| Literature DB >> 23298392 |
Bertrand Cariou1, Cédric Langhi, Maëlle Le Bras, Murielle Bortolotti, Kim-Anne Lê, Fanny Theytaz, Cédric Le May, Béatrice Guyomarc'h-Delasalle, Yassine Zaïr, Roland Kreis, Chris Boesch, Michel Krempf, Luc Tappy, Philippe Costet.
Abstract
BACKGROUND: PCSK9 (Proprotein Convertase Subtilisin Kexin type 9) is a circulating protein that promotes hypercholesterolemia by decreasing hepatic LDL receptor protein. Under non interventional conditions, its expression is driven by sterol response element binding protein 2 (SREBP2) and follows a diurnal rhythm synchronous with cholesterol synthesis. Plasma PCSK9 is associated to LDL-C and to a lesser extent plasma triglycerides and insulin resistance. We aimed to verify the effect on plasma PCSK9 concentrations of dietary interventions that affect these parameters.Entities:
Year: 2013 PMID: 23298392 PMCID: PMC3548771 DOI: 10.1186/1743-7075-10-4
Source DB: PubMed Journal: Nutr Metab (Lond) ISSN: 1743-7075 Impact factor: 4.169
Figure 1Oral fat load test in healthy volunteers and two carriers of dominant negative loss-of-function double mutation R104C/V114A. These subject were previously shown to have no or reduced plasma PCSK9 (22). (A) Plasma TG and (B) plasma PCSK9 concentrations were determined at various time points after the oral fat load. For the subject 1, plasma PCSK9 was undetectable all through the test. Data represent means ± SEM.
Figure 2Effects of short-term dietary interventions. Fasting plasma PCSK9 concentrations (A-D) and LDL-C and plasma TG concentrations (B-D) following (A) 4-day high fat (HF) or high fat/high protein (HF-HP); 7-day high fructose (HFruc1) diets in either (B) healthy volunteers or (C) healthy offsprings of type 2 diabetic (OffT2D); (D) 6-day high fructose (HFruc2) diet in healthy volunteers. Results are expressed as means ± SEMs. *: p<0.05, **: p<0.01; ***: p<0.001.
Figure 3Effects of short-term high fat (HF) and high fructose (HFRuc1) diets on markers of cholesterol synthesis. Ratios of lathosterol to cholesterol following (A) HF diet in plasma in healthy volunteers and, (B) HFruc1 diet in OffT2D subjects. Results are expressed as means ± SEMs. *: p<0.05, **: p<0.01; ***: p<0.001.
Correlations between plasma PCSK9 and metabolic parameters
| FPG (mg/dl) | −0,040 | 0,859 | 22 | 0,266 | 0,232 | 22 |
| GIR (1st) | −0,084 | 0,710 | 22 | −0,593 | 22 | |
| GIR (2nd) | 0,045 | 0,844 | 22 | −0,439 | 22 | |
| HGP | −0,189 | 0,412 | 22 | −0,019 | 0,934 | 22 |
| HGP (1st) | 0,003 | 0,991 | 22 | 0,542 | 22 | |
| HGP (2nd) | −0,143 | 0,526 | 22 | 0,116 | 0,608 | 22 |
| FFA (mmol/l) | −0,317 | 0,150 | 22 | −0,054 | 0,811 | 22 |
| IHCL | 0,182 | 0,417 | 22 | 0,558 | 22 | |
| IMCL | 0,381 | 0,080 | 22 | 0,195 | 0,385 | 22 |
| CT(mg/dl) | 0,095 | 0,673 | 22 | 0,364 | 0,096 | 22 |
| LDL-C (mg/dl) | 0,178 | 0,427 | 22 | 0,344 | 0,117 | 22 |
| TG (mg/dl) | 0,267 | 0,230 | 22 | 0,538 | 22 | |
| VLDL-TG (mg/dl) | 0,341 | 0,120 | 22 | 0,608 | 22 | |
| HDL-C (mg/dl) | −0,343 | 0,118 | 22 | 0,006 | 0,980 | 22 |
Spearman’s correlations between plasma PCSK9 levels and metabolic parameters in healthy volunteers (n=7) and offsprings of type 2 diabetic patients (n=15) after an isocaloric control (CTRL) or a high fructose (HFruc1) diet [24]. Data from both groups of patients were pooled to increase statistical power. GIR: glucose infusion rate, HGP: hepatic glucose production, IHCL: intrahepatocellular lipid content, IMCL: intramyocellular lipid content, FPG: fasting plasma glucose, 1st indicates the first step (0.3 mU.kg-1.min-1) and 2st the second step (1.0 mU.kg-1.min-1) of the hyperinsulinemic-euglycemic clamp.
Figure 4Correlations between plasma PCSK9 levels (ng/ml) and (A) glucose infusion rate (GIR) during the 1st step of hyperinsulinemic-euglycemic clamp (mg/kg/min), (B) hepatic glucose production (HGP) during the 1st step of hyperinsulinemic-eugyclemic clamp (mg/kg/min), (C) intrahepatocellular lipid content (IHCL)(mmol/kg), and (D) VLDL-TG (mmol/l) in healthy volunteers (n=7) and OffT2D subjects (n=15) under a HFruc diet. Correlations were made using Spearman’s correlation test.