Cinnamaldehyde was shown to have significant anti-inflammatory and anti-pyretic actions in studies from both others' and our lab. Prostaglandin E2 (PGE2) plays a key role in generation of these pathological states, while PGE, synthase-1 (mPGES-1) is one of crucial biological elements in the process of PGE2 production. And as a downstream inducible terminal prostaglandin synthase of COX-2, mPGES-1 is now regarded as a more promising novel drug target than COX-2 and is attracting more and more attention from both academia and pharmaceutical industry. The purpose of present study was to further investigate the anti-inflammatory and antipyretic molecular mechanisms of cinnamaldehyde based on the mouse macrophage cell line RAW264. 7 in vitro. The PGE2 was identified by using the method of enzyme-linked immunosorbent assay (ELISA) and the expression of COX-2 and mPGES-1 at mRNA and protein levels was detected by the Real-time PCR and Western blotting methods respectively. The experimental results suggested that cinnamaldehyde could evidently reverse the increased production of PGE2induced by IL-1beta. Moreover, the up-regulated expression levels of mPGES-1 and COX-2 were significatly decreased. Together, these results provide compelling evidence that the down-regulated actions to both the production of PGE2 as well as the expression of mPGES-I might account for, at least in part, the anti-inflammatory and anti-pyretic effects of cinnamaldehyde.
Acrolein ; analogs & derivatives ; pharmacology ; Animals ; Blotting, Western ; Cell Line ; Dinoprostone ; metabolism ; Interleukin-1beta ; pharmacology ; Intramolecular Oxidoreductases ; metabolism ; Macrophages ; drug effects ; metabolism ; Mice ; Prostaglandin-E Synthases ; Real-Time Polymerase Chain Reaction

OBJECTIVETo investigate the distribution and drug resistance spectrum of clinical bacterial and Candida isolates.

METHODSMost of the bacterial isolates were identified using automated BD Phoenix, and a few with K-B method carried out manually. Candida isolates were identified by color-display plate and K-B method.

RESULTSThe most common isolates in the 2478 strains were P. aeruginosa (15.6%), E. coli (11.5%), C. albicans (9.6%), K. pneumoniae (9.3%), S. aureu (8.2%), and S. epidermidis (7.5%). In gram-negative isolates, the antibiotics with the lowest resistance rate were meraopenem (14.4%), cefoperazone/Sulbactam (14.8%), Imipenem (21.9%), piperacillin/tazobactam (27.4%), ceftazidime (30.0%), amikacin (31.1%), and cefepime (33.1%). The detection rate of E.coli and K. pneumoniae isolates producing extended spectrum beta-lactamase (ESBLs) were 47.4% and 37.3% respectively. In gram-positive isolates, the antibiotics with the lowest resistance rate were vancomycin (0.9%), teicoplanin (1.1%), nitrofurantoin (6.9%), amikacin (20.1%), chloramphenicol (30.7%), and cefoperazone/sulbactam (31.5%). The methecillin-resistant rates of S. aureu , S. epidermidis, and S. haemolyticus were 57.1%, 65.0%, and 66.0%. For Candida isolates, the most sensitive antibiotics were amphotericin B (0.3%), nystain (0.3%), itraconazole (5.6%), fluconazole (9.4%), and fluorocytosine (9.4%).

CONCLUSIONThe results suggest high rate of ESBL production and oxacillin resistance of the bacteria isolated in the hospital. More rational use of antimicrobial agents is crucial for reducing the drug-resistance of the bacteria, and effective measures must be taken to reduce dissemination of multidrug-resistant bacteria.

Anti-Infective Agents ; pharmacology ; Bacteria ; drug effects ; isolation & purification ; Candida ; drug effects ; isolation & purification ; Drug Resistance, Bacterial ; Drug Resistance, Fungal ; Microbial Sensitivity Tests ; Oxacillin ; pharmacology ; beta-Lactamases ; biosynthesis

OBJECTIVETo investigate distribution, drug resistance and risk factors of pathogens isolated from septicemic patients in a hospital in the past 6 years.

METHODSMost of the bacterial isolates were identified with BD Phoenix, and a few isolates were identified manually and with K-B method. Candida isolates were identified with color display plates and K-B method. WHONET5.4 software was used for analysis.

RESULTSThe common bacteria isolated form the blood included E. coli, P. aeruginosa, K. pneumoniae, and S. aureu. The gram-negative bacillus from the blood exhibited relatively low resistance to such antibiotics as cefoperazone/sulbactam, imipenem, amikacin, piperacillin/tazobactam, and ceftazidime, and the incidences of E.coli and K. pneumoniae isolates producing extended spectrum beta-lactamase (ESBLs) ranged between 33.3% and 34.9% and between 32.9% and 36.0%, respectively. The gram-positive coccus from blood showed a sensitivity rate of 100.0% to vancomycin and low resistant rates to amikacin and chloramphenicol; the methicillin-resistant rates of S. aureu and coagulase-negative staphylococcus were 26.9%-35.5% and 72.7%-74.3%, respectively. The risk factors of septicemia included hospital stay for over 5 days, venous catheterization, surgeries, puncture, oxygen therapy, urine tract catheterization, and chemotherapy.

CONCLUSIONBlood culture can be of importance in patients with septicemia, and the use of antibiotics should be carefully weighed according to the results of bacterial culture and sensitivity tests of the pathogens isolated from the blood.

Adolescent ; Adult ; Aged ; Candida albicans ; drug effects ; isolation & purification ; Child ; Child, Preschool ; Drug Resistance, Bacterial ; Escherichia coli ; drug effects ; isolation & purification ; Female ; Gram-Negative Bacteria ; drug effects ; isolation & purification ; Humans ; Infant ; Klebsiella pneumoniae ; drug effects ; isolation & purification ; Male ; Microbial Sensitivity Tests ; Middle Aged ; Pseudomonas aeruginosa ; drug effects ; isolation & purification ; Risk Factors ; Sepsis ; microbiology ; Staphylococcus aureus ; drug effects ; isolation & purification ; Young Adult

Objective To investigate on the prognosis factors of nosoco-mial pneumonia due to Pseudomonas aeruginosa in Southern Hospital. Methods By a retrospective study, the date of 136 cases of nosocomial pneumonia due to Pseudomonas aeruginosa in Southern Hospital were ana-lyzed. Results Multivariate Logistic regression analysis identified three independent factors: high clinical pulmonary infection score (CPIS) (OR = 5.01), Lower CPIS at day 5 (OR = 0. 001) and Pan-drug resistance Pseudomonas aeruginosa(OR =28. 80). Lower CPIS at day 5 is a protective factor. Empiric combination antibiotic therapy can increase the frequency of the lower CPIS at day 5. Conclusion High CPIS, lower CPIS at day 5 and Pan-drug resistance Pseudomonas aeruginosa were independent prognostic factors for nosocomial pneumonia due to Pseudomonas aeruginosa.