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.

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 explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

Objective To analyze the causal relationship between immune cell phenotype and gastric cancer. Methods Bidirectional two-sample Mendelian randomization (MR) analysis was used to select 731 genetic variants involving immune cell phenotypes from the GWAS dataset as instrumental variables. Inverse-variance weighting method (IVW), weighted median method (WM), and MR-Egger regression were used for sensitivity analysis. Cochran Q test, MR-Egger regression, MR-PRESSO method, and remain-one method were also conducted. Results Changes in the absolute count of IgD+ B cells and CD14-CD16- cells were significantly associated with the risk of gastric cancer. A lower proportion of IgD+ B cells was associated with a lower risk of gastric cancer (OR=0.86, 95%CI: 0.79-0.94), while an increased number of CD4-CD8-T cells was associated with an increased risk of gastric cancer (OR=1.2, 95%CI: 1.1-1.3). Conclusion A causal relationship exists between immune cell phenotype and the risk of gastric cancer. Changes in specific immune markers may regulate the development of gastric cancer by affecting the tumor microenvironment.

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

Early diagnosis and therapy of the periodontitis are crucial for the prognosis.Although the latest international classification of periodontal diseases and peri-implant diseases in 2018 can improve the accuracy of diagnosis and reduce the misdiagnosis and missed diagnoses,it is extremely complex in practice.At present,the application of artificial intelligence in the field of dentistry is becoming more and more extensive,which has good performance in detecting tooth types and periodontal bone loss.The use of artificial intelli-gence to detect periodontal lesions and calculate periodontitis staging and grading,and guide clinical personalized and precise treatment has become a hot topic of current research.This paper summarizes and analyzes the current research status of artificial intelligence in periodontal radiographic diagnosis,and provides ideas for further research.