This study aims to comprehensively analyze the material basis of toad visceral oil(hereafter referred to as toad oil), and explore the pharmacological effect of toad oil on atopic dermatitis(AD). Ultra-high performance liquid chromatography-linear ion trap/orbitrap high-resolution mass spectrometry(UHPLC-LTQ-Orbitrap-MS) and gas chromatography-mass spectrometry(GC-MS) were employed to comprehensively identify the chemical components in toad oil. The animal model of AD was prepared by the hapten stimulation method. The modeled animals were respectively administrated with positive drug(0.1% hydrocortisone butyrate cream) and low-and high-doses(1%, 10%) of toad oil by gavage. The effect of toad oil on AD was evaluated with the AD score, ear swelling rate, spleen index, and pathological section results as indicators. A total of 99 components were identified by UHPLC-LTQ-Orbitrap-MS, including 14 bufadienolides, 7 fatty acids, 6 alkaloids, 10 ketones, 18 amides, and other compounds. After methylation of toad oil samples, a total of 20 compounds were identified by GC-MS. Compared with the model group, the low-and high-dose toad oil groups showed declined AD score, ear swelling rate, and spleen index, alleviated skin lesions, and reduced infiltrating mast cells. This study comprehensively analyzes the chemical composition and clarifies the material basis of toad oil. Meanwhile, this study proves that toad oil has a good therapeutic effect on AD and is a reserve resource of traditional Chinese medicine for external use in the treatment of AD.
Animals ; Dermatitis, Atopic/immunology* ; Disease Models, Animal ; Mice ; Male ; Gas Chromatography-Mass Spectrometry ; Humans ; Bufonidae ; Oils/administration & dosage* ; Chromatography, High Pressure Liquid ; Female ; Mice, Inbred BALB C

Neuropathic pain, a debilitating condition caused by dysfunction of the somatosensory nervous system, remains difficult to treat due to limited understanding of its molecular mechanisms. Bioinformatics analysis identified cerebellin 2 (CBLN2) as highly enriched in human and murine proprioceptive and nociceptive neurons. We found that CBLN2 expression is persistently upregulated in dorsal root ganglia (DRG) following spinal nerve ligation (SNL) in mice. In addition, transcription factor SOX11 binds to 12 cis-regulatory elements within the Cbln2 promoter to enhance its transcription. SNL also induced SOX11 upregulation, with SOX11 and CBLN2 co-localized in nociceptive neurons. The siRNA-mediated knockdown of Sox11 or Cbln2 attenuated SNL-induced mechanical allodynia and thermal hyperalgesia. High-throughput sequencing of DRG following intrathecal injection of CBLN2 revealed widespread gene expression changes, including upregulation of numerous NF-κB downstream targets. Consistently, CBLN2 activated NF-κB signaling, and inhibition with pyrrolidine dithiocarbamate reduced CBLN2-induced pain hypersensitivity, proinflammatory cytokines and chemokines production, and neuronal hyperexcitability. Together, these findings identified the SOX11/CBLN2/NF-κB axis as a critical mediator of neuropathic pain and a promising target for therapeutic intervention.
Animals ; Neuralgia/metabolism* ; Ganglia, Spinal/metabolism* ; Up-Regulation ; Mice ; NF-kappa B/metabolism* ; SOXC Transcription Factors/genetics* ; Male ; Neuroinflammatory Diseases/metabolism* ; Mice, Inbred C57BL ; Nerve Tissue Proteins/genetics* ; Hyperalgesia/metabolism* ; Signal Transduction ; Spinal Nerves

Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.

This study aims to reveal the endogenous metabolic characteristics of acteoside in the young rat model of purinomycin aminonucleoside nephropathy(PAN) by non-targeted urine metabolomics and decipher the potential mechanism of action. Biochemical indicators in the urine of rats from each group were determined by an automatic biochemical analyzer. The potential biomarkers and related core metabolic pathways were identified by ultra-high performance liquid chromatography coupled with linear ion trap-Orbitrap mass spectrometry(UHPLC-LTQ-Orbitrap MS) combined with principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA). MetaboAnalyst 5.0 was used to establish the receiver operating characteristic(ROC) curve for evaluating the clinical diagnostic performance of core metabolites. The results showed that acteoside significantly decreased urinary protein-to-creatinine ratio in PAN young rats. A total of 17 differential metabolites were screened out by non-targeted urine metabolomics in PAN young rats and they were involved in phenylalanine metabolism and phenylalanine, tyrosine and tryptophan biosynthesis. Thirtten differential metabolites were screened by acteoside intervention in PAN young rats, and they were involved in phenylalanine metabolism and arginine and proline metabolism. Among them, leucylproline and acetophenone were the differential metabolites that were significantly recovered after acteoside treatment. These pathways suggest that acteoside treats PAN in young rats by regulating amino acid metabolism. The area under the curve of two core biomarkers, leucylproline and acetophenone, were both greater than 0.9. In summary, acteoside may restore amino acid metabolism by regulating endogenous differential metabolites in PAN young rats, which will help to clarify the mechanism of acteoside in treating chronic glomerulonephritis in children. The characteristic biomarkers screened out have a high diagnostic value for evaluating the treatment of chronic glomerulonephritis in children with acteoside.
Humans ; Child ; Rats ; Animals ; Puromycin Aminonucleoside ; Metabolomics/methods* ; Biomarkers/urine* ; Chromatography, High Pressure Liquid/methods* ; Acetophenones ; Glomerulonephritis ; Phenylalanine ; Amino Acids

This study comprehensively analyzed the active components of Sanhan Huashi Formula using qualitative and quantitative mass spectrometry techniques, laying the foundation for understanding its pharmacological substance basis. UHPLC-LTQ-Orbitrap-MS and GC-MS technologies were used to analyze and identify the volatile and non-volatile components in Sanhan Huashi Formula. UHPLC-QQQ-MS/MS technology was used to simultaneously determine the content of 27 major active components in the formula. The results showed that 308 major chemical components were identified in Sanhan Huashi Formula, among which 60 compounds were identified by comparing with reference standards, mainly including alkaloids, flavonoids, coumarins, triterpenoid saponins, amino acids, and nucleosides. GC-MS technology preliminarily identified 52 volatile compounds, with γ-eudesmol and β-eudesmol as the main components. The quantitative results demonstrated good linearity(r>0.99) for the 27 active components, indicating the stability, simplicity, and reliability of the established method. Among them, amygdalin, nodakenin, arecoline, ephedrine, and pseudoephedrine had relatively high content and were presumably the main pharmacologically active substances. In conclusion, this study systematically and comprehensively characterized the major chemical components and patterns in Sanhan Huashi Formula, providing a basis for understanding its pharmacological mechanisms and clinical applications.
Tandem Mass Spectrometry ; Chromatography, High Pressure Liquid ; Gas Chromatography-Mass Spectrometry ; Reproducibility of Results ; Drugs, Chinese Herbal/chemistry*

Electronic tongue is one kind of bionic detection technologies, which can objectively reflect the taste of drugs based on electrochemical principle. In this paper, the development histories of electronic tongue both of potential type and voltammetry type were introduced, including their detection principles and key innovation technologies. In order to comprehensively improve the understanding of electronic tongue, its technological progresses, such as the study of dedicated sensors or biosensors for specific tastes, and the development of miniaturized or hybrid devices, were also discussed in detail. And the challenges and countermeasures in the application of electronic tongue were analyzed to provide some suggestions for its further technology promotion.

Humans ; Multiple Myeloma/drug therapy* ; Feasibility Studies ; Antibodies, Monoclonal/adverse effects* ; Dexamethasone/therapeutic use* ; Antineoplastic Combined Chemotherapy Protocols

Blood loss and blood transfusion requirement are important quality control indicators of cardiovascular surgery and cardiovascular anesthesia. Patient blood management (PBM) is an evidence-based, multidisciplinary approach to optimizing the care of patients who may need transfusion, which encompasses anemia management, hemodilution, cell salvage, hemostatic treatment, and other approaches to reducing bleeding and minimizing blood transfusion. PBM in cardiovascular surgery is a "team sport" that involves cardiac and vascular surgeons, anesthesiologists, perfusionist, intensivists, and other health care providers. The current work provides an overview of evidence and practice of PBM at Fuwai Hospital. Implementation of PBM should also take local resource availability and cost-effectiveness of different devices, drugs, technologies, and techniques into consideration.
Humans ; Blood Transfusion/methods* ; Anemia/therapy* ; Hemorrhage ; Hospitals ; Blood Loss, Surgical

OBJECTIVE: To select variables related to mortality risk of stroke patients in intensive care unit (ICU) through long short-term memory (LSTM) with attention mechanisms and Logistic regression with L1 norm, and to construct mortality risk prediction model based on conventional Logistic regression with important variables selected from the two models and to evaluate the model performance. METHODS: Medical Information Mart for Intensive Care (MIMIC)-Ⅳ database was retrospectively analyzed and the patients who were primarily diagnosed with stroke were selected as study population. The outcome was defined as whether the patient died in hospital after admission. Candidate predictors included demogra-phic information, complications, laboratory tests and vital signs in the initial 48 h after ICU admission. The data were randomly divided into a training set and a test set for ten times at a ratio of 8 ∶2. In training sets, LSTM with attention mechanisms and Logistic regression with L1 norm were constructed to select important variables. In the test sets, the mean importance of variables of ten times was used as a reference to pick out the top 10 variables in each of the two models, and then these variables were included in conventional Logistic regression to build the final prediction model. Model evaluation was based on the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy. And the model performance was compared with the forward Logistic regression model which hadn't conducted variable selection previously. RESULTS: A total of 2 755 patients with 2 979 ICU admission records were included in the analysis, of which 526 recorded deaths. The AUC of Logistic regression model with L1 norm was statistically better than that of LSTM with attention mechanisms (0.819±0.031 vs. 0.760±0.018, P < 0.001). Age, blood glucose, and blood urea nitrogen were at the top ten important variables in both of the two models. AUC, sensitivity, specificity, and accuracy of Logistic regression models were 0.85, 85.98%, 71.74% and 74.26%, respectively. And the final prediction model was superior to forward Logistic regression model. CONCLUSION The variables selected by Logistic regression with L1 norm and LSTM with attention mechanisms had good prediction performance, which showed important implications on the mortality prediction of stroke patients in ICU.
Critical Care ; Humans ; Intensive Care Units ; Logistic Models ; Memory, Short-Term ; Prognosis ; ROC Curve ; Retrospective Studies ; Stroke