ObjectiveTo systematically compare the differential regulation of the maternal-fetal interface cell lineages and communication networks in the CBA/J×DBA/2 mouse model of recurrent pregnancy loss （RPL） by the two classic therapeutic methods-tonifying the kidney to stabilize the fetus and invigorating the spleen to stabilize the fetus （Shoutai Wan， Juyuan Jian）-of traditional Chinese medicine （TCM） at the single-cell resolution and clarify their modern scientific connotations. MethodsFemale non-pregnant CBA/J mice were caged with male BALB/c （blank group） and DBA/2 （modeling group） mice separately. Pregnant mice in the modeling group were randomly grouped as follows： high/low-dose Shoutai Wan， high/low-dose Juyuan Jian， model （RPL）， and positive control （dydrogesterone）， with 10 mice in each group. Starting from the day after the detection of the vaginal plug， mice were administrated with drugs or an equal volume of normal saline by gavage for 10 consecutive days. After the intervention， the following indicators were measured. ① Macroscopic evaluation： general conditions， uterine wet weight， embryo loss rate， four coagulation parameters ［prothrombin time （PT）， activated partial thromboplastin time （APTT）， fibrinogen （FIB）， and thrombin time （TT）］， and peripheral blood estradiol （E₂） and progesterone （Pg） levels. The decidua with embryos was stained with hematoxylin-eosin （HE） and evaluated by transmission electron microscopy （TEM）. The expression of B-cell lymphoma-2 （Bcl-2）， vascular endothelial growth factor （VEGF）， angiotensin Ⅱ （AngⅡ）， matrix metalloproteinase-2 （MMP-2）， interleukin-6 （IL-6）， leukemia inhibitory factor （LIF）， CXC chemokine ligand 12 （CXCL12）， and microtubule-associated protein 1 light chain 3 homolog （LC3）Ⅰ/Ⅱ was quantified by Western blot. ② Mechanism analysis at the single-cell level： The decidua with embryos from the blank， model， high-dose Shoutai Wan， and high-dose Juyuan Jian groups （6 mice per group， with 3 single-cell samples per group， totaling 24 mice） were analyzed by the BD Rhapsody™ platform， and the whole-cell atlas was drawn by uniform manifold approximation and projection （UMAP） dimensionality reduction clustering combined with the single-cell mouse cell atlas （scMCA）. The differentially expressed genes （DEGs） and cell interaction networks were analyzed via Gene Ontology （GO）， Kyoto Encyclopedia of Genes and Genomes （KEGG）， and CellChat， and the protein-protein interaction （PPI） map of subtype cells was constructed. The CytoTRACE pseudo-temporal analysis was performed to explore the developmental trajectories of core immune cells （natural killer cells， NK cells） from maternal and fetal sources. Results① Pathological and Western blot results indicated that compared with the blank group， the RPL group showed an increase in the embryo loss rate （P<0.01）， down-regulated expression of Bcl-2， LIF， MMP-2， and Vegf in the decidua with embryos （P<0.05）， up-regulated protein levels of CXCL-12， AngⅡ， and IL-6 （P<0.05）， blocked angiogenesis， apoptosis-inflammation imbalance， and coagulation dysfunction. Both prescriptions dose-dependently reduced the abortion rate and restored the angiogenesis-inflammation balance， and Shoutai pill showed superior performance in restoring the E₂ level to the Pg level （P<0.05）. ② Single-cell transcriptome analysis indicated that compared with the blank group， the RPL group showed differences in multiple key cell populations such as decidual cells， trophoblast cells， endothelial cells， erythroblasts， NK cells， and macrophages at the maternal-fetal interface. Immunity and angiogenesis were the key links in RPL. Compared with the RPL group， high-dose Shoutai Wan reversed the changes of NK cells in the embryonic layer （upregulating the mRNA levels of 17 genes and downregulating the mRNA levels of 29 genes） and macrophages （upregulating the mRNA levels of 117 genes and downregulating the mRNA levels of 53 genes） through the regulation of gene expression. High-dose Shoutai pill regulated the immune cells to affect unfolded proteins， cell adhesion， and programmed cell death， thereby promoting decidualization and angiogenesis and modulating embryo-membrane development. High-dose Juyuan Jian regulated the key subgroups of NK cells （up-regulating the mRNA levels of 9 genes and down-regulating the mRNA levels of 17 genes） and macrophages （up-regulating the mRNA levels of 110 genes and down-regulating the mRNA levels of 81 genes）， which affected decidual inflammation and apoptosis and intervened in glycolysis. ③ The pseudo-temporal analysis and communication network indicated that the communication frequency of the RPL group decreased. High-dose Shoutai Wan restored maternal-fetal tolerance through pathways such as NKG2D， CDH5， GDF， and FASLG. High-dose Juyuan Jian enhanced the IL-6/LIFR/JAK/signal transducer and activator of transcription 3 （STAT3） and desmosome/SEMA6/tumor necrosis factor-like weak inducer of apoptosis （TWEAK） signaling to improve endometrial receptivity. The RPL group showed an increased proportion of toxic dNK7， a decreased proportion of reparative dNK4， and blocked embryo fNK1. High-dose Shoutai Wan down-regulated dNK7 and up-regulated dNK4. High-dose Juyuan Jian inhibited the terminal differentiation of dNK7 and up-regulated LILRB1， thus restoring the balance of cytotoxicity and repair. ConclusionBoth the kidney-tonifying and spleen-invigorating methods are effective in treating RPL. NK and macrophages are the key immune cells in the interaction between the embryo and the membrane. The kidney-tonifying method （Shoutai Wan） has an advantage in regulating the phenotypes of unfolded protein， cell adhesion， and programmed cell death， and shows expression characteristics closer to the physiological state in the regulation of NKG2D and CDH5 signals. The spleen-invigorating method （Juyuan Jian） has an advantage in regulating epithelial-mesenchymal transition （EMT）， angiogenesis， and glycolysis and shows higher communication intensity in the IL-6 and LIFR pathways.

Objective To understand the equity and influencing factors of maternal health service utilization in Changning District, Shanghai. Methods A convenience sampling method was used to conduct a questionnaire survey among mothers of children aged 1 to 1.5 years old who received health services from the child health care clinics and EPI clinics of 10 community health service centers in Changning District, Shanghai from March to April 2022. Count data was expressed by frequency and percentage. Chi-square analysis, binomial logistic regression analysis, and multivariate logistic regression analysis were used to analyze fairness-related factors. Rate difference, rate ratio and concentration index were used to represent fairness. Results A total of 696 subjects were investigated, with an average age of (33.35±4.76) years. There were statistically significant differences in service utilization among women with different household registrations only in early pregnancy registration (χ²=11.026, P=0.001) and postpartum visits (χ²=4.989, P=0.026). Women with a career showed differently in folic acid supplement (χ²=6.247, P=0.012), early pregnancy registration (χ²=12.989, P=0.002), physical examination in 42 days postpartum (χ²=4.446, P=0.035) and postpartum contraception (χ²=4.061, P=0.044), and the differences were statistically significant. Women with different monthly family income had a statistically significant difference in pre-pregnancy examination (χ²=8.977, P=0.030) and postpartum visit (χ²=16.114, P=0.001). There was a statistically significant difference between women with maternity insurance or not in the early pregnancy registration (χ²=10.576, P=0.001) and physical examination in 42 days postpartum (χ²=8.166, P=0.004). The results of the multivariate analysis showed that occupation (OR=2.616, 95% CI: 1.142-5.990) and maternity insurance (OR=4.490, 95% CI: 1.992~10.120) affected the utilization of service in early pregnancy registration. The monthly household income (OR=0.278, 95% CI: 0.124-0.625) affected the utilization of services in postpartum visit. At the same time, the monthly household income (10,000-19,999: OR=0.286, 95% CI: 0.090-0.907; ≥30,000: OR=0.180, 95% CI: 0.041-0.801) also affected the utilization of service in physical examination in 42 days postpartum. Conclusion The equity of maternal health care service utilization overall is good in central area in Shanghai, but there is still room for improvement. It is necessary to strengthen community mobilization, propagandize maternal health services, and expand the coverage of maternity insurance to improve the equity of maternal health service utilization and provide equal access to maternity health services.

Objective:To examine the regulatory effects of a potential antifibrotic tetrapeptide called N-acetyl-seryl-aspartyl-lysyl-proline (Ac-SDKP) on the expression of epidermal growth factor (EGFR) and signal transducer and activator of transcription 3 (STAT3) in lung tissues with fibrosis induced by silicosis in rats. This study aims to explore the potential therapeutic benefits of Ac-SDKP in the prevention and treatment of fibrotic lung diseases associated with silicosis.Methods:In January 2024, disease targets and Ac-SDKP active ingredients were predicted through GeneCards (https://www.genecards.org) and OMIM (https://www.omim.org) databases. Using R 4.2.1 software, we identified overlapping targets between pulmonary fibrosis and AC-SDKP. Cytoscape 3.10.2 was employed to visualize interactions between active chemical components and these targets, followed by GO enrichment analysis and KEGG pathway analysis using R 4.2.1. Forty healthy adult Wistar rats were selected to establish silicosis models through single-dose gavage with 50 mg/ml silica suspension (1. 0 ml per rat). The rats were randomly divided into four groups: model control group (4 weeks), silicosis model group (4 weeks), Ac-SDKP preventive treatment group (acquired via intraperitoneal injection of a micro-release pump containing Ac-SDKP [800 μg/ (kg·d) ] during modeling, maintained for 4 weeks), and Ac-SDKP anti-fibrosis treatment group (acquired via intraperitoneal injection of the same pump after 2 weeks of modeling, continued maintenance for 2 weeks). Each group contained 10 rats. The pathological changes in rat lung tissues were observed. Western blot technology was used to detect the protein expression levels of α-smooth muscle actin (α-SMA), epidermal growth factor receptor (EGFR), signal transduction and activation transcription factor 3 (STAT 3), caspase 3, and caspase 8 in lung tissues. Immunohistochemical techniques were employed to assess the expressions of EGFR, STAT3, caspase 3, and caspase 8. Overall differences between groups were compared using one-way ANOVA.Results:Compared with the control group in the silicosis model, rats in the 4-week group exhibited significant fibrotic nodules. The lung tissues of these rats showed statistically significant increases in α-SMA, EGFR, STAT 3, Caspase 3, and Caspase 8 protein expression ( P<0.05). In contrast, the Ac-SDKP prevention and anti-fibrosis treatment group demonstrated markedly reduced expression levels of these proteins compared to the 4-week silicosis model group, with statistically significant differences ( P<0.05). Immunohistochemical staining revealed that brownish-yellow expression of EGFR, STAT3, Caspase3, and Caspase8 was significantly enhanced in silicotic nodules within the silicosis model group. Conversely, this brownish-yellow expression was notably decreased in the Ac-SDKP prevention and anti-fibrosis treatment group compared to the 4-week silicosis model group. Conclusion:Ac-SDKP may exert antifibrotic effects on the lungs of rats with silicosis by regulating the EGFR/STAT3 pathway.

The complex anatomical structure of abdominal organs demands high precision in surgical procedures, which also increases postoperative complication risks. Advancements in digital medicine have created new opportunities for precision surgery. This article summarizes the current applications of digital intelligence in precision abdominal surgery. The processing and real-time monitoring technologies of medical imaging provide powerful tools for accurate diagnosis and treatment. Meanwhile, big data analysis and precise classification capabilities of artificial intelligence further enhance diagnostic efficiency and safety. Additionally, the paper analyzes the advantages and limitations of digital intelligence in empowering precision abdominal surgery, while exploring future development directions.

Objective:To investigate the molecular mechanisms by which HMGB1 in lung cancer cells affects the function of lung cancer cells themselves and immune cells through the NF-κB pathway.Methods:Western blot detected HMGB1 expressions in Lewis lung cancer(LLC)cells,Raw264.7 cells,and mouse spleen cells,while tumor cell lysates(TCL)with low HMGB1 was pre-pared by inhibiting HMGB1 expression in lung cancer cells with glycyrrhetinic acid(GA);the effects of endogenous HMGB1 inhibi-tion or TCL with low HMGB1 on apoptosis and proliferation of lung cancer cells were detected by flow cytometry and CCK-8;TCL with normal HMGB1 or TCL with low HMGB1 was prepared by freeze-thawing;Raw264.7 cells and mouse splenocytes were treated with them for 48 h.Apoptosis and CD69 expression were detected by flow cytometry,and secretion of cytokines IL-2,IL-4,IL-6,TNF-α and TNF-β were detected by ELISA;Western blot detected lung cancer cells or immune cells.Western blot was performed to detect the protein expression of key signaling molecules of the NF-κB signaling pathway in lung cancer cells or immune cells.Results:HMGB1 was expressed in LLC cells,Raw264.7 cells,and mouse spleen cells,among which LLC cells had the highest expression of HMGB1,and 30 μg/ml GA had the best inhibitory effect on HMGB1 expression in LLC cells.Endogenous HMGB1 in LLC cells could promote cell proliferation.Exogenous HMGB1 in TCL induced apoptosis in lung cancer cells and inhibited immune cell activation and prolifera-tion.Inhibition of endogenous HMGB1 in lung cancer cells leaded to activation of the apoptosis-inducing factor CASP9 in the NF-κB signaling pathway,which was inhibited in lung cancer cells or immune cells after the action of TCL with low HMGB1.Conclusion:Tumor cell HMGB1 has a dual role in lung carcinogenesis,promoting the proliferation of lung cancer cells while suppressing the func-tion of immune cells,which in turn causes lung carcinogenesis,a process associated with the activation of the NF-κB signaling path-way in different cells.

The complex anatomical structure of abdominal organs demands high precision in surgical procedures, which also increases postoperative complication risks. Advancements in digital medicine have created new opportunities for precision surgery. This article summarizes the current applications of digital intelligence in precision abdominal surgery. The processing and real-time monitoring technologies of medical imaging provide powerful tools for accurate diagnosis and treatment. Meanwhile, big data analysis and precise classification capabilities of artificial intelligence further enhance diagnostic efficiency and safety. Additionally, the paper analyzes the advantages and limitations of digital intelligence in empowering precision abdominal surgery, while exploring future development directions.

Objective·To develop an early diagnostic model for small cell lung cancer(SCLC)based on differences in serum metabolite expression profiles between patients with SCLC and those with benign pulmonary diseases,using machine learning algorithms.Methods·Serum samples were collected from 29 SCLC patients and 67 patients with benign lung diseases at Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine,as the training cohort.An independent external validation cohort included 20 SCLC patients and 40 patients with benign lung diseases from Gansu Provincial Cancer Hospital.A total of 69 serum metabolites were quantitatively analyzed using liquid chromatography-tandem mass spectrometry(LC-MS/MS).The XGBoost Classifier was employed to rank metabolite importance,and a forward feature selection strategy based on XGBoost was used to identify a subset of key metabolites.Diagnostic models were constructed using AdaBoost,random forest(RF),and light gradient boosting machine(LGBM)algorithms.Model performance was assessed using receiver operating characteristic(ROC)curves and the area under the curve(AUC),and validated on the external test cohort.Results·Principal component analysis(PCA)and orthogonal projections to latent structures-discriminant analysis(OPLS-DA)of the training cohort revealed distinct metabolic profiles between SCLC and benign lung disease patients.Based on feature importance rankings,six key metabolites were selected to construct the MTB-6 diagnostic model.Among the models,AdaBoost achieved the best performance,with an AUC of 0.943,sensitivity of 75.0%,and specificity of 90.9%in the training cohort.In the external test cohort,the model demonstrated robust performance with an AUC of 0.921,sensitivity of 80.0%,and specificity of 87.5%.Conclusion·The MTB-6 model,based on six serum metabolites and the AdaBoost algorithm,exhibits excellent diagnostic performance and holds potential for the differential diagnosis of SCLC and benign pulmonary diseases.

Objective:To analyze the biological parameters of the anterior segment of age-related cataracts patients with or without zonular weakness with the new generation of sweep-source anterior optical coherence tomography (OCT) device CASIA2 to provide a basis for the diagnosis of zonular weakness.Methods:A case-control study was conducted.A total of 158 cases (186 eyes) of patients with age-related cataracts having zonular weakness as a zonular weakness group, and 80 cases (80 eyes) of cataract with age-related cataracts without zonular weakness as a normal zonule group were enroll from June 2022 to June 2023 at Beijing Tongren Hospital.All patients underwent routine preoperative ophthalmological examination including slit lamp microsopy, IOLMaster 700, ocular B-ultrasound and OCT.The anterior chamber depth (ACD), anterior chamber volume (ACV), lens thickness (LT), lens vault (LV), anterior chamber angle opening distance at 750 μm (AOD750), lens decentration and tilt, radius of curvature of the anterior lens surface (RAL), and radius of curvature of the posterior lens surface (RPL) of patients were measured with CASIA2 and compared between the two groups.The relationship between zonular weakness and anterior chamber parameters and lens parameters was evaluated by logistic regression analysis.This study followed the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Beijing Tongren Hospital (No.TRECKY2018-049), and all enrolled patients signed the informed consent form.Results:In the zonular weakness group, ACD, ACV, RAL, and AOD750 were (2.34±0.56)mm, (85.05±40.19)mm 3, 7.52 (7.13, 8.08)mm, and 0.27 (0.07, 0.30)mm, respectively, which were smaller than (3.13±0.38)mm, (127.75±38.15)mm 3, 9.28(8.51, 9.76)mm, and 0.52 (0.31, 0.65)mm in the normal zonule group, with statistically significant differences (all P<0.05).LT and LV in the zonular weakness group were (5.14±0.45)mm and (1.22±0.53)mm, respectively, which were larger than (4.27±0.52)mm and (0.32±0.30)mm in the normal zonule group, and the differences were statistically significant (both P<0.05).Magnitude of lens decentration and tilt in the zonular weakness were 0.34 (0.13, 0.45)mm and 6.44 (3.67, 7.32)°, respectively, which were significantly larger than 0.19 (0.12, 0.25)mm and 4.88 (3.85, 5.65)° in the normal zonule group (both P<0.05).No obvious pattern was found in the direction of decentration and tilt.Logistic regression analysis showed that LV and lens decentration were risk factors of zonular weakness (odds ratios [ OR]=706.170, 335.339; both P<0.05), and RAL was a protective factor of zonular weakness ( OR=0.239, P<0.05). Conclusions:Age-related cataract patients with zonular weakness often present with a decrease in ACV due to increased anterior convexity of the lens.Decreased RAL, increased lens decentration and elevated LV are risk factors for zonular weakness.

Objective·To develop an early diagnostic model for small cell lung cancer(SCLC)based on differences in serum metabolite expression profiles between patients with SCLC and those with benign pulmonary diseases,using machine learning algorithms.Methods·Serum samples were collected from 29 SCLC patients and 67 patients with benign lung diseases at Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine,as the training cohort.An independent external validation cohort included 20 SCLC patients and 40 patients with benign lung diseases from Gansu Provincial Cancer Hospital.A total of 69 serum metabolites were quantitatively analyzed using liquid chromatography-tandem mass spectrometry(LC-MS/MS).The XGBoost Classifier was employed to rank metabolite importance,and a forward feature selection strategy based on XGBoost was used to identify a subset of key metabolites.Diagnostic models were constructed using AdaBoost,random forest(RF),and light gradient boosting machine(LGBM)algorithms.Model performance was assessed using receiver operating characteristic(ROC)curves and the area under the curve(AUC),and validated on the external test cohort.Results·Principal component analysis(PCA)and orthogonal projections to latent structures-discriminant analysis(OPLS-DA)of the training cohort revealed distinct metabolic profiles between SCLC and benign lung disease patients.Based on feature importance rankings,six key metabolites were selected to construct the MTB-6 diagnostic model.Among the models,AdaBoost achieved the best performance,with an AUC of 0.943,sensitivity of 75.0%,and specificity of 90.9%in the training cohort.In the external test cohort,the model demonstrated robust performance with an AUC of 0.921,sensitivity of 80.0%,and specificity of 87.5%.Conclusion·The MTB-6 model,based on six serum metabolites and the AdaBoost algorithm,exhibits excellent diagnostic performance and holds potential for the differential diagnosis of SCLC and benign pulmonary diseases.

Objective:To examine the regulatory effects of a potential antifibrotic tetrapeptide called N-acetyl-seryl-aspartyl-lysyl-proline (Ac-SDKP) on the expression of epidermal growth factor (EGFR) and signal transducer and activator of transcription 3 (STAT3) in lung tissues with fibrosis induced by silicosis in rats. This study aims to explore the potential therapeutic benefits of Ac-SDKP in the prevention and treatment of fibrotic lung diseases associated with silicosis.Methods:In January 2024, disease targets and Ac-SDKP active ingredients were predicted through GeneCards (https://www.genecards.org) and OMIM (https://www.omim.org) databases. Using R 4.2.1 software, we identified overlapping targets between pulmonary fibrosis and AC-SDKP. Cytoscape 3.10.2 was employed to visualize interactions between active chemical components and these targets, followed by GO enrichment analysis and KEGG pathway analysis using R 4.2.1. Forty healthy adult Wistar rats were selected to establish silicosis models through single-dose gavage with 50 mg/ml silica suspension (1. 0 ml per rat). The rats were randomly divided into four groups: model control group (4 weeks), silicosis model group (4 weeks), Ac-SDKP preventive treatment group (acquired via intraperitoneal injection of a micro-release pump containing Ac-SDKP [800 μg/ (kg·d) ] during modeling, maintained for 4 weeks), and Ac-SDKP anti-fibrosis treatment group (acquired via intraperitoneal injection of the same pump after 2 weeks of modeling, continued maintenance for 2 weeks). Each group contained 10 rats. The pathological changes in rat lung tissues were observed. Western blot technology was used to detect the protein expression levels of α-smooth muscle actin (α-SMA), epidermal growth factor receptor (EGFR), signal transduction and activation transcription factor 3 (STAT 3), caspase 3, and caspase 8 in lung tissues. Immunohistochemical techniques were employed to assess the expressions of EGFR, STAT3, caspase 3, and caspase 8. Overall differences between groups were compared using one-way ANOVA.Results:Compared with the control group in the silicosis model, rats in the 4-week group exhibited significant fibrotic nodules. The lung tissues of these rats showed statistically significant increases in α-SMA, EGFR, STAT 3, Caspase 3, and Caspase 8 protein expression ( P<0.05). In contrast, the Ac-SDKP prevention and anti-fibrosis treatment group demonstrated markedly reduced expression levels of these proteins compared to the 4-week silicosis model group, with statistically significant differences ( P<0.05). Immunohistochemical staining revealed that brownish-yellow expression of EGFR, STAT3, Caspase3, and Caspase8 was significantly enhanced in silicotic nodules within the silicosis model group. Conversely, this brownish-yellow expression was notably decreased in the Ac-SDKP prevention and anti-fibrosis treatment group compared to the 4-week silicosis model group. Conclusion:Ac-SDKP may exert antifibrotic effects on the lungs of rats with silicosis by regulating the EGFR/STAT3 pathway.