ObjectiveThe development trend and knowledge structure of the research on human use experience （HUE） of traditional Chinese medicine （TCM） were systematically reviewed， and the core challenges and future directions were identified. This study aims to provide reference for the construction of a scientific and feasible research and development framework and evidence transformation system. MethodsLiterature related to "human use experience" published from January 1， 2019 to July 31， 2025 was retrieved from the China National Knowledge Infrastructure （CNKI）， Wanfang， China Science and Technology Journal Database （VIP）， and PubMed databases. Bibliometric visualization was conducted using Excel， VOSviewer， and CiteSpace， followed by in-depth reading and thematic summarization of core literature. ResultsA total of 181 papers were included for bibliometric analysis， with 45 articles used for in-depth thematic mining. The analysis showed that the number of publications on HUE research has increased in a stepwise manner over the past five years. Yang Zhongqi （24 times） was the core of the author network， the journal with the highest number of publications was China Journal of Chinese Materia Medica， the institutions publishing the most articles were mainly research institutions， regulatory agencies， hospitals， and universities， high-frequency keywords included "new TCM drugs"， "real-world studies"， and "clinical comprehensive evaluation"， keyword clustering analysis formed three major clusters： Policy orientation， application fields， and methodological approaches. Thematic analysis reveals that HUE-based evaluation should be integrated throughout the research and development process， encompassing three dimensions： TCM theory， clinical value， and pharmaceutical fundamentals， with toxic herbs and compatibility contraindications being key foci. Data collection primarily relies on empirical data， while real-world data constitute the primary source for clinical research， with efficacy and safety as the shared core. Data management emphasizes quality control and statistical analysis； however， the management of bias and confounding remains a critical bottleneck in evidence transformation. In practice， HUE-based approaches have successfully supported the registration and evaluation of multiple categories of new TCM drugs. ConclusionThe research on HUE of TCM has formed a policy-driven pattern characterized by， rapid development and close link with regulatory practice. A technical framework covering the whole chain of research and development has been constructed with clinical value as the core， which provides methodological basis and strategy reference for the scientific transformation of HUE of TCM from "experience" to "evidence".

Objective To develop a predictive model for postoperative pulmonary complications (PPC) following video-assisted thoracic surgery (VATS) in lung cancer patients by integrating cardiopulmonary exercise testing (CPET) parameters and machine learning techniques. Methods A retrospective analysis was conducted on patients with early-stage non-small cell lung cancer who underwent CPET and VATS at Guangdong Provincial People’s Hospital between October 2021 and July 2023. Patients were divided into a PPC group and a non-PPC group. The least absolute shrinkage and selection operator (LASSO) regression was used to select important features associated with PPC. Six machine learning algorithms were utilized to construct prediction models, including logistic regression, support vector machine, k-nearest neighbors, random forest, gradient boosting machine, and extreme gradient boosting. The optimal model was interpreted using SHapley Additive exPlanations (SHAP). Results A total of 325 patients were included, with an average age of 60.36 years, and 55.1% were male. Significant differences were observed between the PPC and non-PPC groups in age, diabetes, coronary heart disease, surgical approach, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FVC% predicted, peak oxygen uptake (peak VO2), anaerobic threshold (AT), and ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope) (P<0.05). In the predictive model constructed by selecting 7 key features using LASSO regression, the random forest model demonstrated the best overall performance across various metrics, with an area under the receiver operating curve of 0.930, an F1 score of 0.836, and a Brier score of 0.133 in the training set. It also exhibited good predictive ability and calibration in the test set. SHAP analysis ranked feature importance as follows: peak VO2, VE/VCO2 slope, age, FEV1, smoking history, diabetes, and surgical approach. Conclusion Integrating CPET parameters, the random forest model can effectively identify high-risk patients for PPC and has the potential for clinical application.

Objective To analyze the influencing factors of plastic bronchitis in children with Mycoplasma pneumoniae infection and put forward targeted prevention suggestions. Methods The clinical data of children with Mycoplasma pneumoniae infection who were admitted to Chengdu Third People's Hospital from September 2022 to February 2024 were retrospectively analyzed . According to whether plastic bronchitis occurred, they were divided into plastic group (n=118) and non-plastic group (n=184), and the differences between the two groups were compared and analyzed. Univariate and multivariate logistics regression analysis equations were used to analyze the independent influencing factors of plastic bronchitis in children with mycoplasma pneumoniae infection. Results Among the 302 children with Mycoplasma pneumoniae infection , 118 cases were diagnosed with plastic bronchitis. Analysis showed that the children’s age, duration of fever, hospital stay, pleural effusion rate, number of bronchoscopic lavage, allergy history, endoscopic mucosal erosion rate, WBC, NE%, LY%, CRP, LDH, PCT and D-D were the single factors influencing the occurrence of plastic bronchitis in children with mycoplasma pneumoniae infection. Binary logistics regression analysis revealed that age (OR=2.137, P=0.033, 95% CI: 1.132-16.603), allergy history （OR=3.028, P=0.014, 95% CI: 1.261-864), NE% (OR=2.395, P=0.031, 95% CI: 1.087-5.274), CRP (OR=3.864, P=0.004, 95% CI: 1.563-3.864), PCT (OR=4.125, P=0.001, 95% CI: 1.793-3.864), and D-D (OR=3.920, P=0.002, 95% CI: 1.632-3.864) were independent risk factors for plastic bronchitis in children with mycoplasma pneumoniae infection (P<0.05). Conclusion Age, allergy history, NE%, CRP, PCT and D-D are independent risk factors for plastic bronchitis in children with mycoplasma pneumoniae infection . It is necessary to take clinical intervention measures to reduce the occurrence risk.

ObjectiveTo observe the effect of Zishen Tiaogan prescription on the oxidative stress injury in the rat model of diminished ovarian reserve （DOR） and explore the role of the Kelch-like ECH-associated protein 1 （Keap1）/nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway. MethodsForty-eight female SD rats were randomly assigned into a normal group （n=12） and a modeling group （n=36）. The rats in the modeling group received subcutaneous injection of galactose （350 mg·kg^-1） combined with immobilization stress daily. After 28 days of modeling， 6 rats in the normal group and 6 rats in the modeling group were sacrificed to examine the modeling results. The successfully modeled rats were assigned into model， estradiol valerate （0.09 mg·kg^-1）， and low-， medium-， and high-dose （6.39， 12.78， 25.56 g·kg^-1， respectively） Zishen Tiaogan prescription groups. The intervention lasted for 4 weeks with 6 animals per group. Hematoxylin-eosin staining was used to observe the estrous cycle and the pathological changes in the ovarian tissue. The ovarian index was calculated. Enzyme-linked immunosorbent assay was employed to measure the serum levels of sex hormones and oxidative stress-related indexes. Western blot and real-time PCR were employed to determine the protein and mRNA levels， respectively， of Nrf2， Keap1 and HO-1 in the ovarian tissue. The positive expression of superoxide dismutase 2 （SOD2） in the ovarian tissue was detected by immunohistochemistry （IHC）. ResultsCompared with the normal group， the model group showed reduced follicles in the ovary， loose arrangement of the follicle granule layer， declined levels of anti-Mullerian hormone （AMH） and estradiol （E₂） in the serum， elevated levels of luteinizing hormone （LH） and follicle-stimulating hormone （FSH） （P<0.01）， lowered levels of superoxide dismutase （SOD）， catalase （CAT）， and glutathione （GSH） （P<0.01）， and increased accumulation of malondialdehyde （MDA） （P<0.01）. In addition， the modeling led to up-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 and HO-1 protein was significantly decreased （P<0.01）， the mRNA expression of Nrf2 was significantly decreased （P<0.05）， the mRNA expression of HO-1 was significantly decreased （P<0.01）， in the ovarian tissue. Compared with model group， the estradiol valerate and low-， medium-， and high-dose Zishen Tiaogan prescription groups showed increases in the ovarian index （P<0.01） and serum E₂ and AMH levels （P<0.01）， declined levels of FSH and LH （P<0.01）， increased follicles in the ovary， elevated levels of SOD， CAT， and GSH， and reduced accumulation of MDA （P<0.05， P<0.01）. Furthermore， these groups showcased down-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 protein was significantly increased （P<0.01）， the expression level of HO-1 protein was increased （P<0.05，P<0.01）， and increased positive expression of SOD2 （P<0.01）. ConclusionZishen Tiaogan prescription can regulate the serum levels of hormones， down-regulate the expression of Keap1， up-regulate the expression of Nrf2， HO-1， and SOD2， enhance the antioxidant capacity， and reduce the peroxidation damage in the ovarian tissue to improve the ovarian reserve function in the rat model of DOR. High-dose Zishen Tiaogan prescription demonstrated the best effect and the mechanism is associated with the regulation of the Keap1/Nrf2/HO-1 pathway.

ObjectiveTo observe the effect of Zishen Tiaogan prescription on the oxidative stress injury in the rat model of diminished ovarian reserve （DOR） and explore the role of the Kelch-like ECH-associated protein 1 （Keap1）/nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway. MethodsForty-eight female SD rats were randomly assigned into a normal group （n=12） and a modeling group （n=36）. The rats in the modeling group received subcutaneous injection of galactose （350 mg·kg^-1） combined with immobilization stress daily. After 28 days of modeling， 6 rats in the normal group and 6 rats in the modeling group were sacrificed to examine the modeling results. The successfully modeled rats were assigned into model， estradiol valerate （0.09 mg·kg^-1）， and low-， medium-， and high-dose （6.39， 12.78， 25.56 g·kg^-1， respectively） Zishen Tiaogan prescription groups. The intervention lasted for 4 weeks with 6 animals per group. Hematoxylin-eosin staining was used to observe the estrous cycle and the pathological changes in the ovarian tissue. The ovarian index was calculated. Enzyme-linked immunosorbent assay was employed to measure the serum levels of sex hormones and oxidative stress-related indexes. Western blot and real-time PCR were employed to determine the protein and mRNA levels， respectively， of Nrf2， Keap1 and HO-1 in the ovarian tissue. The positive expression of superoxide dismutase 2 （SOD2） in the ovarian tissue was detected by immunohistochemistry （IHC）. ResultsCompared with the normal group， the model group showed reduced follicles in the ovary， loose arrangement of the follicle granule layer， declined levels of anti-Mullerian hormone （AMH） and estradiol （E₂） in the serum， elevated levels of luteinizing hormone （LH） and follicle-stimulating hormone （FSH） （P<0.01）， lowered levels of superoxide dismutase （SOD）， catalase （CAT）， and glutathione （GSH） （P<0.01）， and increased accumulation of malondialdehyde （MDA） （P<0.01）. In addition， the modeling led to up-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 and HO-1 protein was significantly decreased （P<0.01）， the mRNA expression of Nrf2 was significantly decreased （P<0.05）， the mRNA expression of HO-1 was significantly decreased （P<0.01）， in the ovarian tissue. Compared with model group， the estradiol valerate and low-， medium-， and high-dose Zishen Tiaogan prescription groups showed increases in the ovarian index （P<0.01） and serum E₂ and AMH levels （P<0.01）， declined levels of FSH and LH （P<0.01）， increased follicles in the ovary， elevated levels of SOD， CAT， and GSH， and reduced accumulation of MDA （P<0.05， P<0.01）. Furthermore， these groups showcased down-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 protein was significantly increased （P<0.01）， the expression level of HO-1 protein was increased （P<0.05，P<0.01）， and increased positive expression of SOD2 （P<0.01）. ConclusionZishen Tiaogan prescription can regulate the serum levels of hormones， down-regulate the expression of Keap1， up-regulate the expression of Nrf2， HO-1， and SOD2， enhance the antioxidant capacity， and reduce the peroxidation damage in the ovarian tissue to improve the ovarian reserve function in the rat model of DOR. High-dose Zishen Tiaogan prescription demonstrated the best effect and the mechanism is associated with the regulation of the Keap1/Nrf2/HO-1 pathway.

Background Obstructive sleep apnea (OSA) is a sleep disorder characterized by recurrent episodes of obstruction of the upper airway during sleep. Given the substantial number of OSA patients, it is urgently in need to address the burden on society. Current available evidence linking outdoor light at night (LAN) to OSA is scarce. Objective To explore the relationships regarding outdoor LAN and OSA among residents in Southern China. Methods A total of 3925 hospitalized patients in Guangdong Provincial People's Hospital Sleep Center were recruited between January 1, 2005 and December 31, 2015. The severity of OSA was determined by apnea-hypopnea index (AHI) using polysomnography or home sleep test. The annual Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS)-like LAN data with a 500 m spatial resolution were used to evaluate outdoor LAN levels of the participants 1, 3, and 5 years before undergoing sleep monitoring. Generalized linear regression models were utilized to examine the associations of outdoor LAN with OSA. Results The ORs (95%CIs) of OSA, mild OSA, and moderate OSA were 1.175 (1.021, 1.351), 1.215 (1.038, 1.421), and 1.195 (1.003, 1.425) respectively for per interquartile range (IQR) increment in three-year average outdoor LAN. The results of stratified analyses showed a higher OR of 1.933 (95%CI: 1.424, 2.637) in female than male participants (P _interaction < 0.001). Additionally, the ORs of OSA did not substantially change using one-year/ five-year instead of three-year average outdoor LAN. Conclusion Our findings demonstrate that an elevated outdoor LAN is significantly associated with higher odds of OSA (especially mild and moderate OSA) in Southern China, especially in females. An effective outdoor LAN management and policy-making framework has been suggested as potential preventive measures to reduce burden of OSA.

Objective: To explore the relationship between parenting styles and depressive symptoms in adolescents with nightmare disorder, so as to provide a scientific basis for formulating effective family intervention measures and psychological counseling. Methods: From January 2023 to August 2024, 90 adolescents diagnosed with nightmare disorder and admitted to Hangzhou Seventh Peoples Hospital, along with 176 healthy controls from the urban areas of Hangzhou, were recruited as participants in the study. All participants were assessed using the Nightmare Experience Questionnaire (NEQ), Family Relationship Questionnaire (FRQ), and Plutchik-van Praag Selfreport Depression Scale (PVP). The ttest and Chisquare test were conducted to compare two groups. Pearson correlation and stepwise multiple linear regression were employed to explore the correlations between PVP and NEQ or FRQ. The Process model was used to testing the mediating effects among NEQ/FRQ/PVP. Results: The nightmare disorder group had higher scores in nightmare frequency, the four factors of NEQ (physical effect, negative emotion, meaning interpretation, horrible stimulation), and PVP than the healthy control group (24.86±18.89, 10.12±3.67, 19.01±3.51, 17.02±3.31, 15.14±3.26, 14.02±4.38; 2.34±1.04, 6.49±2.18, 17.63±4.76, 13.91±4.24, 12.40±4.49, 9.39±3.28)(t=15.79, 10.11, 2.43, 6.09, 5.14, 27.46, P<0.05). The nightmare disorder group reported significantly lower scores in FRQ general attachment and maternal encouragement than the healthy control group (7.22±2.81, 16.39±3.28) (t=-5.53, -4.95). In contrast, they exhibited significantly higher scores in maternal abuse, maternal dominance, paternal freedom release, and paternal dominance than the healthy control group (8.23±1.80, 13.11±3.73, 18.36±3.37, 12.04±3.29; 6.07±1.85, 8.48±3.80, 15.15±2.51, 9.47±3.03) (t=6.70, 8.96, 5.90, 7.04, P<0.01). The results of Pearson correlation analysis showed that, in the nightmare disorder group, the PVP score was positively correlated with negative emotion, nightmare frequency, maternal abuse, and maternal dominance score (r=0.14, 0.63, 0.26, 0.51, P<0.05). The results of multiple linear regression analysis showed that when using FRQ score to predict NEQ score, the adjusted R2 in the nightmare disorder group was 0.01-0.59. Mother abuse could prediced physical effect (β=0.33); maternal dominance significantly predicted negative emotion, horrible stimulation, and nightmare frequency (β=0.29, 0.30, 0.79); paternal freedom release could predict negative emotion (β=0.26), paternal dominance predicted both negative emotion and nightmare frequency (β=0.22, 0.45) (P<0.05). Mediation analysis further revealed that, in the nightmare disorder group, PVP scores served as a mediating variable between FRQ and NEQ. Conclusion Abusive, controlling, and neglectful family upbringing styles as well as depression maybe are key factors that may contribute to the development of nightmare disorder among adolescents.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.