BACKGROUND:Acute exercise tends to cause skeletal muscle tissue damage and lipid metabolism disorders in vivo,but the mechanism by which acute exercise combined with electroacupuncture modulates metabolic and autophagic pathways in vivo is unclear. OBJECTIVE:To observe the changes in metabolic enzymes and autophagy levels in skeletal muscle of rats subjected to acute exercise by electroacupuncture at the acupoints of"Zusanli"and"Huantiao." METHODS:Fifty male Sprague-Dawley rats were randomly divided into three groups:quiet control group(n=10),model group(n=20),and reverse electroacupuncture group(n=20).The latter two groups were set up with two time points,i.e.immediate and 3 hours after exercise groups(n=10 per time point).The model group and the reverse electroacupuncture group underwent acute exercise training after adaptive treadmill training.The rats in the reverse electroacupuncture group underwent electroacupuncture treatment(parameters:electroacupuncture on both sides of the rats at the acupoints of"Zusanli"and"Huantiao,"continuous wave,frequency of 2 Hz,intensity of 2 mA,leaving the needle in the body for 30 minutes,once a day for 7 consecutive days)before treadmill training.Bilateral gastrocnemius muscle tissues were taken under anesthesia immediately after exercise and 3 hours after exercise,and hematoxylin-eosin staining was used to observe the histopathological changes of rat skeletal muscle.ELISA kit was used to detect the activities of hepatic lipase,fatty acid synthase,hormone-sensitive lipase,and carnitine palmitoyltransferase 1 in rat skeletal muscle tissues.Immunohistochemistry and western blot were used to detect the changes in the expression of autophagy genes. RESULTS AND CONCLUSION:After hematoxylin-eosin staining,the arrangement of gastrocnemius muscle fibers in the model group was disturbed,swollen and ruptured immediately after exercise and 3 hours after exercise.In the reverse electroacupuncture group,gastrocnemius muscle fibers were tightly arranged and the number of swollen and ruptured cells was greatly reduced immediately after exercise and 3 hours after exercise,and there was no significant difference when compared with the quiet control group.Compared with the quiet control group,the activities of hepatic lipase and fatty acid synthase were lower while the activities of lipoprotein lipase,hormone-sensitive lipase,and carnitine palmitoyltransferase 1 were higher in the model group and the reverse electroacupuncture group 3 hours after exercise(P＜0.05 or P＜0.01).Compared with the model group,the activities of lipoprotein lipase and carnitine palmitoyltransferase 1 were higher in the reverse electroacupuncture group immediately after exercise(P＜0.05),while the activity of lipoprotein lipase was higher and the activity of hormone-sensitive lipase was lower in the reverse electroacupuncture group 3 hours after exercise(P＜0.01).Immunohistochemical results showed that compared with the quiet control group,the expression of P62,autophagy-related gene 5 and autophagy-related gene 7 was higher in the model group immediately and 3 hours after exercise,as well as in the reverse electroacupuncture group immediately after exercise(P＜0.05 or P＜0.01);compared with the model group,the expression of P62 and autophagy-related gene 7 was lower in the reverse electroacupuncture group immediately and 3 hours after exercise(P＜0.05).Western blot results showed that the protein expression of P62 and autophagy-related gene 7 in the reverse electroacupuncture group was lower than that in the model group immediately after exercise(P＜0.05);the protein expression of Parkin in the model group was higher than that in the quiet control group immediately and 3 hours after exercise(P＜0.05);and the protein expression of Parkin in the reverse electroacupuncture group was lower than that in the model group immediately and 3 hours after exercise(P＜0.05).To conclude,acute exercise induces disorders,swelling and rupture of gastrocnemius muscle fibers in rats and electroacupuncture on both sides of the acupoints of"Zusanli"and"Huantiao"can improve the level of lipid metabolism and regulate autophagy cells in rat skeletal muscle,preventing the disorders of lipid metabolism and damage of gastrocnemius muscle tissues caused by acute exercise.The mechanism may be closely related to the regulation of autophagy-related factor P62,autophagy-related gene 5,autophagy-related gene 7,and Parkin protein expression to promote the occurrence of autophagy or regulate the autophagy pathway in rat skeletal muscle cells.

BACKGROUND:Osteoporotic fracture is the most serious complication of osteoporosis.Previous studies have demonstrated that gut microbiota has a regulatory effect on skeletal tissue and that gut microbiota has an important relationship with osteoporotic fracture,but the causal relationship between the two is unclear. OBJECTIVE:To explore the causal relationship between gut microbiota and osteoporotic fractures using Mendelian randomization method. METHODS:The genome-wide association study(GWAS)datasets of gut microbiota and osteoporotic fracture were obtained from the IEU Open GWAS database and the Finnish database R9,respectively.Using gut microbiota as the exposure factor and osteoporotic fracture as the outcome variable,Mendelian randomization analyses with random-effects inverse variance weighted,MR-Egger regression,weighted median,simple model,and weighted model methods were performed to assess whether there is a causal relationship between gut microbiota and osteoporotic fracture.Sensitivity analyses were performed to test the reliability and robustness of the results.Reverse Mendelian randomization analyses were performed to further validate the causal relationship identified in the forward Mendelian randomization analyses. RESULTS AND CONCLUSION:The results of this Mendelian randomization analysis indicated a causal relationship between gut microbiota and osteoporotic fracture.Elevated abundance of Actinomycetales[odds ratio(OR)=1.562,95%confidence interval(CI):1.027-2.375,P=0.037),Actinomycetaceae(OR=1.561,95%CI:1.027-2.374,P=0.037),Actinomyces(OR=1.544,95%CI:1.130-2.110,P=0.006),Butyricicoccus(OR=1.781,95%CI:1.194-2.657,P=0.005),Coprococcus 2(OR=1.550,95%CI:1.068-2.251,P=0.021),Family ⅩⅢ UCG-001(OR=1.473,95%CI:1.001-2.168,P=0.049),Methanobrevibacter(OR=1.274,95%CI:1.001-1.621,P=0.049),and Roseburia(OR=1.429,95%CI:1.015-2.013,P=0.041)would increase the risk of osteoporotic fractures in patients.Elevated abundance of Bacteroidia(OR=0.660,95%CI:0.455-0.959,P=0.029),Bacteroidales(OR=0.660,95%CI:0.455-0.959,P=0.029),Christensenellacea(OR=0.725,95%CI:0.529-0.995,P=0.047),Ruminococcaceae(OR=0.643,95%CI:0.443-0.933,P=0.020),Enterorhabdus(OR=0.558,95%CI:0.395-0.788,P=0.001),Eubacterium rectale group(OR=0.631,95%CI:0.435-0.916,P=0.016),Lachnospiraceae UCG008(OR=0.738,95%CI:0.546-0.998,P=0.048),and Ruminiclostridium 9(OR=0.492,95%CI:0.324-0.746,P=0.001)would reduce the risk of osteoporotic fractures in patients.We identified 16 gut microbiota associated with osteoporotic fracture by the Mendelian randomization method.That is,using gut microbiota as the exposure factor and osteoporotic fracture as the outcome variable,eight gut microbiota showed positive causal associations with osteoporotic fracture and another eight gut microbiota showed negative causal associations with osteoporotic fracture.The results of this study not only identify new biomarkers for the early prediction of osteoporotic fracture and potential therapeutic targets in clinical practice,but also provide an experimental basis and theoretical basis for the study of improving the occurrence and prognosis of osteoporotic fracture through gut microbiota in bone tissue engineering.

BACKGROUND:Our previous research found that Panax notoginseng can repair the morphological structure of bone cells,which has a good application prospect in the treatment of osteoarthritis,but the specific mechanism of Panax notoginseng is still unclear. OBJECTIVE:To identify the main components of Panax notoginseng using ultra-high performance liquid chromatography-Q exactive-mass spectrometry(UHPLC-QE-MS),and to explore the mechanism of Panax notoginseng in the treatment of osteoarthritis by combining network pharmacology,molecular docking and molecular dynamics simulation. METHODS:After identifying the main components of Panax notoginseng by UHPLC-QE-MS technology,the active components were screened by TCMSP database,and the targets of active components were found by TCMSP and Uniprot database.Osteoarthritis targets were screened out through disease databases.After the intersection of drug targets and disease targets,the protein-protein interaction network was constructed by importing STRING database and Cytoscape software,and the"active ingredient-action target"network was constructed to screen key active ingredients.Then the key targets were enriched and analyzed,and the key active components and key targets were verified by molecular docking.Finally,the results with the lowest binding energy were selected for molecular dynamics simulation. RESULTS AND CONCLUSION:A total of 57 active components were identified in the solution of Panax Notoginseng,including 50 intersection targets of components and disease targets,5 key active components(quercetin,ursodeoxycholic acid,kaempferol,naringenin and erythrocyanine),and 5 key targets(interleukin 6,matrix metalloproteinase 9,interleukin 1β,albumin and recombinant chemokine c-motif ligand 2).Gene ontology enriched 642 entries,among which 620 entries represent biological processes,21 entries represent molecular functions,and 1 entry represents cellular components.Kyoto encyclopedia of genes and genomes analysis indicated 63 pathways,mainly including estrogen signaling pathway,interleukin 17 signaling pathway and hyperglycosylation end product-hyperglycosylation end product receptor signaling pathway.Molecular docking showed good binding activity of key active components and key targets.Molecular dynamics simulation indicated that the stable interaction between quercetin and matrix metalloproteinase 9.The composition of Panax notoginseng was comprehensively studied,and the material basis of its efficacy was preliminarily clarified.It was predicted that Panax notoginseng could play an anti-inflammatory,cartilage-protective,and immunomodulatory role in treating osteoarthritis through multiple components,targets,approaches and pathways.

Disorders of consciousness (DOC) are pathological conditions characterized by severely suppressed brain function and the persistent interruption or loss of consciousness. Accurate diagnosis and evaluation of DOC are prerequisites for precise treatment. Traditional assessment methods are primarily based on behavioral scales, which are inherently subjective and rely on observable behaviors. Moreover, traditional methods have a high misdiagnosis rate, particularly in distinguishing minimally conscious state (MCS) from vegetative state/unresponsive wakefulness syndrome (VS/UWS). This diagnostic uncertainty has driven the exploration of objective, reliable, and efficient assessment tools. Among these tools, electroencephalography (EEG) has garnered significant attention for its non-invasive nature, portability, and ability to capture real-time neurodynamics. This paper systematically reviews the application of EEG biomarkers in DOC assessment. These biomarkers are categorized into 3 main types: resting-state EEG features, task-related EEG features, and features derived from transcranial magnetic stimulation-EEG (TMS-EEG). Resting-state EEG biomarkers include features based on spectrum, microstates, nonlinear dynamics, and brain network metrics. These biomarkers provide baseline representations of brain activity in DOC patients. Studies have shown their ability to distinguish different levels of consciousness and predict clinical outcomes. However, because they are not task-specific, they are challenging to directly associate with specific brain functions or cognitive processes. Strengthening the correlation between resting-state EEG features and consciousness-related networks could offer more direct evidence for the pathophysiological mechanisms of DOC. Task-related EEG features include event-related potentials, event-related spectral modulations, and phase-related features. These features reveal the brain’s responses to external stimuli and provide dynamic information about residual cognitive functions, reflecting neurophysiological changes associated with specific cognitive, sensory, or behavioral tasks. Although these biomarkers demonstrate substantial value, their effectiveness rely on patient cooperation and task design. Developing experimental paradigms that are more effective at eliciting specific EEG features or creating composite paradigms capable of simultaneously inducing multiple features may more effectively capture the brain activity characteristics of DOC patients, thereby supporting clinical applications. TMS-EEG is a technique for probing the neurodynamics within thalamocortical networks without involving sensory, motor, or cognitive functions. Parameters such as the perturbational complexity index (PCI) have been proposed as reliable indicators of consciousness, providing objective quantification of cortical dynamics. However, despite its high sensitivity and objectivity compared to traditional EEG methods, TMS-EEG is constrained by physiological artifacts, operational complexity, and variability in stimulation parameters and targets across individuals. Future research should aim to standardize experimental protocols, optimize stimulation parameters, and develop automated analysis techniques to improve the feasibility of TMS-EEG in clinical applications. Our analysis suggests that no single EEG biomarker currently achieves an ideal balance between accuracy, robustness, and generalizability. Progress is constrained by inconsistencies in analysis methods, parameter settings, and experimental conditions. Additionally, the heterogeneity of DOC etiologies and dynamic changes in brain function add to the complexity of assessment. Future research should focus on the standardization of EEG biomarker research, integrating features from resting-state, task-related, and TMS-EEG paradigms to construct multimodal diagnostic models that enhance evaluation efficiency and accuracy. Multimodal data integration (e.g., combining EEG with functional near-infrared spectroscopy) and advancements in source localization algorithms can further improve the spatial precision of biomarkers. Leveraging machine learning and artificial intelligence technologies to develop intelligent diagnostic tools will accelerate the clinical adoption of EEG biomarkers in DOC diagnosis and prognosis, allowing for more precise evaluations of consciousness states and personalized treatment strategies.

ObjectiveTo explore the effect of Buzhong Yiqitang on exercise-induced fatigue and its potential mechanism. MethodsSixty male SPF-grade C57BL/6J mice were randomized into blank， model， low-， medium-， high-dose （4.1， 8.2， 16.4 g·kg^-1， respectively） Buzhong Yiqitang， and vitamin C （0.04 g·kg^-1） groups. The blank and model groups were administrated with normal saline. Each group was administrated with corresponding agents by gavage at a dose of 0.2 mL once a day. Except the blank group， other groups underwent a 6-weeks exhaustive swimming test under negative gravity. At the end of the experiment， blood was collected， and the thymus， spleen， liver， and kidney weights were measured. Serum levels of lactic acid （LD）， blood urea nitrogen （BUN）， creatine kinase （CK）， and malondialdehyde （MDA） were assessed by kits to evaluate fatigue. Hematoxylin-eosin staining was performed to observe pathological changes in the skeletal muscle. Electron microscopy was used to examine the skeletal muscle cell ultrastructure， with a focus on mitochondrial morphological changes. The adenosine triphosphate （ATP） content and activities of mitochondrial respiratory chain complexes Ⅰ， Ⅱ， and Ⅴ in skeletal muscle were determined by kits. The expression levels of key genes and proteins in the PTEN-induced putative kinase 1 （PINK1）-mediated mitochondrial homeostasis pathways in the skeletal muscle were evaluated via Real-time PCR and Western blot， respectively. ResultsCompared with the blank group， the model group showed reductions in weight gain rate （P<0.01） and thymus index （P<0.01）， rises in serum levels of LD， BUN， MDA， and CK （P<0.01）， disarrangement of skeletal muscle， broken muscle fibers， inflammatory cell infiltration in muscle fiber gaps， abnormal morphological changes （increased vacuolated mitochondria and disappearance of cristae） of mitochondria in skeletal muscle cells， and decreased mitochondria. In addition， the skeletal muscle in the model group showed reduced content of ATP， weakened activities of mitochondrial respiratory chain complexes Ⅰ， Ⅱ， and Ⅴ （P<0.05）， up-regulated mRNA levels of PINK1， E3 ubiquitin-protein ligase （Parkin）， hairy/enhancer-of-split related with YRPW motif 1 （HEY1）， dynamin-related protein 1 （Drp1）， sequestosome 1 （p62）， and hypoxia-inducible factor 1 alpha （HIF-1α） （P<0.05）， and down-regulated protein level of microtubule-associated protein 1-light chain 3B （LC3B） （P<0.01）. Compared with the model group， Buzhong Yiqitang prolonged the swimming exhaustion time （P<0.01）， increased the weight gain rate （P<0.01） and thymus index （P<0.01）， lowered the serum levels of LD， BUN， MDA， and CK （P<0.05， P<0.01）. The skeletal muscle in the Buzhong Yiqitang groups showed neat arrangement， reduced inflammatory cells， intact mitochondria with dense cristae， and increased mitochondria. In addition， the skeletal muscle in the Buzhong Yiqitang groups showcased increased ATP content， enhanced activities of mitochondrial respiratory chain complexes Ⅰ， Ⅱ， and Ⅴ （P<0.05， P<0.01）， up-regulated protein levels of PINK1， Parkin， HEY1， LC3B， and Drp1 and mRNA level of HIF-1α （P<0.05， P<0.01）， and down-regulated expression level of p62 （P<0.05， P<0.01）. ConclusionBuzhong Yiqitang can prevent and treat exercise-induced fatigue by regulating the mitochondrial homeostasis of skeletal muscle via the HIF-1α/PINK1/Parkin and HIF-1α/HEY1/PINK1 signaling pathways.

ObjectiveTo explore the effect of Buzhong Yiqitang on exercise-induced fatigue and its potential mechanism. MethodsSixty male SPF-grade C57BL/6J mice were randomized into blank， model， low-， medium-， high-dose （4.1， 8.2， 16.4 g·kg^-1， respectively） Buzhong Yiqitang， and vitamin C （0.04 g·kg^-1） groups. The blank and model groups were administrated with normal saline. Each group was administrated with corresponding agents by gavage at a dose of 0.2 mL once a day. Except the blank group， other groups underwent a 6-weeks exhaustive swimming test under negative gravity. At the end of the experiment， blood was collected， and the thymus， spleen， liver， and kidney weights were measured. Serum levels of lactic acid （LD）， blood urea nitrogen （BUN）， creatine kinase （CK）， and malondialdehyde （MDA） were assessed by kits to evaluate fatigue. Hematoxylin-eosin staining was performed to observe pathological changes in the skeletal muscle. Electron microscopy was used to examine the skeletal muscle cell ultrastructure， with a focus on mitochondrial morphological changes. The adenosine triphosphate （ATP） content and activities of mitochondrial respiratory chain complexes Ⅰ， Ⅱ， and Ⅴ in skeletal muscle were determined by kits. The expression levels of key genes and proteins in the PTEN-induced putative kinase 1 （PINK1）-mediated mitochondrial homeostasis pathways in the skeletal muscle were evaluated via Real-time PCR and Western blot， respectively. ResultsCompared with the blank group， the model group showed reductions in weight gain rate （P<0.01） and thymus index （P<0.01）， rises in serum levels of LD， BUN， MDA， and CK （P<0.01）， disarrangement of skeletal muscle， broken muscle fibers， inflammatory cell infiltration in muscle fiber gaps， abnormal morphological changes （increased vacuolated mitochondria and disappearance of cristae） of mitochondria in skeletal muscle cells， and decreased mitochondria. In addition， the skeletal muscle in the model group showed reduced content of ATP， weakened activities of mitochondrial respiratory chain complexes Ⅰ， Ⅱ， and Ⅴ （P<0.05）， up-regulated mRNA levels of PINK1， E3 ubiquitin-protein ligase （Parkin）， hairy/enhancer-of-split related with YRPW motif 1 （HEY1）， dynamin-related protein 1 （Drp1）， sequestosome 1 （p62）， and hypoxia-inducible factor 1 alpha （HIF-1α） （P<0.05）， and down-regulated protein level of microtubule-associated protein 1-light chain 3B （LC3B） （P<0.01）. Compared with the model group， Buzhong Yiqitang prolonged the swimming exhaustion time （P<0.01）， increased the weight gain rate （P<0.01） and thymus index （P<0.01）， lowered the serum levels of LD， BUN， MDA， and CK （P<0.05， P<0.01）. The skeletal muscle in the Buzhong Yiqitang groups showed neat arrangement， reduced inflammatory cells， intact mitochondria with dense cristae， and increased mitochondria. In addition， the skeletal muscle in the Buzhong Yiqitang groups showcased increased ATP content， enhanced activities of mitochondrial respiratory chain complexes Ⅰ， Ⅱ， and Ⅴ （P<0.05， P<0.01）， up-regulated protein levels of PINK1， Parkin， HEY1， LC3B， and Drp1 and mRNA level of HIF-1α （P<0.05， P<0.01）， and down-regulated expression level of p62 （P<0.05， P<0.01）. ConclusionBuzhong Yiqitang can prevent and treat exercise-induced fatigue by regulating the mitochondrial homeostasis of skeletal muscle via the HIF-1α/PINK1/Parkin and HIF-1α/HEY1/PINK1 signaling pathways.

Objective To investigate the relationship between cyclin A2 (CCNA2) and the prognosis of colon cancer, and its possible mechanism from the perspective of immune infiltration. Methods We downloaded the transcriptome data of colon cancer patients from The Cancer Genome Atlas database. Clinicopathological feature analysis and survival analysis were performed based on the expression levels of CCNA2. A total of 75 specimens of colon cancer and normal tissues were collected, and the expression level of CCNA2 was analyzed using immunohistochemical methods. Multivariate analysis was conducted to explore its relationship with clinicopathological features. Gene Set Enrichment Analysis (GSEA) was used to assess the potential molecular functions of CCNA2 in colon cancer. CIBERSORT algorithm was applied to calculate the correlation between CCNA2 and immune-cell infiltration in colon cancer. Results Database and immunohistochemical analyses indicated that CCNA2 was expressed at a significantly higher level in colon cancer tissues than normal tissues (P<0.001). The overall survival, disease-specific survival, and progression-free interval were all longer in the group with high CCNA2 expression than the group with low expression (all P<0.05). In tumor tissues, the expression level of CCNA2 decreased with increased pathological and TNM stages (P<0.05). The expression level of CCNA2 in normal tissues was consistently lower than that in colon cancer tissues across all clinical stages (all P<0.001). GSEA suggested that Wnt/β-catenin, KRAS, and other signaling pathways were enriched when CCNA2 was lowly expressed. CIBERSORT analysis revealed an increase in the infiltration of immune cells such as regulatory T cells and macrophages M0 when CCNA2 expression was low. Conclusion CCNA2 is highly expressed in colon cancer and closely associated with grade of pathology and TNM stage. It may recruit regulatory T cells through the KRAS and Wnt/β-catenin pathways, thereby reducing immune-cell infiltration and promoting colon cancer progression, leading to poor prognosis.

Objective: To analyze the incidence of statutory and keymonitored infectious diseases among school students in Beijing from 2016 to 2020, so as to provide a reference for developing the prevention and control of infectious diseases in schools. Methods: A descriptive statistical analysis was conducted on student cases aged 6-22 years in Beijing from 2016 to 2020 selected from the China Disease Surveillance Information Reporting Management System. Rate comparisons were performed using the 2 test and trend 2 test. Results: From 2016 to 2020, the overall incidence of statutory and keymonitored infectious diseases among students in Beijing showed an upward trend (χ2trend=582.42), the incidence rates of Category B and other infectious diseases exhibited a downward trend (χ2trend=82.71, 18.34), while Category C infectious diseases demonstrated a significant upward trend (χ2trend=911.75) (P<0.01). Among Category B infectious diseases, scarlet fever, bacillary dysentery, tuberculosis, and HIV/AIDS were predominant, with annual average incidence rates of 61.33/100 000, 35.38/100 000, 13.88/100 000, and 3.78/100 000, respectively. Except for HIV/AIDS, the reported incidence rates of other infectious diseases showed a declining trend. Among Category C infectious diseases, influenza, other infectious diarrhea, hand-foot-mouth disease, and mumps were predominant, with annual average incidence rates of 956.13/100 000, 114.39/100 000, 111.37/100 000, and 28.24/100 000, respectively. Influenza showed a significant upward trend (χ2trend=1 508.30), while the other infectious diarrhea, hand-foot-mouth disease, and mumps exhibited a downward trend (χ2trend=13.84, 25.78, 6.13) (P<0.05). Among other infectious diseases, varicella was predominant (χ2trend=17.47, P<0.05). Scarlet fever, influenza, hand-foot-mouth disease, and mumps had higher incidence rates among primary and middle school students; other infectious diarrhea and varicella were more prevalent among high school students; tuberculosis and bacillary dysentery were more common among high school and college students; and HIV/AIDS had higher incidence rates among college and high school students. Conclusion From 2016 to 2020, the incidence of Category B infectious diseases among students in Beijing showed a declining trend, while influenza, a Category C infectious disease, exhibited a significant upward trend.

Since its establishment in 2016, the National Rare Diseases Registry System of China (NRDRS) has accumulated valuable case data and bio-specimen for basic and clinical research on rare diseases in China. However, the emerging challenges in clinical diagnosis and treatment of rare diseases make it unable for data and resource platform to fully meet the diversified needs. Under this backdrop, we have developed a protocol to optimize and upgrade the system based on the core functions of the NRDRS platform. The goal is to leverage intelligent digital technologies to transform NRDRS into a new platform integrating multimodal data and auxiliary diagnostic and treatment functions. It is specified as the development and construction of "one platform and four intelligent tools." Currently, we have upgraded and developed NRDRS platform, intelligent tool for genotype-phenotype analysis of rare diseases, AI-assisted diagnostic tool for rare diseases, remote multidisciplinary diagnosis and teaching tool for rare diseases, drug screening and validation tool for rare diseases. The next step will focus on the promotion of the application of these tools in clinical settings in order to address the issue of severe imbalance in the allocation of resources for the diagnosis and treatment of rare diseases. This article provides an overview of the digital and intelligent upgrades of the NRDRS, the trials in applications in clinical settings, and direction in the future.

Objective To provide technical support for the formulation of scientific and reasonable supervision measures for enterprises engaged in the exploitation and utilization of ores with associated radionuclides in Guangxi Province, China. Methods A radionuclide analysis was performed on solid materials generated during production processes such as zirconium-titanium ore dressing and processing in multiple enterprises in Guangxi Province. The radiation levels of effluents was measured. Measurement and analysis were performed on the environmental air radon concentration levels and environmental γ-radiation dose rates at the factory boundaries of these enterprises and the surrounding environmental protection targets. Results The air absorption dose rate of γ radiation, the concentrations of radon and its daughters, and the radiation levels of surface water and aerosols at the factory boundaries and in the surrounding environment were all at normal levels. The specific activities of nuclides ²³⁸U, ²³²Th, and ²²⁶Ra in the raw ore, zirconium products, rutile products, and monazite products within the factory area were relatively high. The γ radiation air absorption dose rates in the corresponding workshops were also relatively high, with the zirconium-rutile workshop being the area with the highest values. Materials such as zirconium products, rutile, and monazite all showed a certain amount of radon exhalation. Conclusion The radiation level of tailings met the criteria of monitoring exemption, and the enterprises did not generate radioactive solid waste. Attention should be paid to the personal dose of the staff in areas with high radiation dose rates.