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Fig. 1 | Genome Medicine

Fig. 1

From: Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes

Fig. 1

Analysis of intact lipids in the blood plasma of individuals with lipodystrophy or insulin receptoropathies compared with matched controls. a Two typical MS spectra from a control (in black) and an individual with lipodystrophy (in red, shown inverted). b O2PLS-DA analysis of the intact lipid dataset for the control (CON), lipodystrophic (LD) and insulin receptoropathy (INSR) groups (48 individuals in total; controls = 27, LD = 14, INSR = 7). The first two O2PLS-DA components are shown (R2(X) = 49.5%; R2(Y) = 51.5%; Q2 = 35.8%; two O2PLS-DA components were fitted). c O2PLS-DA model of the control and LD groups. Note only one component is shown as this was the only component that passed validation (the x-axis is arbitrary and the order applied is purely for ease of viewing; R2(X) = 45.6%; R2(Y) = 57.4%; Q2 = 52.6%; one O2PLS-DA component fitted). d Predicted class membership of the two groups in (c). Control samples should score 1 and LD samples should score 0 in a perfect model. e O2PLS-DA model of the INSR and LD groups. One O2PLS-DA component is shown alongside an orthogonal component (R2(X) = 74.7%; R2(Y) = 89.7%; Q2 = 62.8%; one O2PLS-DA component and three orthogonal components fitted). f Predicted class membership for the model in (e). LD samples should score 1 and INSR samples should score 0 in a perfect model. g O2PLS-DA model of the control and INSR groups. One O2PLS-DA component and one orthogonal component is shown (R2(X) = 36.4%; R2(Y) = 63.8%; Q2 = 33.2%; one O2PLS-DA component and one orthogonal component fitted). h Predicted class membership for the model in (g). Control samples should score 1 and INSR samples should score 0 in a perfect model

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