Endocrinology and Metabolism

Namgok Lecture 2021

Diabetes, Obesity and Metabolism
The Influence of Obesity and Metabolic Health on Vascular Health: Eun-Jung Rhee; Endocrinol Metab. 2022;37(1):1-8. Published online February 28, 2022; DOI: https://doi.org/10.3803/EnM.2022.101

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The prevalence of obesity is rapidly increasing worldwide. Obesity should not be understood only as the accumulation of fat in the body, but instead as a phenomenon that exerts different effects on our health according to the place of fat deposition and its stability. Obesity is the starting point of most metabolic diseases, such as diabetes, hypertension, metabolic syndrome, sleep apnea, and eventually cardiovascular disease. There are different kinds of obesity, ranging from simple obesity to sarcopenic obesity. The main purpose of intervening to address obesity is to decrease the ultimate consequence of obesity—namely, cardiovascular disease. The main mechanism through which obesity, especially abdominal obesity, increases cardiovascular risk is the obesity-induced derangement of metabolic health, leading to the development of metabolic diseases such as diabetes, non-alcoholic fatty liver disease, and metabolic syndrome, which are the main initiators of vascular damage. In this review, I discuss the influence of various types of obesity on the risk of metabolic diseases, and how these diseases increase cardiovascular disease risk.

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O.V. Molchanova, A.V. Mamaeva, A.R. Dunayeva, Z.A. Lust, E.M. Faskhetdinova, R.N. Shepel, D.O. Orlov, L.M. Zhamalov, G.F. Andreeva, O.M. Drapkina
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Review Articles

Diabetes, Obesity and Metabolism
Recent Updates to Clinical Practice Guidelines for Diabetes Mellitus: Jin Yu, Seung-Hwan Lee, Mee Kyoung Kim; Endocrinol Metab. 2022;37(1):26-37. Published online February 28, 2022; DOI: https://doi.org/10.3803/EnM.2022.105

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Guidelines for the management of patients with diabetes have become an important part of clinical practice that improve the quality of care and help establish evidence-based medicine in this field. With rapidly accumulating evidence on various aspects of diabetes care, including landmark clinical trials of treatment agents and newer technologies, timely updates of the guidelines capture the most current state of the field and present a consensus. As a leading academic society, the Korean Diabetes Association publishes practice guidelines biennially and the American Diabetes Association does so annually. In this review, we summarize the key changes suggested in the most recent guidelines. Some of the important updates include treatment algorithms emphasizing comorbid conditions such as atherosclerotic cardiovascular disease, heart failure, and chronic kidney disease in the selection of anti-diabetic agents; wider application of continuous glucose monitoring (CGM), insulin pump technologies and indices derived from CGM such as time in range; more active screening of subjects at high-risk of diabetes; and more detailed individualization in diabetes care. Although there are both similarities and differences among guidelines and some uncertainty remains, these updates provide a good approach for many clinical practitioners who are battling with diabetes.

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Journal of the American Medical Directors Association.2024; 25(3): 454. CrossRef
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Diabetes & Metabolism.2023; 49(4): 101440. CrossRef
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Diabetes, Obesity and Metabolism
Lipoprotein Lipase: Is It a Magic Target for the Treatment of Hypertriglyceridemia: Joon Ho Moon, Kyuho Kim, Sung Hee Choi; Endocrinol Metab. 2022;37(4):575-586. Published online August 29, 2022; DOI: https://doi.org/10.3803/EnM.2022.402

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High levels of triglycerides (TG) and triglyceride-rich lipoproteins (TGRLs) confer a residual risk of cardiovascular disease after optimal low-density lipoprotein cholesterol (LDL-C)–lowering therapy. Consensus has been made that LDL-C is a non-arguable primary target for lipid lowering treatment, but the optimization of TGRL for reducing the remnant risk of cardiovascular diseases is urged. Omega-3 fatty acids and fibrates are used to reduce TG levels, but many patients still have high TG and TGRL levels combined with low high-density lipoprotein concentration that need to be ideally treated. Lipoprotein lipase (LPL) is a key regulator for TGs that hydrolyzes TGs to glycerol and free fatty acids in lipoprotein particles for lipid storage and consumption in peripheral organs. A deeper understanding of human genetics has enabled the identification of proteins regulating the LPL activity, which include the apolipoproteins and angiopoietin-like families. Novel therapeutic approach such as antisense oligonucleotides and monoclonal antibodies that regulate TGs have been developed in recent decades. In this article, we focus on the biology of LPL and its modulators and review recent clinical application, including genetic studies and clinical trials of novel therapeutics. Optimization of LPL activity to lower TG levels could eventually reduce incident atherosclerotic cardiovascular disease in conjunction with successful LDL-C reduction.

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Biomedicine & Pharmacotherapy.2024; 174: 116598. CrossRef
Obesity, dyslipidemia, and cardiovascular disease: A joint expert review from the Obesity Medicine Association and the National Lipid Association 2024
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Journal of Clinical Lipidology.2024; 18(3): e320. CrossRef
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Diabetes, Obesity and Metabolism.2024; 26(7): 2969. CrossRef
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Wang Zhao, Yangang Wang, Jin Li, Tao Chen, Delu Yin, Hailong Dai, Zhuhua Yao, Shuiping Zhao
Lipids.2024; 59(5): 145. CrossRef
Lipoprotein lipase as a target for obesity/diabetes related cardiovascular disease
Rui Shang, Brian Rodrigues
Journal of Pharmacy & Pharmaceutical Sciences.2024;[Epub] CrossRef
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Targeting Apolipoprotein C-III for the Management of Severe Hypertriglyceridemia: Current Research and Future Directions
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Journal of Clinical Medicine.2024; 13(17): 5229. CrossRef
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JHEP Reports.2023; 5(4): 100684. CrossRef
Measurement of Serum Low Density Lipoprotein Cholesterol and Triglyceride-Rich Remnant Cholesterol as Independent Predictors of Atherosclerotic Cardiovascular Disease: Possibilities and Limitations
Dieter Lütjohann, Hans-Ulrich Klör, Frans Stellaard
Nutrients.2023; 15(9): 2202. CrossRef
Influence of antipsychotic medications on hyperlipidemia risk in patients with schizophrenia: evidence from a population-based cohort study and in vitro hepatic lipid homeostasis gene expression
Tien-Yuan Wu, Ni Tien, Cheng-Li Lin, Yu-Cun Cheah, Chung Y. Hsu, Fuu-Jen Tsai, Yi-Jen Fang, Yun-Ping Lim
Frontiers in Medicine.2023;[Epub] CrossRef
Triglyceride-Rich Lipoprotein Metabolism: Key Regulators of Their Flux
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Journal of Clinical Medicine.2023; 12(13): 4399. CrossRef
Sugar and Dyslipidemia: A Double-Hit, Perfect Storm
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Journal of Clinical Medicine.2023; 12(17): 5660. CrossRef
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Biomedicines.2023; 11(10): 2696. CrossRef
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Scientific Reports.2023;[Epub] CrossRef

Original Article

Diabetes, Obesity and Metabolism
Human Leukocyte Antigens and Biomarkers in Type 1 Diabetes Mellitus Induced by Immune-Checkpoint Inhibitors: Hidefumi Inaba, Yosuke Kaido, Saya Ito, Tomonao Hirobata, Gen Inoue, Takakazu Sugita, Yuki Yamamoto, Masatoshi Jinnin, Hiroaki Kimura, Tomoko Kobayashi, Shintaro Iwama, Hiroshi Arima, Takaaki Matsuoka; Endocrinol Metab. 2022;37(1):84-95. Published online February 28, 2022; DOI: https://doi.org/10.3803/EnM.2021.1282

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Background
Type 1 diabetes mellitus induced by immune-checkpoint inhibitors (ICI-T1DM) is a rare critical entity. However, the etiology of ICI-T1DM remains unclear.
Methods
In order to elucidate risk factors for ICI-T1DM, we evaluated the clinical course and immunological status of patients with ICI-T1DM who had been diagnosed during 2016 to 2021.
Results
Seven of 871 (0.8%, six men and one woman) patients developed ICI-T1DM. We revealed that the allele frequencies of human leukocyte antigen (HLA)-DPA1*02:02 and DPB1*05:01 were significantly higher in the patients with ICI-T1DM In comparison to the controls who received ICI (11/14 vs. 10/26, P=0.022; 11/14 vs. 7/26, P=0.0027, respectively). HLA-DRB1*04:05, which has been found to be a T1DM susceptibility allele in Asians, was also observed as a high-risk allele for ICI-T1DM. The significance of the HLA-DPB1*05:01 and DRB1*04:05 alleles was confirmed by an analysis of four additional patients. The absolute/relative neutrophil count, neutrophils-lymphocyte ratio, and neutrophil-eosinophil ratio increased, and the absolute lymphocyte count and absolute/relative eosinophil count decreased at the onset as compared with 6 weeks before. In two patients, alterations in cytokines and chemokines were found at the onset.
Conclusion
Novel high-risk HLA alleles and haplotypes were identified in ICI-T1DM, and peripheral blood factors may be utilized as biomarkers.

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Adithya Chennamadhavuni, Laith Abushahin, Ning Jin, Carolyn J. Presley, Ashish Manne
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Review Articles

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database: Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee; Endocrinol Metab. 2023;38(1):10-24. Published online February 9, 2023; DOI: https://doi.org/10.3803/EnM.2023.102

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The Korean National Health Information Database (NHID) contains big data combining information obtained from the National Health Insurance Service and health examinations. Data are provided in the form of a cohort, and the NHID can be used to conduct longitudinal studies and research on rare diseases. Moreover, data on the cause and date of death are provided by Statistics Korea. Research and publications based on the NHID have increased explosively in the field of endocrine disorders. However, because the data were not collected for research purposes, studies using the NHID have limitations, particularly the need for the operational definition of diseases. In this review, we describe the characteristics of the Korean NHID, operational definitions of endocrine diseases used for research, and an overview of recent studies in endocrinology using the Korean NHID.

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Diabetes, Obesity and Metabolism
Renal Protection of Mineralocorticoid Receptor Antagonist, Finerenone, in Diabetic Kidney Disease: Dong-Lim Kim, Seung-Eun Lee, Nan Hee Kim; Endocrinol Metab. 2023;38(1):43-55. Published online February 27, 2023; DOI: https://doi.org/10.3803/EnM.2022.1629

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Chronic kidney disease (CKD) is the most common cause of end-stage renal disease in patients with type 2 diabetes mellitus (T2DM). CKD increases the risk of cardiovascular diseases; therefore, its prevention and treatment are important. The prevention of diabetic kidney disease (DKD) can be achieved through intensive glycemic control and blood pressure management. Additionally, DKD treatment aims to reduce albuminuria and improve kidney function. In patients with T2DM, renin-angiotensin-aldosterone system inhibitors, sodium glucose cotransporter 2 inhibitors, and glucagon-like peptide-1 receptor agonists can delay the progression of DKD. Hence, there is a need for novel treatments that can effectively suppress DKD progression. Finerenone is a first-in-class nonsteroidal mineralocorticoid receptor antagonist with clinically proven efficacy in improving albuminuria, estimated glomerular filtration rate, and risk of cardiovascular events in early and advanced DKD. Therefore, finerenone is a promising treatment option to delay DKD progression. This article reviews the mechanism of renal effects and major clinical outcomes of finerenone in DKD.

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Original Articles

Diabetes, Obesity and Metabolism
Short-Chain Fatty Acids Attenuate Renal Fibrosis and Enhance Autophagy of Renal Tubular Cells in Diabetic Mice Through the HDAC2/ULK1 Axis: Xiaoying Ma, Qiong Wang; Endocrinol Metab. 2022;37(3):432-443. Published online May 16, 2022; DOI: https://doi.org/10.3803/EnM.2021.1336

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Background
This study investigated the effect of short-chain fatty acids (SCFAs) on diabetes in a mouse model.
Methods
Autophagy in Akita mice and streptozocin (STZ)-induced diabetic C57BL/6 mice was determined by Western blots and immunohistochemistry (IHC). Western blots, IHC, hematoxylin and eosin staining, Masson staining, periodic acid-Schiff staining, and picrosirius red staining were conducted to detect whether autophagy and renal function improved in Akita mice and STZ-induced diabetic C57BL/6 mice after treatment of SCFAs. Western blots, IHC, and chromatin immunoprecipitation were performed to determine whether SCFAs affected diabetic mice via the histone deacetylase (HDAC2)/unc-51 like autophagy activating kinase 1 (ULK1) axis. Diabetic mice with kidney-specific knockout of HDAC2 were constructed, and IHC, Masson staining, and Western blots were carried out to detect whether the deletion of endogenous HDAC2 contributed to the improvement of autophagy and renal fibrosis in diabetic mice.
Results
Reduced autophagy and severe fibrosis were observed in Akita mice and STZ-induced diabetic C57BL/6 mice. Increased autophagy and reduced renal cell fibrosis were found in SCFA-treated Akita diabetic mice and STZ-induced diabetic C57BL/6 mice. Diabetic mice treated with SCFAs had lower HDAC2 expression and more enriched binding of ULK1 promoter sequences to H3K27Ac. Endogenous knockout of HDAC2 caused enhanced autophagy and decreased renal fibrosis in diabetic mice treated with SCFAs.
Conclusion
SCFAs enhanced autophagy of renal tubular cells and attenuated renal fibrosis in diabetic mice through the HDAC2/ULK1 axis.

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Jiayu Wang, Jiaxing Li, Xin Zhang, Min Zhang, Xiaopeng Hu, Hang Yin
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Diabetes, Obesity and Metabolism
The Impact of Insulin Resistance on Hepatic Fibrosis among United States Adults with Non-Alcoholic Fatty Liver Disease: NHANES 2017 to 2018: Ji Cheol Bae, Lauren A. Beste, Kristina M. Utzschneider; Endocrinol Metab. 2022;37(3):455-465. Published online June 21, 2022; DOI: https://doi.org/10.3803/EnM.2022.1434

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Background
We aimed to investigate the association of hepatic steatosis with liver fibrosis and to assess the interactive effects of hepatic steatosis and insulin resistance on liver fibrosis in a nationally representative sample of United States adults.
Methods
We conducted a cross-sectional analysis using data from National Health and Nutrition Examination Survey 2017 to 2018, which for the first time included transient elastography to assess liver stiffness and hepatic steatosis. We evaluated the association between hepatic steatosis (using controlled attenuation parameter [CAP]) and clinically significant liver fibrosis (defined as liver stiffness ≥7.5 kPa) using logistic regression with an interaction term for hepatic steatosis and insulin resistance (defined as homeostatic model assessment of insulin resistance ≥3.0).
Results
Among adults undergoing transient elastography (n=2,023), 45.9% had moderate or greater hepatic steatosis and 11.3% had clinically significant liver fibrosis. After adjustment for demographic and metabolic factors, the odds of significant liver fibrosis increased as CAP score rose (odds ratio, 1.35 per standard deviation increment; 95% confidence interval, 1.11 to 1.64). We detected a significant interaction effect between CAP score and insulin resistance on the probability of significant liver fibrosis (P=0.016 for interaction). The probability of significant liver fibrosis increased in the presence of insulin resistance with increasing CAP score, while those without insulin resistance had low probability of significant liver fibrosis, even with high CAP scores.
Conclusion
Individuals with hepatic steatosis had higher odds of fibrosis when insulin resistance was present. Our findings emphasize the importance of the metabolic aspects of the disease on fibrosis risk and suggest a need to better identify patients with metabolic associated fatty liver disease.

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No More NAFLD: The Term Is Now MASLD
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Review Article

Diabetes, Obesity and Metabolism
Homeostatic Regulation of Glucose Metabolism by the Central Nervous System: Jong Han Choi, Min-Seon Kim; Endocrinol Metab. 2022;37(1):9-25. Published online February 28, 2022; DOI: https://doi.org/10.3803/EnM.2021.1364

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Evidence for involvement of the central nervous system (CNS) in the regulation of glucose metabolism dates back to the 19th century, although the majority of the research on glucose metabolism has focused on the peripheral metabolic organs. Due to recent advances in neuroscience, it has now become clear that the CNS is indeed vital for maintaining glucose homeostasis. To achieve normoglycemia, specific populations of neurons and glia in the hypothalamus sense changes in the blood concentrations of glucose and of glucoregulatory hormones such as insulin, leptin, glucagon-like peptide 1, and glucagon. This information is integrated and transmitted to other areas of the brain where it eventually modulates various processes in glucose metabolism (i.e., hepatic glucose production, glucose uptake in the brown adipose tissue and skeletal muscle, pancreatic insulin and glucagon secretion, renal glucose reabsorption, etc.). Errors in these processes lead to hyper- or hypoglycemia. We here review the current understanding of the brain regulation of glucose metabolism.

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Original Articles

Diabetes, Obesity and Metabolism
Associations of Phthalate Metabolites and Bisphenol A Levels with Obesity in Children: The Korean National Environmental Health Survey (KoNEHS) 2015 to 2017: Moon Young Seo, Shinje Moon, Shin-Hye Kim, Mi Jung Park; Endocrinol Metab. 2022;37(2):249-260. Published online April 7, 2022; DOI: https://doi.org/10.3803/EnM.2021.1235

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Background
Phthalates and bisphenol A (BPA) are synthetic chemicals widely used in daily life. This study investigated urinary phthalate and BPA levels in Korean children and their associations with obesity. Methods: A total of 2,351 children aged 3 to 17 years who participated in the Korean National Environmental Health Survey 2015 to 2017 were included. Urinary dilution was corrected using covariate-adjusted standardization (CAS). We examined the geometric mean (GM) concentrations of urinary phthalate metabolites, including di (2-ethylhexyl) phthalate (DEHP) metabolites (mono [2-ethyl-5-hydroxyhexyl] phthalate, mono [2-ethyl-5-oxohexyl] phthalate, and mono [2-ethyl-5-carboxypentyl] phthalate [MECPP]), mono-benzyl-phthalate (MBzP), mono (carboxyoctyl) phthalate (MCOP), mono (carboxy-isononyl) phthalate (MCNP), mono (3-carboxypropyl) phthalate, and mono-n-butyl-phthalate (MnBP), and BPA. We also analyzed the odds ratio (OR) for obesity according to the quartiles of each analyte. Results: The urinary GM levels of DEHP metabolites and MnBP were notably higher among Korean children than among American, Canadian, and German children. The CAS-applied GM concentrations of most analytes, except for MBzP, MCOP, and MCNP, were higher in children aged 3 to 5 years than in those aged 6 to 17 years. The OR for obesity in the highest quartile of MECPP was significantly higher than in the lowest quartile after adjusting for covariates. However, the other phthalate metabolites and BPA were not significantly associated with obesity. Conclusion: The concentrations of urinary DEHP metabolites and MnBP were higher in Korean children than in children in Western countries. Urinary MECPP exposure, but not other phthalates or BPA, showed a positive association with obesity in Korean children. Further studies are required to elucidate the causal relationships.

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Diethyl phthalate, a plasticizer, induces adipocyte inflammation and apoptosis in mice after long‐term dietary administration
Shirsha Mondal, Soumyadeep Basu, Songita Ghosh, Suktara Guria, Sutapa Mukherjee
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Urinary concentrations of phthalate/DINCH metabolites and body mass index among European children and adolescents in the HBM4EU Aligned Studies: A cross-sectional multi-country study
Anteneh Desalegn, Tessa Schillemans, Eleni Papadopoulou, Amrit K. Sakhi, Line S. Haug, Ida Henriette Caspersen, Andrea Rodriguez-Carrillo, Sylvie Remy, Greet Schoeters, Adrian Covaci, Michelle Laeremans, Mariana F Fernández, Susana Pedraza-Diaz, Tina Kold
Environment International.2024; 190: 108931. CrossRef
Associations of prenatal and concurrent exposure to phenols mixture with anthropometric measures and blood pressure during childhood: A time-varying mixture approach
Yiming Dai, Jiayun Ding, Zheng Wang, Boya Zhang, Qin Guo, Jianqiu Guo, Xiaojuan Qi, Dasheng Lu, Xiuli Chang, Chunhua Wu, Jiming Zhang, Zhijun Zhou
Environmental Research.2024; 261: 119766. CrossRef
Nontargeted metabolomic evidence for antagonism between tetracycline and its resistance bacteria underlying their obesogenic effects on Caenorhabditis elegans
Zhuo Li, Di Wu, Zhenyang Yu, Changzheng Cui, Daqiang Yin
Science of The Total Environment.2023; 859: 160223. CrossRef
Prospective association between phthalate exposure in childhood and liver function in adolescence: the Ewha Birth and Growth Cohort Study
Seonhwa Lee, Hye Ah Lee, Bohyun Park, Hyejin Han, Young Sun Hong, Eun Hee Ha, Hyesook Park
Environmental Health.2023;[Epub] CrossRef
Bisphenol A substitutes and childhood obesity at 7 years: a cross-sectional study in Shandong, China
Minyan Chen, Cheng Lv, Shanyu Zhang, Lap Ah Tse, Xinyu Hong, Xi Liu, Yu Ding, Ping Xiao, Ying Tian, Yu Gao
Environmental Science and Pollution Research.2023; 30(29): 73174. CrossRef
Association between Di-2-ethylhexyl phthalate and nonalcoholic fatty liver disease among US adults: Mediation analysis of body mass index and waist circumference in the NHANES
Youming He, Jun Zou, Ting Hong, Dan Feng
Food and Chemical Toxicology.2023; 179: 113968. CrossRef
Association between phthalate exposure and obesity risk: A meta-analysis of observational studies
Qian Wu, Gang Li, Chen-Yang Zhao, Xiao-Lin Na, Yun-Bo Zhang
Environmental Toxicology and Pharmacology.2023; 102: 104240. CrossRef
Levels of Bisphenol A and its analogs in nails, saliva, and urine of children: a case control study
Yolanda Gálvez-Ontiveros, Inmaculada Moscoso-Ruiz, Vega Almazán Fernández de Bobadilla, Celia Monteagudo, Rafael Giménez-Martínez, Lourdes Rodrigo, Alberto Zafra-Gómez, Ana Rivas
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Diabetes, obesity and metabolism
Triglyceride-Glucose Index Predicts Future Atherosclerotic Cardiovascular Diseases: A 16-Year Follow-up in a Prospective, Community-Dwelling Cohort Study: Joon Ho Moon, Yongkang Kim, Tae Jung Oh, Jae Hoon Moon, Soo Heon Kwak, Kyong Soo Park, Hak Chul Jang, Sung Hee Choi, Nam H. Cho; Endocrinol Metab. 2023;38(4):406-417. Published online August 3, 2023; DOI: https://doi.org/10.3803/EnM.2023.1703

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Background
While the triglyceride-glucose (TyG) index is a measure of insulin resistance, its association with cardiovascular disease (CVD) has not been well elucidated. We evaluated the TyG index for prediction of CVDs in a prospective large communitybased cohort.
Methods
Individuals 40 to 70 years old were prospectively followed for a median 15.6 years. The TyG index was calculated as the Ln [fasting triglycerides (mg/dL)×fasting glucose (mg/dL)/2]. CVDs included any acute myocardial infarction, coronary artery disease or cerebrovascular disease. We used a Cox proportional hazards model to estimate CVD risks according to quartiles of the TyG index and plotted the receiver operating characteristics curve for the incident CVD.
Results
Among 8,511 subjects (age 51.9±8.8 years; 47.5% males), 931 (10.9%) had incident CVDs during the follow-up. After adjustment for age, sex, body mass index, diabetes mellitus, hypertension, total cholesterol, smoking, alcohol, exercise, and C-reactive protein, subjects in the highest TyG quartile had 36% increased risk of incident CVD compared with the lowest TyG quartile (hazard ratio, 1.36; 95% confidence interval, 1.10 to 1.68). Carotid plaque, assessed by ultrasonography was more frequent in subjects in the higher quartile of TyG index (P for trend=0.049 in men and P for trend <0.001 in women). The TyG index had a higher predictive power for CVDs than the homeostasis model assessment of insulin resistance (HOMA-IR) (area under the curve, 0.578 for TyG and 0.543 for HOMA-IR). Adding TyG index on diabetes or hypertension alone gave sounder predictability for CVDs.
Conclusion
The TyG index is independently associated with future CVDs in 16 years of follow-up in large, prospective Korean cohort.

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Construction and validation of a nomogram for predicting diabetes remission at 3 months after bariatric surgery in patients with obesity combined with type 2 diabetes mellitus
Kaisheng Yuan, Bing Wu, Ruiqi Zeng, Fuqing Zhou, Ruixiang Hu, Cunchuan Wang
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Association between the triglyceride glucose index and chronic total coronary occlusion: A cross-sectional study from southwest China
Kaiyong Xiao, Huili Cao, Bin Yang, Zhe Xv, Lian Xiao, Jianping Wang, Shuiqing Ni, Hui Feng, Zhongwei He, Lei Xv, Juan Li, Dongmei Xv
Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(4): 850. CrossRef
The association between TyG and all-cause/non-cardiovascular mortality in general patients with type 2 diabetes mellitus is modified by age: results from the cohort study of NHANES 1999–2018
Younan Yao, Bo Wang, Tian Geng, Jiyan Chen, Wan Chen, Liwen Li
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Comparison of triglyceride glucose index and modified triglyceride glucose indices in prediction of cardiovascular diseases in middle aged and older Chinese adults
Cancan Cui, Yitian Qi, Jiayin Song, Xinyun Shang, Tianjiao Han, Ning Han, Siqi Yue, Yining Zha, Zhonghang Xu, Jiannan Li, Lin Liu
Cardiovascular Diabetology.2024;[Epub] CrossRef
Triglyceride-glucose index predicts type 2 diabetes mellitus more effectively than oral glucose tolerance test-derived insulin sensitivity and secretion markers
Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Mi Sook Yun, Yang Ho Kang
Diabetes Research and Clinical Practice.2024; 210: 111640. CrossRef
Prognostic value of triglyceride-glucose index for left ventricular remodeling in nondiabetic ST-elevation myocardial infarction patients
Tolga Han Efe, Engin Algül
Biomarkers in Medicine.2024; 18(6): 243. CrossRef
Triglyceride-Glucose Index as Predictor for Hypertension, CHD and STROKE Risk among Non-Diabetic Patients: A NHANES Cross-Sectional Study 2001–2020
Bisher Sawaf, Sarya Swed, Hidar Alibrahim, Haidara Bohsas, Tirth Dave, Mohamad Nour Nasif, Wael Hafez, Fatema Ali Asgar Tashrifwala, Yazan Khair Eldien Jabban, Safwan Al-Rassas, Heba haj Saleh, Abdul Rehman Zia Zaidi, Baraa Alghalyini, Shaymaa Abdelmaboud
Journal of Epidemiology and Global Health.2024;[Epub] CrossRef
An Increasing Triglyceride–Glucose Index Is Associated with a Pro-Inflammatory and Pro-Oxidant Phenotype
Beverley Adams-Huet, Ishwarlal Jialal
Journal of Clinical Medicine.2024; 13(13): 3941. CrossRef
Elevated triglyceride-glucose index as a predictor of carotid plaque incidence: Insights from a comprehensive meta-analysis
Arankesh Mahadevan, Bhavin A. Patel, Sashwath Srikanth, Raja Godasi, Rupak Desai
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Alireza Jafari, Hamid Najafipour, Mitra Shadkam, Sina Aminizadeh
Lipids in Health and Disease.2023;[Epub] CrossRef

Diabetes, Obesity and Metabolism
Dulaglutide Ameliorates Palmitic Acid-Induced Hepatic Steatosis by Activating FAM3A Signaling Pathway: Jinmi Lee, Seok-Woo Hong, Min-Jeong Kim, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee; Endocrinol Metab. 2022;37(1):74-83. Published online February 9, 2022; DOI: https://doi.org/10.3803/EnM.2021.1293

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Background
Dulaglutide, a long-acting glucagon-like peptide-1 receptor agonist (GLP-1RA), has been shown to reduce body weight and liver fat content in patients with type 2 diabetes. Family with sequence similarity 3 member A (FAM3A) plays a vital role in regulating glucose and lipid metabolism. The aim of this study was to determine the mechanisms by which dulaglutide protects against hepatic steatosis in HepG2 cells treated with palmitic acid (PA).
Methods
HepG2 cells were pretreated with 400 μM PA for 24 hours, followed by treatment with or without 100 nM dulaglutide for 24 hours. Hepatic lipid accumulation was determined using Oil red O staining and triglyceride (TG) assay, and the expression of lipid metabolism-associated factor was analyzed using quantitative real time polymerase chain reaction and Western blotting.
Results
Dulaglutide significantly decreased hepatic lipid accumulation and reduced the expression of genes associated with lipid droplet binding proteins, de novo lipogenesis, and TG synthesis in PA-treated HepG2 cells. Dulaglutide also increased the expression of proteins associated with lipolysis and fatty acid oxidation and FAM3A in PA-treated cells. However, exendin-(9-39), a GLP-1R antagonist, reversed the expression of FAM3A, and fatty acid oxidation-associated factors increased due to dulaglutide. In addition, inhibition of FAM3A by siRNA attenuated the reducing effect of dulaglutide on TG content and its increasing effect on regulation of fatty acid oxidation.
Conclusion
These results suggest that dulaglutide could be used therapeutically for improving nonalcoholic fatty liver disease, and its effect could be mediated in part via upregulation of FAM3A expression through a GLP-1R-dependent pathway.

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Haoran Jiang, Linquan Zang
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Tong Bu, Ziyan Sun, Yi Pan, Xia Deng, Guoyue Yuan
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Insulin Resistance, Non-Alcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus: Clinical and Experimental Perspective
Inha Jung, Dae-Jeong Koo, Won-Young Lee
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Tirzepatide against obesity and insulin-resistance: pathophysiological aspects and clinical evidence
Salvatore Corrao, Chiara Pollicino, Dalila Maggio, Alessandra Torres, Christiano Argano
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Effects of the switch from dulaglutide to tirzepatide on glycemic control, body weight, and fatty liver: a retrospective study
Toshitaka Sawamura, Ren Mizoguchi, Ai Ohmori, Mitsuhiro Kometani, Takashi Yoneda, Shigehiro Karashima
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FABP1 induces lipogenesis by regulating the processing of SREBP1 in hepatocytes of large yellow croaker (Larimichthys crocea)
Fan Chen, Tingting Hao, Qiang Chen, Yuning Sun, Yanan Shen, Zengqi Zhao, Jianlong Du, Yueru Li, Kangsen Mai, Qinghui Ai
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International Journal of Molecular Sciences.2023; 24(2): 1703. CrossRef
FAM3A mediates the phenotypic switch of human aortic smooth muscle cells stimulated with oxidised low-density lipoprotein by influencing the PI3K-AKT pathway
Lei Yang, Baoshun Du, Shitao Zhang, Maode Wang
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Jing Li, Han Yan, Rui Xiang, Weili Yang, Jingjing Ye, Ruili Yin, Jichun Yang, Yujing Chi
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Targeted therapeutics and novel signaling pathways in non-alcohol-associated fatty liver/steatohepatitis (NAFL/NASH)
Xiaohan Xu, Kyle L. Poulsen, Lijuan Wu, Shan Liu, Tatsunori Miyata, Qiaoling Song, Qingda Wei, Chenyang Zhao, Chunhua Lin, Jinbo Yang
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Diabetes, Obesity and Metabolism
Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes: Han-sang Baek, Ji-Yeon Park, Jin Yu, Joonyub Lee, Yeoree Yang, Jeonghoon Ha, Seung Hwan Lee, Jae Hyoung Cho, Dong-Jun Lim, Hun-Sung Kim; Endocrinol Metab. 2022;37(4):641-651. Published online August 29, 2022; DOI: https://doi.org/10.3803/EnM.2022.1501

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Background
The prevalence of young-onset diabetes (YOD) has been increasing worldwide. As the incidence of YOD increases, it is necessary to determine the characteristics of YOD and the factors that influence its development and associated complications.
Methods
In this retrospective study, we recruited patients who were diagnosed with type 2 diabetes mellitus between June 2001 and December 2021 at a tertiary hospital. The study population was categorized according to age: YOD (age <40 years), middle-age-onset diabetes (MOD, 40≤ age <65 years), and late-onset diabetes (LOD, age ≥65 years). We examined trends in glycemic control by analyzing fasting glucose levels during the first year in each age group. A Cox proportional-hazards model was used to determine the relative risk of developing complications according to glycemic control trends.
Results
The fasting glucose level at the time of diagnosis was highest in the YOD group (YOD 149±65 mg/dL; MOD 143±54 mg/dL; and LOD 140±55 mg/dL; p=0.009). In the YOD group, glucose levels decreased at 3 months, but increased by 12 months. YOD patients and those with poor glycemic control in the first year were at a higher risk of developing complications, whereas the risk in patients with LOD was not statistically significant.
Conclusion
YOD patients had higher glucose levels at diagnosis, and their glycemic control was poorly maintained. As poor glycemic control can influence the development of complications, especially in young patients, intensive treatment is necessary for patients with YOD.

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Hye-Sun Park, Yongin Cho, Da Hea Seo, Seong Hee Ahn, Seongbin Hong, Young Ju Suh, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Kwan Woo Lee, So Hun Kim
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Myrsini Strati, Melpomeni Moustaki, Theodora Psaltopoulou, Andromachi Vryonidou, Stavroula A. Paschou
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Complications and Treatment of Early-Onset Type 2 Diabetes
Fahimeh Soheilipour, Naghmeh Abbasi Kasbi, Mahshid Imankhan, Delaram Eskandari
International Journal of Endocrinology and Metabolism.2023;[Epub] CrossRef
Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes (Endocrinol Metab 2022;37:641-51, Han-sang Baek et al.)
Han-sang Baek, Ji-Yeon Park, Jin Yu, Joonyub Lee, Yeoree Yang, Jeonghoon Ha, Seung Hwan Lee, Jae Hyoung Cho, Dong-Jun Lim, Hun-Sung Kim
Endocrinology and Metabolism.2022; 37(6): 945. CrossRef
ISPAD Clinical Practice Consensus Guidelines 2022: Management of the child, adolescent, and young adult with diabetes in limited resource settings
Anju Virmani, Stuart J. Brink, Angela Middlehurst, Fauzia Mohsin, Franco Giraudo, Archana Sarda, Sana Ajmal, Julia E. von Oettingen, Kuben Pillay, Supawadee Likitmaskul, Luis Eduardo Calliari, Maria E. Craig
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Endocrinology and Metabolism.2022; 37(6): 943. CrossRef

Diabetes, obesity and metabolism
Inhibition of Fatty Acid β-Oxidation by Fatty Acid Binding Protein 4 Induces Ferroptosis in HK2 Cells Under High Glucose Conditions: Jiasi Chen, Keping Wu, Yan Lei, Mingcheng Huang, Lokyu Cheng, Hui Guan, Jiawen Lin, Ming Zhong, Xiaohua Wang, Zhihua Zheng; Endocrinol Metab. 2023;38(2):226-244. Published online April 27, 2023; DOI: https://doi.org/10.3803/EnM.2022.1604

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Background
Ferroptosis, which is caused by an iron-dependent accumulation of lipid hydroperoxides, is a type of cell death linked to diabetic kidney disease (DKD). Previous research has shown that fatty acid binding protein 4 (FABP4) is involved in the regulation of ferroptosis in diabetic retinopathy. The present study was constructed to explore the role of FABP4 in the regulation of ferroptosis in DKD.
Methods
We first detected the expression of FABP4 and proteins related to ferroptosis in renal biopsies of patients with DKD. Then, we used a FABP4 inhibitor and small interfering RNA to investigate the role of FABP4 in ferroptosis induced by high glucose in human renal proximal tubular epithelial (HG-HK2) cells.
Results
In kidney biopsies of DKD patients, the expression of FABP4 was elevated, whereas carnitine palmitoyltransferase-1A (CP-T1A), glutathione peroxidase 4, ferritin heavy chain, and ferritin light chain showed reduced expression. In HG-HK2 cells, the induction of ferroptosis was accompanied by an increase in FABP4. Inhibition of FABP4 in HG-HK2 cells changed the redox state, sup-pressing the production of reactive oxygen species, ferrous iron (Fe²⁺), and malondialdehyde, increasing superoxide dismutase, and reversing ferroptosis-associated mitochondrial damage. The inhibition of FABP4 also increased the expression of CPT1A, reversed lipid deposition, and restored impaired fatty acid β-oxidation. In addition, the inhibition of CPT1A could induce ferroptosis in HK2 cells.
Conclusion
Our results suggest that FABP4 mediates ferroptosis in HG-HK2 cells by inhibiting fatty acid β-oxidation.

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Diabetes, Obesity and Metabolism
Sleep Duration and the Risk of Type 2 Diabetes: A Community-Based Cohort Study with a 16-Year Follow-up: Da Young Lee, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Seung Ku Lee, Chol Shin, Nan Hee Kim; Endocrinol Metab. 2023;38(1):146-155. Published online February 6, 2023; DOI: https://doi.org/10.3803/EnM.2022.1582

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Background
We aimed to investigate the moderating effects of obesity, age, and sex on the association between sleep duration and the development of diabetes in Asians.
Methods
We analyzed data from a cohort of the Korean Genome and Epidemiology Study conducted from 2001 to 2020. After excluding shift workers and those with diabetes at baseline, 7,407 participants were stratified into three groups according to sleep duration: ≤5 hours/night, >5 to 7 hours/night (reference), and >7 hours/night. The Cox proportional hazards analyses were used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident type 2 diabetes mellitus (T2DM). Subgroup analyses were performed according to obesity, age, and sex.
Results
During 16 years of follow-up, 2,024 cases of T2DM were identified. Individuals who slept ≤5 h/night had a higher risk of incident diabetes than the reference group (HR, 1.17; 95% CI, 1.02 to 1.33). The subgroup analysis observed a valid interaction with sleep duration only for obesity. A higher risk of T2DM was observed in the ≤5 hours/night group in non-obese individuals, men, and those aged <60 years, and in the >7 hours/night group in obese individuals (HRs were 1.34 [95% CI, 1.11 to 1.61], 1.22 [95% CI, 1 to 1.49], and 1.18 [95% CI, 1.01 to 1.39], respectively).
Conclusion
This study confirmed the effect of sleep deprivation on the risk of T2DM throughout the 16-year follow-up period. This impact was confined to non-obese or young individuals and men. We observed a significant interaction between sleep duration and obesity.

Citations

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