ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

AIM To observe the effects of Hugan Tablets on high-fat diet induced non-alcoholic fatty liver disease(NAFLD)in a mouse model,and the autophagy,pyroptosis and the PI3K/Akt/mTOR signaling pathway as well.METHODS The C57BL/6 mice were randomly divided into the normal group,the model group,the Hugan Tablets group(0.7 g/kg)and the Yishanfu group(0.23 g/kg),with 10 mice in each group.The NAFLD mouse model was established by 16 weeks feeding of high-fat diet.From the 13th week,the mice started their corresponding dosing of the drug by gavage followed by killing of the mice at the end of 16th week and collection of their serum and liver tissue samples.The mice had their serum ALT,AST,TG,TC,LDL levels,liver TG,TC,NEFA,MDA levels and activities of SOD and GSH-Px detected;their serum levels of IL-1β,IL-6 and TNF-αdetected by ELISA;their hepatic pathological changes observed using HE staining and oil red O staining;and their hepatic protein expressions of ACC,CPT1A,FAS,p-PI3K,p-Akt,p-mTOR,P62,LC3,NLRP3,GSDMD and Caspase1 detected by Western blot.RESULTS Compared with the model group,the Hugan Tablets group displayed decreased body weight and hepatosmatic index level(P＜0.01);decreased levels of serum ALT,AST,TG,TC,LDL,IL-6,IL-1β and TNF-α(P＜0.05,P＜0.01);increased hepatic levels of TG,TC,NEFA and MDA(P＜0.05);decreased activities of SOD and GSH-Px(P＜0.05);improved pathological changes of hepatic lipid deposition and hepatocytic ballooning and decreased NAS score and oil red O staining area(P＜0.01);decreased hepatic protein expressions of ACC1,FAS,NLRP3,Caspase1,GSDMD,P62,p-PI3K,p-Akt and p-mTOR(P＜0.05,P＜0.01);and increased protein expressions of CPT1A and LC3(P＜0.01).CONCLUSION Hugan Tablets can effectively prevent and control the development of high-fat diet induced NAFLD in mice,and the mechanism may be associated with the promotion of autophagy in hepatocytes and the inhibition of pyroptosis via the inhibition of PI3K/Akt/mTOR signaling pathway.

Aim To investigate the effects of hydroxyl-safflor yellow A(HSYA)on the regenerative and re-pair functions of human umbilical cord mesenchymal stem cells(hUC-MSCs).Methods hUC-MSCs were mechanically isolated,and their morphology was ob-served.Cell surface marker expression was analyzed u-sing flow cytometry.Osteogenic differentiation was used to confirm the multipotency of the cells.The cells were treated with various concentrations of HSYA(0,100,200,400,600 μmol·L-1),and the optimal con-centration and duration of treatment were determined u-sing the CCK-8 assay.Cells were divided into four groups:control,100,200,and 400 μmol·L-1.The proliferative capacity of hUC-MSCs was assessed by EdU incorporation.Vascular endothelial growth factor(VEGF)and brain-derived neurotrophic factor(BD-NF)levels in the culture supernatant were measured u-sing enzyme-linked immunosorbent assays.Cell migra-tion ability was evaluated by Scratch assays.The ex-pression levels of VEGF,BDNF,and fibroblast growth factor 2(FGF2)were detected by Western blotting.Results The isolated cells exhibited characteristics consistent with stem cell surface markers and demon-strated osteogenic and adipogenic differentiation poten-tial.After 48 hours of treatment,no cytotoxicity was observed at concentrations of 100,200,and 400 μmol·L-1compared to the control group.HSYA signifi-cantly increased the number of EdU-positive cells and cell migration rate,with the most pronounced effect was achieved at 200 μmol·L-1(P＜0.01).VEGF and BDNF levels in the supernatant were elevated,with the highest expression observed at 200 μmol·L-1(P＜0.01).Similarly,the expression levels of BDNF,VEGF,and FGF2 were significantly upregulated in the HSYA groups,with the highest levels at 200 μmol·L-1(P＜0.01).Conclusion HSYA promotes the proliferation,migration and angiogenesis of hUC-MSCs,with an optimal concentration of 200 μmol·L-1.

Objective To explore the efficacy and safety of 0.02％atropine eye drops for the treatment of nearwork-induced transient myopia(NITM)in adolescents.Methods A total of 131 adolescents with NITM were randomly divided into experimental(receiving 0.02％atropine eye drops)and control(receiving placebo)groups.Changes in the initial NITM values before medication and at 14 and 30 days after medication were observed.Alterations in intraocular pressure and accommodation amplitude were monitored,and the occurrence of complications,such as photophobia and near vision impairment,were recorded.Results The baseline NITM did not differ significantly between the two groups.On day 14 and day 30,the NITM values in the experimental group were significantly reduced compared to the baseline,with differences of 0.31 D±0.20 D and 0.30 D±0.16 D,which were significantly greater than those in the control group(0.21 D±0.98 D and 0.20 D±0.18 D,P＜0.001).The efficacy rate of NITM treatment in the experimental group was 84.4％,which was sig-nificantly higher than that in the control group(29.9％).After 30 days of treatment,no severe systemic or ocular adverse reactions were observed in the experimental group.Mild photophobia was the main adverse reaction.Conclusion 0.02％atropine eye drops can effec-tively reduce the initial NITM value in adolescents within a month of its use,with no severe complications and good tolerance.A clinical trial of atropine eye drops at different concentrations to reduce NITM over a longer period is warranted.

Objective:To investigate the distribution of CGG repeat numbers in the FMR1 gene among reproductive-age women in China, providing data reference for carrier screening and genetic counseling of Fragile X syndrome. Methods:This cross-sectional study recruited 16 610 reproductive-age women from 12 medical institutions between July 2022 and October 2023. Peripheral venous blood samples (3 mL) were collected, and genomic DNA was extracted. The number of CGG repeats in the FMR1 gene was determined using the triplet-primed polymerase chain reaction (TP-PCR) combined with capillary electrophoresis technology. Statistical analyses were performed to assess the prevalence and distribution of CGG repeat expansions. Results:Among 16 610 women of childbearing age, 5 684 (34.220%) women had the same number of CGG repeats in the two alleles of FMR1 gene, and 10 926 (65.780%) women had different numbers of repeats in the two alleles. Among the 33 220 FMR1 alleles in 16 610 women of reproductive age, the most common CGG repeat numbers were 29 [48.645% (16 160/33 220)] and 30 [26.276% (8 729/33 220)], while the most frequent CGG genotype was CGG 29/29 [24.726% (4 107/16 610)]. The CGG repeat numbers of FMR1 gene were normal in 16 498 women (99.326%). Among the 112 women (0.674%) with CGG repeat abnormities, 96 (0.578%) women were classified as intermediate carriers, 15 (0.090%) as premutation carriers, and 1 (0.006%) as a full mutation carrier, whose CGG genotype was (36, >200). Conclusion:In the general reproductive-age female population in China, the normal CGG repeat numbers of the FMR1 gene account for 99.326%, while the intermediate carrier rate is 0.578%, and the combined carrier rate of the premutation and full mutation types is 0.096%.

Objective To explore the efficacy and safety of 0.02％atropine eye drops for the treatment of nearwork-induced transient myopia(NITM)in adolescents.Methods A total of 131 adolescents with NITM were randomly divided into experimental(receiving 0.02％atropine eye drops)and control(receiving placebo)groups.Changes in the initial NITM values before medication and at 14 and 30 days after medication were observed.Alterations in intraocular pressure and accommodation amplitude were monitored,and the occurrence of complications,such as photophobia and near vision impairment,were recorded.Results The baseline NITM did not differ significantly between the two groups.On day 14 and day 30,the NITM values in the experimental group were significantly reduced compared to the baseline,with differences of 0.31 D±0.20 D and 0.30 D±0.16 D,which were significantly greater than those in the control group(0.21 D±0.98 D and 0.20 D±0.18 D,P＜0.001).The efficacy rate of NITM treatment in the experimental group was 84.4％,which was sig-nificantly higher than that in the control group(29.9％).After 30 days of treatment,no severe systemic or ocular adverse reactions were observed in the experimental group.Mild photophobia was the main adverse reaction.Conclusion 0.02％atropine eye drops can effec-tively reduce the initial NITM value in adolescents within a month of its use,with no severe complications and good tolerance.A clinical trial of atropine eye drops at different concentrations to reduce NITM over a longer period is warranted.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

The ultra-high performance liquid chromatography( UPLC) characteristic fingerprints of Angelica dahurica and A. dahurica var. formosana were established. The compounds corresponding to common peaks were identified by ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry( UPLC-Q-TOF-MS/MS). The results were combined with chemometrics and quantitative analysis of multi-components with a single-marker method(QAMS) to study the quality control of A. dahurica and A. dahurica var. formosana. The separation was performed on a Titank C_(18) column(2. 1 mm × 150 mm, 1. 8 μm)with a mobile phase of acetonitrile-0. 2% formic acid at a flow rate of 0. 3 m L·min~(-1). The column temperature was 35 ℃ and the injection volume was 1. 2 μL. Seven batches of A. dahurica and 11 batches of A. dahurica var. formosana were injected and analyzed. The UPLC characteristic fingerprints of A. dahurica and A. dahurica var. formosana were established according to the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine( version 2012), and 19 and 20 characteristic peaks were matched respectively. The common peaks were identified by reference substance comparison and UPLC-Q-TOF-MS/MS. Cluster analysis(CA), principal component analysis(PCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA)were performed to analyze the chemical pattern recognition of A. dahurica and A. dahurica var. formosana. The results of CA and PCA could distinguish Angelicae Dahuricae Radix from different producing areas, and the differential quality markers of A. dahurica and A. dahurica var. formosana were obtained by OPLS-DA. With imperatorin as the internal reference, the relative correction factors of oxypeucedanin hydrate, byakangelicin, bergapten, isopimpinellin, oxypeucedanin, and isoimperatorin were 1. 310, 1. 069, 0. 729, 0. 633, 0. 753, and 1. 010, respectively. There was no significant difference between the QAMS and external standard method(ESM)results of each component, indicating that the QAMS established with imperatorin as the internal reference was accurate and reliable. The characteristic fingerprints, chemometrics, and QAMS established in this study can quickly and efficiently control the quality of A. dahurica and A. dahurica var. formosana.
Quality Control ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Angelica/chemistry* ; Chemometrics/methods* ; Tandem Mass Spectrometry/methods* ; Principal Component Analysis

Cervi Cornu Pantotrichum is a precious animal-derived Chinese medicinal material, while there are often adulterants derived from animals not specified in the Chinese Pharmacopeia in the market, which disturbs the safety of medication. This study was conducted with the aim of strengthening the quality control of Cervi Cornu Pantotrichum and standardizing the medication. To achieve digital identification of Cervi Cornu Pantotrichum from different sources, a digital identification model was constructed based on ultra-high performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry(UHPLC-QTOF-MS~E) combined with an adaptive boosting algorithm(Adaboost). The young furred antlers of sika deer, red deer, elk, and reindeer were processed and then subjected to polypeptide analysis by UHPLC-QTOF-MS~E. Then, the mass spectral data reflecting the polypeptide information were obtained by digital quantification. Next, the key data were obtained by feature screening based on Gini index, and the digital identification model was constructed by Adaboost. The model was evaluated based on the recall rate, F_1 composite score, and accuracy. Finally, the results of identification based on the constructed digital identification model were validated. The results showed that when the Gini index was used to screen the data of top 100 characteristic polypeptides, the digital identification model based on Adaboost had the best performance, with the recall rate, F_1 composite score, and accuracy not less than 0.953. The validation analysis showed that the accuracy of the identification of the 10 batches of samples was as high as 100.0%. Therefore, based on UHPLC-QTOF-MS~E and Adaboost algorithm, the digital identification of Cervi Cornu Pantotrichum can be realized efficiently and accurately, which can provide reference for the quality control and original animal identification of Cervi Cornu Pantotrichum.
Animals ; Algorithms ; Antlers/chemistry* ; Boosting Machine Learning Algorithms ; Chromatography, High Pressure Liquid/methods* ; Deer ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Quality Control ; Reindeer ; Tandem Mass Spectrometry/methods* ; Tissue Extracts/analysis*

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires