Diabetes & Metabolism Journal

Original Article

Basic Research
N⁶-Methyladenosine Methyltransferase METTL3 Alleviates Diabetes-Induced Testicular Damage through Modulating TUG1/Clusterin Axis: Yuan Tian, Yue-Hai Xiao, Chao Sun, Bei Liu, Fa Sun; Diabetes Metab J. 2023;47(2):287-300. Published online January 19, 2023; DOI: https://doi.org/10.4093/dmj.2021.0306

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Background
The present study investigated the regulatory effects of N6-methyladenosine (m6A) methyltransferase like-3 (METTL3) in diabetes-induced testicular damage.
Methods
In vivo diabetic mice and high glucose (HG) treated GC-1 spg cells were established. The mRNA and protein expressions were determined by real-time quantitative polymerase chain reaction, Western blot, immunofluorescence and immunohistochemistry staining. Levels of testosterone, blood glucose, cell viability, and apoptosis were detected by enzyme-linked immunosorbent assay, MTT, and flow cytometry, respectively. Molecular interactions were verified by RNA immunoprecipitation and RNA pull-down assay. Histopathological staining was performed to evaluate testicular injury.
Results
METTL3 and long non-coding RNA taurine up-regulated 1 (lncRNA TUG1) were downregulated in testicular tissues of diabetic mice and HG-treated GC-1 spg cells. METTL3 overexpression could reduce the blood glucose level, oxidative stress and testicular damage but enhance testosterone secretion in diabetic mouse model and HG-stimulated GC-1 spg cells. Mechanically, METTL3-mediated m6A methylation enhanced the stability of TUG1, then stabilizing the clusterin mRNA via recruiting serine and arginine rich splicing factor 1. Moreover, inhibition of TUG1/clusterin signaling markedly reversed the protective impacts of METTL3 overexpression on HG-stimulated GC-1 spg cells.
Conclusion
This study demonstrated that METTL3 ameliorated diabetes-induced testicular damage by upregulating the TUG1/clusterin signaling. These data further elucidate the potential regulatory mechanisms of m6A modification on diabetes-induced testicular injury.

Citations

Citations to this article as recorded by

Negative Regulation of LINC01013 by METTL3 and YTHDF2 Enhances the Osteogenic Differentiation of Senescent Pre‐Osteoblast Cells Induced by Hydrogen Peroxide
Jiaxin Song, Yuejun Wang, Zhao Zhu, Wanqing Wang, Haoqing Yang, Zhaochen Shan
Advanced Biology.2024;[Epub] CrossRef
Diabetes and diabetic associative diseases: An overview of epigenetic regulations of TUG1
Mohammed Ageeli Hakami
Saudi Journal of Biological Sciences.2024; 31(5): 103976. CrossRef

Review

The Roles of Clusterin on Morphogenesis of Beta Cells During Pancreas Regeneration.: Seok Woo Hong, KC Ranjan, Song Lee, Yong Jae Shin, Bon Hong Min, In Sun Park; Korean Diabetes J. 2007;31(1):1-8. Published online January 1, 2007; DOI: https://doi.org/10.4093/jkda.2007.31.1.1

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Abstract PDF

Clusterin is a highly glycosylated heterodimeric glycoprotein that plays diverse biological roles in various organs. The secreted clusterin has been established as a major form of the protein that exerts diverse tissue effects. For instance, clusterin is known to act in cell protection through the actions of extra-cellular molecular chaperones. In the extracellular milieu, clusterin participates in specific interactions with a diverse array of native biological molecules including LRP-2 (Lipoprotein receptor-related protein 2, also known as gp330 or megalin), which is involved in ligand endocytosis at the surfaces of certain epithelia. Clusterin is expressed transiently in developing and differentiating endocrine pancreatic cells and might be involved in pancreas development. This transient expression of clusterin at specific time points of pancreas development and cell differentiation during pancreas regeneration implies that the protein is a regulatory factor for cytodifferentiation as well as for replication. A specific action of the clusterin in the reconstruction and remodeling of the endocrine pancreas has been demonstrated. It also strongly stimulates duct cell differentiation into insulin-secreting cells under in vitro culture conditions. Clusterin appears thus as a potent regulator of insulin cell morphogenesis.

Citations

Citations to this article as recorded by

Effect of African Mango (Irvingia gabonesis, IGOB 131^TM) Extract on Glucose Regulation in STZ-Induced Diabetes
Yejin Ha, Minhee Lee, Han Ol Kwon, Yoo-Hyun Lee
Journal of the Korean Society of Food Science and Nutrition.2015; 44(11): 1607. CrossRef

Original Articles

Clustering of Risk Variables in Insulin Resistance Syndrome in Jungup District, Korea.: Sang Wook Kim, Myung Hoe Huh, Young Il Kim, Jin Yub Kim, Eun Sook Kim, Moo Song Lee, Joong Yeol Park, Sung Kwan Hong, Ki Up Lee; Korean Diabetes J. 1999;23(6):843-856. Published online January 1, 2001

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Abstract PDF: BACKGROUND
Insulin resistance syndrome (IRS), a clustering of hypertension, impaired glucose tolerance, low HDL cholesterol and high triglyceride, is prevalent in Korea. We studied the correlational structure of IRS using factor analysis to evaluate whether a single process underlies in the clustering of these risk factors. METHODS: Factor analysis was performed using data from 1,018 non-diabetic subjects (388 men and 630 women) who participated in the Jungup epidemiological study. RESULTS: Factor analysis reduced 9 correlated risk factors to 4 independent factors, each reflecting a different aspect of IRS: hypertension factor (increased systolic and diastolic blood pressure), glucose intolerance factor (increased fasting and postload glucose), obesity factor (increased body mass index, waist circumference, and increased insulin), and dyslipidemia factor (increased trigly- cerides and decreased HDL cholesterol). Increased insulin was also loaded into dyslipidemia factor in men and glucose intolerance factor in women. These factors explained about 70% of the total variance in the data. Three factors such as the glucose intolerance factor, the dyslipidemia factor and the obesity factor, were linked through mutual association with hyperinsulinemia, while hypertension factor was not associated with hyperin- sulinemia. Age-adjusted mean BP by BMI tertile and fasting insulin level tertile for men and women increased progressively with increase in BMI in men and women. There was no significant elevation of mean BP according to increase in fasting insulin level. In contrast to premenopausal women in whom hyperinsulinemia show mutual association with the glucose intolerance factor, the dyslipidemia factor, and the obesity factor, hyperinsulinemia was only loaded into obesity factor in postmenopausal women. CONCLUSION: These results suggested that more than one process underlies the clustering of IRS. In sulin resistance alone did not seem to be the single underlying mechanism of IRS. Especially, hypertension was not correlated with hyperin- sulinemia.

The Characteristics of Insulin-resistance Syndrome in the Korean Population.: Jin Sung Kim, Gun Sang Park, Yun Yong Lee, Do Joon Park, Chan Soo Shin, Kyong Soo Park, Seong Yeon Kim, Bo Youn Cho, Hong Kyu Lee, Chang Soon Koh, Hyeon Kyu Kim, Yong Soo Park, Soon Ja Kwon; Korean Diabetes J. 1998;22(1):84-92. Published online January 1, 2001

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Abstract PDF: BACKGROUND
Insulin-resistance syndrome or syndrome X which includes diabetes mellitus, hypertension, dyslipidemia, and obesity has been regarded as one of the mechanisms involved in the atherosclerotic disease. This study was performed to evaluate the prevalence of each camponent of insulin-resistance syndrome. We have also analyzed the clustering of insulin-resistance syndrome according to fasting insulin levels in subjects who participated in the Younchon county diabetes prevalence study in 1993. METHOD: One thousand, eight hundred and eleven subjects among 2520 subjects over 30 years-old were enrolled, We investigated the prevalence of 5 metabolic syndromes: glucose intolerance(impaired glucose tolerance and diabetes mellitus by WHO criteria), hypertension(diastolic blood pressure >95 mmHg), Hypertriglyceridemia(triglyceride >2.26 mmol/L), low HDL cholesterolemia(HDL cholesterol <0.91 mmol/ L) and obesity(body mass index >25 kg/m) according to fasting serum insulin level. RESULTS: The prevalence of glucose intolerance (diabetes mellitus and impaired glueose tolerance), hypertension, hypertriglyceridemia, low HDI, cholesterolemia and obestiy were 18.2%, 21.3%, 10.9%, 45.6% and 36.3%, respectively. According to the four quartiles(quartile 1, 2, 3, 4) of fasting serum insulin level, the prevalence rate of each metaboic syndrome was as follows: 9.5%, 15.6%, 22.8% and 25.0% for glucose intolerance; 18.7%, 17.5%, 21.1% and 27.9% for hypertension; 5.0%, 8.1%, 13 8% and 16.9% for hypertriglyceridemia; 37.9%, 46.6%, 46.5% and 51.6% for low HDL cholesterolemia; 19.2%, 30.1%, 40.8% and 55.4% for obesity. As the fasting insulin levels increase, the clustering of 2 or more disease increase. CONCLUSION: Metabolic syndromes associated with insulin-resistance are relatively common disorders in the Korean population. The prevalence and clustering of metabolic abnormalities also increase as serum insulin level increases in Korean population.

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