The dried mature peel of Citrus reticulata, a plant in the Rutaceae family and its cultivated varieties, is a commonly used Chinese medicinal material known as Chenpi(Citri Reticulatae Pericarpium). It is rich in nutritional components and medicinal value, with pharmacological effects including relieving cough and eliminating phlegm, strengthening the spleen and drying dampness, protecting the liver and benefiting the stomach, tonifying Qi, and calming the mind. Huanglongbing(HLB), also known as Citrus Huanglongbing, is a destructive disease in citrus production that seriously threatens the development of the citrus industry. HLB causes symptoms such as the inability of Rutaceae plants to produce mature fruit, gradual weakening of the tree, and eventual death, posing a significant threat to the yield and quality of Chenpi. Due to the uneven distribution of the HLB pathogen in infected plants, accurate detection of the pathogen requires the collection of a large number of plant samples. Current sample pretreatment methods, such as traditional extraction methods and commercial extraction kits, are time-consuming and involve multiple steps, which significantly increase the difficulty and workload of HLB diagnosis and have become a bottleneck in HLB detection. In this study, a rapid high-throughput detection method combining alkali lysis and TaqMan qPCR was developed. This method allows the pretreatment of multiple samples within 5 min, and the entire detection process can be completed within 45 min, with a detection limit of 6.67 fg·μL~(-1). The alkali lysis method and commercial kits were used for parallel detection of field-collected citrus samples, and the results showed no significant difference. The sample pretreatment method established in this study is characterized by low cost, simplicity, and high efficiency. Combined with TaqMan qPCR, it can provide technical support for early and on-site diagnosis of HLB. This method is of great significance for disease prevention and control in the citrus industry and is expected to help improve the yield and quality of citrus medicinal materials.
Citrus/microbiology* ; Plant Diseases/microbiology* ; Rhizobiaceae/physiology* ; High-Throughput Screening Assays/methods* ; Liberibacter/physiology*

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

italic>Lamiophlomis rotata is an important medicinal plant species endemic to the Tibetan Plateau, which is prone to strong climate change impacts on its habitable range due to the high sensitivity of the Tibetan Plateau to climate change. Accurate quantification of species vulnerability to climate change is essential for assessing species extinction risk and developing effective conservation strategies. Therefore, we carried out the α-shape analysis to determine the habitat of L. rotata. We then carried out the climate-niche factor analysis (CNFA) to assess the vulnerability of L. rotata to climate change based on five climate variables (i.e., mean diurnal range, temperature seasonality, mean temperature of warmest quarter, precipitation of driest month and precipitation of warmest quarter) in the context of two shared socioeconomic pathways (i.e., SSP126 and SSP585) and three global climate models (CMCC-ESM2: Centro Euro-Mediterraneo sui Cambiamenti Climatici-Earth System Model version 2; HadGEM3-GC31-LL: Hadley Global Environment Model version 3-Global Coupled configuration 3.1; IPSL-CM6A-LR: Institut Pierre Simon Laplace-Climate Model version 6) during two different periods (2041-2060 and 2081-2100). The vulnerability of L. rotata to climate change was calculated by integrating the sensitivity and exposure indices of L. rotata to five climate variables. The results showed that L. rotata had the highest vulnerability to the precipitation of warmest quarter. Its vulnerability within its habitat range generally showed a spatial pattern of high value in the southern region and low in the northern region, high in the western region and low in the eastern region. In general, the vulnerability of L. rotata under the SSP585 scenario was higher than that under the SSP126 scenario. The climate data of different global climate models have some influence on the results, while the resulted uncertainty can be reduced by data integration methods. As a result of climate change, the pressure on the survival of L. rotata in the future will be intensified in the low-altitude areas such as the Yarlung Zangbo River, Yigongzangbu River, Zayu River, and Jiaomuzu River, etc., while the highly weathered scree flats or stony alpine meadows in the high-altitude zones, such as the eastern Tanggula Mountain Range, the northern part of Hengduan Mountain Range, and the western part of the Qinling Mountains, may become its refuge. It is necessary to focus on and strengthen the protection and management of L. rotata resources in these vulnerble and critical areas.

Objective To analyze the situation of life sciences and medical research involving human subjects conducted in a public hospital in Ningxia from 2020 to 2022 and explore the problems in the current management of such research and pro-vides suggestions for improvement.Methods Data were collected from research project application documents,task assign-ments,progress reports,final reports,and statistical tables of clinical drug trials conducted in the hospital from 2021 to 2022.Statistical analysis was performed on the life sciences and medical research involving human subjects.Results The number of research projects involving human subjects in the hospital increased annually from 2020 to 2022,accounting for more than 50%of the total projects.Over the three years,the sample size exceeded 100,000,and the number of projects with a cumulative collec-tion of more than 3,000 individuals showed an upward trend.However,the project registration rate was less than 10%.These types of research involve a large number of biological samples and information data,which have research value.However,re-searchers lack awareness of project registration,highlighting the need for greater attention from the hospital.Conclusion It is a trend to explore the medical value of this type of research in depth.The hospital should closely follow relevant national and re-gional policies,conduct dynamic monitoring and evaluation,and enhance supervision and management capabilities as a key factor in protecting biological samples and information data.This study also provides reference for other public hospitals in carrying out related regulatory work.

Objective:To analyze the epidemiological characteristics of imported malaria cases from 2019 to 2023 after the elimination of malaria in Shanxi Province, and provide reference for formulating scientific and effective malaria prevention and control strategies in Shanxi Province.Methods:The data of imported malaria cases were collected China Information System for Disease Control and Prevention and National Parasitic Disease Control Information Management System in Shanxi Province, from 2019-2023. Descriptive epidemiological method and SPSS 26.0 statistical software were used for descriptive epidemiological statistical analysis.Results:A total of 51 malaria cases were reported in Shanxi Province in 2019-2023, all imported from abroad. Among them, there were 38 cases of falciparum malaria (74.51%), 6 cases of plasmodium ovale (11.77%), 5 cases of plasmodium vivax (9.80%), 1 case of plasmodium triticum malaria (1.96%), and 1 case of mixed infections (1.96%), with nodeaths; cases were predominantly males (94.12%, 48/51) and workers who went abroad for work (84.31%,43/51); the median age of onset was 37 years old; and there were imported cases every month, with no obvious peak of incidence; Taiyuan City reported the most cases, accounting for 72.55% (37/51) of the total number of cases,the source of infection of cases was mainly from Africa (96.08%), with the Democratic Republic of the Congo (16 cases), Nigeria (6 cases), Equatorial Guinea (5 cases), Mozambique (3 cases), and Republic of the Congo (3 cases) in that order; the median time between the onset of disease and first diagnosis, and the median time between first diagnosis and confirmation, were two times longer than that of first diagnosis, and the median time between first diagnosis and confirmation was two times longer than that of first diagnosis. The M( Q1, Q3) intervals from onset to first diagnosis and from first diagnosis to confirmed diagnosis were 2(0,4) days and 1(0,3) days, respectively, with statistically significant differences between different years from onset to first diagnosis ( H=17.41, P=0.048), and from first diagnosis to confirmed diagnosis ( H=20.82, P=0.010). A total of 101 146 blood tests for febrile patients were conducted in the province during the five years, with the minimum number of blood tests in 2020 (19 867 person-times) and the maximum number of blood tests in 2023 (20 778 person-times). Conclusions:After the elimination of malaria in Shanxi Province from 2019 to 2023, all malaria cases were imported from abroad, and it is still necessary to strengthen the surveillance of people traveling to and from malaria-endemic areas, implement the combination of medical treatment and prevention, and jointly prevent and control the occurrence of imported malaria.

Objective:To investigate the impact of early blood glucose fluctuations after acute multiple injuries on post-traumatic stress disorder (PTSD).Methods:This study was a case-control study. From March 2022 to March 2023, patients with acute multiple injuries who were admitted to the ICU of the Affiliated Hospital of Xuzhou Medical University were selected. According to whether complicated with traumatic brain injury (TBI), the patients were divided into TBI group and non-TBI group. Early post-traumatic blood glucose fluctuations were observed, including stress-induced hyperglycemia (SIH), initial blood glucose value on admission, blood glucose extreme, short-term glycemic variability (GV) and other related indicators. The 72-hour glucose coefficient of variation (Glu-CV) was used to reflect short-term GV. After 1 month, the PTSD checklist for DSM-5 (PCL-5) was used to assess the patient's symptoms of PTSD. The patients were divided into PTSD group and non-PTSD group according to PCL-5 score ≥38. The differences in short-term glucose fluctuations in each groups were compared; the risk factors of PTSD were analyzed by logistic regression; the receiver operating characteristic (ROC) curve was plotted to evaluate the predictive value of related indicators on the incidence of PTSD.Results:159 patients with acute multiple injuries were selected and defined as the TBI group ( n=94) and non-TBI group ( n=65). The incidence of PTSD, PCL-5 scale scores, the incidence of SIH and 72 h Glu-CV in the TBI group were significantly higher than the non-TBI group (all P<0.05). The incidence of SIH and 72 h Glu-CV in the PTSD group were significantly higher than the non-PTSD group (both P<0.05). Multivariate logistic regression analysis showed that 72 h Glu-CV ( OR=1.333, 95% CI: 1.028-1.727, P=0.030) was the independent risk factor for PTSD after acute multiple injuries, and the area under the ROC curve was 0.861 (95% CI: 0.789-0.933, P<0.001), the sensitivity was 62.9% and the specificity was 93.5%. Conclusion:Patients with acute multiple injuries with TBI are more likely to have early glucose fluctuations and develop PTSD, and increased short-term glucose variability is the independent risk factor for PTSD after acute multiple injuries.

Objective To study the prevalence of diabetic nephropathy (DN) and the relationship between dietary pattern and risk. Methods From August 2018 to May 2021, 655 T2DM patients in Wuhan Puren Hospital, including 338 males and 317 females, were divided into T2DM group (n=368 cases) and DN group (n=287 cases) according to whether patients had DN. The uniformly trained staff of our hospital used the simplified version of food intake frequency questionnaire designed for diabetes to investigate the reasonable dietary intake of patients in nearly one year. Clinical data of patients in the two groups were collected and the intake of protein, fat, carbohydrate and dietary fiber in the two groups was statistically analyzed. Logistics regression was used to analyze the formula independent risk factors of DN in T2DM, and Pearson correlation analysis was performed on the incidence of diabetic nephropathy and dietary pattern. Results Among of 655 T2DM patients, there were 287 (43.82%) patients with DN, including 149 males and 138 females. The average age, duration of diabetes, smoking in DN group were significantly higher than those in T2DM group (P<0.05). There was no significant difference in sex ratio between the two groups (P>0.05). Energy, protein intake, carbohydrate and fat intake in DN group were significantly higher than those in T2DM group (P<0.05). Multivariate logistic regression analysis showed that protein, carbohydrate and fat intake were independent risk factors for DEVELOPING DN in T2DM patients (P<0.05). According to Pearson correlation analysis, the risk of developing DN in T2DM patients was positively correlated with protein and fat intake (r=0.449 , 0.517, P<0.05). Conclusion PATIENTS with T2DM have a higher risk of DEVELOPING DN, which is closely related to dietary intake. Reasonable allocation of dietary intake can reduce the risk of developing DN.

Aim To explore the effect of four stilbenes including rhaponticin, desoxyrhaponticin, rhapontigenin and resveratrol on glucose and lipid metabolism in insulin-resistant HepG2 cells induced by high glucose and high fat. Methods The model of insulin resistance was established by incubating HepG2 cells with a complex of glucose and oleic acid. MTT assay was used to detect cell viability. The intracellular triglyceride (TG) and glucose levels were measured by the kit method. The lipid production was observed by oil red O staining, and the cell morphology and uptake of 2-NBDG were observed by confocal microscope. The PPAR signaling pathway and PI3K/Akt insulin signaling pathway related proteins were determined by Western blot to evaluate the effect of stilbenes on glycolipid metabolism in IR-HepG2 cells. Results The complex containing 50 mmol • L

Aim To study the protective effect of trigonelline on H

In this study, we investigated the effects of Panax notoginseng saponins (PNS) on pulmonary vascular remodeling and ADAM10/Notch3 pathway in pulmonary arterial hypertension (PAH). PAH rat model was established, and male Sprague Dawley (SD) rats were randomly divided into control group, monocrotaline (MCT) group and MCT+PNS group, with 10 rats in each group. Rats in the control group were intraperitoneally injected with equal volume of normal saline. Rats in the MCT group was injected intraperitoneally with 60 mg/kg MCT on the first day, and then with the same volume of normal saline every day. Rats in the MCT+PNS group was injected intraperitoneally with 60 mg/kg MCT on the first day, and then with 50 mg/kg PNS every day. The modeling time of each group lasted for 21 days. After the model was established, the mean pulmonary artery pressure (mPAP) was measured by right heart catheterization technique, the right ventricular hypertrophy index (RVHI) was calculated, the microscopic morphology and changes of pulmonary vascular wall were observed by HE and Masson staining, and the expressions of ADAM10, Notch3, Hes-1, P27, PCNA, Caspase-3 proteins and mRNA in pulmonary vascular tissue of rats were detected by Western blot and qPCR. The expression and localization of Notch3 and α-SMA were detected by immunofluorescence staining. The protein expression of ADAM10 was detected by immunohistochemical staining. The results showed that compared with the control group, mPAP, RVHI, pulmonary vessels and collagen fibers in the MCT group were significantly increased, the expressions of ADAM10, Notch3, Hes-1, and PCNA protein and mRNA were significantly increased, while the expressions of P27 and Caspase-3 protein and mRNA were decreased significantly. Compared with the MCT group, mPAP and RVHI were significantly decreased, pulmonary vessels were significantly improved and collagen fibers were significantly reduced, the expressions of protein and mRNA of ADAM10, Notch3, Hes-1, and PCNA were decreased in MCT+PNS group, but the expressions of protein and mRNA of P27 and Caspase-3 were increased slightly. The results of immunofluorescence showed that Notch3 and α-SMA staining could overlap, which proved that Notch3 was expressed in smooth muscle cells. The expression of Notch3 in the MCT group was increased significantly compared with that in the control group, while PNS intervention decreased the expression of Notch3. Immunohistochemical staining showed that compared with the control group, the amount of ADAM10 in the MCT group was increased significantly, and the expression of ADAM10 in the MCT+PNS group was decreased compared with the MCT group. These results indicate that PNS can improve the PAH induced by MCT in rats by inhibiting ADAM10/Notch3 signaling pathway.
Animals ; Male ; Rats ; Caspase 3/metabolism* ; Collagen ; Disease Models, Animal ; Hypertension, Pulmonary/drug therapy* ; Monocrotaline/adverse effects* ; Panax notoginseng/chemistry* ; Proliferating Cell Nuclear Antigen/pharmacology* ; Pulmonary Arterial Hypertension ; Pulmonary Artery/metabolism* ; Rats, Sprague-Dawley ; Receptor, Notch3/genetics* ; RNA, Messenger ; Saline Solution ; Signal Transduction ; Saponins/pharmacology*