\/sup> International Conference on Complex Acute Illness. Pasadena(USA). August 10-14, 2016.<\/li>\n
    24. Association between autonomic imbalance and recovery of organ function in early septic shock.<\/strong> ESICM LIVES 2016, Milano, Italy. 1-5 October 2016.<\/li>\n
    25. Transcriptomic profile in septic shock patients: a preliminary analysis<\/strong>. S. Paolo Hospital \u2013 Milan (Italy), November 11, \u00a02016<\/li>\n
    26. Peptidomic characterization of plasma samples: effects of tranexamic acid against proteolysis in hemorrhagic shock<\/strong>. 7th Proteonet Meeting, Proteomics in Drug Discovery. Milan (Italy). 11 May 2017<\/li>\n
    27. Different response to therapy in septic shock: an autonomic perspective<\/strong>. 40th Annual Conference on Shock, Fort Laurendale, FL, USA. June 3 – 6, 2017.<\/li>\n
    28. Preliminary analysis of transcriptomic modifications in septic shock patients at multiple time points. <\/strong>40th Annual Conference on Shock, Fort Laurendale, FL, USA. June 3 – 6, 2017.<\/li>\n
    29. Responsiveness to therapy in the acute phase of septic shock: a metabolomics analysis.<\/strong> 40th Annual Conference on Shock, Fort Laurendale, FL, USA. June 3 – 6, 2017<\/li>\n
    30. Peptidomic analysis of rat plasma: effects of tranexamic acid against proteolysis in hemorrhagic shock. <\/strong>Riunione dei biochimici dell’area Milanese, Gargnano, Italy. 25-27 June 2017<\/li>\n
    31. Metabolomic state as early indicator of responsiveness to therapy in the acute phase of septic shock<\/strong>. 16th International Conference on Complex Acute Illness, Milano (Italy). 27-29 July 2017<\/li>\n
    32. The role of fluid accumulation in early septic shock: differences in ANS- <\/strong>\u2028<\/strong>driven response to therapy.<\/strong> 16th International Conference on Complex Acute Illness, Milano (Italy). 27-29 July 2017<\/li>\n
    33. Autodigestion as Mechanism for Multi-Organ Failure in Shock. <\/strong>16th International Conference on Complex Acute Illness, Milano (Italy). 27-29 July 2017<\/li>\n
    34. Peptidomic characterization of hemorrhagic shock plasma samples: effects <\/strong>\u2028<\/strong>of tranexamic acid. <\/strong>16th International Conference on Complex Acute Illness, Milano (Italy). 27-29 July 2017<\/li>\n
    35. Clustering Shock in the Acute Phase using Graphical Models. <\/strong>16th International Conference on Complex Acute Illness, Milano (Italy). 27-29 July 2017<\/li>\n
    36. Enteral protease inhibition in hemorrhagic shock: effect on autonomic. <\/strong>16th International Conference on Complex Acute Illness, Milano (Italy). 27-29 July 2017<\/li>\n
    37. A porcine model of severe hemorrhagic shock with fluid and blood resuscitation to evaluate plasma peptidomic modifications. <\/strong>16th International Conference on Complex Acute Illness, Milano (Italy). 27-29 July 2017<\/li>\n
    38. Peptidomics: an innovative approach to Study the Auto-digestionhypothesis in Septic Shock <\/strong>\u2028<\/strong> <\/strong>16th International Conference on Complex Acute Illness, Milano (Italy). 27-29 July 2017<\/li>\n
    39. Differential gene expression in septic shock patients according to the early supportive therapy <\/strong>\u2028<\/strong> <\/strong>16th International Conference on Complex Acute Illness, Milano (Italy). 27-29 July 2017<\/li>\n
    40. An in vitro model for cardiogenic and septic shock drug screening using microfluidics. <\/strong>16th International Conference on Complex Acute Illness, Milano (Italy). 27-29 July 2017<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

      D. Braga, M. Barcella, A. Herpain, F. Aletti, E.B. Kistler, B. Bollen Pinto, K. Bendjelid, C. Barlassina (2019), “A longitudinal study highlights shared aspects of the transcriptomic response to cardiogenic and septic shock”,\u00a0Critical Care 2019: 23, 414.\u00a0doi:10.1186\/s13054-019-2670-8. M. Carrara,\u00a0A. Herpain, G. Baselli, \u00a0M.Ferrario (2019), “A mathematical model of dP\/dt max […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.shockomics.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/38"}],"collection":[{"href":"https:\/\/www.shockomics.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.shockomics.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.shockomics.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.shockomics.deib.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=38"}],"version-history":[{"count":23,"href":"https:\/\/www.shockomics.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/38\/revisions"}],"predecessor-version":[{"id":227,"href":"https:\/\/www.shockomics.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/38\/revisions\/227"}],"wp:attachment":[{"href":"https:\/\/www.shockomics.deib.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=38"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}