Background China is the world's largest producer and consumer of cobalt. Skin exposure to excess cobalt can cause symptoms such as contact dermatitis. At present, there are few studies on skin contact of cobalt and its compounds. Objective To investigate the skin contact characteristics of cobalt and its compounds. Methods A cross-sectional study was conducted in February 2024 involving 70 workers from a hard metal tool manufacturing company and the workers were divided into four groups according to their job positions: powder mixing, sintering, automatic pressing, and grinding processing. General demographic information was collected through questionnaires. Workplace air samples were collected using personal samplers, and cobalt concentrations in workplace air were measured by inductively coupled plasma optical emission spectrometry (ICP-OES). Skin samples were collected from the workers' foreheads using cotton swabs, and urine samples were collected within 30 min after the end of their shift. Urine specific gravity was measured immediately after collection, and disqualified samples were discarded. Cobalt concentrations in the swab extracts and urine were determined by inductively coupled plasma mass spectrometry (ICP-MS). Statistical analysis was performed using Kruskal-Wallis test for multiple group comparisons, Mann-WhitneyU test for pairwise comparisons, Chi-square test for categorical variables, and Spearman's rank correlation analysis to examine the correlations among air, dermal, and urinary cobalt levels. Results The 8 h time-weighted average (TWA) cobalt concentration was (2.30±2.15) μg·m⁻³ (\begin{document}$ \bar{x}\pm s $\end{document}). The median skin exposure level was 53.8 ng·cm⁻², with a range of 4.25 ng·cm⁻² to 1090.2 ng·cm⁻². The median urinary cobalt level was 3.74 µg·L⁻¹, with a range of 0.83 to 382.9 µg·L⁻¹. Statistically significant differences in TWA cobalt concentration, skin exposure levels, and urinary cobalt levels were found between different work positions (H=9.012, P=0.029; H=16.348, P＜0.001; H=11.078, P=0.011). A positive correlation was observed between skin exposure levels and urinary cobalt levels (r=0.537, P＜0.01). Conclusion Skin contact may be one of the main sources of cobalt levels in urine. Therefore, it is essential for workers to improve skin protection and hygiene practices.

Acute lung injury （ALI） is a clinically critical disease with limited treatment options and poor prognosis， with high morbidity and mortality. Pulmonary inflammation caused by trauma， infection， and other factors in vivo and in vitro can damage alveolar epithelial and vascular endothelial barriers， resulting in lung tissue congestion and edema and eventually leading to significant dyspnea and hypoxemia， It can further develop into acute respiratory distress syndrome. Oxidative stress is one of the pathogenesis of ALI. A large number of reactive oxygen species （ROS） can promote the aggregation of inflammatory cells， increase pulmonary capillary permeability， and even directly damage lung tissue. Therefore， regulating oxidative stress becomes one of the effective means to reduce the degree of lung injury. According to the theory of traditional Chinese medicine （TCM）， ALI is divided into the categories of "sudden wheezing" and "dyspnea due to wheezing". TCM treats the causes of dampness， heat， poison， and stasis by syndrome differentiation and treatment， regulates Qi and blood， and balances Yin and Yang to restore the physiological function of the lung. In recent years， a large number of studies have shown that TCM can regulate ROS through multiple targets and mechanisms and play a role in reducing lung inflammation and protecting alveolar epithelial cells and endothelial vessels， in which the nuclear factor E₂ associated factor 2 （Nrf2） antioxidant pathway plays an important role. Based on the generation and clearance of ROS， this article summarized the related mechanisms of TCM monomers， TCM pairs， and TCM compounds in regulating oxidative stress to prevent ALI， so as to provide theoretical reference for the research and development of new TCM for ALI and clinical treatment.

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 compare the hepatic bile acid profile between a mouse model of metabolic-associated steatohepatitis （MASH） induced by a high-fat， high-sugar， and high-cholesterol diet combined with intraperitoneal injection of 10% carbon tetrachloride （CCl₄） and MASH cases in clinical practice， and to investigate the feasibility of this model in studying drug interventions on bile acid profile in MASH. MethodsA total of 30 male C57BL/6J mice were randomly divided into control group and model group， with 15 mice in each group. The mice in the control group were given normal diet and drinking water and weekly injections of olive oil， and those in the model group were given a high-fat， high-sugar， and high-cholesterol diet， high-sugar drinking water， and weekly injections of CCl₄+olive oil. At the end of weeks 8， 12， and 16， 5 mice were selected from each group to collect samples. Behavioral assessments were performed， and body weight and liver wet weight were measured； liver pathology and lipid deposition were evaluated by HE staining， SAF scoring， oil Red O staining， the semi-quantitative analysis of stained area， the serum levels of alanine aminotransferase （ALT） and aspartate aminotransferase （AST）， and liver triglyceride （TG） content； Sirius Red staining was performed for liver tissue to assess liver fibrosis； ultra-performance liquid chromatography-tandem mass spectrometry and targeted metabolomics were used to measure the hepatic bile acid profile， including cholic acid （CA）， glycocholic acid （GCA）， chenodeoxycholic acid （CDCA）， glycochenodeoxycholic acid （GCDCA）， ursodeoxycholic acid （UDCA）， tauroursodeoxycholic acid （TUDCA）， hyodeoxycholic acid （HDCA）， and glycodeoxycholic acid （GDCA）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between two groups. ResultsCompared with the control group at the same time point， the model group had disheveled and dull fur， reduced activity， and relatively slow reactions at weeks 8， 12， and 16， as well as significant increases in liver wet weight （P<0.05）， the serum level of ALT （P<0.05）， the content of TG in the liver （P<0.05）， and SAF score （P<0.05）. As for the differentially expressed bile acids in liver tissue， compared with the control group at week 8， the model group had significantly higher levels of CA and CDCA and significantly lower levels of UDCA， TUDCA， HDCA， and GDCA （all P<0.05）； compared with the control group at week 12， the model group had significantly higher levels of CA， GCA， CDCA， and GCDCA and significantly lower levels of UDCA and HDCA （all P<0.05）； compared with the control group at week 16， the model group had significantly higher levels of CA， GCA， CDCA， GCDCA， and TUDCA and significantly lower levels of UDCA， HDCA， and GDCA （all P<0.05）. As for the differentially expressed bile acids in the bile acid pool of liver tissue， compared with the control group at week 8， the model group had significantly higher levels of CA and CDCA and significantly lower levels of UDCA， TUDCA， GDCA， and HDCA （all P<0.05）； compared with the control group at weeks 12 and 16， the model group had significantly higher levels of GCA and GCDCA and significantly lower levels of UDCA， GDCA， and HDCA （all P<0.05）. ConclusionThere are significant changes in the hepatic bile acid profile in a mouse model of MASH induced by a high-fat， high-sugar， and high-cholesterol diet combined with CCl₄， which are similar to the changes in bile acids in MASH cases in clinical practice， suggesting that this model can be used to explore the interventional effect of drugs on the bile acid profile in MASH.

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 construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

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 analyze the quantity transfer rule in the processing of Astragalus membranaceus before and after moistening-soaking and steaming-soaking followed by cutting. METHODS Three batches of A. membranaceus decoction pieces processed through moistening-soaking and steaming-soaking followed by cutting were prepared. The HPLC overlapping fingerprints of A. membranaceus and its decoction pieces were established through the Similarity Evaluation System of Chromatographic Fingerprints of TCM （2012 edition）. Combined with the previous qualitative analysis results， the common peaks were identified， the changes of common peak area were analyzed， and the principal component analysis was carried out. The contents of calycosin-7-glucoside， astragaloside Ⅰ and astragaloside Ⅳ in A. membranaceus and its decoction pieces were determined by HPLC， and the content differences of each component in different samples were compared. RESULTS The results of fingerprint analysis showed that 17 common peaks were identified. After steaming-soaking and moistening-soaking of A. membranaceus， the proportion of common peak area in the decoction pieces changed compared with the original medicine （for example， in A. membranaceus steaming-soaking decoction pieces， the proportion of peak area of malonyl calycosin-7-glucoside and malonyl astragaloside Ⅰ decreased， while the proportion of peak area of calycosin-7-glucoside increased）. The results of principal component analysis showed that A. membranaceus， and its decoction pieces after moistening-soaking and steaming-soaking followed by cutting were all clustered into one category respectively. The results of content determination showed that， compared with A. membranaceus， the average content of calycosin-7-glucoside in A. membranaceus moistening-soaking decoction pieces was significantly reduced （P＜0.05）； the average contents of calycosin-7-glucoside and astragaloside Ⅳ in A. membranaceus steaming- soaking decoction pieces were significantly increased （P＜0.05）； there was no significant difference in the average content of astragaloside Ⅳ in A. membranaceus moistening-soaking decoction pieces and astragaloside Ⅰ in the two decoction pieces （P＞ 0.05）. CONCLUSIONS There are differences in the quantity transfer rules of A. membranaceus before and after moistening-soaking and steaming-soaking followed by cutting. Steaming-soaking followed by cutting may make the transformation of unstable components （such as malonyl calycosin-7-glucoside and malonyl astragaloside Ⅰ） more complete.

Objective: To investigate the objective characteristics of tongue manifestation in different stages of damp-heat syndrome in diabetic kidney disease (DKD). Methods: A cross-sectional study enrolled 134 patients with DKD G3-5 stages who met the diagnostic criteria for damp-heat syndrome in DKD. The patients were treated at Dongzhimen Hospital, Beijing University of Chinese Medicine, from May 2023 to January 2024. The patients were divided into three groups: DKD G3, DKD G4, and DKD G5 stage, with 53, 33, and 48 patients in each group, respectively. Clinical general data (gender, age, and body mass index) and damp-heat syndrome scores were collected from the patients. The YZAI-02 traditional Chinese medicine (TCM) AI Tongue Image Acquisition Device was used to capture tongue images from these patients. The accompanying AI Open Platform for TCM Tongue Diagnosis of the device was used to analyze and extract tongue manifestation features, including objective data on tongue color, tongue quality, coating color, and coating texture. Clinical data and objective tongue manifestation characteristics were compared among patients with DKD G3-5 based on their DKD damp-heat syndrome status. Results: No statistically significant difference in gender or body mass index was observed among the three patient groups. The DKD G3 stage group had the highest age (P<0.05). The DKD G3 stage group had a lower score for symptoms of poor appetite and anorexia(P<0.05) than the DKD G5 group. No statistically significant difference was observed in damp-heat syndrome scores among the three groups. Compared with the DKD G5 stage group, the DKD G3 stage group showed a decreased proportion of pale color at the tip and edges of the tongue (P<0.05). The DKD G4 stage group exhibited an increased proportion of crimson at the root of the tongue, a decreased proportion of thick white tongue coating at the root, a decreased proportion of pale color at the tip and edges of the tongue, an increased hue value (indicating color tone) of the tongue color in the middle, an increased brightness value (indicating color lightness) of the tongue coating color in the middle, and an increased thickness of the tongue coating (P<0.05). No statistically significant difference was observed in other tongue color proportions, color chroma values, body characteristics, coating color proportions, coating color chroma values, and coating texture characteristics among the three groups. Conclusion Tongue features differ in different stages of DKD damp-heat syndrome in multiple dimensions, enabling the inference that during the DKD G5 stage, the degree of qi and blood deficiency in the kidneys, heart, lungs, liver, gallbladder, spleen, and stomach is prominent. Dampness is more likely to accumulate in the lower jiao, particularly in the kidneys, whereas heat evil in the spleen and stomach is the most severe. These insights provide novel ideas for the clinical treatment of DKD.

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.