Increased Risk of Cutaneous Melanoma Associated with p53 Arg72Pro Polymorphism

Objective

The objective of this study was to test the hypothesis that p53 Arg72Pro polymorphism may contribute to an increased risk of cutaneous melanoma (CM).

Methods

By searching the databases of PubMed, EMBASE, and Web of Science, a total of 8 eligible case-control studies with 1,957 CM cases and 2,887 controls were included in this meta-analysis. Stata software was used to analyze all the statistical data.

Results

The pooled data by a fixed-effects model suggested an increased risk of CM associated with p53 Arg72Pro polymorphism under the genetic model of Arg/Pro vs. Pro/Pro without heterogeneity (OR_{Arg/Pro vs. Pro/Pro} = 1.76, 95% CI = 1.55-1.99, P _{heterogeneity} = 0.075). A similar trend was seen in subgroups of hospital-based studies and population-based studies.

Conclusion

Our meta-analysis based on all studies shows that the p53 Arg72Pro polymorphism may increase individual susceptibility to CM, particularly in Caucasians and could serve as a biomarker to predict the population at high risk of CM.     

Tigecycline Susceptibility and the Role of Efflux Pumps in Tigecycline Resistance in KPC-Producing Klebsiella pneumoniae

KPC-producing Klebsiella pneumoniae isolates have emerged as important pathogens of nosocomial infections, and tigecycline is one of the antibiotics recommended for severe infections caused by KPC-producing K. pneumoniae. To identify the susceptibility profile of KPC-producing K. pneumoniae to tigecycline and investigate the role of efflux pumps in tigecycline resistance, a total of 215 KPC-producing K. pneumoniae isolates were collected. The minimum inhibitory concentration (MIC) of tigecycline was determined by standard broth microdilution tests. Isolates showing resistance to tigecycline underwent susceptibility test with efflux pump inhibitors. Expression levels of efflux pump genes (acrB and oqxB) and their regulators (ramA, marA, soxS and rarA) were examined by real-time PCR, and the correlation between tigecycline MICs and gene expression levels were analysed. Our results show that the tigecycline resistance rate in these isolates was 11.2%. Exposure of the tigecycline-resistant isolates to the efflux pump inhibitor NMP resulted in an obvious decrease in MICs and restored susceptibility to tigecycline in 91.7% of the isolates. A statistically significant association between acrB expression and tigecycline MICs was observed, and overexpression of ramA was found in three tigecycline-resistant isolates, further analysis confirmed ramR mutations existed in these isolates. Transformation of one mutant with wild-type ramR restored susceptibility to tigecycline and repressed overexpression of ramA and acrB. These data indicate that efflux pump AcrAB, which can be up-regulated by ramR mutations and subsequent ramA activation, contributed to tigecycline resistance in K. pneumoniae clinical isolates.     

Genetic Fusions of a CFA/I/II/IV MEFA (Multiepitope Fusion Antigen) and a Toxoid Fusion of Heat-Stable Toxin (STa) and Heat-Labile Toxin (LT) of Enterotoxigenic Escherichia coli (ETEC) Retain Broad Anti-CFA and Antitoxin Antigenicity

Immunological heterogeneity has long been the major challenge in developing broadly effective vaccines to protect humans and animals against bacterial and viral infections. Enterotoxigenic Escherichia coli (ETEC) strains, the leading bacterial cause of diarrhea in humans, express at least 23 immunologically different colonization factor antigens (CFAs) and two distinct enterotoxins [heat-labile toxin (LT) and heat-stable toxin type Ib (STa or hSTa)]. ETEC strains expressing any one or two CFAs and either toxin cause diarrhea, therefore vaccines inducing broad immunity against a majority of CFAs, if not all, and both toxins are expected to be effective against ETEC. In this study, we applied the multiepitope fusion antigen (MEFA) strategy to construct ETEC antigens and examined antigens for broad anti-CFA and antitoxin immunogenicity. CFA MEFA CFA/I/II/IV [CVI 2014, 21(2):243-9], which carried epitopes of seven CFAs [CFA/I, CFA/II (CS1, CS2, CS3), CFA/IV (CS4, CS5, CS6)] expressed by the most prevalent and virulent ETEC strains, was genetically fused to LT-STa toxoid fusion monomer 3xSTa_A14Q-dmLT or 3xSTa_N12S-dmLT [IAI 2014, 82(5):1823-32] for CFA/I/II/IV-STa_A14Q-dmLT and CFA/I/II/IV-STa_N12S-dmLT MEFAs. Mice intraperitoneally immunized with either CFA/I/II/IV-STa_-toxoid-dmLT MEFA developed antibodies specific to seven CFAs and both toxins, at levels equivalent or comparable to those induced from co-administration of the CFA/I/II/IV MEFA and toxoid fusion 3xSTa_N12S-dmLT. Moreover, induced antibodies showed in vitro adherence inhibition activities against ETEC or E. coli strains expressing these seven CFAs and neutralization activities against both toxins. These results indicated CFA/I/II/IV-STa_-toxoid-dmLT MEFA or CFA/I/II/IV MEFA combined with 3xSTa_N12S-dmLT induced broadly protective anti-CFA and antitoxin immunity, and suggested their potential application in broadly effective ETEC vaccine development. This MEFA strategy may be generally used in multivalent vaccine development.     

Modeling the Geographic Spread of Rabies in China

In order to investigate how the movement of dogs affects the geographically inter-provincial spread of rabies in Mainland China, we propose a multi-patch model to describe the transmission dynamics of rabies between dogs and humans, in which each province is regarded as a patch. In each patch the submodel consists of susceptible, exposed, infectious, and vaccinated subpopulations of both dogs and humans and describes the spread of rabies among dogs and from infectious dogs to humans. The existence of the disease-free equilibrium is discussed, the basic reproduction number is calculated, and the effect of moving rates of dogs between patches on the basic reproduction number is studied. To investigate the rabies virus clades lineages, the two-patch submodel is used to simulate the human rabies data from Guizhou and Guangxi, Hebei and Fujian, and Sichuan and Shaanxi, respectively. It is found that the basic reproduction number of the two-patch model could be larger than one even if the isolated basic reproduction number of each patch is less than one. This indicates that the immigration of dogs may make the disease endemic even if the disease dies out in each isolated patch when there is no immigration. In order to reduce and prevent geographical spread of rabies in China, our results suggest that the management of dog markets and trades needs to be regulated, and transportation of dogs has to be better monitored and under constant surveillance.     

树鼩脐带间充质干细胞与抗小鼠、人CD抗体的交叉反应性

目的观察树鼩的细胞是否与抗鼠或抗人的CD抗体反应。方法采树鼩外周血与小鼠的CD3、CD4、CD8抗体反应。再分离培养树鼩的脐带间充质干细胞,分别与抗小鼠的CD29-FITC、Sca-1-PE、CD90-PE反应,与抗人的CD44-FITC、CD29-FITC、CD13-FITC、CD34-FITC反应。结果树鼩外周血与小鼠的CD3、CD4、CD8抗体不发生反应,但树鼩的脐带间充质干细胞与抗小鼠的CD29-FITC抗体发生反应,阳性率为99.8﹪。树鼩的脐带间充质干细胞与抗人的CD44-FITC抗体发生反应,阳性率为99.7﹪。结论树鼩的外周血与小鼠的CD抗体不反应,但树鼩的脐带间充质干细胞与小鼠的CD29-FITC抗体和人的CD44-FITC抗体反应效果较好。     

miR-27a is up regulated and promotes inflammatory response in sepsis

MicroRNAs (miRNAs) are short, non-coding RNAs that regulate the expression of multiple target genes. Dysregulation of miRNAs is common in sepsis. Through microRNA microarray and qRT-PCR we found that the levels of miR-27a, miR-153 and miR-143 are up regulated, while let-7a, miR-218 and miR-129-5p are down regulated in lungs of septic mice. Knocking down of miR-27a down regulates expression levels of TNF-α and IL-6 significantly via reducing the phosphorylation level of NF-κB p65 and inhibiting its DNA binding activity. Furthermore, neutralisation of miR-27a up regulates PPARγ level, down regulates TNF-α expression, relieves pulmonary inflammation and promotes survival of septic mice, which demonstrates that miR-27a plays an important role in regulating inflammatory response in sepsis and provides a potential target for clinical sepsis research and treatment.     

Toll-like receptor 9 agonists up-regulates the expression of cyclooxygenase-2 via activation of NF-κB in prostate cancer cells

CpG-oligonucleotides (CpG-ODNs), mimicking bacterial DNA, have recently been shown to stimulate prostate cancer invasion in vitro via Toll-like receptor 9 (TLR9). Since cyclooxygenase 2 (COX-2), frequently overexpressed in multiple tumor types including prostate cancer, is a causal factor for tumor development, invasion and metastasis, an interesting question is raised whether TLR9 regulates COX-2 expression in prostate cancer cells. To address this question, herein we examined COX-2 expression in PC-3 cells stimulated with different doses and time courses of CpG-ODNs. The regulatory role of NF-κB in TLR9-mediated COX-2 expression was also investigated. CpG-ODN was found to up-regulate the expression of COX-2 in PC-3 cells in a dose- and time-dependent manner, but have little impact on COX-1 expression. Moreover, CpG-ODN also promoted nuclear translocation and activation of NF-κB, which appeared to be required for COX-2 induction by CpG-ODN. Overall, TLR9 up-regulates COX-2 expression in prostate cancer cells, at least partially through the activation of NF-κB, which may be implicated in tumor invasion and metastasis.     

Segmentation of center brains and optic lobes in 3D confocal images of adult fruit fly brains

Automatic alignment (registration) of 3D images of adult fruit fly brains is often influenced by the significant displacement of the relative locations of the two optic lobes (OLs) and the center brain (CB). In one of our ongoing efforts to produce a better image alignment pipeline of adult fruit fly brains, we consider separating CB and OLs and align them independently. This paper reports our automatic method to segregate CB and OLs, in particular under conditions where the signal to noise ratio (SNR) is low, the variation of the image intensity is big, and the relative displacement of OLs and CB is substantial.We design an algorithm to find a minimum-cost 3D surface in a 3D image stack to best separate an OL (of one side, either left or right) from CB. This surface is defined as an aggregation of the respective minimum-cost curves detected in each individual 2D image slice. Each curve is defined by a list of control points that best segregate OL and CB. To obtain the locations of these control points, we derive an energy function that includes an image energy term defined by local pixel intensities and two internal energy terms that constrain the curve’s smoothness and length. Gradient descent method is used to optimize this energy function. To improve both the speed and robustness of the method, for each stack, the locations of optimized control points in a slice are taken as the initialization prior for the next slice. We have tested this approach on simulated and real 3D fly brain image stacks and demonstrated that this method can reasonably segregate OLs from CBs despite the aforementioned difficulties.