Objective: To propose an improved method for constructing the internal quality control (IQC) framework for ELISA assays and validate its efficacy by statistically analyzing IQC data from nine blood center laboratories. Methods: 1) IQC data was collected from nine blood centers and analyzed using a domestic HBsAg ELISA detection kit as an example. 2) Differences between IQC values across batches within Blood Center 1 were assessed. 3) Statistical analyses were performed on batch usage, number of batches used, days of use, number of QC points, batch-specific means, and coefficients of variation (CV) across all nine centers. 4) Using the improved construction method for IQC framework, provisional and permanent frames were established for batches within Blood Center 1 and Blood Center 9, followed by outlier determination. Results: 1) Statistically significant differences were observed in IQC data between batches within Blood Center 1 (P<0.01). It is recommended that both the control material/reagents and the control chart framework be replaced simultaneously. 2) There were substantial differences among 9 blood centers regarding the control material/reagent lot numbers used, the number of QC runs per batch, and the QC values for identical lots. Therefore, individual laboratories should establish their own IQC chart frameworks. 3) The improved IQC framework construction method for ELISA assays is as follows: provisional frames are established via frame-shifting, using the pre-experimental mean and cumulative coefficient of variation (CV) from the preceding batch. For batches used >20 days with >20 QC points, permanent frames are constructed by aggregating in-control data accumulated over ≥20 days with ≥20 points to calculate cumulative mean and standard deviation. The provisional and permanent frames constructed by this method identified all 26 extreme outliers across Blood Centers 1 and 9 as out-of-control. Among the 218 general outliers, 10 were classified as normal by the provisional frames, while the remainder were designated as warnings or out-of-control. This method effectively monitors assay stability. Conclusion: Based on the statistical analysis of IQC practices across blood centers of varying scales, combined with the inherent characteristics of ELISA assays and the batch-to-batch instability of reagents/QC materials, it is recommended to reconstruct QC charts upon lot changes. The proposed method—utilizing frame-shifting for provisional frames and establishing permanent frames based on cumulative data—is applicable to blood center laboratories of differing sizes and effectively monitors the stability of the ELISA assay process.

Organoid technology has become a highly promising in vitro model in biomedical research, but its traditional culture relies on animal-derived basement membrane matrices, which suffer from batch-to-batch variability, undefined biochemical composition, and poorly controllable mechanical properties. Recent studies have confirmed that matrix stiffness, viscoelasticity, topography, and temporal mechanical dynamics play regulatory roles equally as critical as biochemical signals in stem cell self-organization, lineage specification, and functional maturation of organoids. This review systematically summarizes the progress in understanding how extracellular matrix (ECM) mechanical properties regulate organoid formation. Focusing on the YAP/TAZ factors and the integrin receptors, which engage in crosstalk with biochemical signals to synergistically determine cell fate. We then elaborate how specific mechanical parameters, such as stiffness, viscoelasticity, and topography, influence each distinct stage of organoid development, from initial aggregation and compaction, through proliferative expansion, to lineage-committed differentiation and terminal functional maturation. Appropriate stiffness facilitates efficient aggregation and symmetry breaking, while excessive rigidity impairs proliferation and accelerates cellular senescence. In hepatic organoid expansion where only stiffness matching liver tissue(~6.2 kPa) supported robust growth. Viscoelastic stress relaxation promotes integrin clustering, enhances focal adhesion maturation, and stimulates endogenous ECM deposition, thereby supporting self-organized crypt-villus architecture and basement membrane assembly. Notably, dynamic softening of hydrogels enables optimal crypt budding, whereas rapid stress relaxation permits nephron segment coiling and drives vascular organoid maturation toward arteriole differentiation, highlighting stress relaxation as a key temporal parameter. Topographical cues provide contact guidance that directs polarized outgrowth, lumen formation, and neuronal orientation, all of which are essential for achieving organotypic architecture. The embedded 3D printing of complex neural networks enables precise control over branching geometries, facilitating studies of morphogenesis under spatial constraints. The engineered mechanical microenvironments have been successfully applied to recapitulate disease phenotypes: stiff matrices induce fibrosis and epithelial-mesenchymal transition in liver organoids, promote chemoresistance in cholangiocarcinoma. Furthermore, we summarize engineering strategies for both natural and synthetic hydrogels aimed at creating mechanically defined culture platforms. Natural biomaterial modifications achieve spatial separation of mechanical constraints from biochemical support, enabling self-limited compressive stimulation within a defined time window. Synthetic polymers allow independent tuning of stiffness, ligand density, and viscoelasticity through adjustable crosslinking and dynamic non-covalent interactions, thus providing orthogonal control over multiple mechanical parameters. Dynamic microenvironments that mimic progressive stiffening as observed in development, tumor evolution, or fibrosis can be constructed using composites that undergo spontaneous structural transitions. In the future, critical challenges include deciphering the synergistic rules governing mechanical-biochemical interplay, developing spatiotemporally programmable hydrogels that enable on-demand modulation of local mechanics, establishing comprehensive databases of tissue-specific mechanical parameter windows, and advancing standardized high-throughput screening platforms to accelerate preclinical validation and clinical translation. Moreover, integrating real-time mechanical sensors and non-invasive imaging techniques would allow dynamic monitoring of intracellular forces and tissue-level stress during culture. Ultimately, this review aims to provide a theoretical foundation for deepening our understanding of mechano-biological coupling mechanisms and for rationally designing high-fidelity, physiologically relevant organoid culture platforms that fully harness the regulatory power of mechanical cues.

Specification for Quality Control in Traditional Chinese Medicine Clinical Trials（GB/T 47336-2026） is the first national standard in the field of clinical research on traditional Chinese medicine （TCM）， aims to address the core issue that the quality shortcomings of current TCM clinical research restrict the transformation of achievements and international recognition. Through the interpretation of the core contents of this standard， including its scope of application， graded quality control system， TCM-specific quality control requirements， implementation and responsible entities， responsibilities of quality control personnel， formulation of quality control plans， critical nodes of quality control， and quality control archive management， it is believed that the promotion and implementation of this standard are of great significance for improving the standard system of TCM clinical research， enhancing research quality， optimizing the quality management model， and promoting the internationalization process of TCM. Meanwhile， the implementation paths for the standard are discussed， including carrying out pilot applications in institutions， establishing publicity， implementation， and training mechanisms， encouraging multi-party collaborative supervision， and setting up implementation feedback mechanisms. On this basis， the challenges that may be encountered during implementation， such as resource input pressure， difficulties in implementing TCM-specific quality control， and a relative shortage of interdisciplinary composite talents， are sorted out， and corresponding strategies are proposed， which can provide references for relevant researchers and practitioners.

ObjectiveTreadmill exercise intervention was evaluated for its effects on addictive behavior, learning and memory, and hippocampal neuroinflammation in methamphetamine (MA)-addicted mice, and transcriptomic screening was performed to identify candidate molecules involved in exercise-mediated attenuation of MA-related neuronal injury. MethodsTwo-month-old male C57BL/6 mice were randomly assigned to four groups: control (C), exercise control (CE), methamphetamine (M), and methamphetamine plus exercise (ME). Mice in the M and ME groups received intraperitoneal injections of MA (1 mg/kg) once daily for 7 consecutive days to establish the addiction model, whereas mice in the C and CE groups received equal volumes of saline. Subsequently, mice in the CE and ME groups underwent treadmill exercise at 12 m/min for 60 min/d for 2 weeks. Conditioned place preference (CPP), the Y-maze, and the Morris water maze (MWM) were used to assess addictive behavior, spatial recognition memory, and spatial learning and memory, respectively. Hippocampal neuronal ultrastructure was examined by transmission electron microscopy (TEM), and microglia-related responses were evaluated by immunofluorescence staining for ionized calcium-binding adapter molecule 1 (Iba-1) in the hippocampal CA1 region. Previously generated and publicly available RNA-seq data from brain tissue of the C, M, and ME groups were reanalyzed, with three biological samples per group. Differentially expressed genes (DEGs) were re-screened using the criteria of P<0.05 and fold change>1.5 or <0.67, followed by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. NLR family CARD domain containing 5 (Nlrc5) was further validated by reverse transcription-quantitative polymerase chain reaction (RT-qPCR), and Western blot was used to determine the protein expression of NLRC5, nuclear factor kappa B (NF‑κB), interleukin-1β (IL-1β), postsynaptic density-95 (PSD-95), and synaptophysin. ResultsTreadmill exercise significantly attenuated MA-induced conditioned place preference and improved learning and memory performance in both the Y-maze and MWM tests. Exercise increased exploration time and distance in the novel arm of the Y-maze, shortened escape latency, and increased the number of platform crossings in the MWM. Average swimming speed during the probe trial did not differ significantly among groups, suggesting that the MWM differences were not attributable to obvious differences in swimming performance. TEM revealed that MA exposure induced mitochondrial swelling, disrupted cristae, reduced organelle abundance, and nuclear envelope abnormalities in hippocampal neurons, whereas these ultrastructural changes were alleviated after exercise. Immunofluorescence staining showed that MA increased Iba-1 fluorescence intensity in the hippocampal CA1 region, while treadmill exercise significantly reduced this change. Transcriptomic analysis identified 160 DEGs associated with MA exposure and 58 DEGs associated with exercise intervention, with 9 overlapping DEGs. KEGG enrichment analysis showed that MA-related DEGs were enriched in the NOD-like receptor signaling pathway. Among the overlapping DEGs, Nlrc5, which was downregulated after MA exposure and restored following exercise intervention, was selected as a candidate gene for further validation. RT-qPCR confirmed that treadmill exercise reversed the MA-induced decrease in Nlrc5 mRNA expression. Western blot analysis further showed that treadmill exercise increased NLRC5, PSD-95, and synaptophysin protein expression while reducing NF-κB and IL-1β expression. ConclusionTwo weeks of treadmill exercise attenuated MA-induced conditioned place preference and ameliorated learning and memory impairment, alleviated hippocampal neuroinflammation and neuronal ultrastructural damage, and restored the expression of synapse-related proteins. Transcriptomic screening combined with molecular validation demonstrated that exercise intervention was accompanied by restoration of NLRC5 expression, reduced NF‑κB and IL-1β expression, and increased PSD-95 and synaptophysin expression. These findings suggest that NLRC5 may represent a candidate molecule involved in exercise-mediated amelioration of MA-related neuronal injury. However, the present results mainly demonstrate coordinated changes in NLRC5 expression, inflammatory indicators, and cognitive outcomes rather than a direct causal relationship, and the specific role of NLRC5 requires further functional validation.

In recent years, with the rapid development of artificial intelligence technology, the application of deep learning in the field of pathology has been continuously expanding. Particularly, the rise of multimodal data fusion methods has opened up new technical paths for the precise diagnosis, prognosis assessment, and individualized treatment of tumors. By integrating multi-level and multi-source data such as clinical information, pathological omics, molecular omics, and imaging omics, deep learning models can identify potential associated features and key biological mechanisms that are difficult to reveal by a single modality, thereby significantly improving the accuracy of disease classification and the scientific nature of risk stratification. This article systematically reviews the research progress of multimodal data fusion methods based on deep learning in the field of pathology in recent years, focuses on sorting out different types of fusion strategies, evaluates their advantages and challenges in practical clinical applications, and looks forward to future development trends.

Objective:To investigate the clinicopathological features, immunophenotype, molecular characteristics, and differential diagnosis of MED15-TFE3 gene fusion renal cell carcinoma (MED15-TFE3 RCC).Methods:A total of 12 MED15-TFE3 RCCs, diagnosed from 2016 to 2023, were collected from the Department of Pathology of Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, China for clinicopathologic, immunohistochemical, fluorescence in situ hybridization (FISH) and RNA sequencing (RNA-seq) analyses and follow-up. In addition, its diagnosis and differential diagnosis were also explored.Results:There were five males and seven females. The patients′ ages ranged from 16 to 60 years, with an average age of 40.4 years. The follow-up time ranged from 15 to 92 months, and no recurrence or metastasis was observed. Histologically, 6 cases exhibited extensive cystic structures with almost no solid sheet components, while the remaining 6 cases displayed a cysto-solid growth pattern. The cytoplasm of the tumor cells appeared flocculent, with a clear or faintly eosinophilic appearance, and nucleoli were inconspicuous. Psammoma bodies were observed in 12 cases. There was deposition of basement membrane-like material in 5 cases. All cases showed strong expression of TFE3, GPNMB, Cathepsin K, Melan A, and PAX8, while no expression of CAⅨ or CK7. FISH analyses showed that all 12 cases were positive for the MED15-TFE3 fusion, while the MED15-TFE3 fusion gene and specific fusion sites were detected in 2 cases using RNA-seq.Conclusions:MED15-TFE3 RCC is a type of TFE3-rearranged renal cell carcinoma that exhibits both identifiable diagnostic characteristics and highly deceptive morphology. Its distinct extensive cystic structure can be easily confused with multilocular cystic renal neoplasm of low malignant potential, necessitating careful differentiation in routine practice.

FLASH radiotherapy is moving from animal experiments to clinical trials. However, the research on radiation shielding of FLASH radiotherapy rooms has been still in the initial stage. This paper analyses the structural characteristics of the beam pulse of FLASH radiotherapy devices of different technical routes, and discusses the radiation shielding challenges facing the radiotherapy room from FLASH radiotherapy technology based on the current protection standards for the radiotherapy room at home and abroad. The purpose is to provide input to the research on radiation protection of FLASH radiotherapy and to promote the clinical development of FLASH radiotherapy.

Nasojejunal feeding tubes are widely used in surgical,intensive care,and older patients.Manual blind insertion of nasojejunal feeding tubes is technically challenging,associated with a high failure rate,and prone to complications.The primary causes of suboptimal placement outcomes are the uncertainty and weak controllability of the interaction forces during the coordination between manual posterior advancement and the patient's physiological state.While current auxiliary techniques such as X-ray,ultrasound,and endoscopy can improve the success rate of nasojejunal tube placement and reduce complications to some extent,the accuracy and safety of placement remain constrained by challenges in controlling insertion forces and achieving precise positional localization.Robotic technology holds promise for addressing the uncertainties and controllability issues inherent in the placement process.By leveraging precise sensing,real-time navigation,and efficient control,robots can achieve intelligent positioning and precise control over the direction and location of the catheter tip during nasojejunal intubation.However,current research on robotic applications for nasojejunal feeding tube placement is still in an early stage,facing challenges such as high costs,operational complexity,and concerns over safety and reliability.Herein,we analyzed the limitations and causes of failure in existing placement methods and explored the application prospects of robotic technologies for precise control and intelligent positioning in nasojejunal feeding tube placement.The paper provides new insights for developing nursing techniques that enable safer and more effective,comfortable,and rapid intubation.Future efforts should focus on deepening the integration of artificial intelligence and robotics,optimizing drive technologies,and accelerating the translation of these technologies from the laboratory to clinical practice.This will drive the advancement of nasojejunal feeding tube placement techniques towards intelligent,precise,and accessible solutions.

Objective To investigate the pharmacological mechanism through which total flavonoids extracted from Xiaobuxin-Tang(XBXT-2)affects neural network activities in the frontal cortex by focusing on the effects of XBXT-2 on the cortical field potentials in the frontal association cortex(FrA)in mice.Methods Cortical electrodes were implanted into the skull of C57BL/6J mice targeting the FrA.After a 7-day recovery period,the mice were administered XBXT-2 intragastrically at a dose of 100 mg/kg,and 1 hour later,local field potential(LFP)in the FrA were recorded for 30 minutes.Spectral analysis of the data was performed using Neuro Explorer software.Changes in the power spectral density of α,β,θ,γ,and δ frequency bands before and after drug administration were analyzed using GraphPad Prism 10.3.Phase-amplitude coupling of θ and γ oscillations was analyzed using Matlab 2021 software.Results It was found that the oral administration of XBXT-2 significantly suppressed high-frequency γ oscillations while simultaneously enhancing θ,β,α,and δ oscillations in FrA of mice compared to the control.Furthermore,XBXT-2 treatment markedly strengthened the phase-amplitude coupling between θ and γ oscillations.Conclusion XBXT-2 possibly affects emotional and cognitive functions by modulating neural network activity in FrA and enhancing θ-γ phase-amplitude coupling in mice.

Objective:To quantitatively evaluate the level of the three medical linkage in China from 2009 to 2022,explore the influencing factors and driving paths of the three medical linkage in China,and provide a new perspective for promoting the development of the three medical linkage.Methods:An optimized coupling coordination degree model was used to calculate the coupling coordination degree between the trinity healthcare systems and different binary systems within the systems in 31 provinces of China(excluding Hong Kong,Macao and Taiwan),and the Fuzzy-set Qualitative Comparative Analysis method was used to explore the condition configurations of multi-factor-driven three medical linkage.Results:From 2009 to 2022,the coupling coordination degree between the trinity healthcare systems in each province of China generally showed an increasing trend year by year.Among the binary systems,the overall coordinated development situation between the medical and medical insurance systems was the best and the regional development was the most balanced.The coupling coordination degree gap between the trinity healthcare system and the internal binary systems among provinces gradually widened,and the multi-polarization trend intensified.The paths to promote high-level three medical linkage can be summarized into two types:internal and external balanced development type(H1)and government-led type(H2,H3),among which the H1 path with per capita GDP and health expenditure as core conditions was the most common.Conclusion:It is suggested to enhance institutional and technological innovation,and integrate resources through a cross-departmental collaboration mechanism and digital technology.Provinces should select high-level optimization paths by leveraging regional endowments to narrow the regional development gap.Meanwhile,under the impetus of high-level policies,the protection and supervision system continues to improve,thereby promoting the three medical linkage.