This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Recently, diffusion models have emerged as a promising paradigm for molecular design and optimization. However, most diffusion-based molecular generative models focus on modeling 2D graphs or 3D geometries, with limited research on molecular sequence diffusion models. The International Union of Pure and Applied Chemistry (IUPAC) names are more akin to chemical natural language than the Simplified Molecular Input Line Entry System (SMILES) for organic compounds. In this work, we apply an IUPAC-guided conditional diffusion model to facilitate molecular editing from chemical natural language to chemical language (SMILES) and explore whether the pre-trained generative performance of diffusion models can be transferred to chemical natural language. We propose DiffIUPAC, a controllable molecular editing diffusion model that converts IUPAC names to SMILES strings. Evaluation results demonstrate that our model outperforms existing methods and successfully captures the semantic rules of both chemical languages. Chemical space and scaffold analysis show that the model can generate similar compounds with diverse scaffolds within the specified constraints. Additionally, to illustrate the model's applicability in drug design, we conducted case studies in functional group editing, analogue design and linker design.

Objective: To investigate morphological differences between obstructive and non-obstructive coronary artery disease (CAD) patients using computer-aided image analysis, and identify color and texture features for traditional Chinese medicine (TCM) syndrome differentiation. Methods: This prospective study enrolled patients undergoing coronary computed tomography angiography (CTA) at the Affiliated Hospital of Liaoning University of Traditional Chinese Medicine between May 1, 2024 and August 7, 2025. Based on CTA results, patients were categorized into obstructive CAD and non-obstructive CAD groups. Standardized tongue images were acquired using a dedicated mobile application (Traditional Chinese Medicine Tongue Image-Assisted Diagnosis System) and analyzed for the overall tongue surface and three macroscopic features (tooth marks, fissures, and red dots) from which high-dimensional color and texture parameters were extracted. Multi-scale texture features were derived using spatial-domain Laplacian pyramid and frequency-domain wavelet transform methods. Dimensionality reduction and feature selection were performed using principal component analysis (PCA) and random forest with 5-fold cross-validation. Feature stability was assessed using Hodges-Lehmann estimator and Cliff’s δ. A multi-view XGBoost model was developed to differentiate the two groups and evaluated on a temporally independent validation set using accuracy and the area under the receiver operating characteristic curve (AUC). SHapley Additive exPlanations (SHAP) analysis was applied to interpret model decisions. Results: This study analyzed 373 CAD patients, including 167 with obstructive CAD and 206 with non-obstructive CAD according to CTA results. The whole cohort was divided into training set (n = 316, obstructive : non-obstructive = 142 : 174 ) and validation set (n = 57, obstructive : non-obstructive = 25 : 32), with balanced baseline characteristics (P > 0.05). Macroscopic tongue analysis revealed that patients with obstructive CAD had fewer tooth marks [odds ratio (OR) = 0.43, P < 0.05] and red dots (OR = 0.46, P < 0.05). High-dimensional color analysis identified pronounced intergroup differences, most notably a reduction in hue values in the hue-saturation-intensity (HSI) color space among obstructive CAD patients (Cliff’s δ = – 0.31, P = 2.72 × 10–6; Hodges-Lehmann estimator: – 0.31). PCA results suggested that tongue surface features explained the highest proportion of variance (48.2%). Random forest screening identified 77 stable features across all tongue regions, with wavelet-transformed texture features demonstrating the highest importance. The multi-view XGBoost fusion model achieved an accuracy of 75% and an AUC of 0.779 in the independent validation set. SHAP analysis identified the wavelet-based feature—left-handed lower-level gray-level size zone matrix zone variance (LHL_glszm_ZoneVariance) as the top predictor, accounting for 40.6% of the model's decision variance, and indicated that 85.3% of the predictive power came from wavelet-based texture features. Conclusion This study has provided objective evidence for the TCM concept that “the tongue reflects the heart” by identifying distinct morphological and colorimetric tongue patterns in patients with obstructive CAD through artificial intelligence (AI)-driven image analysis, and the promising performance of the computational model suggests its potential as a non-invasive adjunctive tool for CAD assessment.

The mutual transformation and intertweaving of qi stagnation and blood stasis exist through the development and progression of pediatric pneumonia.Based on the pathogenic mechanism of qi stagnation and blood stasis obstructing the lungs and by analyzing the progression of pneumonia,this paper proposed that the traditional Chinese medicine(TCM)pathogenesis of pediatric pneumonia can be divided into three stages:early,middle,and late.In the early stage,external pathogens invade and then lead to lung qi stagnation and blockage.In the middle stage,qi stagnation and blood stasis block the lungs and then cause blood vessel stagnation.In the late stage,qi stagnation and blood stasis linger,and then result into the residual pathogens lurking in the lungs.Accordingly,the principles of treating pediatric pneumonia are proposed,i.e.,ventilating the lungs and dispelling pathogens,activating blood circulation and resolving stasis,relieving qi stagnation and unblocking blockage.The strategies for treating pediatric pneumonia in three stages are also introduced:for the early stage of pneumonia characterized by lung qi stagnation and blockage,the formula Yinqiao San combined with Wuhu Erchen Decoction are used for clearing lung-heat,resolving phlegm,and relieving wheezing;for the middle stage of pneumonia characterized by the intertweaving of qi stagnation and blood stasis,the formula Xuefu Zhuyu Decoction combined with Xuanfei Baidu Prescription are used for activating blood circulation and resolving stasis,ventilating the lungs and removing toxins,relieving qi stagnation and unblocking blockage;for the late stage of pneumonia characterized by qi stagnation and blood stasis lingering in the lungs,Qinghao Biejia Decoction and Qingfei Touxie Prescription are used by modification for clearing heat and nourishing yin,resolving blood stasis and relieving qi stagnation,nourishing yin and subduing yang.The approach to treating pediatric pneumonia from the pathogenic mechanism of qi stagnation and blood stasis obstructing the lung show significant efficacy on improving clinical symptoms in children with pediatric pneumonia and preventing the progression of pneumonia,and will provide reference to the clinical prevention and treatment of pediatric pneumonia.

Objective To construct a database for molecular mass spectra of toxins and drugs in order to facilitate the management and retrieval of mass spectra for nerve agents,metabolites and other small molecules.Methods Requirement analysis and functional design were performed using software engineering methods.The Spec2Vec algorithm was used for vector representation of mass spectra,while SMILES molecular structures were vectorized using the extended connectivity fingerprint(ECFP).A data storage model integrating structured information and vector representations was established using the Milvus database.Similarity search of mass spectra and molecular structures was conducted via vector similarity comparison and the FlashEntropySearch algorithm.Results The constructed database of mass spectra encompassed over 400,000 entries from such sources as OCAD,NIST,MASSBANK,metabolic products,and natural products of TCM,which was capable of searching for similarities in mass spectra and molecular structures.On a standard server,similarity search of mass spectra took no more than 5 seconds,while that of molecular structures took no more than 1 second.Conclusion The system enables efficient management of complex mass spectra and provides rapid retrieval and comparison of mass spectra-related information through advanced vector indexing technology,offering robust data support and research tools for toxicology and pharmacology.

ObjectiveTo explore the pharmacological effects and molecular mechanisms of a Jiao'ai decoction (JAD) in treating premature ovarian failure. Specifically, we evaluated the receptor for advanced glycation end (RAGE) products pathway, metabolic disorders, and intestinal flora dysbiosis.MethodsForty female rats with normal estrous cycles were randomly divided into five groups: control, model, estradiol, low-dose JAD, and high-dose JAD, with 8 rats in each. Except for the control group, the rats in other groups were injected intraperitoneally with cisplatin for 8 days (1.5 mg/kg) to establish a premature ovarian failure model. Starting on the fifth day of cisplatin injections, the estradiol, low-dose JAD, and high-dose JAD groups were administered corresponding drugs for 21 days. Sex hormone levels and pathological changes in the ovaries were measured. Key proteins in the RAGE pathway related to apoptosis, aging, and inflammation, were tested using Western blot. A 16S rRNA analysis of feces and non-targeted metabolism in serum was performed to determine the effects of JAD on intestinal flora and metabolism.ResultsBody weight, ovarian index, and the number of follicles at all levels increased in the JAD group. Regarding serum hormones, estradiol, anti-mullerian hormone (AMH) and P levels increased, whereas follicle-stimulating hormone (FSH) and luteinizing hormone (LH) levels decreased in the JAD group. The levels of phosphorylated Akt protein (P-Akt), receptor for advanced glycation end products (RAGE), tumor protein p53 (P53), C-reactive protein (CRP), apoptosis regulator BAX (BAX) and Caspase3 were downregulated by JAD, whereas B cell leukemia/lymphoma 2 (Bcl-2) and Endothelial nitric oxidase synthase (eNOS) were upregulated. JAD was also found to play an important role in the regulation of metabolic disorders and intestinal ecological imbalances by adjusting species composition and diversity.ConclusionJAD can protect ovaries by exerting anti-inflammatory and anti-apoptotic effects via inhibition of the RAGE pathway. JAD can also regulate metabolic disorders and maintain the dynamic balance of intestinal flora, thereby contributing to the improvement of the ovarian reserve function.

This article reported a patient who initially presented with insomnia complaints and was subsequently diagnosed with severe obstructive sleep apnea （OSA） on polysomnography （PSG）. The patient tried continuous positive airway pressure （CPAP）but gave up because wear the ventilator made it more difficult to fall asleep. Then the patient only received group cognitive behavioral therapy for insomnia （CBT-I）， which not only alleviated insomnia severity but also promoted severe OSA into mild status. Such case suggested that， firstly， due to the high comorbidity of insomnia and OSA， evaluation of OSA should be considered a part worth enough attention of the clinical diagnosis and treatment of insomnia patients. Secondly， by relieving insomnia， CBT-I can alleviate both nocturnal apnea and daytime somnolence in patients with comorbid insomnia and sleep apnoea （COMISA）， so the application of CBT-I should be emphasized in the treatment of such patients. ［Funded by the Central Government-guided Local Science and Technology Development Fund Project （number， 2022ZY0028）］

Objective To establish a differential model of phlegm and blood stasis pattern and qi deficiency and blood stasis pattern in stable angina pectoris using radiomics.Methods A total of 91 patients with stable angina pectoris who underwent coronary artery CT angiography in Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from January 2021 to January 2022 were collected,including 47 cases of phlegm and blood stasis pattern and 44 cases of qi deficiency and blood stasis pattern.The patients were divided into train set(64 cases)and test set(27 cases)according to the ratio of 7∶3 by stratified random sampling method.3D-slicer software was used to extract the radiomics features of pericoronary adipose tissue(PCAT)images.Principal component analysis was used to visualize the distribution of radiomics features of pattern of phlegm and blood stasis and pattern of qi deficiency and blood stasis.The least absolute shrinkage and selection operator regression analysis and support vector machine decreasing feature elimination were used for feature selection.The multinomial logistics regression was used for model construction.The receiver operating characteristic(ROC)curve was used to verify the model in the train set and the test set to evaluate the effectiveness of the radiomics features in differentiating phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.Finally,Spearman coefficient was used to analyze the correlation between the differential features and clinical physicochemical data.Results A total of 837 radiomics features were extracted from PCAT images by 3D-slicer software.In the principal component analysis,PC1 and PC2 explained 77.9%and 8.1%of the total variance,respectively,and there was a relatively obvious separation trend between the two pattern groups.After feature screening,7 radiomics features were used to construct the differential model of phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.The area under the ROC curve(AUC)of the differential model was 0.844 in the train set and 0.834 in the test set.Spearman correlation analysis showed that the differential features were significantly correlated with cTnI,neutrophil,triglyceride,total cholesterol,and leukocyte.Conclusion The CT radiomics model based on PCAT has a high discrimination efficiency for stable angina pectoris with phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.

Objective:To explore the relationship between the triglyceride glucose (TyG) index and the risk of developing hypertension among rural Chinese adults.Methods:A prospective cohort study was conducted from 2007 to 2008, involving 20 194 adults selected through random cluster sampling from a rural community in Luoyang City, Henan Province. Follow-ups were carried out in 2013-2014 and 2018-2020. After excluding participants with hypertension at baseline, those with missing TyG index data, individuals who passed away during follow-up, and those with incomplete hypertension status at the second visit, 9 802 participants were included in the analysis. Baseline and follow-up assessments included questionnaire interviews, physical measurements (including blood pressure), and blood sample collection for fasting lipid and glucose levels. Participants were divided into four groups according to TyG index quartiles, and a modified Poisson regression model was utilized to assess the association between TyG index quartiles and hypertension risk.Results:The study cohort comprised 9 802 participants with a median age of 48 (39, 57) years, including 3 803 males (38.80%). Participants were distributed across TyG index quartiles as follows: TyG<8.2 group (2 224 individuals), TyG 8.2-8.5 group (2 653 individuals), TyG 8.6-8.9 (2 441 individuals), and TyG≥9.0 (2 484 individuals). Over a follow-up period of (11.1±1.3) years, 3 378 subjects developed hypertension, resulting in a cumulative incidence of 34.46% (3 378/9 802). The risk of hypertension increased with higher TyG index quartiles ( Ptrend<0.05). Compared to the TyG<8.2, the TyG 8.2-8.5 ( RR=1.11, 95% CI 1.01-1.22, P=0.023), TyG 8.6-8.9 ( RR=1.16, 95%CI 1.06-1.27, P=0.023), and TyG≥9.0 ( RR=1.20, 95%CI 1.10-1.31, P=0.023) exhibited increased hypertension risk after adjusting for age, gender, educational level, and other potential confounders. Subgroup analyses based on gender and age at baseline yielded results consistent with the main analysis. Conclusions:The TyG index is positively correlated with the risk of developing hypertension in the rural adult population.

Objective To screen Cuproptosis genes and characteristic genes for differential prognosis in acute mye-loid leukemia(AML)and explore their prognosis in AML as well as their biological roles and correlations in the immune and tumor microenvironment.Methods AML clinical,transcriptome,genomic,and copy number data were downloaded from three major databases,TCGA,GEO,and UCSC,and Cuproptosis genes were collected from published studies.From the perspective of multiomics,the effects of Cuproptosis gene and characteristic gene on survival,immunity,tumor microenvironment,stem cell correlation and drug sensitivity were studied by various bioinformatics methods,meta-analysis and secondary typing.Results One Cuproptosis gene was identified as a differential prognostic gene in AML and five characteristic genes were identified as influencing the prognosis of AML patients by influencing Cuproptosis,and a prognostic model was established.The differential genes were mainly concentrated in mitochondrial activity,REDOX enzyme and energy metabolism.In terms of immunity,macrophage M0,neutrophils,activated memory CD4 T cells and Tregs were positively correlated with risk score,while macro-phage M2,resting mast cells,immature CD4 T cells,helper follicular T cells and memory B cells were negatively correlated with risk score.In terms of tumor microenvironment,the immune cell score of the low-risk group was lower than that of the high-risk group,and in the total score,the tumor microenvironment score of the low-risk group was also lower than that of the high-risk group,indicating that the tumor purity of the high-risk group was lower than that of the low-risk group.However,there was no significant association between stem cells in the high-risk and low-risk groups,and a total of 14 drugs were found to be sensitive to treat AML.Conclusion Cuproptosis gene and characteristic gene are closely related to immune and tumor microenvironment in AML by constructing a prognostic model of AML.