Objective: To develop a facial image generation method based on a facial color-preserving generative adversarial network (FCP-GAN) that effectively decouples identity features from diagnostic facial complexion characteristics in traditional Chinese medicine (TCM) inspection, thereby addressing the critical challenge of privacy preservation in medical image analysis. Methods: A facial image dataset was constructed from participants at Nanjing University of Chinese Medicine between April 23 and June 10, 2023, using a TCM full-body inspection data acquisition equipment under controlled illumination. The proposed FCP-GAN model was designed to achieve the dual objectives of removing identity features and preserving colors through three key components: (i) a multi-space combination module that comprehensively extracts color attributes from red, green, blue (RGB), hue, saturation, value (HSV), and Lab spaces; (ii) a generator incorporating efficient channel attention (ECA) mechanism to enhance the representation of diagnostically critical color channels; and (iii) a dual-loss function that combines adversarial loss for de-identification with a dedicated color preservation loss. The model was trained and evaluated using a stratified 5-fold cross-validation strategy and evaluated against four baseline generative models: conditional GAN (CGAN), deep convolutional GAN (DCGAN), dual discriminator CGAN (DDCGAN), and medical GAN (MedGAN). Performance was assessed in terms of image quality [peak signal-to-noise ratio (PSNR) and structural similarity (SSIM)], distribution similarity [Fréchet inception distance (FID)], privacy protection (face recognition accuracy), and diagnostic consistency [mean squared error (MSE) and Pearson correlation coefficient (PCC)]. Results: The final analysis included facial images from 216 participants. Compared with baseline models, FCP-GAN achieved superior performance, with PSNR = 31.02 dB and SSIM = 0.908, representing an improvement of 1.21 dB and 0.034 in SSIM over the strongest baseline (MedGAN). The FID value (23.45) was also the lowest among all models, indicating superior distributional similarity to real images. The multi-space feature fusion and the ECA mechanism contributed significantly to these performance gains, as evidenced by ablation studies. The stratified 5-fold cross-validation confirmed the model’s robustness, with results reported as mean ± standard deviation (SD) across all folds. The model effectively protected privacy by reducing face recognition accuracy from 95.2% (original images) to 60.1% (generated images). Critically, it maintained high diagnostic fidelity, as evidenced by a low MSE (< 0.051) and a high PCC (> 0.98) for key TCM facial features between original and generated images. Conclusion The FCP-GAN model provides an effective technical solution for ensuring privacy in TCM diagnostic imaging, successfully having removed identity features while preserving clinically vital facial color features. This study offers significant value for developing intelligent and secure TCM telemedicine systems.

Autism spectrum disorder（ASD）is a neurodevelopmental disorder that originates in early childhood. The precise pathogenesis of ASD remains unclear，and current interventions show limited effectiveness in improving patient outcomes. Various treatment strategies are being explored.The ketogenic diet（KD），as a high-fat，low-carbohydrate，moderate-protein diet，gains attention as a potential therapeutic option for ASD. This article reviews the current application of the KD in the treatment of ASD，with a detailed exploration of its efficacy in alleviating ASD symptoms，clinical uncertainties，and potential mechanisms of action. These mechanisms include its effects on gut microbiota，neural excitation-inhibition balance，inflammation，oxidative stress，and so on. The review aims to provide reference for further scientific research and practical clinical applications.

Objective:To explore the molecular mechanism of TCM compound Shengxue Tongbian Granules in improving intestinal injury in septic rats through bioinformatics and experimental validation methods.Methods:The GSE131761 gene set was processed by bioinformatics to screen differential genes, then weighted gene co-expression network analysis (WGCNA) was applied to screen modular genes. The intersection of modular genes and differential genes was taken, and finally, the least absolute shrinkage and selection operator (LASSO) technique was applied to further obtain the key targets of sepsis, which was validated by experiments. Totally 72 SD rats were divided into sham-operation group, model group, dexamethasone group (0.15 mg/kg), Shengxue Tongbian Granules low- (0.3 g/kg), medium- (0.6 g/kg), and high-dosage (1.2 g/kg) groups, with 12 rats in each group. Corresponding drug interventions were administered to each treatment group before and 12 hours after modeling. The sham-operation group and the model group were gavaged daily with equal amounts of saline. Samples were collected after 24 hours. HE staining was used to detect the pathological morphology of intestinal tissues in each group of rats; ELISA was used to detect the levels of TNF-α, diamine oxidase (DAO), IL-6, IL-10, and myeloperoxidase (MPO) in rat serum. Immunohistochemistry was used to detect the protein expressions of MPO and neutrophil elastase (NE/LANE) in intestinal tissue, and Western blot was used to detect the protein expression of peptidyl arginine deaminase (PAD4) in intestinal tissue.Results:Seven final key genes related to sepsis were selected, namely ANXA3, CYP1B1, FCAR, LILRA5, PADI4, NOV, and S100A12. Experimental results showed that drug administration alleviated intestinal injury; compared with the model group, the levels of TNF-α, IL-6, MPO, and DAO decreased in the Shengxue Tongbian Granules high-dosage group ( P<0.05), the levels of ELANE and MPO were reduced in Shengxue Tongbian Granules low-, medium-, and high-dosage groups ( P<0.05), and PAD4 expression was reduced in the Shengxue Tongbian Granules high-dosage group ( P<0.05). Conclusion:Shengxue Tongbian Granules can improve the intestinal injury of septic rats, and the mechanism may be related to the inhibition of PAD4-mediated formation of NETs and the improvement of inflammatory response.

Objective:To study the the mechanism of action of Huanglong Mixture in the treatment of cough variant asthma (CVA) in children based on the IL-4/signal transduction and activator of transcription 6 (STAT6) signaling pathway using network pharmacology methods, molecular docking techniques, and in vitro cell experiments.Methods:The components and targets of various TCM components in Huanglong Mixture were searched in TCMSP database, HERB database and literature, and the disease targets of CVA were found in Gene Cards database, OMIM database, DrugBank database and PharmGkb database. The STRING database was used to construct the protein-protein interaction network, and Cytoscape 3.9.1 was used for topology analysis to screen out the core targets. The disease-drug-component-target network was constructed to screen out the core components. The KEGG enrichment analysis and GO enrichment analysis of the intersection targets were performed using Metascape software. PDB protein database, PubChem, Autodock and R language were used for molecular docking verification of core targets and core drug components. Finally, rat primary airway smooth muscle cells were cultured, modeled with interleukin-4 (IL-4), and p-STAT6 expression in the cytoplasm and nucleus was detected by Western blot.Results:A total of 122 effective components were obtained, including quercetin, kaempferol, luteolin and so on. The core targets included JUN, ESR1, TP53, MYC, HIF1, etc. GO enrichment analysis involved biological processes such as response to external stimuli, response to oxygen levels, positive regulation of protein phosphorylation, and regulation of cellular stress response. KEGG enrichment analysis showed that the main pathways of Huanglong Mixture in treating CVA included advanced glycation end product-glycation end product receptor (AGE-RAGE) signaling pathway, phosphatidylinositol-3-kinase-protein kinase B (PI3K-Akt) signaling pathway, tumor necrosis factor (TNF) signaling pathway, Janus kinase/signal transduction activation factor (JAK-STAT) signaling pathway. Molecular docking found that the core targets and core drug components had good combination. Cell experiments also confirmed that Huanglong Mixture could inhibit p-STAT6 entering the nucleus.Conclusions:The effective components and targets of Huanglong Mixture in the treatment of CVA are successfully predicted. The mechanism of Huanglong Mixture in the treatment of children with CVA may be related to the inhibition of IL-4/STAT6 signaling pathway.

With the maturation of proteomics technologies in recent years, proteomics has made significant achievements in early detection of major diseases, disease classification, drug target discovery, and other fields. To explore the important role of proteomics, especially proteomics-based cutting-edge lifeomics technologies, in promoting the development of precision laboratory medicine and to discuss the opportunities and challenges faced during the clinical translation of innovative outcomes, the National Center for Protein Sciences-Beijing invited renowned experts and scholars in laboratory medicine, lifeomics, and precision medicine. The discussions revolved around the collaborative development of laboratory medicine and lifeomics, the future trends of new technologies in clinical laboratory testing, the innovation and development of lifeomics in laboratory medicine, the translational application of proteomics technologies in laboratory medicine, and the opportunities and challenges in the industrialization of proteomics achievements. All participants agreed that proteomics provides new directions and opportunities for precision diagnosis and treatment of diseases. However, close collaboration between academia, hospitals and industry is required. Additionally, challenges such as clinical applicability of equipment, standardization of detection methods and data, cost and quality control, talent cultivation, and the industrialization pathway need to be addressed.

This study aimed at conducting retrospective analysis of the clinical symptoms and genetic mutations in 20 children with Gitelman syndrome treated at the Affiliated Children′s Hospital of Nanjing Medical University from August 2015 to November 2022 and also explored the molecular mechanism of the pathogenic high-frequency mutation D486N in the Chinese population.

Objective To investigate the effect of muscone on malignant progression of ovarian cancer cells mediated by regulating sonic hedgehog(SHH)mediated autophagy.Methods Survival rates of human ovarian cancer cell line SKOV3 treated with 0,2,4,8,16,and 24 μmol/L muscone were detected,and the optimal cell action concentration of muscone was selected.SKOV3 cells were cultured in vitro,and their transplanted tumor mouse models were constructed.Cells were randomly grouped into the control group,the muskone group,the muskone+chloroquine(CQ,an autophagy inhibitor)group,the muskone+empty group and the muskone+SHH overexpression group.After grouping and treatment with musconeand,CQ,empty plasmid and SHH overexpression plasmid,the tumor volume and weight in transplanted tumor mice were detected.EdU staining,TUNEL staining,cell scratch,Transwell invasion assay,immunoblotting and real-time fluorescence quantitative PCR were used to detect proliferation,apoptosis,migration and invasion of SKOV3 cells,the expression of autophagy related proteins(LC3Ⅱ/LC3Ⅰ,Beclin-1)and SHH in SKOV3 cells and transplanted tumor mice in each.Results Compared with the control group,the cell proliferation rate,cell migration rate,number of invasions,tumor volume and weight,and the expression of SHH mRNA and protein in tumor tissue were decreased in the muskone group(P<0.05),and the apoptosis rate,LC3Ⅱ/LC3Ⅰ,Beclin-1 protein in cells and tumor tissue were increased(P<0.05).Compared with the muscone group,the cell proliferation rate,cell migration rate,number of invasion,tumor volume and weight were increased in the muscone+CQ group and the muskone+SHH overexpression group(P<0.05),and the apoptosis rate,LC3Ⅱ/LC3Ⅰ and the expression of Beclin-1 protein in cells and tumor tissue were decreased(P<0.05).There were no significant differences in the above indicators in the muscone+empty group(P>0.05).Conclusion Muscone can promote autophagy of ovarian cancer cells by down-regulating SHH,thereby inhibiting their proliferation,in vivo growth,migration and invasion,promoting their apoptosis,and ultimately inhibiting their malignant progression.

Objective　To timely understand the current status and distribution of nail snails (Oncomelania hupensis) in Tongjiang River channels in Zhenjiang City, providing a scientific basis for achieving the goal of eliminating schistosomiasis. Methods　From 2019 to 2023, nine Tongjiang River channels on the south bank of the Yangtze River under the jurisdiction of Zhenjiang City were selected as the monitoring area. Snail monitoring was carried out onshore and beach nail snails floats in the Tongjiang River channels, nail snails on attachments in hardened areas, snails induced by straw curtains, and snails carried by boats and domestic animals. Results　The monitoring results of shoreline snail from 2019 to 2023 showed that the snail situation in the Tongjiang River channel and its outer river bank remained relatively stable from 2019 to 2020; however, in 2021, under the influence of the Yangtze River flooding disaster in 2020, the area of snails increased significantly. In 2021, the area with snails in the Tongjiang River channel and the outer river bank increased by 45.70% (11.95/26.15) and 100.00% (20.00/20.00) compared to 2020; the average density of nails snails in the Tongjiang River channel and the outer river bank and the emergence rate of snail frames both showed a significant increase, rising by 94.73% (0.18/0.19) and 68.08% (8.68/12.75) compared to 2020, and by 122.73% (0.81/0.66) and 102.78% (43.26/42.09), respectively. The differences in the increase in the occurrence rate of spiked frames in the Tongjiang River channel Chili River and Renmin River were not statistically significant (χ2=0.329, P>0.05; χ2=0.646, P>0.05). From 2022 to 2023, the density of nail snails and the occurrence rate of framed snails in the Tongjiang River channel showed a decreasing trend (F=4.72, P=0.04 and χ2=372.58, P<0.01). The area of nail snails, density of live snails, and occurrence rate of framed snails in the outer river bank showed a decreasing trend (F=13.96, P=0.02; F=23.43, P<0.01; χ2=1 029.69, P<0.01). During the five years, no nail snails were detected in the ancient canal and 11 tributaries. From 2019 to 2023, 180 times of 3 003 kg of floating objects were salvaged, with a total of 148 live snails detected. A total of 17 live snails were captured on attachments in the hardened berm area; a total of 11 live snails were captured by straw curtain snail baiting;112 boats were inspected, and no snails were found; there were 112 boats surveyed, and no snails were found; 97 cattle were observed, and 2 cattle were found to carry 1 live snail on their hooves; 321 sheep were observed, and no snails were found on their hooves; and no infectious snails were found in the monitoring area in 5 years. Conclusions　Nail snails continue to exist in the Tongjiang River channel, and the risk factors for schistosomiasis transmission have not been completely eliminated. It is still necessary to carry out accurate monitoring of the snail situation in the Tongjiang River and the river bank, so as to grasp the risk of transmission in time and take emergency measures.

Objective To analyze the current status and trends of TCM regulation of microRNA(miRNA)using visualization methods.Methods The literature related to the TCM regulation of miRNA was retrieved from CNKI,VIP and Wanfang Data from the establishment of the databases to May 31,2022.Excel 2019,VOSviewer 1.6.18,and CiteSpace 5.8.R3 software were applied to visualize and analyze the year of publication,journal source,author and keywords of the included literature.Results A total of 787 articles were included,and the number of publications continued to rise.Source journals with more publications includes Chinese Journal of Experimental Traditional Medical Formulas,China Journal of Traditional Chinese Medicine and Pharmacy,Chinese Archives of Traditional Chinese Medicine,etc.Research teams were formed with Wang Jie,Liu Xide,Diao Limei,etc.as the representatives,and the cooperation among the teams was not very close.Analysis on the keywords in the literature showed that the studies mainly focused on apoptosis,miRNA-21,electroacupuncture,atherosclerosis,proliferation and other related fields;TCM intervention that accounted for the most research were extracts of Chinese materia medica,with 42%of the studies;there were 24 miRNAs studied≥3 times,and the most studied miRNA was miRNA-21.Conclusion The research hotspots of TCM regulation of miRNA are mainly the molecular mechanism of various TCM therapeutic tools to improve cell autophagy,apoptosis,inflammatory response and other pathways through regulation of miRNAs.The trend of research is to study the mechanism of empirical prescriptions of famous TCM practitioners based on precise therapeutic strategies.

Objective: To systematically evaluate the detection rate of prenatal depression in Chinese women, so as to provide the reference for mental health care during pregnancy among women. Methods: Publications pertaining to the detection rate of prenatal depression in Chinese women were retrieved from international and national databases from inception to July 30, 2023, including CNKI, Wanfang Data, VIP, PubMed and other databases. The Stata 17.0 software was used for meta analysis, sensitivity analysis was performed using the leave-one-out method, and the publication bias was evaluated using funnel plot and Egger's test. Results: A total of 5 687 publications were retrieved, and 60 studies were finally included, with 58 in Chinese and 2 in English, 51 of medium quality and 9 of high quality, and 114 168 participants. The results of meta-analysis showed that the overall detection rate of prenatal depression in Chinese women was 23.7% (95%CI: 20.0%-27.5%). The detection rates of prenatal depression in the first, second and third trimesters were 22.1% (95%CI: 15.5%-28.6%), 16.3% (95%CI: 12.0%-20.6%) and 19.9% (95%CI: 16.0%-23.7%), in Eastern and Midwestern China were 19.7% and 27.5%, and in women with an education level of junior high school or below and high school or above were 27.2% and 17.9%, respectively, with statistically significant differences (all P<0.05). Sensitivity analysis showed that the study results were stable. There were publication bias in the results of overall detection rate of prenatal depression, and detection rates in the second and third trimester. Conclusions The overall detection rate of prenatal depression in Chinese women ranges from 20.0% to 27.5%. There are differences in the detection rate of prenatal depression in different pregnancies, with the highest detection rate in the first trimester.