Animal experimentation constitutes a critical link between basic research and clinical application, making its research quality and translational efficiency paramount. Although considerable progress has been made in standardizing operational procedures and ethical guidelines, the standardization of outcome evaluation systems has significantly lagged, creating a key bottleneck that constrains the quality of biomedical research and evidence synthesis. This deficiency is manifested by pronounced heterogeneity in outcome selection across similar studies, incomplete methodological reporting, and disparate criteria for result interpretation, which severely impairs the comparability of findings and the evidence integration. To cope with this challenge, this paper systematically introduces a mature methodological tool from clinical research–the core outcome set (COS)–and explores its construction strategies and application potential in the field of animal experimentation. Given the extensive diversity of animal experiments, a pragmatic strategy of "focusing on key areas, implementing phased pilots, and promoting gradual expansion" should be adopted. This approach prioritizes the development of domain-specific COS for disease areas characterized by high research volume, urgent translational needs, and well-established animal models. A multi-source integration pathway for COS development is detailed, comprising systematic literature searches, methodological appraisals, and expert consensus, with the feasibility of leveraging artificial intelligence (AI) to enhance efficiency also being examined. The development and promotion of such COS are not intended to restrict scientific exploration; rather, they aim to establish a new, tiered evaluation paradigm consisting of "core outcomes" (mandatory), "recommended outcomes" (encouraged), and "exploratory outcomes" (optional). This framework is expected not only to enhance research quality through standardization and to adhere to the "3R" principles but also to accelerate the accumulation of high-quality evidence. This, in turn, provides a solid foundation for higher-level evidence synthesis, ultimately facilitating the effective translation of basic research findings into clinical practice and providing an essential methodological framework for scientific advancement in relevant disciplines.

ObjectiveTo evaluate the detection specificity for clinical samples and the detection capability for standard substances of five commercially available multiplex polymerase chain reaction (PCR) nucleic acid detection kits (hereinafter referred to as the kits) for respiratory pathogens, and to provide a reference for selecting appropriate detection kits for multi-pathogen nucleic acid testing of respiratory infections. MethodsA total of 60 respiratory pathogen-positive clinical samples with known redults were selected and tested using the five kits (labeled as A, B, C, D, and E). The detection rates and Kappa coefficients were calculated to evaluate the consistency between the results from these kits and those from single-pathogen PCR kits. According to the limit of detection (LOD) provided by the kits, standard substances of respiratory pathogens (including 12 types such as influenza virus, Mycoplasma pneumoniae, and Bordetella pertussis) were diluted to four concentrations (250, 500, 1 000, and 2 000 copies·mL⁻¹). All five kits were used for detection to evaluate their respective detection capabilities. ResultsCompared with the results from single-pathogen PCR kits, the five tested kits demonstrated good consistency (all Kappa >0.80). Among them, Kit A had the highest detection rate (100.00%), followed by Kits C and E (98.33%), and then Kits B and D (95.00%). All five kits showed a relatively low false negative rate (FNR) for samples with a cycle threshold (Ct) value ≤35 (≤2.38%). However, for samples with Ct values>35, the FNR increased accordingly(average FNR=6.67%, P=0.029). Kit C exhibited the highest detection sensitivity for the tested standard substances (average LOD: 458.33 copies·mL⁻¹), followed by Kit D, then Kits A/E, and finally Kit B. ConclusionThe five multiplex PCR kits showed good consistency with single-pathogen detection results, but each had its own performance emphasis. Kit A, with the highest detection rate and high throughput, is suitable for targeted viral screening. Kit B, covering the broadest pathogen spectrum (including fungi/bacteria), is suitable for comprehensive respiratory pathogen screening. Kits C, D and E, are applicable for rapid detection. It is important to note that the detection efficacy of all kits decreases for low viral load samples with Ct values >35. In practical application, selection should be based on specific screening objectives, throughput requirements, and sample types.

A 51-year-old male presented with nasal obstruction, followed by progressive hearing loss and blurred vision. Imaging identified space-occupying lesions in the paranasal sinuses, orbits, and paraspinal regions, while laboratory tests confirmed positive anti-proteinase 3 anti-neutrophil cytoplasmic antibody(PR3- ANCA) immunoglobulin G (IgG)and markedly elevated serum IgG4. Despite treatment with corticosteroids, immunosuppressants, and radiotherapy, the patient exhibited steroid dependency with relentless disease progression. Following multidisciplinary consultation, a diagnosis of inflammatory myofibroblastic tumor (IMT) coexisting with ANCA- associated vasculitis (AAV) was favored, though IgG4-related disease remained a critical differential. Ultimately, profound immunosuppression precipitated a severe herpesvirus infection, leading to disseminated intravascular coagulation and multiple organ dysfunction syndrome. This case underscores the rarity and diagnostic complexity of concurrent IMT and AAV, highlights the therapeutic dilemma of balancing primary disease control against fatal opportunistic infections, and emphasizes the critical role of multidisciplinary collaboration in the diagnosis and treatment of complex diseases.

Tuberous sclerosis complex (TSC) is an autosomal dominant genetic disorder primarily caused by pathogenic variants in the TSC1 or TSC2 genes. It is characterized by multisystem hamartomatous lesions and neuropsychiatric manifestations. Here we report a young male patient with TSC involving multiple organs, caused by a heterozygous frameshift mutation in TSC2 (c.2071delC, p.Arg691Alafs^*7). The patient initially presented with classic facial angiofibromas and hypomelanotic macules, and subsequently developed psychiatric and behavioral disturbances with auditory hallucinations. Neuroimaging revealed an intracranial mass lesion, which was confirmed as a subependymal giant cell astrocytoma on postoperative histopathology following surgery performed at an outside institution. After admission, the patient underwent a comprehensive diagnostic workup, and multidisciplinary treatment evaluation revealed extensive multisystem involve-ment, including the nervous system, skin, kidneys, lungs, heart, eyes, pancreas, liver and bones. Combined with relevant literature, this article discusses the molecular mechanisms, clinical phenotypes, and comprehensive management of TSC, in order to provide a reference for the standardized and individualized management of this disease.

Objective: To compare the in vitro quality differences of leukoreduced pooled concentrated platelets prepared from whole blood preserved at different temperatures and for various durations, determine the safe time window for refrigerated whole blood in platelet preparation, and provide experimental evidence for optimizing blood component preparation procedures and improving the comprehensive utilization rate of blood resources. Methods: A total of 324 units of 400 mL ACD-B anticoagulated whole blood were randomly divided into two groups and stored at 4℃ and 22℃, respectively. The buffy coat was separated at three time intervals: <6 h, 6-12 h, and >12 h (≤18 h) post-collection, and allowed to rest overnight at 22℃. On the following day, the buffy coats from each group were pooled to prepare leukoreduced pooled platelet concentrates (LPPCs). Cell counts were performed, and metabolic parameters including pH, glucose, and lactate levels were measured to evaluate metabolic status. Platelet in vitro function and activation were assessed by thromboelastography (TEG), platelet aggregation rate, and the expression of PAC-1 and CD62P. The differences between the two groups were compared. Results: For pooled concentrated platelets prepared from whole blood stored at 4℃ and 22℃ for <6 h and 6-12 h, there were no significant differences in platelet count, pH, glucose levels, lactic acid levels, thromboelastography (TEG), platelet aggregation rate, or platelet activation rate (P>0.05). With prolonged refrigeration time of whole blood, compared with pooled concentrated platelets prepared from whole blood stored at 22℃ for >12 h but ≤18 h, those prepared from whole blood stored at 4℃ for >12 h but ≤18 h showed a decreased platelet count (1 152.83±180.08 vs 1 368.83±134.86, P=0.040), a significantly increased ADP-induced aggregation rate (26.82±6.59 vs 13.88±10.21, P=0.030), and significantly elevated expression rates of PAC-1 and CD62P (72.64±6.74 vs 63.28±5.97, P=0.030). However, there were no significant differences in pH, glucose content, lactate content, or thromboelastography (P>0.05). Conclusion: There was no significant difference in the in vitro count, function, or activation of pooled concentrated platelets prepared from whole blood stored at 4℃ and 22℃ within 12 hours. However, statistically significant differences were observed between the mixed concentrated platelets prepared from whole blood stored at 4℃ and those stored at 22℃ for more than 12 hours but not exceeding 18 hours. These findings can provide a reference for the preparation methods and clinical application of refrigerated platelets.

Objectives: . This study aimed to investigate the regulatory functions of gamma-aminobutyric acid (GABA)ergic neural circuits from the inferior colliculus (IC) to the medial geniculate body (MGB) in salicylate-induced tinnitus. Methods: . Mice were treated with salicylate to induce tinnitus, and tinnitus-like behaviors were evaluated via gap prepulse inhibition of acoustic startle. Using combined viral tracing methodologies, we identified and mapped the pathways and connections from the IC to the MGB. Furthermore, we employed Gq-coupled human M3 designer receptors exclusively activated by designer drugs (DREADDs) and Gi-coupled human M4 DREADDs to achieve targeted excitation or suppression of GABAergic neurons in the IC and MGB. Following the administration of clozapine N-oxide, which binds to these receptors, we modulated these neural circuits to assess their impact on tinnitus severity in a mouse model. Results: . Our findings demonstrated that mice exposed to salicylate exhibited tinnitus-like behaviors. GABAergic neurons projecting retrogradely from the MGB to the IC were primarily concentrated in the external nucleus of the IC. After clozapine N-oxide administration, chemogenetic activation of IC-MGB GABAergic neurons aggravated salicylate-induced tinnitus. Additionally, activation of GABAergic neurons between the IC and MGB induced the perception of tinnitus even without salicylate. However, chemogenetic inhibition of the IC-MGB GABAergic circuit did not reverse salicylate-induced tinnitus. Conclusion . These findings suggest that activation of the IC-MGB GABAergic neural circuit may contribute to tinnitus generation through a mechanism distinct from that of salicylate-induced tinnitus. This study provides novel insights into the mechanisms underlying tinnitus.

To address the challenges of fragmented data, inconsistent standards, and delayed feedback in the full-cycle competency development process at teaching hospitals, this paper proposes the LEADS data governance system for Precision Medical Education (LEADS-PME), drawing on the practical experience of building the integrated medical education management platform at Zhongshan Hospital, Fudan University. The LEADS-PME framework comprises five interconnected core components: Longitudinal foundation, Evidence-chain generation, Analytics and profiling, Decision-support and prediction, and Simulation and digital-twin governance. Currently, Zhongshan Hospital has established a full-cycle educational data infrastructure and achieved multi-system data integration and competency-based profiling and evaluation, while the prediction and simulation modules are still in the prototype exploration phase. A mixed-methods evaluation will be subsequently conducted from the perspectives of data quality, management effectiveness, and predictive intervention. As a locally adapted framework, LEADS-PME can transform operational data derived from clinical practice, teaching, assessment, and management processes into traceable, interpretable, and reusable evidence of competency development. It is expected to facilitate the transformation of medical education management from a outcome-oriented approach to process monitoring, evidence-driven decision-making, and precision governance, thereby providing both a theoretical framework and practical reference for precision medical education in Chinese teaching hospitals.

Objective:To explore the molecular mechanism of TCM compound Shengxue Tongbian Granules in improving intestinal injury in septic rats through bioinformatics and experimental validation methods.Methods:The GSE131761 gene set was processed by bioinformatics to screen differential genes, then weighted gene co-expression network analysis (WGCNA) was applied to screen modular genes. The intersection of modular genes and differential genes was taken, and finally, the least absolute shrinkage and selection operator (LASSO) technique was applied to further obtain the key targets of sepsis, which was validated by experiments. Totally 72 SD rats were divided into sham-operation group, model group, dexamethasone group (0.15 mg/kg), Shengxue Tongbian Granules low- (0.3 g/kg), medium- (0.6 g/kg), and high-dosage (1.2 g/kg) groups, with 12 rats in each group. Corresponding drug interventions were administered to each treatment group before and 12 hours after modeling. The sham-operation group and the model group were gavaged daily with equal amounts of saline. Samples were collected after 24 hours. HE staining was used to detect the pathological morphology of intestinal tissues in each group of rats; ELISA was used to detect the levels of TNF-α, diamine oxidase (DAO), IL-6, IL-10, and myeloperoxidase (MPO) in rat serum. Immunohistochemistry was used to detect the protein expressions of MPO and neutrophil elastase (NE/LANE) in intestinal tissue, and Western blot was used to detect the protein expression of peptidyl arginine deaminase (PAD4) in intestinal tissue.Results:Seven final key genes related to sepsis were selected, namely ANXA3, CYP1B1, FCAR, LILRA5, PADI4, NOV, and S100A12. Experimental results showed that drug administration alleviated intestinal injury; compared with the model group, the levels of TNF-α, IL-6, MPO, and DAO decreased in the Shengxue Tongbian Granules high-dosage group ( P<0.05), the levels of ELANE and MPO were reduced in Shengxue Tongbian Granules low-, medium-, and high-dosage groups ( P<0.05), and PAD4 expression was reduced in the Shengxue Tongbian Granules high-dosage group ( P<0.05). Conclusion:Shengxue Tongbian Granules can improve the intestinal injury of septic rats, and the mechanism may be related to the inhibition of PAD4-mediated formation of NETs and the improvement of inflammatory response.

Objective To investigate the diagnostic value of electromyographic(EMG)tremor indicators for Parkinson's disease(PD)using the Logistic regression model.Methods A total of 65 patients with PD(PD group)and 39 patients with essential tremor(ET)(ET group)were enrolled and underwent EMG tremor analysis.General information,disease-related data,and EMG tremor characteristics were compared between the two groups.Multivariate Logistic regression analysis was performed to screen for independent influencing factors of PD,and receiver operating characteristic(ROC)curves were plotted.The area under the curve(AUC)was used to evaluate the diagnostic value of EMG tremor indicators for PD.Results Compared with the ET group,the PD group had a higher proportion of patients with unilateral onset and those with tremor spectrum frequency≥2 times,and a lower proportion of patients with a family history of tremor(P＜0.05).The tremor peak frequencies in the resting,postural,and weight-bearing(1 000 g)states were lower in the PD group than in the ET group(P＜0.05).There were statistically significant differences in the tremor rhythm patterns between the two groups in the resting and weight-bearing states(P＜0.05),with the PD group dominated by alternating contraction patterns and the ET group by synchronous contraction pat-terns.Multivariate Logistic regression analysis revealed that the tremor peak frequency in the weight-bearing state,the tremor rhythm pattern in the resting state,and the frequency of tremor spectrum were independent influencing factors of PD(P＜0.05).The ROC curves showed that the AUCs of the tremor peak frequency in the weight-bearing state,the tremor rhythm pattern in the resting state,and the frequency of tremor spectrum for diagnosing PD were 0.886,0.750,and 0.779,respec-tively.The combination of these three indicators yielded the highest AUC(0.936)for diagnosing PD,with a sensitivity of 81.54％and a specificity of 94.87％.Conclusion The tremor peak fre-quency in the weight-bearing state,the tremor rhythm pattern in the resting state,and the frequency of tremor spectrum provided by EMG tremor analysis can serve as clinical indicators for early diagno-sis of PD,and their combined use offers higher diagnostic value,which can be used to differentiate PD from ET.

Objective To construct a hybrid decision-making model that integrates knowledge-driven and data-driven approaches,and to apply it to the etiological diagnosis of ventricular tachycardia(VT).Methods Clinical practice guidelines,expert consensus documents,and medical literature in the field of ar-rhythmia diseases from 2018 to 2023 were retrieved as knowledge sources.Retrospective electronic medical re-cord data of VT patients from Fuwai Hospital,Chinese Academy of Medical Sciences & Peking Union Medical College,from 2013 to 2023 were collected as the dataset.A knowledge-driven model was constructed using a knowledge-rule-based approach to establish clinical pathways.A three-class machine learning model for VT eti-ology diagnosis was developed based on real-world data,and the best-performing model was selected as the rep-resentative of the data-driven approach.The machine learning model was embedded into the decision nodes of the clinical pathway in the form of custom operators,forming the hybrid model.The precision,recall,and F1 score of the three models were evaluated.Results Three clinical practice guidelines were included as knowl-edge sources for the knowledge-driven model.A total of 1305 patient records were collected as the dataset,and five machine learning models were constructed,with the XGBoost model performing the best.The hybrid model adopted a knowledge-driven decision-making framework,embedding the XGBoost model into the decision nodes of a two-level classification.The precision,recall,and F1 scores of the three models were as follows:the knowledge-driven model achieved 80.4％,79.1％,and 79.7％;the data-driven model achieved 88.4％,88.5％,and 88.4％;and the hybrid model achieved 90.4％,90.2％,and 90.3％.Conclusions The hybrid model integrating knowledge-driven and data-driven approaches demonstrated higher accuracy,and all its deci-sion outcomes were based on evidence-based practices,aligning more closely with the actual diagnostic reason-ing of clinicians.Further rigorous validation is needed to assess the feasibility of widely applying the hybrid model in the medical field.