scholarly journals A substitution model of dietary manipulation is an effective means of optimising lipid profile, reducing C-reactive protein and increasing insulin-like growth factor-1

2004 ◽  
Vol 92 (5) ◽  
pp. 809-818 ◽  
Author(s):  
Adrian H. Heald ◽  
Cheryl Golding ◽  
Reena Sharma ◽  
Kirk Siddals ◽  
Sara Kirk ◽  
...  

There are two key methods in which fat intake may be manipulated; the ‘substitution model’ and the ‘reduction model’. However insufficient information is known about the mechanisms of dietary fat reduction in individuals who have successfully reduced their fat intake, to be clear as to which strategy offers the greatest chance of success. Our objective was to ascertain the most effective dietary intervention for improving cardiovascular risk profile. Eighty female volunteers (high fat consumers) were recruited. Each subject was randomly allocated into one of the following groups. Substitution of high-fat foods was made with reduced-fat products, by the reduction of high-fat foods, by a combination of substitution and reduction strategies, or no advice was given. Each intervention lasted 3 months. Anthropometric measures and fasting blood samples were taken at baseline and follow-up. The substitution intervention resulted in weight loss (mean −1.4 (95% CI −2.4, −0.2) kg) and reduced percentage body fat (mean −1.3 (95% CI −2.0, −0.5)%). There was no significant weight change with the other interventions. Fasting triacylglycerols (−0.2 (SEM 0.07) mM; P=0.04), cholesterol and C-reactive protein (CRP) levels (0.8 (SEM 0.2) mg/l; P=0.04) fell with the substitution intervention, but not with the other interventions. Insulin-like growth factor-1 increased with both substitution and reduction (P=0.02). There was no significant change in fasting insulin or glucose with any intervention. The substitution model of dietary intervention is effective even over a relatively short interval of time in reducing fasting total cholesterol, triacylglycerols and CRP. Although the group size for the present study was small and involved females only, it has significant implications for population intervention strategies.

Angiology ◽  
2006 ◽  
Vol 57 (3) ◽  
pp. 303-311 ◽  
Author(s):  
Georgios Efstratiadis ◽  
Georgios Tsiaousis ◽  
Vasilios G. Athyros ◽  
Despina Karagianni ◽  
Aikaterini Pavlitou-Tsiontsi ◽  
...  

2015 ◽  
Vol 83 (4) ◽  
pp. 474-477 ◽  
Author(s):  
Roman Dąbrowski ◽  
Marek Szczubiał ◽  
Krzysztof Kostro ◽  
Władysław Wawron ◽  
Jose J. Ceron ◽  
...  

2014 ◽  
Vol 82 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Supranee Jitpean ◽  
Bodil Ström Holst ◽  
Odd V. Höglund ◽  
Ann Pettersson ◽  
Ulf Olsson ◽  
...  

2016 ◽  
Vol 31 (11) ◽  
pp. 1868-1873 ◽  
Author(s):  
Ahmed Abdel-Razik ◽  
Waleed Eldars ◽  
Rania Elhelaly ◽  
Rasha Elzehery

2013 ◽  
Author(s):  
Χρυσούλα Παπαστάθη

Objective: To investigate the Growth Hormone (GH)/Insulin-like Growth Factor-I (IGF-I)axis and identify the factors that determine IGF-I levels in adult septic patients of variable severity,i.e., with sepsis, severe sepsis or septic shock, in the acute phase of disease.Design: Prospective study comparing septic patients treated in a general intensive care unitand healthy volunteers.Methods: In 107 consecutive septic patients (44 with sepsis, 13 with severe sepsis, and 50with septic shock), GH, IGF-I, Insulin-like Growth Factor Binding Protein-3 (IGFBP-3), insulin,cortisol, albumin, thyroid hormones, C-reactive protein and interleukin-6 serum levels weremeasured once within 48 hrs after onset of a septic episode. Twenty-nine healthy volunteers servedas controls.Results: IGF-I and IGFBP-3 levels were decreased in patients with sepsis and severe sepsis(versus controls), decreasing further in patients with septic shock (versus sepsis). IGF-I levels were positively related to IGFBP-3, albumin, triiodothyronine and thyroxine, and inversely related to cortisol, sepsis severity, C-reactive protein, interleukin-6 and age. In multiple regression analysis, IGF-I levels were independently related to IGFBP-3 and albumin (lower in patients with decreasedIGFBP-3 and albumin levels) (p<0.001 and p=0.01, respectively), and cortisol (lower in patientswith increased cortisol levels) (p=0.04). IGFBP-3 accounted for most of the variance explained bythe model (R2=0.519). GH levels were not related to IGF-I levels or mortality. IGF-I and IGFBP-3levels were associated with mortality.Conclusions: The GH/IGF-I axis is severely disrupted in septic patients. IGFBP-3 is themajor determinant of IGF-I levels, whereas albumin and cortisol are secondary determinants.


2013 ◽  
Vol 385 (1-2) ◽  
pp. 199-205 ◽  
Author(s):  
Shao-Jun Liu ◽  
Yun Zhong ◽  
Xiang-Yu You ◽  
Wei-Hua Liu ◽  
Ai-Qun Li ◽  
...  

2003 ◽  
Vol 170 (1) ◽  
pp. 79-86 ◽  
Author(s):  
Adrian H Heald ◽  
Simon G Anderson ◽  
Fiona Ivison ◽  
Ian Laing ◽  
J.Martin Gibson ◽  
...  

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