Have a personal or library account? Click to login
Precision Medicine and its Role in the Treatment of Sepsis: A Personalised View Cover

Precision Medicine and its Role in the Treatment of Sepsis: A Personalised View

Open Access
|Aug 2019

References

  1. Vea A, Llorente-Cortes V, de Gonzalo-Calvo D. Circular RNAs: a novel tool in cardiovascular biomarker development? Non-coding RNA Investig. 2018; 2:39.
  2. Kertai MD, Li YJ, Li YW et al. Genome-wide association study of perioperative myocardial infarction after coronary artery bypass surgery. BMJ Open. 2015; 6;5(5):e006920 10.1136/bmjopen-2014-006920
  3. Valpione S, Martinoli C, Fava P, Mocellin S, Campana LG, Quaglino P. Personalized medicine: Development and external validation of a prognostic model for metastatic melanoma patients treated with ipilimumab. EJC. 2015; (14): 2086–94.
  4. Molinaro, S, Pieroni S, Mariani F, Liebman M. Personalized medicine: Moving from correlation to causality in breast cancer. European Journal of Molecular & Clinical Medicine. 2015; 2(2): 59.
  5. Stafford-Smith M, Li YJ, Mathew JP et al. Genome-wide association study of acute kidney injury after coronary bypass graft surgery identifies susceptibility loci. Kidney Int. 2015; 88(4):823-32.
  6. Kunin A, PolivkaJr P, Moiseeva N, Golubnitschaja O. Dry mouth and “Flammer” syndromes—neglected risks in adolescents and new concepts by predictive, preventive and personalised approach. EPMA Journal.2018; 9:307-12.
  7. Li X, Seebacher NA, Hornicek FJ, Xiao T, Duan Z. Application of liquid biopsy in bone and soft tissue sarcomas: Present and future. Cancer Let. 2018; 439:66-77.
  8. Maslove MD, Lamontagn L, Marshall JC, Heyland KD. A path to precision in the ICU. Critical Care.2017; 21:79-85.
  9. Food and Drug Administration. Science and Research Drugs,Table of Pharmacogenomicbiomarkers. Available at: https://www.fda.gov/downloads/Drugs/ScienceResearch/UCM578588.pdf
  10. National Research Council. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. Available at https://www.nap.edu/catalog/13284/toward-precision-medicine-building-a-knowledge-network-for-biomedical-research
  11. Topol EJ. Individualized medicine from prewomb to tomb. Cell. 2014; 157(1):241-53.
  12. Sweeney TE, Shidham A, Wong HR, Khatri P. A comprehensive time-course-based multi cohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set. Sci Transl Med. 2015;7(287):287ra71. 10.1126/scitranslmed.aaa5993
  13. Wong HR, Atkinson SJ, Cvijanovich NZ, et al. Combining Prognostic and Predictive Enrichment Strategies to Identify Children With Septic Shock Responsive to Corticosteroids. Crit Care Med. 2016;44(10):e1000–e1003. 10.1097/CCM.0000000000001833
  14. Walley KR, Thain KR, Russell JA, et al. PCSK9 is a critical regulator of the innate immune response and septic shock outcome. Sci Transl Med. 2014;6(258):258ra143. 10.1126/scitranslmed.3008782
  15. Sapru A, Liu KD, Wiemels J et al. Association of common genetic variation in the protein C pathway geneswith clinical outcomes in acute respiratory distress syndrome. Crit Care.2016; 20(1):151.
  16. Russell JA. Genomics and pharmacogenomics of sepsis: so close and yet so far. Crit Care. 2016;1–4.
  17. Calfee CS, Janz DR, Bernard GR et al. Distinct molecular phenotypes of direct vs indirect ARDS in single-center and multicenter studies. Chest. 2015; 147:1539–48.
  18. Weinstein JN, C Collisson EA, Mills GB, Shaw KR, Ozenberger BA, Ellrot K. The cancer Genome Atlas Pan-Cancer analysis project. Nat Genet.2013; 45(10): 1113–20.
  19. Barretina, Caponigro G, Stransky N et al. The Cancer Cell Line Encyclopedia enables predictive modelling of anti-cancer drug sensitivity. Nature. 2012; 483(7391): 603–7.
  20. Garnet MJ, Sys Edelman EJ, Heidorn SJ et al. Systematic identification of genomic markers of drug sensitivity in cancer cells. Nature. 2012; 483(7391): 570–5.
  21. Johnson AEW, Pollard TJ, Shen L, et al. MIMIC-III, a freely accessible critical care database. Sci Data.2016; 3:160035. 10.1038/sdata.2016.35
  22. Shankar-Hari M, Phillips GS, Levy ML et al. Developing a new definition and assessing new clinical criteria for septic shock. JAMA. 2016; 315(8):775–87.
  23. Mayr FB, Yende S, Angus DC. Epidemiology of severe sepsis. Virulence 2014; 5:4–11.
  24. Alberti C, Brun-Buisson C, Chevret S et al. Systemic inflammatory response and progress into severe sepsis in critically ill infected patients. Am J Resp Crit Care Med. 2005; 171:461–8.
  25. King EG, Bauzá GJ, Mella JR, Remick DG. Pathophysiologic mechanisms in septic shock. Lab Invest 2014; 94:4–12.
  26. Katsenos CS, Antonopoulou AN, Apostolidou EN et al. Early administration of hydrocortisone replacement after the advent of septic shock: impact on survival and immune response. Crit Care Med.2014; 42(7):1651–7.
  27. Lv S, Han M, Yi R, Kwon S, Dai C, Wang R. Anti‐TNF‐α therapy for patients with sepsis: a systematic meta‐analysis. Int J ClinPract. 2014; 68(4):520–8.
  28. Shindo Y, Unsinger J, Burnham C-A, Green JM, Hotchkiss RS. Interleukin-7 and anti-programmed cell death 1 antibody have differing effects to reverse sepsis-induced immunosuppression. Shock. 2015; 43(4):334–43.
  29. Kowalska MA, Zhao G, Zhai L et al. Modulation of protein C activation by histones, platelet factor 4, and heparinoids new insights into activated protein C formation. Arterioscler Thromb Vasc Biol.2014; 34:120–6.
  30. Schomburg L. Selenium in sepsis-substitution, supplementation or pro-oxidative bolus? Crit Care. 2014; 18:444. 10.1186/cc13963
  31. Wilson JX. Antioxidants in sepsis. In: Systems biology of free radicals and antioxidants. Springer. 2014: 3267–72.
  32. Lupu F, Keshari RS, Lambris JD, Coggeshall KM. Crosstalk between the coagulation and complement systems in sepsis. Thromb Res. 2014; 133(1):S28–S31.
  33. Hutchins NA, Unsinger J, Hotchkiss RS, Ayala A. The new normal: immunomodulatory agents against sepsis immune suppression. Trends Mol Med. 2014; 20(4):224–33.
  34. Seymour CW, Liu VX, Iwashyna TJ et al. Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA. 2016; 315(8):762-74.
  35. Wong HR, Wheeler DS, Tegtmeyer K, et al. Toward a clinically feasible gene expression-based subclassification strategy for septic shock: proof of concept. Crit Care Med. 2010;38(10):1955–61.
  36. Joehanes R, Zhang X, Huan T, et al. Integrated genome-wide analysis of expression quantitative trait loci aids interpretation of genomic association studies. Genome Biol. 2017;18(1):16.
  37. Seymour CW, Gesten F, Prescott HC, et al. Time to Treatment and Mortality during Mandated Emergency Care for Sepsis. N Engl J Med. 2017;376(23):2235–44.
  38. László I, Trásy D, Molnár Z, Fazakas J. Sepsis: From Pathophysiology to Individualized Patient Care. J Immunol Res. 2015;2015:510436.
DOI: https://doi.org/10.2478/jccm-2019-0017 | Journal eISSN: 2393-1817 | Journal ISSN: 2393-1809
Language: English
Page range: 90 - 96
Submitted on: Apr 14, 2019
Accepted on: Jul 29, 2019
Published on: Aug 9, 2019
Published by: University of Medicine, Pharmacy, Science and Technology of Targu Mures
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Alexandra Lazăr, Anca Meda Georgescu, Alexander Vitin, Leonard Azamfirei, published by University of Medicine, Pharmacy, Science and Technology of Targu Mures
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.