Individually tailored screening of susceptibility to sarcopenia using p53 codon 72 polymorphism, phenotypes, and conventional risk factors.
Individually tailored screening of susceptibility to sarcopenia using p53 codon 72 polymorphism, phenotypes, and conventional risk factors.
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DOI：
10.1155/2014/743634
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
De Lorenzo A
中科院分区：
文献类型：
--
作者：
Di Renzo L;Gratteri S;Sarlo F;Cabibbo A;Colica C;De Lorenzo A
背景和目的。P53活性在肌肉稳态和骨骼肌分化中发挥作用；所有导致肌肉减少的途径都与p53活性有关。我们研究了意大利女性人群外显子4多态性中TP53密码子72的等位基因频率，以及正常体重（NW）、正常体重肥胖（NWO）和肥胖-肥胖（Preob-Ob）受试者的阑尾骨骼肌质量指数。方法。我们评估了140名NW、NWO和Preob-Ob女性的人体测量、身体组成和p53多态性。结果。*Arg/*Arg基因型可使肌肉减少症风险增加20% （*Arg/*Arg基因型OR = 1.20; 95% CI = 0.48-2.9； * pro等位基因携带者OR = 0.83; 95% CI = 0.83 - 2.06）。NWO和Preob-Ob中*Arg/*Arg基因型的肌肉减少风险比NW携带者高31% （RR = 0,31, 95% CI = 0,15 - 0,66, P = 0,0079）。我们建立了一个基于年龄、体脂和p53多态性预测肌肉减少症风险的模型。结论。我们的研究表明，基因分型TP53多态性可能是一种有用的新的遗传方法，与身体成分评估相关联，以评估肌肉减少症的风险。
Background and Aim. p53 activity plays a role in muscle homeostasis and skeletal muscle differentiation; all pathways that lead to sarcopenia are related to p53 activities. We investigate the allelic frequency of the TP53 codon 72 in exon 4 polymorphism in the Italian female population and the association with appendicular skeletal muscle mass index in normal weight (NW), normal weight obese (NWO), and preobese-obese (Preob-Ob) subjects. Methods. We evaluated anthropometry, body composition, and p53 polymorphism in 140 women distinguished in NW, NWO, and Preob-Ob. Results. *Arg/*Arg genotype increases sarcopenia risk up to 20% (*Arg/*Arg genotype OR = 1.20; 95% CI = 0.48–2.9; *proallele carriers OR = 0.83; 95% CI = 0.83–2.06). The risk of being sarcopenic for *Arg/*Arg genotype in NWO and Preob-Ob is 31% higher than NW carriers of *proallele (RR = 0,31, 95% CI = 0,15–0,66, P = 0,0079). We developed a model able to predict sarcopenia risk based on age, body fat, and p53 polymorphism. Conclusion. Our study evidences that genotyping TP53 polymorphism could be a useful new genetic approach, in association with body composition evaluations, to assess sarcopenia risk.
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影响因子：
9.3
作者：
Kang S;Kyung C;Park JS;Kim S;Lee SP;Kim MK;Kim HK;Kim KR;Jeon TJ;Ahn CW
通讯作者：
Ahn CW
影响因子：
--
作者：
Henley-Smith, Cynthia J.;Steffens, Francois E.;Lall, Namrita
通讯作者：
Lall, Namrita
影响因子：
4.3
作者：
Carter GW;Galas DJ;Galitski T
通讯作者：
Galitski T
影响因子：
3.5
作者：
De Lorenzo, Antonino;Bianchi, Alessia;Di Renzo, Laura
通讯作者：
Di Renzo, Laura
影响因子：
8.9
作者：
Fanzani, Alessandro;Conraads, Viviane M.;Penna, Fabio;Martinet, Wim
通讯作者：
Martinet, Wim