OBJECTIVE To prepare the β -cyclodextrin （ β -CD） inclusion complex with volatile oil from Qianghuo qushi qingwen granules， and to characterize and quantitatively analyze the inclusion complex. METHODS The comprehensive scores calculated by inclusion rate and inclusion compound yield were used as indicators for screening the inclusion method. The single-factor experiments and Box-Behnken response surface experiments were used to op timize the inclusion conditions， with the above comprehensive score as response value， and taking the ratio of β -CD to volatile oil， inclusion temperature and inclusion time as indexes. The volatile oil inclusion complex of Qianghuo qushi qingwen granules was prepared according to the determined optimal process， followed by validation. Ultraviolet （UV）-visible spectroscopy， thin-layer chromatography （TLC）， and microscopic imaging were also performed. Ultra-high performance liquid chromatography was used to determine the contents of perillaldehyde， pogostone and atractylodin. RESULTS The saturation aqueous solution method was adopted. The optimal inclusion process conditions were as follows： the ratio of β -CD to volatile oil was 7.5∶1， the inclusion temperature was 40 ℃， and the inclusion time was 2.2 h. In three verification experiments， the average inclusion rate was 72.32%， the average yield of inclusion compound was 74.45%， the average comprehensive score was 72.96 points， and the relative error with the predicted value （74.15 points） of the model was 1.61%. UV-visible spectroscopy， TLC and microscopic imaging showed that β -CD and volatile oil successfully formed a new inclusion complex. The average contents of perillaldehyde， pogostone and atractylodin were 4.498 2， 0.814 9， 0.905 7 mg/g， respectively， with RSDs of 0.31%， 0.56% and 0.63% （ n ＝3）. CONCLUSIONS A stable and feasible preparation process of the volatile oil inclusion complex of Qianghuo qushi qingwen granules is successfully established.

Based on whole genome data, the identification and expression pattern analysis of the Atropa belladonna WRKY transcription factor family were conducted to provide a theoretical foundation for studying the biological functions and mechanisms of these transcription factors. In this study, bioinformatics methods were employed to identify members of the A. belladonna WRKY gene family and to predict their physicochemical properties, conserved motifs, promoter cis-acting elements, and chromosomal localization. Additionally, the expression patterns of the A. belladonna WRKY gene family under the regulation of environmental factors such as light quality and temperature were analyzed. The results revealed a total of 28 AbWRKY transcription factors, randomly distributed across 16 chromosomes, encoding 324-707 amino acids. Most AbWRKY proteins were acidic, unstable, and hydrophilic. Based on multiple sequence alignment and phylogenetic analysis, the WRKY gene family members were classified into two subfamilies. Conserved motif and domain analysis indicated that WRKY transcription factors in the same subfamily possessed conserved structural features. Promoter analysis predicted that the A. belladonna WRKY family contained light-responsive elements, hormone-responsive elements, and stress-responsive elements. Collinearity analysis showed that AbWRKY24 plays a crucial role in the expansion of the AbWRKY gene family. Then qRT-PCR results indicated that AbWRKY6, AbWRKY8, AbWRKY14, and AbWRKY24 responded to red light stress, while AbWRKY8, AbWRKY14, and AbWRKY24 responded to yellow light/low-temperature combined stress. AbWRKY6 and AbWRKY8 were significantly expressed in leaves and stems, AbWRKY27 and AbWRKY28 were significantly expressed in fibrous roots, and AbWRKY25 was significantly expressed in flowers. This study is the first to identify and analyze the WRKY gene family in A. belladonna and to examine its expression patterns under light and temperature regulation, laying a foundation for in-depth analysis and functional validation of the molecular mechanisms of A. belladonna WRKY transcription factors in responding to light quality and temperature environmental factors.
Transcription Factors/chemistry* ; Plant Proteins/metabolism* ; Phylogeny ; Gene Expression Regulation, Plant ; Light ; Temperature ; Atropa belladonna/metabolism* ; Multigene Family/genetics* ; Promoter Regions, Genetic/genetics* ; Sequence Alignment ; Amino Acid Sequence ; Genome, Plant/genetics*

Objective:To investigate the value of the venous-to-arterial CO 2 gap (Δ CO 2 gap) before and after the fluid challenge (FC) in determining the fluid responsivenessin septic shock patients. Methods:A total of 104 septic shock patients admitted to the Medical Intensive Care Unit (MICU) of Peking Union Medical College Hospital were included in the retrospective study. All patients were monitored by Swan Ganz floating catheter during the FC. Hemodynamics and blood gas indices were collected before FC (T0) and immediately (T1), 10 min (T2), 30 min (T3) and 60 min (T4) after FC. Responders were defined as patients with a > 10% increase in cardiac output (CO) after FC. Spearman correlation analysis was used to evaluate the correlation between CO 2 gap and CO. The value of ΔCO2 gap were calculated by the area under the receiver operating characteristic (AUROC) curve in the whole population. Results:Among 104 patients, the effective rates of FC at T1, T2, T3 and T4 were 59% (61/104), 72% (75/104), 73% (76/104), and 77% (80/104), respectively. CO of patients in the reactive group was lower than that in the non-reactive group at T2 [6.0 (4.7, 7.5) vs. 7.2 (6.4, 8.5) L/min, P=0.019], and there was no significant difference in CO 2 gap between the two groups before FC. Spearman correlation analysis showed that CO 2 gap was negatively correlated with CO, and the correlations between CO 2 content gap and CO was -0.34, and -0.33 of CO 2 pressure gap and CO, respectively (both P <0.05). ROC curve analysis showed that the ΔCO 2 gap at T1 could weakly judge the reactivity at T2, T3 and T4, but could not judge the reactivity at T1. The AUROC at T2 was 0.669 of ΔCO 2 content gap and 0.684 of ΔCO 2 pressure gap (both P <0.05). Conclusions:The evaluate time judging the effect of FC should be appropriately extended. The change value of CO 2 gap before and immediately after volume expansion in septic shock patients can judge the fluid responsiveness within 10 min after FC.

In order to solve difficulties in traditional Chinese medicine (TCM) and western medicine integration of information resources, based on the research of distributed technology, this article used Web service technology based on SOA architecture associated TCM and western medicine treatment of the same disease. It finally put forward the integrated model of TCM and western medicine information resources based on distributed technology and in-depth design. It solved the problem of professional TCM or western medicine doctors who cannot use combined TCM and western medicine scheme. It realized the integration, reusability and expansibility of TCM and western medicine information resources. It provided important reference for the development of modern medicine.