1.Purification of a New Antibacterial Protein from Housefly(Musca domestica)Larvae
Hui QU ; Youjin HAO ; Yingjun JING ; Desen LI ; Rongqian DU
China Biotechnology 2006;0(09):-
Insects exhibit a particular resistance to infections.The activation of the innate immune response of insects is involved in the recognition of the infectious nonself and subsequent activation of cellular and humoral reactions.In humoral reactions,insect antibacterial peptides and lysozyme are very important in resistance to infections.Housefly(Musca domestica) is one of the most important kinds of insects and it has strong ability to adapt to the adverse circumstances.It is of momentous theoretical and practical significance to research the immunity system of housefly.The methods of inducement of housefly larvae were firstly studied.Then an antibacterial protein,whose molecular weight is 28kDa,was purified from housefly larvae,induced by 30% H2O2,through saltout,Sephadex G25 column,Sephadex G75 column and CMSepharose Fast Flow column.This antibacterial peptide had activities against most of Gram positive and Gram negative bacteria.
2.Clinical study on optimal switching mode in sequential noninvasive-invasive mechanical ventilation for acute exacerbation of chronic obstructive pulmonary disease
Hongrui ZHAI ; Songping LUO ; Lei LIN ; Desen DU ; Baomin DUAN
Chinese Critical Care Medicine 2020;32(2):161-165
Objective:To explore the switch time of noninvasive-invasive mechanical ventilation sequential treatment for acute exacerbation of chronic obstructive pulmonary disease (AECOPD), and effectively reduce the rate of tracheal intubation.Methods:A retrospective study was performed on patients with AECOPD, who underwent mechanical ventilation in emergency resuscitation room and admitted to department of respiration of Kaifeng Central Hospital Emergency Center from July 2014 to March 2019. The patients who used noninvasive mechanical ventilation (NIV) were included in NIV group (118 cases), and those who used invasive positive pressure ventilation (IPPV) were included in IPPV group (52 cases). The usage of breathing machine time, hospital days and hospital mortality were compared between the two groups. Clinical indicators such as age, gender, body temperature, respiratory rate, body mass index (BMI), mean arterial pressure (MAP), oxygenation index (PaO 2/FiO 2), respiratory index (RI), pH value, D-dimer, hemoglobin (HB), albumin, blood lactate (Lac), brain natriuretic peptide (BNP), C-reactive protein (CRP), procalcitonin (PCT), serum creatinine (SCr), white blood cell count (WBC), Glasgow coma scale (GCS), sputum excretion drainage were collected. The factors influencing the failure of NIV were analyzed by Logistic stepwise regression analysis. The receiver operating characteristic (ROC) curve was used to test the value of the NIV failure risk prediction model. Results:There was no significant difference in total mechanical ventilation time and hospital mortality between NIV group and IPPV group (hours: 65.6±11.11 vs. 66.9±12.1, 6.8% vs. 9.6%, both P > 0.05), but the hospital time in group NIV was significantly shorter than that in IPPV group (days: 12.3±2.1 vs. 14.2±2.5, P < 0.05). In NIV group, 101 cases completed NIV continuously, 17 cases of NIV failure turned to IPPV, and the failure rate of NIV was 14.4%. There were statistically significant differences in gender, PaO 2/FiO 2, RI, pH value, D-dimer, PCT, WBC, Lac, sputum excretion drainage and GCS score between NIV failure patients and NIV success patients. Logistic regression analysis showed that RI, pH value, WBC and sputum excretion drainage were independent risk factors for NIV failure [RI: odds ratio ( OR) = 3.879, 95% confidence interval (95% CI) was 1.258-11.963, P = 0.018; pH value: OR = 3.316, 95% CI was 1.270-8.660, P = 0.014; WBC: OR = 3.684, 95% CI was 1.172-11.581, P = 0.026; sputum excretion drainage: OR = 0.125, 95% CI was 0.042-0.366, P = 0.000]. The NIV failure risk prediction model based on the above independent risk factors had a good goodness of fit ( χ2 = 9.02, P = 0.34). ROC curve analysis showed that the NIV failure risk prediction model had a high predictive value for the patients with AECOPD [the area under ROC curve (AUC) was 0.818±0.051, 95% CI was 0.718-0.918, P = 0.000]. Conclusions:If patients with AECOPD have relative contraindications of NIV but still insist on using NIV, further risk stratification of NIV failure is needed. For those with RI, pH value, WBC abnormalities and sputum excretion drainage, the risk of choosing NIV is significantly increased. We need to pay more attention to the change of the condition and switch to IPPV in time to avoid exacerbation of the condition.