Literature DB >> 19278606

The metabolic syndrome: insulin resistance.

Nasser Mikhail1.   

Abstract

Insulin resistance is the most accepted unifying theory explaining the pathophysiology of the metabolic syndrome. However, epidemiologic studies indicate that a substantial proportion of patients with the metabolic syndrome do not have evidence of insulin resistance, and the correlation between insulin resistance and individual components of the syndrome is weak to moderate. Insulin resistance may play an important role in the development of hyperglycemia and dyslipidemia, which can further aggravate insulin resistance. The implication of insulin resistance in hypertension appears to be less strong than its role in causing hyperglycemia and dyslipidemia. Obesity may be another pathogenic factor in the metabolic syndrome that may help initiate or worsen insulin resistance. However, like insulin resistance, obesity is not universal in the metabolic syndrome, and many obese subjects do not have metabolic abnormalities. This review provides an update on the relationship between insulin resistance and main components of the metabolic syndrome: hyperglycemia, dyslipidemia, hypertension, and obesity.

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Year:  2009        PMID: 19278606     DOI: 10.1007/s11906-009-0027-4

Source DB:  PubMed          Journal:  Curr Hypertens Rep        ISSN: 1522-6417            Impact factor:   5.369


  26 in total

1.  A prospective randomized study comparing patients with morbid obesity submitted to laparotomic gastric bypass with or without omentectomy.

Authors:  Attila Csendes; Fernando Maluenda; Ana Maria Burgos
Journal:  Obes Surg       Date:  2008-08-20       Impact factor: 4.129

2.  Prevalence and characteristics of the metabolic syndrome in primary aldosteronism.

Authors:  Francesco Fallo; Franco Veglio; Chiara Bertello; Nicoletta Sonino; Paolo Della Mea; Mario Ermani; Franco Rabbia; Giovanni Federspil; Paolo Mulatero
Journal:  J Clin Endocrinol Metab       Date:  2005-11-15       Impact factor: 5.958

Review 3.  Obesity and hypertension.

Authors:  N Mikhail; M S Golub; M L Tuck
Journal:  Prog Cardiovasc Dis       Date:  1999 Jul-Aug       Impact factor: 8.194

Review 4.  The metabolic syndrome.

Authors:  Robert H Eckel; Scott M Grundy; Paul Z Zimmet
Journal:  Lancet       Date:  2005 Apr 16-22       Impact factor: 79.321

Review 5.  Insulin and the vasculature.

Authors:  N Mikhail; M L Tuck
Journal:  Curr Hypertens Rep       Date:  2000-04       Impact factor: 5.369

Review 6.  The metabolic syndrome: time for a critical appraisal: joint statement from the American Diabetes Association and the European Association for the Study of Diabetes.

Authors:  Richard Kahn; John Buse; Ele Ferrannini; Michael Stern
Journal:  Diabetes Care       Date:  2005-09       Impact factor: 19.112

7.  The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering: prevalence and correlates of 2 phenotypes among the US population (NHANES 1999-2004).

Authors:  Rachel P Wildman; Paul Muntner; Kristi Reynolds; Aileen P McGinn; Swapnil Rajpathak; Judith Wylie-Rosett; MaryFran R Sowers
Journal:  Arch Intern Med       Date:  2008-08-11

8.  Effect of sustained physiologic hyperinsulinaemia and hyperglycaemia on insulin secretion and insulin sensitivity in man.

Authors:  S Del Prato; F Leonetti; D C Simonson; P Sheehan; M Matsuda; R A DeFronzo
Journal:  Diabetologia       Date:  1994-10       Impact factor: 10.122

9.  Effect of fatty acids on glucose production and utilization in man.

Authors:  E Ferrannini; E J Barrett; S Bevilacqua; R A DeFronzo
Journal:  J Clin Invest       Date:  1983-11       Impact factor: 14.808

10.  Insulin resistance, the metabolic syndrome, and risk of incident cardiovascular disease: a population-based study.

Authors:  Jørgen Jeppesen; Tine W Hansen; Susanne Rasmussen; Hans Ibsen; Christian Torp-Pedersen; Sten Madsbad
Journal:  J Am Coll Cardiol       Date:  2007-05-17       Impact factor: 24.094

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  13 in total

1.  Correlates of the metabolic syndrome among a sample of women in the San Juan Metropolitan area of Puerto Rico.

Authors:  Ana Patricia Ortiz; Erick Suárez; Giovanna Beauchamp; Josefina Romaguera; Marievelisse Soto-Salgado; Cynthia M Pérez
Journal:  Metab Syndr Relat Disord       Date:  2010-06       Impact factor: 1.894

Review 2.  Developmental reprogramming of reproductive and metabolic dysfunction in sheep: native steroids vs. environmental steroid receptor modulators.

Authors:  V Padmanabhan; H N Sarma; M Savabieasfahani; T L Steckler; A Veiga-Lopez
Journal:  Int J Androl       Date:  2010-01-12

3.  Lipid signals and insulin resistance.

Authors:  Chongben Zhang; Eric L Klett; Rosalind A Coleman
Journal:  Clin Lipidol       Date:  2013-12

Review 4.  Reproduction Symposium: developmental programming of reproductive and metabolic health.

Authors:  V Padmanabhan; A Veiga-Lopez
Journal:  J Anim Sci       Date:  2014-08       Impact factor: 3.159

5.  Effect of zinc supplementation on insulin resistance and metabolic risk factors in obese Korean women.

Authors:  Jihye Kim; Sunju Lee
Journal:  Nutr Res Pract       Date:  2012-06-30       Impact factor: 1.926

6.  Cardiorespiratory fitness, metabolic risk, and inflammation in children.

Authors:  Antonios D Christodoulos; Helen T Douda; Savvas P Tokmakidis
Journal:  Int J Pediatr       Date:  2012-01-24

7.  Plasma Proteomic Signature in Overweight Girls Closely Correlates with Homeostasis Model Assessment (HOMA), an Objective Measure of Insulin Resistance.

Authors:  Stephen W Rothwell; Merrily Poth; Harkirtin McIver; Chiedozie Ayika; Ofer Eidelman; Catherine Jozwik; Harvey B Pollard
Journal:  Hum Genomics Proteomics       Date:  2011-10-06

Review 8.  Taking two to tango: a role for ghrelin receptor heterodimerization in stress and reward.

Authors:  Harriët Schellekens; Timothy G Dinan; John F Cryan
Journal:  Front Neurosci       Date:  2013-08-30       Impact factor: 4.677

9.  Comparative Study of Serum Leptin and Insulin Resistance Levels Between Korean Postmenopausal Vegetarian and Non-vegetarian Women.

Authors:  Mi-Hyun Kim; Yun-Jung Bae
Journal:  Clin Nutr Res       Date:  2015-07-31

10.  Proteomic analysis allows for early detection of potential markers of metabolic impairment in very young obese children.

Authors:  Gabriel Á Martos-Moreno; Lucila Sackmann-Sala; Vicente Barrios; Darlene E Berrymann; Shigeru Okada; Jesús Argente; John J Kopchick
Journal:  Int J Pediatr Endocrinol       Date:  2014-06-10
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