Toll-like receptor 10 (TLR10) exhibits suppressive effects on inflammation of prostate epithelial cells / 亚洲男科学杂志(英文版)

Prostate inflammation (PI) is closely related to the development and progression of chronic prostatic diseases: benign prostatic hyperplasia and prostate cancer. Toll-like receptor (TLR) 2 has been reported to be associated with inflammatory diseases, such as infections, autoimmune diseases, and cancers. Meanwhile, TLR10, which can form heterodimers with TLR2, has been considered an orphan receptor without an exact function. The present study therefore aims to examine the effects of TLR2 and TLR10 on PI. Prostate samples and clinical data were obtained from the patients diagnosed with benign prostatic hyperplasia. The inflammatory cell model was established by adding lipopolysaccharide to RWPE-1 cells. Prostate tissues/cells were examined by histological, molecular, and biochemical approaches. Both TLR2 and TLR10 were found to be expressed in prostate tissues and RWPE-1 cells. mRNA/protein expression levels of TLR2 and TLR10 were both positively correlated with prostate tissue inflammatory grades. Lipopolysaccharide-stimulated RWPE-1 cells expressed higher levels of TLR2, TLR10, high mobility group box 1 (HMGB1), phospho-nuclear factor kappa-light-chain-enhancer of activated B-cells P65 (phospho-NF-κB P65), interleukin (IL)-6, and IL-8 than control cells. Moreover, HMGB1, phospho-NF-κB P65, IL-6, and IL-8 were downregulated after TLR2 knockdown and upregulated after TLR10 knockdown in RWPE-1 cells. TLR2 stimulation can activate the inflammatory signaling cascade in prostate epithelial cells. Conversely, TLR10 exhibited suppressive effects on inflammation. With antagonistic functions, both TLR2 and TLR10 were involved in PI. TLR10 could be a novel target in modulating inflammatory signal transduction of prostate epithelial cells.

Eosinophil could predict the prognosis of patients with bloodstream infection: a retrospective analysis of 305 cases / 中华危重病急救医学

Objective To investigate the value of peripheral blood for the prognosis of patients withbloodstream infection. Methods A retrospective analysis of patients with bloodstream infection was conducted inthe intensive care unit (ICU) of Mianyang Central Hospital of Sichuan from January 2012 to October 2016. Accordingto the 28-day survival, the patients were divided into survival group and death group. The white blood cell (WBC),neutrophils count (NEU), lymphocyte count (LYM), neutrophil/lymphocyte ratio (NLR), monocyte count (MO), eosinophilcount (EO), basophil count (BA), hemoglobin (Hb), platelet count (PLT) and procalcitonin (PCT) in peripheral bloodwere recorded when patients were diagnosed with blood infection. Receiver operating characteristic curve (ROC),Kaplan-Meier survival analysis and Cox regression were used to evaluate the value of these risk factors for predictingthe outcome. Results 305 patients were enrolled. 182 patients survived while 123 patients died during the 28-dayperiod. ① There was no significant difference in gender, age and comorbidities between the two groups. There was nosignificant difference in infection rate between the two groups except for fungal infection rate. The fungal infection ratein the death group was significantly higher than that in the survival group (9.8% vs. 3.3%, P = 0.019). ② The LYM,MO, EO and PLT in the death group were significantly lower than those in the survival group [LYM (×109/L):0.58 (0.29, 0.93) vs. 0.76 (0.44, 1.23), MO (×109/L): 0.47 (0.19, 0.80) vs. 0.58 (0.30, 0.94), EO (×109/L):0.00 (0.00, 0.01) vs. 0.03 (0.01, 0.09), PLT (×1012/L): 89 (47, 148) vs. 126 (82, 186), all P 0.015×109/L [38.3% (62/162) vs. 83.9% (120/143), χ 2 = 56.999, P = 0.000]. ⑤ It was shown by Cox regression that EO was the independent factor for 28-day survival (β = 1.466, χ 2 = 39.535, P = 0.000). Risk of death was 4.331 times greater in patients with EO 0.015×109/L [hazard ratio (HR) = 4.331, 95% confidence interval (95%CI) = 2.743-6.840]. Conclusions Compared to other parameters in peripheral blood, EO has the best correlation with the prognosis of bloodstream infection. EO is the independent prognostic predictor for 28-day survival.