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Suppresses Non-small Cell Lung Cancer Cell Proliferation by Regulating SRCIN1 Expression as a ceRNA.

To analyze the demographics and clinical features of 59 cases of Listeria monocytogenes, and determine the predisposing conditions for severe meningitis infections for reference. Materials and methods: A total of 59 cases isolated L. monocytogenes from 2009 to 2020 were enrolled. Electronic medical record data were used to determine the epidemiological and clinical characteristics of L. monocytogenes infection. Univariate and multifactorial logistic regression analyses were performed to predict risk factors for Listeria meningitis. Results: A total of 59 cases (median age of 52 years, 30 females and 29 males) were enrolled. Twenty-five patients (42.37%) developed a neuroinvasive infection. The indexes of interleukin-6 (IL-6), CD3+T, CD4+T, and CD8+T cells in the study group were higher than those in the control group (P<0.05). In univariate analysis, the use of hormone drugs (odds ratio=3.21, P=0.000) and immunosuppressive agents (odds ratio=3.06, P=0.000) were relevant predictors of severe meningitis. 47 patients (79.66%) were treated with ampicillin (27.12%), carbapenems (18.64%), quinolones (11.86%), and β-lactamase inhibitors (11.86%) as the primary agents of antimicrobial therapy. Thirty-four patients (57.63%) showed clinical improvement, five patients (8.47%) had a poor prognosis, and two patients (3.39%) died. Conclusion:Infection with Listeria changed the levels of IL-6, CD3+T, CD4+T, and CD8+T cells, and these analyzing items were significantly different between L. monocytogenes and other bacterial infections. Long-term use of immunosuppressants and hormones may be risk factors for severe adult forms of Listeria-related infections. Sensitive antibiotics, such as penicillins and carbapenems, should be added or replaced in the early empiric treatment of L. monocytogenes.

ObjectiveThe gut micro-biome plays a pivotal role in the progression of lung cancer. However, the specific mechanisms by which the intestinal microbiota and its metabolites are involved in the lung cancer process remain unclear.MethodStool samples from 52 patients with lung cancer and 29 healthy control individuals were collected and subjected to 16S rRNA gene amplification sequencing and non-targeted gas/liquid chromatography-mass spectrometry metabolomics analysis. Then microbiota, metabolites and potential signaling pathways that may play an important role in the disease were filtered.ResultsFirmicutes, Clostridia, Bacteroidacea, Bacteroides, and Lachnospira showed a greater abundance in healthy controls. In contrast, the Ruminococcus gnavus(R.gnavus) was significantly upregulated in lung cancer patients. In this respect, the micro-biome of the squamous cell carcinoma(SCC)group demonstrated a relatively higher abundance of Proteobacteria, Gammaproteobacteria, Bacteroides,and Enterobacteriaceae, as well as higher abundances of Fusicatenibacter and Roseburia in adenocarcinoma(ADC) group. Metabolomic analysis showed significant alterations in fecal metabolites including including quinic acid, 3-hydroxybenzoic acid,1-methylhydantoin,3,4-dihydroxydrocinnamic acid and 3,4-dihydroxybenzeneacetic acid were significantly altered in lung cancer patients. Additionally, the R.gnavus and Fusicatenibacter of lung cancer were associated with multiple metabolite levels.ConclusionOur study provides essential guidance for a fundamental systematic and multilevel assessment of the contribution of gut micro-biome and their metabolites in lung cancer,which has great potential for understanding the pathogenesis of lung cancer and for better early prevention and targeted interventions.

Hydrogels based on poly-(2-hydroxyethyl methacrylate) (pHEMA) have been widely used as biomaterials in tissue engineering due to their biocompatibility, hydrophilicity, and low friction coefficient. The terminal sterilization of hydrogels is a critical step in clinical applications. However, regulations and standardization for the sterilization of hydrogels based on pHEMA are still lacking. In this study, we explored six sterilization methods on pHEMA-based materials (A1: pHEMA, A2: pHEMA copolymerizes with acrylic acid, and A3: pHEMA copolymerizes with acrylic acid and further coordinated with iron ions), such as gamma irradiation, 75% ethanol, ultraviolet (UV), ethylene oxide (EtO), and autoclaving with or without deionized water (autoclaving-H 2 O or autoclaving-dry). Combining results from the multifaceted approaches with assessment, pHEMA-based hydrogels can be completely sterilized via the autoclaving-H 2 O method analyzed by sterilized testing. The physicochemical properties and cell behavior of sterilized hydrogels were not influenced by this sterilization approach, validated by Fourier transform infrared (FT-IR) spectroscopy and tensile tests. The pHEMA-based hydrogel sterilized by the autoclaving-H 2 O method also had no effect on the cell behavior evaluated by in vitro cytotoxicity experiments and caused no evident inflammatory reaction in tissue in vivo implantation experiments. However, it was also found that there were still some defects in the A2 and A3 groups as biomaterials possibly because of an inappropriate proportion of formulations or raw material used in exploring sterilization methods. These findings have implications for the improvement and clinical application of pHEMA-based hydrogels.