Literature DB >> 17684446

Genetic forms of the cardiometabolic syndrome: what can they tell the clinician?

George Yuan1, Robert A Hegele.   

Abstract

A well-worn medical aphorism states that "when you hear hoof beats, think of a horse and not a zebra." When applying this principle to the cardiometabolic syndrome (CMS), the horse would be represented by the prevalent CMS phenotype that affects approximately 30% of individuals in Westernized societies, while the zebra is represented by very rare conditions--such as lipodystrophy syndromes--that share some features with the more prevalent CMS. For instance, familial partial lipodystrophy types 2 and 3 result from heterozygous mutations in LMNA, encoding nuclear lamin A/C, and in PPARG, encoding peroxisome proliferator-activated receptor (PPAR)-gamma, respectively. Patients with either subtype of partial lipodystrophy exhibit an increased ratio of central to peripheral fat stores, dysglycemia, dyslipidemia, and hypertension, with predisposition for developing insulin-resistant diabetes and atherosclerosis end points. Sometimes, however, the zebra serves as a model that can help us understand the horse, so that the rare partial lipodystrophies might offer some insight into pathogenesis and treatment of the more prevalent CMS.

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Year:  2007        PMID: 17684446     DOI: 10.1111/j.1559-4564.2007.05905.x

Source DB:  PubMed          Journal:  J Cardiometab Syndr        ISSN: 1559-4564


  2 in total

1.  Association between the FTO rs9939609 polymorphism and the metabolic syndrome in a non-Caucasian multi-ethnic sample.

Authors:  Salam A Al-Attar; Rebecca L Pollex; Matthew R Ban; T Kue Young; Peter Bjerregaard; Sonia S Anand; Salim Yusuf; Bernard Zinman; Stewart B Harris; Anthony Jg Hanley; Philip W Connelly; Murray W Huff; Robert A Hegele
Journal:  Cardiovasc Diabetol       Date:  2008-03-13       Impact factor: 9.951

2.  Association between the -455T>C promoter polymorphism of the APOC3 gene and the metabolic syndrome in a multi-ethnic sample.

Authors:  Rebecca L Pollex; Matthew R Ban; T Kue Young; Peter Bjerregaard; Sonia S Anand; Salim Yusuf; Bernard Zinman; Stewart B Harris; Anthony J G Hanley; Philip W Connelly; Murray W Huff; Robert A Hegele
Journal:  BMC Med Genet       Date:  2007-12-20       Impact factor: 2.103

  2 in total

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