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Possible involvement of cytokines in diffuse intravascular coagulation and thrombosis

C T Esmon1

  • 1Howard Hughes Medical Institute, Oklahoma Medical Research Foundation, Oklahoma City 73104.

Bailliere'S Clinical Haematology
|September 1, 1994
PubMed

Insights

Inflammation impacts blood coagulation, but the reverse is less understood. This review explores how inflammation and coagulation are linked, focusing on cytokine effects and in vitro to in vivo predictions.

Area of Science:

  • Biomedical Science
  • Hematology
  • Immunology

Background:

  • Cytokines, key inflammatory mediators, significantly influence the coagulation system.
  • The reciprocal relationship, specifically how coagulation affects inflammation, requires further elucidation.
  • Existing research often focuses on specific cytokine-coagulation interactions, with limited scope on broader systemic effects.

Purpose of the Study:

  • To explore potential models linking inflammation and the coagulation system.
  • To analyze instances where in vitro findings accurately predict in vivo phenomena.
  • To discuss ambiguities in the current understanding of the inflammation-coagulation interplay.

Main Methods:

  • Review of existing literature on cytokine-coagulation interactions.
  • Analysis of in vitro studies and their correlation with in vivo observations.
  • Focus on specific coagulation components and pathways based on author expertise.

Main Results:

  • Cytokines demonstrably affect components of the coagulation cascade.
  • In vitro studies provide valuable insights but do not always translate to in vivo predictions.
  • The bidirectional communication between inflammation and coagulation remains complex and partially understood.

Conclusions:

  • The interplay between inflammation and coagulation is intricate, with cytokines playing a significant role.
  • Further research is needed to clarify the influence of the coagulation system on inflammatory processes.
  • A comprehensive understanding requires integrating in vitro and in vivo data, acknowledging current limitations.

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