Background: Murraya, a genus of shrubs and trees in the Rutaceae family, consists of approximately 9 species in China with significant medicinal and horticultural value. However, the phylogeny and taxonomy of Murraya species remain controversial, particularly with respect to Murraya exotica and M. paniculata. Objective: This study aimed to provide insights into the taxonomy, phylogeny, and identification of Murraya. Methods: In this study, the chloroplast (CP) genomes of 7 Murraya species were sequenced, assembled, and subjected to comparative and phylogenetic analyses. Results: The CP genomes of Murraya ranged from 158,573 to 160,817 bp in length and encoded 112 unique genes, including 78 protein-coding genes, 30 tRNA genes, and 4 rRNA genes. Similar to other angiosperms, the inverted repeat regions of the CP genomes exhibited lower sequence divergence than the single-copy regions, and coding regions were more conserved than noncoding regions. Comparative analysis identified several highly variable regions (eg, matK, ycf1, ndhI-ndhA, trnH-GUG-psbA, rpl32-trnL) that could serve as molecular markers for species identification in Murraya. Among these, the ycf1 gene was validated as a useful marker for distinguishing M. exotica from M. paniculata. Positive selection was detected in 10 genes, including rbcL, psaJ, ndhD, ndhF, rpl2, rpl20, ycf1, accD, ccsA, and rpl32. Phylogenetic analysis based on CP genomes supported the recognition of M. exotica and M. paniculata as independent species. Moreover, the phylogenetic trees indicated that Murraya is not monophyletic, with sect. Bergera showing a closer relationship to Clausena. Molecular dating results suggested that the diversification of M. paniculata, M. alata, and M. exotica occurred approximately 9.11 Mya (95% highest posterior density: 4.90-13.87 Mya). Conclusion: These findings provide valuable CP genome data for clarifying the phylogenetic relationships between M. exotica and M. paniculata, and for advancing the study of DNA markers and the evolutionary history of Murraya.

Objective : To explore the adverse effects of mild traumatic brain injury ( MTBI) on the memory monito- ring function of patients． Methods : This study adopted a paired control research method，combined neuropsycho- logical background tests and memory monitoring task ( feeling of knowing，FOK) to conduct cognitive assessments on two groups of subjects: the patient group ( n = 42) and the matched control group ( n = 42) ． Results : In neuropsychological background test，the patients' performance in digit span test，Stroop color task，digit link task and auditory verbal learning test were significantly lower than those in the control group ( P＜0. 05) ．In addition，there was significant difference in accuracy of FOK task between the two groups ( P ＜0. 05) ．The ratio of right judge- ment / right recognition was relatively high in the control group，while the ratio of correct judgement /wrong recogni- tion was relatively high in the patient group． Conclusion This study confirms that memory impairment in MTBI patients is centered on damage to memory monitoring function．Moreover，the damage to attention，execution，and item content memory abilities in MTBI patients are important driving factors for their memory monitoring dysfunction．

Objective:To investigate the impact of virtual navigation bronchoscopy on perioperative information in patients undergoing thoracoscopic pulmonary resection.Methods:Employed three distinct propensity score matching models to effectively address the baseline data disparities among patients undergoing thoracoscopic pulmonary resection. Categorized the patients into two groups: pulmonary wedge resection and pulmonary segmentectomy. Compared the disparities in clinical characteristics, intraoperative lesion resection, and postoperative recovery between patients who underwent virtual navigation bronchoscopy assisted localization prior to surgery and those who did not employ any specific localization methods.Results:This reserch included a total of 127 patients who underwent localization assisted by virtual navigation bronchoscopy, and 122 patients who did not undergo specialized localization. After propensity score matching, the navigation group demonstrated a statistically significant reduction in intraoperative blood loss[model 3, 40(20, 50) ml vs. 50(20, 100) ml, P=0.027], drainage volume on the first day post-surgery[model 3, 100(50, 175) ml vs. 150(100, 220) ml, P=0.023], and incidence of residual pleural effusion(model 3, 31 cases vs. 38 cases, P=0.046) compared to the non-positioning group among patients undergoing pulmonary wedge resection. In the pulmonary segmentectomy group, we observed a reduction in intraoperative blood loss[model 3, 50(30, 100) ml vs. 100(50, 100) ml, P=0.003] and incidence of residual pneumothorax(model 3, 18 cases vs. 28 cases, P=0.012) in patients who underwent navigation-assisted procedures compared to those without specialized positioning. Conclusion:The utilization of virtual navigation bronchoscopy for preoperative localization assistance in thoracoscopic sublobectomy(including wedge resection and segmental resection) may represent a viable approach to mitigate intraoperative injury and facilitate postoperative recovery.

Objective:To establish a model based on the characteristics of breast cancer ultrasound images through deep learning methods to predict the risk of axillary lymph node metastasis（ALNM）in patients with breast cancer（maximum diameter ≤2.5 cm）before surgery.Methods:A total of 419 patients（3 433 breast tumor ultrasound images）with breast cancer（maximum diameter ≤2.5 cm）who underwent axillary lymph node dissection at Beijing Tiantan Hospital，Capital Medical University from January 2019 to December 2024 were retrospectively included. According to the pathological results of axillary lymph nodes，they were divided into 220 cases in the ALNM occurrence group（positive group）and 199 cases in the non-ALNM occurrence group（negative group）. The breast cancer ultrasound images of the two groups of cases were randomly classified into the training set（2 404 images），the validation set（687 images）and the test set（342 images）according to a ratio of 7∶2∶1. YOLOv8 was used as the basic model of You Only Look Once（YOLO）and optimized. The optimized model was applied to locate and capture the potential ultrasound features of breast cancer cases in the training set. A prediction model was constructed based on the captured ultrasound features. The model was adjusted and optimized through the validation set，and then matched with the case images in the test set. The confusion classification matrix graph and the curve graph for measuring the model performance were used to evaluate the model prediction performance and interpret the model，and the efficacy of this model in identifying breast cancer patients at risk of ALNM was analyzed.Results:There were statistically significant differences between the positive and negative groups in terms of the pathological maximum diameter of breast tumors，pathological T staging，the differentiation degree，the presence of distant metastasis，the maximum diameter measured by ultrasound，the quadrant of breast tumor occurrence，the Breast Imaging - Reporting and Data System（BI-RADS）classification of breast tumors，and the presence of abnormal ultrasound features of lymph node（all P<0.05）. The established deep learning model could automatically perform bounding box localization for the breast cancer of patients.The breast tumors in the positive group had potential ultrasound features that could be captured by the model compared with those in the negative group. The mean average precision（mAP）50 was 0.883，mAP 50-95 was 0.636，PR-AUC was 0.884 5，strict PR-AUC was 0.636 4，the sensitivity was 90.5%，and the specificity was 91.2%，and it had a good predictive efficacy. Conclusions:This prediction model based on the ultrasound characteristics of breast cancer through deep learning can effectively predict breast cancer（maximum diameter ≤ 2.5 cm）with the risk of ALNM，providing an effective basis for the clinical management of axillary lymph nodes in breast cancer patients.

Objective To construct a nursing registry platform for percutaneous coronary intervention(PCI)to provide data support for subsequent real-world research on PCI nursing.Methods From April to December 2023,we established a variable list and data dictionary based on literature review and expert discussion,and constructed a web-based PCI nursing registry platform based on registry-related standards.Results A total of 191 variables were screened in this study,and a corresponding data dictionary was developed for each variable according to the variable name,variable code,variable definition,variable type,variable value range,data source and data collection node.Three levels of account privileges has been set up in the platform,which can realize different data management privileges,and the data can be saved only after filling in and reviewing at each level.The platform is also equipped with automatic data checking function,which reduces data filling errors and improves data quality.Conclusion The constructed PCI nursing registration platform has strong scientific and professional characteristics,and can provide data support for subsequent research,and the content and functions of the platform can be further optimized in the future.

OBJECTIVE: To accurately measure human energy metabolism with high temporal resolution, a respiratory gas analysis system was designed using a breath-by-breath approach. METHODS: Firstly, indirect calorimetry was employed in respiratory gas analysis to measure the respiratory flow and concentration signals in real-time. Secondly, oxygen consumption QO2 and carbon dioxide production QCO2 were calculated through respiratory characteristic alignment and respiratory signal segmentation. Finally, metabolic indexes were calculated according to the Weir formula. Furthermore, a controlled trial was formulated for validation comparisons with the MGC ULTIMA SYSTEM PFX CARDIO2. RESULTS: The results indicate that the data points of metabolic indexes measured by this system all fall within the confidence interval when compared with those of the MGC. CONCLUSION The system has high consistency with the MGC measurement results. Thus, the system can accurately measure metabolism in real-time and provide data support for clinical nutrition assessment and therapy.
Humans ; Energy Metabolism ; Breath Tests/instrumentation* ; Calorimetry, Indirect/instrumentation* ; Equipment Design

Ulcerative colitis (UC) is a chronic and non-specific inflammatory bowel disease (IBD). Huanglian Ganjiang decoction (HGD), derived from ancient book Beiji Qianjin Yao Fang, has demonstrated efficacy in treating UC patients traditionally. Previous research established that the compatibility of cold herb Coptidis Rhizoma + Phellodendri Chinensis Cortex (CP) and hot herb Angelicae Sinensis Radix + Zingiberis Rhizoma (AZ) in HGD synergistically improved colitis mice. This study investigated the compatibility mechanisms through which CP and AZ regulated inflammatory balance in colitis mice. The experimental colitis model was established by administering 3% dextran sulphate sodium (DSS) to mice for 7 days, followed by CP, AZ and CPAZ treatment for an additional 7 days. M1/M2 macrophage polarization levels, glucose metabolites levels and pyruvate dehydrogenase kinase 4 (PDK4) expression were analyzed using flow cytometry, Western blot, immunofluorescence and targeted glucose metabolomics. The findings indicated that CP inhibited M1 macrophage polarization, decreased inflammatory metabolites associated with tricarboxylic acid (TCA) cycle, and suppressed PDK4 expression and pyruvate dehydrogenase (PDH) (Ser-293) phosphorylation level. AZ enhanced M2 macrophage polarization, increased lactate axis metabolite lactate levels, and upregulated PDK4 expression and PDH (Ser-293) phosphorylation level. TCA cycle blocker AG-221 and adeno-associated virus (AAV)-PDK4 partially negated CP's inhibition of M1 macrophage polarization. Lactate axis antagonist oxamate and PDK4 inhibitor dichloroacetate (DCA) partially reduced AZ's activation of M2 macrophage polarization. In conclusion, the compatibility of CP and AZ synergistically alleviated colitis in mice through M1/M2 macrophage polarization balance via PDK4-mediated glucose metabolism reprogramming. Specifically, CP reduced M1 macrophage polarization by restoration of TCA cycle via PDK4 inhibition, while AZ increased M2 macrophage polarization through activation of PDK4/lactate axis.
Animals ; Drugs, Chinese Herbal/chemistry* ; Mice ; Macrophages/immunology* ; Glucose/metabolism* ; Pyruvate Dehydrogenase Acetyl-Transferring Kinase/genetics* ; Male ; Mice, Inbred C57BL ; Humans ; Colitis/drug therapy* ; Disease Models, Animal ; Colitis, Ulcerative/drug therapy* ; Metabolic Reprogramming

This study aims to establish BHK-21 stable cell lines expressing APN from four species(human,pig,dog,and cat),the APN fragments were amplified from pEGFP-C1-APN plasmids of the four species stored in the laboratory to generate the recombinant plasmids pcDNA4.0-APN.Af-ter the recombinant plasmids were transfected into BHK-21 cells,the stable BHK-21 cell lines ex-pressing the APNs were selected by two rounds of limited dilution.The constructed BHK-21 cell lines were identified by indirect immunofluorescence assay(IFA),and their susceptibility to PD-CoV and TGEV was tested for these four cell lines.Virus infection experiments revealed that PD-CoV infected cells expressing human,pig,and dog APNs,while it did not infect cells expressing cat APN.Simultaneously,TGEV infected cells expressing pig,dog,and cat APNs,but did not infect cells expressing human APN.The results suggest that the risk of cross-species infection for different coronaviruses and the established cell line can be used effectively to evaluate the virus in-fection.The findings also revealed that PDCoV has the potential risk of cross-species infection of human and dog,and TGEV has the potential risk of cross-species infection of dog and cat.These results provide a basis for the prevention and control strategy of coronaviruses.

Objective To explore the application value of anhydrous ethanol as an alternative to methanol in the preparation of chromosomal specimens from peripheral blood lymphocytes, and to establish a set of quantitative analytical methods for objectively evaluating the effectiveness of specimen preparation. Methods Residual blood samples from routine laboratory slide preparation were used for lymphocyte culture. The standard slide preparation method was employed. The fixative in the control group was methanol and glacial acetic acid (3∶1). Four experimental groups were set up based on the ratio of anhydrous ethanol to glacial acetic acid in the fixative (volume ratios of 3∶1, 5∶1, 7∶1, and 9∶1 for experimental groups 1, 2, 3, and 4, respectively). A chromosomal analysis was conducted using an automated chromosome scanning/image analysis system to evaluate the morphology and dispersion of metaphase chromosomes in both control and experimental groups. Comparisons were made between the control and experimental groups regarding the dic + r aberration rate, ace aberration rate, chromosomal aberration rate, chromosome dispersion index, chromosome overlapping ratio, and dispersion index/overlapping ratio. Results Microscopic evaluation revealed that the preparation quality of experimental groups 1 and 2 was comparable to the control group. No statistically significant differences were observed in dic + r aberration rate between each of the experimental groups and the control (P > 0.05). All experimental groups except group 4 showed no significant differences in ace aberration rate and chromosome aberration rate compared with the control group (P > 0.05). Experimental groups 1 and 2 showed no significant differences in chromosome dispersion index, overlapping ratio, and dispersion index/overlapping ratio compared with the control group (P > 0.05). Conclusion A mixture of anhydrous ethanol and glacial acetic acid at a 5∶1 ratio is recommended for use as a fixative in the preparation of chromosomal specimens from peripheral blood lymphocytes. A quantitative index system for assessing the quality of chromosomal specimens was established, enabling objective evaluation of slide preparation effectiveness.

Objective To evaluate the preliminary effects of a Traditronal Chinese Medicine(TCM)incentive policy aimed at the number of discharge patients on the synergistic improvement of performance assessment indicators in the Traditional Chinese Hospital.Methods It selected detailed data from the first page of medical records at the grade A teritary hospital from October,2018 to October,2021.Using the Interrupted Time Series analysis method,two breakpoints were taken as the start time of COVID-19(December 2019)and the official implementation time of dis-charge performance program(September 2020).The utilization rate of TCM decoction pieces among discharged pa-tients,the utilization rate of TCM non-drug therapy among discharged patients,the proportion of discharged pa-tients mainly treated with TCM,and the proportion of inpatient medical service income before and after the break-point were analyzed.Results Despite the impact of COVID-19,after the policy was implemented,four key indicators showed a positive growth trend:the proportion of discharged patients treated primarily with TCM,the rate of TCM decoction use among discharged patients,the rate of TCM non-pharmaceutical therapy use among discharged pa-tients,and the proportion of medical service income,respectively.Conclusion The introduction of a TCM reward module in the discharge performance bonus plan of the sample hospital effectively stimulated the enthusiasm of medical staff in applying TCM.The utilization rate of TCM decoction slices,the utilization rate of TCM non-drug therapy,the proportion of discharged patients treated mainly by TCM and the proportion of medical service income all showed an upward trend,indicating that the incentive policy of TCM has a positive impact on the national examination index of TCM hospitals.