The role of exosomes from BALF in lung disease.

Exosomes are released from a variety of immune cells and nonimmune cells, the phospholipid vesicle bilayer membrane structure actively secreted into tissues. Recently, exosomes were demonstrated to be effectively delivered proteins, cholesterol, lipids, and amounts of DNA, mRNA, and noncoding RNAs to a target cell or tissue from a host cell. These can be detected in blood, urine, exhaled breath condensates, bronchoalveolar lavage fluid (BALF), ascites, and cerebrospinal fluid. BALF is a clinical examination method for obtaining alveolar cells and biochemical components, reflecting changes in the lungs, so it is also called liquid biopsy. Exosomes from BALF become a new method for intercellular communication and well-documented in various pulmonary diseases. In chronic obstructive pulmonary disease (COPD), BALF exosomes can predict the degree of COPD damage and serve as an effective monitoring indicator for airflow limitation and airway remodeling. It also mediates antigen presentation in the airways to the adaptive immune system as well as costimulatory effects. Furthermore, BALF exosomes from acute lung injury and infective diseases are closely related to various infections and lack of oxygen status. BALF exosomes play an important role in the diagnosis and prognosis of lung cancer. The effect of immunomodulatory role for BALF exosomes in adaptive and innate immune responses has been studied in sarcoidosis. The intercellular communication in the microenvironment of BALF exosomes in pulmonary fibrosis and lung remodeling have been studied. In this review, we summarize the novel findings of exosomes in BALF, executed function by protein, miRNA, DNA cytokine, and so on in several pulmonary diseases.

miR-210 inhibits cell migration and invasion by targeting the brain-derived neurotrophic factor in glioblastoma.

Recently, there is increasing evidence that microRNAs are related to the development, diagnosis, treatment, and prognosis of glioblastoma. microRNA-210 (miR-210) had been identified in many human cancers, but the specific function of miR-210 remains unclear in glioblastoma. The present study mainly focused on exploring its biological role and potential molecular mechanisms in glioblastoma. We found that miR-210 expression was decreased in glioblastoma, and downregulation of miR-210 was related to worse prognosis in glioblastoma patients. In addition, miR-210 overexpression inhibited the migration and invasion of human glioblastoma cells. At the same time, we found that miR-210 directly targets the brain-derived neurotrophic factor (BDNF) and reduces BDNF expression level. Consistently, BDNF silencing had the same effects as miR-210 overexpression in glioblastoma, and upregulation of BDNF counteracted the inhibitory effect of miR-210 in glioblastoma. In conclusion, miR-210 suppressed the migration and invasion of glioblastoma cells by targeting BDNF.

Bioinformatics analysis to screen for critical genes between survived and non­survived patients with sepsis.

Sepsis is a systemic inflammatory response syndrome, which is mostly induced by infection in the lungs, the abdomen and the urinary tract. The present study is aimed to investigate the mechanisms of sepsis. Expression profile of E­MTAB­4421 (including leukocytes isolated from 207 survived and 58 non­survived patients with sepsis) and E­MTAB­4451 (including leukocytes isolated from 56 survived and 50 non­survived patients with sepsis) were downloaded from the European Bioinformatics Institute database. Based on the E­MTAB­4421 expression profile, several differentially expressed genes (DEGs) were identified and performed with hierarchical clustering analysis by the limma and pheatmap packages in R. Using the BioGRID database and Cytoscape software, a protein­protein interaction (PPI) network was constructed for the DEGs. Furthermore, module division and module annotation separately were conducted by the Mcode and BiNGO plugins in Cytoscape software. Additionally, the support vector machine (SVM) classifier was constructed by the SVM function of e1071 package in R, and then verified using the dataset of E­MTAB­4451. A total of 384 DEGs were screened in the survival group. The PPI network was divided into 4 modules (modules A, B, C and D) involving 11 DEGs including microtubule­associated protein 1 light chain 3 alpha (MAP1LC3A), protein kinase C­alpha (PRKCA), metastasis associated 1 family member 3 (MTA3), and scribbled planar cell polarity protein (SCRIB). SCRIB and PRKCA in module B, as well as MAP1LC3A and MTA3 in module D, might function in sepsis through PPIs. Functional enrichment demonstrated that MAP1LC3A in module D was enriched in autophagy vacuole assembly. Finally, the SVM classifier could correctly and effectively identify the samples in E­MTAB­4451. In conclusion, DEGs such as MAP1LC3A, PRKCA, MTA3 and SCRIB may be implicated in the progression of sepsis, and need further and more thorough confirmation.

Development and validation of a sensitive LC-MS/MS assay for quantification of bruceine D in rat plasma.

A sensitive LC-MS/MS method for the determination of bruceine D in rat plasma was developed. The analyte and IS were separated on a Luna C18 column (2.1 × 50 mm, 1.7 µm) using a mobile phase of acetonitrile and 0.1% formic acid in water (40:60, v/v) at a flow rate of 0.25 mL/min. The selected reaction monitoring mode was chosen to monitor the precursor-to-product ion transitions of m/z 409.2 → 373.2 for bruceine D and m/z 469.2 → 229.3 for IS using a negative ESI mode. The method was validated over a concentration range of 0.5-2000 ng/mL for bruceine D. Total chromatography time for each run was 3.5 min. The method was successfully applied to a pharmacokinetic study of bruceine D in rats. Copyright © 2016 John Wiley & Sons, Ltd.