Background Prenatal chronic psychological stress may increase the risk of allergic diseases in children, and eczema is the most common allergic disease in children, the pathogenesis of which is not yet fully understood. Objective To preliminarily clarify the changes in offspring intestinal flora after chronic stress exposure during pregnancy in rats that increases offspring immune imbalance and eczema susceptibility. Methods Thirty SPF-grade adult female SD rats were selected and randomly divided into a model group and a control group (n=15). Sixteen male rats were randomly divided into a model mating group and a control mating group (n=8). A 28-day chronic unpredictable mild stress (CUMS) model during pregnancy was established. On the 7th day of stress, male and female rats were caged in a ratio of 3:1. Blood samples were collected from female rats in each group via angular vein on the 1st day before stress, and on the 7th, 14th, 21st, and 28th days after stress. The content of plasma corticosterone during pregnancy was determined by enzyme-linked immunosorbent assay (ELISA). For the offspring rats, an eczema model was constructed using 2,4-dinitrochlorobenzene (DNCB). The number of scratching times of the offspring rats within 5 min was recorded. The offspring rats were divided into 4 groups: DNCB-CUMS group (MM), DNCB-control group (MC), solvent control-CUMS group (CM), and blank control group (CC), with 8 rats in each group. The eczema was induced once every 3 days, and the induction period was 12 d. The expression level of immunoglobulin E (IgE) in the serum of offspring rats after the eczema induction experiment were determined by ELISA. The concentrations of tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), interleukin-2 (IL-2), interleukin-4 (IL-4), and interleukin-13 (IL-13) in the serum were quantified by multi-parameter flow cytometry. The composition and abundance of intestinal microbiota in the feces of offspring rats were detected by 16S rRNA high-throughput sequencing technology. Results The plasma corticosterone concentrations in the model group were higher than those in the control group on the 7th and 21st days of stress (P<0.05). On the 14th and 21st days of stress, the 1% sucrose preference percentages of female rats in the model group were lower than that in the control group. On the 7th, 14th, and 21st days of stress, the horizontal movement scores of female rats in the model group and the vertical movement scores on the 7th and 14th days were lower than those in the control group (P<0.05). After 6, 9, and 12 d of model building, the scratching frequencies in the MC group and MM group were significantly higher than those in the CC group and CM group (P<0.05). Moreover, there were differences in the contents of cytokines including IFN-γ, IL-2, TNF-α, IL-4, IL-13, and IgE among the offspring rat groups (P<0.05). The CM group and MM group led to an increase in the contents of TNF-α, IL-4, IL-13, and IgE cytokines (P<0.05), while the MM group caused a decrease in the contents of IFN-γ and IL-2 (P<0.05). After the eczema induction experiment, the α-diversity analysis showed that the Simpson index and Shannon index in the CM were higher than those in the CC (P<0.05), indicating that CUMS during the pregnancy of female rats could increase the species abundance of their offspring. The abundances of Prevotella and Lactobacillus in the CM group decreased (P<0.05). Conclusion Intestinal dysbiosis in offspring due to chronic prenatal psychological stress, which may be one of the mechanisms linking maternal stress to immune imbalance and increased susceptibility to eczema in offspring.

Objective:To explore the causal association between insulin-like growth factor-1(IGF-1)and colorectal cancer(CRC)based on two sample Mendelian randomization(MR)analysis.Methods:A bidirectional two sample MR analysis was conducted based on publicly aggregated data from the IEU OpenGWAS project.The inverse variance weighted(IVW)method was used as the main analysis model to assess the causal relationship between IGF-1 and CRC.Additional analyses were performed using weighted median(WM),MR-Egger regression,weighted mode estimator(WME),and simple mode(SM)methods.Sensitivity analysis was performed to assess the robustness of the results.Results:A total of 386 single nucleotide polymorphisms(SNPs)were selected as instrumental variables(IVs)with IGF-1 as the exposure factor.The MR analysis results revealed a positive causal association between IGF-1 and the risk of CRC[odds ratio(OR)=1.178,95％confidence interval(CI):1.092-1.272)](P＜0.001),and the association remained significant after adjusting for height[OR(95％CI)=1.214(1.111,1.327)](P＜0.001).Cochran's Q-test showed heterogeneity among the IVs(P＜0.05),while the horizontal pleiotropy of IV was not detected by the MR-Egger regression(P＞0.05).The leave-one-out analysis showed that the MR results were robust.Reverse MR analysis indicated no reverse causal relationship between IGF-1 and CRC[OR(95％CI):1.017(0.997,1.037)](P=0.103).Conclusion:There is a causal relationship between IGF-1 level and CRC,and elevated IGF-1 level could be a risk factor for CRC.

Objective:To discuss the influencing factors of angina pectoris in the patients with diabetes mellitus(DM),to construct a Bayesian network model to explore the network relationships among the influencing factors,and to predict the risk of angina pectoris in the patients with DM.Methods:Based on the UK Biobank(UKB)database,the Logistic regression aralysis model was used to screen the influencing factors of angina pectoris in the patients with DM.The taboo search algorithm was used for structure learning,and the Bayesian parameter estimation method was used for parameter learning to construct the Bayesian network model.Results:A total of 22 712 DM patients were included.The influencing factors of angina pectoris in the patients with DM included 14 variables:gender,age,body mass index(BMI),triglycerides(TG),total cholesterol(TC),glycated hemoglobin(HbA1c),hypertension,maternal smoking around delivery,smoking status,alcohol consumption,regular exercise,insomnia,sleep duration,and childhood relative body size(P<0.05).A Bayesian network model was constructed with 15 nodes and 22 directed edges.Among them,age,HbA1c,hypertension,regular exercise,BMI,and sleep duration were directly associated with the occurrence of angina pectoris in the patients with DM,while gender,smoking status,alcohol consumption,TC,TG,insomnia,childhood relative body size,and maternal smoking around delivery were indirectly associated with the occurrence of angina pectoris in the patients with DM.Conclusion:Age,HbA1c,hypertension,regular exercise,BMI,and sleep duration are direct influencing factors of angina pectoris in the patients with DM.Controlling HbA1c,blood pressure,and BMI levels,engaging in regular exercise,and maintaining appropriate sleep duration are beneficial for reducing the risk of angina pectoris in the patients with DM.

Objective:To screen the Alzheimer's disease(AD)-related genes and construct its diagnostic model using bioinformatics technology and machine learning(ML)algorithms,to discuss the immunological characteristics of AD patients,and to provide novel biomarkers for AD diagnosis.Methods:The AD-related gene expression dataset GSE125583 was downloaded from the Gene Expression Omnibus(GEO)database.Differentially expressed genes(DEGs)were identified through differential analysis.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analyses were performed to explore the biological functions and signaling pathways of DEGs.A protein-protein interaction(PPI)network was constructed,and hub genes were screened using Cytoscape software combined with three ML algorithms:Least Absolute Shrinkage and Selection Operator(LASSO),eXtreme Gradient Boosting(XGBoost),and Random Forest(RF).The screened hub genes were utilized to build an AD diagnostic model via RF,followed by feature importance ranking.The model's efficacy and key genes were evaluated using a test set.Single-sample gene set enrichment analysis(ssGSEA)was used for immune cell infiltration analysis between AD group and control group.Results:Differential analysis identified 1 287 DEGs.The GO functional enrichment analysis results revealed that DEGs were primarily involved in biological functions related to neural signaling,synapses,and vesicles.KEGG signaling pathway enrichment analysis indicated significant enrichment of DEGs in ion transport,neurotransmitter,and ligand-gated channel pathways.Nine overlapping hub genes were screened by the three ML algorithms.In the AD diagnostic model,the top four key genes with highest diagnostic performance were adenylate cyclase-activating polypeptide 1(ADCYAP1),brain-derived neurotrophic factor(BDNF),platelet-derived growth factor receptor β(PDGFRB),and C-X-C motif chemokine receptor 4(CXCR4),with corresponding area under the curve(AUC)values of 0.852,0.795,0.820,and 0.756,respectively.The model achieved an AUC of 0.828,accuracy of 81.25%,sensitivity of 84.40%,and specificity of 71.43%.The immune cell infiltration analysis results demonstrated higher infiltration of macrophages,monocytes,natural killer(NK)cells,and lymphocytes in AD tissue.Among these,NK/natural killer T(NKT)cells and plasmacytoid dendritic cells showed significant correlations with the four key genes(P<0.05).Conclusion:The feature genes screened based on bioinformatics and ML exhibit diagnostic potential for AD.Genes such as ADCYAP1 may serve as potential biomarkers for AD diagnosis,offering significant implications for early prevention and treatment.

Objective To explore the mechanism of action of Neiyi Soft Extract in the treatment of endometriosis(EMS)based on network pharmacology and transcriptomics.Methods A model of SD rat with EMS was replicated by autotransplantation method.After successful modeling,the rats were randomly divided into model group,Neiyi Soft Extract low-,medium-and high-dose groups and dienogest group,with 10 rats in each group.Another sham-operated group(10 rats)was set up.After four consecutive weeks of intervention,the volume size of the endometriotic lesions was measured,and its pathological changes were detected by hematoxylin-eosin(HE)staining.RNA was extracted from the rat lesions for transcriptomic sequencing,and Gene Ontology(GO)enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)functional enrichment analysis were performed on the differential genes among various groups.The main active ingredients and their targets of Neiyi Soft Extract were collected and screened in databases such as TCMSP,the disease targets of EMS were collected through databases such as OMIM,the intersection targets between the drug ingredient targets and the diseases were obtained by using Venn diagrams,GO enrichment analysis and KEGG pathway enrichment analysis of genes in the intersection targets of the drug ingredients and the diseases were performed by using gene enrichment analysis online tool(Metascape).The network pharmacology enrichment pathway and transcriptomics enrichment pathway were taken for intersection,the mRNA and protein expression levels of the key targets on the intersection pathway were correspondingly detected by real-time quantitative polymerase chain reaction(qPCR)and Western Blot,respectively.Results The volume of lesions in the model group was significantly increased compared with that of the sham-operated group(P<0.01);the volume of lesions in rats in the drug-administered groups was significantly reduced compared with that of the model group(P<0.05).A total of 341 active ingredients were obtained from Neiyi Soft Extract,and there were 2 178 disease-related targets of EMS,and 278 intersections between drug targets and disease targets;189 differential genes were screened in the sham-operated group and the model group;255 differential genes were screened in the model group and Neiyi Soft Extract high-dose group;and 740 differential genes were screened in the sham-operated group and the Neiyi Soft Extract high-dose group,including 390 up-regulated genes and 350 down-regulated genes.The result of intersection of KEGG enrichment pathways between the network pharmacology and transcriptomics showed that the distriution mainly included P53 signaling pathway,FOXO signaling pathway,cell cycle,etc.The qPCR and Western Blot validation results showed that Neiyi Soft Extract could inhibit the proliferation of endometrial stromal cells and up-regulated the mRNA and protein expression levels of BAX,Caspase3 in EMS rats(P<0.05 or P<0.01),and down-regulated BCL-2 mRNA and protein expression levels(P<0.05 or P<0.01).Conclusion Neiyi Soft Extract may play a therapeutic role in the treatment of EMS by regulating the P53 signaling pathway.

Purpose/Significance By using data mining methods,the medication rules and prescription characteristics of traditional Chinese medicine(TCM)for treating hypertension with preserved ejection fraction heart failure are discussed.Method/Process The da-tabase is established based on the TCMprescription information of hypertensive patients with preserved ejection fraction heart failure ad-mitted to the Cardiovascular Disease Department of the First Affiliated Hospital of Heilongjiang University of Chinese Medicine from Janu-ary 2019 to July 2022.SPSS Statistics and Moderler software are used to analyze the frequency,taste,meridian tropism,efficacy,associ-ation rules,clustering and factor analysis of the prescriptions to explore medication rules.Result/Conclusion TCMin the treatment of hy-pertension with preserved ejection fraction heart failure is mainly to replenish qi and spleen,nourish the heart and calm the mind,relieve phlegm,relieve cough and asthma,and pay attention to promoting blood circulation and removing blood stasis,promoting water infiltra-tion and dampness,which can reflect the overall concept of TCMand the characteristics of diagnosis and treatment based on syndrome dif-ferentiation and provide references for clinical medication.

AIM:To observe the anti-scarring effects and safety of triamcinolone acetonide(TA)-loaded hydrogel sustained-release sheeting on stab incision glaucoma surgery(SIGS)with “one-step tunnel method” in rabbit eyes.METHODS:A total of 48 healthy New Zealand white rabbits were randomly selected and divided into 4 groups(12 rabbits in each group), trabeculectomy(Trab)group, SIGS group, polyvinyl alcohol hydrogel(PVAH)sheeting was implanted under the conjunctiva flap during SIGS(PVAH group), and hydrogel sustained-release sheeting loaded with TA was implanted under the conjunctiva flap during SIGS(TA/PVAH group). On the 1, 2, 3, and 4 wk after surgery, the intraocular pressure, filtering bubble morphology, anterior chamber reaction, and other complications were observed and recorded in each group. Then animals were euthanized, and the surgery area tissues of right eye were taken for pathological tissue paraffin section. Masson staining, picric acid-Sirius rose red staining, as well as α-smooth muscle actin(α-SMA)and fibroblast growth factor 2(FGF2)immunohistochemistry staining was performed on every section. The infiltration of inflammatory cells, proliferation of fibroblasts and synthesis of type I and type III collagen fibers in local tissues were observed. The average positive area ratio of α-SMA and FGF2 antibody immunohistochemical staining in each group was calculated and compared.RESULTS: The TA/PVAH group maintained diffuse and elevated functional filtering blebs, while flat filtering blebs appeared in Trab, SIGS and PVAH groups at 2 wk after surgery. Functional filtering blebs were present in 1 eye(33%), 2 eyes(67%)in the PVAH and TA/PVAH group at 4 wk after surgery, respectively, while the other filtering blebs were flattened. Masson staining showed that the hydrogels in PVAH and TA/PVAH groups did not degrade at 4 wk after surgery. Compared with the Trab and SIGS groups, the filtration passages were more obvious, with less collagen fiber proliferation. Sirius red staining showed that the expression of type I collagen and type III collagen in the TA/PVAH group was less than that in the Trab group, SIGS group and PVAH group at 4 wk after surgery. Immunohistochemical staining showed that the α-SMA expression in the TA/PVAH group was significantly lower than that in the Trab and SIGS groups at 1 wk after surgery(P<0.01). The α-SMA expression was the highest in the Trab and SIGS groups at 2 wk after surgery, while the α-SMA expression in the PHAP and TA/PVAH groups was significantly lower than that in the first two groups(P<0.01). Compared with the Trab group, the expression of FGF2 in the PVAH and TA/PVAH group was significantly increased at 1, 2, 3 and 4 wk after surgery(P<0.05). Compared with the SIGS group, FGF2 expression in the TA/PVAH group was significantly increased at 4 wk after surgery(P<0.05).CONCLUSION:In SIGS surgery of rabbit eyes, implanting hydrogel sustained-release sheeting loaded with TA under conjunctival flap can effectively inhibit the scarring of the filtering bleb, which may be the interaction of the anti-scar effect of TA and the stent function of hydrogel.

AIM: To analyze and screen influencing factors of diabetic patients complicated with retinopathy, and establish and validate prediction model of nomogram.METHODS: A total of 1 252 patients from the Diabetes Complications Early Warning Dataset of the National Population Health Data Archive(PHDA)between January 2013 to January 2021 were selected and randomly divided into a modeling group(n=941)and a validation group(n=311). Univariate analysis, LASSO regression and Logistic regression analysis were used to screen out the influencing factors of diabetic retinopathy, and a nomogram prediction model was established. The receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve were used to evaluate the model. The clinical benefit was evaluated by the decision curve analysis(DCA).RESULTS: Age, hypertension, nephropathy, systolic blood pressure(SBP), glycated hemoglobin(HbA1c), high-density lipoprotein cholesterol(HDL-C), and blood urea(BU)were the influencing factors of diabetic retinopathy. The area under the curve(AUC)of the modeling group was 0.792(95%CI: 0.763-0.821), and the AUC of the validation group was 0.769(95%CI: 0.716-0.822). The Hosmer-Lemeshow goodness of fit test and calibration curve suggested that the theoretical value of the model was in good agreement(modeling group: χ2=14.520, P=0.069; validation group: χ2=14.400, P=0.072). The DCA results showed that the threshold probabilities range was 0.09-0.89 for modeling group and 0.07-0.84 for the validation group, which suggested the clinical net benefit was higher.CONCLUSION: This study constructed a risk prediction model including age, hypertension, nephropathy, SBP, HbA1c, HDL-C, and BU. The model has a high discrimination and consistency, and can be used to predict the risk of diabetic retinopathy in patients with diabetes.

ObjectiveTo predict the potential nephrotoxic components in traditional Chinese medicine health food products based on the Traditional Chinese Medicine Toxicity Alert System and Basic Toxicology Database （TCMTAS-BTD）， screen and validate the predicted components by cell and animal experiments， and decipher the mechanism of nephrotoxicity by network pharmacology. MethodTCMTAS-BTD was utilized to predict the toxicity of 3 540 compounds found in the catalogue of traditional Chinese health food ingredients. In the cell experiment， the top 5 compounds with high toxicity probability were screened by measurement of cell proliferation and viability （CCK-8） and high-content screening. ICR mice were randomized into a control group， a low-dose （2.91 mg·kg^-1·d^-1） ecliptasaponin A， and a high-dose （29.1 mg·kg^-1·d^-1） ecliptasaponin A group， with 10 mice in each group， and treated continuously for 28 days. During the experiment， the general conditions of the rats were observed， and the kidney index was calculated. The levels of serum creatinine （SCr） and blood urea nitrogen （BUN） in the serum as well as the content of malondialdehyde （MDA） and superoxide dismutase （SOD） in the renal tissue were measured. The pathological changes of the kidney were observed. Network pharmacology was employed to predict the potential pathways of nephrotoxicity. Finally， the pathway-associated proteins were validated by Western blot. ResultThe top 5 compounds with high probability of nephrotoxicity were ecliptasaponin A， chrysophanol， rutaecarpine， tanshinoneⅠ， and geniposidic acid. In the cell experiment， CCK-8 results showed that 10 μmol·L^-1 ecliptasaponin A， 60 μmol·L^-1 chrysophanol， 40 μmol·L^-1 rutaecarpine， and 20 μmol·L^-1 tanshinone I altered the viability of HK-2 cells. High-content analysis showed that 10 μmol·L^-1 ecliptasaponin A， chrysophanol， rutaecarpine， and tanshinone Ⅰ reduced the cell number （P<0.05， P<0.01）. The animal experiment showed that the mice in the high-dose ecliptasaponin A group presented slow movement， slow weight gain （P<0.01）， increased kidney index （P<0.01）， elevated SCr， BUN， and MDA levels （P<0.01）， and lowered SOD level （P<0.01）. Mild histopathological changes were observed in the high-dose ecliptasaponin A group. The network pharmacology results showed that the key targets of nephrotoxicity induced by ecliptasaponin A were mainly enriched in the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， prostatic cancer and lipid and atherosclerosis pathways. Western blot results verified that high dose of ecliptasaponin A raised the phosphorylation levels of PI3K and Akt （P<0.01）. ConclusionOn day 28 of administration， 29.1 mg·kg^-1 ecliptasaponin A was found to induce renal injury in rats. The mechanism may be related with the PI3K/Akt signaling pathway， which implied that excessive and prolonged usage of Ecliptae Herba may increase the incidence of adverse drug reactions.

Objective:To investigate the long-term therapeutic effects and safety of renal denervation (RDN) on hypertensive patients with different cardiovascular risks, as well as its impact on adverse events, cardiovascular death and all-cause mortality.Methods:This was a single-center, single-arm, real-world retrospective study. Patients with refractory hypertension who underwent RDN at Tianjin First Central Hospital from July 6, 2011 to December 23, 2015 were enrolled and divided into either a high or intermediate-low risk group based on baseline cardiovascular risk. The treatment responsiveness of hypertensive patients with different cardiovascular stratification to RDN was assessed by comparing the results of office blood pressure, home blood pressure, and 24-h ambulatory blood pressure monitoring at 1, 5, and 11 years after RDN. Long-term safety of RDN was assessed by creatinine, and estimated glomerular filtration rate (eGFR) at 1 and 11 years after RDN. In addition, the total defined daily dose (DDD) of antihypertensive medications and the incidence of long-term adverse events, cardiovascular deaths, and all-cause deaths after RDN were followed up 11 years after RDN in person or by telephone.Results:A total of 62 patients with refractory hypertension, aged (50.2±15.0) years, of whom 35 (56.5%) were male, were included. There were 35 cases in high-risk group and 27 cases in low and medium risk group. The decrease in clinic systolic blood pressure (high risk vs. low-medium risk: (-38.0±15.1) mmHg vs. (-25.0±16.6) mmHg(1 mmHg=0.133kPa), P=0.002), home self-measured systolic blood pressure ((-28.4±12.7) mmHg vs. (-19.7±13.1) mmHg, P=0.011) and clinic systolic blood pressure 11 years after RDN ((-43.0±18.4) mmHg vs. (-27.8±17.9) mmHg, P=0.003) in the high-risk group was significantly higher than that in the low-medium risk group. The differences in heart rate and the decrease in total DDD number of antihypertensive drugs between the two groups were not statistically significant (all P>0.05). Creatinine and eGFR levels in the two groups at 1 and 11 years after RDN were not statistically significant when compared with the baseline values (all P>0.05). The cumulative cardiovascular mortality rate was 1.6% (1/62) and 8.1% (5/62), and the cumulative all-cause mortality rate was 3.2% (2/62) and 11.3% (7/62) at 5 and 11 years after RDN, respectively. The differences in the incidence rate of adverse events, cardiovascular mortality, and all-cause mortality rate between the two groups were not statistically significant (all P>0.05). Conclusions:RDN has long-term antihypertensive effect and good safety. Hypertensive patients who belong to the high-risk stratification of cardiovascular risk may respond better to RDN treatment.