Risk factors of poor early prognosis in the treatment of COVID-19 with nematevir and ritonavir tablets and the establishment of prediction model / 药学实践杂志

Objective To explore risk factors of poor early prognosis in the treatment of COVID-19 by nematevir and ritonavir tablets Paxlovid and establish the prediction model to provide reference for improving the effect of such patients. Methods 92 inpatients of COVID-19 treated with Paxlovid in three military tertiary hospital in southern Fujian from January 2023 to March 2023 were retrospectively analyzed. The clinical indicators of 92 inpatients were collected for univariate and multivariate analysis by single factor and multiple factors and the independent risk factors of poor early prognosis in Paxlovid were screened out. Logistic model equation was transformed to construct the combined predictors, and ROC curve was used to determine the area under the curve (AUC) and the optimal critical value of the combined predictors. Results Among 92 patients, 31 (33.70%) developed poor early prognosis, including 11 deaths (35.48%), 17 critical cases (54.84%) and 3 severe cases (9.68%). Multi-factor Logistic regression analysis showed that the disease days, lymphocyte count, aspartate aminotransferase(AST), C reactive protein(CRP) and ventilator-assisted ventilation were independent risk factors for poor early prognosis in Paxlovid. A formula for calculating the combined predictors (Y) was established as Ycombinedpredictors=7.875Xdisease days+126.188Xlymphocyte count+1.438XAST+XCRP+220.500Xventilator-assisted ventilation based on the above independent risk factors, and the ROC curve was drawn. With the maximum area under the ROC curve of the combined predictors being 0.939, the prediction value was best, and the optimal critical value of the ROC curve corresponding to the maximum Youden index (0.756) was 447.920.Theoretical accuracy of the model was 89.10%. Conclusion The disease days, lymphocyte count, AST, CRP and ventilator-assisted ventilation were independent risk factors for poor early prognosis in Paxlovid. Combined predictors could be calculated by the above risk factors before medication. The efficiency should be improved by taking more active treatment, including combining with other anti-COVID-19 drugs when the prediction result exceeds 447.920.

Enhancing thermostability of xylanase from rumen microbiota by molecular cyclization / 生物工程学报

The capacity for thermal tolerance is critical for industrial enzyme. In the past decade, great efforts have been made to endow wild-type enzymes with higher catalytic activity or thermostability using gene engineering and protein engineering strategies. In this study, a recently developed SpyTag/SpyCatcher system, mediated by isopeptide bond-ligation, was used to modify a rumen microbiota-derived xylanase XYN11-6 as cyclized and stable enzyme C-XYN11-6. After incubation at 60, 70 or 80 ℃ for 10 min, the residual activities of C-XYN11-6 were 81.53%, 73.98% or 64.41%, which were 1.48, 2.92 or 3.98-fold of linear enzyme L-XYN11-6, respectively. After exposure to 60-90°C for 10 min, the C-XYN11-6 remained as soluble in suspension, while L-XYN11-6 showed severely aggregation. Intrinsic and 8-anilino-1-naphthalenesulfonic acid (ANS)-binding fluorescence analysis revealed that C-XYN11-6 was more capable of maintaining its conformation during heat challenge, compared with L-XYN11-6. Interestingly, molecular cyclization also conferred C-XYN11-6 with improved resilience to 0.1-50 mmol/L Ca²⁺ or 0.1 mmol/L Cu²⁺ treatment. In summary, we generated a thermal- and ion-stable cyclized enzyme using SpyTag/SpyCatcher system, which will be of particular interest in engineering of enzymes for industrial application.

Effect of mindfulness trait factors on sleep quality of college students: the mediating role of cognitive emotion regulation strategies and anxiety / 中华行为医学与脑科学杂志

Objective@#To explore the effect of mindfulness traits on sleep quality of college students, and to investigate the mediating mechanism of cognitive emotion regulation and anxiety for mindfulness trait factors, and sleep quality in college students.@*Methods@#Totally 397 college students from five colleges were investigated using Five Facet Mindfulness Questionnaire, Cognitive Emotion Regulation Questionnaire, Self-Rating Anxiety Scale and Pittsburgh Sleep Quality Index.SPSS 22.0 version and Bootstrap method were used to analysis data and test intermediate effect.@*Results@#(1)The total score of mindfulness trait and the score of describe, act with awareness and non-judge factors in mindfulness traits were(118.44±9.38), (24.82±3.87), (27.41±5.53) and (25.07±4.60), respectively.The total score of sleep quality was (5.57±2.62), and it was negatively related to the above three factors (r=-0.13--0.37, all P<0.05). (2)Anxiety played a complete mediating role between describe factor and sleep quality.Negative cognitive emotion regulation and anxiety played multiple mediating roles between the total score of mindfulness trait, the act with awareness factor and sleep quality.Negative cognitive emotion regulation and anxiety played a complete chain mediated role between non-judge factor and sleep quality.@*Conclusion@#The describe, act with awareness and non-judge factors in mindfulness traits can affect sleep quality through mediation of negative cognitive emotion regulation and / or anxiety.

Effect of mindfulness trait factors on sleep quality of college students: the mediating role of cognitive emotion regulation strategies and anxiety / 中华行为医学与脑科学杂志

Objective To explore the effect of mindfulness traits on sleep quality of college students,and to investigate the mediating mechanism of cognitive emotion regulation and anxiety for mindful-ness trait factors,and sleep quality in college students. Methods Totally 397 college students from five col-leges were investigated using Five Facet Mindfulness Questionnaire,Cognitive Emotion Regulation Question-naire,Self-Rating Anxiety Scale and Pittsburgh Sleep Quality Index. SPSS 22. 0 version and Bootstrap method were used to analysis data and test intermediate effect. Results (1)The total score of mindfulness trait and the score of describe,act with awareness and non-judge factors in mindfulness traits were(118. 44±9. 38), (24. 82± 3. 87),(27. 41± 5. 53) and ( 25. 07 ± 4. 60),respectively. The total score of sleep quality was (5. 57±2. 62),and it was negatively related to the above three factors (r=-0. 13--0. 37,all P<0. 05). (2) Anxiety played a complete mediating role between describe factor and sleep quality. Negative cognitive emo-tion regulation and anxiety played multiple mediating roles between the total score of mindfulness trait,the act with awareness factor and sleep quality. Negative cognitive emotion regulation and anxiety played a complete chain mediated role between non-judge factor and sleep quality. Conclusion The describe,act with aware-ness and non-judge factors in mindfulness traits can affect sleep quality through mediation of negative cogni-tive emotion regulation and / or anxiety.