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Glucagon-Like Peptide-1 Receptor Agonist Differentially Affects Brain Activation in Response to Visual Food Cues in Lean and Obese Individuals with Type 2 Diabetes Mellitus
Jae Hyun Bae, Hyung Jin Choi, Kang Ik Kevin Cho, Lee Kyung Kim, Jun Soo Kwon, Young Min Cho
Diabetes Metab J. 2020;44(2):248-259.   Published online November 4, 2019
DOI: https://doi.org/10.4093/dmj.2019.0018
  • 7,311 View
  • 222 Download
  • 5 Web of Science
  • 6 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

To investigate the effects of a glucagon-like peptide-1 receptor agonist on functional brain activation in lean and obese individuals with type 2 diabetes mellitus (T2DM) in response to visual food cues.

Methods

In a randomized, single-blinded, crossover study, 15 lean and 14 obese individuals with T2DM were administered lixisenatide or normal saline subcutaneously with a 1-week washout period. We evaluated brain activation in response to pictures of high-calorie food, low-calorie food, and nonfood using functional magnetic resonance imaging and measured appetite and caloric intake in participants who were given access to an ad libitum buffet.

Results

Obese individuals with T2DM showed significantly greater activation of the hypothalamus, pineal gland, parietal cortex (high-calorie food vs. low-calorie food, P<0.05), orbitofrontal cortex (high-calorie food vs. nonfood, P<0.05), and visual cortex (food vs. nonfood, P<0.05) than lean individuals with T2DM. Lixisenatide injection significantly reduced the functional activation of the fusiform gyrus and lateral ventricle in obese individuals with T2DM compared with that in lean individuals with T2DM (nonfood vs. high-calorie food, P<0.05). In addition, in individuals who decreased their caloric intake after lixisenatide injection, there were significant interaction effects between group and treatment in the posterior cingulate, medial frontal cortex (high-calorie food vs. low-calorie food, P<0.05), hypothalamus, orbitofrontal cortex, and temporal lobe (food vs. nonfood, P<0.05).

Conclusion

Brain responses to visual food cues were different in lean and obese individuals with T2DM. In addition, acute administration of lixisenatide differentially affected functional brain activation in these individuals, especially in those who decreased their caloric intake after lixisenatide injection.

Citations

Citations to this article as recorded by  
  • Altered Metabolic Phenotypes and Hypothalamic Neuronal Activity Triggered by Sodium-Glucose Cotransporter 2 Inhibition (Diabetes Metab J 2023;47:784-95)
    Jae Hyun Bae
    Diabetes & Metabolism Journal.2024; 48(1): 157.     CrossRef
  • Diabetes remission and relapse following an intensive metabolic intervention combining insulin glargine/lixisenatide, metformin and lifestyle approaches: Results of a randomised controlled trial
    Natalia McInnes, Stephanie Hall, Heather A. Lochnan, Stewart B. Harris, Zubin Punthakee, Ronald J. Sigal, Irene Hramiak, Mohammed Azharuddin, Joanne F. Liutkus, Jean‐François Yale, Farah Sultan, Ada Smith, Rose E. Otto, Diana Sherifali, Yan Yun Liu, Hertz
    Diabetes, Obesity and Metabolism.2023; 25(11): 3347.     CrossRef
  • Glucagon-like peptide-1 analog therapy in rare genetic diseases: monogenic obesity, monogenic diabetes, and spinal muscular atrophy
    Hussein Zaitoon, Ronit Lubetzky, Achiya Z. Amir, Hadar Moran-Lev, Liora Sagi, Michal Yacobi-Bach, Ophir Borger, Efrat Chorna, Yael Lebenthal, Avivit Brener
    Acta Diabetologica.2023; 60(8): 1099.     CrossRef
  • What can functional brain imaging teach us about remission of type 2 diabetes?
    Dhruti Hirani, Shahd Alabdulkader, Alexander. D. Miras, Victoria Salem
    Diabetic Medicine.2023;[Epub]     CrossRef
  • Fasting oxyntomodulin, glicentin, and gastric inhibitory polypeptide levels are associated with activation of reward‐ and attention‐related brain centres in response to visual food cues in adults with obesity: A cross‐sectional functional MRI study
    Nikolaos Perakakis, Olivia M. Farr, Christos S. Mantzoros
    Diabetes, Obesity and Metabolism.2021; 23(5): 1202.     CrossRef
  • Aberrant Brain Functional Connectivity Strength and Effective Connectivity in Patients with Type 2 Diabetes Mellitus
    Xi Guo, Su Wang, Yu-Chen Chen, Heng-Le Wei, Gang-Ping Zhou, Yu-Sheng Yu, Xindao Yin, Kun Wang, Hong Zhang, Eusebio Chiefari
    Journal of Diabetes Research.2021; 2021: 1.     CrossRef
The Usefulness of an Accelerometer for Monitoring Total Energy Expenditure and Its Clinical Application for Predicting Body Weight Changes in Type 2 Diabetic Korean Women
Ji Yeon Jung, Kyung Ah Han, Hwi Ryun Kwon, Hee Jung Ahn, Jae Hyuk Lee, Kang Seo Park, Kyung Wan Min
Korean Diabetes J. 2010;34(6):374-383.   Published online December 31, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.6.374
  • 7,690 View
  • 24 Download
  • 1 Crossref
AbstractAbstract PDFPubReader   
Background

The purpose of this study was to evaluate the usefulness of an accelerometer in predicting body weight (BW) change during a lifestyle intervention and to find out whether exercise or overall physical activity is associated with change in insulin sensitivity and body composition.

Methods

A total of 49 overweight (body mass index [BMI] ≥ 23 kg/m2) women with diabetes were enrolled and performed lifestyle intervention while monitoring BW, total energy expenditure (TEE) and physical activity energy expenditure (PAEE) using an accelerometer, and energy intake (EI) using a three-day dietary record at baseline and every 2 weeks for 12 weeks. We assessed body composition using bioimpedance analysis and compared the actual BW change to the predicted BW change, which was calculated from the energy deficit (ED) between EI and TEE (ED = EI-TEE).

Results

Mean age was 57.2 years, duration of diabetes was 8.0 years, and BMI was 27.8 kg/m2. There was no significant difference between EI and TEE at baseline. For 12 weeks, the ED was 474.0 kcal·day-1, which was significantly correlated with BW change (-3.1 kg) (r = 0.725, P < 0.001). However, the actual BW change was 50% lower than the predicted BW change. Both TEE and PAEE correlated with change in KITT (r = 0.334, P = 0.019; r = 0.358, P = 0.012, respectively), BMI (r = -0.395, P = 0.005; r = -0.347, P = 0.015, respectively), and fat mass (r = -0.383, P = 0.007; r = -0.395, P = 0.005, respectively), but only TEE correlated with fat free mass change (r = -0.314, P = 0.030).

Conclusion

The accelerometer appears to be a useful tool for measuring TEE under free-living conditions for both short- and long-term periods.

Citations

Citations to this article as recorded by  
  • Whether Smaller Plates Reduce Consumption Depends on Who’s Serving and Who’s Looking: A Meta-Analysis
    Stephen S. Holden, Natalina Zlatevska, Chris Dubelaar
    Journal of the Association for Consumer Research.2016; 1(1): 134.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal