ObjectiveTo investigate the effect and mechanism of Polygonatum neutral polysaccharides from sibiricum （PSP-NP） on colon injury in mice with chronic obstructive pulmonary disease （COPD）. MethodsMale C57BL/6J mice were randomly divided into a control group， a COPD model group， and a PSP-NP group. The COPD model was established using smoke exposure combined with intranasal LPS administration. The PSP-NP group was simultaneously treated daily with 200 mg/kg of PSP-NP via intragastric gavage， while the other groups received an equal volume of saline. HE staining was used to observe the pathological changes in the colon. ELISA was employed to detect the levels of LPS in serum and the expressions of ZO-1， Occludin， IL-6， and TNF-α in colon tissue. UPLC-MS was used to detect the types and contents of bile acids in colonic content， and to screen for differential bile acids. Differential microbial flora were identified using 16S rRNA gene sequencing， and correlation analysis was conducted with differential bile acids. PSP-NP was combined with the differential bile acids cholic acid （CA）， and deoxycholic acid （DCA） in vitro to analyze the binding capacity of PSP-NP for CA and DCA. PSP-NP was applied to NCM460 normal colonic epithelial cells cultured in CA and DCA. Cell migration ability was assessed using the scratch assay， and the mRNA expression levels of inflammatory cytokines TNF-α， IL-6， and NF-κB were measured by RT-qPCR. ResultsPSP-NP effectively improved colonic damage in COPD model mice， enhanced mechanical barrier function， alleviated inflammatory response， and regulated abnormal changes in colonic flora and bile acid metabolism. Correlation analysis further revealed that PSP-NP regulated colonic bile acid metabolism and reduced the redundancy of secondary bile acids by increasing the relative abundance of Bacteroidota， Verrucomicrobiota， Bacteroides， and Akkermansia， while decreasing the relative abundance of Lactobacillus and Bifidobacterium. Notably， in vitro binding assays demonstrated that PSP-NP bound to differential bile acids DCA and CA， with the strongest binding capacity for DCA at 58.2%. In cellular functional studies， DCA inhibited the migration ability of colonic epithelial cells NCM460 and significantly increased the relative mRNA expression levels of inflammatory factors TNF-α， IL-6， and NF-κB. Importantly， co-treatment with PSP-NP significantly ameliorated the impact of DCA on NCM460 cells. ConclusionsPSP-NP may significantly improve colonic damage in COPD model mice. The mechanism may involve the regulation of colonic bile acid metabolism and bile acid profiles through both microbial modulation and direct binding， thereby reducing the damage caused by secondary bile acids such as DCA to colonic epithelial cells.

Background The affinity between placental transporters and perfluoroalkyl substances (PFAS) could affect the placental transport and toxicity of PFAS, while the study on the interaction between PFAS and placental transporters is limited. Objective To explore interactions between PFAS and placental transporters using molecular docking, and to provide a theoretical basis for PFAS toxicity prediction and fetal health risk assessment. Methods Fifteen PFAS compounds, each conformationally sampled and energy-minimized, and 16 placental transporters, represented by their 3D structures, were imported into a molecular docking software (MOE 20140901). For each PFAS, 30 distinct conformations were generated and docked into the active pockets of the transporters using a semi-flexible docking mode. Docking poses were primarily scored and ranked based on their calculated binding free energy (ΔG, kcal·mol⁻¹), with additional consideration given to hydrogen bonding interactions and the ligand's root mean square deviation (RMSD) at the binding site; the top 20 poses for each complex were subsequently output. Optimal binding configurations were identified as those exhibiting a relatively low binding free energy (ΔG ranging from −3 to −10 kcal·mol⁻¹), well-defined hydrogen bonds, and an RMSD ≤ 2.0 Å. The binding capabilities of the PFAS to the placental transporters were then evaluated based on these optimal docking results. Results The PFAS could bind to the placental transporters, with structural specificity. For example, the binding capabilities increased as the carbon chain length of PFAS increased, and it was also higher for PFOS alternatives than for PFOS. Besides, the binding capabilities of sulfonic PFAS with the same carbon chain length was also stronger than that of carboxylic PFAS. For example, the binding capabilities of PFOS (C8) to 15 placental transporters was higher than that of PFOA (C8), except for glucose transporter 1 (PFOS vs. PFOA: −4.14 vs. −4.14). Further, PFAS might be bound to the placental transporter through hydrogen, ionic, and hydrophobic interactions. Conclusion PFAS are able to bind the placental transporters, and its toxicity and exposure risk can’t be ignored.

Aim To analyze serum exosome sequencing data from patients with coronary heart disease(CHD)and normal subjects by using bioinformatics-related methods to construct a competitive endogenous ln-cRNA-miRNA-mRNA(ceRNA)regulatory network,to mine the predicted potential Chinese medicines,and to perform preliminary validation of the biological processes and core Chinese medicines involved in the ceRNA network.Methods We used exoRbase data-base to obtain the expression matrix of differential genes,combined with the raw letter method to con-struct the ceRNA network,and performed GO analysis and KEGG analysis on the differential mRNAs in the network,and used COREMINE database to predict the biological processes and core target genes involved in the ceRNA network,and to screen the herbal medi-cines with potential therapeutic effects;AVECs oxida-tive damage cell model was constructed in vitro,and the cytoskeleton,tube-forming function,cell prolifera-tion,LDH leakage rate,ROS level and p-AKT,AKT,p-PI3K and AKT protein expression were examined to verify the action pathways and targets of the core Chi-nese medicine Salvia miltiorrhiza for the treatment of coronary heart disease.Results Compared with nor-mal subjects,395 mRNAs,80 miRNAs,60 lncRNA differential genes,and 80 miRNAs were predicted in serum exosomes of coronary heart disease,and the constructed ceRNA sub-network,mainly consisted of 21 lncRNAs,80 miRNAs,and 82 mRNAs;AKT1,VEGFA,IL1B and other genes in the network.The abnormally expressed mRNAs were involved in biologi-cal processes such as oxidative stress and signaling pathways such as PI3 K/Akt,and Dan Shen,Chuanx-iong and Panax notoginseng were most closely related to exosome-mediated biological processes and core genes in coronary heart disease.The active ingredients of tanshinone ⅡA,the core Chinese medicine,could pro-mote vascular endothelial cell proliferation,tube for-mation,skeleton formation and repair,reduce LDH leakage rate and ROS level,and promote the expres-sion of p-AKT and p-PI3K protein.Conclusion There is a complex ceRNA regulatory network trans-duction in coronary artery disease serum exosomes,and traditional Chinese medicine can be used to treat CHD through multi-target intervention,and Dan Shen,Chuanxiong and Panax notoginseng are expected to be candidate sources of traditional Chinese medicine,a-mong which the active ingredient of Dan Shen,tanshi-none ⅡA,activates PI3 K/Akt signaling pathway to play a protective role against oxidative stress-injured cells,and treats CHD.

Objective:To analyze the clinical characteristics, etiological composition, imaging features, and prognosis of adrenal metastases.Methods:This study is a retrospective case series that included 96 patients with pathologically confirmed adrenal metastases who were treated at West China Hospital, Sichuan University, from 2007 to 2017. Clinical features such as sex, age, tumor size, biochemical tests, imaging characteristics, postoperative pathology, treatment methods, and prognosis were collected and analyzed. The prognosis of patients and its influencing factors were analyzed by Kaplan-Meier survival curve and single-factor Cox risk proportional model.Results:Among the 96 included patients, 64 were male and 32 were female, with a median age of 60 years. There were 89 cases of unilateral adrenal metastases, five cases of bilateral metastases, and two cases with unspecified laterality. The median diameter of the metastases was 3.5 cm×2.9 cm, with an average CT value of 31 HU. Thirty-four cases of adrenal hormones were evaluated, and no abnormality was found.The primary tumor sites were as follows: lung ( n=36), kidney ( n=19), liver ( n=12), pancreas ( n=7), rectum ( n=3), stomach ( n=2), and one case each of tumor in the esophagus, skin, thyroid, left maxillary muscle, breast, bladder, cervix, chest wall, and gastrointestinal tract. There were three cases with unknown primary tumors. The most common pathological type was lung adenocarcinoma (20.8%, 20/96), followed by hepatocellular carcinoma (9.4%, 9/96) and high-grade invasive urothelial carcinoma of the kidney (8.3%, 8/96). Thirty-nine cases were diagnosed concurrently with the primary tumor, while 37 cases were diagnosed after the primary tumor, with a median interval of 15 months (range: 2-144 months). There was no significant correlation between the death risk of adrenal metastatic tumor patients and gender, age, and the size of the metastatic tumor (all P>0.05). There were 4 patients with radiotherapy and chemotherapy alone, 19 patients with surgery alone, and 6 patients with combined radiotherapy and chemotherapy. The median overall survival was 1, 3, and 7 years, respectively. Conclusions:Adrenal metastases were mostly diagnosed at the same time as the primary tumor or within 15 months after the diagnosis of the primary tumor. Unilateral metastasis is common. The lungs are the most common primary lesion, followed by the kidney and liver. CT is the preferred method for the diagnosis of adrenal metastases, and the plain CT value is more than 30 HU. The overall prognosis of adrenal metastases is poor. The prognosis was better for patients who underwent surgery combined with radiotherapy and chemotherapy than those who received only surgery or radiotherapy and chemotherapy alone.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

The biological clock(also known as the circadian rhythm)is the fundamental reliance for all organisms on Earth to adapt and survive in the Earth's rotation environment.Circadian rhythm is the most basic regulatory mechanism of life activities,and plays a key role in maintaining normal physiological and biochemical homeostasis,disease occurrence and treatment.Recent studies have shown that the biologi-cal clock plays an important role in the development of oral tissues and in the occurrence and treatment of oral diseases.Since there is cur-rently no guiding literature on the research methods of biological clock in stomatology,researchers mainly conduct research based on pub-lished references,which has led to controversy about the research methods of biological clock in stomatology,and there are many confusions about how to rationally apply the research methods of circadia rhythms.In view of this,this expert consensus summarizes the characteristics of the biological clock and analyzes the shortcomings of the current biological clock research in stomatology,and organizes relevant experts to summarize and recommend 10 principles as a reference for the rational implementation of the biological clock in stomatology research.

Objective To explore the methylation levels of HOXA6 and fragile histidine triad gene(FHIT)in circulating free DNA(cfDNA)in plasma and their role in the diagnosis of prostate cancer(PCa).Methods A total of 192 prostate illness patients who visi-ted our hospital from February 2021 to February 2023 were collected as the study subjects,including 112 PCa patients as the disease group and 80 patients with prostatic hyperplasia as the control group.The methylation specific PCR(MSP)method was applied to detect the methylation levels of HOXA6 and FHIT in plasma cfDNA;the relationship between the methylation levels of HOXA6 and FHIT in plasma cfDNA and clinical data was analyzed;multi-factor Logistic was applied to analyze the influencing factors of PCa occurrence;and the di-agnostic value of HOXA6 and FHIT methylation in PCa was evaluated.Results The methylation rates of HOXA6 and FHIT in the plasma cfDNA of the disease group were significantly higher than those of the control group(P＜0.05);the methylation rates of HOXA6 and FHIT in patients with TNM stages Ⅰ-Ⅱ were lower than those in stages Ⅲ-Ⅳ,while patients with lymph node metastasis had higher HOXA6 and FHIT methylation rates than those without lymph node metastasis(P＜0.05);the sensitivity and specificity of the combina-tion of HOXA6 and FHIT methylation in the diagnosis of PCa were 75.89％and 95.00％,respectively,the diagnostic efficacy of the combination of the two was higher than that of HOXA6 and FHIT methylation alone;multivariate Logistic analysis showed that HOXA6 and FHIT methylation were the influencing factors for the occurrence of PCa(P＜0.05).Conclusion The levels of HOXA6 and FHIT meth-ylation in plasma cfDNA of PCa patients are elevated,they could be the influencing factors of PCa,and the combination of the two factors has higher diagnostic efficacy than individual diagnosis,and has certain diagnostic value.

The construction of a medication safety culture is important for medication safety management and rational drug use.The construction of medication safety culture standards is formulated based on relevant national policies and regulations,accreditation standards for hospitals,expert opinions,the current situation,and the development trend of the healthcare industry.With scientificity,general applicability,instructive guidance,and practicality,they standardized basic requirements,management processes,and improvement of the construction of medication safety culture.To facilitate understanding and the implementation of the standards,we describe the process of standards formulation and explain the key points of the standards.

Objective:An artificial intelligence(AI)model based on deep learning algorithms was constructed using clinical data to evaluate the feasibility of predicting the efficacy of neoadjuvant immunotherapy combined with chemotherapy for non-small cell lung cancer(NSCLC).Methods:Clinical and pathological data of 132 patients with NSCLC who were diagnosed and treated with neoadjuvant immunotherapy combined with chemotherapy between January 2020 and January 2024 at Beijing Chest Hospital/Beijing Tuberculosis and Thoracic Tumor Research Institute were collected.Statistical analysis was conducted to identify the main factors affecting the efficacy of neoadjuvant im-munotherapy combined with chemotherapy.Variables were selected based on statistical results and relevant literature,and a variable data-set was constructed.A deep learning model was established using a multi-layer perceptron(MLP)algorithm with 5-fold cross-validation,and the performance of the model was evaluated using receiver operating characteristic curve(ROC).Results:Among the 132 patients,univari-ate analysis demonstrated statistically significant differences in sex(P=0.020),smoking history(P=0.004),carcinoembryonic antigen(CEA)(P=0.038)and programmed death-ligand 1(PD-L1)≥1%(P=0.038)between the major pathological response(MPR)and non-MPR groups.Patients in the complete pathological response(pCR)group and non-pCR groups showed statistical differences in tumor size(P=0.007)and CEA levels(P=0.010).After 5-fold cross-validation,the average area under the curve(AUC)of the MPR prediction model in the validation and test sets was 0.72 and 0.71,respectively.Conclusions:The deep learning model can effectively predict the efficacy of neoadjuvant chemoim-munotherapy in patients with NSCLC.

Objective:To establish the reference value of the angle between the left ventricular inflow and outflow tract (LIOA) in normal fetuses in the second and third trimesters, and observe the correlation between fetal LIOA and gestational age, cardiac axis, cardiac size, and estimated fetal weigh (EFW).Methods:Fetal LIOA in normal fetuses with gestational age from 16 weeks to 39 + 6 weeks were obtained prospectively by two-dimensional ultrasound in the Second Xiangya Hospital from November 2022 to April 2023. Pearson′s correlation coefficient was used to analyze the correlation between fetal LIOA and gestational age, cardiac axis, cardiovascural size and EFW. Results:The LIOA range of 651 normal fetuses was (44.39±7.67)°, and it was found that LIOA was not related to gestational age. LIOA mildly positively correlated with the cardiac axis ( r=0.22, P<0.05) while not correlated with gestational age, cardiovascural size or EFW (all P>0.05). Conclusions:The range of LIOA in normal fetuses were established. Fetal LIOA is constant in the second and third trimesters and it is mildly positively correlated with the cardiac axis. Evaluating fetal LIOA may also provide information for future research on the fetal aortic hemodynamic development.