Literature DB >> 21458098

The ratio of adiponectin to homeostasis model assessment of insulin resistance is a powerful index of each component of metabolic syndrome in an aged Japanese population: results from the KING Study.

Masahiro Nakatochi1, Seiko Miyata, Daisuke Tanimura, Hideo Izawa, Hiroyuki Asano, Yosuke Murase, Ryuji Kato, Sahoko Ichihara, Keiko Naruse, Tatsuaki Matsubara, Hiroyuki Honda, Mitsuhiro Yokota.   

Abstract

We evaluated the ratio of adiponectin level to homeostasis model assessment of insulin resistance (A/H ratio) as a risk marker for metabolic syndrome (MetS) and each of its components. The A/H ratio may prove to be a powerful index for evaluation of risk for MetS and each of its components.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID： 21458098     DOI： 10.1016/j.diabres.2011.02.029

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN： 0168-8227            Impact factor:   5.602


  9 in total

1.  Epigenome-wide association study suggests that SNPs in the promoter region of RETN influence plasma resistin level via effects on DNA methylation at neighbouring sites.

Authors:  Masahiro Nakatochi; Sahoko Ichihara; Ken Yamamoto; Keizo Ohnaka; Yosuke Kato; Shigeki Yokota; Akihiro Hirashiki; Keiko Naruse; Hiroyuki Asano; Hideo Izawa; Tatsuaki Matsubara; Mitsuhiro Yokota
Journal:  Diabetologia       Date:  2015-09-24       Impact factor: 10.122

2.  Comparative effect of two Mediterranean diets versus a low-fat diet on glycaemic control in individuals with type 2 diabetes.

Authors:  A Lasa; J Miranda; M Bulló; R Casas; J Salas-Salvadó; I Larretxi; R Estruch; V Ruiz-Gutiérrez; M P Portillo
Journal:  Eur J Clin Nutr       Date:  2014-02-12       Impact factor: 4.016

3.  Identification of an interaction between VWF rs7965413 and platelet count as a novel risk marker for metabolic syndrome: an extensive search of candidate polymorphisms in a case-control study.

Authors:  Masahiro Nakatochi; Yasunori Ushida; Yoshinari Yasuda; Yasuko Yoshida; Shun Kawai; Ryuji Kato; Toru Nakashima; Masamitsu Iwata; Yachiyo Kuwatsuka; Masahiko Ando; Nobuyuki Hamajima; Takaaki Kondo; Hiroaki Oda; Mutsuharu Hayashi; Sawako Kato; Makoto Yamaguchi; Shoichi Maruyama; Seiichi Matsuo; Hiroyuki Honda
Journal:  PLoS One       Date:  2015-02-03       Impact factor: 3.240

4.  High-molecular weight adiponectin/HOMA-IR ratio as a biomarker of metabolic syndrome in urban multiethnic Brazilian subjects.

Authors:  Virgínia Genelhu de Abreu; Cyro José de Moraes Martins; Patricia Aguiar Cardoso de Oliveira; Emilio Antonio Francischetti
Journal:  PLoS One       Date:  2017-07-26       Impact factor: 3.240

5.  Significant association of RNF213 p.R4810K, a moyamoya susceptibility variant, with coronary artery disease.

Authors:  Takaaki Morimoto; Yohei Mineharu; Koh Ono; Masahiro Nakatochi; Sahoko Ichihara; Risako Kabata; Yasushi Takagi; Yang Cao; Lanying Zhao; Hatasu Kobayashi; Kouji H Harada; Katsunobu Takenaka; Takeshi Funaki; Mitsuhiro Yokota; Tatsuaki Matsubara; Ken Yamamoto; Hideo Izawa; Takeshi Kimura; Susumu Miyamoto; Akio Koizumi
Journal:  PLoS One       Date:  2017-04-17       Impact factor: 3.240

6.  Genome-wide meta-analysis identifies multiple novel loci associated with serum uric acid levels in Japanese individuals.

Authors:  Masahiro Nakatochi; Masahiro Kanai; Akiyoshi Nakayama; Asahi Hishida; Yusuke Kawamura; Sahoko Ichihara; Masato Akiyama; Hiroaki Ikezaki; Norihiro Furusyo; Seiko Shimizu; Ken Yamamoto; Makoto Hirata; Rieko Okada; Sayo Kawai; Makoto Kawaguchi; Yuichiro Nishida; Chisato Shimanoe; Rie Ibusuki; Toshiro Takezaki; Mayuko Nakajima; Mikiya Takao; Etsuko Ozaki; Daisuke Matsui; Takeshi Nishiyama; Sadao Suzuki; Naoyuki Takashima; Yoshikuni Kita; Kaori Endoh; Kiyonori Kuriki; Hirokazu Uemura; Kokichi Arisawa; Isao Oze; Keitaro Matsuo; Yohko Nakamura; Haruo Mikami; Takashi Tamura; Hiroshi Nakashima; Takahiro Nakamura; Norihiro Kato; Koichi Matsuda; Yoshinori Murakami; Tatsuaki Matsubara; Mariko Naito; Michiaki Kubo; Yoichiro Kamatani; Nariyoshi Shinomiya; Mitsuhiro Yokota; Kenji Wakai; Yukinori Okada; Hirotaka Matsuo
Journal:  Commun Biol       Date:  2019-04-08

7.  Combinational risk factors of metabolic syndrome identified by fuzzy neural network analysis of health-check data.

Authors:  Yasunori Ushida; Ryuji Kato; Kosuke Niwa; Daisuke Tanimura; Hideo Izawa; Kenji Yasui; Tomokazu Takase; Yasuko Yoshida; Mitsuo Kawase; Tsutomu Yoshida; Toyoaki Murohara; Hiroyuki Honda
Journal:  BMC Med Inform Decis Mak       Date:  2012-08-01       Impact factor: 2.796

8.  Association of Metabolic Syndrome with the Adiponectin to Homeostasis Model Assessment of Insulin Resistance Ratio.

Authors:  Yu-Song Ding; Shu-Xia Guo; Ru-Lin Ma; Shu-Gang Li; Heng Guo; Jing-Yu Zhang; Mei Zhang; Jia-Ming Liu; Jia He; Yi-Zhong Yan; Wen-Jie Zhang; Lie-Gang Liu
Journal:  Mediators Inflamm       Date:  2015-10-18       Impact factor: 4.711

9.  Epigenome-wide association of myocardial infarction with DNA methylation sites at loci related to cardiovascular disease.

Authors:  Masahiro Nakatochi; Sahoko Ichihara; Ken Yamamoto; Keiko Naruse; Shigeki Yokota; Hiroyuki Asano; Tatsuaki Matsubara; Mitsuhiro Yokota
Journal:  Clin Epigenetics       Date:  2017-05-15       Impact factor: 6.551
  9 in total

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