Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/103321
Title: The Signaling Pathway of TNF Receptors: Linking Animal Models of Renal Disease to Human CKD
Authors: Lousa, Irina
Reis, Flávio 
Santos-Silva, Alice
Belo, Luís
Keywords: CKD; TNF-alpha; TNFR; biomarkers; inflammation
Issue Date: 18-Mar-2022
Project: UIDP/04378/2020 
UIDB/04378/2020 
UIDP/04539/2020 (CIBB) 
PTDC/SAU-NUT/31712/2017 
POCI-01-0145-FEDER-007440 
POCI-01-0145-FEDER-031712, 
SFRH/BD/145939/2019; 
Norte-01-0145-FEDER-000024 
Centro- 01-0145-FEDER-000012 
FEDER/COMPETE 2020 (POCI-01-0145-FEDER-031322) 
Serial title, monograph or event: International Journal of Molecular Sciences
Volume: 23
Issue: 6
Abstract: Chronic kidney disease (CKD) has been recognized as a global public health problem. Despite the current advances in medicine, CKD-associated morbidity and mortality remain unacceptably high. Several studies have highlighted the contribution of inflammation and inflammatory mediators to the development and/or progression of CKD, such as tumor necrosis factor (TNF)-related biomarkers. The inflammation pathway driven by TNF-α, through TNF receptors 1 (TNFR1) and 2 (TNFR2), involves important mediators in the pathogenesis of CKD. Circulating levels of TNFRs were associated with changes in other biomarkers of kidney function and injury, and were described as predictors of disease progression, cardiovascular morbidity, and mortality in several cohorts of patients. Experimental studies describe the possible downstream signaling pathways induced upon TNFR activation and the resulting biological responses. This review will focus on the available data on TNFR1 and TNFR2, and illustrates their contributions to the pathophysiology of kidney diseases, their cellular and molecular roles, as well as their potential as CKD biomarkers. The emerging evidence shows that TNF receptors could act as biomarkers of renal damage and as mediators of the disease. Furthermore, it has been suggested that these biomarkers could significantly improve the discrimination of clinical CKD prognostic models.
URI: http://hdl.handle.net/10316/103321
ISSN: 1422-0067
DOI: 10.3390/ijms23063284
Rights: openAccess
Appears in Collections:I&D CIBB - Artigos em Revistas Internacionais
I&D ICBR - Artigos em Revistas Internacionais

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