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Insulin-Like Growth Factor Axis and Risk of Type 2 Diabetes in Women

IGF-I shares structural homology and in vitro metabolic activity with insulin. Laboratory models suggest that IGF-I and its binding proteins IGFBP-1 and IGFBP-2 have potentially beneficial effects on diabetes risk, whereas IGFBP-3 may have adverse effects. We therefore conducted a prospective nested...

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Autores principales: Rajpathak, Swapnil N., He, Meian, Sun, Qi, Kaplan, Robert C., Muzumdar, Radhika, Rohan, Thomas E., Gunter, Marc J., Pollak, Michael, Kim, Mimi, Pessin, Jeffrey E., Beasley, Jeannette, Wylie-Rosett, Judith, Hu, Frank B., Strickler, Howard D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3425426/
https://www.ncbi.nlm.nih.gov/pubmed/22554827
http://dx.doi.org/10.2337/db11-1488
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author Rajpathak, Swapnil N.
He, Meian
Sun, Qi
Kaplan, Robert C.
Muzumdar, Radhika
Rohan, Thomas E.
Gunter, Marc J.
Pollak, Michael
Kim, Mimi
Pessin, Jeffrey E.
Beasley, Jeannette
Wylie-Rosett, Judith
Hu, Frank B.
Strickler, Howard D.
author_facet Rajpathak, Swapnil N.
He, Meian
Sun, Qi
Kaplan, Robert C.
Muzumdar, Radhika
Rohan, Thomas E.
Gunter, Marc J.
Pollak, Michael
Kim, Mimi
Pessin, Jeffrey E.
Beasley, Jeannette
Wylie-Rosett, Judith
Hu, Frank B.
Strickler, Howard D.
author_sort Rajpathak, Swapnil N.
collection PubMed
description IGF-I shares structural homology and in vitro metabolic activity with insulin. Laboratory models suggest that IGF-I and its binding proteins IGFBP-1 and IGFBP-2 have potentially beneficial effects on diabetes risk, whereas IGFBP-3 may have adverse effects. We therefore conducted a prospective nested case-control investigation of incident diabetes (n = 742 case subjects matched 1:1 to control subjects) and its associations with IGF-axis protein levels in the Nurses’ Health Study, a cohort of middle-aged women. The median time to diabetes was 9 years. Statistical analyses were adjusted for multiple risk factors, including insulin and C-reactive protein. Diabetes risk was fivefold lower among women with baseline IGFBP-2 levels in the top versus bottom quintile (odds ratio [OR](q5–q1) = 0.17 [95% CI 0.08–0.35]; P trend < 0.0001) and was also negatively associated with IGFBP-1 levels (OR(q5–q1) = 0.37 [0.18–0.73]; P trend = 0.0009). IGFBP-3 was positively associated with diabetes (OR(q5–q1) = 2.05 [1.20–3.51]; P trend = 0.002). Diabetes was not associated with total IGF-I levels, but free IGF-I and diabetes had a significant association that varied (P interaction = 0.003) by insulin levels above the median (OR(q5–q1) = 0.48 [0.26–0.90]; P trend = 0.0001) versus below the median (OR(q5–q1) = 2.52 [1.05–6.06]; P trend < 0.05). Thus, this prospective study found strong associations of incident diabetes with baseline levels of three IGFBPs and free IGF-I, consistent with hypotheses that the IGF axis might influence diabetes risk.
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spelling pubmed-34254262013-09-01 Insulin-Like Growth Factor Axis and Risk of Type 2 Diabetes in Women Rajpathak, Swapnil N. He, Meian Sun, Qi Kaplan, Robert C. Muzumdar, Radhika Rohan, Thomas E. Gunter, Marc J. Pollak, Michael Kim, Mimi Pessin, Jeffrey E. Beasley, Jeannette Wylie-Rosett, Judith Hu, Frank B. Strickler, Howard D. Diabetes Metabolism IGF-I shares structural homology and in vitro metabolic activity with insulin. Laboratory models suggest that IGF-I and its binding proteins IGFBP-1 and IGFBP-2 have potentially beneficial effects on diabetes risk, whereas IGFBP-3 may have adverse effects. We therefore conducted a prospective nested case-control investigation of incident diabetes (n = 742 case subjects matched 1:1 to control subjects) and its associations with IGF-axis protein levels in the Nurses’ Health Study, a cohort of middle-aged women. The median time to diabetes was 9 years. Statistical analyses were adjusted for multiple risk factors, including insulin and C-reactive protein. Diabetes risk was fivefold lower among women with baseline IGFBP-2 levels in the top versus bottom quintile (odds ratio [OR](q5–q1) = 0.17 [95% CI 0.08–0.35]; P trend < 0.0001) and was also negatively associated with IGFBP-1 levels (OR(q5–q1) = 0.37 [0.18–0.73]; P trend = 0.0009). IGFBP-3 was positively associated with diabetes (OR(q5–q1) = 2.05 [1.20–3.51]; P trend = 0.002). Diabetes was not associated with total IGF-I levels, but free IGF-I and diabetes had a significant association that varied (P interaction = 0.003) by insulin levels above the median (OR(q5–q1) = 0.48 [0.26–0.90]; P trend = 0.0001) versus below the median (OR(q5–q1) = 2.52 [1.05–6.06]; P trend < 0.05). Thus, this prospective study found strong associations of incident diabetes with baseline levels of three IGFBPs and free IGF-I, consistent with hypotheses that the IGF axis might influence diabetes risk. American Diabetes Association 2012-09 2012-08-17 /pmc/articles/PMC3425426/ /pubmed/22554827 http://dx.doi.org/10.2337/db11-1488 Text en © 2012 by the American Diabetes Association. 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.
spellingShingle Metabolism
Rajpathak, Swapnil N.
He, Meian
Sun, Qi
Kaplan, Robert C.
Muzumdar, Radhika
Rohan, Thomas E.
Gunter, Marc J.
Pollak, Michael
Kim, Mimi
Pessin, Jeffrey E.
Beasley, Jeannette
Wylie-Rosett, Judith
Hu, Frank B.
Strickler, Howard D.
Insulin-Like Growth Factor Axis and Risk of Type 2 Diabetes in Women
title Insulin-Like Growth Factor Axis and Risk of Type 2 Diabetes in Women
title_full Insulin-Like Growth Factor Axis and Risk of Type 2 Diabetes in Women
title_fullStr Insulin-Like Growth Factor Axis and Risk of Type 2 Diabetes in Women
title_full_unstemmed Insulin-Like Growth Factor Axis and Risk of Type 2 Diabetes in Women
title_short Insulin-Like Growth Factor Axis and Risk of Type 2 Diabetes in Women
title_sort insulin-like growth factor axis and risk of type 2 diabetes in women
topic Metabolism
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3425426/
https://www.ncbi.nlm.nih.gov/pubmed/22554827
http://dx.doi.org/10.2337/db11-1488
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