Complement Factor 3 Is Associated With Insulin Resistance and With Incident Type 2 Diabetes Over a 7-Year Follow-up Period: The CODAM Study
Year: 2014
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: Immune dysregulation can affect insulin resistance (IR) and β-cell function and hence contribute to development of type 2 diabetes mellitus (T2DM). The complement system, as a regulator of immune and inflammatory homeostasis, may be a relevant contributor therein. However, longitudinal studies focusing on complement as a determinant of T2DM and IR are scarce. Therefore, we prospectively investigated the association of plasma complement factor 3 (C3) with (estimates of) IR in muscle, liver, and adipocytes, as well as with glucose tolerance, including incident T2DM. RESEARCH DESIGN AND METHODS: Fasting C3, nonesterified fatty acids, glucose, and insulin (the latter two during oral glucose tolerance tests) were measured at baseline (n = 545) and after 7 years of follow-up (n = 394) in a prospective cohort study. RESULTS: Over the 7-year period, C3 levels (per 0.1 g/L) were longitudinally associated with higher homeostasis model assessment of IR (HOMA2-IR; β = 15.2% [95% CI 12.9-17.6]), hepatic IR (β = 6.1% [95% CI 4.7-7.4]), adipocyte IR (β = 16.0% [95% CI 13.0-19.1]), fasting glucose (β = 1.8% [95% CI 1.2-2.4]), 2-h glucose (β = 5.2% [95% CI 3.7-6.7]), and area under the curve for glucose (β = 3.6% [95% CI 2.7-4.6]). In addition, greater changes in C3 (per 0.1 g/L) were associated with greater changes in HOMA2-IR (β = 0.08 [95% CI 0.02-0.15]) and greater changes in hepatic IR (β = 0.87 [95% CI 0.12-1.61]) over 7 years, but not glucose tolerance. Moreover, baseline C3 was associated with the 7-year incidence of T2DM (odds ratio 1.5 [95% CI 1.1-2.0]). CONCLUSIONS: Changes in C3 were associated with changes in several measures of IR and may reflect progression of metabolic dysregulation, which eventually leads to abnormalities in glucose tolerance and T2DM.
Source: Diabetes Care
DOI: 10.2337/dc13-2804
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W2103102216