Clinical Physiology of Circulation

ISSN 1814-6910 (Print)
ISSN 2410-9134 (Online)

 

Chief Editor

Leo A. Bockeria, MD, PhD, DSc, Professor, Academician of Russian Academy of Sciences, President of Bakoulev National Medical Research Center for Cardiovascular Surgery


Issue's catalogue ➤ КФК. 2021; 18 (1): 1-92 ➤ Периоперационная геномика: методологические подходы, генетическая вариабельность и ответ на операционную травму. Часть 1

Perioperative genomics: methodological approaches, genetic variability and response to surgical injury. Part 1

Authors: Koksheneva I.V., Zakaraya I.T.

Company:
Bakoulev National Medical Research Center for Cardiovascular Surgery, Moscow, 121552, Russian Federation

E-mail: Сведения доступны для зарегистрированных пользователей.

DOI: https://doi.org/10.24022/1814-6910-2021-18-1-5-15

UDC: 576.315.42-089

Link: Clinical Physiology of Blood Circulaiton. 2021; 1 (18): 5-15

Quote as: Koksheneva I.V., Zakaraya I.T. Perioperative genomics: methodological approaches, genetic variability and response to surgical injury. Part 1. Clinical Physiology of Circulation. 2021; 18 (1): 5–15 (in Russ.). DOI: 10.24022/1814-6910-2021-18-1-5-15

Keywords:  perioperative genomics genetic variability expression profile postoperative phenotypes postoperative complications genome proteome metabolome genome-free association studie

Received / Accepted:  22.10.2020 / 03.11.2020

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Abstract

Currently, there is an ever wider translation of genomic technologies into the fields of medicine related to the perioperative management of patients, a new discipline is being formed – perioperative genomics. The introduction of genomic data into clinical practice will make it possible in the long term to identify patients with "vulnerable points", which can become an important aspect of perioperative management (preoperative preparation of organs and systems for the forthcoming operation, postoperative monitoring). And also provide additional information for choosing a treatment method (endovascular intervention, surgery on a beating heart or using extracorporeal circulation), choosing the type of coronary conduit, choosing the optimal drug therapy regimen in the postoperative period. To integrate the results of genetic studies into clinical practice, clinicians must understand the patterns of changes in the human genome, the principles of analysis of gene expression. The article discusses general genetic/genomic concepts, highlights the current and future possibilities of using genomic technologies to stratify perioperative risk, predict the results of surgical treatment, and identify new directions for perioperative organ protection.

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****
  1. Podgoreanu M.V., Schwinn D.A. New paradigms in cardiovascular medicine: emerging technologies and practices: perioperative genomics. J. Am. Coll. Cardiol. 2005; 46 (11): 1965–77. DOI: 10.1016/j.jacc.2005. 08.040
  2. Nagele P. Perioperative genomics. Best. Pract. Res. Clin. Anaesthesiol. 2011; 25 (4): 549–55. DOI: 10.1016/j.bpa.2011.09.001
  3. Buziashvili Yu.I., Koksheneva I.V., Abukov S.T., Sandukhadze B.R. The value of genetic polymorphism of inflammatory response mediators in the development of complications after cardiac surgery (literature review). Cardiology and Cardiovascular Surgery. 2016; 9 (1): 13—9 (in Russ.).
  4. Sigurdsson M.I., Muehlschlegel J.D. Perioperative genomics: coming soon to (operating) theatres near you. Can. J. Anaesth. 2016; 63 (4): 382–5. DOI: 10.1007/s12630-015-0577-7
  5. Gabriel R.A., Burton B.N., Urman R.D., Waterman R.S. Genomics testing and personalized medicine in the preoperative setting. Surg. Oncol. Clin. N. Am. 2020; 29 (1): 73–86. DOI: 10.1016/j.soc.2019.08.006
  6. Bain C.R., Shaw A.D. Genetics and epigenetics in perioperative medicine. Curr. Opin. Crit. Care. 2012; 18 (5): 548–54. DOI: 10.1097/MCC.0b013e328357af6d
  7. Muehlschlegel J.D., Perry T.E., Liu K.-Yu., Fox A.A., Collard Ch.D., Shernan S.K., Body S.C. Heart-type fatty acid binding protein is an independent predictor of death and ventricular dysfunction after coronary artery bypass graft surgery. Anesth. Analg. 2010; 111 (5): 1101–9. DOI: 10.1213/ANE.0b013e3181dd9516
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  9. Kessler C. Genomics and precision medicine: implications for critical care. AACN Adv. Crit. Care. 2018; 29 (1): 28–35. DOI: 10.4037/aacnacc2018521 10. Feezor R.J., Baker H.V., Xiao W., Lee W.A., Huber T.S., Mindrinos M. et al. Genomic and proteomic determinants of outcome in patients undergoing thoracoabdominal aortic aneurysm repair. J. Immunol. 2004; 172 (11): 7103–9. DOI: 10.4049/jimmunol.172.11.7103
  10. Tomic V., Russwurm S., Möller E., Claus R.A., Blaess M., Brunkhorst F. et al. Transcriptomic and proteomic patterns of systemic inflammation in on-pump and off-pump coronary artery bypass grafting. Circulation. 2005; 112 (19): 2912–20. DOI: 10.1161/CIRCULATIONAHA.104.531152
  11. Sehl P.D., Tai J.T., Hillan K.J., Brown L.A., Goddard A., Yang R., Lowe D.G. Application of cDNA microarrays in determining molecular phenotype in cardiac growth, development, and response to injury. Circulation. 2000; 101 (16): 1990–9. DOI: 10.1161/01.cir.101.16.1990
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  13. Ruel M., Bianchi C., Khan T.A., Xu S., Liddicoat J.R., Voisine P. et al. Gene expression profile after cardiopulmonary bypass and cardioplegic arrest. J. Thorac. Cardiovasc. Surg. 2003; 126 (5): 1521–30. DOI: 10.1016/s0022-5223(03)00969-3
  14. Sergeev P., da Silva R., Lucchinetti E., Zaugg K., Pasch T., Schaub M.C., Zaugg M. Trigger-dependent gene expression profiles in cardiac preconditioning: evidence for distinct genetic programs in ischemic and anesthetic preconditioning. Anesthesiology. 2004; 100 (3): 474–88. DOI: 10.1097/00000542-200403000-00005
  15. Lucchinetti E., Aguirre J., Feng J., Zhu M., Suter M., Spahn D.R. et al. Molecular evidence of late preconditioning after sevoflurane inhalation in healthy volunteers. Anesth. Analg. 2007; 105 (3): 629–40. DOI: 10.1213/01.ane.0000278159.88636.aa
  16. Kalenka A., Hinkelbein J., Feldmann R.E., Kuschinsky W., Waschke K.F., Maurer M.H. The effects of sevoflurane anesthesia on rat brain proteins: a proteomic time-course analysis. Anesth. Analg. 2007; 104 (5): 1129–35. DOI: 10.1213/01.ane.0000260799.37107.e6
  17. Sheikh A.M., Barrett C., Villamizar N., Alzate O., Miller S., Shelburne J. et al. Proteomics of cerebral injury in a neonatal model of cardiopulmonary bypass with deep hypothermic circulatory arrest. J. Thorac. Cardiovasc. Surg. 2006; 132 (4): 820–8. DOI: 10.1016/j.jtcvs.2006.07.002
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  27. Kalenka A., Feldmann R.E., Otero K., Maurer M.H., Waschke K.F., Fiedler F. Changes in the serum proteome of patients with sepsis and septic shock. Anesth. Analg. 2006; 103 (6): 1522–6. DOI: 10.1213/01.ane.0000242533.59457.70
  28. Koksheneva I.V. Systemic and genetic approaches in cardiovascular medicine: opportunities and perspectives. Bulletin of Bakoulev Center. Cardiovascular Deseases. 2018; 19 (4): 439–46 (in Russ.). DOI: 10.24022/1810-0694-2018-19-4-439-446

About Authors

  • Inna V. Koksheneva, Dr. Med. Sc., Senior Researcher; ORCID
  • Irakliy T. Zakaraya, Junior Researcher

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