Plasma miR-409-3p promotes acute cerebral infarction via suppressing CTRP3.

Abnormal expression of miR-409-3p has been found in several neurodevelopmental disorders, but whether it is dysregulated in the patients with acute cerebral infarction (ACI) has not been evaluated. The current study mainly focused on the clinical significance and the underlying mechanism of plasma miR-409-3p in the progression of ACI. The level of plasma miR-409-3p was determined in ACI patients (n = 80) and healthy controls (n = 30).

Investigating multiple dysregulated pathways in rheumatoid arthritis based on pathway interaction network.

The traditional methods of identifying biomarkers in rheumatoid arthritis (RA) have focussed on the differentially expressed pathways or individual pathways, which however, neglect the interactions between pathways. To better understand the pathogenesis of RA, we aimed to identify dysregulated pathway sets using a pathway interaction network (PIN), which considered interactions among pathways. Firstly, RA-related gene expression profile data, protein-protein interactions (PPI) data and pathway data were taken up from the corresponding databases.

MiR-204 enhances the progression of osteoarthritis by suppressing the production of IL-1β.

Recent studies suggest that cytokines and microRNAs play a key role in the destruction of cartilage matrix in osteoarthritis (OA) tissues. In the current study, we focused on miR-204, which has never been explored in OA. We found that the level of miR-204 was markedly reduced in the OA cartilage tissues compared with that of normal control.

Integration of gene expression data and genetic variations involved in breast cancer.

Purpose: The studies of transcriptome and genome involved in breast cancer are effectively promote the understanding of biological processes and the development of novel targeted therapies. Here we performed an integrated analysis of gene expression and genetic variation to disclose the molecular pathogenesis in breast cancer.

Methods: Gene expression profiles were applied to identify differential expression levels of genes between breast cancer and normal subjects.