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      The trajectory of IGF-1 across age and duration of type 1 diabetes : Trajectory of IGF-1 in Type 1 Diabetes

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          Long-term effects of calorie or protein restriction on serum IGF-1 and IGFBP-3 concentration in humans.

          Reduced function mutations in the insulin/IGF-I signaling pathway increase maximal lifespan and health span in many species. Calorie restriction (CR) decreases serum IGF-1 concentration by ~40%, protects against cancer and slows aging in rodents. However, the long-term effects of CR with adequate nutrition on circulating IGF-1 levels in humans are unknown. Here we report data from two long-term CR studies (1 and 6 years) showing that severe CR without malnutrition did not change IGF-1 and IGF-1 : IGFBP-3 ratio levels in humans. In contrast, total and free IGF-1 concentrations were significantly lower in moderately protein-restricted individuals. Reducing protein intake from an average of 1.67 g kg(-1) of body weight per day to 0.95 g kg(-1) of body weight per day for 3 weeks in six volunteers practicing CR resulted in a reduction in serum IGF-1 from 194 ng mL(-1) to 152 ng mL(-1). These findings demonstrate that, unlike in rodents, long-term severe CR does not reduce serum IGF-1 concentration and IGF-1 : IGFBP-3 ratio in humans. In addition, our data provide evidence that protein intake is a key determinant of circulating IGF-1 levels in humans, and suggest that reduced protein intake may become an important component of anticancer and anti-aging dietary interventions.
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            Seminars in medicine of the Beth Israel Deaconess Medical Center. Insulin-like growth factors.

            Nhu D. Le (1997)
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              Reference ranges for two automated chemiluminescent assays for serum insulin-like growth factor I (IGF-I) and IGF-binding protein 3 (IGFBP-3).

              Assays for insulin-like growth factor I (IGF-I) and IGF-binding protein 3 (IGFBP-3) have become essential tools in the diagnostic work-up of disorders of the somatotropic axis in children and adults. The aim of this study was to evaluate the automated IMMULITE IGF-I and IGFBP-3 assays and to establish reference limits--central 95% intervals, median, 0.1 and other centiles as clinically relevant--as a function of age from 797 females and 787 males, from the first week of life through the ninth decade. Pubertal children were classified by sex and by sexual maturation (Tanner stage). IGF-I and IGFBP-3 levels were also assayed in 20 pediatric patients each with growth hormone deficiency (GHD) and Turner syndrome (UTS), before and during 12 months of recombinant growth hormone (rhGH) therapy, as well as in 11 adult patients with GHD and seven with acromegaly before therapy. Both the IGF-I and IGFBP-3 assays were accurate, specific and sufficiently sensitive to measure IGF-I and IGFBP-3 in serum with good linearity and recovery. In the IGF-I assay, potential interference from IGFBPs was eliminated by blocking with excess IGF-II. Circulating IGF-I and IGFBP-3 concentrations, and their ratio IGF-I/IGFBP-3, were age-dependent, showing low levels immediately after birth, a typical pubertal peak for girls and boys, and a pronounced decline after puberty, reaching a plateau in early adulthood. In adults IGF-I and IGFBP-3 levels decreased smoothly but steadily with age. Children with GHD and UTS had low circulating IGF-I and IGFBP-3 levels which increased to normal reference limits under therapy with rhGH. Adult GHD patients showed IGF-I levels below the age-related median; untreated acromegalic patients mostly had IGF-I and IGFBP-3 levels above the age-related 97.5th centile. In conclusion, the automated IMMULITE IGF-I and IGFBP-3 assays are reliable tools in the diagnosis of pathologies of the GH/IGF axis and in the follow-up of their therapies.
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                Author and article information

                Journal
                Diabetes/Metabolism Research and Reviews
                Diabetes Metab Res Rev
                Wiley
                15207552
                November 2014
                November 2014
                November 14 2014
                : 30
                : 8
                : 777-783
                Affiliations
                [1 ]Department of Population Health Sciences; University of Wisconsin; Madison WI United States
                [2 ]Department of Biostatistics and Medical Informatics; University of Wisconsin; Madison WI United States
                [3 ]Facultad de Ciencias de la Salud; Universidad Autónoma de Bucaramanga; Bucaramanga Colombia
                [4 ]Divisions of Transplant Surgery and Epidemiology and Biostatistics; University of Illinois School of Public Health; Chicago IL United States
                Article
                10.1002/dmrr.2554
                8ddfb7ea-f018-4516-81d9-1a92f8cc456c
                © 2014

                http://doi.wiley.com/10.1002/tdm_license_1.1

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