Project description:Comparison between miRNA expression in plasma of women with and without metabolic syndrome. We used microarrays to compare the composition of miRNAs in plasma of participants with and without metabolic syndrome (ATP III criteria).
Project description:Metabolic syndrome is a common and complicated metabolic disorder and defined as a clustering of metabolic risk factors such as insulin resistance or diabetes, obesity, hypertension, and hyperlipidemia. The identification of accurate and effective biomarkers is beneficial to the early diagnosis and treatment of metabolic syndrome. Our study firstly detected the plasma miRNA expression profile of MetS patients compared with control group by high-throughput sequencing and integrated bioinformatics approaches. To our best knowledge, our study firstly perform high-throughput sequencing to obtain the circulating microRNA expression data in MetS plasma, and identified several potential plasma biomarkers for MetS.
Project description:Polycystic ovary syndrome (PCOS) is a highly prevalent endocrine-metabolic disorder. Epigenetic etiology is suggested to play an important role in PCOS pathogenesis, since it is hard to elucidate completely by genetic variations. Exosomal microRNAs (miRNAs) have recently been identified as a novel mechanism of intercellular communication, and a more stable regulator of gene expression compared with free miRNAs. The aim of this study is to detect the different expression profile of plasma exosomal miRNAs between PCOS patients and healthy controls.
Project description:Introduction: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific expression profiles. However, efforts to develop circulating breast cancer biomarkers are challenged by the heterogeneity of microRNAs in the blood. To overcome this challenge, we aimed to develop a molecular profile of microRNAs specifically secreted from breast cancer cells. Our first step towards this direction relates to capturing and analyzing the contents of exosomes, which are small secretory vesicles that selectively encapsulate microRNAs indicative of their cell of origin. To our knowledge, circulating exosome microRNAs have not been well evaluated as biomarkers for breast cancer diagnosis or monitoring. Methods: Exosomes were collected from the conditioned media of human breast cancer cell lines, mouse plasma of patient-derived orthotopic xenograft models (PDX), and human plasma samples. Exosomes were verified by electron microscopy, nanoparticle tracking analysis, and western blot. Cellular and exosome microRNAs from breast cancer cell lines were profiled by next-generation small RNA sequencing. Plasma exosome microRNA expression was analyzed by qRT-PCR analysis. Results: Small RNA sequencing and qRT-PCR analysis showed that several microRNAs are selectively encapsulated or highly enriched in breast cancer exosomes. Importantly, the selectively enriched exosome microRNA, human miR-1246, was detected at significantly higher levels in exosomes isolated from PDX mouse plasma, indicating that tumor exosome microRNAs are released into the circulation and can serve as plasma biomarkers for breast cancer. This observation was extended to human plasma samples where miR-1246 and miR-21 were detected at significantly higher levels in the plasma exosomes of 16 breast cancer patients as compared to the plasma exosomes of healthy control subjects. Receiver Operating Characteristic (ROC) curve analysis indicated that the combination of plasma exosome miR-1246 and miR-21 levels is a better indicator of breast cancer than their individual levels. Conclusions: Our results demonstrate that certain microRNA species, such as miR-21 and miR-1246, are selectively enriched in human breast cancer exosomes and significantly elevated in the plasma of breast cancer patients. These findings indicate a potential new strategy to selectively analyze plasma breast cancer microRNAs indicative of the presence of breast cancer.
Project description:In this work, plasma samples of 5 metabolic syndrome patients and 5 healthy volunteers were collected. Then, high-throughput RNA sequencing was performed to detect the expression of plasma coding RNA.
Project description:In order to detect the expression profile of plasma microRNAs, we have employed microRNA microarray expression profiling as a discovery platform to identify microRNAs with the potential to distinguish the different microRNA profiles from ESCC patients and healthy controls. Three pairs of plasma samples from ESCC patients and healthy controls without any digestive tract disease history were collected for microarray analysis.
Project description:We assessed vastus lateralis muscle gene expression levels of 12 women with the metabolic syndrome before and after a 6 month exercise training program RNA was isolated from a vastus lateralis muscle biopsy of 6 women with the metabolic syndrome before and after a 6 month guided endurance exercise training program