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Usage Information

Insulin-like growth factor-I improves glucose and lipid metabolism in type 2 diabetes mellitus.
P D Zenobi, S E Jaeggi-Groisman, W F Riesen, M E Røder, E R Froesch
P D Zenobi, S E Jaeggi-Groisman, W F Riesen, M E Røder, E R Froesch
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Research Article

Insulin-like growth factor-I improves glucose and lipid metabolism in type 2 diabetes mellitus.

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Abstract

Hyperglycemia, hyperinsulinemia, and insulin resistance cause vascular disease in type 2 diabetes mellitus. Dietary treatment alone often fails and oral drugs or insulin enhance hyperinsulinemia. In previous studies, an intravenous bolus of recombinant human insulin-like growth factor-I (rhIGF-I) caused normoglycemia in insulin-resistant diabetics whereas rhIGF-I infusions lowered insulin and lipid levels in healthy humans, suggesting that rhIGF-I is effective in insulin-resistant states. Thus, eight type 2 diabetics on a diet received on five treatment days subcutaneous rhIGF-I (2 x 120 micrograms/kg) after five control days. Fasting and postprandial glucose, insulin, C-peptide, proinsulin, glucagon, triglyceride, insulin-like growth factor-I and -II, and growth hormone levels were determined. RhIGF-I administration increased total IGF-I serum levels 5.3-fold above control. During the control period mean (+/- SD) fasting glucose, insulin, C-peptide, and total triglyceride levels were 11.0 +/- 4.3 mmol/liter, 108 +/- 50 pmol/liter, 793 +/- 250 pmol/liter, and 3.1 +/- 2.7 mmol/liter, respectively, and decreased during treatment to a nadir of 6.6 +/- 2.5 mmol/liter, 47 +/- 18 pmol/liter, 311 +/- 165 pmol/liter, and 1.6 +/- 0.8 mmol/liter (P < 0.01), respectively. Postprandial areas under the glucose, insulin, and C-peptide curve decreased to 77 +/- 13 (P < 0.02), 52 +/- 11, and 60 +/- 9% (P < 0.01) of control, respectively. RhIGF-I decreased the proinsulin/insulin ratio whereas glucagon levels remained unchanged. The magnitude of the effects of rhIGF-I correlated with the respective control levels. Since rhIGF-I appears to improve insulin sensitivity directly and/or indirectly, it may become an interesting tool in type 2 diabetes and other states associated with insulin resistance.

Authors

P D Zenobi, S E Jaeggi-Groisman, W F Riesen, M E Røder, E R Froesch

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Usage data is cumulative from October 2025 through October 2026.

Usage JCI PMC
Text version 457 19
PDF 198 2
Scanned page 832 1
Citation downloads 291 0
Totals 1,778 22
Total Views 1,800
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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