Objective:To screen the issues of management for radiation therapy equipment in an academic hospital with Delphi method.Methods: 6 specialists with different background were consulted with the questionnaire, and those questions were screened from questionnaire as being scored with the importance and analyzed by SPSS software.Results: 6 specialists included 2 radiation managers, 3 radiation professionals and 1 health administrative personnel. The authority coefficient was 0.88±0.06, and the activity coefficient was 100%. The Kendall concordance coefficient wereW=0.019(P=0.635) andW=0.237(P=0.001) in the 1st and 2nd round respectively. The coordination of the expert’s opinions was good and the results of the questionnaire were credible. There were 18 questions got from the questionnaire based on the averages and standard deviations.Conclusion: It was effectiveness that Delphi method can screen the issues of management for radiation equipment, on which we can get the direction of performance improvement based.

The aim of this study is to develop the real-time PCR assays to detect and qualify C. coli from stool specimen. The primers and probe were designed based on the specific sequence of ceuE gene in C. coli using Primer 5.0 and Vector NTI Suite 6.0 e. The PCR assay was optimized with the reference C. coli strains. The standard curve based on the dilutions of genomic DNA showed a linear relationship between log CFU/mL and threshold cycles. The detectable limitation was 5.62 CFU/mL by using purified DNA from bacteria culture. The reproducibility of this assay was assessed by calculating the variation of the threshold cycle value and the slope from test repeats for the same strains and different strains. Our results indicate that the developed assay has high sensitivity and specificity for identification of C. coli.

The transition metal cobalt, an essential cofactor for many enzymes in prokaryotes, is taken up by several specific transport systems. The CbiMNQO protein complex belongs to type-1 energy-coupling factor (ECF) transporters and is a widespread group of microbial cobalt transporters. CbiO is the ATPase subunit (A-component) of the cobalt transporting system in the gram-negative thermophilic bacterium Thermoanaerobacter tengcongensis. Here we report the crystal structure of a nucleotide-free CbiO at a resolution of 2.3 Å. CbiO contains an N-terminal canonical nucleotide-binding domain (NBD) and C-terminal helical domain. Structural and biochemical data show that CbiO forms a homodimer mediated by the NBD and the C-terminal domain. Interactions mainly via conserved hydrophobic amino acids between the two C-terminal domains result in formation of a four-helix bundle. Structural comparison with other ECF transporters suggests that non-conserved residues outside the T-component binding groove in the A component likely act as a specificity determinant for T components. Together, our data provide information on understanding of the structural organization and interaction of the CbiMNQO system.
Adenosine Triphosphatases ; chemistry ; Amino Acids ; chemistry ; Biological Transport ; Catalytic Domain ; Cobalt ; chemistry ; Crystallography, X-Ray ; Protein Binding ; Protein Conformation ; Protein Structure, Secondary ; Structure-Activity Relationship ; Thermoanaerobacter ; enzymology

OBJECTIVE: To identify the key biochemical indicators that affect the clinical type and outcomes of COVID-19 patients and explore the application of neutrophil/lymphocyte ratio (NLR) in COVID-19. METHODS: Ninety-three patients with confirmed diagnosis of COVID-19 admitted in Ezhou Central Hospital from February to April in 2020 were analyzed. Among them, 43 patients were selected from Intensive Care Unit (ICU) with the diagnosis of critical type of COVID-19, and 50 cases of common type were selected from the Department of Respiratory Medicine. The baseline data, blood routine test and biochemical indexes of the patients were collected on the first day of admission. NLRs of the patients were calculated, and COX survival analysis according to the NLR 4-category method was performed. The patients' outcomes were analyzed with receiver operating curves (ROCs). The patients were divided into two groups according to NLR cutoff value for comparison of the biochemical indexes. Based on the patients' outcomes, NLR cutoff value classification and clinical classification, multiple binary logistics regression was performed to screen the key variables and explore their significance in COVID-19. RESULTS: The NLR four-category method was not applicable for prognostic evaluation of the patients. The cut-off value of NLR for predict the prognosis of COVID-19 was 11.26, with a sensitivity of 0.903 and a specificity of 0.839; the laboratory indicators of the patients with NLR < 11.26 were similar to those in patients of the common type; the indicators were also similar between patients with NLR≥11.26 and those with critical type COVID-19. NLR, WBC, NEUT, PCT, DD, BUN, TNI, BNP, and LDH had significant effects on the clinical classification and outcome of the patients ( < 0.05); Cr, Ca, PH, and Lac had greater impact on the outcome of the patients ( < 0.05), while Na, PCO had greater impact on the clinical classification of the patients ( < 0.05). CONCLUSIONS NLR can be used as an important reference for clinical classification, prognostic assessment, and biochemical abnormalities of COVID-19. Patients of critical type more frequently have bacterial infection with more serious inflammatory reactions, severer heart, lung and kidney damages, and much higher levels of DD and LDH than those of the common type. NLR, NEUT, DD, TNI, BNP, LDH, Ca, PCT, PH, and Lac have obvious influence on the prognosis of COVID-19 and should be observed dynamically.
Betacoronavirus ; Coronavirus Infections ; Humans ; Lymphocytes ; Neutrophils ; Pandemics ; Pneumonia, Viral ; Prognosis ; ROC Curve ; Retrospective Studies

OBJECTIVE: To identify the key biochemical indicators that affect the clinical type and outcomes of COVID-19 patients and explore the application of neutrophil/lymphocyte ratio (NLR) in COVID-19. METHODS: Ninety-three patients with confirmed diagnosis of COVID-19 admitted in Ezhou Central Hospital from February to April in 2020 were analyzed. Among them, 43 patients were selected from Intensive Care Unit (ICU) with the diagnosis of critical type of COVID-19, and 50 cases of common type were selected from the Department of Respiratory Medicine. The baseline data, blood routine test and biochemical indexes of the patients were collected on the first day of admission. NLRs of the patients were calculated, and COX survival analysis according to the NLR 4-category method was performed. The patients' outcomes were analyzed with receiver operating curves (ROCs). The patients were divided into two groups according to NLR cutoff value for comparison of the biochemical indexes. Based on the patients' outcomes, NLR cutoff value classification and clinical classification, multiple binary logistics regression was performed to screen the key variables and explore their significance in COVID-19. RESULTS: The NLR four-category method was not applicable for prognostic evaluation of the patients. The cut-off value of NLR for predict the prognosis of COVID-19 was 11.26, with a sensitivity of 0.903 and a specificity of 0.839; the laboratory indicators of the patients with NLR < 11.26 were similar to those in patients of the common type; the indicators were also similar between patients with NLR≥11.26 and those with critical type COVID-19. NLR, WBC, NEUT, PCT, DD, BUN, TNI, BNP, and LDH had significant effects on the clinical classification and outcome of the patients ( < 0.05); Cr, Ca, PH, and Lac had greater impact on the outcome of the patients ( < 0.05), while Na, PCO had greater impact on the clinical classification of the patients ( < 0.05). CONCLUSIONS NLR can be used as an important reference for clinical classification, prognostic assessment, and biochemical abnormalities of COVID-19. Patients of critical type more frequently have bacterial infection with more serious inflammatory reactions, severer heart, lung and kidney damages, and much higher levels of DD and LDH than those of the common type. NLR, NEUT, DD, TNI, BNP, LDH, Ca, PCT, PH, and Lac have obvious influence on the prognosis of COVID-19 and should be observed dynamically.
Betacoronavirus ; Blood Cell Count ; standards ; Coronavirus Infections ; blood ; diagnosis ; physiopathology ; Humans ; Lymphocytes ; cytology ; Neutrophils ; cytology ; Pandemics ; Pneumonia, Viral ; blood ; diagnosis ; physiopathology ; Prognosis ; ROC Curve ; Retrospective Studies ; Severity of Illness Index

In the development of oxidative stress-relevant diseases, reactive oxygen species (ROS) removal obstacle or excess production results in the damage of the body tissues and organs. Recent studies have demonstrated that nuclear factor E2-related factor 2/heme oxygenase-1 (Nrf2/HO-1) axis played a significant role in anti-oxidative stress. The Nrf2/HO-1 axis counteracts oxidative stress injury by its resistance to inflammation, oxidation, mitochondrial damage and calcium influx, apoptosis, pyroptosis, ferroptosis and autophagy, which provides a theoretical basis for its therapeutic effect on various oxidative stress-relevant diseases in multiple organs (respiratory, cardiovascular, nervous, digestive, urinary and blood systems). Therefore, effective regulation of the Nrf2/HO-1 signal axis can be an important strategy for treatment of oxidative stress-relevant diseases.
Heme Oxygenase-1 ; NF-E2-Related Factor 2 ; Oxidative Stress ; Reactive Oxygen Species ; Signal Transduction