Literature DB >> 15651660

[Functional polymorphism of p53 and CCR5 genes in the long-lived of the Siberian region].

M A Smetannikova, V A Beliavskaia, N A Smetannikova, I V Savkin, D V Denisova, S N Ustinov, V N Maksimov, A V Shabalin, T V Bolotnova, M I Voevoda.   

Abstract

The P53 protein is a key regulator of modified-cell apoptosis. The functional oligonucleotide polymorphism of the p53 gene causes the substitution of arginine (Arg) for praline (Pro) in the codon 72. A reduced apoptotic activity of p53 and, as a consequence, development of oncology pathology is associated with the above polymorphism. CCR5 is a compound transmembrane receptor-protein, which apart from chemokines, binds with some molecules and is a coreceptor for HIV-1. 32 bp deletion within the CCR5 encoding region results in the loss of the protein's receptor function. It has been demonstrated that the transmission of the "external" (in respect to cell) stimulus, via the CCR5 system, induces expression of the p53 gene and initiates apoptosis. Allele variants and p53 and CCR5 genotypes (separately and in combinations) were investigated, within the present case study, for 131 long-livers from Novosibirsk and Tyumen Regions. A trend was detected towards accumulation of the p53 Pro alleles in association with the CCR5del32 allele in the study group, which, as the authors believe, can enhance the genome resistance to variable factors that cut the life span.

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Year:  2004        PMID: 15651660

Source DB:  PubMed          Journal:  Vestn Ross Akad Med Nauk        ISSN: 0869-6047


  4 in total

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Journal:  Genes Cancer       Date:  2011-04

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Authors:  Sue Haupt; Ygal Haupt
Journal:  Front Genet       Date:  2021-02-16       Impact factor: 4.599

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Authors:  Silvana Mirella Aliberti; Richard H W Funk; Luigi Schiavo; Aldo Giudice; Elena Ciaglia; Annibale Alessandro Puca; Joseph Gonnella; Mario Capunzo
Journal:  Nutrients       Date:  2022-09-05       Impact factor: 6.706

4.  A polymorphism in the tumor suppressor p53 affects aging and longevity in mouse models.

Authors:  Yuhan Zhao; Lihua Wu; Xuetian Yue; Cen Zhang; Jianming Wang; Jun Li; Xiaohui Sun; Yiming Zhu; Zhaohui Feng; Wenwei Hu
Journal:  Elife       Date:  2018-03-20       Impact factor: 8.140

  4 in total

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