No abstract

The current study mainly aims to evaluate the expression pattern and underlying mechanism of upstream stimulating factor 1 (USF1) in the muscle tissues of knee osteoarthritis (KOA) patients. In accordance with previous findings, our data showed that muscle strength was significantly decreased in KOA patients compared with controls. Furthermore, several inflammatory factors, including tumor necrosis factor α (TNFα), IL-8, IL-6 and MCP-1, were associated with reduced muscle strength in KOA patients. Not surprisingly, NF-κB signaling was significantly activated in the muscle tissues of KOA patients compared with control individuals. Furthermore, we showed that USF1 was increased in the muscles of KOA patients compared with controls. More importantly, overexpression of USF1 in primary human skeletal muscle cells significantly increased the activation of NF-κB signaling as well as the levels of pro-inflammatory factors. In summary, we showed novel data that the upregulation of USF1 promoted NF-κB activation-induced inflammatory responses in muscle tissues of KOA patients.

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). Pearson correlation assay was performed to evaluate the association and cardiovascular risk factors. A receiver operating characteristic curve (ROC) was used to evaluate the diagnostic value of plasma miR-409-3p levels in patients with ACI. Dual luciferase reporter assay and western blot were performed to determine the possible target gene of miR-409-3p. Our data showed that the expression of plasma miR-409-3p in the ACI group was higher than that in the healthy controls. Furthermore, Pearson correlation analysis indicated a positive correlation between plasma miR-409-3p and the NIHSS score. ROC analysis indicated that plasma miR-409-3p could differentiate plasma miR-409-3p in ACI patients from healthy controls. Then, we explored the possible target genes of miR-409-3p. Interestingly, C1q and TNF-related 3 (CTRP3), a novel adipose tissue-derived secreted factor, was found to be a target gene of miR-409-3p. We found that knockdown of CTRP3 significantly induced PC12 cell apoptosis, even in PC12 cells transfected with miR-409-3p inhibitor. These data suggested that miR-409-3p induced PC12 cell apoptosis by targeting CTRP3. Altogether, elevated plasma miR-409-3p is correlated with disease severity and may be efficient for the early diagnosis of ACI.

Increasing evidence has suggested that microRNAs (miRNAs; miRs) are extensively involved in the progression of chondrosarcoma (CHS). However, few studies have investigated the functional role of miR-525 in CHS tissues and cells. In the present study, it was discovered that miR-525 levels were decreased in CHS tissues and cells. Dual luciferase assays indicated that F-spondin 1 (SPON1) is a target gene of microRNA (miR)-525. In addition, miR-525 overexpression suppressed SW1353 cell migration and invasion and enhanced SW1353 cell apoptosis. Increased SPON1 expression levels were identified in CHS tissues and cell lines. Furthermore, miR-525 overexpression significantly suppressed the activation of focal adhesion kinase (FAK)/Src/phosphatidylinositol-4,5-bisphosphate 3-kinase (PI3K)/protein kinase B (Akt) signaling in CHS cells; this suppression led to SPON1 silencing. In comparison, the SPON1 knockdown-mediated inactivation of FAK/Src/PI3K/Akt signaling was inhibited by inhibiting miR-525. In summary, the present study revealed that decreased miR-525 levels could enhance CHS malignancy as decreased miR-525 binding to the 3′ untranslated region of SPON1 activates FAK/Src/PI3K/Akt signaling.

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. Secondly, principal component analysis method was used to calculate the pathway activity of each of the pathway, and then a seed pathway was identified using data gleaned from the pathway activity. A PIN was then constructed based on the gene expression profile, pathway data, and PPI information. Finally, the dysregulated pathways were extracted from the PIN based on the seed pathway using the method of support vector machines and an area under the curve (AUC) index. The PIN comprised of a total of 854 pathways and 1064 pathway interactions. The greatest change in the activity score between RA and control samples was observed in the pathway of epigenetic regulation of gene expression, which was extracted and regarded as the seed pathway. Starting with this seed pathway, one maximum pathway set containing 10 dysregulated pathways was extracted from the PIN, having an AUC of 0.8249, and the result indicated that this pathway set could distinguish RA from the controls. These 10 dysregulated pathways might be potential biomarkers for RA diagnosis and treatment in the future.