Quantification of ectopic fat storage in the liver and pancreas using six-point Dixon MRI and its association with insulin sensitivity and β-cell function in patients with central obesity

Cao, Mengdie; Wu, Wen-Jun; Chen, Jingwen; Fang, Xiangming; Ren, Yang; Zhu, Xiaoyun; Cheng, Haiyan; Tang, Qikai

doi:10.1007/s00330-023-09856-x

Cited by 7 publications

(6 citation statements)

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“…Levelt et al ( 7 ) found that diabetes, regardless of obesity, is associated with an increase in hepatic triglyceride content. Cao et al ( 26 ) observed that patients with T2DM and prediabetes have higher HFF compared to individuals with normal glucose tolerance. Our findings were consistent with these results.…”

Section: Discussionmentioning

confidence: 99%

“…Magnetic resonance imaging (MRI) enables fat fraction (FF) mapping through chemical shift encoding, and the FF is commonly defined as the percentage of proton density of fat molecules relative to the combined proton density of water and fat molecules ( 19 , 20 ). Compared with traditional imaging techniques such as dual-energy x-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA), FF mapping by MRI can provide fast and accurate evaluation of the fat composition of the whole body, and it has been widely applied in the assessment of abdominal muscle (AM) ( 21 – 24 ), BMAT ( 23 – 25 ), and ectopic fat deposition ( 25 , 26 ).…”

Section: Introductionmentioning

confidence: 99%

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Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping

An,

Zhang,

Wang

et al. 2024

Front. Public Health

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PurposeTo explore the association between type 2 diabetes mellitus (T2DM) and body composition based on magnetic resonance fat fraction (FF) mapping.MethodsA total of 341 subjects, who underwent abdominal MRI examination with FF mapping were enrolled in this study, including 68 T2DM patients and 273 non-T2DM patients. The FFs and areas of visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and abdominal muscle (AM) were measured at the level of the L1-L2 vertebral. The FF of bone marrow adipose tissue (BMAT) was determined by the averaged FF values measured at the level of T12 and L1 vertebral, respectively. The whole hepatic fat fraction (HFF) and pancreatic fat fraction (PFF) were measured based on 3D semi-automatic segmentation on the FF mapping. All data were analyzed by GraphPad Prism and MedCalc.ResultsVAT area, VAT FF, HFF, PFF of T2DM group were higher than those of non-T2DM group after adjusting for age and sex (P < 0.05). However, there was no differences in SAT area, SAT FF, BMAT FF, AM area and AM FF between the two groups (P > 0.05). VAT area and PFF were independent risk factors of T2DM (all P < 0.05). The area under the curve (AUC) of the receiver operating characteristic (ROC) for VAT area and PFF in differentiating between T2DM and non-T2DM were 0.685 and 0.787, respectively, and the AUC of PFF was higher than VAT area (P < 0.05). Additionally, in seemingly healthy individuals, the SAT area, VAT area, and AM area were found to be significantly associated with being overweight and/or obese (BMI ≥ 25) (all P < 0.05).ConclusionsIn this study, it was found that there were significant associations between T2DM and VAT area, VAT FF, HFF and PFF. In addition, VAT area and PFF were the independent risk factors of T2DM. Especially, PFF showed a high diagnostic performance in discrimination between T2DM and non-T2DM. These findings may highlight the crucial role of PFF in the pathophysiology of T2DM, and it might be served as a potential imaging biomarker of the prevention and treatment of T2DM. Additionally, in individuals without diabetes, focusing on SAT area, VAT area and AM area may help identify potential health risks and provide a basis for targeted weight management and prevention measures.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping

An,

Zhang,

Wang

et al. 2024

Front. Public Health

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“…Obesity can lead to an increased risk of cardiovascular disease, diabetes, and even cancer . When body fat increases beyond the storage capacity of the adipose tissue, it is stored in nonadipose organs, such as the liver and pancreas . Pancreatic steatosis (PS) was originally described in 1933 .…”

Section: Introductionmentioning

confidence: 99%

“… 3 When body fat increases beyond the storage capacity of the adipose tissue, it is stored in nonadipose organs, such as the liver and pancreas. 4 Pancreatic steatosis (PS) was originally described in 1933. 5 Increasing evidence suggests that PS is associated with type 2 diabetes, metabolic syndrome, atherosclerosis, acute severe pancreatitis, and pancreatic cancer.…”

Section: Introductionmentioning

confidence: 99%

Uric Acid Inhibits Mice Pancreatic Steatosis via the Glycerophospholipid Pathway

Xiao,

Han,

Wang

et al. 2024

ACS Omega

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Background: despite evidence for mutually reinforcing effects of serum uric acid (SUA) and lipids, the effects of uric levels on pancreatic steatosis are not well-established. In this study, the relationship between low concentrations of uric acid and pancreatic steatosis was evaluated. Methods: forty C57BL/6J mice were fed a diet of high uric acid (HU), high fat (HF), high uric acid and high fat (HUHF), and normal control (NC) (10 mice in each group). Weight was measured weekly. Ultrasonography was performed to observe the pancreatic echo intensity of all mice before the end of feeding. Subsequently, peripheral blood was taken for biochemical examination. Intact pancreatic tissues were taken, part of which was used for pathological examination, part of which was used for PCR experiments and Western Blot experiments to obtain glycerophospholipid-associated mRNA data and protein levels. Results: body weight was significantly higher in the HF group than in the other three groups. Higher uric acid matched lower total cholesterol and triglyceride, matched higher low-density lipoprotein, and matched equal high-density lipoprotein. Ultrasound images and HE staining of pancreatic tissues of mice showed that higher uric acid matched lower fat content. The mRNA levels of phospholipase A2 group IB were highest in high uric acid group, while relative protein expression levels were lowest in high uric acid and control groups. Phospholipase A2 group IIA showed the opposite patterns. Conclusions: elevated serum uric acid at low concentrations can inhibit pancreatic steatosis, which is modulated via the glycerophospholipid metabolic pathway.

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“… 1 When the body fat content exceeds the storage capacity of the adipose tissue, it will be stored in non-fatty tissues, such as the liver and pancreas. 2 Non-alcoholic fatty liver disease (NAFLD) is the most common liver metabolic disease worldwide, affecting approximately one-quarter of adults and children. 3 The relationship between non-alcoholic fatty pancreas disease (NAFPD) and NAFLD is complex.…”

Section: Introductionmentioning

confidence: 99%

Predictive value of anthropometric and biochemical indices in non-alcoholic fatty pancreas disease: a cross-sectional study

Xiao,

Wang,

Han

et al. 2024

BMJ Open

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ObjectivesTriglyceride (TG), triglyceride-glucose index (TyG), body mass index (BMI), TyG-BMI and triglyceride to high-density lipoprotein ratio (TG/HDL) have been reported to be reliable predictors of non-alcoholic fatty liver disease. However, there are few studies on potential predictors of non-alcoholic fatty pancreas disease (NAFPD). Our aim was to evaluate these and other parameters for predicting NAFPD.DesignCross-sectional study design.SettingPhysical examination centre of a tertiary hospital in China.ParticipantsThis study involved 1774 subjects who underwent physical examinations from January 2016 to September 2016.Primary and secondary outcome measuresFrom each subject, data were collected for 13 basic physical examination and blood biochemical parameters: age, weight, height, BMI, TyG, TyG-BMI, high-density lipoprotein (HDL), low-density lipoprotein, total cholesterol, TG, fasting plasma glucose, TG/HDL and uric acid. NAFPD was diagnosed by abdominal ultrasonography. A logistic regression model with a restricted cubic spline was used to evaluate the relationship between each parameter and NAFPD. The receiver operating characteristic (ROC) curve was used to calculate the area under the curve for each parameter.ResultsHDL was negatively correlated with NAFPD, height was almost uncorrelated with NAFPD and the remaining 11 parameters were positively correlated with NAFPD. ROC curve showed that weight-related parameters (weight, BMI and TyG-BMI) and TG-related parameters (TyG, TG and TG/HDL) had high predictive values for the identification of NAFPD. The combinations of multiple parameters had a better prediction effect than a single parameter. All the predictive effects did not differ by sex.ConclusionsWeight-related and TG-related parameters are good predictors of NAFPD in all populations. BMI showed the greatest predictive potential. Multiparameter combinations appear to be a good way to predict NAFPD.

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Quantification of ectopic fat storage in the liver and pancreas using six-point Dixon MRI and its association with insulin sensitivity and β-cell function in patients with central obesity

Cited by 7 publications

References 54 publications

Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping

Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping

Uric Acid Inhibits Mice Pancreatic Steatosis via the Glycerophospholipid Pathway

Predictive value of anthropometric and biochemical indices in non-alcoholic fatty pancreas disease: a cross-sectional study

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