Skip to main content
Log in

Early Prediction of Sepsis Incidence in Critically Ill Patients Using Specific Genetic Polymorphisms

  • Review
  • Published:
Biochemical Genetics Aims and scope Submit manuscript

Abstract

Several diagnostic methods for the evaluation and monitoring were used to find out the pro-inflammatory status, as well as incidence of sepsis in critically ill patients. One such recent method is based on investigating the genetic polymorphisms and determining the molecular and genetic links between them, as well as other sepsis-associated pathophysiologies. Identification of genetic polymorphisms in critical patients with sepsis can become a revolutionary method for evaluating and monitoring these patients. Similarly, the complications, as well as the high costs associated with the management of patients with sepsis, can be significantly reduced by early initiation of intensive care.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Abbreviations

ICU:

Intensive care unit

HLA:

Human leukocyte Antigen

NF-kB:

Nuclear transcription factor kappa B

TNF-α:

Tumor necrosis factor alpha

IL-6:

Interleukin 6

IL-1β:

Interleukin 1 beta

IL-1:

Interleukin 1

IFN-γ:

Interferon gamma

MODS:

Multile organ dysfunctions syndrome

TLR:

Tol-like receptors

SIRS:

Systeic inflammatory response syndrome

MODS:

Muliple organ dysfunction syndrome

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexandru Florin Rogobete.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

David, V.L., Ercisli, M.F., Rogobete, A.F. et al. Early Prediction of Sepsis Incidence in Critically Ill Patients Using Specific Genetic Polymorphisms. Biochem Genet 55, 193–203 (2017). https://doi.org/10.1007/s10528-016-9785-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10528-016-9785-2

Keywords

Navigation