Based on LI Gao's Academic Thought， focusing on the process of qi transformation and taking the regulation and restoration of metabolism and immunity as the entry point， a "source-pivot-convergence" diagnostic and therapeutic model for malignant tumors is constructed. In this model， spleen and stomach internal injury is the source of malignant tumor occurrence， while the disorder of ascending and descending is the pivot of the disease development， and the generation of yin fire is the convergence of malignant tumor progression. Based on this， the three major therapeutic methods of clearing the source， harmonizing the pivot， and resolving the convergence are established. To fortify spleen and boost qi， consolidate the root and clear the source， modified Buzhong Yiqi Decoction（补中益气汤）can be used. To raise the clear and direct the turbid downward， regulate qi and harmonize the pivot， modified Shengyang Yiwei Decoction （升阳益胃汤） is suggested. To restore balance and promote circulation， disperse accumulation and resolve convergence， modified Shengyang Sanhuo Decoction （升阳散火汤） is selected. In clinical practice， these formulas can be used in combination according to the complexity of the pathogenesis， and further adapted with prescriptions for promoting dispersion and penetrating pathogenic factors， resolving phlegm and promoting circulation， activating blood and eliminating concretions， which can provide a reference for the prevention and treatment of tumor diseases.

Based on LI Gao's Academic Thought， focusing on the process of qi transformation and taking the regulation and restoration of metabolism and immunity as the entry point， a "source-pivot-convergence" diagnostic and therapeutic model for malignant tumors is constructed. In this model， spleen and stomach internal injury is the source of malignant tumor occurrence， while the disorder of ascending and descending is the pivot of the disease development， and the generation of yin fire is the convergence of malignant tumor progression. Based on this， the three major therapeutic methods of clearing the source， harmonizing the pivot， and resolving the convergence are established. To fortify spleen and boost qi， consolidate the root and clear the source， modified Buzhong Yiqi Decoction（补中益气汤）can be used. To raise the clear and direct the turbid downward， regulate qi and harmonize the pivot， modified Shengyang Yiwei Decoction （升阳益胃汤） is suggested. To restore balance and promote circulation， disperse accumulation and resolve convergence， modified Shengyang Sanhuo Decoction （升阳散火汤） is selected. In clinical practice， these formulas can be used in combination according to the complexity of the pathogenesis， and further adapted with prescriptions for promoting dispersion and penetrating pathogenic factors， resolving phlegm and promoting circulation， activating blood and eliminating concretions， which can provide a reference for the prevention and treatment of tumor diseases.

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.

ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

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.

This study investigated the role of the nuclear factor of activated T cells c3 (NFATc3) in vascular smooth muscle cells (VSMCs) during aortic aneurysm and dissection (AAD) progression and the underlying molecular mechanisms. Cytoplasmic and nuclear NFATc3 levels were elevated in human and mouse AAD. VSMC-NFATc3 deletion reduced thoracic AAD (TAAD) and abdominal aortic aneurysm (AAA) progression in mice, contrary to VSMC-NFATc3 overexpression. VSMC-NFATc3 deletion reduced extracellular matrix (ECM) degradation and maintained the VSMC contractile phenotype. Nuclear NFATc3 targeted and transcriptionally upregulated matrix metalloproteinase 9 (MMP9) and MMP2, promoting ECM degradation and AAD development. NFATc3 promoted VSMC phenotypic switching by binding to eukaryotic elongation factor 2 (eEF2) and inhibiting its phosphorylation in the VSMC cytoplasm. Restoring eEF2 reversed the beneficial effects in VSMC-specific NFATc3-knockout mice. Cabamiquine-targets eEF2 and inhibits protein synthesis-inhibited AAD development and progression in VSMC-NFATc3-overexpressing mice. VSMC-NFATc3 promoted VSMC switch and ECM degradation while exacerbating AAD development, making it a novel potential therapeutic target for preventing and treating AAD.

ObjectiveBased on the conjoint analysis of transcriptome and metabolome， the key genes in the phenylpropanoid biosynthesis pathway of Lonicera macranthoides were explored， which provided a basis for further exploring the synthesis and regulation mechanism of phenylpropanoid compounds in "Xianglei" L. macranthoides. MethodsThe stem， leaves， and three flowering flowers of "Xianglei" L. macranthoides were selected as experimental materials to construct transcriptome and metabolome. The transcriptome and metabolomics were conjointly analyzed by the Kyoto Encyclopedia of Genes and Genomes （KEGG） database and weighted correlation network analysis （WGCNA）， and the key genes in the phenylpropanoid biosynthesis pathway of L. macranthoides were explored. ResultsIn this study， 77 differential phenylpropanoids and 315 differential genes were found. Through the joint analysis of transcription and metabolism， nine key differential metabolites and four key genes related to them were finally discovered. Among them， cinnamic acid， 5-O-caffeoylshikimic acid，sinapyl alcohol， and chlorogenic acid were higher in flowers， and the content of the iconic effective component， namely chlorogenic acid，decreased sharply during the withering period. Caffeic acid，ferulic acid， 5-hydroxyconiferaldehyde，p-coumaryl alcohol， and syringin were higher in leaves. These four key genes belong to the cinnamic alcohol dehydrogenase （CAD） family， 4-coumaric acid： Coenzyme A （4CL） family， hydroxycinnamyl transferase （HCT） family， and L-phenylalanine ammonlyase （PAL） family genes. ConclusionAmong the four key genes excavated from L. macranthoides， TRINITY_DN42767_c0_g6 is related to the synthesis of p-coumaryl alcohol and sinapyl alcohol. TRINITY_DN43525_c4_g1 uses caffeic acid，ferulic acid，and cinnamic acid as substrates to catalyze the next reaction. TRINITY_DN47958_c3_g4 correlates with the synthesis of 3-p-coumaroyl quinic acid and caffeoyl-CoA， and TRINITY_DN52595_c1_g2 correlates with cinnamic acid synthesis. These findings provide a basis for further exploring the synthesis and regulation mechanism of phenylpropanoids in "Xianglei" L. macranthoides.

Objective:To explore the value of ultrasound features modified version 2022 of the Ovarian-Adnexal Imaging Reporting and Data System（O-RADS）Category 4 in the differential diagnosis of benign and malignant ovarian-adnexal tumors.Methods:Retrospective analysis was conducted in 501 cases with ovarian masses classified into 4 categories according to the 2022 version of O-RADS who were collected from 4 clinical centers［the Second Afliated Hospital of Harbin Medical University（188 cases），Zhejiang Provincial People's Hospital（146 cases），Sichuan Provincial Maternity and Child Health Care Hospital（90 cases），and Fuling Hospital of Chongqing University（77 cases）］from January 2018 to July 2024 with concomitant surgical resection.The 424 cases from 3 of the clinical centers（the Second Hospital of Harbin Medical University，Zhejiang Provincial People's Hospital，and Sichuan Maternal and Child Health Hospital）were randomly divided into a training group（339 cases）and an internal validation group（85 cases）according to an 8∶2 randomization，while the cases from the other clinical center（Fuling Hospital of Chongqing University）were selected as the external validation group（77 cases），and the pathological diagnosis was used as the “gold standard”.Univariate and multifactorial logistic regression analyses were performed on the ultrasound characteristics of the training group to screen the independent predictors associated with ovarian carcinogenesis，and to formulate the stratification rules for the 4 types of masses in O-RADS. The ROC curve of this stratification method was plotted and the area under the curve（AUC）was calculated，and it was validated in the internal validation group and the external validation group；and the diagnostic accuracy was compared with that of the 2022 version of O-RADS.Results:Univariate logistic analysis showed that cysts with solid components，≥ 4 papillary projections，smooth inner wall of the cyst，color flow score ≥ 3 points，and acoustic shadowing were independent predictors of ovarian cancer（all P < 0.05）；while multifactorial logistic analysis showed that cysts with a solid component and a color flow score ≥3 points were independent risk factors of ovarian cancer（all P < 0.05），and smooth cyst walls and acoustic shadows were independent protective factors（all P < 0.05）.The diagnostic accuracies of the modified training group，internal validation group，and external validation group were 73.7%，68.2%，70.1%，respectively，which were significantly higher than the diagnostic accuracies of the 2022 version of the O-RADS（38.9%，37.6%，33.8%）（all P < 0.05）.The diagnostic sensitivity，specificity and AUC of the training group were 0.871，0.652，0.762，respectively，while the internal validation group were 0.844，0.585，0.714，and 0.846，0.627，0.737 in the external validation group. Conclusions:Improvement of the 2022 version of O-RADS category 4 using ultrasound features may improve the identification of benign and malignant ovarian-adnexal tumors.

Objective:To investigate the impact and clinical outcomes of intraoperative prone-position lumbar anteroposterior (AP) fluoroscopy under anesthesia on the selection of the lowest instrumented vertebra (LIV) in the patients with adolescent idiopathic scoliosis (AIS) plus structural lumbar curves.Methods:A retrospective analysis was conducted of the clinical data of 35 patients (29 females and 6 males) with AIS who had undergone surgical posterior correction and fusion at Scoliosis Center, The Third Affiliated Hospital, Sun Yat-sen University between January 2020 and October 2023. The mean age was (17.9±5.7) years. Lenke's classification: 6 cases of type 3, 12 cases of type 4, 7 cases of type 5 and 10 cases of type 6. Preoperatively, all patients underwent standing AP and lateral radiographs of the full-length spine, left and right bending radiographs of the spine, and full-spine CT. Intraoperatively, all patients underwent prone-position lumbar AP fluoroscopy under anesthesia. The criteria for LIV selection were: (1) it should be the most cephalad vertebra touched by the central sacral vertical line (CSVL); (2) its rotation should be ≤ grade Ⅱ by the Nash-Moe classification; (3) its tilt angle should be <25°. The preoperative and postoperative LIV rotation angles were compared, and the number of lumbar fusions was compared between preoperative planning and actual surgery. Comparisons were also made between preoperation, postoperation and the final follow-up, examining Cobb angle of the major curve, Cobb angle of the minor curve, LIV inclination, coronal balance distance (CBD), sagittal vertical axis (SVA), and distance between CSVL and LIV (CSVL-LIV). The correction rates of the major curve and the minor curve, and change in LIV inclination were compared between postoperation and the final follow-up.Results:The patients were followed for (18.0±3.0) months. The LIV rotation decreased from 8.34°±4.95° preoperatively to 5.03°±2.99° postoperatively. The intraoperative fluoroscopy reduced at least one segment fusion for 57.1% (20/35) of the patients so that the number of lumbar fusions decreased significantly from 4.2±0.7 in preoperative planning to 3.6±0.8 after actual surgery ( P<0.05). The Cobb angles of the major and minor curves, LIV inclination, and CSVL-LIV at postoperation and the final follow-up were significantly lower than the preoperative values ( P<0.05), but there were no significant differences between the final follow-up and postoperation in the Cobb angle of the major cure, Cobb angle of the minor curve, or LIV inclination ( P>0.05). None of the patients required surgical revision for distal junctional complications. Conclusions:In the surgical treatment of AIS patients with structural lumbar curves, compared to the preoperative X-rays using the same criteria, intraoperative prone-position lumbar AP fluoroscopy under anesthesia can not only be a safe and effective method for LIV selection but also effectively reduce the number of lumbar fusions to preserve more lumbar mobility.

Objective:To assess the efficacy and safety profile of antaitasvir phosphate combined with yiqibuvir in the treatment of chronic hepatitis C (CHC) of various genotypes, without cirrhosis or with compensated cirrhosis.Methods:394 cases with CHC from 22 centers were collected from October 2021 to April 2023. They were randomly assigned to receive either the experimental drugs (antaitasvir phosphate 100 mg+yiqibuvir 600 mg) or placebo treatment in a 3∶1 ratio. The patients were administered drugs once a day for 12 consecutive weeks, and then followed up for 24 weeks after treatment cessation. All subjects were unblinded at the four-week follow-up following drug discontinuation, with the experimental drug group continuing to complete subsequent post-discontinuation follow-up. The placebo group was switched to receive the experimental drugs for a repeated 12-week treatment period and followed up for another 24 weeks after discontinuation of the drug (placebo delayed treatment phase).The sustained virologic response rate (SVR12) was observed for subjects in the double-blind phase and the placebo delayed-treatment phase at 12 weeks after treatment cessation.Virological resistance analysis was performed on subjects who failed treatment. The primary efficacy endpoint was SVR12. The number and percentage of subjects who achieved "HCV RNA