Literature DB >> 15711569

p53-dependent ICAM-1 overexpression in senescent human cells identified in atherosclerotic lesions.

Vassilis G Gorgoulis1, Harris Pratsinis, Panayotis Zacharatos, Catherine Demoliou, Fragiska Sigala, Panayiotis J Asimacopoulos, Athanasios G Papavassiliou, Dimitris Kletsas.   

Abstract

Most normal somatic cells enter a state called replicative senescence after a certain number of divisions, characterized by irreversible growth arrest. Moreover, they express a pronounced inflammatory phenotype that could contribute to the aging process and the development of age-related pathologies. Among the molecules involved in the inflammatory response that are overexpressed in senescent cells and aged tissues is intercellular adhesion molecule-1 (ICAM-1). Furthermore, ICAM-1 is overexpressed in atherosclerosis, an age-related, chronic inflammatory disease. We have recently reported that the transcriptional activator p53 can trigger ICAM-1 expression in an nuclear factor-kappa B (NF-kappaB)-independent manner (Gorgoulis et al, EMBO J. 2003; 22: 1567-1578). As p53 exhibits an increased transcriptional activity in senescent cells, we investigated whether p53 activation is responsible for the senescence-associated ICAM-1 overexpression. To this end, we used two model systems of cellular senescence: (a) human fibroblasts and (b) conditionally immortalized human vascular smooth muscle cells. Here, we present evidence from both cell systems to support a p53-mediated ICAM-1 overexpression in senescent cells that is independent of NF-kappaB. We also demonstrate in atherosclerotic lesions the presence of cells coexpressing activated p53, ICAM-1, and stained with the senescence-associated beta-galactosidase, a biomarker of replicative senescence. Collectively, our data suggest a direct functional link between p53 and ICAM-1 in senescence and age-related disorders.

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Year:  2005        PMID: 15711569     DOI: 10.1038/labinvest.3700241

Source DB:  PubMed          Journal:  Lab Invest        ISSN: 0023-6837            Impact factor:   5.662


  43 in total

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