ObjectiveTo explore the effect of Shenge Bushen Capsules （SBC） on sexual development in normal 3-week-old mice. MethodsThe experiment consisted of two parts. In the first part， mice were divided into four groups： The control group and the low， medium， and high-dose SBC groups （234.7， 469.4， 938.7 mg·kg^-1， respectively）. In the second part， mice were divided into four groups： Control group， Pseudostellariae Radix polysaccharide （PRP） group， total flavonoids group， and SBC group， all receiving a dose of 469.4 mg·kg^-1. After 7 days of administration， the vaginal opening of female mice and the descent of testes and scrotum in male mice， as well as the ovarian and testicular organ indices， were observed. After 4 weeks of administration， female and male mice were housed together for 2 days， and the pregnancy rate of females was monitored. After delivery， the pregnant female mice continued receiving the treatment for 4 weeks， and the sexual development of their offspring， including vaginal opening， testicular descent， and organ indices of ovaries and testes， was observed. Serum sex hormones were measured by enzyme-linked immunosorbent assay （ELISA）， and the expression of gonadotropin-releasing hormone （GnRH） and growth hormone （GH） proteins in the hypothalamus was assessed by Western blot. ResultsCompared with the control group， there was no significant effect on the vaginal opening of female mice or the descent of testes in male mice after 7 days of SBC administration. After 4 weeks of administration， the pregnancy rate in the low-dose group was significantly reduced （P<0.05）， but no significant effects were observed in the other groups. The three doses of SBC did not significantly affect the ovarian or testicular organ indices， and there was no significant upregulation in the expression of GnRH or GH in the hypothalamus. The primary component of SBC， Pseudostellariae Radix polysaccharide， significantly reduced the vaginal opening in female mice after 7 days of administration （P<0.05）. After 4 weeks， the serum estradiol levels of non-pregnant female mice were decreased （P<0.05）， but there was no significant effect on the expression of GnRH or GH proteins in the hypothalamus of either male or female mice. Additionally， there were no significant effects on precocious puberty indicators， such as vaginal opening and testicular descent， in the offspring mice. ConclusionSBC does not significantly promote precocious puberty in young mice， and it does not have any noticeable effects on the pregnancy rate of adult mice or the sexual development of their offspring.

Objective: To analyze the features of unhealthy lifestyle patterns among primary and secondary school students in the nutrition improvement program for rural compulsory education students (NIPRCES) areas in China in 2021 and 2023, so as to provide data support for lifestyle promotion and healthy development among primary and secondary school students. Methods: Adopting a cluster random sampling method, data on primary and secondary students aged 7-15 years from nutrition and health surveillance of China NIPRCES in 2021 and 2023 were collected. The prevalence of unhealthy lifestyles among primary and secondary students such as physical inactivity, outdoor inactivity, excessive screen time, and sleep deprivation by gender, school section, urban/rural, and region were analyzed. The reporting rates of the above indicators among primary and secondary students were compared by Chi-square test. Results: In 2021 and 2023, the rates of moderate to vigorous physical inactivity among primary and secondary school students were 79.2% and 80.4%, the rates of outdoor inactivity were 42.8% and 49.3%, the rates of excessive video time were 2.6% and 2.9%, the rates of sleep deprivation were 32.9% and 22.6%, and the differences were statistically significant( χ 2=51.86,1 071.48,18.36,3 296.99, P <0.05). In 2023, the rate of outdoor inactivity for primary and secondary students increased by 6.5 percentage points compared with 2021, and the rate of sleep deprivation decreased by 10.3 percentage points compared with that in 2021. In 2021 and 2023, the reporting rates of moderate to vigorous physical inactivity, outdoor inactivity, and sleep deprivation among girls and junior high school students were higher than those among boys ( χ 2=174.41,180.11; 175.75, 85.46 ;92.22,151.35) and elementary school students ( χ 2=136.64,5.75; 40.55,4.71;162.80,3 291.61); the reporting rates of moderate to vigorous physical inactivity( χ 2=194.43,118.60) and sleep deprivation ( χ 2=969.66,983.72) among urban students were higher than those among rural students; the reporting rates of excessive video time for boys and junior high school students were higher than those for girls ( χ 2=103.62,84.85) and elementary school students ( χ 2=810.09,626.51)( P <0.05). From a regional distribution perspective, the reporting rates of moderato to vigorous physical inactivity, outdoor inactivity, and excessive video time among primary and seconday school students in the central and western regions were lower than those in the eastern region ( χ 2= 663.44,302.78; 356.97,82.10;50.89,81.83) ( P <0.05). Conclusions Unhealthy lifestyles remain prevalent among primary and secondary students in NIPRCES areas of China. These findings underscore the need to strengthen policy implementation for promoting healthy lifestyles among primary and secondary school students.

ObjectiveTo systematically investigate the identification characteristics of medicinal amber， elucidate its microscopic features， crystal structural properties， and elemental composition， and thereby provide a scientific foundation for quality control and authenticity verification. MethodsThirty-nine batches of amber samples were collected and analyzed through integrated techniques including morphological analysis， microscopic identification， powder X-ray diffraction （XRD）， Raman spectroscopy， Fourier-transform infrared （FTIR） spectroscopy， and inductively coupled plasma mass spectrometry （ICP-MS） to evaluate their morphological attributes， phase composition， molecular vibrational modes， and trace element profiles. Among them， the XRD experiment used Cu Kα radiation （λ=1.540 6 Å）， with a scanning angle range of 10° to 70° （2θ） and a step size of 0.02°， the Raman spectroscopy experiment employed a 785 nm laser， with a spectral measurement range of 3 400 to 50 cm^-1， a laser power of 300 mW， a laser intensity of 30%， and a scanning time of 100 to 1 000 ms， the infrared spectroscopy experiment used a carbon-sulfur lamp， with a scanning range of 4 000 to 500 cm^-1， a resolution of 4 cm^-1， and 3 scans， the ICP-MS experiment utilized frequency power of 1.2 kW， a double-pass cyclonic spray chamber， a sample introduction system flow rate of 0.7-1.0 L·min^-1， and an auxiliary gas flow of 0.2 L·min^-1. ResultsUnder orthogonal polarized light microscopy， medicinal amber exhibited an isotropic homogeneous structure， with partial samples containing inorganic impurities such as AsS and SiO₂. FTIR spectra revealed characteristic absorption peaks at 2 932-2 939 cm^-1 （C-H stretching vibrations）， 1 705-1 728 cm^-1 （C=O stretching vibrations）， and 880-887 cm^-1 （C=C deformation vibrations）， confirming the oxidative polymerization of terpenoid resin. Raman spectroscopy further identified distinctive peaks at 2 925 cm^-1， 2 870 cm^-1 （saturated C-H stretching）， and 1 648 cm^-1 （C=C stretching）， consistent with the structural features of oxidized-polymerized resin. ICP-MS analysis demonstrated that S， Al， Si， Fe， Na， and Ca were the predominant trace elements in medicinal amber. ConclusionThis study comprehensively evaluated medicinal amber's morphological attributes， phase composition， molecular vibrational modes， and trace elements through multimodal analytical techniques. The findings establish data support for establishing quality standards for medicinal amber and distinguishing it from synthetic resin imitations.

ObjectiveTo systematically investigate the identification characteristics of medicinal amber， elucidate its microscopic features， crystal structural properties， and elemental composition， and thereby provide a scientific foundation for quality control and authenticity verification. MethodsThirty-nine batches of amber samples were collected and analyzed through integrated techniques including morphological analysis， microscopic identification， powder X-ray diffraction （XRD）， Raman spectroscopy， Fourier-transform infrared （FTIR） spectroscopy， and inductively coupled plasma mass spectrometry （ICP-MS） to evaluate their morphological attributes， phase composition， molecular vibrational modes， and trace element profiles. Among them， the XRD experiment used Cu Kα radiation （λ=1.540 6 Å）， with a scanning angle range of 10° to 70° （2θ） and a step size of 0.02°， the Raman spectroscopy experiment employed a 785 nm laser， with a spectral measurement range of 3 400 to 50 cm^-1， a laser power of 300 mW， a laser intensity of 30%， and a scanning time of 100 to 1 000 ms， the infrared spectroscopy experiment used a carbon-sulfur lamp， with a scanning range of 4 000 to 500 cm^-1， a resolution of 4 cm^-1， and 3 scans， the ICP-MS experiment utilized frequency power of 1.2 kW， a double-pass cyclonic spray chamber， a sample introduction system flow rate of 0.7-1.0 L·min^-1， and an auxiliary gas flow of 0.2 L·min^-1. ResultsUnder orthogonal polarized light microscopy， medicinal amber exhibited an isotropic homogeneous structure， with partial samples containing inorganic impurities such as AsS and SiO₂. FTIR spectra revealed characteristic absorption peaks at 2 932-2 939 cm^-1 （C-H stretching vibrations）， 1 705-1 728 cm^-1 （C=O stretching vibrations）， and 880-887 cm^-1 （C=C deformation vibrations）， confirming the oxidative polymerization of terpenoid resin. Raman spectroscopy further identified distinctive peaks at 2 925 cm^-1， 2 870 cm^-1 （saturated C-H stretching）， and 1 648 cm^-1 （C=C stretching）， consistent with the structural features of oxidized-polymerized resin. ICP-MS analysis demonstrated that S， Al， Si， Fe， Na， and Ca were the predominant trace elements in medicinal amber. ConclusionThis study comprehensively evaluated medicinal amber's morphological attributes， phase composition， molecular vibrational modes， and trace elements through multimodal analytical techniques. The findings establish data support for establishing quality standards for medicinal amber and distinguishing it from synthetic resin imitations.

Objective To explore the medication rules of Professor Hua Baojin in the treatment of subsolid pulmonary nodules through retrospective analysis and data mining techniques. Methods The prescriptions of patients with subsolid pulmonary nodules who were diagnosed and treated by Professor Hua Baojin at Guang’anmen Hospital of the Chinese Academy of Chinese Medical Sciences from January 1, 2021 to December 31, 2024 were retrospectively collected. Data were imported into the Ancient and Modern Medical Case Cloud Platform for analysis of drug frequency, four natures and five flavors, meridian tropism, drug association, and hierarchical clustering. Results A total of 455 prescriptions were included, containing 205 kinds of traditional Chinese medicines, with a total frequency of 12048 times. Fifty-seven commonly used drugs were screened out, among which drugs with high frequencies included astragalus membranaceus (raw) and hawthorn fruit (charred). The nature of the drugs was mainly warm, cold, and neutral. The flavor of the drugs was mostly sweet, bitter, and pungent. The meridians they belonged to mainly included the lung, spleen, and liver meridians. Their efficacy was mainly tonifying deficiency, clearing heat, resolving phlegm, and relieving cough and asthma. Association analysis obtained 19 pairs of drug combinations, 21 groups of three-drug combinations, and four groups of four-drug combinations. Hierarchical clustering obtained 10 groups of drug combinations. Conclusion On the basis of the core pathogenesis of subsolid pulmonary nodule, Professor Hua applies the theory of regulating qi and detoxifying; regulating the qi of the liver, spleen, and lung; and detoxifying the toxins of phlegm and blood stasis, providing valuable experience for the clinical treatment of SSN.

BackgroundNon-suicidal self-injury （NSSI） in adolescents is a serious global public health issue. Self-stigma is identified as a key factor hindering adolescents from seeking professional psychological help， while only a few studies have dealt with the self-stigma in adolescents with mood disorder exhibiting NSSI behavior. ObjectiveTo investigate the influencing factors of self-stigma among adolescents with mood disorder who exhibit NSSI behavior， and to examine the chained mediation role of self-esteem and social avoidance/distress in the relationship between NSSI behavior and self-stigma， with the aim of providing references for the detection and intervention of self-stigma in such patients. MethodsA total of 220 consecutive adolescent patients with mood disorder who met "the International Classification of Diseases， Tenth Edition"（ICD-10） diagnostic criteria for depressive disorder or depressive episode of bipolar disorder and attended the Fourth People's Hospital of Wuhu from November 2022 to November 2023 were recruited. The Adolescent Non-suicidal Self-injury Assessment Questionnaire （ANSAQ）， Internalized Stigma of Mental Illness （ISMI） Scale， Self-Esteem Scale （SES）， and Social Avoidance/Distress Scale （SADS） were employed to assess the participants. Correlation among variables was evaluated using Pearson's correlation coefficient. Multivariate linear regression analysis was utilized to identify the factors influencing self-stigma among adolescent patients with mood disorder exhibiting NSSI. The proposed mediating hypotheses were tested using Model 6 in the SPSS Process macro （version 3.0）. ResultsValid responses were received from 204/220 （92.73%） participants， including 153 cases with NSSI and 51 cases without NSSI. The NSSI （vs. no NSSI） group reported significantly higher scores on ISMI and SADS （t=-5.187， -4.564， P<0.01）， and lower scores on SES （t=4.478， P<0.01）. In the NSSI group， the total score of ISMI demonstrated a positive correlation with the total score of SADS and the behavioral questionnaire score in ANSAQ （r=0.644， 0.316， P<0.01）， and a negative correlation with the total score of SES （r=-0.724， P<0.01）. Multivariate linear regression analysis revealed that NSSI severity （β=0.132， P<0.05） and social avoidance/distress （β=0.309， P<0.01） were found to be positive predictors of the self-stigma， whereas self-esteem （β=-0.493， P<0.01） was a significant negative predictor of the self-stigma. Additionally， self-esteem and social avoidance/distress partially mediated the relationship between NSSI and self-stigma， with a mediating effect of 0.237 （95% CI： 0.103~0.374）， which constituted 55.89% of the total effect. The mediating effect included two paths： NSSI behavior→self-esteem→self-stigma （effect size was 0.163， 95% CI： 0.069~0.273） and NSSI behavior→self-esteem→social avoidance/distress→self-stigma （effect size was 0.063， 95% CI： 0.020~0.119）. ConclusionThe severity of NSSI can affect self-stigma in adolescents with mood disorders either directly through mediating self-esteem or indirectly through the chained mediation path of self-esteem and social avoidance/distress.［Funded by Scientific Research Projects of Wuhu Fourth People's Hospital in 2000（number，kjxm202203）］

Objective To explore the clinical information of female patients with pulmonary nodules and the distribution of traditional Chinese medicine (TCM) syndromes and their elements. Methods A cross-sectional study was conducted to collect the basic information, medical history data, image data, and four diagnostic information of female patients with pulmonary nodules. The distribution characteristics of TCM syndromes and their elements in female patients with pulmonary nodules were determined by KMO test, Bartlett spherical test, systematic cluster analysis, chi-square test, and other methods. Results A total of 721 female patients with pulmonary nodules were included in this study. The patients were mainly 45-59 years old, had secondary school education or above, and had a history of oil smoke exposure as clinical characteristics. The pulmonary nodules were mainly 6-10 mm in size and appeared as multiple and ground glass nodules. The clinical symptoms were mainly fatigue, emotional irritability, and shortness of breath. The main syndromes of disease location were the spleen, liver, and lung; and the main syndromes of disease were phlegm, dampness, and qi deficiency. The main complex syndromes were spleen deficiency and dampness, liver stagnation, and qi/yin deficiency. Conclusion Middle age, high education, and multiple small ground glass nodules are the clinical characteristics of female patients with pulmonary nodules. Exposure to oil smoke is an important cause of the occurrence of female pulmonary nodules. During treatment, attention should be paid to strengthening the spleen, removing dampness, soothing the liver, regulating and tonifying qi, and nourishing yin.

With the deepening application of artificial intelligence (AI) technology in the field of medical devices, pre-trained models have increasingly become a crucial engine driving innovation in intelligent healthcare due to their efficiency, generalization capability, and transfer learning performance. However, potential risks associated with pre-trained models—such as issues related to source diversity and quality controllability —pose new challenges to the safety and effectiveness of AI-based medical devices. Against this background, the National Medical Products Administration (NMPA) released the sectoral standard YY/T 1833.5-2024 Artificial Intelligence Medical Devices—Quality Requirements and Evaluation-Part 5: Pre-trained Models in September 2024. This standard provides essential technical guidance and a regulatory framework for standardizing the application of pre-trained models in medical devices, marking a milestone in ensuring the safety and efficacy of AI-powered medical products. This article offers an in-depth interpretation and analysis of the standard's background, orientation, and key technical consideration. It elucidates specific requirements regarding documentation for pre-trained models, definitions of critical quality attributes, and conformity assessment pathways. Furthermore, the practical and far-reaching implications of the standard are discussed, including its role in enhancing quality assurance throughout the entire lifecycle of AI-based medical devices and guiding technological innovation and healthy development within the industry. Additionally, by dissecting the standard, this article aims to support the industry in conducting prudent evaluations during model selection phases, thereby reducing the application of low-quality and high-risk models.

Cough variant asthma （CVA） is a special type of asthma and the most common cause of chronic cough in China. It has a relatively high incidence， seriously affects patients' quality of life， and in some cases may even progress to typical asthma， posing an important challenge in the field of health economics. At present， first-line treatment in Western medicine mainly consists of inhaled corticosteroids combined with bronchodilators. However， there remain many problems such as poor efficacy in some patients， frequent relapse after drug withdrawal， and poor compliance， making it urgent to improve treatment strategies. In-depth research on the pathogenesis is helpful for a comprehensive understanding and prevention of CVA. The pathogenesis of CVA is complex and involves multiple pathophysiological links. While similar to typical asthma， it still presents some differences. Traditional Chinese medicine （TCM） has unique advantages in the treatment of CVA. Guided by the theory of syndrome differentiation and treatment， TCM can not only improve the clinical symptoms of CVA but also prevent recurrence. In recent years， with the continuous deepening of research on the pathogenesis of CVA and on its treatment with TCM based on syndrome differentiation， related academic achievements have been updated year by year. A review of literature in China and abroad shows that the current pathogenesis of CVA can be summarized into six aspects： airway inflammation， airway remodeling， airway hyperresponsiveness， cough hypersensitivity， genetic factors， and imbalance of intestinal flora. TCM often differentiates and treats CVA from four perspectives： cause， disease location， disease nature， and disease tendency. This paper systematically summarizes the progress in the study of CVA pathogenesis， comprehensively collates the experience and clinical research evidence on its treatment with TCM based on syndrome differentiation， and discusses the problems existing in current research. On this basis， it puts forward suggestions and prospects for future research and development of TCM in the treatment of CVA， with a view to providing a theoretical basis and therapeutic approaches for its prevention and treatment.

ObjectiveTo study the effect of Taikong Yangxin Pills on the metabolism of simulated weightless rats based on metabolomics and discuss the metabolism mechanism. MethodsIn the simulated space capsule environment on the ground， the rat model of simulated weightlessness was established by the tail suspension method. Rats were randomly grouped as follows： out-of-capsule control， in-capsule control， model， and high （3.0 g·kg^-1） and low （1.5 g·kg^-1） doses of Taikong Yangxin Pills， and they were administrated with corresponding drugs by gavage for 28 days. The serum levels of endogenous metabolites in rats were determined by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF/MS）. The obtained data were processed by principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） to screen for differential metabolites and potential biomarkers. MetaboAnalyst 5.0 was used for pathway enrichment analysis to explain the metabolic regulation mechanism of the drug. ResultsCompared with the out-of-capsule control group， the in-capsule control group showed elevated levels of thirteen metabolites， including 14-hydroxyhexadecanoic acid， linoleic acid， and α-linolenic acid （P<0.05）， which suggested that the space capsule environment mainly affected the metabolism of α-linolenic acid and linoleic acid in the rats. Compared with the in-capsule control group， the model group showed lowered levels of fourteen metabolites， including 4-imidazolone-5-propionic acid， isocitric acid/citric acid， and L-tyrosine （P<0.05）， which were recovered after the treatment with Taikong Yangxin pills （P<0.05）. The pathway enrichment analysis revealed that weightlessness induced by tail suspension and drug intervention mainly involved the phenylalanine， tyrosine， and tryptophan biosynthesis， tyrosine metabolism， histidine metabolism， and citric acid cycle. ConclusionThe simulated space capsule environment and simulated weightlessness induced by tail suspension can both affect the metabolism level of rats. Taikong Yangxin pills can ameliorate the metabolic abnormality in the rat model of weightlessness by regulating various amino acids and energy metabolism-related pathways.