ObjectiveTo investigate the anti‑pancreatic fibrosis mechanism of Klotho‑derived peptide 7 （KL7） by observing its effect on a mouse model of chronic pancreatitis （CP） induced by cerulean， and to provide a basis for clinical medication. MethodsA total of 40 male BALB/c mice were randomly divided into control group， model group， low-dose KL7 group （2 mg/kg）， and high-dose KL7 group （4 mg/kg）， with 10 mice in each group. All mice except those in the control group were given intraperitoneal injection of cerulean （50 μg/kg） 6 times a day at an interval of 1 hour， twice a week for 4 consecutive weeks to establish a model of CP. The mice in the low-dose KL7 group and the high-dose KL7 group were treated with different doses of KL7 once a day for 4 consecutive weeks. In vivo imaging was used to observe the accumulation of KL7 in the pancreas； molecular docking was used to detect the binding of KL7 to transforming growth factor-β type Ⅱ receptor （TβRⅡ）； the mice were measured in terms of body weight and pancreatic weight； HE staining was used to observe the pathological changes of pancreatic tissue； Masson staining was used to observe the degree of pancreatic fibrosis； immunohistochemical staining was used to measure the expression of α-smooth muscle actin （α-SMA） and type Ⅰ collagen （COL1A1）； Western blotting was used to measure the protein expression levels of α-SMA， TβRII， and phosphorylated small mothers against decapentaplegic homolog 2/3 （p-Smad2/3） in pancreatic tissue. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test and the Dunnett’s-T3 test were used for further comparison between two groups. ResultsKL7 was significantly enriched in the pancreatic tissue of CP mice， and there was a strong binding activity between KL7 and TβRⅡ. Compared with the control group， the model group had significant reductions in pancreatic mass and relative pancreatic mass （P<0.000 1）， with disordered structure of pancreatic tissue， an increase in inflammatory cell infiltration， and significant increases in fibrosis degree， the positive areas of α-SMA and COL1A1 （P<0.000 1）， and the protein expression levels of α-SMA， TβRⅡ， and p-Smad2/3 （P<0.05）. Compared with the model group， the high-dose KL7 group had significant increases in pancreatic mass and relative pancreatic mass （P<0.01）， with alleviation of structural damage of pancreatic tissue and inflammatory cell infiltration， a significant reduction in fibrosis degree， and significant reductions in the positive areas of α-SMA and COL1A1 （P<0.001） and the protein expression levels of α-SMA， TβRⅡ， and p-Smad2/3 （P<0.01）. ConclusionKL7 has a significant targeted therapeutic effect on pancreatic fibrosis in CP mice through specific binding of KL7 to TβRⅡ， thereby inhibiting the activation of the TGF-β/Smad signaling pathway.

Objective To analyze the factors affecting the prognosis of patients with locally advanced or metastatic non-small cell lung cancer (NSCLC) undergoing immunotherapy and construct an individualized prognostic nomogram prediction model. Methods A retrospective analysis was conducted on the clinical data of 385 patients with driver gene-negative, locally advanced or metastatic NSCLC who received first-line immune checkpoint inhibitors. Univariate and multivariate Cox regression analyses were used to identify prognostic risk factors, and a prognostic nomogram model was established. The predictive performance of the model was evaluated using the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curves and area under the curve (AUC), and calibration curves. The cutoff value of the nomogram was calculated to stratify patients by risk. Survival curves were calculated by Kaplan-Meier analysis. Results Age (HR=1.775, 95%CI: 1.265-2.490), degree of differentiation (HR=0.365, 95%CI: 0.257-0.519), low PD-L1 expression (HR=0.661, 95%CI: 0.455-0.960), high PD-L1 expression (HR=0.423, 95%CI: 0.297-0.603), SCC-Ag (HR=1.549, 95%CI: 1.109-2.163), and CONUT score (HR=2.527, 95%CI: 1.797-3.554) were independent risk factors affecting overall survival (OS) of patients with NSCLC undergoing immunotherapy. The nomogram prediction model constructed on the basis of these factors had a C-index of 0.767. Time-dependent ROC curves for survival showed that the AUCs for 1-, 2-, and 3-year OS were 0.830, 0.853, and 0.886, respectively. Calibration curves indicated that the nomogram-predicted survival rates were in good agreement with the actual outcomes. The cutoff value for the study’s nomogram prediction model was 136.60 points, and survival curves showed statistically significant differences between different risk groups (P<0.05). Conclusion The nomogram model established in this study can effectively predict the prognosis of patients with driver gene-negative locally advanced or metastatic NSCLC treated with first-line immunosuppressive therapy. It provides a new tool for assessing prognosis and aids clinicians in formulating individualized treatment plans.

Objective To propose and validate a decomposition method based on half-projection reconstruction for dual-energy cone beam CT(DE CBCT),thereby providing a potentially feasible low-dose imaging solution for anatomical monitoring and dose reconstruction optimization in adaptive radiotherapy.Methods Dual-energy scans were performed on a Gammex phantom using the on-board kilovoltage CBCT system of a VitalBeam accelerator at acquisition frame rates of 15 and 7 frames per second(f/s).Images were reconstructed from the projection data,and dual-energy decomposition was applied to the 7 f/s dual-energy images to derive relative electron density(RED)and stopping power ratio(SPR)using weighted formulas and empirical functions,followed by accuracy evaluation.Additionally,the weighted CT dose index was calculated for different scanning parameters.Results Dual-energy decomposition effectively suppressed image artifacts,with RED and SPR errors remaining below 2.82%and 2.56%,respectively.Compared with the traditional dual-scan method which required high-and low-energy acquisitions,the weighted CT dose index of the half-projection DE CBCT was reduced by 11.60 mGy(a 52.90%reduction).Furthermore,it was 2.58 mGy lower than the dose of the full-projection high-energy CBCT alone(a 19.98%reduction)and only 1.31 mGy higher than that of the low-energy CBCT(a 14.52%increase).Conclusion The proposed method effectively suppresses image artifacts while maintaining high accuracy in RED and SPR under low radiation dose conditions,demonstrating its potential value for scenarios requiring frequent image guidance,such as adaptive radiotherapy.

With the rapid development of artificial intelligence(AI),how to digitize the teaching of Medical Immunology is a new challenge posed by the times and education.This study is based on the advanced teaching model of Medical Immunology,which includes lectures-PAD class-flipped classrooms-expert lecture.By introducing knowledge mapping and AI teaching assistant into the entire learning process,the students not only deepen their understanding of the knowledge system of Medical Immunology,but also ex-ercise their ability to apply immunological knowledge to solve practical clinical problems,enhance their self-learning ability,expres-sion ability,communication ability,on-site performance ability,and cultivate a spirit of unity,cooperation,and exploration.The practice of empowering Medical Immunology teaching with digital intelligence achieves the integration of theory and application,the linkage between in class and out of class teaching,the connection between commonalities and individualities,and the union of abili-ties and qualities in Medical Immunology teaching.It also provides practical basis for exploring the implementation path of digital intel-ligence empowerment in Medical Immunology teaching.

Objective:To investigate the clinical characteristics of patients with multiple myeloma(MM)complicated by bone lesions and the risk factors associated with bone lesions.Methods:The clinical data of 294 newly diagnosed MM patients in Gansu Provincial Hospital from January 2017 to June 2021 were retrospectively analyzed.The patients were divided into the bone lesion group(154 cases)and the non-bone lesions group(140 cases)based on the presence of absence of bone lesions at diagnosis.The general data and laboratory parameters were compared between the two groups.The risk factors for bone lesions in MM patients were analyzed by logistic regression analysis,and the characteristic(ROC)curves were plotted to assess the predictive value of each risk factor for the occurrence of bone lesions in MM patients.Results:Compared to the non-bone lesion group,the bone lesion group had significantly higher serum calcium levels and significantly greater proportions of patients with Durie-Salmon(DS)stage Ⅲ,and bone pain(all P＜0.05).Logistic regression analysis showed that elevated serum calcium(OR=5.135,95％CI:1.931-13.653,P=0.001),DS stage Ⅲ(OR=1.841,95％CI:1.019-3.328,P=0.043),and bone pain(OR=8.208,95％CI:4.761-14.151,P＜0.001)were independent risk factors for bone lesions in MM patients.ROC curve analysis showed that serum calcium(AUC=0.619,95％CI:0.555-0.683,P＜0.001)and bone pain(AUC=0.743,95％CI:0.692-0.793,P＜0.001)had predictive value for bone lesions in MM patients.Conclusion:MM patients have a high incidence of bone lesions,and active monitoring and management of risk factors may improve treatment outcomes and prognosis.

This paper reviews the current situation of massive open online course (MOOC) construction both domestically and internationally, highlighting the similarities, differences, and limitations of MOOC construction across nations. Based on the full-cycle MOOC construction of the "clinical epidemiology" course at Southern Medical University, including course design, resource integration, online deployment, and teaching evaluation, this study explored the significance, implementation path, and challenges of MOOC construction. This paper also reflects on the activation of teaching content, teacher-student interaction, and teaching mode, aiming to provide a reference for the construction and continuous enhancement of MOOC in China.

AIM To study the chemical constituents from Asteris Radix et Rhizoma and their anti-inflammatory activities.METHODS The extract from Asteris Radix et Rhizoma was isolated and purified by column chromatography and high performance liquid chromatography,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their anti-inflammatory activities were evaluated by RAW264.7 model.RESULTS Thirteen compounds were isolated and identified as(Z)-9,10,11-trihydroxy-12-octadecenoic acid(1),tianshic acid(2),6,6-dimethyl-2-methlenebicyclo[3.1.1]hept-3-O-(6-O-apiofuranosyl)-β-D-glucopyranoside(3),ent-16β,17-dihydroxy-kauran-19-oic acid(4),ent-17-hydroxy-19-kauranoic acid(5),7β,17-dihydroxy-16α-ent-kauran-19-oic acid 19-O-β-D-glucopyranoside ester(6),paniculoside Ⅳ(7),thomimarine A(8),cyclo-(S-Pro-R-Leu)(9),4,5-di-O-caffeoylquinic acid 1-methyl ether(10),methyl 3,5-di-O-caffeoyl quinate(11),5-acetyl-3β-hydroxy-2β-(1-hydroxyisopropyl)-2,3-dihydrobenzofurane(12),4-ally-2,6-dimethoxyphenyl glucoside(13).Compounds 1 and 3-12 had inhibition on the release of NO in RAW264.7 cells,and 4-6,8,10-12 were better than the positive control.CONCLUSION Compounds 1,6,8-9 are isolated from Compositae family for the first time,and 2-5,7,10 and 11-13 are first isolated from this plant.Compounds 1,3-12 have anti-inflammatory activities.

Theory and technology of Medical Immunology are widely used in scientific research.Our teaching and research group uses experimental teaching of Medical Immunology as a platform to carry out practice of scientific research project-based experi-mental system among"5+3"integration students.By completing a mini-project research including experimental design-experimental operation-research article writing,students cultivated scientific research thinking and exercised scientific research practice ability,and generally reported that the course is very difficult,but after completing it,it is very rewarding.

Aim To investigate the effect of oroxylin A(OA)on apoptosis in Ishikawa cell line of endometrial cancer and the underlying mechanism through the phosphatidylinositol-3 kinase/protein kinase B(PI3K/AKT)signaling pathway.Methods Ishikawa cells were treated with different concentrations of OA(0,4,8,10,12,and 20 μmol·L-1)for 24 h-72 h,the cell viability was detected by CCK-8 assay,apoptosis was detected by flow cytometry,and the protein ex-pression levels of B-cell lymphoma-2(Bcl-2),Bcl-2-associated X protein(Bax),PI3K/AKT,recombinant cytochrome P450 1B1(CYP1B1),and catechol-O-methyltransferase(COMT)were detected by Western blot technique.Results OA inhibited the prolifera-tion of Ishikawa cells in a concentration-and time-de-pendent manner.Compared with the blank control group,the expression of Bax protein increased signifi-cantly,while the expression of Bcl-2 protein decreased significantly with the increase of OA concentration.The expression of COMT protein increased significant-ly,while the expression of CYP1B1 protein decreased significantly.PI3K/AKT:IGF-1(PI3 K agonist)sup-plementation reversed the effect,the expression of COMT protein significantly decreased,and the expres-sion of CYP1B1 protein significantly increased.Con-clusions OA exerts anti-tumor effects in Ishikawa cells of endometrial cancer,which may be related to cell apoptosis mediated by the inhibition of the PI3K/AKT signaling pathway.

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%.