[Analysis of the Risk Factors for Hemorrhagic Cystitis after Hematopoietic Stem Cell Transplantation].

OBJECTIVE: To analyze the risk factors affecting hemorrhagic cystitis(HC) after allogeneic hematopoietic stem cell transplantation(allo-HSCT). METHODS: The clinical data of 153 patients underwent allogeneic hematopoietic stem cell transplantation in the First Affiliated Hospital of Xi'an Jiaotong University from January 2010 to December 2018 were selected and retrospectively analyzed. The incidence, median time and treatment outcome of HC should be observed. Multivariate analysis was used to observe the risk factors of HC in patients, including sex, age, diagnosis, disease status before transplantation, transplantation type, ATG and CTX in the pretreatment scheme, stem cell source, neutrophil and platelet implantation time; CMV, EBV and BKV infection, and acute graft-versus-host disease(aGVHD). RESULTS: Among 153 patients underwent allogeneic hematopoietic stem cell transplantation, 25 (16.34%) patients had HC, the median occurance time was 31 days, all patients achieved complete remission after treatment, no bladder irritation and bladder contracture were left. The results of univariate and multivariate Logistic regression analysis showed that the type of transplantation, ATG, CMV viremia before treatment, aGVHD (r=1.036, 3.234, 3.298 and 2.817, respectively) were the independent risk factors of HC. CONCLUSION: The urinary BKV detections in the patients with HC are positive, mainly occured during the period from day +13 to days +56. HLA haplotype, pretreatment including ATG, and CMV viremia, and aGVHD are the independent risk factors for HC after allo-HSCT.

Prevention and Control of Pathogens Based on Big-Data Mining and Visualization Analysis.

Morbidity and mortality caused by infectious diseases rank first among all human illnesses. Many pathogenic mechanisms remain unclear, while misuse of antibiotics has led to the emergence of drug-resistant strains. Infectious diseases spread rapidly and pathogens mutate quickly, posing new threats to human health. However, with the increasing use of high-throughput screening of pathogen genomes, research based on big data mining and visualization analysis has gradually become a hot topic for studies of infectious disease prevention and control. In this paper, the framework was performed on four infectious pathogens (Fusobacterium, Streptococcus, Neisseria, and Streptococcus salivarius) through five functions: 1) genome annotation, 2) phylogeny analysis based on core genome, 3) analysis of structure differences between genomes, 4) prediction of virulence genes/factors with their pathogenic mechanisms, and 5) prediction of resistance genes/factors with their signaling pathways. The experiments were carried out from three angles: phylogeny (macro perspective), structure differences of genomes (micro perspective), and virulence and drug-resistance characteristics (prediction perspective). Therefore, the framework can not only provide evidence to support the rapid identification of new or unknown pathogens and thus plays a role in the prevention and control of infectious diseases, but also help to recommend the most appropriate strains for clinical and scientific research. This paper presented a new genome information visualization analysis process framework based on big data mining technology with the accommodation of the depth and breadth of pathogens in molecular level research.

[Construction and Identification of the cDNA Expression Library for Human Esophageal Cancer Cells].

OBJECTIVES: To construct a cDNA phage expression library for human esophageal cancer cells. METHODS: After the total RNA were obtained from esophageal cancer cells, the mRNA were separated with magnetic beads adsorption method, and the single-strand and double-strand cDNA were synthesized through reverse transcription. With the undesirable cDNA fragments removed, the remaining cDNA (linked withEcoR1 aptamer and phosphorylated its 5'end) combined with the carrier of T7 Select10-3b. The recombinant phage were packaged in vitro for preliminary cDNA library. PCR was used to identify the size of inserted cDNA. RESULTS: The constructed original cDNA phage expression library for human esophageal cancer cells was consisted of 2.01×106 pfu/mL bacteriophages with a recombination rate of 100%. The length of the inserted cDNA fragments were range from 300 bp to 1 500 bp. CONCLUSIONS: The cDNA phage expression library of human esophageal cell is successfully constructed to meet the currently recognized standards, and can be well used to screen cDNA-cloned genes of human esophageal cancer antigens by serological analysis of recombinantly expressed cDNA clone (SEREX).

Embryonic developmental toxicity of selenite in zebrafish (Danio rerio) and prevention with folic acid.

Selenium (Se) is an essential micronutrient, but also a potential toxin, which may be absorbed in excess. Relatively little is known about selenium embryotoxicity in zebrafish. In this study, we evaluated the effect of selenite exposure in zebrafish embryos. Selenite treatment decreased survival and resulted in abnormal development in a dose- and time-dependent manner. We observed irregular growth of neurons in selenite treated embryos, characterized by the absence of neurons in the brain, trunk and tail. Selenite exposure also induced defects in heart function, such as bradycardia and cardiac dysplasia with irregular and smaller chamber shape. In addition, selenite exposure caused ectopic cell proliferation, apoptosis, and a change in the pattern of DNA methylation. Our results suggested that supplementation with folic acid (FA) ameliorated the cardiac and neural defects in selenite-treated embryos. In conclusion, we demonstrated that selenite exposure caused cardiac and neural defects in zebrafish embryos and that folic acid protected against this embryotoxicity. It will give insight into the risk assessment and prevention of Se-mediated embryotoxicity.