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Urine MMP7 as a kidney injury biomarker.
Avello, Alejandro; Guerrero-Mauvecin, Juan; Sanz, Ana Belen.
  • Avello A; Laboratory of Experimental Nephrology, IIS-Fundacion Jimenez Diaz UAM, Madrid, Spain.
  • Guerrero-Mauvecin J; Laboratory of Experimental Nephrology, IIS-Fundacion Jimenez Diaz UAM, Madrid, Spain.
  • Sanz AB; Laboratory of Experimental Nephrology, IIS-Fundacion Jimenez Diaz UAM, Madrid, Spain.
Clin Kidney J ; 17(1): sfad233, 2024 Jan.
Article en En | MEDLINE | ID: mdl-38186894
ABSTRACT
Matrix metalloproteinase 7 (MMP-7) is a secreted endopeptidase involved in the degradation of extracellular matrix components and the activation of cytokines and growth factors. The regulation of MMP-7 can be transcriptionally regulated by AP-1 or Wnt/ß-catenin or post-translationally by proteolytic activation. MMP-7 expression is low or absent in the healthy kidney, but is significantly upregulated in kidney injury, including AKI and CKD. The function of MMP-7 in kidney disease may differ for CKD and AKI; it may have a profibrotic role in CKD and an anti-apoptotic and regenerative function in AKI. Additionally, the potential of MMP-7 as a biomarker has been studied in different kidney diseases, and the results are promising. Recently, combined unbiased kidney proteomics and transcriptomics approaches identified kidney MMP-7 as the protein having the strongest association with both fibrosis and eGFR and confirmed the predictive role of plasma MMP-7 levels for kidney function decline in over 11 000 individuals. Additionally, urinary MMP-7, combined with urinary cystatin C (CysC) and retinol binding protein (RBP) was reported to provide information on tubular injury in focal segmental glomerulosclerosis and minimal change disease. We now present an overview of research on MMP-7 expression and function in kidney diseases and discuss its potential as a biomarker of kidney diseases.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2024 Tipo del documento: Article