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1.
Kaohsiung J Med Sci ; 39(7): 665-674, 2023 Jul.
Article in English | MEDLINE | ID: mdl-37052185

ABSTRACT

Acute lung injury (ALI) is an adverse disease of the respiratory system, and one of its prevalent causes is sepsis induction. Cell pyroptosis facilitates the progression of ALI and lncRNAs play critical roles in ALI. Thus, this research seeks to investigate the specific mechanism of NEAT1 in sepsis-ALI.BEAS-2B cells were exposed to lipopolysaccharide (LPS) to construct a cell model of sepsis-induced ALI. The gene and protein expression were assessed using qRT-PCR and western blot. Cell viability was identified by CCK-8. Cell death was discovered using PI staining. The secretion of IL-1ß and IL-18 was examined using ELISA. The interconnections among NEAT1, miR-26a-5p, and ROCK1 were confirmed using starbase, luciferase assay, and RIP.LPS treatment augmented NEAT1 and ROCK1 levels while mitigating miR-26a-5p level in BEAS-2B cells. Additionally, LPS treatment facilitated cell death and cell pyroptosis, whereas NEAT1 silencing could reverse these effects in BEAS-2B cells. Mechanistically, NEAT1 positively mediated ROCK1 expression by targeting miR-26a-5p. Furthermore, miR-26a-5p inhibitor offset NEAT1 depletion-mediated suppressive effects on cell death and cell pyroptosis. ROCK1 upregulation decreased the inhibitory impacts produced by miR-26a-5p overexpression on cell death and cell pyroptosis. Our outcomes demonstrated NEAT1 could reinforce LPS-induced cell death and cell pyroptosis by repressing the miR-26a-5p/ROCK1 axis, thereby worsening ALI caused by sepsis. Our data indicated NEAT1, miR-26a-5p, and ROCK1 might be biomarkers and target genes for relieving sepsis-induced ALI.


Subject(s)
Acute Lung Injury , MicroRNAs , RNA, Long Noncoding , Sepsis , Humans , MicroRNAs/metabolism , Lipopolysaccharides/toxicity , RNA, Long Noncoding/physiology , Pyroptosis/genetics , Sepsis/genetics , Sepsis/complications , Apoptosis , rho-Associated Kinases/genetics , rho-Associated Kinases/metabolism
2.
Huan Jing Ke Xue ; 30(9): 2532-7, 2009 Sep 15.
Article in Chinese | MEDLINE | ID: mdl-19927799

ABSTRACT

The methods to assess water pollution risk for medium water transfer are gradually being explored. The event-nature-proportion method was developed to evaluate the probability of the single event. Fault tree analysis on the basis of calculation on single event was employed to evaluate the extent of whole water pollution risk for the channel water body. The result indicates, that the risk of pollutants from towns and villages along the line of water transfer project to the channel water body is at high level with the probability of 0.373, which will increase pollution to the channel water body at the rate of 64.53 mg/L COD, 4.57 mg/L NH4(+) -N and 0.066 mg/L volatilization hydroxybenzene, respectively. The measurement of fault probability on the basis of proportion method is proved to be useful in assessing water pollution risk under much uncertainty.


Subject(s)
Decision Trees , Water Pollutants, Chemical/analysis , Water Purification/standards , Water Supply/standards , Humans , Models, Theoretical , Risk Assessment , Water Microbiology/standards
3.
Sheng Wu Gong Cheng Xue Bao ; 19(6): 720-4, 2003 Nov.
Article in Chinese | MEDLINE | ID: mdl-15971586

ABSTRACT

The yeast fusant ZFF-28, which is high in biomass production and rich in selenium, was constructed after mutagenesis and protoplasts fusion between yeast strains. The total selenium content of ZFF-28 is 1.8 and 1.0 times higher than that of the parental strains Saccharomyces cerevisiae ZY-67 and Saccharomyces kluyveri SZY-198 respectively. Using single factor tests and a L16(4(3) x 2(1)) orthogonal design, the cultivation conditions was optimized as: 50mL culture in 250mL shake flasks in molasses containing 6% sugar and 60microg/mL Se at 28 degree C for 25h at 220 r/min, with the initial pH adjusted to 6.0 - 6.5. Under the optimized conditions, the biomass (dry weight) reached 8.2g/L and the Se content of the cells reached 2050microg/g, with organic and inorganic Se contents being 91% and 9% respectively.


Subject(s)
Biomass , Saccharomyces/growth & development , Saccharomyces/metabolism , Selenium/metabolism , Hydrogen-Ion Concentration , Saccharomyces/genetics , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae/metabolism , Selenium Compounds/metabolism
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