Objective: To investigate the efficacy of magnesium-strontium co-doped hydroxyapatite mineralized collagen (MSHA/Col) in improving the bone repair microenvironment and enhancing bone regeneration capacity, providing a strategy to address the insufficient biomimetic composition and limited bioactivity of traditional hydroxyapatite mineralized collagen (HA/Col) scaffolds. Methods: A high-molecular-weight polyacrylic acid-stabilized amorphous calcium magnesium strontium phosphate precursor (HPAA/ACMSP) was prepared. Its morphology and elemental distribution were characterized by high-resolution transmission electron microscopy (TEM) and energy-dispersive spectroscopy. Recombinant collagen sponge blocks were immersed in the HPAA/ACMSP mineralization solution. Magnesium-strontium co-doped hydroxyapatite was induced to deposit within collagen fibers (experimental group: MSHA/Col; control group: HA/Col). The morphological characteristics of MSHA/Col were observed using scanning electron microscopy (SEM). Its crystal structure and chemical composition were analyzed by X-ray diffraction and Fourier transform infrared spectroscopy, respectively. The mineral phase content was evaluated by thermogravimetric analysis. The scaffold's porosity, ion release, and in vitro degradation performance were also determined. For cytological experiments, CCK-8 assay, live/dead cell staining, alkaline phosphatase staining, alizarin red S staining, RT-qPCR, and western blotting were used to evaluate the effects of the MSHA/Col scaffold on the proliferation, viability, early osteogenic differentiation activity, late mineralization capacity, and gene and protein expression levels of key osteogenic markers [runt-related transcription factor 2 (Runx2), collagen type Ⅰ (Col-Ⅰ), osteopontin (Opn), and osteocalcin (Ocn)] in mouse embryonic osteoblast precursor cells (MC3T3-E1). Results: HPAA/ACMSP appeared as amorphous spherical nanoparticles under TEM, with energy spectrum analysis showing uniform distribution of carbon, oxygen, calcium, phosphorus, magnesium, and strontium elements. SEM results of MSHA/Col indicated successful complete intrafibrillar mineralization. Elemental analysis showed the mass fractions of magnesium and strontium were 0.72% (matching the magnesium content in natural bone) and 2.89%, respectively. X-ray diffraction revealed characteristic peaks of hydroxyapatite crystals (25.86°, 31°-34°). Infrared spectroscopy results showed characteristic absorption peaks for both collagen and hydroxyapatite. Thermogravimetric analysis indicated a mineral phase content of 78.29% in the material. The scaffold porosity was 91.6% ± 1.1%, close to the level of natural bone tissue. Ion release curves demonstrated sustained release behavior for both magnesium and strontium ions. The in vitro degradation rate matched the ingrowth rate of new bone tissue. Cytological experiments showed that MSHA/Col significantly promoted MC3T3-E1 cell proliferation (130% increase in activity at 72 h, P < 0.001). MSHA/Col exhibited excellent efficacy in promoting osteogenic differentiation, significantly upregulating the expression of osteogenesis-related genes and proteins (Runx2, Col-Ⅰ, Opn, Ocn) (P < 0.01). Conclusion The MSHA/Col scaffold achieves dual biomimicry of natural bone in both composition and structure, and effectively promotes osteogenic differentiation at the genetic and protein levels, breaking through the functional limitations of pure hydroxyapatite mineralized collagen. This provides a new strategy for the development of functional bone repair materials

BACKGROUND:Traditional methods of urinary tract reconstruction are limited by donor scarcity,high complication rates,and suboptimal functional recovery.Tissue engineering strategies offer new directions in this field.Since the urinary tract is mainly composed of muscle tissue,the key is to find suitable seed cells and efficiently induce them to differentiate into smooth muscle cells.Comparative studies on the efficacy of different smooth muscle cell induction regimens are still lacking. OBJECTIVE:To isolate,culture,and identify human urine-derived stem cells,and to compare the effects of two different induction protocols. METHODS:Human urine-derived stem cells were isolated from urine samples of 11 healthy adult volunteers by multiple centrifugations.Surface markers were identified by flow cytometry.The multi-directional differentiation potential of human urine-derived stem cells was verified through osteogenic and adipogenic differentiation.Differentiation was induced by transforming growth factor-β1 or transforming growth factor-β1 combined with platelet derived growth factor for 14 days.Immunofluorescence staining and western blot assay were employed to compare the expression differences of smooth muscle-specific proteins(α-SMA and SM22). RESULTS AND CONCLUSION:(1)Urine-derived stem cells were successfully isolated from the eight urine samples of healthy people.These cells exhibit a"rice grain"-like morphology and possess a robust proliferative capacity.(2)Urine-derived stem cells exhibited high expression of mesenchymal stem cell surface markers(CD73,CD90,and CD44)and extremely low expression of hematopoietic stem cell surface markers(CD34 and CD45).These cells did not express CD19,CD105,and HLA-DR.(3)After osteogenic and adipogenic differentiation,the formation of calcium nodules and lipid droplets was observed,with positive staining results from Alizarin Red S and Oil Red O staining.(4)After 14 days of smooth muscle induction culture,immunofluorescence staining revealed that the smooth muscle differentiation rate of urine-derived stem cells treated with a combination of transforming growth factor-β1 and platelet derived growth factor was significantly higher compared to those treated with transforming growth factor-β1 alone(P<0.005).(5)After 14 days of smooth muscle induction culture,western blot assay further demonstrated that the expression levels of α-SMA and SM22 in the transforming growth factor-β1/platelet derived growth factor group were significantly elevated compared to those in the transforming growth factor-β1 only group(P<0.005).These findings confirm that urine-derived stem cells can be non-invasively isolated using multiple rounds of centrifugation.Compared with transforming growth factor-β1 alone,the combination of transforming growth factor-β1 and platelet derived growth factor can improve the efficiency of inducing urine-derived stem cells to differentiate into smooth muscle cells.

Proteolysis-targeting chimeras(PROTACs)represent a promising class of drugs that can target disease-causing proteins more effectively than traditional small molecule inhibitors can,potentially revolu-tionizing drug discovery and treatment strategies.However,the links between in vitro and in vivo data are poorly understood,hindering a comprehensive understanding of the absorption,distribution,metabolism,and excretion(ADME)of PROTACs.In this work,14C-labeled vepdegestrant(ARV-471),which is currently in phase Ⅲ clinical trials for breast cancer,was synthesized as a model PROTAC to characterize its preclinical ADME properties and simulate its clinical pharmacokinetics(PK)by estab-lishing a physiologically based pharmacokinetics(PBPK)model.For in vitro-in vivo extrapolation(IVIVE),hepatocyte clearance correlated more closely with in vivo rat PK data than liver microsomal clearance did.PBPK models,which were initially developed and validated in rats,accurately simulate ARV-471's PK across fed and fasted states,with parameters within 1.75-fold of the observed values.Human models,informed by in vitro ADME data,closely mirrored postoral dose plasma profiles at 30 mg.Furthermore,no human-specific metabolites were identified in vitro and the metabolic profile of rats could overlap that of humans.This work presents a roadmap for developing future PROTAC medications by elucidating the correlation between in vitro and in vivo characteristics.

Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

Objective:To investigate the impact of tumor origin (ventral pancreatic origin and dorsal pancreatic origin) on prognosis in patients with pancreatic head cancer.Methods:A retrospective analysis was performed on the clinical data of 150 patients with pancreatic head cancer who received surgical treatment at the First Affiliated Hospital of the Naval Medical University from October 2014 to December 2017. Among these patients, 92 were male and 58 were female, aged (61.2±8.8) years. The 150 patients were divided into two groups based on tumor origin: the ventral pancreatic cancer group ( n=72) and the dorsal pancreatic cancer group ( n=78). A comparative analysis of clinical, pathological, and imaging charac-teristics was conducted between the two groups. Univariate and multivariable Cox proportional hazards models were used to analyze the association between pancreatic head cancer origin and overall survival (OS). Results:Patients with pancreatic head carcinoma arising from the ventral and dorsal pancreas accounted for 48%(72/150) and 52%(78/150) of the study cohort, respectively. Pancreatic head carcinoma arising from the dorsal pancreas were more likely to show pathological features of pancreatic parenchymal atrophy [73.1%(57/78) vs. 47.2%(34/72), χ2=10.49, P=0.001] and pancreatitis [44.9%(35/78) vs. 29.2%(21/72), χ2=3.95, P=0.047]. In contrast, patients with pancreatic head carcinoma arising from the ventral pancreas was more frequently associated with contact with the superior mesenteric artery [25.0%(18/72) vs. 1.3%(1/78), χ2=19.04, P<0.001], perineural invasion [100%(72/72) vs. 88.5%(69/78), χ2=8.84, P=0.003], and positive surgical margins [15.3%(11/72) vs. 2.6%(2/78), χ2=7.65, P=0.006], with all differences statistically significant. The ventral pancreatic cancer group demonstrated cumulative survival rates of 33.2% and 0 at 1-year and 2-year postoperative intervals, respectively, while the dorsal pancreatic cancer group exhibited rates of 56.7% and 24.8% at the corresponding timepoints. Comparison of Kaplan-Meier survival curves between the two groups showed a statistically significant difference ( χ2=6.00, P=0.014). Multivariable Cox proportional hazards analysis identified dorsal pancreatic origin pancreatic head cancer as an independent predictor of increased mortality risk compared to ventral origin tumors ( HR=2.75, 95% CI: 1.52-4.98, P=0.001). Conclusion:The embryonic origin of pancreatic head cancer determines its clinical, pathological, and imaging heterogeneity, and pancreatic head cancer arising from the ventral pancreas demonstrates significantly worse prognostic outcomes compared to dorsal pancreatic origin.

Objective:To analyze the incidence and influencing factors of lymphopenia in prostate cancer patients undergoing pelvic radiotherapy.Methods:A retrospective analysis was conducted on 123 prostate cancer patients treated at the Department of Radiation Oncology, Peking University First Hospital, from November 2011 to May 2015. Radiotherapy was administered using conventional fractionated intensity-modulated radiotherapy. Blood routine, including absolute lymphocyte count (ALC), was performed on patients before radiotherapy, weekly during radiotherapy, and at the end of radiotherapy. Severe lymphopenia was defined as an ALC <500 cells/μl. Based on whether the minimum ALC during radiotherapy was lower than 500 cells/μl, the entire cohort and 55 patients (excluding those with undelineated pelvic bone marrow due to radiotherapy planning system issues) with delineated pelvic bone marrow (divided into pelvic bone marrow, iliac bone marrow, and lower pelvic bone marrow) were stratified into a severe lymphopenia group (33 cases and 16 cases, respectively) and a mild lymphopenia group (90 cases and 39 cases, respectively). Differences in clinical factors and dosimetric parameters were compared between the groups using the chi-square test (or Fisher's exact test), t-test, and Wilcoxon rank-sum test. Univariate and multivariate logistic regression analyses were performed to identify the clinical and dosimetric factors influencing severe lymphopenia. Results:All 123 prostate cancer patients experienced lymphopenia during radiotherapy, with a median minimum ALC of 0.6×10 9/L [range: (0.2-2.3)×10 9/L]. Severe lymphopenia occurred in 26.8% (33 cases) of patients. Univariate analysis of the entire cohort showed that pre-radiotherapy baseline ALC, initial neutrophil-to-lymphocyte ratio, prostate-specific antigen value, Gleason score, and pelvic radiotherapy were promoting factors for severe lymphopenia ( P<0.05). Multivariate analysis identified pre-radiotherapy baseline ALC ( OR=0.217, 95% CI: 0.072-0.650, P=0.006) and pelvic radiotherapy ( OR=23.852, 95% CI: 2.834-200.787, P=0.004) as promoting factors for severe lymphopenia. In patients with delineated pelvic bone marrow, univariate analysis showed that pelvic bone marrow V 30 Gy and V 40 Gy, iliac bone marrow V 30 Gy and V 40 Gy, lower pelvic bone marrow V 30 Gy and V 40 Gy were promoting factors for severe lymphopenia during treatment ( P<0.05). Conclusions:Lymphopenia is common in prostate cancer patients undergoing radiotherapy, with a high incidence of severe lymphopenia. Pre-radiotherapy baseline ALC, as well as pelvic, iliac, and lower pelvic bone marrow V 30 Gy and V 40 Gy, are promoting factors for severe lymphopenia during radiotherapy.

Objective:To investigate the role of telomere length in the causal effects of immune-mediated diseases on liver fibrosis.Methods:Genome-wide association study (GWAS) data were extracted from open GWAS (https: //gwas.mrcieu.ac.uk) for a two-sample Mendelian randomization (MR) analysis. Five immune-mediated autoimmune diseases (rheumatoid arthritis, systemic lupus erythematosus, primary biliary cirrhosis, primary biliary cholangitis, and Crohn′s disease) individually and collectively were included as exposure factors, telomere length as a mediator, and liver fibrosis as the outcome. The Wald ratio and inverse variance weighted (IVW) methods were performed to assess causal effects. The MR-Egger intercept test was adopted to evaluate the level of horizontal pleiotropy. Multivariable MR was employed to quantify the proportion of the effect of immune-mediated diseases on liver fibrosis mediated by telomere length. And sensitivity analyses were performed to assess the robustness of the results.Results:The results of IVW analysis revealed that the overall category of immune-mediated diseases, rheumatoid arthritis, systemic lupus erythematosus, primary biliary cirrhosis, primary biliary cholangitis, and Crohn′s disease were causally related to the high risk of liver fibrosis, and the OR were 1.63 (95% confidence intervals (95% CI): 1.33 to 2.10), 1.28 (95% CI: 1.14 to 1.43), 1.34 (95% CI: 1.02 to 1.74), 1.36 (95% CI: 1.27 to 1.47), 1.37 (95% CI: 1.23 to 1.52), and 1.52 (95% CI: 1.15 to 2.01), respectively ( P<0.001, <0.001, =0.032, <0.001, <0.001, =0.003). Horizontal pleiotropy was detected in the association between Crohn′s disease and liver fibrosis (MR-Egger intercept test, P=0.025).The results of multivariable MR indicated that telomere length acted as a mediating factor in the causal relationship between liver fibrosis and the overall category of immune-mediated diseases, rheumatoid arthritis, systemic lupus erythematosus, primary biliary cholangitis ( OR=2.24, 95% CI: 1.41 to 3.56; OR=1.78, 95% CI: 1.03 to 3.06; OR=2.11, 95% CI: 1.31 to 3.40; OR=2.01, 95% CI: 1.06 to 3.80; P<0.001, =0.038, =0.002, =0.032, respectively ). Conclusion:The causal effects of the overall category of immune-mediated diseases, rheumatoid arthritis, systemic lupus erythematosus, and primary biliary cholangitis on liver fibrosis are mediated by telomere length.

Objectives:To investigate the expression of signal-induced proliferation-associated 1 (SIPA1) in colorectal cancer tissues and its relationship with patient prognosis. To explore the effects of SIPA1 on proliferation and migration abilities, as well as the possible molecular mechanisms.Methods:Using The Cancer Genome Atlas (TCGA) database to analyze the differential expression of SIPA1 and conduct survival analysis. Then, plotting receiver operating characteristic curve (ROC) and prognosis calibration curve analysis to assess the predictive capability and accuracy of SIPA1 for patient prognosis. Subsequently, verifying the expression levels of SIPA1 in tumor tissues and adjacent normal tissues using immunohistochemistry (IHC) and western blot (WB) assays(from March 1, 2023, to May 1, 2024, pathological specimens of five colorectal cancer patients were selected from the tissue bank of affiliated hospital of Nantong University. tissue microarrays were constructed using both cancerous tissues and adjacent normal tissues), and exploring the correlation between SIPA1 and clinical pathological parameters. Next, establishing SIPA1 stable knockdown cell lines in colorectal cancer cell lines DLD1 and HCT116, and assessing the biological behavior changes of tumor cells after SIPA1 knockdown through cell proliferation, invasion, and migration experiments. Validating the impact of SIPA1 on colorectal cancer cell proliferation in vivo through subcutaneous xenograft experiments in nude mice. Exploring the potential pro-tumor mechanisms of SIPA1 through pathway enrichment analysis, and confirming these using WB experiments. The proliferation, invasion and migration of tumor cells were detected after adding PI3K activator. Lastly, conducting correlation analysis between SIPA1 and immune checkpoint, as well as the association with immune cells in the tumor microenvironment. Results:Differential analysis showed that mRNA expression of SIPA1 in colorectal cancer tissues was significantly higher than that in adjacent normal tissues ( P＜0.05). Prognostic analysis indicated that patients with high expression of SIPA1 had poor overall survival ( P＜0.001), and the expression level of SIPA1was correlated with lymph node invasion ( P＜0.001) and N stage ( P＜0.05). ROC curve and prognosis calibration curve suggest that SIPA1 can effectively predict five-year survival rate of patients (AUC=0.7), and the predictive performance of the model is relatively accurate ( P＜0.001). WB experiments showed a significant increase in the expression level of SIPA1 protein in colorectal cancer specimens ( P＜0.001). Immunohistochemistry results indicated higher staining scores of SIPA1 in tumor tissues. In vitro experiments demonstrated that SIPA1 knockdown significantly inhibited the proliferation, invasion, and migration capabilities of colorectal cancer cells. In DLD1 and HCT116 cells, the SIPA1-knockdown group exhibited significantly lower absorbance compared to the control group (0.89±0.01 vs. 1.57±0.02 and 0.72±0.01 vs. 1.31±0.03, respectively, both P＜0.001). The SIPA1-knockdown group also demonstrated a reduced number of migrated cells relative to the control group (197.93±16.64 vs. 518.48±29.15 and 171.83±12.49 vs. 446.00±21.81, respectively, both P＜0.001). Furthermore, the cell wound-healing rate was significantly lower in the SIPA1-knockdown group than that in the control group [(0.32±0.01)% vs. (0.61±0.01)% and (0.28±0.01)% vs. (0.75±0.01)%, respectively, both P＜0.001]. In vivo animal experiments suggested that SIPA1 knockdown could inhibit tumor growth [(460.35±57.47) mm3 vs (1 177.55±208.24)mm3, (0.76±0.11)g vs (1.43±0.08)g, P＜0.05]. Pathway enrichment analysis revealed significant enrichment of the receptor tyrosine kinase signaling pathway, and SIPA1 knockdown could inhibit the activation of the phosphatidylinositide 3-kinases (PI3K)/protein kinase B (PKB)/glycogen synthase kinase-3β (GSK3β) signaling pathway. The PI3K activator reversed the inhibitory effect of SIPA1 silencing on tumor cell proliferation, invasion and migration. Correlation analysis indicated that high expression of SIPA1 was associated with immune checkpoints and various immunosuppressive cells (all P＜0.05). Conclusions:SIPA1 is highly expressed in colorectal cancer and associated with poor prognosis. SIPA1 may affect the proliferation and migration abilities of tumor cells by regulating the PI3K/AKT/GSK3β signaling pathway.

Objective:To construct a hierarchical training course system for neonatal nurses based on core competencies, to provide a reference for meeting the training needs of neonatal nurses under the new situation.Methods:Through literature review, questionnaire survey on training needs, and focus group interviews, a preliminary hierarchical training curriculum system for neonatal nurses was developed. Two rounds of Delphi correspondence were conducted with 19 domestic experts to finalize the system.Results:The effective questionnaire recovery rates of the two rounds of expert consultation were 95.00% and 100.00%, and the expert authority coefficient was 0.916, the Kendall harmony coefficient of the first round of expert opinions was 0.351 ( P<0.001), and the Kendall harmony coefficient of the second round of expert opinions was 0.463 ( P<0.001). The hierarchical training course structure and course training content are formed, including N0: 3 first-level items, 9 second-level items, 80 third-level items, N1: 3 first-level items, 9 second-level items, 91 third-level items, N2: 3 first-level items, 9 second-level items, 86 third-level items, N3: 3 first-level items, 10 second-level items, 81 third-level items, N4: 3 first-level items, 10 second-level items, 76 third-level items. Conclusions:The hierarchical training course system for neonatal nurses based on the core competence of nurses is scientific and practical, which can provide a reference for the hierarchical training of neonatal nurses.

Objective To analyze clinical characteristics affecting survival outcomes in gastric adenocarcinoma(GAC)patients with second primary malignancies(SPM)and construct a predictive model with a web-based calculator.Methods Patients diagnosed with GAC between January 2010 and December 2017 in the SEER database(n=24 085)were analyzed,comparing non-SPM(n=22 963)and SPM cohorts(n=1 122).SPM patients were randomized(3:1)into training(n=842)and internal validation cohorts(n=280).Univariate/multivariate Cox regression identified prognostic factors for model construction.Model performance was evaluated via ROC curves,calibration plots,and decision curve analysis(DCA).A web-based calculator was deployed using DynNom(https://kunma697.shinyapps.io/dynnomapp-1/).External validation used 192 SPM patients diagnosed at Yantai Yuhuangding Hospital(2010-2017).Results χ2 tests revealed SPM patients had higher age(56.3%),earlier T-stage(T1:29.2%;T2:10.5%),predominant gastric cardia involvement(43.7%),fewer distant metastases(12.3%),and higher rates of radiotherapy(32.5%)and surgery(77.2%)vs.non-SPM(P<0.05).Cox analyses identified GAC primary site,T-stage,SEER stage,radiotherapy/surgery history,plus SPM grade/stage/treatment history as significant predictors(P<0.05).AUCs in the training cohort were 0.771(95%CI:0.722～0.820),0.839(95%CI:0.796～0.882),and 0.836(95%CI:0.792～0.879)for 1-/3-/5-year survival;internal validation showed 0.751(95%CI:0.700～0.801),0.746(95%CI:0.695～0.797),and 0.772(95%CI:0.723～0.821);external validation yielded 0.713(95%CI:0.648～0.778),0.805(95%CI:0.749～0.861),and 0.851(95%CI:0.801～0.901).Calibration indicated high prediction-actuality concordance;DCA confirmed clinical utility.Conclusion The model and web calculator incorporating GAC/SPM characteristics effectively predict SPM patient prognosis.