Diabetes & Metabolism Journal

Original Articles

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Fibroblast Growth Factor 21 Levels Are Associated With Perception and Neural Responses to Sweetness in Type 2 Diabetes Mellitus: Piao Kang, Ying Zhang, Dian Zeng, Dan Liu, Rui Han, Yuwei Lu, Di Cheng, Qinyi Wang, Silin Liu, Liang Wu, Qian Wu, Shujie Yu, Anran Chen, Jingyi Guo, Wenli Ge, Jiacheng Ni, Jingyi Yang, Xiaomeng Wu, Lifei Ma, Weiping Jia, Qichen Fang, Yuehua Li, Huating Li; Diabetes Metab J. 2025;49(4):893-905. Published online March 26, 2025; DOI: https://doi.org/10.4093/dmj.2024.0390

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Background
The relationship between fibroblast growth factor 21 (FGF21) and sweet taste perception and preference in type 2 diabetes mellitus (T2DM) remains unclear. This study aims to investigate this relationship and examine the neural responses of T2DM patients to high-calorie sweet (HCS) food pictures, further exploring its correlation with FGF21 levels.
Methods
We assessed sweet taste perception and preference in 40 T2DM patients and 41 controls using classical scales. Subsequently, the neural responses of 11 T2DM patients and 11 controls to HCS pictures were examined using functional magnetic resonance imaging. FGF21 levels were measured using chemiluminescent immunoassay, and the correlations with taste perception and neural responses were analyzed.
Results
Increased FGF21 levels were associated with decreased sweet perception and increased sweet taste preference in T2DM patients. Compared to control, T2DM patients exhibited greater neural activations in the orbitofrontal cortex, anterior cingulate cortex (ACC), thalamus, and hippocampus (HCS vs. non-food) as well as the putamen (HCS vs. low-calorie food). Notable differences were observed in the parahippocampal gyrus, insula, ACC, and hippocampus in T2DM patients (HCS vs. high-calorie non-sweet). Additionally, FGF21 accounted for 30.39% and 32.4% of the associations between T2DM and ACC, and parahippocampal gyrus, respectively.
Conclusion
FGF21 levels were independently associated with changes in sweet taste perception and preference in T2DM patients and were significantly associated with activation in reward-related brain regions. This study reveals the potential role of FGF21 in regulating responses to sweet foods in T2DM and provides insight to develop new therapeutic strategies for diabetes.

Citations

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Exploring Biomarkers in Type 2 Diabetes Mellitus versus Normoglycemia Identified through High-Throughput Proteomics: A Systematic Review and Meta-Analysis
Julia García-Currás, Raquel Pérez-Lois, Guillermo L. Taboada, María P. Pata
Journal of Proteome Research.2026; 25(1): 4. CrossRef
Efimosfermin for the Treatment of Metabolic Dysfunction-Associated Steatohepatitis (MASH): Mechanism of Action, Clinical Development and Emerging Therapeutic Potential
Mariam Alamgir, Aalam Sohal, Kris Kowdley
Drug Design, Development and Therapy.2026; Volume 20: 1. CrossRef

Metabolic Risk/Epidemiology
A Composite Blood Biomarker Including AKR1B10 and Cytokeratin 18 for Progressive Types of Nonalcoholic Fatty Liver Disease: Seung Joon Choi, Sungjin Yoon, Kyoung-Kon Kim, Doojin Kim, Hye Eun Lee, Kwang Gi Kim, Seung Kak Shin, Ie Byung Park, Seong Min Kim, Dae Ho Lee; Diabetes Metab J. 2024;48(4):740-751. Published online February 1, 2024; DOI: https://doi.org/10.4093/dmj.2023.0189

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Background
We aimed to evaluate whether composite blood biomarkers including aldo-keto reductase family 1 member B10 (AKR1B10) and cytokeratin 18 (CK-18; a nonalcoholic steatohepatitis [NASH] marker) have clinically applicable performance for the diagnosis of NASH, advanced liver fibrosis, and high-risk NASH (NASH+significant fibrosis).
Methods
A total of 116 subjects including healthy control subjects and patients with biopsy-proven nonalcoholic fatty liver disease (NAFLD) were analyzed to assess composite blood-based and imaging-based biomarkers either singly or in combination.
Results
A composite blood biomarker comprised of AKR1B10, CK-18, aspartate aminotransferase (AST), and alanine aminotransferase (ALT) showed excellent performance for the diagnosis of, NASH, advanced fibrosis, and high-risk NASH, with area under the receiver operating characteristic curve values of 0.934 (95% confidence interval [CI], 0.888 to 0.981), 0.902 (95% CI, 0.832 to 0.971), and 0.918 (95% CI, 0.862 to 0.974), respectively. However, the performance of this blood composite biomarker was inferior to that various magnetic resonance (MR)-based composite biomarkers, such as proton density fat fraction/MR elastography- liver stiffness measurement (MRE-LSM)/ALT/AST for NASH, MRE-LSM+fibrosis-4 index for advanced fibrosis, and the known MR imaging-AST (MAST) score for high-risk NASH.
Conclusion
Our blood composite biomarker can be useful to distinguish progressive forms of NAFLD as an initial noninvasive test when MR-based tools are not available.

Citations

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Dynamic Lipidomic Remodeling and Clinical Correlations after Sleeve Gastrectomy in Obese Subjects
Gakyung Lee, Yeong Chan Lee, Minkuk Park, Seong Min Kim, Ji-Hyeon Park, Dae Ho Lee
Diabetes & Metabolism Journal.2026; 50(2): 396. CrossRef
MAST versus FAST for active fibrotic MASH: a meta-analysis supporting risk-stratified diagnostic pathways
Shengfang Liu, Qingjuan Zhang, Lijing Wang, Qin Tang, Bingtao Hu
Frontiers in Medicine.2026;[Epub] CrossRef
Unlocking new frontiers in AKR1B10 inhibition and future opportunities
Sanzida Yeasrim, Hafiz Tanveer Ahmad, Mengxiao Chen, Xinyu Li, Ziming Gao, Haopeng Sun, Shuaishuai Xing
European Journal of Medicinal Chemistry.2026; 315: 118953. CrossRef
Cytokeratin 18 fragment in liver inflammation and fibrosis: Systematic review and meta-analysis
Junzhao Ye, Jiaming Lai, Ling Luo, Ting Zhou, Yanhong Sun, Bihui Zhong
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Haoran Xie, Junjun Wang, Qiuyan Zhao
Scientific Reports.2025;[Epub] CrossRef
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Andrea Andress Huacachino, Jaehyun Joo, Nisha Narayanan, Anisha Tehim, Blanca E. Himes, Trevor M. Penning
Chemico-Biological Interactions.2024; 398: 111111. CrossRef

Metabolic Risk/Epidemiology
Magnetic Resonance-Based Assessments Better Capture Pathophysiologic Profiles and Progression in Nonalcoholic Fatty Liver Disease: Seung Joon Choi, Seong Min Kim, Yun Soo Kim, Oh Sang Kwon, Seung Kak Shin, Kyoung Kon Kim, Kiyoung Lee, Ie Byung Park, Cheol Soo Choi, Dong Hae Chung, Jaehun Jung, MunYoung Paek, Dae Ho Lee; Diabetes Metab J. 2021;45(5):739-752. Published online October 28, 2020; DOI: https://doi.org/10.4093/dmj.2020.0137

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Background
Several noninvasive tools are available for the assessment of nonalcoholic fatty liver disease (NAFLD) including clinical and blood biomarkers, transient elastography (TE), and magnetic resonance imaging (MRI) techniques, such as proton density fat fraction (MRI-PDFF) and magnetic resonance elastography (MRE). In the present study, we aimed to evaluate whether magnetic resonance (MR)-based examinations better discriminate the pathophysiologic features and fibrosis progression in NAFLD than other noninvasive methods.
Methods
A total of 133 subjects (31 healthy volunteers and 102 patients with NAFLD) were subjected to clinical and noninvasive NAFLD evaluation, with additional liver biopsy in some patients (n=54).
Results
MRI-PDFF correlated far better with hepatic fat measured by MR spectroscopy (r=0.978, P<0.001) than with the TE controlled attenuation parameter (CAP) (r=0.727, P<0.001). In addition, MRI-PDFF showed stronger correlations with various pathophysiologic parameters for cellular injury, glucose and lipid metabolism, and inflammation, than the TE-CAP. The MRI-PDFF and TE-CAP cutoff levels associated with abnormal elevation of serum alanine aminotransferase were 9.9% and 270 dB/m, respectively. The MRE liver stiffness measurement (LSM) showed stronger correlations with liver enzymes, platelets, complement component 3, several clinical fibrosis scores, and the enhanced liver fibrosis (ELF) score than the TE-LSM. In an analysis of only biopsied patients, MRE performed better in discriminating advanced fibrosis with a cutoff value of 3.9 kPa than the TE (cutoff 8.1 kPa) and ELF test (cutoff 9.2 kPa).
Conclusion
Our results suggest that MRI-based assessment of NAFLD is the best non-invasive tool that captures the histologic, pathophysiologic and metabolic features of the disease.

Citations

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Dynamic Lipidomic Remodeling and Clinical Correlations after Sleeve Gastrectomy in Obese Subjects
Gakyung Lee, Yeong Chan Lee, Minkuk Park, Seong Min Kim, Ji-Hyeon Park, Dae Ho Lee
Diabetes & Metabolism Journal.2026; 50(2): 396. CrossRef
Fibulin-3 as a reliable biomarker of fibrosis in obese subjects with metabolic dysfunction-associated steatotic liver disease
Allen Anthony Laraño, Silvia Palmisano, Deborah Bonazza, Discipio Marina, Marica Meroni, Anna Ludovica Fracanzani, Lory S Crocè, Claudio Tiribelli, Paola Dongiovanni, Natalia Rosso, Pablo Giraudi
Annals of Hepatology.2026; : 102206. CrossRef
Comparison of Non-invasive Methods for Diagnosis of Non-alcoholic Fatty Liver Disease Before Bariatric Surgery and Postoperative Follow-up in Obese Patients
Ji-Hyeon Park, Seong Min Kim, Dae Ho Lee
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Hepatic Insulin Resistance and Steatosis in Metabolic Dysfunction-Associated Steatotic Liver Disease: New Insights into Mechanisms and Clinical Implications
Xuan Trong Truong, Dae Ho Lee
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A Novel Score Based on Controlled Attenuation Parameter Accurately Predicts Hepatic Steatosis in Individuals With Metabolic Dysfunction Associated Steatotic Liver Disease: A Derivation and Independent Validation Study
Zi-Ming An, Qiao-Hong Liu, Xin-Jian Ye, Qian Zhang, Hua-Fu Pei, Xin Xin, Jie Yuan, Qian Huang, Kun Liu, Fang Lu, Zhi-Han Yan, Yu Zhao, Yi-Yang Hu, Ming-Hua Zheng, Qin Feng
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A Composite Blood Biomarker Including AKR1B10 and Cytokeratin 18 for Progressive Types of Nonalcoholic Fatty Liver Disease
Seung Joon Choi, Sungjin Yoon, Kyoung-Kon Kim, Doojin Kim, Hye Eun Lee, Kwang Gi Kim, Seung Kak Shin, Ie Byung Park, Seong Min Kim, Dae Ho Lee
Diabetes & Metabolism Journal.2024; 48(4): 740. CrossRef
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Ting Duan, Han-Yu Jiang, Wen-Wu Ling, Bin Song
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Atsushi Nakamura, Tsubasa Yoshimura, Tomomi Sato, Takeshi Ichikawa
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Aron Park, Seung Joon Choi, Sungjin Park, Seong Min Kim, Hye Eun Lee, Minjae Joo, Kyoung Kon Kim, Doojin Kim, Dong Hae Chung, Jae Been Im, Jaehun Jung, Seung Kak Shin, Byung-Chul Oh, Cheolsoo Choi, Seungyoon Nam, Dae Ho Lee
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Updated S2k Clinical Practice Guideline on Non-alcoholic Fatty Liver Disease (NAFLD) issued by the German Society of Gastroenterology, Digestive and Metabolic Diseases (DGVS) – April 2022 – AWMF Registration No.: 021–025

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E. Roeb, A. Canbay, H. Bantel, J. Bojunga, J. de Laffolie, M. Demir, U. W. Denzer, A. Geier, W. P. Hofmann, C. Hudert, T. Karlas, M. Krawczyk, T. Longerich, T. Luedde, M. Roden, J. Schattenberg, M. Sterneck, A. Tannapfel, P. Lorenz, F. Tacke
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Drug/Regimen
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

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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.

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Fibroblast Growth Factor 21 Levels Are Associated With Perception and Neural Responses to Sweetness in Type 2 Diabetes Mellitus
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