Literature DB >> 24090304

The 372 T/C genetic polymorphism of TIMP-1 as a biomarker of mortality in patients with sepsis.

Leonardo Lorente, Maria M Martín.   

Abstract

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Year:  2013        PMID: 24090304      PMCID: PMC4014811          DOI: 10.1186/cc13037

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


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In the previous issue of Critical Care, Behnes and colleagues [1] provide an interesting commentary on our study showing that septic patients with the T-allele in 372 T/C (rs4898) genetic polymorphism of the tissue inhibitor of metalloproteinase-1 (TIMP-1) had higher mortality and higher TIMP-1 serum levels than those without it [2]. As the authors state in their commentary, our study had some limitations. One limitation was the relatively small sample size to establish prognostic implications by only one single-nucleotide polymorphism (SNP) challenge. However, the sample size was large enough to find an association between polymorphism and survival. Another limitation was that we tested only the rs4898 SNP, a tag SNP, for the region of interest. However, it may be that this SNP, which is in strong linkage disequilibrium with other TIMP-1 polymorphisms, is linked to other SNPs associated with the same effect. Another possibility is that this association represents only an epiphenomenon since, in our study, a cause-effect relationship between polymorphism and mortality was not established. However, we found that patients with the T-allele had higher TIMP-1 serum levels and that patients with higher TIMP-1 circulating levels showed higher mortality [3,4]. Besides, we found a positive association between TIMP-1 and plasminogen activator inhibitor-1 circulating levels, previously found in myocardial infarction patients [5], probably suggesting a prothrombotic state. In conclusion, we think that the determinations of 372 T/C genetic polymorphism and circulating levels of TIMP-1 could be used as mortality biomarkers in patients with sepsis.

Abbreviations

SNP: Single-nucleotide polymorphism; TIMP: Tissue inhibitor of matrix metalloproteinase.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

LL drafted the manuscript and MMM reviewed it. Both authors read and approved the final manuscript.
  5 in total

1.  Tissue inhibitor of metalloproteinase-1 (TIMP-1) is an independent predictor of all-cause mortality, cardiac mortality, and myocardial infarction.

Authors:  Erdal Cavusoglu; Cyril Ruwende; Vineet Chopra; Sunitha Yanamadala; Calvin Eng; Luther T Clark; David J Pinsky; Jonathan D Marmur
Journal:  Am Heart J       Date:  2006-05       Impact factor: 4.749

2.  Matrix-metalloproteinases and their inhibitors are elevated in severe sepsis: prognostic value of TIMP-1 in severe sepsis.

Authors:  Ursula Hoffmann; Thomas Bertsch; Eszter Dvortsak; Claudia Liebetrau; Siegfried Lang; Volker Liebe; Guenter Huhle; Martin Borggrefe; Martina Brueckmann
Journal:  Scand J Infect Dis       Date:  2006

3.  Matrix metalloproteinase-9, -10, and tissue inhibitor of matrix metalloproteinases-1 blood levels as biomarkers of severity and mortality in sepsis.

Authors:  Leonardo Lorente; María M Martín; Lorenzo Labarta; César Díaz; Jordi Solé-Violán; José Blanquer; Josune Orbe; José A Rodríguez; Alejandro Jiménez; Juan M Borreguero-León; Felipe Belmonte; Juan C Medina; Maria C Llimiñana; José M Ferrer-Agüero; José Ferreres; María L Mora; Santiago Lubillo; Manuel Sánchez; Ysamar Barrios; Antonio Sierra; José A Páramo
Journal:  Crit Care       Date:  2009-10-02       Impact factor: 9.097

4.  The 372 T/C genetic polymorphism of TIMP-1 is associated with serum levels of TIMP-1 and survival in patients with severe sepsis.

Authors:  Leonardo Lorente; Mar Martín; Fátima Plasencia; Jordi Solé-Violán; José Blanquer; Lorenzo Labarta; César Díaz; Juan María Borreguero-León; Alejandro Jiménez; José Antonio Páramo; Josune Orbe; José A Rodríguez; Eduardo Salido
Journal:  Crit Care       Date:  2013-05-25       Impact factor: 9.097

5.  TIMP-1 gene polymorphism: are genetics able to predict outcome of septic patients?

Authors:  Michael Behnes; Thomas Bertsch; Ursula Hoffmann
Journal:  Crit Care       Date:  2013-07-17       Impact factor: 9.097

  5 in total

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