| Literature DB >> 30377591 |
Ali Javandoost1, Asma Afshari2, Maryam Saberi-Karimian3, Amirhosein Sahebkar4, Hamideh Safarian1, Maliheh Moammeri1, Behdokht Fathi Dizaji5, Shima Tavalaei1, Gordon A Ferns6, Alireza Pasdar5,7, Seyed Mohammad Reza Parizadeh1, Majid Ghayour-Mobarhan1,8.
Abstract
OBJECTIVE: Cholesteryl Ester Transfer Protein (CETP) mediates the transfer of cholesteryl ester from HDL-C to LDL-C and VLDL-C. The aim of the present trial was to evaluate the effect of curcumin and its modified formulation on serum CETP concentrations in patients with metabolic syndrome.Entities:
Keywords: Atherogenesis; CETP; Curcumin; HDL-C; Metabolic syndrome
Year: 2018 PMID: 30377591 PMCID: PMC6204148
Source DB: PubMed Journal: Avicenna J Phytomed ISSN: 2228-7930
Figure 1Flow chart of participants
Baseline demographic clinical and biochemical variables of participants in the three groups
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| 0.43±0.17 | 0.47±0.13 | 0.42±0.14 | 0.11 |
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| 81.9±1.1 | 85.32±1.7 | 83.7±1.0 | 0.01 |
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| 31.3±3.3 | 31.8±5.4 | 32.2±5.2 | 0.18 |
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| 101.7±9 | 104.6±9.8 | 104±9.2 | 0.06 |
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| 35.16±6.4 | 35.12±8.3 | 36.4±9.8 | 0.8 |
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| 101.06±25.3 | 99.25±24.1 | 96.72±18.17 | 0.47 |
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| 121.1±12.0 | 124.00±9.8 | 122.80±7.8 | 0.35 |
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| 82.38±10.46 | 86.52±10.58 | 83.88±9.31 | 0.78 |
WC, waist circumferences; FBG, fasting blood glucose; DBP; diastolic blood pressure, SBP; systolic blood pressure. Values are expressed as mean±SD.
CETP and biochemical factors changes (delta, Δ) before and after intervention among the three groups
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| 0.43(0.17) | 244.97(40.80) | 169.73(88.70) | 52.93(9.14) | 157.34(35.10) | 99.10(24.55) |
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| 0.49(0.62) | 246.67(48.90) | 153.53(60.90) | 51.97(7.39) | 159.48(40.55) | 101.83(15.63) | |
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| 15.29 | 1.10 | -1.74 | -0.65 | 1.74 | 6.22 | |
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| 0.3 | 0.6 | 0.04 | 0.6 | 0.6 | 0.3 | |
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| 0.47(0.13) | 232.41(49.24) | 195.86(81.62) | 48.83(11.07) | 142.55(39.58) | 98.50(21.80) |
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| 0.65(0.39) | 224.68(47.60) | 189.86(75.99) | 48.26(10.17) | 137.30(40.23) | 107.59(13.33) | |
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| 49.97 | -2.94 | 1.49 | -0.51 | -3.72 | 12.86 | |
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| 0.04 | 0.05 | 0.8 | 1 | 0.1 | 0.1 | |
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| 0.43(0.15) | 249.6(43.51) | 187.9(51.64) | 51.37(7.75) | 163.41(37.22) | 99.20(14.76) |
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| 0.43(0.13) | 224.9(40.59) | 154.28(54.36) | 48.74(7.89) | 146.70(27.27) | 102.15(16.34) | |
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| 7.19 | -9.03 | -15.22 | -3.91 | -7.48 | 3.17 | |
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| 0.9 | 0.04 | 0.007 | 0.4 | 0.03 | 0.3 | |
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| 0.1 | 0.04 | 0.09 | 0.5 | 0.07 | 0.4 | |
Data are presented as mean±standard deviation; the mean difference is significant at 0.05.
Based on Wilcoxon test
Based on Kruskal-Wallis test
Correlations between curcumin changes (delta, Δ) and biochemical factors among the three groups.
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| p-value for interactions | |||||
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| 0.17 | 0.24 | 0.10 | 0.49 | -0.001 | 0.95 | 0.2 |
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| 0.06 | 0.63 | 0.03 | 0.80 | 0.02 | 0.88 | 0.2 |
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| 0.10 | 0.46 | -0.38 | 0.09 | 0.08 | 0.57 | 0.1 |
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| 0.11 | 0.45 | -0.35 | 0.01 | 0.24 | 0.11 | 0.8 |
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| 0.09 | 0.52 | -0.20 | 0.18 | 0.01 | 0.92 | 0.3 |
HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; FBG, fasting blood glucose.