Type 1 diabetes is a progressive autoimmune disease that is largely silent in its initial stages. Yet, sensitive methods for detection of β-cell death and prediction and prevention of diabetes are lacking. Micro-RNAs (miRNAs) have been found at high concentrations in body fluids. Here in this study we sought to determine whether an islet enriched miRNA, miR-375, is a suitable blood marker to detect β-cell death and predict diabetes in mice. We measured miR-375 levels by quantitative RT-PCR in plasma samples of streptozotocin (STZ)-treated C57BL/6 mice and nonobese diabetic (NOD) mice. We also measured miR-375 levels in media samples of cytokine- or STZ-treated islets in the presence or absence of cell-death inhibitors. High-dose STZ administration dramatically increased circulating miR-375 levels, prior to the onset of hyperglycemia. Similarly, in the NOD mouse model of autoimmune diabetes, circulating miR-375 levels were significantly increased 2 weeks before diabetes onset. Moreover, cytokine- and STZ-induced cell death in isolated mouse islets produced a striking increase in extracellular miR-375 levels, which was reduced by cell death inhibitors. These data suggest that circulating miR-375 can be used as a marker of β-cell death and potential predictor of diabetes.
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http://dx.doi.org/10.1210/en.2012-1744 | DOI Listing |
Cancer Cell Int
January 2025
School of Clinical Medicine, Guizhou Medical University, Guiyang, Guizhou, China.
Recently, there has been growing interest in the role of circular RNAs (circRNAs) in the progression of human cancers. Cellular senescence, a known anti-tumour mechanism, has been observed in several types of cancer. However, the regulatory interplay of circRNAs with cellular senescence in pancreatic cancer (PC) is still unknown.
View Article and Find Full Text PDFDiabetol Metab Syndr
January 2025
Department of Medical Laboratory Sciences, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Background And Aims: Type 2 diabetes mellitus (T2DM) is usually complicated by cardiovascular diseases, hyperglycemia, and obesity, which worsen the outcome for the patient. Since recent evidence underlines the epigenetic role of glucagon-like peptide-1 receptor agonists (GLP-1RAs) in the management of these comorbidities, this study compared the effects of these agents, namely liraglutide, semaglutide, dulaglutide, and exenatide, on miRNA regulation in the management of T2DM.
Results: GLP-1RAs modify the expression of miRNAs involved in endothelial function, sugar metabolism, and adipogenesis, including but not limited to miR-27b, miR-130a, and miR-210.
J Genet Eng Biotechnol
December 2024
Endemic Medicine Department, Faculty of Medicine, Helwan University, Cairo, Egypt.
Objective: As one of the remarkable host responses to SARS-CoV-2 infection, circulating microRNAs (miRNAs) represent important diagnostic and prognostic diseases biomarkers. The study is a step towards highlighting the role of miRNAs in COVID-19 pathogenesis and severity.
Methods: In this case-control study, miRCURY LNA miRNA PCR plasma panel (168 miRNAs) was applied and the expression of the altered miRNAs was then analysed by quantitative real time PCR for 120 COVID-19 patients (30 mild, 30 moderate, 30 severe, and 30 critical) and 30 healthy subjects.
Mol Cell Probes
December 2024
Department of Ultrasound 2, Xinxiang Central Hospital (The Fourth Clinical College of Xinxiang Medical University), Xinxiang, 453000, China.
Background: Due to the complex pathogenesis of endometriosis, its early screening and development prediction are still challenging problems in the clinic.
Objectives: This study evaluated the significance of miR-375-3p in endometriosis onset, progression, and recurrence, aiming to identify a novel biomarker for disease diagnosis and prognosis.
Materials And Methods: The study enrolled 100 patients with endometriosis and 80 healthy females.
Cell Rep Med
December 2024
State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China. Electronic address:
Predicting the histopathology of residual retroperitoneal masses (RMMs) before post-chemotherapy retroperitoneal lymph node dissection in metastatic nonseminomatous germ cell tumors (NSGCTs) can guide individualized treatment and minimize complications. Previous single approach-based models perform poorly in validation. Herein, we introduce a machine learning model that evolves from a single-dimensional tumor diameter to incorporate high-dimensional radiomic features, with its effectiveness assessed using the macro-average area under the receiver operating characteristic curves (AUCs).
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