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Fig 1.

Sketch of the model.

Black solid line: exemplary trajectory of the TG/CE ratio of a hypothetical LDL particle with infinite retention time in plasma . The ratio decreases exponentially with rate r. Grey line: The corresponding asymptote . Dashed line: the observed molar TG/CE ratio in LDL , which is the mean of the TG/CE ratio of all present LDL particles.

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Fig 1 Expand

Fig 2.

Lipoprotein characteristics.

Quartiles in NL (black), HTG (green) and HCH (blue). (A) ApoB in the LDL subfractions, (B) CH and TG in total and CH in lipoprotein fractions (C) TG/CE ratios in HDL, LDL and its subfractions. Statistical significance determined by Mann-Whitney-U test (*p < 0.05, **p < 0.01).

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Fig 2 Expand

Table 1.

Stepwise linear multiple regression on ApoB in LDL.

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Table 1 Expand

Table 2.

Linear multiple regression on lipid composition in LDL’s subfractions.

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Table 2 Expand

Fig 3.

Estimating the influence of CETP on LDL’s lipid composition.

The bar represents the coefficient of determination R2 of a multiple linear regression model predicting using the two explanatory variables and V2: in 3 subgroups. Let r2(V1) and r2(V2) be the coefficients of determination, if only V1 or V2 are used as explanatory variable in a corresponding single linear regression, respectively. Three parts contribute to R2: V1 without V2 (white, R2-r2(V2)), V2 without V1 (black, R2-r2(V2)), and V1 and V2 intersecting (dashed, r2(V1)+ r2(V2)-R2).

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Fig 3 Expand

Fig 4.

LDL-FCR estimation.

Quartiles of the FCR estimator 1/LDLApoB (grey) and the model parameter (black). The model parameter is normalised to the median (dotted line) of 1/LDLApoB in ‘Total’).

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Fig 4 Expand

Table 3.

Comparison of correlations associated with 1/LDLApoB.

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Table 3 Expand