探讨屎肠球菌的VanA调控人正常结直肠 黏膜细胞FHC凋亡的机制

摘要：目的 探讨屎肠球菌的万古霉素替考拉宁A型抗性蛋白/D-丙氨酸-D-丙氨酸连接酶（Vancomycin Teicoplanin A-type resistance protein D-alanine-D-alanine ligase,vanA）调控人正常结直肠黏膜细胞FHC凋亡的机制。方法 在人正常结直肠黏膜细胞FHC中使用屎肠球菌感染,Annxin-V染色检测细胞凋亡情况。使用屎肠球菌的VanA蛋白刺激,检测FHC细胞凋亡情况、ROS水平以及ROS标志蛋白MDA、GSH和SOD的表达水平。ROS抑制Acetylcysteine处理VanA刺激的FHC细胞后,检测细胞凋亡相关蛋白的表达水平。结果 屎肠球菌与人正常结直肠黏膜细胞FHC共培养后,人正常结直肠黏膜细胞FHC的凋亡水平明显升高（t=2.876,P=0.045 2）,并且VanA蛋白能促进FHC凋亡水平（t=5.579,P=0.005 1）,同时细胞凋亡相关蛋白CLEAVED-CAS9、BAK的表达量上升,BCL-2的表达量下降。屎肠球菌的VanA蛋白刺激后,发现正常结直肠黏膜细胞FHC的ROS水平上升（t=10.190,P=0.000 5）,ROS标志蛋白MDA（t=4.315,P=0.012 5）和SOD（t=5.751,P=0.004 5）的表达水平上升,GSH（t=5.225,P=0.006 4）的表达水平下降,但是,ROS抑制剂Acetylcysteine能够抑制这种现象。结论 屎肠球菌的VanA通过提高细胞内ROS水平来促进人正常结直肠黏膜细胞FHC凋亡。     

生理盐水实验性干预对肉鸡盲肠微生物区系和短链脂肪酸含量的影响

目的研究生理盐水实验性干预对肉鸡盲肠微生物区系和短链脂肪酸含量的影响,以期为早期菌群干预实验的研究提供一定的理论依据。方法选取80只初出壳的小鸡,随机分为2组,分别为对照组(C组)和生理盐水组(S组)。出壳后前2 d,连续每天给S组小鸡灌服0.5 mL灭菌的生理盐水,C组不做处理。第3天,第7天于两组分别随机挑选8只鸡,测定其体重后屠宰取其盲肠内容物,采用Illumina Miseq高通量测序技术对盲肠内容物菌群结构进行测定,并用气相色谱法测定盲肠内容物中短链脂肪酸的含量。结果生理盐水实验性干预对肉鸡早期阶段的平均日增重无显著影响(P>0.05)。在门的水平上,两组肉鸡盲肠菌群占比基本相似,厚壁菌门(Firmicutes)、变形菌门(Proteobacteria)和拟杆菌门(Bacteroidetes)为早期肉鸡肠道内的优势菌门。在属的水平,3日龄时S组肉鸡盲肠中拟杆菌属(Bacteroides)和蓝细菌属(Cyanobacteria_norank)的相对丰度较C组分别提高了160%和143%(P<0.05);7日龄时,两组间盲肠菌属的相对丰度无显著差异。此外,生理盐水实验性干预可极显著降低3日龄肉鸡盲肠内容物中乙酸、丁酸和异戊酸的含量(P<0.01),但7日龄时两组肉鸡盲肠内容物中短链脂肪酸的含量无显著差异(P>0.05)。结论生理盐水实验性干预会对3日龄肉鸡盲肠菌群结构及短链脂肪酸含量产生一定的影响,但这种影响不具有持续性,随着日龄的增加会逐渐消失。     

Con A affinity glycoproteomics of normal human liver tissue

In order to establish the novel high throughput, high efficiency and Iow cost technological platform for the research of N-glycoproteomics, to resolve the significance of characteristic expression profile of glycoprotein and to find the proteins with biological functional importance, the glycoproteins with high-mannose core and the two antennary types were purified and enriched by the Con A affinity chromatography. Con A affinity protein expression profiles of normal human liver tissue were generated by using SDS-PAGE, two-dimensional electrophoresis (2-DE) followed by fast fluorescence staining based on multiplexed proteomics (MP) technology. 301 visible protein spots on the gel were detected and 85 of glycoproteins were further successfully identified via peptide mass fingerprinting (PMF) by a matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS/MS) and annotated to IPI databases. Identified glycoproteins definitely take part in the regulation of cell cycle and metabolic processes. The glycosylation sites were predicted with NetNGlyc 1.0 and NetOGlyc 3.1 software, meanwhile they were classified according to the geneontology methods. The construction of Con A affinity glycoprotein database of normal human liver tissue would contribute to the subsequent research.     

Separation of ephedrine and pseudoephedrine enantiomers using a polysaccharide‐based chiral column: A normal phase liquid chromatography–high‐resolution mass spectrometry approach

Chiral considerations are found to be very much relevant in various aspects of forensic toxicology and pharmacology. In forensics, it has become increasingly important to identify the chirality of doping agents to avoid legal arguments and challenges to the analytical findings. The scope of this study was to develop an liquid chromatography–mass spectrometry (LCMS) method for the enantiomeric separation of typical illicit drugs such as ephedrines (ie, 1S,2R(+)‐ephedrine and 1R,2S(?)‐ephedrine) and pseudoephedrine (ie, R,R(?)‐pseudoephedrine and S,S(+)‐pseudoephedrine) by using normal phase chiral liquid chromatography–high‐resolution mass spectrometry technique. Results show that the Lux i‐amylose‐1 stationary phase has very broad and balancing‐enantio‐recognition properties towards ephedrine analogues, and this immobilized chiral stationary phase may offer a powerful tool for enantio‐separation of different types of pharmaceuticals in the normal phase mode. The type of mobile phase and organic modifier used appear to have dramatic influences on separation quality. Since the developed method was able to detect and separate the enantiomers at very low levels (in pico grams), this method opens easy access for the unambiguous identification of these illicit drugs and can be used for the routine screening of the biological samples in the antidoping laboratories.     

Niacin deficiency modulates genes involved in cancer: Are smokers at higher risk?

The role of niacin’s metabolite, nicotinamide adenine dinucleotide (NAD), in DNA repair via base-excision repair pathway is well documented. We evaluated if niacin deficiency results in genetic instability in normal human fetal lung fibroblasts (MRC-5), and further, does it leads to enhanced accumulation of cigarette smoke–induced genetic damage? MRC-5 cells were grown discretely in niacin-proficient/deficient media, and exposed to nicotine-derived nitrosamine ketone (NNK, a cigarette smoke carcinogen). Niacin deficiency abated the NAD polymerization, augmented the spontaneous induction of micronuclei (MN) and chromosomal aberrations (CA) and raised the expression of 10 genes and suppressed 12 genes involved in different biological functions. NNK exposure resulted in genetic damage as measured by the induction of MN and CA in cells grown in niacin-proficient medium, but the damage became practically marked when niacin-deficient cells were exposed to NNK. NNK exposure raised the expression of 16 genes and suppressed the expression of 56 genes in cells grown in niacin-proficient medium. NNK exposure to niacin-deficient cells raised the expression of eight genes including genes crucial in promoting cancer such as FGFR3 and DUSP1 and suppressed the expression of 33 genes, including genes crucial in preventing the onset and progression of cancer like RASSF2, JUP, and IL24, in comparison with the cells grown in niacin-proficient medium. Overall, niacin deficiency interferes with the DNA damage repair process induced by chemical carcinogens like NNK, and niacin-deficient population are at the higher risk of genetic instability caused by cigarette smoke carcinogen NNK.     

Selenium as an adjuvant for modification of radiation response

Ionizing radiation plays a central role in several medical and industrial purposes. In spite of the beneficial effects of ionizing radiation, there are some concerns related to accidental exposure that could pose a threat to the lives of exposed people. This issue is also very critical for triage of injured people in a possible terror event or nuclear disaster. The most common side effects of ionizing radiation are experienced in cancer patients who had undergone radiotherapy. For complete eradication of tumors, there is a need for high doses of ionizing radiation. However, these high doses lead to severe toxicities in adjacent organs. Management of normal tissue toxicity may be achieved via modulation of radiation responses in both normal and malignant cells. It has been suggested that treatment of patients with some adjuvant agents may be useful for amelioration of radiation toxicity or sensitization of tumor cells. However, there are always some concerns for possible severe toxicities and protection of tumor cells, which in turn affect radiotherapy outcomes. Selenium is a trace element in the body that has shown potent antioxidant and radioprotective effects for many years. Selenium can potently stimulate antioxidant defense of cells, especially via upregulation of glutathione (GSH) level and glutathione peroxidase activity. Some studies in recent years have shown that selenium is able to mitigate radiation toxicity when administered after exposure. These studies suggest that selenium may be a useful radiomitigator for an accidental radiation event. Molecular and cellular studies have revealed that selenium protects different normal cells against radiation, while it may sensitize tumor cells. These differential effects of selenium have also been revealed in some clinical studies. In the present study, we aimed to review the radiomitigative and radioprotective effects of selenium on normal cells/tissues, as well as its radiosensitive effect on cancer cells.     

Glucose-based optimization of CHO-cell perfusion cultures

Perfusion cultures of CHO cells producing t-PA were performed using acoustic filter cell retention. A robust off-line glucose analysis and predictive control protocol was developed to maintain the process within approximately 0.5 mM of the glucose set point, without the need for a more fallible on-line sensor. Glucose usage (the difference between the inlet and reactor glucose concentrations) provided an easily measured indicator of overall medium utilization for mapping acceptable ranges of operation, including the edge of failure. Earlier onset of perfusion with a ramping glucose set point (1.5 mM/d) resulted in improved growth and consistency during the perfusion culture start-up. At steady state, the t-PA concentration variability increased gradually with increasing glucose usage up to approximately 22 mM, then up to 24 mM the variability increased threefold. Peak t-PA concentrations of over 90 mg/L were obtained by controlling at a glucose usage of approximately 24 mM, but these t-PA levels were not sustainable for more than 3 days. A consistent t-PA concentration of 40 mg/L was obtained at a glucose usage of 21.5 mM.     

Multiple imputation for multivariate data with missing and below-threshold measurements: time-series concentrations of pollutants in the Arctic

Many chemical and environmental data sets are complicated by the existence of fully missing values or censored values known to lie below detection thresholds. For example, week-long samples of airborne particulate matter were obtained at Alert, NWT, Canada, between 1980 and 1991, where some of the concentrations of 24 particulate constituents were coarsened in the sense of being either fully missing or below detection limits. To facilitate scientific analysis, it is appealing to create complete data by filling in missing values so that standard complete-data methods can be applied. We briefly review commonly used strategies for handling missing values and focus on the multiple-imputation approach, which generally leads to valid inferences when faced with missing data. Three statistical models are developed for multiply imputing the missing values of airborne particulate matter. We expect that these models are useful for creating multiple imputations in a variety of incomplete multivariate time series data sets.     

A mixture model for occupational exposure mean testing with a limit of detection

Information from detectable exposure measurements randomly sampled from a left-truncated log-normal distribution may be used to evaluate the distribution of nondetectable values that fall below an analytic limit of detection. If the proportion of nondetects is larger than expected under log normality, alternative models to account for these unobserved data should be considered. We discuss one such model that incorporates a mixture of true zero exposures and a log-normal distribution with possible left censoring, previously considered in a different context by Moulton and Halsey (1995, Biometrics 51, 1570-1578). A particular relationship is demonstrated between maximum likelihood parameter estimates based on this mixture model and those assuming either left-truncated or left-censored data. These results emphasize the need for caution when choosing a model to fit data involving nondetectable values. A one-sided likelihood ratio test for comparing mean exposure under the mixture model to an occupational exposure limit is then developed and evaluated via simulations. An example demonstrates the potential impact of specifying an incorrect model for the nondetectable values.