OBJECTIVE To comprehensively evaluate the quality of adverse drug reaction （ADR） reports in clinical departments or ward （hereinafter referred to as “department”） based on game theory combinatorial weighting-technique for order preference by similarity to ideal solution （TOPSIS）-rank-sum ratio （RSR） method， providing a reference for the further standardization of ADR reporting. METHODS Based on relevant documents and scoring criteria， the ADR report quality evaluation standards previously developed by our team were modified. Using game theory principles， the fusion of subjective and objective weights for each indicator was determined. A game theory combinatorial weighting-TOPSIS-RSR model was developed to evaluate and categorize the quality of raw ADR reports submitted by departments to the pharmacy department at Bozhou Hospital of Anhui Medical University. RESULTS A total of 222 ADR reports from 23 departments were included. The game theory combinatorial weighting method identifies weak points in management， such as ADR symptoms and signs， the description of underlying diseases， timing of ADR， by optimizing the weightings of the indicators. The TOPSIS-RSR method calculates that the mean relative closeness of the departments was 0.401 7， indicating that the overall report quality ranged from moderate to substandard. 20095） Three departments， including neurosurgery， demonstrated medium reporting quality [estinate closeness （Ĉ）i ≥0.506]， while two departments， such as the respiratory department，were rated as unqualified （Ĉi＜0.278）. The remaining departments were all deemed qualified （0.278≤ Ĉi＜0.506）. CONCLUSIONS The developed game theory combinatorial weighting-TOPSIS-RSR method provides an effective approach for the quality evaluation of ADR reports， which not only balances subjective and objective weights but also facilitates comparisons among different departments. There is still room for improvement in the ADR report quality at the hospital.

Traumatic brain injury (TBI), as a significant central nervous system damage disease with high frequency in the world, leads to a huge number of patients with impaired health and lower quality of life every year. Lung injury is a common and dangerous consequence, which dramatically raises the mortality of patients. Discovering the pathophysiology of lung injury after TBI and discovering viable therapeutic targets has become an important need for clinical diagnosis and therapy. Neurotransmitters, as the fundamental chemical agents of the nervous system for signal transmission, not only govern neuronal activity and apoptosis in TBI but also significantly influence the pathophysiological mechanisms of lung injury subsequent to TBI. The imbalance is intricately linked to the onset and progression of lung damage. This paper systematically reviews the clinical characteristics and predominant pathogenesis of lung injury following TBI, emphasizing the role of key neurotransmitters, including glutamate (Glu), γ-aminobutyric acid (GABA), norepinephrine (NE), dopamine (DA), and acetylcholine (ACh), in lung injury post-TBI. It examines their influence on inflammatory response, vascular permeability, and pulmonary circulation function. Additionally, the paper evaluates the research advancements and potential applications of targeted therapeutic strategies for various neurotransmitter systems, such as receptor antagonists, transporter inhibitors, and neurotransmitter analogues. This research aims to offer a theoretical framework for clarifying the neural regulatory mechanisms of lung injury following TBI and to establish a basis for the development of novel therapeutic strategies and enhancement of the prognosis of the patients.
Humans ; Brain Injuries, Traumatic/metabolism* ; Neurotransmitter Agents/metabolism* ; Lung Injury/metabolism* ; gamma-Aminobutyric Acid/metabolism* ; Glutamic Acid/metabolism* ; Norepinephrine/metabolism* ; Dopamine/metabolism* ; Acetylcholine/metabolism*

Objective: To investigate the potential mechanisms of Xanthatin in inhibiting the proliferation of laryngeal squamous cell carcinoma(LSCC) cells by integrating network pharmacology and in vitro experiments. Methods: The targets of Xanthatin were identified using databases such as PharmMapper, while disease-related targets for LSCC were obtained from databases such as DisGeNET. The overlapping targets between Xanthatin and LSCC were determined by intersecting these datasets. A protein-protein interaction(PPI) network was constructed based on the overlapping targets, and key targets were identified. Gene ontology(GO) and Kyoto encyclopedia of genes and genomes(KEGG) enrichment analyses of the overlapping targets were performed using R software. A "Xanthatin-target-pathway" network was visualized using Cytoscape 3.8.0 software. The preliminary validation of the aforementioned results was performed using molecular docking and transcriptomics. The effects of Xanthatin on the proliferation of TU177 cells were assessed using CCK-8 and colony formation assays. Additionally, Western blot analysis was employed to measure the expression levels of PI3K, p-PI3K, Akt, and p-Akt proteins. Results: A total of 159 overlapping targets between Xanthatin and LSCC were identified, and seven key targets, including AKT1, were screened. GO enrichment analysis yielded 2 455 entries, and KEGG enrichment analysis identified 172 pathways, such as the PI3K-Akt signaling pathway. Xanthatin exhibited favorable binding activity with the core target proteins of LSCC in molecular docking experiments. The transcriptomics results showed high consistency with the predictions from network pharmacology. CCK-8 and colony formation assays demonstrated that Xanthatin at concentrations of 1, 2, and 4 μmol/L significantly inhibited the proliferation of TU177 cells in a dose-dependent manner. The expression levels of p-PI3K and p-Akt proteins decreased with increasing concentrations of Xanthatin. Conclusion Xanthatin may exert an inhibitory effect on the proliferation of LSCC cells by modulating the PI3K-Akt signaling pathway.

The call of the times to"promote education informatization towards a new journey"has posed new challenges to edu-cation,and the education industry should be committed to modernizing education through education informatization.In recent years,online teaching has become the norm.In this context,our teaching team introduced short video teaching into teaching innovation to spread Animal Immunology knowledge.Animation and ideological and political elements were integrated into each video,making knowledge points from"abstract"to"concrete",which stimulated students'interest in learning and cultivate the quality of rigorous scholarship and moral cultivation.The short video comment area has become a medium for interaction between teachers and students.The real-time feedback of the data platform provides a reference for the optimization and design of teaching content.The short video teaching practice effectively solves the"pain points"in traditional teaching and makes the obscure animal immunology knowledge more understandable.Students have increased their interest in learning,using fragmented time to actively acquire knowledge,achieving the effect of improving the teaching quality of animal immunology through online teaching resources.