Project description:Comparison of genes associated with the EMT between cytotrophoblast cells (CTB) and extravillous trophoblast cells (EVT) from normal third trimester placenta and abnormally invasive placenta (AIP)
Project description:Early-onset preeclampsia (EOPE) is a severe pregnancy complication associated with significant maternal and fetal morbidity and mortality. Currently, there is a critical need for accurate, non-invasive biomarkers to facilitate early diagnosis and effective management of EOPE. In this study, we aimed to investigate the transcriptional alterations and non-invasive biomarker potential of peripheral blood microRNAs in patients with EOPE. Through our research, we successfully identified two reliable plasma miRNA biomarkers and proposed a circulating two-miRNA panel for the non-invasive early detection of EOPE. Additionally, we independently validated our findings in different patient cohorts using various technological platforms.
Project description:Acute pulmonary embolism (APE) remains among the most formidable challenges facing public health practice in the 21st century. Accurate diagnosis of APE is severely hindered by the lack of biomarkers with both high sensitivity and specificity. MicroRNAs (miRNAs) involve various pathophysiologic processes underlying multitudinous diseases. Accmulating evidences point to the fact that miRNAs may serve as ideal biomarkers.The aim of the present study was to explore the potential of plasma miRNAs as biomarkers for diagnosis of APE.
Project description:Acute pulmonary embolism (APE) remains among the most formidable challenges facing public health practice in the 21st century. Accurate diagnosis of APE is severely hindered by the lack of biomarkers with both high sensitivity and specificity. MicroRNAs (miRNAs) involve various pathophysiologic processes underlying multitudinous diseases. Accmulating evidences point to the fact that miRNAs may serve as ideal biomarkers.The aim of the present study was to explore the potential of plasma miRNAs as biomarkers for diagnosis of APE. Two TaqMan miRNA arrays were performed on plasma of 10 APE patients and 10 healthy controls.
Project description:Purpose: PCa is the second most commonly diagnosed malignancy in men. PCa Diagnosis are based on biopsy sampling that is an invasive, expensive procedure and does not accurately represent multifocal disease. It is desirable to have an easily accessible, minimally invasive way to accurately determine the molecular signature of patient’s tumor that can aid in diagnosis and risk stratification. Methods:we enrolled a total of 70 patients underwent 12-core transrectal ultrasound (TRUS) biopsy of which 48% had cancer in the diagnosis. The mean age at diagnosis was 67.15 (IR 55/75), the mean PSA (ng/ml) at diagnosis was 7.8 (IR 4.1/13.4) and the mean TRUS Volume (ml) was 53.5 (IR 29/86). The cancer biopsy presented 73.1% of positive core. Among all cancer patients, 57% showed a High grade of cancer status (Grade 3). Controls are patients with Benign Prostate Hyperplasia (BPH). MicroRNA-expression profiling (NGS analysis) was performed to identify tumor-related microRNAs (miRs) and determine their association with clinicopathological characteristics. Results: The expression of miRs -4732-3p, let7a, 26b-5p, 98-5p, 30c-5p and 21-5p may identified Prostate Cancer in plasma samples. Higher expression of mir-4732-3p is associated with a high grade tumor Conclusions: miRs signature discriminate Prostate cancer in plasma better to PSA values and is associated with high grade tumor status
Project description:To find potential biomarkers and molecular mechanism for placenta accreta spectrum disorders , we identified the differently expressed patterns of lncRNAs and mRNAs in invasive placneta and adherent normal placenta tissues. The results provided a novel insight into the pathogenesis of placenta accreta spectrum disorders .
Project description:Transcriptome analysis of FFPE placenta of placenta accreta spectrum, over increta. Pre-diagnosis is essential to safely deal with placenta accrete spectrum, but definitive diagnostic markers have not yet been established. We conducted a transcriptome analysis of FFPE placenta to establish early diagnostic markers for placenta accreta.
Project description:Background: Congenital heart disease (CHD) is one of the most predominant birth defects that cause infant death worldwide. The timely and successful surgical treatment of CHD on newborns after delivery requires accurate detection and reliable diagnosis during pregnancy. However, there are no biomarkers that can serve as an early diagnostic factor for CHD patients. tRNA-derived fragments (tRFs) have been reported to play an important role in the occurrence and progression of numerous diseases, but their roles in CHD remains unknown. Methods: High-throughput sequencing was performed on the peripheral blood of pregnant women with abnormal fetal heart and normal fetal heart, and 728 differentially expressed tRFs/tiRNAs were identified, among which the top 18 tRFs/tiRNAs were selected as predictive biomarkers of CHD. Then, quantitative reverse transcriptase polymerase chain reaction verified the expression of tRFs/tiRNAs in more clinical samples, and the correlation between tRFs/tiRNAs abnormalities and CHD was analyzed. Results: tRF-58:74-Gly-GCC-1 and tiRNA-1:35-Leu-CAG-1-M2 may be promising biomarkers. Through further bioinformatics analysis, we predicted that TRF-58:744-GLy-GCC-1 could induce CHD by influencing biological metabolic processes. Conclusions: our results provide a theoretical basis for the abnormally expressed tRF-58:74-Gly-GCC-1 in maternal peripheral blood as a new potential biomarker for the accurate diagnosis of CHD during pregnancy.