Free insulin-like growth factors in human obesity

Frystyk, Jan; Vestbo, E.; Skjærbæk, Christian; Mogensen, Carl Erik; Ørskov, Hans

doi:10.1016/0026-0495(95)90219-8

Cited by 332 publications

(243 citation statements)

References 37 publications

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“…The increases in IGFBP-1 and -2 most likely caused a reduction in circulating free IGF-IFa small fraction of circulating IGF-I that is not bound by any IGF-binding protein, and that probably reflects the fraction most rapidly available to tissues for binding to cellular receptors. Other studies (Frystyk et al, 1995;Nam et al, 1997;Nyomba et al, 1997) have shown inverse correlations of plasma IGFBP-1 and -2 with plasma free IGF-I levels. Unfortunately, we had technical problems with an assay kit for measurement of free IGF-I, and thus All P-values are adjusted for treatment/intervention status, age class, insulin level, testosterone level.…”

Section: Discussionmentioning

confidence: 83%

Effects of dietary intervention on IGF-I and IGF-binding proteins, and related alterations in sex steroid metabolism: the Diet and Androgens (DIANA) Randomised Trial

et al. 2003

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Objective: To assess the effects of a comprehensive change in dietary composition on endogenous hormone metabolism. The specific aim was to examine whether this intervention could lead to favourable changes in insulin sensitivity, levels of IGF-I and IGF-binding proteins (IGFBPs), and total and bioavailable testosterone and estradiol, that would be expected to reduce breast cancer risk. Design: Randomised dietary intervention study; duration of 5 months. Subjects: From a total of 99 postmenopausal women, who had elevated baseline plasma testosterone levels, 49 women were randomly assigned to the dietary intervention arm and the other 50 to a control group. Interventions: Main aspects of the dietary intervention were reductions in the intake of total fat and refined carbohydrates, an increase in the ratio of n-3 over n-6 plus saturated fatty acids, and increased intakes of foods rich in dietary fibre and phytooestrogens. Results: Relative to the control group, women of the intervention group showed a significant reduction of body weight, waist circumference, fasting serum levels of testosterone, C peptide, glucose, and insulin area after glucose tolerance test, and a significant increase of serum levels of sex hormone-binding globulin, IGFBP-1, -2, and growth hormone-binding protein. Serum levels of IGF-I did not change. Conclusion: This comprehensive dietary intervention strategy proved to be successful in inducing changes in endogenous hormone metabolism that might eventually result in reduced breast cancer risk. Additional studies are needed to show whether the dietary intervention and related hormonal changes can be both maintained over longer periods, of at least several years.

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Section: Discussionmentioning

confidence: 83%

Effects of dietary intervention on IGF-I and IGF-binding proteins, and related alterations in sex steroid metabolism: the Diet and Androgens (DIANA) Randomised Trial

et al. 2003

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“…For example, serum insulin and IGF-I levels are elevated in obesity. 15,16 Insulin and IGF-I activate the mTOR-AKT pathway, resulting in increased proliferation and decreased apoptosis. 17 In animals, dietary-induced increased serum IGF-I and insulin levels are associated with increased PC growth.…”

Section: Discussionmentioning

confidence: 99%

Preoperative weight change and risk of adverse outcome following radical prostatectomy: results from the Shared Equal Access Regional Cancer Hospital database

Whitley

Moreira

Thomas

et al. 2011

Prostate Cancer Prostatic Dis

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BACKGROUND:We examined the relationship between weight change in the year before radical prostatectomy (RP) and biochemical recurrence (BCR) and adverse pathology. METHODS:We abstracted data from 359 men undergoing RP in the SEARCH (Shared Equal Access Regional Cancer Hospital) database between [2001][2002][2003][2004][2005][2006][2007]. Logistic regression and Cox proportional hazards models were used to test the association between weight change in the year before surgery and adverse pathology and BCR, respectively. RESULTS:In all, 152 (42%) men gained weight, 193 (54%) lost weight and 14 (4%) had the same weight. Among weight gainers, median gain was 2.4 kg and among weight losers, median loss was 2.7 kg. As a continuous variable, weight change was not associated with adverse pathology or BCR (all P40.05). In secondary analysis, on multivariate analysis, men gaining X2.5 kg were at higher BCR risk (hazards ratio ¼ 1.65, 95% confidence interval (CI): 1.03-2.64, P ¼ 0.04) while weight loss X2.5 kg was not associated with BCR (hazards ratio ¼ 0.83, 95% CI: 0.54-1.29, P ¼ 0.41). CONCLUSIONS:As a continuous variable, weight change was not associated with outcome. In secondary hypothesisgenerating analyses, weight gain X2.5 kg in the year before surgery, regardless of final body mass index, was associated with increased BCR following RP. If validated, these data suggest weight gain X2.5 kg may promote prostate cancer progression.

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“…A potential mechanism by which obesity may increase kidney cancer risk involves increased levels of insulin-like growth factor (IGF) or lipid peroxidation. Increasing BMI is associated with elevated levels of fasting serum and free IGF-I among both men and women (Frystyk et al, 1995). Insulin-like growth factor-I stimulates cell proliferation and inhibits apoptosis, which could have a profound impact on tumour growth (Yu and Rohan, 2000).…”

Section: Discussionmentioning

confidence: 99%

Tobacco smoking, body mass index, hypertension, and kidney cancer risk in central and eastern Europe

et al. 2008

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In a case -control study of kidney cancer in four central European countries, with 1097 incident cases and 1476 controls, we found an increased risk for self-reported hypertension and for obesity. Additional unknown risk factors are likely to be responsible for the high rates of kidney cancer in this region. British Journal of Cancer (2008Cancer ( ) 99, 1912Cancer ( -1915 (Murai and Oya, 2004). Smoking is an established risk factor, although the increase in risk is moderate (IARC, 2004). Other possible risk factors are hypertension and obesity, with potentially differing risks for men and women (Shapiro et al, 1999;Bergstrom et al, 2001). To examine the risk factors for kidney cancer in central Europe, we conducted a large multicenter case -control study in Czech Republic, Poland, Russia, and Romania. We present here data on the role of smoking, hypertension, and body mass index (BMI) in this high-risk population. MATERIALS AND METHODSThis hospital-based case -control study was conducted in seven centres (Moscow (Russia), Bucharest (Romania), Lodz (Poland), and Prague, Olomouc, Ceske Budejovice, and Brno (Czech Republic)). A total of 1097 newly diagnosed, histologically confirmed, renal parenchymal cancers (ICD-O-2 code C64) between 20 and 79 years of age were recruited during August 1999 and January 2003. Trained medical staff reviewed medical records to extract relevant diagnostic information, including date and method of diagnosis, histologic type, tumour location, stage, and grade. Eligible controls (n ¼ 1476) were admitted to the same hospitals as the cases for conditions unrelated to smoking or genitourinary disorders (except for benign prostatic hyperplasia) between August 1998 and March 2003. No single disease made up more than 20% of the control group. Both cases and controls had to be residents of the study areas for at least 1 year. The response rate for cases ranged from 90 to 98.6% and for the controls, 90.3-96.1%.Trained interviewers used standardised questionnaires at all centres to elicit information on demographic background, smoking, alcohol drinking, dietary practices, height, weight, medical history, family history of cancer, residential history, and occupational history.Smoking status (never smoker, former smoker, current smoker) was defined as status 2 years before interview. Packyears were used as a measure of cumulative tobacco smoking and were calculated by the number of cigarettes smoked per day multiplied by years of smoking and divided by 20. History of hypertension was selfreported and a positive history was restricted to patients who reported being treated for hypertension. The weight in kilograms was ascertained for 2 years before the interview. Body mass index was calculated by dividing the weight by the square of the height in metres.Kidney cancer risks were estimated by odds ratios (ORs) and 95% confidence intervals (CIs) using logistic regression analysis, with adjustment for age (5-years interval), smoking (current, former, and never smokers), BMI in five categories (o25, 25...

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Free insulin-like growth factors in human obesity

Cited by 332 publications

References 37 publications

Effects of dietary intervention on IGF-I and IGF-binding proteins, and related alterations in sex steroid metabolism: the Diet and Androgens (DIANA) Randomised Trial

Effects of dietary intervention on IGF-I and IGF-binding proteins, and related alterations in sex steroid metabolism: the Diet and Androgens (DIANA) Randomised Trial

Preoperative weight change and risk of adverse outcome following radical prostatectomy: results from the Shared Equal Access Regional Cancer Hospital database

Tobacco smoking, body mass index, hypertension, and kidney cancer risk in central and eastern Europe

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