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.

This article reports a rare case of autoinflammatory disease presenting initially with skin induration and swelling after trauma as the initial manifestation, followed by progressive limb weakness. The patient was a middle-aged female who developed skin induration and swelling after trauma, which gradually progressed to limb weakness, dysarthria and bilateral facial paralysis, accompanied by livedo reticularis of the lower extremities, diffuse skin induration of the limbs, and beaded subcutaneous nodules in the right upper limb. The patient had a susceptibility to infection since childhood and a history of chronic livedo reticularis. Skin pathological examination revealed panniculitis. A comprehensive etiological screening for special infections and autoimmune diseases was completed with an unremarkable results, and whole-exome sequencing showed no abnormal findings. Following a multidisciplinary discussion combined with RNA sequencing results, the patient was diagnosed with an autoinflammatory disease, with a suspected type Ⅰ interferonopathy. Treatment with tofacitinib resulted in gradual improvement of clinical symptoms. This case highlights the importance of detailed medical history collection, systematic physical examination and multidisciplinary collaborative diagnosis and treatment, and underscores the pivotal role of molecular diagnosis in the confirmation of rare diseases. It can provide a reference for the clinical diagnosis and management of similar rare cases.

ObjectiveStroke poses a heavy burden due to its high mortality and morbidity rates. Accurate and real-time detection of lesions is pivotal for prompt clinical intervention and favorable prognosis. Electrical impedance tomography (EIT) and microwave tomography (MWT) have emerged as compelling alternatives for stroke screening, owing to their non-ionizing, non-invasive and portable nature. EIT provides information on tissue conductivity, and MWT offers high sensitivity to changes in dielectric properties. However, single-modality imaging is inherently limited, EIT suffers from low sensitivity to deep-seated tissues and severe ill-posedness of inverse problems, whereas MWT is challenged by strong nonlinearity in inverse scattering and susceptibility to modeling errors. Consequently, the clinical utility of standalone EIT or MWT for stroke diagnosis remains constrained by poor spatial resolution and imaging artifacts. To improve the accuracy and robustness of stroke imaging, a dual-modality fusion conditional denoising diffusion probabilistic model (DM-DDPM) was proposed for high-precision dual-modality image reconstruction. MethodsA dual-encoder network with a symmetric architecture and independently trained parameters was constructed to extract heterogeneous features separately from EIT boundary voltage measurements and MWT scattered field signals. Attentional feature fusion (AFF) is employed to integrate complementary information from the two modalities adaptively, generating robust fused priors that suppress redundant noise while preserving key physical characteristics. Subsequently, the fused priors are embedded into a Transformer-based diffusion model via a cross attention mechanism to guide the reverse denoising process. This approach effectively reduces artifacts and enhances the stability of conductivity distribution reconstruction. Time step embedding is introduced to enable the network to perceive the diffusion stage and further improve the accuracy of noise prediction. ResultsSimulated experiments demonstrated that DM-DDPM significantly outperforms single-modality and multi-modality networks under various noise levels. A head model simulation dataset was constructed based on COMSOL Multiphysics, and tests were carried out under 50 dB, 40 dB and 30 dB signal-to-noise ratio levels. At 30 dB, the average relative error (RE) was below 0.20, while the structural similarity index measure (SSIM) and correlation coefficient (CC) remained above 0.90 and 0.89, respectively. Compared with single-modality and multi-modality networks, artifacts were significantly reduced, lesion edges were clearer, and localization was more accurate. The model maintains high reconstruction quality and strong robustness for single, double, and triple lesions simultaneously. Furthermore, physical experiments were conducted using a 16-electrode EIT system and a 16-antenna MWT system with asynchronous data acquisition. These experiments confirmed the feasibility of the method in real-world scenarios and demonstrated that it can robustly reconstruct simulated lesions despite environmental interference and measurement noise, validating its reliability for practical clinical applications. ConclusionThe proposed method effectively combines complementary dual-modality information with a conditional diffusion model. Low accuracy and poor noise resistance in single-modality imaging were effectively addressed, while the noise amplification issue caused by direct multimodal data fusion was avoided. The proposed algorithm exhibits strong anti-noise interference ability and high imaging stability in both simulation and physical experiments. Precise localization of stroke lesions with different quantities was achieved, providing a high-precision, and practical technical support for clinical stroke detection.

Objective:The relationship between benign prostatic hyperplasia(BPH)and the oxidative balance score(OBS)will be discussed in this study.Methods:The clinical data on 16 dimensions of diet and 4 dimensions of lifestyle from the National Health and Nutrition Examination Survey(NHANES)from 2001 to 2008 were used to calculate OBS.We considered BPH as the out-come and investigated the linear and nonlinear relationships between the two.Additionally,subgroup analyses and interaction tests were conducted as well.Furthermore,the methods of machine learning including XGBoost,support vector machine(SVM)and naive Bayes(NB)were used to establish a predictive model for BPH.Results:Higher OBS was consistently associated with an increased preva-lence of BPH,with Restricted Cubic Splines highlighting a significant positive nonlinear association(P=0.015).Subgroup analyses revealed differences and interactive relationships based on alcohol consumption.Among the seven machine learning models that we in-cluded the OBS score in,the XGBoost model emerged as the best,with an AUC value of 0.769.Conclusion:There is a significant association between OBS and the prevalence of BPH in the American population,which provides a valuable insight for further diagnosis and research of the disease.

Objective:To explore the effect of recombinant human brain natriuretic peptide(rhBNP)combined with dopamine on cystatin C(CysC),homocysteine(Hcy)and cardiac function in patients with severe heart failure(HF).Methods:This randomized controlled study enrolled 110 severe HF patients admitted in Aerospace Center Hospital between December 2021 and December 2022.They were divided into control group(n=55,nitroglycerin combined dopamine)and combined treatment group(n=55,rhBNP combined dopamine).Each group received corresponding therapy based on basic treatment for one week.Therapeutic effect,levels of CysC,Hcy,left ventric-ular end-systolic diameter(LVESd),left ventricular end-diastolic diameter(LVEDd),left ventricular ejection fraction(LVEF),and incidence of adverse reactions were compared between two groups.Results:Compared with patients in control group,those in combined treatment group had significant higher total effective rate(81.82％vs.58.18％)and LVEF[(54.68±4.59)％vs.(44.79±4.37)％],and significant lower CysC[(1.02±0.19)mg/L vs.(1.40±0.21)mg/L],Hcy[(15.98±2.17)μmol/L vs.(21.05±2.82)μmol/L],LVESd[(35.13±3.51)mm vs.(41.71±3.28)mm]and LVEDd[(41.33±4.26)mm vs.(50.51±4.37)mm](P＜0.01 all).There was no significant difference in total incidence of adverse reactions between two groups(16.36％vs.7.27％,P=0.180).Conclusion:rhBNP combined with dopamine could significantly improve the clinical therapeutic effect,im-prove levels of CysC,Hcy and cardiac function with good safety in the treatment of severe HF.

Vaccine immunization is the most effective and cost-efficient method for infectious disease prevention and control.Since the outbreak of novel coronavirus pneumonia(caused by the novel coronavirus,COVID-19)at the end of 2019,third generation mRNA nucleic acid vaccines has been applied to stop viral spread.mRNA vaccines,rather than relying on the immune activation mode of traditional vaccines,are an innovative breakthrough using the body's own cells to produce antigens,thereby activating double specific immunity,forming immune memory,and providing more lasting specific immunity.Com-pared with the traditional first-generation(inactivated)and second-generation(genetically engineered)vaccines,mRNA vac-cines,because of the advantages provided by this platform,play important roles in the prevention and control of major sudden infectious diseases.Consequently,mRNA vaccines were the world's first COVID-19 vaccines to be applied clinically,thus ser-ving as a barometer in the field of vaccine research and development.Herein,the molecular design and presentation of mRNA vaccines,and the molecular mechanisms of their activation of the immune response are reviewed,to provide a theoretical basis for future application of novel mRNA vaccines in the prevention and control of animal infectious diseases.

The pathological mechanisms and related physiological indicators of acute mountain sickness(AMS)were introduced,and the present situation of wearable devices applied in AMS auxiliary detection and diagnosis were reviewed.The challenges and future development directions of wearable devices applied in auxiliary detection and diagnosis were pointed out.[Chinese Medical Equipment Journal,2025,46(9):100-107]

This article discusses the revision background and core content of 9621 General Requirements for Phar-maceutical Packaging Materials and Containers in the Chinese Pharmacopoeia 2025 Edition.In combination with the requirements of bundling review of pharmaceutical packaging and drug products,as well as harmonization of inter-national standards,it analyzed the revision philosophy of the new guideline and the impact to industry.The new edition of the guideline 9621 introduces the concept of "pharmaceutical packaging system" for the first time,constructing four suitability evaluation dimensions covering protection,compatibility,safety,and functionality,it also introduces the requirements for the self-stability evaluation of plastic and rubber pharmaceutical packaging materials,and strengthening the concept of full lifecycle management and risk management.Through the"1+4+58" standard system,the basis for determining the key quality attributes of packaging materials for phar-maceutical use and the optimization path of dynamic inspection rules have been clarified.This revision has resolved the contradiction between the old version of standards and current regulatory requirements through a systematic upgrade,promoting the transformation of pharmaceutical packaging materials and containers quality control towards a scientific,international,and full lifecycle management model,proving technical supports in ensuring the safety,effectiveness of drug products from standard perspective,including advancing the industry high-quality development.

Objective:To evaluate the clinical efficacy of Tianma Xionglin Zhixuan Tablets in treating hypertension patients with liver yang hyperactivity or comorbid phlegm-stasis syndrome and explore its therapeutic mechanisms through plasma metabolomics.Methods:Thirty-six hypertension patients(4 dropouts)diagnosed with liver yang hyperactivity or phlegm-stasis syndrome were enrolled as the treatment group from June 2022 to September 2023 at the First Affiliated Hospital of Hunan University of Chinese Medicine,while 30 healthy volunteers with balanced constitutions were recruited as the blank group.Plasma samples were collected from patients pre-and post-treatment and from healthy volunteers.Clinical outcomes,including syndrome scores,office blood pressure(BP),and 24-hour ambulatory BP,were recorded.Plasma metabolomic profiling was performed using liquid chromatography-mass spectrometry(LC-MS).Results:Compared with baseline,Tianma Xionglin Zhixuan Tablets significantly reduced traditional Chinese medicine syndrome scores(P＜0.01),office systolic/diastolic BP(P＜0.01),and 24-hour ambulatory BP parameters(24-hour mean BP,daytime/nighttime mean BP;all P＜0.01).Metabolomic analysis identified 45 differential metabolites between the blank group and pretreatment patients,and 64 metabolites altered post-treatment(VIP＞1,P＜0.05).Enrichment analysis of 16 overlapping endogenous metabolites revealed that Tianma Xionglin Zhixuan Tablets primarily modulated arachidonic acid metabolism and sphingolipid metabolism pathways.Conclusion:Tianma Xionglin Zhixuan Tablets demonstrates significant clinical efficacy in hypertension patients with liver yang hyperactivity or phlegm-stasis syndrome,potentially mediated through regulation of arachidonic acid and sphingolipid metabolism.

Objective To develop a quality evaluation indicator system for"Internet+indwelling tubes home nursing services"for a standardised evaluation process.Methods Based on the structure-process-outcome(SPO)model,a quality assessment indicator system for"Internet+indwelling tubes home nursing services"was developed.This system was refined via a comprehensive literature review,semi-structured interviews,clinical expertise,and a two-round Delphi consultation involving 20 experts from clinical nursing,nursing management,human resource management,public health and information technology.Results The effective recovery rate from both rounds of Delphi consultation was 100.00%.The authority coefficients for two-rounds of expert consultation were both at 0.785.Kendall's W coefficients for secondary indicators were 0.201 and 0.280,and 0.214 and 0.226 for tertiary indicators,all were statistically significant(P<0.05).After 2 rounds of expert consultation,the system demonstrated strong reliability:mean importance weights for all indicators exceeded 4.0,coefficients of variation were below 0.2,and full score rates included or surpassed 20%.The finalised quality evaluation indicator system for"Internet+indwelling tubes home nursing services"included 3 primary indicators(allocation of pipeline nursing service resources,implementation of pipeline nursing service resources,and feedback on the effectiveness of pipeline nursing service resources),12 secondary indicators,and 70 tertiary indicators.Conclusion The quality evaluation indicator system for"Internet+indwelling tubes home nursing services"developed in this study is scientifically reliable,practical and applicable for evaluation of the quality of"Internet+"pipeline home nursing services.