Objective To investigate the protective effect of paravertebral nerve block combined with general anesthesia on liver injury after laparoscopic hepatectomy(LH).Methods A randomized controlled trial was conducted on 51 patients undergoing LH in our hospital between April and August 2024.They were randomly divided into control group(n=25,general anesthesia)and paravertebral block group(n=26,paravertebral nerve block before general anesthesia induction).Beside anesthesia,they received same other medical treatment.The following indicators were compared between the 2 groups,that is,serum levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TBIL)and albumin(ALB),and systemic-immune inflammation(SII)index within 7 d before and on the 1st and 2nd days after surgery;heart rate and mean arterial pressure(MAP)before anesthesia induction(T1),before pneumoperitoneum establishment(T2),pneumoperitoneum establishment(T3),and at the first hilar occlusion(T4);usages of intraoperative norepinephrine,sevoflurane,and analgesic drugs 24 h postoperatively;as well as operation time,extubation time,and lengths of postanesthesia care unit(PACU)stay and hospital stay.Results The paravertebral block group had significantly lower ALT on the 1st day after surgery[178.40(126.55,325.86)vs 292.20(197.20,468.95)U/L],SII on the 2nd day after surgery[704.13(486.61,1 078.59)vs 1 075.09(753.80,1 614.38)],and amount of analgesic drugs in 24 h after surgery[29.70(27.37,32.07)vs 31.99(28.92,40.81)mg],and decreased MAP level at T3 and T4,early extubation,and shorter lengths of PACU stay and hospital stay when compared with the control group(all P<0.05).Conclusion Paravertebral nerve block combined with general anesthesia can reduce inflammatory responses,relieve postoperative pain,stabilize hemodynamics for patients undergoing LH,and thereby alleviate postoperative liver injury in them.

In the field of substance detection,ion dissociation techniques have become crucial for enhancing qualitative accuracy.By applying external energy to induce dissociation of ions in the substance being analyzed,the internal structural information can be obtained,thereby improving qualitative capabilities.Current research on ion dissociation techniques primarily focuses on tandem mass spectrometry,which typically requires a vacuum environment.However,research on ambient ion dissociation techniques is less developed,with some progress made in the field of tandem ion mobility spectrometry.Recently,the development of field-induced dissociation(FID)in this area has enabled ambient dissociation of various explosive and volatile alcohol ions.Nevertheless,the limitation imposed by the maximum breakdown field of air restricts the energy of the electric field,making it challenging to dissociate ions with high energy requirements,such as those of drugs.To address this issue,in this work,an ambient heat-induced dissociation(HID)technique based on high temperatures was proposed,in which an ambient ion heat-induced dissociation unit was developed and integrated into a home-made ion trap mass spectrometer.Experiments were conducted on four representative drug samples,e.g.methamphetamine,heroin,cocaine,and ketamine.The parent ions mass spectra,low vacuum collision-induced dissociation(CID)mass spectra and ambient HID mass spectra for each sample were obtained.By analyzing and comparing the fragmentation products from ambient and low vacuum dissociation,the feasibility of the ambient HID technique was verified.This technique provided a method for ion dissociation in single mass analyzers without tandem mass spectrometry capability and offered a new research direction for the future development of tandem ion mobility spectrometry.

Objective To explore the relationship between the level of Caveolin-1 and high mobility group protein B1(HMGB-1)in cerebrospinal fluid and the severity of sepsis and their predictive value.Methods A total of 102 children with sepsis were selected in a hospital from June 2021 to December 2023.According to neonatal critical case scoring criteria,the children were divided into mild group(n=41)and severe group(n=61).According to the diagnostic criteria of purulent meningitis and the results of cerebrospinal fluid examina-tion,the children were divided into sepsis complicated with purulent meningitis group(n=16)and simple sepsis group(n=86).The clinical data of the children were collected,and the levels of Caveolin-1,HMGB-1 and inflammatory factors[hypersensitive C-reactive protein(hs-CRP),procalcitonin(PCT)and tumor necro-sis factor-α(TNF-α)]in cerebrospinal fluid of the children were detected by enzyme-linked immunosorbent assay.Multivariate Logistic regression analysis was conducted to analyze the factors affecting the severity of sepsis,and the receiver operating characteristic curve was drawn to analyze the diagnostic value of Caveolin-1 and HMGB-1 in the severity of sepsis and the prediction value of purulent meningitis in the children.Results Compared with mild group,cerebrospinal fluid levels of Caveolin-1 and HMGB-1 in severe group were signifi-cantly increased,and the difference was statistically significant(P<0.05).The levels of PCT,hs-CRP and TNF-α in severe group were significantly higher than those in mild group,and the difference was statistically significant(P<0.05).Multivariate Logistic regression analysis showed that PCT,hs-CRP,TNF-α,Caveolin-1 and HMGB-1 levels were all risk factors for the severity of sepsis in children(P<0.05).The combined diag-nosis of Caveolin-1 and HMGB-1 was significantly better than that of Caveolin-1(Z=2.109,P=0.035),HMGB-1(Z=2.099,P=0.036),PCT(Z=2.487,P=0.013),hs-CRP(Z=2.419,P=0.016)and TNF-α(Z=3.441,P=0.001)were diagnosed alone.Compared with simple sepsis group,cerebrospinal fluid Caveo-lin-1 and HMGB-1 levels in sepsis complicated with purulent meningitis group were significantly increased,and the difference was statistically significant(P<0.05).The combined prediction of Caveolin-1 and HMGB-1 was significantly better than that of Caveolin-1(Z=2.621,P=0.009)and HMGB-1(Z=1.997,P=0.046)alone.Conclusion There are significant increases in the levels of Caveolin-1 and HMGB-1 in chil-dren with severe sepsis or sepsis complicated with purulent meningitis.Caveolin-1 and HMGB-1 have a certain clinical value in evaluating the severity of sepsis in children and predicting whether they are complicated with purulent meningitis.

At present, the cause of traditional Chinese medicine(TCM) in China has entered a new period of high-quality development. How to strengthen the foundation for the TCM industry from the source is an important issue that deserves the attention of the authorities, industry, and academia. This study systematically analyzed the regulatory system of TCM raw materials and preparations. The study took the TCM industry chain and the product life cycle as a clue and focused on the dimensions of TCM resource protection and plant cultivation(farming), production and quality supervision of TCM raw materials and preparations, and their market access and distribution. It analyzed the current situation of the regulation of TCM raw materials and preparations under the regulatory system of drugs, discussed the main problems, and put forward corresponding suggestions. The results can provide an important reference value for the subsequent improvement of the regulatory system of drugs and the construction of a prominent regulatory system of drugs in accordance with TCM characteristics.
Drugs, Chinese Herbal/economics* ; Medicine, Chinese Traditional/standards* ; China ; Quality Control ; Humans ; Plants, Medicinal/chemistry*

Cervi Cornu Pantotrichum is a precious animal-derived Chinese medicinal material, while there are often adulterants derived from animals not specified in the Chinese Pharmacopeia in the market, which disturbs the safety of medication. This study was conducted with the aim of strengthening the quality control of Cervi Cornu Pantotrichum and standardizing the medication. To achieve digital identification of Cervi Cornu Pantotrichum from different sources, a digital identification model was constructed based on ultra-high performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry(UHPLC-QTOF-MS~E) combined with an adaptive boosting algorithm(Adaboost). The young furred antlers of sika deer, red deer, elk, and reindeer were processed and then subjected to polypeptide analysis by UHPLC-QTOF-MS~E. Then, the mass spectral data reflecting the polypeptide information were obtained by digital quantification. Next, the key data were obtained by feature screening based on Gini index, and the digital identification model was constructed by Adaboost. The model was evaluated based on the recall rate, F_1 composite score, and accuracy. Finally, the results of identification based on the constructed digital identification model were validated. The results showed that when the Gini index was used to screen the data of top 100 characteristic polypeptides, the digital identification model based on Adaboost had the best performance, with the recall rate, F_1 composite score, and accuracy not less than 0.953. The validation analysis showed that the accuracy of the identification of the 10 batches of samples was as high as 100.0%. Therefore, based on UHPLC-QTOF-MS~E and Adaboost algorithm, the digital identification of Cervi Cornu Pantotrichum can be realized efficiently and accurately, which can provide reference for the quality control and original animal identification of Cervi Cornu Pantotrichum.
Animals ; Algorithms ; Antlers/chemistry* ; Boosting Machine Learning Algorithms ; Chromatography, High Pressure Liquid/methods* ; Deer ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Quality Control ; Reindeer ; Tandem Mass Spectrometry/methods* ; Tissue Extracts/analysis*

Emodin is a hydroxyanthraquinone compound that is widely distributed and has multiple pharmacological activities, including anti-diarrheal, anti-inflammatory, and liver-protective effects. Research indicates that emodin may be one of the main components responsible for inducing hepatotoxicity. However, studies on the mechanisms of liver injury are relatively limited, particularly those related to bile acids(BAs) metabolism. This study aims to systematically investigate the effects of different dosages of emodin on BAs metabolism, providing a basis for the safe clinical use of traditional Chinese medicine(TCM)containing emodin. First, this study evaluated the safety of repeated administration of different dosages of emodin over a 5-week period, with a particular focus on its impact on the liver. Next, the composition and content of BAs in serum and liver were analyzed. Subsequently, qRT-PCR was used to detect the mRNA expression of nuclear receptors and transporters related to BAs metabolism. The results showed that 1 g·kg~(-1) emodin induced hepatic damage, with bile duct hyperplasia as the primary pathological manifestation. It significantly increased the levels of various BAs in the serum and primary BAs(including taurine-conjugated and free BAs) in the liver. Additionally, it downregulated the mRNA expression of farnesoid X receptor(FXR), retinoid X receptor(RXR), and sodium taurocholate cotransporting polypeptide(NTCP), and upregulated the mRNA expression of cholesterol 7α-hydroxylase(CYP7A1) in the liver. Although 0.01 g·kg~(-1) and 0.03 g·kg~(-1) emodin did not induce obvious liver injury, they significantly increased the level of taurine-conjugated BAs in the liver, suggesting a potential interference with BAs homeostasis. In conclusion, 1 g·kg~(-1) emodin may promote the production of primary BAs in the liver by affecting the FXR-RXR-CYP7A1 pathway, inhibit NTCP expression, and reduce BA reabsorption in the liver, resulting in BA accumulation in the peripheral blood. This disruption of BA homeostasis leads to liver injury. Even doses of emodin close to the clinical dose can also have a certain effect on the homeostasis of BAs. Therefore, when using traditional Chinese medicine or formulas containing emodin in clinical practice, it is necessary to regularly monitor liver function indicators and closely monitor the risk of drug-induced liver injury.
Emodin/administration & dosage* ; Bile Acids and Salts/metabolism* ; Animals ; Male ; Liver/injuries* ; Chemical and Drug Induced Liver Injury/genetics* ; Drugs, Chinese Herbal/adverse effects* ; Humans ; Rats, Sprague-Dawley ; Mice ; Rats

Dendrobium officinale(DO) is a traditional Chinese medicinal and edible plant, while it is critically endangered worldwide. This article, primarily based on the original research findings of the author's team and available articles, provides a comprehensive overview of the factors contributing to the endangerment of DO and the key technologies for the conservation, efficient cultivation, and value-added utilization of this plant. The scarcity of wild populations, low seed-setting rates, lack of endosperm in seeds, and the need for symbiosis with endophytic fungi for seed germination under natural conditions are identified as the primary causes for the rarity and endangerment of DO. Artificial seed production and tissue culture are highlighted as key technologies for alleviating the endangered status. The physiological and ecological mechanisms underlying the adaptation of DO to epiphytic growth are explored, and it is proposed that breaking the coupling of high temperature and high humidity is essential for preventing southern blight, a devastating affliction of DO. The roles of endophytic fungi in promoting the growth, improving the quality, and enhancing the stress resistance of DO are discussed. Furthermore, the integration of variety breeding, environment selection, and co-culture with endophytic fungi is emphasized as a crucial approach for efficient cultivation. The value-added applications of DO in pharmaceuticals, health foods, food products, and daily chemicals-particularly in the food and daily chemical industries-are presented as key drivers for a 10-billion-RMB-level industry. This systematic review offers valuable insights for the further development, utilization, and industrialization of DO resources, as well as for the broader application of conservation strategies for other rare and endangered plant species.
Dendrobium/microbiology* ; Endangered Species ; Seeds/microbiology* ; Fungi/physiology*

Analyzing the spatial distribution pattern and formation factors of medicinal plant resources can provide a scientific basis for the protection and development of traditional Chinese medicine(TCM) resources. This study is based on the survey data of medicinal plant resources in 104 county-level administrative regions of Anhui province in the Fourth National Survey of TCM Resources. The global spatial autocorrelation analysis, trend surface analysis, local spatial autocorrelation analysis, hotspot analysis, and a geodetector were employed to analyze the spatial distribution pattern of medicinal plant richness, and its relationship with natural factors was explored. The results can provide a basis for the formulation of development strategies such as the protection and utilization of TCM resources, as well as offer a scientific foundation for the establishment of regional planning schemes for TCM resources in Anhui province. The results indicated that the richness of medicinal plant resources in Anhui province had significant spatial heterogeneity, exhibiting highly clustered distribution characteristics. Cold spots and hot spots presented clustered distribution patterns, with cold spots mostly located north of the Huaihe River and hot spots south of the Yangtze River. Overall, the distribution of medicinal plant resources in Anhui province showed an overall trend of high in the south and low in the north, which was consistent with the overall geomorphic trend of this province. In addition, natural factors such as altitude, precipitation, and vegetation type played an important role in the diversity and spatial distribution pattern formation of medicinal plant resources. The extraction and analysis of the spatial distribution characteristics of natural factors in cold and hot spot regions discovered that the heterogeneity of eco-environments constituted a fundamental condition for the formation of species diversity.
Plants, Medicinal/classification* ; China ; Spatial Analysis ; Conservation of Natural Resources ; Biodiversity

ObjectiveTo investigate the protective effect and mechanism of verbenalin on mouse mononuclear macrophage leukemia cells （RAW264.7） damaged by human coronavirus （HCoV）-229E infection， thereby providing experimental evidence for its development and application. MethodsRAW264.7 macrophages were infected with different concentrations of HCoV-229E to establish a coronavirus-induced macrophage injury model using the cell counting kit-8 （CCK-8） assay for assessing cell proliferation and viability. Cells were randomly divided into four groups： normal control， verbenalin group （125 μmol·L^-1）， model group （HCoV-229E）， and HCoV-229E + verbenalin group （HCoV-229E + 125 μmol·L^-1 verbenalin）. Cell viability was measured using the CCK-8 assay， and the maximum non-toxic concentration （CC₀）， half-maximal cytotoxic concentration （CC₅₀）， half-maximal effective concentration （EC₅₀）， and selectivity index （SI） of verbenalin were calculated. Calcein/PI double staining was used to assess cell viability and cytotoxicity， and JC-1 staining was applied to evaluate changes in mitochondrial membrane potential （MMP）. mito-Keima adenovirus labeling was used to assess mitophagy levels in each group. ResultsA macrophage infection model was successfully established by infecting RAW264.7 cells with the original concentration of HCoV-229E for 36 h. The CC₀ of verbenalin was 125 μmol·L^-1. The CC₅₀ was 448.25 μmol·L^-1. The EC₅₀ against HCoV-229E-infected cells was 46.28 μmol·L^-1， and the SI was 9.68. Compared with the normal group， the model group showed significantly reduced cell survival rate （P<0.01）， increased cell death rate （P<0.01）， decreased MMP （P<0.01）， and suppressed mitophagy （P<0.01）. In contrast， verbenalin treatment significantly improved cell survival rate （P<0.01）， reduced cell death rate （P<0.01）， alleviated MMP loss （P<0.01）， and enhanced mitophagy levels （P<0.01） compared with the model group. ConclusionVerbenalin can enhance the survival rate of macrophages following HCoV-229E infection. The underlying mechanism may be associated with the activation of mitophagy， maintenance of MMP stability， and alleviation of mitochondrial damage.

Objective To develop predictive models based on decision tree and logistic regression algo-rithms for pulmonary multidrug-resistant organism(MDRO)infection risk in intensive care unit(ICU)pa-tients,and compare their predictive performance to provide references for pulmonary MDRO infection preven-tion.Methods A total of 350 ICU patients admitted to the hospital from January 2021 to December 2023 were enrolled and divided into an infection group(n=52)and a non-infection group(n=298)based on the pres-ence of pulmonary MDRO infection.Clinical data from both groups were collected and analyzed to identify risk factors for pulmonary MDRO infection in ICU patients.Using the risk of pulmonary MDRO infection in ICU patients as the dependent variable and the indicators with statistically significant differences in univariate anal-ysis as the independent variables,predictive models for pulmonary MDRO infection risk were developed by u-sing decision tree algorithms and logistic regression analysis.The predictive performance of these two models was compared.Results There were statistically significant differences(P＜0.05)between the infection and non-infection groups in terms of age,history of diabetes,hospital stay≥2 weeks,indwelling urinary catheter,chlorine dioxide disinfection,prolonged bedridden status,and disturbance of consciousness.Logistic regression analysis with pulmonary MDRO infection risk in ICU patients as the dependent variable showed that age ≥60 years,indwelling catheter,hypoproteinemia,and disturbance of consciousness were risk factors for pulmonary MDRO infection in ICU patients,while chlorine dioxide disinfection was a protective factor.Based on these risk factors and regression coefficients,the original warning model was established as:logit(P 1)=0.856 × age+0.928 × indwelling catheter+0.916 × chlorine dioxide disinfection+0.866× hypoproteinemia+0.986 × disturbance of consciousness-4.371.The Hosmer-Lemeshow test indicated good model fit(coefficient of de-termination R2=0.579,P=0.531).The decision tree model for pulmonary MDRO infection risk in ICU pa-tients constructed using decision tree algorithm comprised 4 layers and 9 nodes,selecting four clinical features as nodes:presence of consciousness disturbance,indwelling catheter,hypoproteinemia,and age≥60 years,with consciousness disturbance being the most significant predictor.The decision tree model showed an area under the curve(AUC)of 0.892(95％CI:0.835-0.949)on receiver operating characteristic(ROC)analy-sis,compared to 0.862(95％CI:0.812-0.912)for the logistic regression model.Delong test revealed no sig-nificant difference in predictive performance between the two models(Z=1.148,P=0.095).Conclusion Both the decision tree model and logistic regression model established for predicting the risk of pulmonary MDRO infection in ICU patients demonstrate high predictive performance with comparable efficacy.