Measurement of intraorgan fat and hepatic output of triglycerides in human type 2 diabetes by magnetic resonance and intralipid infusion techniques

Figures

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  Figure 1. Color map showing liver fat distribution in a person with type 2 diabetes and a non-diabetic control Two males aged 59 and 61 years, body weight 131.8 and 85.9 kg, with and without type 2 diabetes, respectively, were studied. MR data were acquired using 3-point Dixon as explained in the programming of scanner section. Data were processed in MATLAB to create fat faction image (Figure S1). The color image was generated in MATLAB from the fat fraction image (3-point Dixon).

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  Figure 2. Color map showing pancreas fat distribution in a person with type 2 diabetes and a non-diabetic control Two females aged 61 and 62 years, body weight 97.4 and 68.8 kg, with and without type 2 diabetes (NDC), respectively, were studied. The subject with type 2 diabetes (T2DM) has high intrapancreatic fat infiltration. MR data were acquired and processed as in Figure 1, and then the color image was generated in MATLAB. The polygon tool in ImageJ was used to draw a region of interest around the borders of the pancreas (dotted yellow).

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  Figure 3. Example of measuring the slope of VLDL1-TG increment during 75-min intralipid infusion in a person with type 2 diabetes and a matching non-diabetic control Two males aged 59 and 61 years with body weight 131.8 and 85.9 kg, with and without type 2 diabetes, respectively. Intralipid was infused for 75 min, collected blood samples were processed, the VLDL1 fraction was separated, and TG content was determined. (A): Type 2 diabetes, (B) non-diabetic control. Note the steeper gradient of the line in the former, indicating a higher rate of production of VLDL1-TG.