缺乏 Trex1 会导致自发罹患 1 型糖尿病

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS Nutrition & Metabolism Pub Date : 2024-01-02 DOI:10.1186/s12986-023-00777-6
Jiang-Man Zhao, Zhi-Hui Su, Qiu-Ying Han, Miao Wang, Xin Liu, Jing Li, Shao-Yi Huang, Jing Chen, Xiao-Wei Li, Xia-Ying Chen, Zeng-Lin Guo, Shuai Jiang, Jie Pan, Tao Li, Wen Xue, Tao Zhou
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引用次数: 0

摘要

1 型糖尿病被认为是一种自身免疫性疾病,其特点是由于胰腺中的有害炎症导致胰岛素分泌细胞遭到破坏。越来越多的证据表明,I型干扰素在1型糖尿病的发病过程中起着重要作用。利用 CRISPR-Cas9 技术生成了 Trex1 基因缺陷大鼠。用罗氏 Accuchek 血糖监测仪测量大鼠的空腹血糖水平。用酶联免疫吸附法测定胰岛素、胰岛自身抗体和干扰素-β的水平。炎症基因通过定量 PCR 和 RNA-seq 进行检测。血红素-伊红染色用于检测胰腺、眼睛和肾脏的病理变化。肾脏的病理特征也通过马森三色染色法和周期性酸-希夫染色法进行检测。免疫荧光染色法分析了胰腺中胰岛细胞、免疫细胞或 ssDNA 的分布。在这项研究中,我们建立了Trex1缺失的Sprague Dawley大鼠模型,并意外地发现Trex1-/-大鼠会自发患上1型糖尿病。与人类糖尿病相似,大鼠的高血糖也伴随着糖尿病并发症,如糖尿病肾病和白内障。机理研究发现,Trex1 基因缺失的大鼠胰腺中积累了 ssDNA,并产生了过多的促炎细胞因子,包括 IFN-β。这些都可能导致胰腺发炎,并最终导致胰腺β细胞衰退。我们的研究将DNA诱导的慢性炎症与1型糖尿病的发病机制联系起来,同时也为1型糖尿病的研究提供了一个动物模型。
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Deficiency of Trex1 leads to spontaneous development of type 1 diabetes
Type 1 diabetes is believed to be an autoimmune condition, characterized by destruction of insulin-producing cells, due to the detrimental inflammation in pancreas. Growing evidences have indicated the important role of type I interferon in the development of type 1 diabetes. Trex1-deficient rats were generated by using CRISPR-Cas9. The fasting blood glucose level of rat was measured by a Roche Accuchek blood glucose monitor. The levels of insulin, islet autoantibodies, and interferon-β were measured using enzyme-linked immunosorbent assay. The inflammatory genes were detected by quantitative PCR and RNA-seq. Hematein-eosin staining was used to detect the pathological changes in pancreas, eye and kidney. The pathological features of kidney were also detected by Masson trichrome and periodic acid-Schiff staining. The distribution of islet cells, immune cells or ssDNA in pancreas was analyzed by immunofluorescent staining. In this study, we established a Trex1-deletion Sprague Dawley rat model, and unexpectedly, we found that the Trex1−/− rats spontaneously develop type 1 diabetes. Similar to human diabetes, the hyperglycemia in rats is accompanied by diabetic complications such as diabetic nephropathy and cataract. Mechanistical investigation revealed the accumulation of ssDNA and the excessive production of proinflammatory cytokines, including IFN-β, in Trex1 null pancreas. These are likely contributing to the inflammation in pancreas and eventually leading to the decline of pancreatic β cells. Our study links the DNA-induced chronic inflammation to the pathogenesis of type 1 diabetes, and also provides an animal model for type 1 diabetes studies.
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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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