抑制 N-乙酰葡糖胺基转移酶 V 可减轻小鼠心脏肥大和纤维化,从而缓解糖尿病心肌病。

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS Nutrition & Metabolism Pub Date : 2024-07-30 DOI:10.1186/s12986-024-00797-w
Ran Zhao, Jianqiang Hu, He Wen, Jieqiong Zhao, Ying Wang, Xiaona Niu, Mingming Zhang, Tingting Wang, Yan Li
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引用次数: 0

摘要

背景:糖尿病心肌病的发病机制与异常糖基化修饰密切相关。N-acetylglucosaminyltransferase V(GnT-V)能催化寡糖 N-连接-1-6分支的产生,它参与了许多疾病的病理生理机制,包括心肌肥厚和心力衰竭。然而,目前对 GnT-V 在糖尿病心肌病中调节心脏肥大的机制还知之甚少。本研究探讨了 GnT-V 在糖尿病心肌病心肌肥厚中的作用,并阐明了其潜在机制:材料和方法:小鼠腹腔注射链脲佐菌素(STZ)诱导糖尿病心肌病。使用携带阴性对照小发夹 RNA(shNC)或 GnT-V-specifc 小发夹 RNA(shGnT-V)的腺相关病毒(AAV)来操纵 GnT-V 的表达。在我们的研究中,40只雄性C57BL/6J小鼠被随机分为四组(每组10只):对照组小鼠,AAV-shNC;糖尿病心肌病小鼠,AAV-shNC;对照组小鼠,AAV-shGnT-V;糖尿病心肌病小鼠,AAV-shGnT-V。此外,还使用 H9C2 细胞和经高糖处理的新生儿心脏原代成纤维细胞作为糖尿病细胞模型。通过对心脏肥大和纤维化的分析以及功能研究,研究了潜在的分子通路:结果:AAV 介导的 GnT-V 沉默显著改善了糖尿病小鼠的心脏功能,减轻了心肌肥厚和纤维化。体外实验表明,GnT-V 在心肌细胞中升高,并在高糖刺激下诱导心肌细胞肥大。敲除 GnT-V 能显著降低整合素β1 信号通路的表达,下游 ERK1/2 活性的降低证明了这一点,从而抑制了心肌细胞肥大,并降低了 ANP、BNP 和 β-MHC 的表达。此外,敲除 GnT-V 表达可降低 TGF-β1-Smads 信号通路,从而减少α-SMA、胶原 I 和胶原 III 的表达:总之,我们的研究表明,GnT-V可能是治疗糖尿病心肌病的有效靶点,主要是在抑制心肌肥厚和纤维化方面。
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Inhibition of N-acetylglucosaminyltransferase V alleviates diabetic cardiomyopathy in mice by attenuating cardiac hypertrophy and fibrosis.

Background: The pathogenesis of diabetic cardiomyopathy is closely linked to abnormal glycosylation modifications. N-acetylglucosaminyltransferase V (GnT-V), which catalyzes the production of N-linked -1-6 branching of oligosaccharides, is involved in several pathophysiological mechanisms of many disorders, including cardiac hypertrophy and heart failure. However, the mechanism by which GnT-V regulates cardiac hypertrophy in diabetic cardiomyopathy is currently poorly understood. In this study, we investigated the role of GnT-V on myocardial hypertrophy in diabetic cardiomyopathy and elucidated the underlying mechanisms.

Material and methods: Streptozotocin (STZ) was intraperitoneally injected into mice to induce diabetic cardiomyopathy. An adeno-associated virus (AAV) carrying negative control small hairpin RNA (shNC) or GnT-V-specifc small hairpin RNA (shGnT-V) was used to manipulate GnT-V expression. In our study, forty male C57BL/6J mice were randomly divided into four groups (10 mice per group): control mice with AAV-shNC, diabetic cardiomyopathy mice with AAV-shNC, control mice with AAV-shGnT-V, and diabetic cardiomyopathy mice with AAV-shGnT-V. In addition, H9C2 cells and primary neonatal cardiac fibroblasts treated with high glucose were used as a cell model of diabetes. Analysis of cardiac hypertrophy and fibrosis, as well as functional studies, were used to investigate the underlying molecular pathways.

Results: AAV-mediated GnT-V silencing dramatically improved cardiac function and alleviated myocardial hypertrophy and fibrosis in diabetic mice. In vitro experiments demonstrated that GnT-V was elevated in cardiomyocytes and induced cardiomyocyte hypertrophy in response to high glucose stimulation. GnT-V knockdown significantly reduced the expression of the integrinβ1 signaling pathway, as evidenced by decreased downstream ERK1/2 activity, which inhibited cardiomyocyte hypertrophy accompanied by reduced ANP, BNP, and β-MHC expression. Furthermore, knocking down GnT-V expression lowered the TGF-β1-Smads signaling pathway, which reduced the expression of α-SMA, collagen I, and collagen III.

Conclusions: Overall, our research indicated that GnT-V may be a useful therapeutic target to treat diabetic cardiomyopathy, primarily in the inhibition of myocardial hypertrophy and fibrosis.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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