Project description:Microarrays with 1,205 human microRNAs and 142 viral microRNAs were used for screening candidate diagnostic markers in the 3 categories of subjects from 24 plasma samples including acute aortic dissection, healthy and aortic aneurysm subjects. There were two microRNAs overlapping in the 3 group comparisons. Finally, 16 candidate microRNAs discovered via microarrays were selected for the further validation.
Project description:The mechanisms of acute aortic dissection are not well understood. Transcriptomic strategy has been proven to be an effective way to find the potential mechanisms and also the reliable biomarkers for a specific disease. The whole-genome expression profiling was assayed in a panel of aortic tissues from 4 male acute aortic dissection patients and 4 male healthy controls.
Project description:Drug-induced liver injury (DILI) is a leading cause of acute liver failure and the major reason for withdrawal of drugs from the market. Preclinical evaluation of drug candidates has failed to detect about 40% of potentially hepatotoxic compounds in humans. At the onset of liver injury in humans, currently used biomarkers have difficulty differentiating severe DILI from mild, and/or predict the outcome of injury for individual subjects. Therefore, new biomarker approaches for predicting and diagnosing DILI in humans are urgently needed. Recently, circulating microRNAs (miRNAs) such as miR-122 and miR-192 have emerged as promising biomarkers of liver injury in preclinical species and in DILI patients. In this study, we focused on examining global circulating miRNA profiles in serum samples from subjects with liver injury caused by accidental acetaminophen (APAP) overdose. Upon applying next generation high-throughput sequencing of small RNA libraries, we identified 36 miRNAs, including 3 novel miRNA-like small nuclear RNAs, which were enriched in the serum of APAP overdosed subjects. The set comprised miRNAs that are functionally associated with liver-specific biological processes and relevant to APAP toxic mechanisms. Although more patients need to be investigated, our study suggests that profiles of circulating miRNAs in human serum might provide additional biomarker candidates and possibly mechanistic information relevant to liver injury.
Project description:Purpose: The aim of this study is to have a fullscape of molecular pathology of Stanford type A aortic dissection Methods: All TAAD patients under consideration underwent an ascending aortic replacement surgery during a cardiopulmonary bypass. The normal ascending aortic tissue samples were obtained from patients undergoing coronary artery bypass grafting surgery (CABG) without any aortic diseases. We selected 20 samples (10 TAAD and 10 normal) for the whole transcriptome sequencing. Total RNA was extracted from each sample using TRIzol Reagent (ThermoFisher) and was stored in 1 mL of 75% ethanol at -80 ℃ until further usage. Conclusions: We identified exaggerated autophagy as a molecular biomarker for aortic dissection. We also predicted 10 hub genes and an HIF1A-ATG3 axis which could provide new insights in understanding aortic dissection.
Project description:Differential diagnosis of adrenocortical adenoma and carcinoma is of pivotal clinical relevance, as the prognosis and clinical management of benign and malignant adrenocortical tumours is entirely different. Circulating microRNAs are promising biomarker candidates of malignancy in several tumours. In the present study we investigate circulating microRNAs in adrenocortical tumours and to evaluate their potential applicability as biomarkers of malignancy. For the miRNA profiling, 8 preoperative plasma samples obtained from patients with adrenocortical adenomas and carcinomas and were studied by microarray.
Project description:We generated a novel genetic mouse model of fatal aortic dissection by introducing a pathogenic variant of Fbn1 (Fbn1G234D/G234D), identified in a patient with familial aortic dissection, into mice using the CRISPR/Cas9 system. To investigate the cellular heterogeneity underlying the progression of aortic dissection, we performed single cell RNA sequencing on aortic tissues obtained from Fbn1G234D/G234D (AD) and wild-type mice (WT).