Chlorogenic acid,a dietary polyphenol,protects acetaminophen-induced liver injury and its mechanism

Chlorogenic acid (CGA) is one of the most abundant dietary polyphenols, possessing well-known antioxidant capacity. The present study is designed to observe the protection provided by CGA against acetaminophen (AP)-induced liver injury in mice in vivo and the underlying mechanisms engaged in this process. Serum transaminases analysis and liver histological evaluation demonstrated the protection of CGA against AP-induced liver injury. CGA treatment decreased the increased number of liver apoptotic cells induced by AP in a dose-dependent manner. CGA also inhibited AP-induced cleaved activation of caspase-3, 7. Moreover, CGA reversed AP-decreased liver reduced glutathione (GSH) levels, glutamate-cysteine ligase (GCL) and glutathione reductase activity. Further results showed that CGA increased mRNA and protein expression of the catalytic subunit of GCL (GCLC), thioredoxin (Trx) 1/2 and thioredoxin reductase (TrxR) 1. Furthermore, CGA abrogated AP-induced phospholyated activation of ERK1/2, c-Jun N-terminal kinase (JNK), p38 kinases and molecular signals upstream. The results of this study demonstrate that CGA counteracts AP-induced liver injury at various levels by preventing apoptosis and oxidative stress damage, and more specifically, both the GSH and Trx antioxidant systems and the mitogen-activated protein kinase (MAPK) signaling cascade appear to be engaged in this protective mechanism.     

Down-regulated miR-15a mediates the epithelial–mesenchymal transition in renal tubular epithelial cells promoted by high glucose

High glucose (HG) has been reported to be associated with renal dysfunction. And one potential mechanism underlining the dysfunction is the epithelial–mesenchymal transition (EMT) of renal tubular epithelial cells. Present study showed that EMT was induced in the HG-treated renal tubular epithelial cells by promoting the expression of mesenchymal phenotype molecules, such as α-SMA and collagen I, and down-regulating the expression of epithelial phenotype molecule E-cadherin. Moreover, we have identified the down-regulation of miR-15a which was accompanied with the HG-induced EMT. And the miR-15a overexpression inhibited the α-SMA, collagen I expression, and the promotion of E-cadherin expression by targeting and down-regulating AP4 which was also significantly promoted by the HG in the renal tubular epithelial cells. Thus, this study revealed that the weakening regulation on the AP4 expression by miR-15a might contribute to the HG-induced EMT in the renal tubular epithelial cells.     

Two-Component System Response Regulators Involved in Virulence of Streptococcus pneumoniae TIGR4 in Infective Endocarditis

Streptococci resident in the oral cavity have been linked to infective endocarditis (IE). While other viridans streptococci are commonly studied in relation to IE, less research has been focused on Streptococcus pneumoniae. We established for the first time an animal model of S. pneumoniae IE, and examined the virulence of the TIGR4 strain in this model. We hypothesized that two-component systems (TCS) may mediate S. pneumoniae TIGR4 strain virulence in IE and examined TCS response regulator (RR) mutants of TIGR4 in vivo with the IE model. Thirteen of the 14 RR protein genes were mutagenized, excluding only the essential gene SP_1227. The requirement of the 13 RRs for S. pneumoniae competitiveness in the IE model was assessed in vivo through use of quantitative real-time PCR (qPCR) and competitive index assays. Using real-time PCR, several RR mutants were detected at significantly lower levels in infected heart valves compared with a control strain suggesting the respective RRs are candidate virulence factors for IE. The virulence reduction of the ΔciaR mutant was further confirmed by competitive index assay. Our data suggest that CiaR is a virulence factor of S. pneumoniae strain TIGR4 for IE.     

Functional role of metalloproteins in genome stability

Cells contain a large number of metalloproteins that commonly harbor at least one metal ion cofactor. In metalloproteins, metal ions are usually coordinated by oxygen, sulfur, or nitrogen centers belonging to amino acid residues in the protein. The presence of the metal ion in metalloproteins allows them to take part in diverse biological processes, such as genome stability, metabolic catalysis, and cell cycle progression. Clinically, alteration of the function of metalloproteins in mammals is genetically associated with diseases characterized by DNA damage and repair defects. The present review focuses on the current perspectives of metal ion homeostasis in different organisms and summarizes the most recent understanding on magnesium, copper, iron, and manganese-containing proteins and their functional involvement in the maintenance of genome stability.     

Combining information from multiple bone turnover markers as diagnostic indices for osteoporosis using support vector machines

Context: Osteoporosis (OP) is a progressive systemic bone disease. Dual-energy X-ray absorptiometry (DXA) is routinely employed and is considered the gold standard method for the diagnosis of OP.

Objective: We aimed to investigate the potential use of combined information from multiple bone turnover markers (BTMs) as a clinical diagnostic tool for OP.

Materials and methods: A total of 9053 Chinese postmenopausal women (2464 primary OP patients and 6589 healthy controls) were recruited. Serum levels of six common BTMs, including BAP, BSP, CTX, OPG, OST and sRANKL were assayed. Models based on support vector machine (SVM) were constructed to explore the efficiency of different combinations of multiple BTMs for OP diagnosis.

Results: Increasing the number of BTMs used in generating the models increased the predictive power of the SVM models for determining the disease status of study subjects. The highest kappa coefficient for the model with one BTM (BAP) compared to DXA was 0.7783. The full model incorporating all six BTMs resulted in a high kappa coefficient of 0.9786.

Conclusion: Our findings showed that although single BTMs were not sufficient for OP diagnosis, appropriate combinations of multiple BTMs incorporated into the SVM models showed almost perfect agreement with the DXA.