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Research ArticleCardiovascular and Metabolic Risk

Reciprocal Association of Plasma IGF-1 and Interleukin-6 Levels With Cardiometabolic Risk Factors in Nondiabetic Subjects

Elena Succurro, Francesco Andreozzi, Angela Sciaqua, Marta Letizia Hribal, Francesco Perticone, Giorgio Sesti
DOI: 10.2337/dc08-0553 Published 1 September 2008
Elena Succurro
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Francesco Andreozzi
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Angela Sciaqua
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Marta Letizia Hribal
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Francesco Perticone
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Giorgio Sesti
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Abstract

OBJECTIVE—To examine the relationship between plasma IGF-1 and interleukin-6 (IL-6) levels in Caucasian nondiabetic subjects and evaluate the association of IGF-1 and IL-6 with the cardiometabolic risk factors characterizing metabolic syndrome (MetS).

RESEARCH DESIGN AND METHODS—The study group consisted of 186 Caucasian nondiabetic subjects who underwent an oral glucose tolerance test and an euglycemic-hyperinsulinemic clamp. A logistic regression analysis, adjusted for age and sex, was used to determine the association between tertiles of IGF-1 and IL-6 and the MetS and its components.

RESULTS—After adjusting for age and sex, both IGF-1 and IL-6 were correlated with insulin resistance and individual components of MetS, but in opposite directions. In the logistic regression model adjusted for age and sex, higher IL-6 and lower IGF-1 levels confer increased risk of having MetS and its two underlying pathophysiological abnormalities, i.e., visceral obesity and insulin resistance.

CONCLUSIONS—The present results raise the possibility that lowered protection against inflammation, i.e., lower IGF-1 levels, may have a role in the development of MetS and its features, resulting in an imbalance between proinflammatory and anti-inflammatory proteins.

Metabolic syndrome (MetS) is a condition characterized by a clustering of interrelated cardiometabolic risk factors and is associated with increased risk for both type 2 diabetes and atherosclerotic cardiovascular disease (1,2). Visceral obesity and insulin resistance are considered central to the pathophysiology of MetS. Growing evidence suggests a link between a low-grade inflammatory state and MetS (1,2). With increased visceral adiposity, proinflammatory cytokine production is enhanced, causing insulin resistance. MetS is associated with abnormalities in the growth hormone/IGF-1 axis, resulting in low plasma IGF-1 levels (3). IGF-1 has anti-inflammatory effects and decreases expression of proinflammatory cytokines such as interleukin-6 (IL-6) (4). There is also evidence in animal models that IL-6 decreases circulating IGF-1 levels (5), suggesting that an unpaired balance between proinflammatory and anti-inflammatory cytokines may have a role in the development of MetS. The aim of this study was to examine the relationship between plasma IGF-1 and IL-6 levels in a cohort of nondiabetic subjects and to evaluate the association of IGF-1 and IL-6 with the cardiometabolic risk factors characterizing MetS.

RESEARCH DESIGN AND METHODS—

The study group consisted of 186 Caucasian nondiabetic subjects participating in the CAtanzaro MEtabolic RIsk factors Study (CATAMERIS), a metabolic disease prevention campaign for cardiometabolic risk factors (6). After 12-h fasting, subjects underwent an oral glucose tolerance test and a euglycemic-hyperinsulinemic clamp, as previously described (6). Whole-body glucose disposal (WBGD) was calculated as reported (6). Insulin resistance was also estimated by homeostasis model assessment (HOMA). MetS was defined according to American Heart Association and National Heart, Lung, and Blood Institute criteria. The study was approved by the institutional ethics committees, and written consent was obtained from all participants. Variables with skewed distribution were log transformed for analyses. Pearson's correlation coefficients were used to compute correlations between variables. A logistic regression analysis was used to determine the association between the tertiles of IGF-1 or IL-6 and the MetS and its individual components. Relationships between variables were sought by multivariate linear regression analysis to assess the magnitude of their effect on WBGD.

RESULTS—

Anthropometric and biochemical characteristics of the study subjects are shown in Table 1. After adjusting for sex and age, IGF-1 levels were negatively correlated with BMI, waist circumference, systolic blood pressure, triglycerides, fasting insulin, and HOMA and positively correlated with WBGD. After adjusting for age and sex, IL-6 levels were positively correlated with BMI, waist circumference, systolic blood pressure, fasting insulin, and HOMA and negatively correlated with WBGD and IGF-1 levels. In a logistic regression model adjusted for age and sex, IGF-1 in the lowest tertile (<135 ng/ml) was associated with an increased risk of having MetS (odds ratio [OR] 3.07 [95% CI 1.2–7.9]), low HDL choldesterol (3.15, [1.2–8.1]), and larger waist circumference (4.67, [1.8–11.9]) compared with the highest tertile (>221 ng/ml). After adjusting for age, sex, and lipid levels, IGF-1 in the lowest tertile was associated with increased risk of insulin resistance, i.e., the highest HOMA tertile (3.08, [1.2–7.6]) or lowest WBGD tertile (3.31, [1.01–10.9]). Conversely, in a logistic regression model adjusted for age and sex, IL-6 in the highest tertile (>2.5 pg/ml) was associated with an increased risk of having MetS (3.21 [1.2–8.1]), high blood pressure (2.63 [1.1–6.4]), and larger waist circumference (4.42 [1.8–11.0]) compared with the lowest tertile (<1.3 pg/ml). After adjusting for age, sex, and lipid levels, IL-6 in the highest tertile was associated with increased risk of insulin resistance, i.e., the highest HOMA tertile (2.14, [1.01–5.31]) or lowest WBGD tertile (4.64, [1.5–14.1]). To estimate the independent contribution of variables to WBGD, we carried out a multivariate regression analysis in a model including age, sex, BMI, waist circumference, triglycerides, HDL cholesterol, IL-6, IGF-1, and fasting and 2-h postchallenge glucose levels. The four variables that remained significantly associated with WBGD were age (P = 0.01), waist circumference (P = 0.01), 2-h postchallenge glucose (P = 0.001), and IL-6 (P = 0.04), accounting for 61.2% of its variation.

CONCLUSIONS—

In this study, we report an inverse relationship between plasma IGF-1 and IL-6 levels consistent with clinical (7) and experimental data showing that IGF-1 acts as an anti-inflammatory molecule inhibiting IL-6 expression (4) and that IL-6 decreases IGF-I levels by increasing its clearance (5). Both IGF-1 and IL-6 are associated with MetS and its individual components, but in opposite directions. Higher IL-6 and lower IGF-1 levels confer increased risk of having MetS and its two underlying pathophysiological abnormalities, i.e., visceral obesity and insulin resistance. Interestingly, multivariate regression analysis showed that IL-6 but not IGF-1 levels were independently associated with WBGD. These results raise the possibility that proinflammatory molecules may have a more important role than anti-inflammatory proteins in the development of insulin resistance and MetS. This study has some limitations: first, its cross-sectional nature makes it impossible to draw any conclusions on causality. Furthermore, while increasing evidence supports the concept that a low-grade proinflammatory state associated with increased visceral adiposity may induce insulin resistance and hence MetS (1), it has been recently demonstrated (8) that acute IL-6 exposure directly increases glucose metabolism in intact human skeletal muscle; our data do not allow exclusion of the possibility that increased IL-6 levels in our population may represent an attempt to counteract insulin resistance by increasing glucose transport. However, it has also been observed (9) that reduced IGF-1 levels are protective and associated with prolonged lifespan in centenarians, and we cannot exclude that in the study population decreased IGF-1 levels represent a reactive rather than a causative state. This study should thus be considered hypothesis generating and requires further prospective investigations.

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Table 1—

Anthropometric and biochemical characteristics of study subjects

Footnotes

  • Published ahead of print at http://care.diabetesjournals.org on 5 June 2008.

    Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.

    The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C Section 1734 solely to indicate this fact.

    • Accepted May 28, 2008.
    • Received March 19, 2008.
  • DIABETES CARE

References

  1. Festa A, D’Agostino R, Howard G, Mykkanen L, Tracey RP, Haffner SM: Chronic subclinical inflammation as part of the insulin resistance syndrome: the Insulin Resistance Atherosclerosis Study (IRAS). Circulation 101:42–47, 2000
  2. Kaushal K, Heald AH, Siddals KW, Sandhu MS, Dunger DB, Gibson JM, Wareham NJ: The impact of abnormalities in IGF and inflammatory systems on the metabolic syndrome. Diabetes Care 27:2682–2688, 2004
  3. Sesti G, Sciacqua A, Cardellini M, Marini MA, Maio R, Vatrano M, Succurro E, Lauro R, Federici M, Perticone F: Plasma concentration of IGF-I is independently associated with insulin sensitivity in subjects with different degrees of glucose tolerance. Diabetes Care 28:120–125, 2005
  4. Sukhanov S, Higashi Y, Shai SY, Vaughn C, Mohler J, Li Y, Song YH, Titterington J, Delafontaine P: IGF-1 reduces inflammatory responses, suppresses oxidative stress, and decreases atherosclerosis progression in ApoE-deficient mice. Arterioscler Thromb Vasc Biol 27:2684–2690, 2007
  5. DeBenedetti F, Alonzi T, Moretta A, LazzaroD, Costa P, Poli V, Martini A, Ciliberto G, Fattori E: Interleukin 6 causes growth impairment in transgenic mice through a decrease in insulin-like growth factor I. A model for stunted growth in children with chronic inflammation. J Clin Invest 99:643–650,1997
  6. Andreozzi F, Laratta E, Cardellini M, Marini MA, Lauro R, Hribal ML, Perticone F, Sesti G: Plasma interleukin-6 levels are independently associated with insulin secretion in a cohort of italian-caucasian nondiabetic subjects. Diabetes 55:2021–2024, 2006
  7. Rajpathak SN, McGinn P, Strickler HD, Rohan TE, Pollak M, Cappola AR, Kuller L, Xue XN, Newman AB, Strotmeyer ES, Psaty BM, Kaplan RC: Insulin-like growth factor-(IGF)-axis, inflammation, and glucose intolerance among older adults. Growth Horm IGF Res 18:166–173, 2007
  8. Glund S, Deshmukh A, Long YC, Moller T, Koistinen HA, Caidahl K, Zierath JR, Krook A: Interleukin-6 directly increases glucose metabolism in resting human skeletal muscle. Diabetes 56:1630–1637, 2007
  9. Suh Y, Atzmon G, Cho MO, Hwang D, Liu B, Leahy DJ, Barzilai N, Cohen P: Functionally significant insulin-like growth factor I receptor mutations in centenarians. Proc Natl Acad Sci USA 105:3438–3442, 2008

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