Puji Xiaoduyin， a specialized formula for the swollen-head epidemic， was recorded in the Catalogue of Ancient Classical Formula （the Second Batch）-Han Medicine， published in September 2023. It had been inherited and developed by medical experts of successive generations and passed down to this day. This paper sorted out the historical evolution of this formula using bibliometric methods. It also comprehensively analyzed key information on the formula name， historical origin， drug dosage， herb origin， processing methods， decocting methods， function， and clinical applications. Additionally， this paper analyzed the application of this formula in both modern and ancient times. Results showed that the formula was first recorded as "Puji Xiaodu Yinzi" in LI Dongyuan's Proven Formulas written by LI Gao from the Jin dynasty. The medicinal composition and dosage were： Scutellariae Radix and Coptidis Rhizoma （20.65 g each）， Ginseng Radix et Rhizoma 12.39 g， Scrophulariae Radix， Citri Reticulatae Pericarpium， and Glycyrrhizae Radix et Rhizoma （8.26 g each）， Forsythiae Fructus， Arctii Fructus， Isatidis Radix， and Lasiosphaera Calvatia （4.13 g each）， Bombyx Batryticatus and Cimicifugae Rhizoma （2.891 g each）， Bupleuri Radix and Platycodonis Radix （8.26 g each）. These medicines were grounded to fine powder. One dose， including 20.65 g of the powder， was mixed with 600 mL of water and decocted to 300 mL. After abandoning slag， the medicine should be taken warm frequently. In the formula， Bombyx Batryticatus is stir-fired. With the effect of dispersing wind and clearing heat， removing stagnation and dissipating mass， the formula is specialized in swollen-head epidemic， pestilence， red and swelling head， face， and neck， dry mouth and tongue， as well as other diseases resulting from toxic heat stagnated in the upper jiao. The formula is widely used in treating diseases involving the respiratory， dermal， ophthalmologic， otolaryngologic， and nervous systems. The formula is most frequently used for respiratory diseases， with a wide range of symptoms including parotitis/mumps （66 times）， followed by tonsillitis （28 times）. In conclusion， the broadly applied formula has accurate efficacy and great development value.

Puji Xiaoduyin， a specialized formula for the swollen-head epidemic， was recorded in the Catalogue of Ancient Classical Formula （the Second Batch）-Han Medicine， published in September 2023. It had been inherited and developed by medical experts of successive generations and passed down to this day. This paper sorted out the historical evolution of this formula using bibliometric methods. It also comprehensively analyzed key information on the formula name， historical origin， drug dosage， herb origin， processing methods， decocting methods， function， and clinical applications. Additionally， this paper analyzed the application of this formula in both modern and ancient times. Results showed that the formula was first recorded as "Puji Xiaodu Yinzi" in LI Dongyuan's Proven Formulas written by LI Gao from the Jin dynasty. The medicinal composition and dosage were： Scutellariae Radix and Coptidis Rhizoma （20.65 g each）， Ginseng Radix et Rhizoma 12.39 g， Scrophulariae Radix， Citri Reticulatae Pericarpium， and Glycyrrhizae Radix et Rhizoma （8.26 g each）， Forsythiae Fructus， Arctii Fructus， Isatidis Radix， and Lasiosphaera Calvatia （4.13 g each）， Bombyx Batryticatus and Cimicifugae Rhizoma （2.891 g each）， Bupleuri Radix and Platycodonis Radix （8.26 g each）. These medicines were grounded to fine powder. One dose， including 20.65 g of the powder， was mixed with 600 mL of water and decocted to 300 mL. After abandoning slag， the medicine should be taken warm frequently. In the formula， Bombyx Batryticatus is stir-fired. With the effect of dispersing wind and clearing heat， removing stagnation and dissipating mass， the formula is specialized in swollen-head epidemic， pestilence， red and swelling head， face， and neck， dry mouth and tongue， as well as other diseases resulting from toxic heat stagnated in the upper jiao. The formula is widely used in treating diseases involving the respiratory， dermal， ophthalmologic， otolaryngologic， and nervous systems. The formula is most frequently used for respiratory diseases， with a wide range of symptoms including parotitis/mumps （66 times）， followed by tonsillitis （28 times）. In conclusion， the broadly applied formula has accurate efficacy and great development value.

Objective: To investigate the incidence, characteristics, and influencing factors of resolution discrepancies within the minipool (MP) testing model across Chinese blood station laboratories in 2024. Methods: A nationwide, multicenter, cross-sectional study was conducted, including 334 blood station laboratories that reported nucleic acid reactive data among enzyme immunoassay non-reactive samples. Of these, 296 laboratories adopted the pool resolution model, with a total of 12 536 273 samples tested. Systematic analysis was performed on resolution data, focusing on the MP-NAT reactivity rate, the pool resolution concordance rate, and the resolution discrepancy rate. Subgroup analyses were conducted based on reagent types, viral targets, and Ct values. Potential causes were further explored through laboratory surveys and re-examination of raw amplification curves. Results: In 2024, the national average MP-NAT reactivity rate was 0.15%. The overall pool resolution concordance rate was 57.86%, which showed a gradual decline as Ct values increased across all reagents. The national average resolution discrepancy rate was 0.081‱(102/12 536 273), with 17.91%(53/296) of laboratories reporting at least one discrepancy. Nine reagent types were associated with these events, exhibiting reagent-specific patterns. For Reagent A2, the predominant discrepancy was HBV reactive pools resolving as HIV (36.36%); for Reagent D1, HBV pools frequently resolved as HCV (38.89%); and for Reagent E, the most common pattern was HIV pools resolving as HBV (48.00%). These resolution discrepancies were strongly associated with high Ct values: the median pool Ct for HBV exceeded 38, while those for HCV and HIV both exceeded 40. Investigations across 16 laboratories revealed that most discrepant samples exhibited “tailing” amplification curves, with some cases linked to cross-contamination or reagent batch-specific issues. Conclusion: While the incidence of resolution discrepancies in the MP-NAT model remains low in China, variations exist across different reagents and laboratories. These discrepancies are closely associated with low viral load, reagent performance, and laboratory operational practices.

ObjectiveTo investigate the effects of Anmei Dan （AMD） on the expression of proteins in the C-X3-C motif chemokine ligand 1 （CX3CL1）/C-X3-C chemokine receptor 1 （CX3CR1） signaling pathway， hippocampal inflammation， and learning and memory in an aged sleep-deprived model. MethodsSixty aged C57 mice were randomly assigned into a control group， a model group， a melatonin group （1.3 mg·kg^-1·d^-1）， and high-， medium-， and low-dose AMD groups （26.26， 13.13， 6.565 g·kg^-1·d^-1， respectively）， with 10 mice per group. Continuous sleep deprivation was administered for 4 weeks through a custom-built sleep deprivation chamber. The cognitive function of mice was assessed via the Y-maze test. Histomorphological alterations in pyramidal cells of the hippocampal CA1 and DG regions were examined by hematoxylin-eosin （HE） and Nissl staining. Synaptic morphology in the hippocampus was visualized with Golgi staining. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of inflammatory cytokines interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） in the hippocampal tissue as well as the level of interleukin-10 （IL-10） in the prefrontal cortex. Real-time PCR was performed to detect markers of M1-type ［cluster of differentiation （CD） 86 and inducible nitric oxide synthase （iNOS）］ and M2-type ［CD206 and arginase 1 （Arg1）］ macrophages. Western blot was employed to quantify the protein levels of CX3CL1， CX3CR1， phosphorylated nuclear factor κB p65 subunit （p-NF-κB p65）， and phosphorylated p38 mitogen-activated protein kinase （p-p38 MAPK） in the hippocampus. Immunofluorescence double staining was performed to co-label CX3CR1 with ionized calcium-binding adapter molecule 1 （Iba-1） for observation of the co-localization of target proteins with microglia. ResultsCompared with the control group， the model group exhibited disrupted daily activity patterns with reduced spontaneous alternation rates （P<0.01）， disorganized morphology and arrangement of hippocampal neurons， accompanied by reduced numbers of Nissl bodies and dendritic spines （P<0.01）， upregulated protein levels of IL-6， IL-10， IL-1β， TNF-α， CX3CL1， CX3CR1， p-NF-κB p65， p-p38 MAPK， and Iba-1 and mRNA levels of CD86 and iNOS （P<0.01）， and downregulated mRNA levels of CD206 and Arg1 （P<0.05，P<0.01）. Compared with the model group， the melatonin group and medium- and high-dose AMD groups showed increased spontaneous alternation rates （P<0.01）， improved neuronal morphology， number， and spine density in the hippocampal CA1 and DG regions （P<0.01）， declined levels of IL-6， IL-10， IL-1β， and TNF-α （P<0.05， P<0.01）， downregulated protein levels of CX3CL1， CX3CR1， p-NF-κB p65， p-p38 MAPK， and Iba-1 and mRNA levels of CD86 and iNOS， and upregulated mRNA levels of CD206 and Arg1 （P<0.01）. ConclusionAMD may improve the learning and memory in aged sleep-deprived mice by mediating neuroinflammation through the CX3CL1/CX3CR1 signaling pathway.

Metabolic dysfunction-associated fatty liver disease （MAFLD） is a chronic liver disease closely related to metabolic dysfunction. Its global prevalence is increasing year by year and shows a trend toward younger onset. It is closely associated with cardiovascular and cerebrovascular diseases， chronic kidney disease， and extrahepatic malignant tumors， and has become a major public health problem affecting the health of the Chinese population. At present， the treatment of MAFLD mainly focuses on lifestyle intervention. When metabolic cardiovascular risk factors and liver injury are present， pharmacological intervention is required. However， there is still no specific drug therapy for MAFLD. In recent years， many studies have found that the pathogenesis of MAFLD involves interactions among multiple factors， including insulin resistance， oxidative stress， endoplasmic reticulum stress， programmed cell death， immune dysregulation， inflammasomes， gut microbiota imbalance， and bile acid metabolism. Traditional Chinese medicine （TCM） has advantages in integrated regulation with multiple components and multiple targets， and shows significant efficacy in the treatment of MAFLD. Active components of Chinese medicinal herbs and Chinese medicine compound formulas exert definite therapeutic effects by regulating multiple signaling pathways to improve lipid metabolism disorders， inhibit inflammatory responses， and regulate the gut microbiota， thereby effectively improving clinical symptoms and delaying the occurrence and development of MAFLD. Therefore， strengthening research on the mechanisms of action of TCM in MAFLD is of crucial importance and significance for its treatment. This article summarizes the mechanisms by which Chinese medicine monomers and compound formulas intervene in MAFLD through the regulation of related signaling pathways， based on the retrieval and analysis of relevant literature from multiple databases， with the aim of providing theoretical support and a reference basis for the clinical application of TCM in the treatment of MAFLD.

ObjectiveThis paper aims to systematically collect and organize ancient and modern clauses and studies containing Xieqingwan， excavate and analyze the key information of Xieqingwan， and provide a reference for facilitating the development of the classic formula Xieqingwan. MethodsThe composition， dosage， decocting methods， usage， and other key information of Xieqingwan in ancient traditional Chinese medicine books were collected and analyzed by means of literature research and metrological methods. The modern clinical application of Xieqingwan was summarized. ResultsA total of 42 pieces of effective data involving 32 ancient traditional Chinese medicine books were collected. Xieqingwan was first recorded in Xiaoer Yaozheng Zhijue. The drug origin of this formula is basically clear in the ancient traditional Chinese medicine books. The modern drug usage and decocting method were as follows： Angelicae Sinensis Radix， Gentianae Radix et Rhizoma， Chuanxiong Rhizoma， Gardenia seeds， Radix et Rhizoma Rhei， Notopterygii Rhizoma et Radix， and Saposhnikoviae Radix were grounded to fine powder， decocted with honey， and finally formed into pills with the size of a chicken head （1.5 g）. It was suggested that half a pill or one pill were taken for one dose with warm Lophatheri decoction and sugar. The indications and clinical application had developed from the recordings in Xiaoer Yaozheng Zhijue and evolved from pediatrics to ophthalmic otolaryngology， neurology， dermatology， digestion， and respiratory diseases. The main pathogenesis of these diseases is heat in the liver meridian and is treated. The effect of Xieqingwan is "clearing away heat and toxicity， removing fire and relaxing the bowels， and dispersing swelling and relieving pain". It is recommended to use the corresponding preparation methods in the 2020 Edition of Pharmacopoeia of the People's Republic of China. Modern clinical studies are centered around the clinical application of Xieqingwan， which is often modified and used in treating Tourette syndrome， herpes， febrile convulsion， sleepwalking， and insomnia. ConclusionThis paper conducts a thorough textual research of the key information of Xieqingwan， induces its historic evolution， and confirms its key information， so as to provide a reference for the future development of Xieqingwan.

Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.

Objective Wearable devices refer to a class of monitoring devices that can be tightly integrated with the human body and are designed to continuously monitor individual's activity without impeding or restricting the user's normal activities in the process. With the rapid advancement of chips, sensors, and artificial intelligence technologies, such devices have been widely used for patients with cardiovascular diseases who require continuous health monitoring. These patients require continuous monitoring of a number of physiological indicators to assess disease progression, treatment efficacy, and recovery in the early stages of the disease, during the treatment, and in the recovery period. Traditional monitoring methods require patients to see a doctor on a regular basis with the help of fixed devices and analysis by doctors, which not only increases the financial burden of patients, but also consumes medical resources and time. However, wearable devices can collect data in real time and transmit it directly to doctors via the network, thus providing an efficient and cost-effective monitoring solution for patients. In this paper, we will review the applications, advantages and challenges of wearable devices in the treatment of cardiovascular diseases, as well as the outlook for their future applications.

Gastric cancer （GC） has an insidious onset and is mostly diagnosed in the middle and late stages after clinical detection. It is one of the malignant tumors with high incidence and mortality rates in the world. At present， the treatment plans are optimized mainly in terms of surgery， radiotherapy， and intervention， while the endpoints of clinical trials， such as patients' overall survival， progression-free survival， and disease-free survival， are still unsatisfactory. Therefore， effectively delaying the dynamic inflammation-cancer transformation has become an urgent bottleneck in the prevention and treatment of GC. In 1920s， Professor Otto Warburg discovered the phenomenon that tumor cells can accelerate glycolysis. Since then， the abnormal metabolic network inside tumor cells has gradually entered into researchers' view， and the hot academic research topic of metabolic reprogramming has been proposed. Tumor cells can meet their own energy consumption and adapt to external changes by adjusting their metabolic pathways to achieve rapid proliferation. In recent years， traditional Chinese medicine （TCM） is resolutely pursuing innovation in inheritance and the continuous refinement of research has led to the precision-oriented transition of TCM theories. Therefore， linking TCM with the treatment of tumors and precancerous diseases has certain research connotations. The searching and review of the publications in this field revealed that the number of publications in tumor-related metabolism increased dramatically， while there were only a few studies using TCM as a therapeutic solution. The research group has long been committed to the study of precancerous lesions of gastric cancer （PLGC） in Chinese and Western medicine. This article explained the dynamic process of inflammation-cancer transformation from the perspective of spleen deficiency-Qi stagnation-collateral stasis. The molecules of hypoxia-inducible factor （HIF）-1α， cancer-Myc （c-Myc）， apolipoprotein E （APOE） and pyruvate kinase M2 （PKM2） were selected to reflect the biological connotation of inflammation-cancer transformation. The current achievements of TCM in regulating the metabolic reprogramming to intervene in inflammation-cancer transformation were summarized， with a view to providing more information for TCM to intervene in the inflammation-cancer transformation of gastric mucosa.

Gastric cancer （GC） has an insidious onset and is mostly diagnosed in the middle and late stages after clinical detection. It is one of the malignant tumors with high incidence and mortality rates in the world. At present， the treatment plans are optimized mainly in terms of surgery， radiotherapy， and intervention， while the endpoints of clinical trials， such as patients' overall survival， progression-free survival， and disease-free survival， are still unsatisfactory. Therefore， effectively delaying the dynamic inflammation-cancer transformation has become an urgent bottleneck in the prevention and treatment of GC. In 1920s， Professor Otto Warburg discovered the phenomenon that tumor cells can accelerate glycolysis. Since then， the abnormal metabolic network inside tumor cells has gradually entered into researchers' view， and the hot academic research topic of metabolic reprogramming has been proposed. Tumor cells can meet their own energy consumption and adapt to external changes by adjusting their metabolic pathways to achieve rapid proliferation. In recent years， traditional Chinese medicine （TCM） is resolutely pursuing innovation in inheritance and the continuous refinement of research has led to the precision-oriented transition of TCM theories. Therefore， linking TCM with the treatment of tumors and precancerous diseases has certain research connotations. The searching and review of the publications in this field revealed that the number of publications in tumor-related metabolism increased dramatically， while there were only a few studies using TCM as a therapeutic solution. The research group has long been committed to the study of precancerous lesions of gastric cancer （PLGC） in Chinese and Western medicine. This article explained the dynamic process of inflammation-cancer transformation from the perspective of spleen deficiency-Qi stagnation-collateral stasis. The molecules of hypoxia-inducible factor （HIF）-1α， cancer-Myc （c-Myc）， apolipoprotein E （APOE） and pyruvate kinase M2 （PKM2） were selected to reflect the biological connotation of inflammation-cancer transformation. The current achievements of TCM in regulating the metabolic reprogramming to intervene in inflammation-cancer transformation were summarized， with a view to providing more information for TCM to intervene in the inflammation-cancer transformation of gastric mucosa.