Linked Life Data

15965040

Source:http://linkedlifedata.com/resource/pubmed/id/15965040

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2005-6-20
pubmed:abstractText
Insulin resistance has been recognized as the fundamental underlying metabolic defect in the pathogenesis of metabolic syndrome, a clustering of cardiovascular risk factors such as diabetes, hypertension, dyslipidemia, and obesity. Recent studies established that mitochondrial dysfunction is involved in insulin resistance in general and fetal origin of this state in particular. Because genes are the fundamental molecular basis of inheritance--and thus the cornerstones of evolution--a model explaining insulin resistance is based at the gene level at best. Since a certain mtDNA polymorphism, 16189T>C, is associated with insulin resistance, mtDNA has to be a basic component of the gene-based model. We developed a mitochondria-based model that explains insulin resistance in terms of quantitative and qualitative change of the mitochondrion and its DNA. This model can accommodate several important hypotheses, such as thrifty genotype hypothesis, thrifty phenotype hypothesis, fetal insulin hypothesis, contribution of metabolic imprinting by epigenetic changes, and many other features associated with insulin resistance. We will discuss mechanisms that indicate why the perturbed initial condition of mitochondrial function should lead to the reduced insulin sensitivity.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0077-8923
pubmed:author
pubmed:issnType
Print
pubmed:volume
1042
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1-18
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Mitochondria-based model for fetal origin of adult disease and insulin resistance.
pubmed:affiliation
Department of Internal Medicine, Seoul National University College of Medicine, 28 Yongon-Dong, Chongno-Gu, Seoul, 110-744, Korea. hkleemd@snu.ac.kr
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't