Propofol improves survival in a murine model of sepsis via inhibiting Rab5a-mediated intracellular trafficking of TLR4.

BACKGROUND: Propofol is a widely used anesthetic and sedative, which has been reported to exert an anti-inflammatory effect. TLR4 plays a critical role in coordinating the immuno-inflammatory response during sepsis. Whether propofol can act as an immunomodulator through regulating TLR4 is still unclear. Given its potential as a sepsis therapy, we investigated the mechanisms underlying the immunomodulatory activity of propofol. METHODS: The effects of propofol on TLR4 and Rab5a (a master regulator involved in intracellular trafficking of immune factors) were investigated in macrophage (from Rab5a-/- and WT mice) following treatment with lipopolysaccharide (LPS) or cecal ligation and puncture (CLP) in vitro and in vivo, and peripheral blood monocyte from sepsis patients and healthy volunteers. RESULTS: We showed that propofol reduced membrane TLR4 expression on macrophages in vitro and in vivo. Rab5a participated in TLR4 intracellular trafficking and both Rab5a expression and the interaction between Rab5a and TLR4 were inhibited by propofol. We also showed Rab5a upregulation in peripheral blood monocytes of septic patients, accompanied by increased TLR4 expression on the cell surface. Propofol downregulated the expression of Rab5a and TLR4 in these cells. CONCLUSIONS: We demonstrated that Rab5a regulates intracellular trafficking of TLR4 and that propofol reduces membrane TLR4 expression on macrophages by targeting Rab5a. Our study not only reveals a novel mechanism for the immunomodulatory effect of propofol but also indicates that Rab5a may be a potential therapeutic target against sepsis.

Rapid determination of sulfonamides in chicken using two-dimensional online cleanup mode with three columns coupled to liquid chromatography-tandem mass spectrometry.

A novel method based on online cleanup mode combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) was established. After an automated sample cleanup system with aqueous gel column, sulfonamides in chicken were detected in multiple reaction monitoring (MRM) mode. The total run time of the system, which included automated extraction, analytical chromatography and re-equilibration, was within 30 min. Different experimental processes containing extraction, purification, separation, and detection have been evaluated respectively to obtain optimized parameters. The developed method was fully validated and the efficient and superior performance of the developed method was demonstrated. The method produced linear results for all sulfonamides from 1 to 10 ng g-1 with a linearity >0.99. The intra-day precision of the method was <8.45% while the inter-day precision was <9.11%. The matrix effect was 77.5% to 105.1%. The recovery was in the range of 72.66% to 116.7% for all sulfonamides. The limit of quantitation in the chicken was 0.6 ng g-1 and the limit of detection was 0.2 ng g-1. Compared with traditional procedures, the automated sample clean-up strategy could significantly shorten the analysis time and offer higher detectability, with the advantage of sufficient sensitivity. Also, the use of gel chromatography column employed the water phase and reduced the organic reagent to achieve the level of green chemistry.

Development of an EHR system for sharing - a semantic perspective.

Building up Electronic Health Record (EHR) systems is considered a promising approach to improve health care quality in China. In order to meet the challenges of EHR semantic interoperability, we present a HL7 Clinical Document Architecture (CDA) R2 based EHR system prototype developed for Guangdong Hospital of Traditional Chinese Medicine (GDHTCM). In particular, we demonstrate how semantic technologies are leveraged to benefit EHR users from enabling semantic search against an EHR repository. Pilot users of the system deemed it clinically useful, which encourages us to develop more capabilities based on EHR in future, like cross-institution sharing and integration with a clinical decision support system.