Literature DB >> 17593345

Insulin resistance and the metabolic syndrome--or the pitfalls of epidemiology.

J S Yudkin1.   

Abstract

The clustering of dyslipidaemia, hypertension and glucose intolerance, predominantly in overweight individuals, has been ascribed many names, including syndrome X and the metabolic syndrome. In Reaven's original description of syndrome X, a central aetiological role was attributed to insulin resistance, and this assumption has remained as the dominant paradigm for the metabolic syndrome. There are a number of conceptual problems in such a model, particularly those arising from observations that several novel markers, including measures of endothelial dysfunction and of low-grade inflammation, are as closely related to insulin resistance as are the classic components of the syndrome. Because it is difficult to envisage how these traits might develop as a consequence of insulin resistance, such observations indicate the need for a new paradigm to explain the mechanisms of association better. It has been proposed that a state of low-grade inflammation, consequent upon the production of adipocytokines, particularly from truncal fat, explains the observed relationships between insulin resistance and endothelial dysfunction better than does a model revolving around insulin resistance. Furthermore, the inflammatory cytokines generated from adipose tissue may influence vessel endothelial function without elevations in circulating concentrations. This review alludes to several problems inherent in the epidemiological method in understanding disease mechanisms. These include crude biological measures, the use of venous systemic fasting samples, imprecision of assays, naive physiological models, simplistic statistical approaches and, without clinical trials, an inability to test causation. Integrated systems biology needs more complex approaches to investigate disease mechanisms, involving cell, organ, whole organism and population studies.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17593345     DOI: 10.1007/s00125-007-0711-3

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  74 in total

1.  Does the metabolic syndrome exist?

Authors:  Scott M Grundy
Journal:  Diabetes Care       Date:  2006-07       Impact factor: 19.112

2.  Risk variable clustering in the insulin resistance syndrome. The Framingham Offspring Study.

Authors:  J B Meigs; R B D'Agostino; P W Wilson; L A Cupples; D M Nathan; D E Singer
Journal:  Diabetes       Date:  1997-10       Impact factor: 9.461

3.  Discrimination, adjusted correlation, and equivalence of imprecise tests: application to glucose tolerance.

Authors:  J Levy; R Morris; M Hammersley; R Turner
Journal:  Am J Physiol       Date:  1999-02

Review 4.  Metabolic syndrome--a new world-wide definition. A Consensus Statement from the International Diabetes Federation.

Authors:  K G M M Alberti; P Zimmet; J Shaw
Journal:  Diabet Med       Date:  2006-05       Impact factor: 4.359

5.  Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study.

Authors:  Salim Yusuf; Steven Hawken; Stephanie Ounpuu; Leonelo Bautista; Maria Grazia Franzosi; Patrick Commerford; Chim C Lang; Zvonko Rumboldt; Churchill L Onen; Liu Lisheng; Supachai Tanomsup; Paul Wangai; Fahad Razak; Arya M Sharma; Sonia S Anand
Journal:  Lancet       Date:  2005-11-05       Impact factor: 79.321

6.  Relation of improvement in endothelium-dependent flow-mediated vasodilation after rosiglitazone to changes in asymmetric dimethylarginine, endothelin-1, and C-reactive protein in nondiabetic patients with the metabolic syndrome.

Authors:  Tzung-Dau Wang; Wen-Jone Chen; Wern-Cherng Cheng; Jong-Wei Lin; Ming-Fong Chen; Yuan-Teh Lee
Journal:  Am J Cardiol       Date:  2006-08-28       Impact factor: 2.778

7.  Comparison of insulin sensitivity tests across a range of glucose tolerance from normal to diabetes.

Authors:  M P Hermans; J C Levy; R J Morris; R C Turner
Journal:  Diabetologia       Date:  1999-06       Impact factor: 10.122

8.  Obesity/insulin resistance is associated with endothelial dysfunction. Implications for the syndrome of insulin resistance.

Authors:  H O Steinberg; H Chaker; R Leaming; A Johnson; G Brechtel; A D Baron
Journal:  J Clin Invest       Date:  1996-06-01       Impact factor: 14.808

9.  Adipose expression of tumor necrosis factor-alpha: direct role in obesity-linked insulin resistance.

Authors:  G S Hotamisligil; N S Shargill; B M Spiegelman
Journal:  Science       Date:  1993-01-01       Impact factor: 47.728

10.  Involvement of the hemostatic system in the insulin resistance syndrome. A study of 1500 patients with angina pectoris. The ECAT Angina Pectoris Study Group.

Authors:  I Juhan-Vague; S G Thompson; J Jespersen
Journal:  Arterioscler Thromb       Date:  1993-12
View more
  14 in total

1.  Pentamethylquercetin generates beneficial effects in monosodium glutamate-induced obese mice and C2C12 myotubes by activating AMP-activated protein kinase.

Authors:  J Z Shen; L N Ma; Y Han; J X Liu; W Q Yang; L Chen; Y Liu; Y Hu; M W Jin
Journal:  Diabetologia       Date:  2012-03-14       Impact factor: 10.122

2.  Correlation between advanced glycation end-products and the expression of fatty inflammatory factors in type II diabetic cardiomyopathy.

Authors:  Zhengdong Guo; Donghui Huang; Xiange Tang; Jingjing Han; Jing Li
Journal:  Bosn J Basic Med Sci       Date:  2015-10-25       Impact factor: 3.363

3.  Assessment of insulin resistance by a 13C glucose breath test: a new tool for early diagnosis and follow-up of high-risk patients.

Authors:  Meir Mizrahi; Gadi Lalazar; Tomer Adar; Itamar Raz; Yaron Ilan
Journal:  Nutr J       Date:  2010-05-27       Impact factor: 3.271

Review 4.  Impaired microvascular perfusion: a consequence of vascular dysfunction and a potential cause of insulin resistance in muscle.

Authors:  Michael G Clark
Journal:  Am J Physiol Endocrinol Metab       Date:  2008-07-08       Impact factor: 4.310

5.  Baseline levels, and changes over time in body mass index and fasting insulin, and their relationship to change in metabolic trait clustering.

Authors:  Martin K Rutter; Lisa M Sullivan; Caroline S Fox; Peter W F Wilson; David M Nathan; Ramachandran S Vasan; Ralph B D'Agostino; James B Meigs
Journal:  Metab Syndr Relat Disord       Date:  2014-07-09       Impact factor: 1.894

Review 6.  Metabolic syndrome: perception or reality?

Authors:  David C W Lau
Journal:  Curr Atheroscler Rep       Date:  2009-07       Impact factor: 5.113

7.  Childhood metabolic syndrome: must we define it to deal with it?

Authors:  Ram Weiss
Journal:  Diabetes Care       Date:  2011-05       Impact factor: 19.112

8.  Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases.

Authors:  Douglas B Kell
Journal:  BMC Med Genomics       Date:  2009-01-08       Impact factor: 3.063

9.  Consumption of sugar sweetened beverage is associated with incidence of metabolic syndrome in Tehranian children and adolescents.

Authors:  Parvin Mirmiran; Emad Yuzbashian; Golaleh Asghari; Somayeh Hosseinpour-Niazi; Fereidoun Azizi
Journal:  Nutr Metab (Lond)       Date:  2015-07-30       Impact factor: 4.169

10.  Psoriatic arthritis and diabetes: a population-based cross-sectional study.

Authors:  Jacob Dreiher; Tamar Freud; Arnon D Cohen
Journal:  Dermatol Res Pract       Date:  2013-06-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.