Literature DB >> 28954986

Body fat mass is correlated with serum transthyretin levels in maintenance hemodialysis patients.

Sayaka Matsuura1, Yumiko Shirai2, Miyu Kubo1,3, Chisako Nayama1,3, Masami Okitsu1,3, Yuu Oiwa1,3, Sonoko Yasui1,3, Yoshiko Suzuki1,3, Tomohiro Murata4,5, Eiji Ishikawa4,5, Chikao Miki5,6, Yasuhiro Hamada1,3,5.   

Abstract

Serum transthyretin (TTR), also known as prealbumin, is a reliable nutritional indicator and an independent prognostic factor for maintenance hemodialysis patients. However, we recently reported that serum TTR levels did not affect protein-energy wasting (PEW). In this study, we investigated factors affecting serum TTR levels in 60 maintenance hemodialysis patients. The patients were divided into High-TTR and Low-TTR groups according to the median serum TTR level. Albumin levels were significantly higher and C-reactive protein (CRP) levels were significantly lower in the High-TTR group than in the Low-TTR group. Although body fat mass was significantly higher in the High-TTR group than in the Low-TTR group, no significant difference in body fat ratio were observed. These findings suggest that body fat mass is related to serum TTR levels, apart from factors such as albumin and CRP levels, which showed correlations with serum TTR levels. Because body fat mass is related to better survival in maintenance hemodialysis patients, it may contribute to the prognostic value of serum TTR levels. In addition, in such patients, it may be important to evaluate body fat mass rather than body fat ratio and to maintain the minimum necessary body fat mass. J. Med. Invest. 64: 222-227, August, 2017.

Entities:  

Keywords:  bioelectrical impedance analysis; nutrition; prealbumin; protein-energy wasting

Mesh:

Substances:

Year:  2017        PMID: 28954986     DOI: 10.2152/jmi.64.222

Source DB:  PubMed          Journal:  J Med Invest        ISSN: 1343-1420


  1 in total

1.  Global Transcriptome Analysis During Adipogenic Differentiation and Involvement of Transthyretin Gene in Adipogenesis in Cattle.

Authors:  Hanfang Cai; Mingxun Li; Xiaomei Sun; Martin Plath; Congjun Li; Xianyong Lan; Chuzhao Lei; Yongzhen Huang; Yueyu Bai; Xinglei Qi; Fengpeng Lin; Hong Chen
Journal:  Front Genet       Date:  2018-10-18       Impact factor: 4.599

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.