Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder effecting millions of people worldwide. T2DM is associated with insulin resistance and adipose tissue dysfunction which promote ectopic fat deposition and lipotoxicity in muscle, liver, and pancreatic beta cells. However, the impact of dysfunctional adipose tissue has not been fully elucidated. Here we examined the adipose tissue (SAT), visceral adipose tissue (VAT), hepatic fat fraction (HFF) and pancreatic fat fraction (PFF) difference between T2DM and age-matched healthy controls using the 6-point Dixon MRI technique and assess relationship with biochemical markers of insulin resistance. We observed trend of increasing VAT, SAT and TAT volume in T2DM patients along with significantly higher HFF% and PFF%. HbA1c in T2DM patients were positively correlated with VAT, total adipose tissue and HFF%. Our preliminary results of increased SAT and VAT reaffirmed that central obesity is connected with the evolution of T2DM. Increased HFF% and correlation of increased HbA1c with increased HFF% in T2DM suggested that T2DM patients suffer from nonalcoholic fatty liver disease. In summary, increased liver, pancreatic fat, and adipose tissue characterize T2DM patients and the insulin resistance. Better understanding of these results will help us in formulate early intervention strategies and to evaluate the efficacy of therapies.
The study participants consisted of twelve T2DM patients (age=59.8±5.8 years), nine age-matched healthy controls (AMHC) (age=60.9±7.8 years). We also added a group of eleven young healthy control (YHC) (age=27.8±3.0 years) to study the reliability of 6-point Dixon and compared with other two groups. A Siemens 3T Prisma MRI Scanner with a surface matrix array and a spinal phased-array coil was used. Abdominal MRI was performed using a 3D GRE VIBE 6-point Dixon sequence with the following parameters: voxel size=1.187x1.187x3 mm3, slices=52, matrix size=320x240, TR=8.85 ms, bandwidth=1080 Hz/px, flip-angel=50 and shortest possible TEs (equidistant with TE1=1.23 ms and an echo time shift of 1.23 ms). Using the water-only and fat-only images of the Dixon technique, fat fraction and water fraction were calculated by the MR image reconstruction computer as parametric maps10. For T2DM subjects, the following additional clinical data were collected: HbA1c, fasting serum triglycerides, and fasting serum LDL cholesterol.
We used the image analysis software slice-O-matic (Tomovision, Canada) to quantify SAT and VAT (Fig.1(A)). A single trained observer guided by an experienced radiologist performed the image analysis11. Hepatic fat fraction (HFF) was measured by ROI selected in homogeneous sections of the liver (Fig.1(B)). To calculate pancreatic fat fraction (PFF), one ROI was placed each in the head, body, and tail of the pancreas (Fig.1(C)). Statistical analysis was done using the SPSS software and significance level was set at p<0.05. Partial correlation controlling for age, gender and BMI was applied to identify the relationship among different measures.
This research was supported by a grant from NIH/NIBIB: (R21EB02088302).
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