論文

査読有り
2013年1月

The effects of telmisartan treatment on the abdominal fat depot in patients with metabolic syndrome and essential hypertension: Abdominal fat Depot Intervention Program of Okayama (ADIPO)

DIABETES & VASCULAR DISEASE RESEARCH
  • Kazutoshi Murakami
  • ,
  • Jun Wada
  • ,
  • Daisuke Ogawa
  • ,
  • Chikage Sato Horiguchi
  • ,
  • Tomoko Miyoshi
  • ,
  • Motofumi Sasaki
  • ,
  • Haruhito A. Uchida
  • ,
  • Yoshio Nakamura
  • ,
  • Hirofumi Makino

10
1
開始ページ
93
終了ページ
96
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1177/1479164112444640
出版者・発行元
SAGE PUBLICATIONS LTD

Telmisartan partially activates the peroxisome proliferator-activated receptor gamma (PPAR gamma), which may ameliorate the accumulation of visceral adipose tissues and sensitise insulin action. Nineteen patients with essential hypertension and metabolic syndrome were randomly assigned to receive 40 mg of telmisartan (TELMI group) once daily or 80 mg of valsartan (VAL group) once daily for 24 weeks. The visceral fat area (VFA) measured by computed tomography (CT) was significantly reduced from 150.4 +/- 15.5 to 127.7 +/- 16.7 cm(2) in the TELMI group (p=0.049). Although VFA was also reduced in the VAL group from 169.8 +/- 14.8 to 155.3 +/- 14.8 cm(2), the change was not significant (p=0.173). There were no significant changes in body weight, body mass index (BMI), waist circumference, subdermal fat area (SFA), fasting plasma glucose, and homeostasis model assessment of insulin resistance (HOMA-IR) in comparison to the baseline and follow-up data in both groups. In conclusion, telmisartan may have a benefit in the reduction of visceral adipose tissues in comparison to valsartan.

リンク情報
DOI
https://doi.org/10.1177/1479164112444640
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000314327900013&DestApp=WOS_CPL
URL
http://orcid.org/0000-0003-1468-5170
ID情報
  • DOI : 10.1177/1479164112444640
  • ISSN : 1479-1641
  • ORCIDのPut Code : 17913053
  • Web of Science ID : WOS:000314327900013

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