Skip to main content
Log in

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

  • Magnetic Resonance
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

To assess the association of ectopic fat deposition in the liver and pancreas quantified by Dixon magnetic resonance imaging (MRI) with insulin sensitivity and β-cell function in patients with central obesity.

Materials and methods

A cross-sectional study of 143 patients with central obesity with normal glucose tolerance (NGT), prediabetes (PreD), and untreated type 2 diabetes mellitus (T2DM) was conducted between December 2019 and March 2022. All participants underwent routine medical history taking, anthropometric measurements, and laboratory tests, including a standard glucose tolerance test to quantify insulin sensitivity and β-cell function. The fat content in the liver and pancreas was measured with MRI using the six-point Dixon technique.

Results

Patients with T2DM and PreD had a higher liver fat fraction (LFF) than those with NGT, while those with T2DM had a higher pancreatic fat fraction (PFF) than those with PreD and NGT. LFF was positively correlated with homeostatic model assessment of insulin resistance (HOMA-IR), while PFF was negatively correlated with homeostatic model assessment of insulin secretion (HOMA-β). Furthermore, using a structured equation model, we found LFF and PFF to be positively associated with glycosylated hemoglobin via HOMA-IR and HOMA-β, respectively.

Conclusions

In patients with central obesity, the effects of LFF and PFF on glucose metabolism.

were associated with HOMA-IR and HOMA-β, respectively. Ectopic fat storage in the liver and pancreas quantified by MR Dixon imaging potentially plays a notable role in the onset ofT2DM.

Clinical relevance statement

We highlight the potential role of ectopic fat deposition in the liver and pancreas in the development of type 2 diabetes in patients with central obesity, providing valuable insights into the pathogenesis of the disease and potential targets for intervention.

Key Points

• Ectopic fat deposition in the liver and pancreas is associated with T2DM.

• T2DM and prediabetes patients had higher liver and pancreatic fat fractions than normal individuals.

• The results provide valuable insights into pathogenesis of T2DM and potential targets for intervention.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Abbreviations

AUC:

Area under the curve

BMI:

Body mass index

CT:

Computed tomography

DI:

Disposition index

FBG:

Fasting blood glucose

FPI:

Fasting plasma insulin

HbA1c:

Glycosylated hemoglobin 1 C

HOMA-IR:

Homeostatic model assessment of insulin resistance

HOMA-β:

Homeostatic model assessment of insulin secretion

IR:

Insulin resistance

ISIM :

Matsuda insulin sensitivity index

LFF:

Liver fat fraction

MRI:

Magnetic resonance imaging

MRS:

Magnetic resonance spectroscopy

NGT:

Normal glucose tolerance

OGTT:

Oral glucose tolerance test

PreD:

Prediabetes

PDFF:

Proton density fat fraction.

PFF:

Pancreatic fat fraction

SEM:

Structural equation modeling

SSCs:

Standardized structure coefficients

T2DM:

Type 2 diabetes mellitus

US:

Ultrasonography

WC:

Waist circumference

References

  1. Ng M, Fleming T, Robinson M et al (2014) Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the global burden of disease study 2013. Lancet 384:766–781

    PubMed  PubMed Central  Google Scholar 

  2. Herpen N, Schrauwen-Hinderling VB (2008) Lipid accumulation in non-adipose tissue and lipotoxicity. Physiol Behav 94:231–241

    PubMed  Google Scholar 

  3. Yu TY, Wang CY (2017) Impact of non-alcoholic fatty pancreas disease on glucose metabolism. J Diabetes Investig 8:735–747

    PubMed  PubMed Central  Google Scholar 

  4. Dewidar B, Kahl S, Pafili K, Roden M (2020) Metabolic liver disease in diabetes – from mechanisms to clinical trials. Metabolism 111:154299

    CAS  PubMed Central  Google Scholar 

  5. Lonardo A, Ballestri S, Marchesini G, Angulo P, Loria P (2015) Nonalcoholic fatty liver disease: a precursor of the metabolic syndrome. Dig Liver Dis 47:181–190

    PubMed  Google Scholar 

  6. Yamazaki H, Tsuboya T, Tsuji K, Dohke M, Maguchi H (2015) Independent association between improvement of nonalcoholic fatty liver disease and reduced incidence of type 2 diabetes. Diabetes Care 38:1673–1679

    CAS  PubMed  Google Scholar 

  7. Nasr P, Fredrikson M, Ekstedt M, Kechagias S (2020) The amount of liver fat predicts mortality and development of type 2 diabetes in non-alcoholic fatty liver disease. Liver Int 40:1069–1078

    CAS  PubMed  Google Scholar 

  8. Taylor R (2008) Pathogenesis of type 2 diabetes: tracing the reverse route from cure to cause. Diabetologia 51:1781–1789

    CAS  PubMed  Google Scholar 

  9. Korc M, Owerbach D, Quinto C, Rutter WJ (1981) Pancreatic islet-acinar cell interaction: amylase messenger RNA levels are determined by insulin. Science 213:351–353

    CAS  PubMed  Google Scholar 

  10. Williams JA, Goldfine ID (1985) The insulin-pancreatic acinar axis. Diabetes 34:980–986

    CAS  PubMed  Google Scholar 

  11. Zhang X, Cui Y, Fang L, Li F (2008) Chronic high-fat diets induce oxide injuries and fibrogenesis of pancreatic cells in rats. Pancreas 37:31–38

    Google Scholar 

  12. Wong VW, Wong GL, Yeung DK et al (2014) Fatty pancreas, insulin resistance, and β-cell function: a population study using fat-water magnetic resonance imaging. Am J Gastroentero 109:589–597

    CAS  Google Scholar 

  13. Della Corte C, Mosca A, Majo F et al (2015) Nonalcoholic fatty pancreas disease and nonalcoholic fatty liver disease: more than ectopic fat. Clin Endocrinol 83:656–662

    CAS  Google Scholar 

  14. Ou HY, Wang CY, Yang YC, Chen MF, Chang CJ (2013) The association between nonalcoholic fatty pancreas disease and diabetes. PLoS One 8:e62561

    CAS  PubMed  PubMed Central  Google Scholar 

  15. Lu T, Wang Y, Dou T, Xue B, Tan Y, Yang J (2019) Pancreatic fat content is associated with β-cell function and insulin resistance in Chinese type 2 diabetes subjects. Endocr J 66:265–270

    CAS  PubMed  Google Scholar 

  16. Wen Y, Chen C, Kong X et al (2022) Pancreatic fat infiltration, β-cell function and insulin resistance: a study of the young patients with obesity. Diabetes Res Clin Pract 187:109860

    CAS  PubMed  Google Scholar 

  17. Lê KA, Ventura EE, Fisher JQ et al (2011) Ethnic differences in pancreatic fat accumulation and its relationship with other fat depots and inflammatory markers. Diabetes Care 34:485–490

    PubMed  PubMed Central  Google Scholar 

  18. Rossi AP, Fantin F, Zamboni GA et al (2011) Predictors of ectopic fat accumulation in liver and pancreas in obese men and women. Obesity 19:1747–1754

    CAS  PubMed  Google Scholar 

  19. van der Zijl NJ, Goossens GH, Moors CC et al (2011) Ectopic fat storage in the pancreas, liver, and abdominal fat depots: impact on β-cell function in individuals with impaired glucose metabolism. J Clin Endocr 96:459–467

    PubMed  Google Scholar 

  20. Begovatz P, Koliaki C, Weber K et al (2015) Pancreatic adipose tissue infiltration, parenchymal steatosis and beta cell function in humans. Diabetologia 58:1646–1655

    CAS  PubMed  Google Scholar 

  21. Staaf J, Labmayr V, Paulmichl K et al (2017) Pancreatic fat is associated with metabolic syndrome and visceral fat but not beta-cell function or body mass index in pediatric obesity. Pancreas 46:358–365

    PubMed  Google Scholar 

  22. Li YX, Sang YQ, Sun Y et al (2020) Pancreatic fat is not significantly correlated with β-cell dysfunction in patients with new-onset type 2 diabetes mellitus using quantitative computed tomography. Int J Medical Sci 17:1673–1682

    CAS  Google Scholar 

  23. Kramer H (2017) Accuracy of liver fat quantification with advanced CT, MRI, and ultrasound techniques: prospective comparison with MR spectroscopy. AJR Am J Roentgenol 208:92–100

    Google Scholar 

  24. Hu HH, Kim HW, Nayak KS, Goran MI (2010) Comparison of fat–water MRI and single-voxel MRS in the assessment of hepatic and pancreatic fat fractions in humans. Obesity 18:841–847

    PubMed  Google Scholar 

  25. Kameda F (2020) Quantification of pancreas fat on dual-energy computed tomography: comparison with six-point Dixon magnetic resonance imaging. Abdom Radiol (NY) 45:2779–2785

    Google Scholar 

  26. Yokoo T, Serai SD, Pirasteh A et al (2018) Linearity, bias, and precision of hepatic proton density fat fraction measurements by using MR imaging: ameta-analysis. Radiology 286:486–498

    PubMed  Google Scholar 

  27. Eskreis-Winkler S, Corrias G, Monti S et al (2018) IDEAL-IQ in an oncologic population: Meeting the challenge of concomitant liver fat and liver iron. Cancer Imaging 18:1–7

    Google Scholar 

  28. Chen Y, Long L, Jiang Z, Zhang L, Zhong D, Huang X (2019) Quantification of pancreatic proton density fat fraction in diabetic pigs using MR imaging and IDEAL-IQ sequence. BMC Med Imaging 19:1–8

    Google Scholar 

  29. Guo Z, Blake GM, Li K et al (2020) Liver fat content measurement with quantitative CT validated against MRI proton density fat fraction: a prospective study of 400 healthy volunteers. Radiology 294:89–97

    PubMed  Google Scholar 

  30. Xu L, Duanmu Y, Blake GM et al (2018) Validation of goose liver fat measurement by QCT and CSE-MRI with biochemical extraction and pathology as reference. Eur Radiol 28:2003–2012

    Google Scholar 

  31. Pickhardt PJ, Graffy PM, Reeder SB, Hernando D, Li K (2018) Quantification of liver fat content with unenhanced MDCT: phantom and clinical correlation with MRI proton density fat fraction. AJR Am J Roentgenol 211:W151–W157

    Google Scholar 

  32. Starekova J, Hernando D, Pickhardt PJ, Reeder SB (2021) Quantification of liver fat content with CT and MRI: state of the art. Radiology 301:250–262

    PubMed  Google Scholar 

  33. Joint Committee for Developing Chinese Guidelines (2007) Chinese guidelines on prevention and treatment of dyslipidemia in adults. Zhonghua Xin Xue Guan Bing Za Zhi 35:390–419

    Google Scholar 

  34. American Diabetes Association Professional Practice Committee. 2 (2022) Classification and diagnosis of diabetes: standards of medical care in diabetes—2022. Diabetes Care 45(Suppl. 1):S17–S38

    Google Scholar 

  35. Matsuda M, DeFronzo RA (1999) Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care 22:1462–1470

    CAS  Google Scholar 

  36. Byrne BM, Crombie G (2003) Modeling and testing change: an introduction to the latent growth curve model. Underst Stat 2:177–203

    Google Scholar 

  37. Yoon JH, Lee JM, Lee KB et al (2016) Pancreatic steatosis and fibrosis: quantitative assessment with preoperative multiparametric MR imaging. Radiology 279:1–11

    Google Scholar 

  38. Henninger B, Zoller H, Kannengiesser S, Zhong X, Jaschke W, Kremser C (2017) 3D Multiecho Dixon for the evaluation of hepatic iron and fat in a clinical setting. J Magn Reason Imaging 46:793–800

    Google Scholar 

  39. Li X, Yang Q, Ye H, Li S, Wang Y, Yu W (2021) Comparison of pancreatic fat content measured by different methods employing MR mDixon sequence. PLoS One 16:e0260001

    CAS  PubMed  PubMed Central  Google Scholar 

  40. Addeman BT, Kutty S, Perkins TG et al (2015) Validation of volumetric and single-slice MRI adipose analysis using a novel fully automated segmentation method. J Magn Reson Imaging 41:233–241

    PubMed  Google Scholar 

  41. Mantovani A, Petracca G, Beatrice G, Tilg H, Byrne CD, Targher G (2021) Non-alcoholic fatty liver disease and risk of incident diabetes mellitus: an updated meta-analysis of 501,022 adult individuals. Gut 70:962–969

    CAS  PubMed  Google Scholar 

  42. Cuthbertson DJ, Kosinen J, Brown E et al (2021) Fatty liver index predicts incident risk of prediabetes, type 2 diabetes and non-alcoholic fatty liver disease (NAFLD). Ann Med 53:1257–1265

    CAS  PubMed Central  Google Scholar 

  43. Tushuizen ME, Bunck MC, Pouwels PF, Bontemps S, Diamant M (2007) Pancreatic fat content and β-cell function in men with and without type 2 diabetes. Diabetes Care 30:2916–2921

    CAS  PubMed  Google Scholar 

  44. Steven S, Hollingsworth KG, Small PK et al (2016) Weight loss decreases excess pancreatic triacylglycerol specifically in type 2 diabetes. Diabetes Care 39:158–165

    CAS  PubMed  Google Scholar 

  45. Heiskanen MA, Motiani KK, Mari A et al (2018) Exercise training decreases pancreatic fat content and improves beta cell function regardless of baseline glucose tolerance: a randomised controlled trial. Diabetologia 61:1817–1828

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Kühn JP, Berthold F, Mayerle J et al (2015) Pancreatic steatosis demonstrated and MR imaging in the general population. Radiology 276:129–136

    PubMed  Google Scholar 

  47. Saisho Y (2016) Pancreas volume and fat deposition in diabetes and normal physiology: consideration of the interplay between endocrine and exocrine pancreas. Rev Diabet Stud 13:132–147

    PubMed  PubMed Central  Google Scholar 

  48. Wang D, Yu XP, Xiao WM et al (2018) Prevalence and clinical characteristics of fatty pancreas in Yangzhou, China: a cross-sectional study. Pancreatology 18:263–268

    CAS  PubMed  Google Scholar 

  49. Dong Z, Luo Y, Cai H et al (2016) Noninvasive fat quantification of the liver and pancreas may provide potential biomarkers of impaired glucose tolerance and type 2 diabetes. Medicine (Baltimore) 95:e3858

    CAS  PubMed  PubMed Central  Google Scholar 

  50. Verkouter I, Noordam R, le Cessie S et al (2019) The association between adult weight gain and insulin resistance at middle age: mediation by visceral fat and liver fat. J Clin Med 8:1559

    CAS  PubMed  PubMed Central  Google Scholar 

  51. Weng S, Zhou J, Chen X, Sun Y, Mao Z, Chai K (2018) Prevalence and factors associated with nonalcoholic fatty pancreas disease and its severity in China. Medicine (Baltimore) 97:e11293

    PubMed  PubMed Central  Google Scholar 

  52. Ishibashi C, Kozawa J, Hosakawa Y et al (2019) Pancreatic fat is related to the longitudinal decrease in the increment of C-peptide in glucagon stimulation test in type 2 diabetes patients. J Diabetes Investig 11:80–87

    PubMed  PubMed Central  Google Scholar 

  53. Chin SO, Hwang YC, Cho IJ, Jeong IK, Ahn KJ, Chung HY (2020) Pancreatic fat accumulation is associated with decreased β-cell function and deterioration in glucose tolerance in Korean adults. Diabetes Metab J 37:e3425

    Google Scholar 

  54. Heni M, Machann J, Staiger H et al (2010) Pancreatic fat is negatively associated with insulin secretion in individuals with impaired fasting glucose and/or impaired glucose tolerance: a nuclear magnetic resonance study. Diabetes Metab J 26:200–205

    CAS  Google Scholar 

  55. Ross R, Neeland IJ, Yamashita S et al (2020) Waist circumference as a vital sign in clinical practice: a consensus statement from the IAS and ICCR working gGroup on visceral obesity. Nat Rev Endocrinol 16:177–189

    PubMed  PubMed Central  Google Scholar 

  56. Oh YS, Bae GD, Baek DJ, Park EY, Jun HS (2018) Fatty acid-induced lipotoxicity in pancreatic beta-cells during development of type 2 diabetes. Front Endocrinol 9:384

    Google Scholar 

  57. Benito-Vicente A, Jebari-Benslaiman S, Galicia-Garcia U, Larrea-Sebal A, Uribe KB, Martin C (2021) Molecular mechanisms of lipotoxicity-induced pancreatic β-cell dysfunction. Int Rev Cell Mol Biol 359:357–402

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to thank the staff at the affiliated Wuxi People’s Hospital of Nanjing Medical University for their help.

Funding

This study has received funding from Wuxi Science and Technology Development Fund (GrantNumber:BJ2020005) and the Top Talent Support Program for young and middle-aged people of Wuxi Health Committee (Grant Number:Y20212024).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Wen-Jun Wu or Qun-Feng Tang.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Dr. Wu Wenjun, China.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

  • prospective

  • cross-sectional study

  • performed at one institution

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 205 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cao, MJ., Wu, WJ., Chen, JW. et al. 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. Eur Radiol 33, 9213–9222 (2023). https://doi.org/10.1007/s00330-023-09856-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-023-09856-x

Keywords

Navigation