Literature DB >> 2044435

Insulin resistance, hyperinsulinemia, hypertriglyceridemia, and hypertension. Parallels between human disease and rodent models.

G M Reaven1.   

Abstract

There is considerable evidence that abnormalities of glucose, insulin, and lipoprotein metabolism occur more frequently in untreated hypertensive patients than in normotensive control subjects. More recently, it has also become apparent that similar metabolic abnormalities occur in rodent models of hypertension. One purpose of this article is to review the experimental data that have led to the above generalizations. The second goal is to address the significance of these findings, which is certainly not clear. For example, it could be argued that the relationship between high blood pressure and the associated metabolic defects is incidental. On the other hand, there is evidence that the changes in glucose, insulin, and lipoprotein metabolism may play a role in the etiology and/or clinical course of patients with high blood pressure. Although it is impossible at this point to definitively choose between these possibilities, an effort is made to marshal the evidence in support of the latter alternative.

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Year:  1991        PMID: 2044435     DOI: 10.2337/diacare.14.3.195

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  26 in total

1.  Insulin signalling pathways in aorta and muscle from two animal models of insulin resistance--the obese middle-aged and the spontaneously hypertensive rats.

Authors:  H G Zecchin; R M N Bezerra; J B C Carvalheira; M A Carvalho-Filho; K Metze; K G Franchini; M J A Saad
Journal:  Diabetologia       Date:  2003-04-05       Impact factor: 10.122

2.  Human growth hormone fragment (hGH44-91) produces insulin resistance and hyperinsulinemia but is less potent than 22 kDa hGH in the rat.

Authors:  M Hettiarachchi; A Watkinson; K C Leung; Y N Sinha; K K Ho; E W Kraegen
Journal:  Endocrine       Date:  1997-02       Impact factor: 3.633

3.  Replication of genome-wide association studies (GWAS) loci for fasting plasma glucose in African-Americans.

Authors:  E Ramos; G Chen; D Shriner; A Doumatey; N P Gerry; A Herbert; H Huang; J Zhou; M F Christman; A Adeyemo; C Rotimi
Journal:  Diabetologia       Date:  2010-12-25       Impact factor: 10.122

4.  Patients with insulinoma show insulin resistance in the absence of arterial hypertension.

Authors:  A E Pontiroli; M Alberetto; G Pozza
Journal:  Diabetologia       Date:  1992-03       Impact factor: 10.122

5.  High-fat diet based on dried bovine brain: an effective animal model of dyslipidemia and insulin resistance.

Authors:  Tiago Gomes Araújo; Ana Catarina Rezende Leite; Caíque Silveira Martins da Fonseca; Bruno Melo Carvalho; Alexandre Ricardo Pereira Schuler; Vera Lúcia de Menezes Lima
Journal:  J Physiol Biochem       Date:  2011-03-25       Impact factor: 4.158

6.  Association of heart failure severity with risk of diabetes: a Danish nationwide cohort study.

Authors:  Malene N Demant; Gunnar H Gislason; Lars Køber; Allan Vaag; Christian Torp-Pedersen; Charlotte Andersson
Journal:  Diabetologia       Date:  2014-05-22       Impact factor: 10.122

7.  Hypertension and combinations of cardiovascular risk factors. An epidemiologic case-control study in an adult population in Guadeloupe (FWI).

Authors:  L Foucan; J Bangou-Brédent; D K Ekouévi; J Deloumeaux; J E Roset; P Kangambega
Journal:  Eur J Epidemiol       Date:  2001       Impact factor: 8.082

Review 8.  Proposal for a Scientifically Correct and Medically Actionable Disease Classification System (ICD) for Obesity.

Authors:  W Timothy Garvey; Jeffrey I Mechanick
Journal:  Obesity (Silver Spring)       Date:  2020-03       Impact factor: 5.002

9.  Macrophage adiponectin expression improves insulin sensitivity and protects against inflammation and atherosclerosis.

Authors:  Nanlan Luo; Jian Liu; B Hong Chung; Qinglin Yang; Richard L Klein; W Timothy Garvey; Yuchang Fu
Journal:  Diabetes       Date:  2010-04       Impact factor: 9.461

10.  Longitudinal associations of blood markers of insulin and glucose metabolism and cancer mortality in the third National Health and Nutrition Examination Survey.

Authors:  Niyati Parekh; Yong Lin; Richard B Hayes; Jeanine B Albu; Grace L Lu-Yao
Journal:  Cancer Causes Control       Date:  2010-01-23       Impact factor: 2.506

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