Plasma exosomes confer hypoxic pulmonary hypertension by transferring LOX-1 cargo to trigger phenotypic switching of pulmonary artery smooth muscle cells.

The pulmonary vascular remodeling (PVR), the pathological basis of pulmonary hypertension (PH), entails pulmonary artery smooth muscle cells (PASMCs) phenotypic switching, but appreciation of the underlying mechanisms is incomplete. Exosomes, a novel transfer machinery enabling delivery of its cargos to recipient cells, have been recently implicated in cardiovascular diseases including PH. The two critical questions of whether plasma-derived exosomes drive PASMCs phenotypic switching and what cargo the exosomes transport, however, remain unclear. Herein, by means of transmission electron microscopy and protein detection, we for the first time, characterized lectin like oxidized low-density lipoprotein receptor-1 (LOX-1) as a novel cargo of plasma-derived exosomes in PH. With LOX-1 knockout (Olr1-/-) rats-derived exosomes, we demonstrated that exosomal LOX-1 could be transferred into PASMCs and thus elicited cell phenotypic switching. Of importance, Olr1-/- rats exhibited no cell phenotypic switching and developed less severe PH, but administration of wild type rather than Olr1-/- exosomes to Olr1-/- rats recapitulated the phenotype of PH with robust PASMCs phenotypic switching. We also revealed that exosomal LOX-1 triggered PASMCs phenotypic switching, PVR and ultimately PH via ERK1/2-KLF4 signaling axis. This study has generated proof that plasma-derived exosomes confer PH by delivering LOX-1 into PASMCs. Hence, exosomal LOX-1 represents a novel exploitable target for PH prevention and treatment.

Effect of curcumin on expressions of NF-κBp65, TNF-α and IL-8 in placental tissue of premature birth of infected mice.

OBJECTIVE: To observe the effect of curcumin on expressions of nuclear transcription factor-kappa Bp65 (NF-κBp65), TNF-α and IL-8 in placental tissue of premature birth of infected mice induced by lipopolysaccharide (LPS). METHODS: A total of 60 C57BL/6 mice pregnant with 15 d were collected and randomly divided into control group, model group, treatment group and preventative group. LPS was repeatedly injected in abdominal cavity to construct infected premature birth model, while mice of control group were given with 100 mg/kg of vitamin C through abdominal cavity injection and mice of treatment group and preventative group were given curcumin of 100 mg/kg through abdominal cavity injection after modeling operation and before 1 d of modeling operation, respectively. A total of 5 mice of four groups respectively were executed by cervical dislocation after 6 h, 12 h and 24 h after constructing model. Placental tissues were collected and the immunohistochemical method SABC of immunologic tissue was used to detect the expression of NF-κBp65, TNF-α and IL-8 and peripheral blood of executed mice after 24 h was collected to detect the concentrations of IL-8, malondialdehyde (MDA) and superoxide dismutase (SOD), meanwhile live birth rate of four groups was contrasted. RESULTS: Staining intensity of NF-κBp65, TNF-α and IL-8 in placental tissue of treatment group and preventative group was significantly higher than control group but lower than model group (P < 0.05). Level of serum IL-8 and MDA of control group was significantly lower than the other three groups (P < 0.05) and level of blood of SOD in model group was significantly lower than control group (P < 0.05). Levels of serum IL-8 and MDA of treatment group and preventative group were significantly lower than model group (P < 0.05) while level of SOD was significantly higher than model group (P < 0.05). Live birth rate of treatment group and preventative group was significantly higher than model group (P < 0.05). CONCLUSIONS: Curcumin can effectively prevent the active pathway of NF-κB in pregnant tissue of premature birth of infected mice, reduce the expression of TNF-α and IL-8 and relieve the damage of lipid peroxide of oxidative stress of LPS on mother-fetus and further to achieve the objective of preventing and curing premature birth induced with infection.

Evaluation of the effects of active fractions of chinese medicine formulas on IL-1ß, IL-6, and TNF-α release from ANA-1 murine macrophages.

ETHNOPHARMACOLOGICAL RELEVANCE: Yaotongning (YTN) is a traditional Chinese Medicine (TCM) that contains ten component medicinal materials (CMMs) and uses Chinese rice wine as a vehicle to enhance its efficacy. YTN has been used for rheumatoid arthritis (RA) treatment in China for decades and has been reported to have anti-inflammatory and analgesic effects, as well as to strengthen the immune system. AIM OF THE STUDY: The present work quantitatively evaluated the in vitro effects of active fractions from the ten CMMs that make up YTN and eight additional herbs commonly used in TCM formulas for RA treatment, as well as different combinations of these active fractions, on cellular immune response; the findings were used to determine which active fractions are responsible for promoting an immune response, and to assess whether YTN is superior to other similar formulas and whether YTN can be improved by simplifying its formula from the point of its cellular immunomodulatory activity. MATERIALS AND METHODS: Using the YTN formulation principles and some concepts in combinatorial chemistry, 27 TCM samples were designed by combining some or all of the active fractions of YTN and other eight herbs used for RA treatment. Release of interleukin-1ß (IL-1ß), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α) from ANA-1 murine macrophages was measured using an enzyme-linked immunosorbent assay (ELISA). The immunoregulatory effects of the TCM samples were evaluated by comparing their half-effective concentrations (EC50) for stimulating the release of these cytokines. RESULTS: Among the investigated active fractions, the flavonoids from Carthamus tinctorius (Fct), Davallia mariesii (Fdm), and Cinnamomum cassia Twig volatile oils (Vca) from the eight selected herbs effectively promoted IL-1ß and IL-6 release from ANA-1 cells. Saponins from the YTN CMM Glycyrrhiza uralensis (Sgu) were the most potent promoters of IL-1ß and TNF-α release. The aqueous extract of YTN CMM Eupolyphaga sinensis (Ves) strongly enhanced the release of IL-1ß, IL-6, and TNF-α from ANA-1 cells. The EC50 values for stimulating the secretion of IL-1ß, IL-6, and TNF-α could be determined for only six samples. The full YTN formula and the sample containing 50% Glycyrrhiza uralensis saponins, 25% of the mixture of alkaloids, and 25% of the mixture of all flavonoids exhibited good comprehensive cellular immunomodulatory activity. The immunomodulatory activity of the complete YTN formula was better than that of the sample containing all active fractions of YTN without Chinese rice wine (the YTN vehicle). CONCLUSIONS: Sgu and Ves are the primary active fractions of YTN involved in stimulating immune responses. The YTN prescription was reasonably effective at promoting cellular immune responses. Chinese rice wine, the YTN vehicle, strengthened the immunoregulatory activity of YTN. The results of this study demonstrate that the YTN recipe could be improved by reducing the number of CMMs and altering some active fractions without reducing its activity to promote cellular immune responses.

A novel method to predict protein-protein interactions based on the information of protein-protein interaction networks and protein sequence.

Protein-protein interactions (PPIs) are crucial to most biochemical processes in human beings. Although many human PPIs have been identified by experiments, the number is still limited compared to the available protein sequences of human organisms. Recently, many computational methods have been proposed to facilitate the recognition of novel human PPIs. However the existing methods only concentrated on the information of individual PPI, while the systematic characteristic of protein-protein interaction networks (PINs) was ignored. In this study, a new method was proposed by combining the global information of PINs and protein sequence information. Random forest (RF) algorithm was implemented to develop the prediction model, and a high accuracy of 91.88% was obtained. Furthermore, the RF model was tested using three independent datasets with good performances, suggesting that our method is a useful tool for identification of PPIs and investigation into PINs as well.