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MMP-2 and sTNF-R1 Variability in Patients with Essential Hypertension: 1-Year Follow-Up Study

Núria Carpena1, Esther Roselló-Lletí, Jose R Calabuig

  • 1Cardiocirculatory Unit, Research Center, Hospital Universitario y Politécnico La Fe, 46009 Valencia, Spain.

ISRN Cardiology
|September 26, 2012
PubMed

Insights

Matrix metalloproteinase-2 (MMP-2) and soluble tumor necrosis factor receptor 1 (sTNF-R1) levels are stable in hypertensive patients over 12 months. This stability suggests their utility in monitoring cardiovascular risk beyond blood pressure control.

Area of Science:

  • Cardiovascular Medicine
  • Biomarker Research
  • Hypertension Management

Background:

  • Matrix metalloproteinase-2 (MMP-2) and soluble tumor necrosis factor receptor 1 (sTNF-R1) are established predictors of cardiovascular events.
  • Stable hypertensive patients require reliable markers for monitoring disease progression and cardiovascular risk.

Purpose of the Study:

  • To analyze the variability of MMP-2 and sTNF-R1 in stable hypertensive patients over a 12-month follow-up period.
  • To assess the reproducibility and stability of MMP-2 and sTNF-R1 measurements in this patient cohort.

Main Methods:

  • A 12-month follow-up study involving 234 asymptomatic patients with essential hypertension.
  • Measurement of MMP-2 and sTNF-R1 at baseline and after 12 months.
  • Statistical analysis using the Bland-Altman method to assess reproducibility and correlation.

Main Results:

  • MMP-2 and sTNF-R1 demonstrated good reproducibility with coefficients of reproducibility of 8.2% and 11.3%, respectively.
  • High percentages of patients (93.6% for MMP-2, 92.7% for sTNF-R1) fell within expected variation ranges.
  • Strong positive correlations were found between baseline and 12-month measurements for both MMP-2 (r=0.55) and sTNF-R1 (r=0.75), both P < 0.0001.

Conclusions:

  • MMP-2 and sTNF-R1 levels exhibit good stability in patients with stable hypertension over a 12-month period.
  • These biomarkers can serve as valuable tools for monitoring patient follow-up and cardiovascular risk.
  • Variations exceeding established thresholds may signal increased cardiovascular risk, aiding in treatment optimization beyond blood pressure control.

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