Plasma Matrix Metalloproteinase-9 and Tissue Inhibitor of Matrix Metalloproteinase-1 as Prognostic Biomarkers in

Izabela Duda1, Łukasz Krzych2, Halina Jędrzejowska-Szypułka3

  • 1Medical University of Silesia School of Medicine in Katowice, Katowice, Poland.

Insights

Tissue inhibitor of metalloproteinase 1 (TIMP-1) levels were higher in non-survivors of critical illness. While matrix metalloproteinase 9 (MMP-9) and the MMP-9/TIMP-1 ratio showed correlations, further research is needed for their use as prognostic biomarkers in intensive care unit (ICU) patients.

Area of Science:

  • Biochemistry
  • Critical Care Medicine
  • Pathophysiology

Background:

  • Matrix metalloproteinase 9 (MMP-9) facilitates leukocyte migration in inflammatory and pathological processes.
  • MMP-9 and its inhibitor, tissue inhibitor of metalloproteinase 1 (TIMP-1), are potential prognostic biomarkers.
  • Critical illness, particularly multiple organ failure, presents challenges in predicting patient outcomes.

Purpose of the Study:

  • To evaluate plasma MMP-9 and TIMP-1 levels and their ratio for predicting outcomes in intensive care unit (ICU) patients.
  • To assess the correlation of MMP-9 and TIMP-1 with clinical parameters in critically ill patients.

Main Methods:

  • Plasma MMP-9 and TIMP-1 levels were measured in 56 critically ill patients with multiple organ failure on days 1, 2, 3, and 7 of hospitalization.
  • Statistical analysis was performed to compare levels between survivors and non-survivors and to identify correlations with clinical data.

Main Results:

  • Non-survivors had significantly higher TIMP-1 levels on days 1 and 7 (p=0.01).
  • MMP-9 levels were higher in non-survivors only on day 7.
  • The MMP-9/TIMP-1 ratio correlated positively with lactate and negatively with platelet count; TIMP-1 correlated positively with lactate.

Conclusions:

  • Elevated TIMP-1 levels may indicate a poorer prognosis in ICU patients.
  • While MMP-9 and the MMP-9/TIMP-1 ratio show associations with critical illness parameters, their reliability as early prognostic biomarkers requires further investigation.

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