OBJECTIVE To investigate the efficacy and safety of omadacycline in the treatment of macrolide-unresponsive Mycoplasma pneumoniae pneumonia （MUMPP） in children. METHODS A retrospective study was conducted on children aged 1-18 years old with MUMPP who were hospitalized in the Department of Pediatrics， the First Affiliated Hospital of Xinjiang Medical University from January 2022 to June 2025. According to the selection of secondary antibiotics after 72 h of initial treatment with macrolides， they were divided into the omadacycline group and the doxycycline group. Based on conventional treatment， children in the omadacycline group were given intravenous infusion of 2.4 mg/kg （once daily） of omadacycline tosylate， while children in the doxycycline group were given oral doxycycline hydrochloride tablets at 2 mg/kg （twice daily）. The efficacy and safety were compared between the two groups of pediatric patients. Univariate analysis and multivariate Logistic regression analysis were performed on clinical efficacy， and subgroup analysis along with multiple sensitivity analyses were conducted to verify the robustness of the conclusions. RESULTS A total of 284 children with MUMPP were included in this study， with 142 in the omadacycline group and 142 in the doxycycline group. In terms of efficacy， although the hospitalization time of children in the omadacycline group was longer than that in the doxycycline group （ P ＜0.05）， the lung lesion absorption rate and clinical efficacy were significantly higher or better than those in the doxycycline group （ P ＜0.05）. The results of multivariate Logistic regression analysis showed that medication （OR＝5.300， 95%CI： 2.526-11.123）， length of hospital stay （OR＝1.348， 95%CI： 1.167-1.556）， and medication duration （OR＝1.422， 95%CI： 1.169-1.729） were influencing factors of clinical efficacy （ P ＜0.05）. The subgroup analysis results showed that the clinical efficacy of omadacycline was significantly better than that of doxycycline in all subgroups （ P ＜0.05）. The results of multiple sensitivity analysis showed that the regression coefficients B of the four models （gradually adjust variables） before and after inverse probability of treatment weighting were significantly greater than 1 （ P ＜0.05）. In terms of safety， there was no statistically significant difference in the inci dence of adverse drug reactions between the two groups of patients （ χ 2 ＝0.447， P ＝0.504）. CONCLUSIONS In the case of hospitalization and prolonged medication， the efficacy of omadacycline in treating childhood MUMPP is superior to that of doxycycline， and its safety is good.

Zoledronic acid (ZA), a nitrogen-containing bisphosphonate with established clinical utility in osteoporosis management, exhibits emerging antitumor potential in estrogen receptor-positive breast cancer. However, the molecular mechanisms underlying its nonapoptotic anticancer effects remain poorly characterized. This study revealed that ZA induced ferroptosis in ER+ breast cancer cells through dual suppression of cystine-glutamate antiporter SLC7A11 and glutathione peroxidase 4 (GPX4), key repressors of ferroptosis. Pharmacological inhibition of ferroptosis using Ferrostatin-1 significantly attenuated ZA-induced cytotoxicity, while combinatorial treatment with the GPX4 inhibitor RSL3 synergistically enhanced lipid peroxidation and cell death. Mechanistically, ZA activated the Hippo-YAP signaling pathway, promoting YAP phosphorylation, proteasomal degradation, and cytoplasmic retention, thereby silencing SLC7A11 and GPX4. We established a novel metabolic vulnerability in hormone-responsive malignancies.These findings position ZA as a bifunctional ferroptosis inducer in ER+ breast cancer, offering a promising strategy to overcome endocrine resistance.

Disruption of the intestinal mucosal barrier caused by gut dysbiosis and metabolic imbalance is the underlying pathology of inflammatory bowel disease (IBD). Traditional Chinese medicine Wuji Wan (WJW) is commonly used to treat digestive system disorders and showed therapeutic potential for IBD. In this interdisciplinary study, we aim to investigate the pharmacological effects of WJW against experimental colitis by combining functional metabolomics and gut-microbiota sequencing techniques. Treatment with WJW altered the profile of the intestinal microbiota and notably increased the abundance of Lactobacillus, thereby facilitating the conversion of tryptophan into indole-3-acetic acid (IAA) and indoleacrylic acid (IA). These indole derivatives activated the aryl hydrocarbon receptor (AhR) pathway, which reduced colonic inflammation and restored the expression of intestinal barrier proteins. Interestingly, the beneficial effects of WJW on gut barrier function improvement and tryptophan metabolism were disappeared in the absence of gut microbiota. Finally, pre-treatment with the AhR antagonist CH-223191 confirmed the essential role of IAA-mediated AhR activation in the therapeutic effects of WJW. Overall, WJW enhanced intestinal barrier function and reduced colonic inflammation in a murine colitis model by modulating Lactobacillus-IAA-AhR signaling pathway. This study provides novel insights into colitis pathogenesis and presents an effective therapeutic and preventive approach against IBD.

Objective:To observe the effect of electroacupuncture at the Shuigou point on systolic phenotype-related factors and on the JAK1/STAT3 signaling pathway of the middle cerebral artery smooth muscle cells in rats modeling cerebral infarction; and to explore the molecular mechanism of treating cerebral infarction with electroacupuncture.Methods:A total of 108 healthy male Wistar rats were randomly divided into a blank group ( n=6), a sham operation group ( n=6), a model group ( n=48) and an electroacupuncture group ( n=48). The model and electroacupuncture groups were randomly divided into eight phase subgroups at 1h, 3h, 6h, 12h, 24h, 72h, 7d and 14d after the modeling of middle cerebral artery occlusion (MCAO), with six rats in each group. The electroacupuncture groups received electric acupuncture at the Shuigou acupoint for 20min after successful modeling. Neurological Severity scoring (NSS) was used to evaluate the neurological impairment. PLN protein expression in the middle cerebral artery and the expression of JAK1 and STAT3 proteins in the rats′ brain tissue were detected using western blotting. PDGF-AA content in the middle cerebral artery was measured using enzyme-linked immunosorbent assays. Results:Compared with the blank and sham operation groups, the average NSS score and PDGF-AA protein expression had increased significantly in the model and electroacupuncture groups. PLN protein expression had decreased significantly at 12h-14d in the model group, but decreased significantly at 12h-7d in the electroacupuncture group. Compared with those two groups, there was a significant increase in JAK1 protein expression at 1h-72h, 3h-6h, 24h-72h, and14d in the model group. In the electroacupuncture group the corresponding significant increases were over 1h-14d, 1h-6h, 24h, 72h, and 14d. STAT3 protein expression had increased significantly in the model group over 6h-14d and 3h-14d. In the electroacupuncture group those increases were over 6h-14d. Compared to the model group, a significant increase was observed in the expression of PLN protein at 14d, with a significant decrease in NSS at 72h, 7d and 14d. PDGF-AA protein had increased significantly at 6h-7d. For JAK1 protein that was at 12h and 14d, and for STAT3 protein it was over 12h-72h and at 14d.Conclusion:Electroacupuncture at the Shuigou point may regulate the expression of PDGF-AA and the JAK/STAT signaling pathway so as to regulate the normal expression of PLN, and thus smooth muscle contraction to maintain the normal functioning of the middle cerebral artery. This may be one of the molecular mechanisms by which electroacupuncture at the Shuohui point improves nerve functioning in treating cerebral infarction.

ObjectiveTo explore the coercive experience of involuntarily hospitalized adolescents with mental disorders during the admission process and hospitalization， providing references for formulating targeted nursing interventions. MethodsSemi-structured interviews were conducted with 15 involuntarily hospitalized adolescents with mental disorders selected from October to December 2023， and the themes were summarized and extracted by content analysis. ResultsA total of 3 themes and 10 sub-themes were extracted， which were used to elaborate the essential contents， causes， and improvement methods of coercive experience. These encompassed the multi-dimensional content of coercive experience （complex emotional experience， different physical sensations， and contradictory cognitive evaluation）， the multi-faceted causes of coercive experience （insufficient personal preparation， inadequate parental communication， and strict medical management system）， as well as the phased improvement of coercive experience （adequate communication before hospitalization， patient notification before coercive intervention， respecting for demands during coercive intervention， and comforting explanation after coercive intervention）. ConclusionThe essential content of the coercive experience of involuntarily hospitalized adolescents with mental disorders is complex and has various causes， which require cooperation from multiple parties to improve. Therefore， parents should respect the expression of their children’s self-will， and medical staff should respect patients’ autonomy， establishing a protection-constrained doctor-patient relationship model and collaborating to reduce the use of coercive interventions， to improve the overall medical satisfaction of adolescents with mental disorders.

The classic formula Mulisan is the 45th of the 93 formulas in the Catalogue of Ancient Classic Formulas （second batch） of Han medicine published by the National Administration of Traditional Chinese Medicine. It consists of Ostreae Concha， Astragali Radix， Ephedrae Radix et Rhizoma， and wheat， with the effect of replenishing qi and stopping sweating. It is a common formula in the clinical treatment with traditional Chinese medicine. This study analyzes the historical evolution， composition， dosage， original plants and their processing methods， decocting method， efficacy， indications， and modern clinical application of Mulisan by tracing， comparative analysis， and bibliometric methods. The results showed that Mulisan firstly appeared in the Pulse Classic written by WANG Shuhe in the Western Jin Dynasty. The formulation idea can be traced back to the Important Prescriptions Worth a Thousand Gold for Emergency in the Tang Dynasty. The herb composition， dosage， efficacy， and indications of Mulisan were first recorded in the Treatise on Diseases， Patterns， and formulas Related to Unification of the Three Etiologies in the Southern Song dynasty. In terms of original plants and their processing methods， Ostreae Concha is the shell of Ostrea rivularis， which should be calcined before use. Astragali Radix and Ephedrae Radix et Rhizoma are the dried roots of Astragalus membranaceus var. mongholicus and Ephedra sinica， respectively， the raw material of which should be used. Wheat is the dried mature fruit of T. aestivum， which can be used without processing， while the stir-fried fruit， being thin and deflated， demonstrates better effect. The composition of Mulisan is Ostreae Concha 8.26 g， Astragali Radix 8.26 g， Ephedrae Radix et Rhizoma 8.26 g， and wheat 7.92 g. The medicinal materials should be ground into coarse powder and decocted with 450 mL water to reach a volume of 240 mL， and the decoction should be taken warm. In modern clinical practice， Mulisan has a wide range of indications， including spontaneous sweating and night sweating caused by Yang deficiency or Qi deficiency. The clinical disease spectrum treated by Mulisan involves endocrine system diseases， neurological diseases， respiratory system diseases， and cancer. This formula plays a significant role in the treatment of internal medicine diseases in traditional Chinese medicine. This study aims to provide a scientific basis for the subsequent research， development， and clinical application of Mulisan.

The classic formula Mulisan is the 45th of the 93 formulas in the Catalogue of Ancient Classic Formulas （second batch） of Han medicine published by the National Administration of Traditional Chinese Medicine. It consists of Ostreae Concha， Astragali Radix， Ephedrae Radix et Rhizoma， and wheat， with the effect of replenishing qi and stopping sweating. It is a common formula in the clinical treatment with traditional Chinese medicine. This study analyzes the historical evolution， composition， dosage， original plants and their processing methods， decocting method， efficacy， indications， and modern clinical application of Mulisan by tracing， comparative analysis， and bibliometric methods. The results showed that Mulisan firstly appeared in the Pulse Classic written by WANG Shuhe in the Western Jin Dynasty. The formulation idea can be traced back to the Important Prescriptions Worth a Thousand Gold for Emergency in the Tang Dynasty. The herb composition， dosage， efficacy， and indications of Mulisan were first recorded in the Treatise on Diseases， Patterns， and formulas Related to Unification of the Three Etiologies in the Southern Song dynasty. In terms of original plants and their processing methods， Ostreae Concha is the shell of Ostrea rivularis， which should be calcined before use. Astragali Radix and Ephedrae Radix et Rhizoma are the dried roots of Astragalus membranaceus var. mongholicus and Ephedra sinica， respectively， the raw material of which should be used. Wheat is the dried mature fruit of T. aestivum， which can be used without processing， while the stir-fried fruit， being thin and deflated， demonstrates better effect. The composition of Mulisan is Ostreae Concha 8.26 g， Astragali Radix 8.26 g， Ephedrae Radix et Rhizoma 8.26 g， and wheat 7.92 g. The medicinal materials should be ground into coarse powder and decocted with 450 mL water to reach a volume of 240 mL， and the decoction should be taken warm. In modern clinical practice， Mulisan has a wide range of indications， including spontaneous sweating and night sweating caused by Yang deficiency or Qi deficiency. The clinical disease spectrum treated by Mulisan involves endocrine system diseases， neurological diseases， respiratory system diseases， and cancer. This formula plays a significant role in the treatment of internal medicine diseases in traditional Chinese medicine. This study aims to provide a scientific basis for the subsequent research， development， and clinical application of Mulisan.

Objective: To explore the efficacy of pelvic floor optimization training of Yun-type with the aid of myoelectric biofeedback in the treatment of mild to moderate female stress urinary incontinence (SUI). Methods: Female SUI patients treated in our hospital during Jan.and Oct.2024 were included as the research subjects.They were randomly divided into the control group (n=47) and observation group (n=48) by random number method.The control group received conventional Yun-type pelvic floor optimization training，while the observation group received Yun-type pelvic floor optimization training assisted with myoelectric biofeedback.The total treatment course lasted for 12 weeks.The clinical efficacy，as well as the changes in international consultation on incontinence questionnaire for symptoms and impact (ICI-Q-SF)，incontinence quality of life (I-QoL)，female sexual function index (FSFI)，and pelvic floor electromyographic values before and after treatment were compared. Results: The total effective rate of the observation group was 93.6%，which was significantly higher than that of the control group (79.2%，P<0.05).After 12 weeks of treatment，the ICI-Q-SF [(6.12±1.11) vs. (6.97±1.24)]，I-QoL [(85.05±4.51) vs. (82.14±4.60)]，and FSFI [(30.01±4.10) vs. (26.32±3.32)] scores of the observation group were significantly better than those of the control group (P<0.05).After 12 weeks of treatment，the myoelectric values of the pelvic floor muscles of the observation group at the pre-rest stage，fast muscle (type Ⅱ muscle) stage，slow muscle (type Ⅰ muscle) stage，endurance test stage，and post-rest stage were significantly improved compared with those before treatment and were greatly enhanced compared with those of the control group (P<0.05).No serious adverse reactions occurred in either groups during treatment and follow-up. Conclusion: The Yun-type pelvic floor optimization training assisted with myoelectric biofeedback can precisely enhance the therapeutic effects of the conventional Yun-type pelvic floor optimization training，and significantly improve the female sexual function index.It is worthy of clinical promotion and application.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

ObjectiveTo investigate the modifiable areal unit problem （MAUP） in the spatial pattern of Pseudostellaria heterophylla production regions and reveal the impact of statistical scales on the spatial distribution characteristics of this medicinal plant species. MethodsUsing multi-source data （literature records， field surveys， and statistical data）， we systematically analyzed the spatial patterns across three administrative levels （provincial， prefectural， and county scales）. Spatial autocorrelation （Moran's I） analysis， high-low clustering （Getis-Ord General G）， and hot/cold spot analysis （Getis-Ord Gi*） were employed. ResultsThe literature-based analysis showed that the production regions of P. heterophylla presented random distribution on the provincial scale and significant aggregation on the prefectural scale. The field survey data showed that the production regions displayed random distribution on the provincial scale but significant aggregation on both prefectural and county scales. The statistical data revealed that the production regions lacked spatial autocorrelation on the provincial scale but demonstrated significant aggregation on prefectural and county scales. ConclusionMAUP effects have substantive implications for understanding and decision-making in the arrangement of medicinal plant production regions. The county scale proves to be the most sensitive and explanatory level for analyzing the spatial pattern of P. heterophylla production regions， providing a critical foundation for habitat modeling， suitability evaluation， and ecological cultivation planning of medicinal plants.