The Insulin Resistance Atherosclerosis Study (IRAS) is a multicenter study of the relationship between insulin resistance and cardiovascular disease (CVD) and its risk factors in a tri-ethnic (African-American, Hispanic, and non-Hispanic white) population aged 40 to 69 years at baseline. The study population was selected to insure adequate number of participants within gender and glucose tolerance groups (normal glucose tolerance, impaired glucose tolerance, and non-insulin-dependent diabetes [NIDDM]). IRAS is the first large epidemiologic study to include detailed measurements of insulin sensitivity and secretion. During the first four years of funding, the IRAS investigators successfully designed and implemented the first phase of the study - a cross-sectional evaluation of 1,625 participants. The current proposal requests an additional five years of funding for the prospective follow-up and examination of the IRAS cohort. The requested funding period consists of three phases. During the first phase (Y05 and Y06), the investigators propose to conduct a substudy to address the measurement of insulin sensitivity in individuals with NIDDM. This substudy will evaluate several alternate techniques for measuring insulin sensitivity in 118 non-IRAS patients with NIDDM. In addition, all IRAS participants will be contacted annually for incident cardiovascular and other major health events. During the second phase (Y07 and Y08), a follow-up examination of the IRAS cohort will be conducted with the goal of determining predictors of changes in insulin sensitivity, cardiovascular risk factors, measures of atherosclerosis development, and cardiovascular events. Additionally, throughout the first four years (Y05-Y08), there will be continued major effort devoted to the analysis and reporting of the cross-sectional data from the first IRAS examination. The final phase (Y09) will include database closure and archival, and analysis and reporting of the longitudinal results.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01HL047902-08
Application #
2771316
Study Section
Special Emphasis Panel (ZHL1-CCT-H (S1))
Project Start
1991-09-30
Project End
2000-08-31
Budget Start
1998-09-01
Budget End
1999-08-31
Support Year
8
Fiscal Year
1998
Total Cost
Indirect Cost
Name
University of California Los Angeles
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
119132785
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Gao, Chuan; Tabb, Keri L; Dimitrov, Latchezar M et al. (2018) Exome Sequencing Identifies Genetic Variants Associated with Circulating Lipid Levels in Mexican Americans: The Insulin Resistance Atherosclerosis Family Study (IRASFS). Sci Rep 8:5603
Santaren, Ingrid D; Watkins, Steven M; Liese, Angela D et al. (2017) Individual serum saturated fatty acids and markers of chronic subclinical inflammation: the Insulin Resistance Atherosclerosis Study. J Lipid Res 58:2171-2179
Graff, Mariaelisa; Emery, Leslie S; Justice, Anne E et al. (2017) Genetic architecture of lipid traits in the Hispanic community health study/study of Latinos. Lipids Health Dis 16:200
Lorenzo, Carlos; Festa, Andreas; Hanley, Anthony J et al. (2017) Novel Protein Glycan-Derived Markers of Systemic Inflammation and C-Reactive Protein in Relation to Glycemia, Insulin Resistance, and Insulin Secretion. Diabetes Care 40:375-382
Lee, C Christine; Watkins, Steve M; Lorenzo, Carlos et al. (2016) Branched-Chain Amino Acids and Insulin Metabolism: The Insulin Resistance Atherosclerosis Study (IRAS). Diabetes Care 39:582-8
Lorenzo, C; Hanley, A J; Rewers, M J et al. (2016) Discriminatory value of alanine aminotransferase for diabetes prediction: the Insulin Resistance Atherosclerosis Study. Diabet Med 33:348-55
Palmer, Nicholette D; Wagenknecht, Lynne E; Langefeld, Carl D et al. (2016) Improved Performance of Dynamic Measures of Insulin Response Over Surrogate Indices to Identify Genetic Contributors of Type 2 Diabetes: The GUARDIAN Consortium. Diabetes 65:2072-80
Liu, Ching-Ti; Raghavan, Sridharan; Maruthur, Nisa et al. (2016) Trans-ethnic Meta-analysis and Functional Annotation Illuminates theĀ Genetic Architecture of Fasting Glucose and Insulin. Am J Hum Genet 99:56-75
Dickson, J C; Liese, A D; Lorenzo, C et al. (2015) Associations of coffee consumption with markers of liver injury in the insulin resistance atherosclerosis study. BMC Gastroenterol 15:88
Lorenzo, Carlos; Hanley, Anthony J; Rewers, Marian J et al. (2015) Lipoprotein heterogeneity may help to detect individuals with insulin resistance. Diabetologia 58:2765-73

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