(Circulation. 2001;103:2225.)
© 2001 American Heart Association, Inc.
Clinical Investigation and Reports |
From the John P. Robarts Research Institute, London, Ontario, Canada.
Correspondence to Robert A. Hegele, MD, FRCPC, FACP, Blackburn Cardiovascular Genetics Laboratory, Robarts Research Institute, 406-100 Perth Dr, London, Ontario, Canada N6A 5K8. E-mail robert.hegele{at}rri.on.ca
BackgroundThe common insulin resistance syndrome, with obesity, dyslipidemia, hyperglycemia, and hypertension, is associated with increased risk of atherosclerosis. Early atherosclerosis in rare monogenic forms of insulin resistance, however, has not been extensively documented. Cardiovascular end points were thus evaluated in subjects with Dunnigan-type familial partial lipodystrophy (FPLD) due to mutations at LMNA codon 482.
Methods and
ResultsFPLD subjects
35 years old were
stratified by genotype for either the
LMNA R482Q or R482W mutation.
Twenty-three subjects were heterozygous mutation carriers, and 17 were
R482/R482 homozygous family control subjects. All
LMNA mutation carriers had FPLD
with insulin resistance. In addition,
LMNA mutation carriers had
significantly more type 2 diabetes, hypertension, and
dyslipidemia than normal family control subjects. Eight
LMNA mutation carriers had
coronary heart disease (CHD), compared with 1 normal control
subject (OR 5.9, 95% CI 1.2 to 30.2). Six
LMNA mutation carriers had CHD
end points before age 55 years, and 4 of these, all women, had been
hospitalized for CABG surgery between the ages of 35 and 54
years.
ConclusionsRare LMNA mutations that underlie FPLD with insulin resistance and hyperinsulinemia are also associated with early CHD, notably in women. This suggests that abnormalities of the nuclear envelope can result in a phenotype that recapitulates most of the important attributes of the common insulin resistance syndrome, including accelerated cardiovascular disease. FPLD thus appears to be an appropriate human monogenic model for the common insulin resistance syndrome.
Key Words: diabetes genetics obesity risk factors
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