Background: Influenza A virus (IAV) is a negative-sense RNA virus of the Orthomyxoviridae family and is the etiological agent of a highly contagious acute respiratory disease that can lead to acute lung injury. Objective: To elucidate the molecular mechanisms of IAV infection, an integrative research approach combining gene expression profiling, multinetwork analysis, and in vivo experimental validations was employed. Methods: First, a series of network-based analyses were performed, including protein-protein interaction network construction, weighted gene co-expression network analysis, and subsequent gene set enrichment analysis, to identify the major underlying mechanisms of IAV infection. Following gene expression analysis, core targets, both direct and indirect regulators, were screened. An IAV (H1N1) strain A/PR/8/34-induced acute lung injury mouse model was constructed for in vivo validations. Batch one included two groups to evaluate findings from the multi-network analysis: Mock (n = 10; 5 males and 5 females) and IAV (n = 10; 5 males and 5 females). Batch two included three groups to assess the role of toll-like receptor 3 (TLR3) in IAV infection: Mock (n = 6; 3 males and 3 females), IAV (n = 6; 3 males and 3 females), and TLR3 inhibitor (n = 6; 3 males and 3 females). Body weight was measured on days 0, 3, and 5 after infection. On day 5, lung tissues were collected to assess viral load and histopathological changes. Key targets were examined using enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining, both in sera and lung tissues. Results: IAV infection was significantly associated with dysregulation of the immune-inflammation system, such as the LTR, nucle-otide-binding oligomerization domain-(NOD) like receptor, retinoic acid-inducible gene I-like receptor, and nuclear factor kappa-B signaling pathways. Gene set enrichment analysis further indicated that the TLR and necroptosis signaling pathways played crucial roles in the progression of IAV infection (TLR signaling pathway normalized enrichment score = 2.3941, P = 1.00 × 10 ⁻¹⁰; necroptosis normalized enrichment score = 1.9421, P = 6.21 × 10 ⁻⁷). Among the core targets, TLR3 and mixed lineage kinase domain-like protein (MLKL) may regulate gene expression at the transcriptional level (all P < 0.05). In vivo validation using an IAV (PR8) infected acute lung injury mouse model demonstrated increased viral load and lung index, alveolar structural damage, and inflammatory cell infiltration. Immunofluorescence staining exhibited large gaps in Lamin B1 staining and breaches in Emerin signals following IAV-PR8 infection. Expression levels of TLR3, p-receptor-interacting serine/threonine-protein kinase 3 (RIPK3)/RIPK3, and p-mixed lineage kinase domain-like protein (MLKL)/MLKL proteins in lung tissues, as well as proinflammatory factors and mediators in sera, were significantly elevated after IAV infection. Moreover, enhanced neutrophil infiltration (myeloperoxidase) and citrullinated histone H3 (a neutrophil extracellular trap-specific marker), both established indicators of neutrophil extracellular trap formation, were observed. Notably, treatment with a TLR3 inhibitor significantly ameliorated IAV-induced acute lung injury by regulating necroptosis-related targets. Conclusion: Our study provides network-based in vivo evidence that TLR3-receptor-interacting serine/threonine-protein kinase 3-MLKL-mediated necroptosis may underlie IAV-induced acute lung injury and could serve as a potential therapeutic target in severe influenza cases.

The underlying cause of low response rates to existing immunotherapies is that tumor cells dominate tumor immune escape through surface antigen deficiency and inducing tumor immunosuppressive microenvironment (TIME). Here, we proposed an in situ tumor cell engineering strategy to disrupt tumor immune escape at the root by restoring tumor cell MHC-I/tumor-specific antigen complex (MHC-I/TSA) expression to promote T-cell recognition and by silencing tumor cell CD55 to increase the ICOSL⁺ B-cell proportion and reverse the TIME. A doxorubicin (DOX) and dual-gene plasmid (MAC pDNA, encoding both MHC-I/ASMTNMELM and CD55-shRNA) coloaded drug delivery system (LCPN@ACD) with tumor targeting and charge/size dual-conversion properties was prepared. LCPN@ACD-induced ICD promoted DC maturation and enhanced T-cell activation and infiltration. LCPN@ACD enabled effective expression of MHC-I/TSA on tumor cells, increasing the ability of tumor cell recognition and killing. LCPN@ACD downregulated tumor cell CD55 expression, increased the proportion of ICOSL⁺ B cells and CTLs, and reversed the TIME, thus greatly improving the efficacy of αPD-1 and CAR-T therapies. The application of this in situ tumor cell engineering strategy eliminated the source of tumor immune escape, providing new ideas for solving the challenges of clinical immunotherapy.

Periodontal bone defects, primarily caused by periodontitis, are highly prevalent in clinical settings and manifest as bone fenestration, dehiscence, or attachment loss, presenting a significant challenge to oral health. In regenerative medicine, harnessing developmental principles for tissue repair offers promising therapeutic potential. Of particular interest is the condensation of progenitor cells, an essential event in organogenesis that has inspired clinically effective cell aggregation approaches in dental regeneration. However, the precise cellular coordination mechanisms during condensation and regeneration remain elusive. Here, taking the tooth as a model organ, we employed single-cell RNA sequencing to dissect the cellular composition and heterogeneity of human dental follicle and dental papilla, revealing a distinct Platelet-derived growth factor receptor alpha (PDGFRA) mesenchymal stem/stromal cell (MSC) population with remarkable odontogenic potential. Interestingly, a reciprocal paracrine interaction between PDGFRA⁺ dental follicle stem cells (DFSCs) and CD31⁺ Endomucin⁺ endothelial cells (ECs) was mediated by Vascular endothelial growth factor A (VEGFA) and Platelet-derived growth factor subunit BB (PDGFBB). This crosstalk not only maintains the functionality of PDGFRA⁺ DFSCs but also drives specialized angiogenesis. In vivo periodontal bone regeneration experiments further reveal that communication between PDGFRA⁺ DFSC aggregates and recipient ECs is essential for effective angiogenic-osteogenic coupling and rapid tissue repair. Collectively, our results unravel the importance of MSC-EC crosstalk mediated by the VEGFA and PDGFBB-PDGFRA reciprocal signaling in orchestrating angiogenesis and osteogenesis. These findings not only establish a framework for deciphering and promoting periodontal bone regeneration in potential clinical applications but also offer insights for future therapeutic strategies in dental or broader regenerative medicine.
Receptor, Platelet-Derived Growth Factor alpha/metabolism* ; Humans ; Neovascularization, Physiologic/physiology* ; Dental Sac/cytology* ; Single-Cell Analysis ; Transcriptome ; Mesenchymal Stem Cells/metabolism* ; Bone Regeneration ; Animals ; Dental Papilla/cytology* ; Periodontium/physiology* ; Stem Cells/metabolism* ; Regeneration ; Angiogenesis

OBJECTIVE: To investigate the predictive value of early lactate/albumin ratio (LAR) combined with quick sequential organ failure assessment (qSOFA) for the 28-day prognosis of patients with sepsis caused by emergency community-acquired pneumonia (CAP). METHODS: The clinical data of patients with sepsis caused by CAP admitted to the department of emergency of Beijing Haidian Hospital from June 2021 to August 2022 were retrospectively analyzed, including gender, age, comorbidities, lactic acid (Lac), serum albumin (Alb), LAR, procalcitonin (PCT) within 1 hour, and 28-day prognosis. Patients were divided into two groups based on 28-day prognosis, and risk factors affecting patients' prognosis were analyzed using univariate and multivariate Cox regression methods. Patients were divided into two groups according to the best cut-off value of LAR, and Kaplan-Meier survival curves were used to analyze the 28-day cumulative survival of patients in each group. Time-dependent receiver operator characteristic curve (ROC curve) were plotted to analyze the predictive value of sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II (APACHE II), and qSOFA+LAR score on the prognosis of patients with sepsis caused by CAP at 28 days. The area under the curve (AUC) was calculated and compared. RESULTS: A total of 116 patients with sepsis caused by CAP were included, of whom 80 survived at 28 days and 36 died, 28-day mortality of 31.0%. There were no statistically significant differences in age, gender, comorbidities, pH, platelet count, and fibrinogen between the survival and death groups, and there were significantly differences in blood urea nitrogen (BUN), white blood cell count (WBC), hemoglobin, Lac, Alb, PCT, D-dimer, LAR, as well as qSOFA score, SOFA score, and APACHE II score. Univariate Cox regression analyses showed that BUN, WBC, pH, Lac, Alb, PCT, LAR, qSOFA score, SOFA score, and APACHE II score were associated with mortality outcome. Multifactorial Cox regression analysis of the above variables showed that BUN, WBC, PCT, and APACHE II score were independent risk factors for 28-day death in the emergency department in patients with sepsis caused by CAP [hazard ratio (HR) were 1.081, 0.892, 1.034, and 1.135, respectively, all P < 0.05]. The best cut-off value of early LAR for predicting the 28-day prognosis of sepsis patients was 0.088, the Kaplan-Meier survival curve showed that the 28-day cumulative survival rate of sepsis patients in the LAR ≤ 0.088 group was significantly higher than that in the LAR > 0.088 group [82.9% (63/76) vs. 42.5% (17/40), Log-Rank test: χ² = 22.51, P < 0.001]. The qSOFA+LAR score was calculated based on the LAR cut-off value and qSOFA score, and ROC curve analysis showed that the AUCs of SOFA score, APACHE II score, and qSOFA+LAR score for predicting 28-day death of patients with sepsis caued by CAP were 0.741, 0.774, and 0.709, respectively, with the AUC of qSOFA+LAR score slightly lower than those of SOFA score and APACHE II score, but there were no significantly differences. When the best cut-off value of qSOFA+LAR score was 1, the sensitivity was 63.9% and the specificity was 80.0%. CONCLUSION The qSOFA+LAR score has predictive value for the 28-day prognosis of patients with sepsis caused by CAP in the emergency department, its predictive value is comparable to the SOFA score and the APACHE II score, and it is more convenient for early use in the emergency department.
Emergency Service, Hospital/statistics & numerical data* ; Sepsis/etiology* ; Prognosis ; Community-Acquired Pneumonia/mortality* ; Organ Dysfunction Scores ; Predictive Value of Tests ; Lactic Acid/blood* ; Serum Albumin, Human/analysis* ; Biomarkers/blood* ; Retrospective Studies ; Hospital Mortality ; Kaplan-Meier Estimate ; APACHE ; Procalcitonin/blood* ; ROC Curve ; Area Under Curve ; Humans

The incidence of cutaneous squamous cell carcinoma (CSCC) is increasing rapidly. This study discussed the effects of artesunate (ART) on CSCC cell proliferation and migration via the solute carrier family 7 member 11 (SLC7A11)-glutathione peroxidase 4 (GPX4) pathway. MTT assessed cell viability and analyzed the IC50 value (69.26 μM). Accordingly, human CSCC cells (A431) were cultured in vitro, and treated with 70 μM ART, Ferrostatin-1, oe-SLC7A11, and C646, with cell biological behavior assessed.The potential targets of ART were predicted. p53 acetylation and protein stability and ART-p300 binding were examined. Thymusless nude mice were subcutaneously inoculated with A431 cells, and treated with ART and C646. ART-treated A431 cells showed weakened proliferation, migration, lactate dehydrogenase levels, oxidized glutathione/glutathione ratio, reactive oxygen species, malondialdehyde, and active Fe2+ levels, which could be reversed by suppressing ferroptosis. ART promoted p53 acetylation and protein stability and curbed the SLC7A11-GPX4 pathway by targeting p300. ART stimulated ferroptosis via the SLC7A11-GPX4 pathway, thereby repressing CSCC cell proliferation and migration, which were counteracted by p300 inhibition. ART regulated the SLC7A11-GPX4 pathway by up-regulating the p300-p53 axis, thereby hindering tumor growth in vivo. Collectively, ART inhibits CSCC proliferation and migration by modulating the SLC7A11-GPX4 pathway through the p300-p53 axis.

Objective To analyze the influencing factors of tumor-specific mortality in patients with advanced endometrial carcinoma and construct a risk prediction model.Methods A total of 150 patients with advanced endometrial carcinoma admitted to the Fourth Clinical College of Zhejiang Chinese Medical University,Hangzhou First People's Hospital from January 2020 to January 2023 were selected as subjects.Cox regression was employed to analyze factors influencing mortality in advanced endometrial carcinoma.A Logistic regression model was constructed,with receiver operating characteristic(ROC)curve used to evaluate model discrimination,calibration curve for precision assessment,and decision curve for net benefit evaluation.Results Overall 2-year survival rate of 150 patients was 58.67％.The univariate analysis demonstrated that histological grade,lymph node metastasis,tumor maximum diameter,and preoperative carcinoembryonic antigen 125(CA125)levels were all significant risk factors for mortality in advanced endometrial carcinoma(P＜0.05).Multivariate analysis confirmed these parameters as independent prognostic indicators(P＜0.05).A Logistic regression model established using multivariate Cox regression yielded a C index of 0.873(95％CI:0.792-0.951).ROC curve analysis revealed the model's area under the curve for predicting mortality risk factors in advanced endometrial carcinoma was 0.916(95％CI:0.872-0.960).Conclusion The linear chart prediction model constructed based on histological grading,lymph node metastasis,maximum tumor diameter and preoperative CA125 level in this study can effectively predict the death of advanced endometrial carcinoma.

Objective:To compare the application effects of the solution-focused nursing model (SFNM) and conventional care in the perioperative care for patients with pelvic fractures.Methods:A retrospective cohort study was conducted to analyze the clinical data of 62 patients with pelvic fractures admitted to the Third Affiliated Hospital of Southern Medical University between February 2023 and July 2023, including 41 males and 21 females, aged 26-63 years [(44.1±15.7)years]. All the patients underwent open or closed reduction and internal fixation. According to different perioperative nursing intervention, 31 patients were treated with conventional care (conventional care group) and 31 with SFNM intervention based on conventional care (SFNM group). A comparative analysis was conducted between the two groups regarding general self-efficacy scale (GSES) score, Barthel index (BI) score, self-rating anxiety scale (SAS) score, and self-rating depression scale (SDS) score preoperatively, at discharge, and at 6 months postoperatively. The excellent-to-good rate of Majeed pelvic function score and nursing satisfaction at the final follow-up and perioperative complication incidence were compared between the two group.Results:All the patients were followed up for 12-15 months [(13.5±0.9)months]. No significant differences were observed between the two groups in GSES, BI, SAS or SDS scores ( P>0.05). At discharge, the GSES and BI scores in the SFNM group were (29.0±3.8)points and (37.4±8.7)points, significantly higher than (20.9±3.0)points and (31.5±12.1)points in the conventional care group ( P<0.05); the SAS and SDS scores were (41.9±5.1)points and (40.6±4.9)points in the SFNM group, significantly lower than (53.7±9.1)points and (42.9±7.5)points in the conventional care group ( P<0.01). At 6 months postoperatively, the SFNM group achieved GSES and BI scores of (34.0±4.0)points and (40.3±9.0)points, significantly higher than (25.2±3.7)points and (35.7±10.5)points in the conventional care group ( P<0.05); the SAS and SDS scores were (45.8±5.0)points and (38.2±3.0)points in the SFNM group, significantly lower than (50.0±8.5)points and (40.7±6.5)points in the conventional care group ( P<0.01). At the final follow-up, the excellent-to-good rate of Majeed pelvic function score was 90% (28/31) in the SFNM group and 87% (27/31) in the conventional care group ( P>0.05). At the final follow-up, nursing satisfaction rate was 100% (31/31) in the SFNM group, significantly higher than 77% (24/31) in the conventional care group ( P<0.05). The perioperative complication rate was 6% (2/31) in the SFNM group, significantly lower than 38% (12/31) in the conventional care group ( P<0.05). Conclusion:Compared with conventional care, perioperative intervention with SFNM for patients with pelvic fractures can enhance self-efficacy and daily living self-care ability, reduce negative emotions such as anxiety and depression, improve nursing satisfaction, and lower the incidence of complications, making it worthy of clinical promotion.

Objective:To investigate the correlation between insulin resistance surrogate indicators and early-stage kidney injury in type 2 diabetes mellitus(T2DM).Methods:A total of 918 T2DM patients hospitalized in the Endocrinology Department of Xinhua Hospital from January 2018 to December 2020 were selected, including 313 patients with early-stage kidney injury and 605 without. Differences in insulin resistance surrogate indicators, including triglyceride to high-density lipoprotein cholesterol ratio(TG/HDL-C), triglyceride glucose(TyG) index, and triglyceride glucose-body mass index(TyG-BMI), were compared between the two groups. Factors associated with early-stage kidney injury in T2DM were analyzed, and the impact of TG/HDL-C, TyG index, and TyG-BMI on early-stage kidney injury in T2DM were explored.Results:Compared with T2DM patients without early-stage kidney injury, those with early-stage kidney injury exhibited significantly elevated levels of TG/HDL-C, TyG index, and TyG-BMI( P< 0.001). TG/HDL-C, TyG index, TyG-BMI, age, duration of diabetes, systolic blood pressure, fasting insulin, and HbA 1C were identified as independent risk factors for early-stage kidney injury in T2DM. Compared to the Q1 quartile, the risk in the Q4 quartile was 3.168 times(95% CI 1.993-5.036) for TG/HDL-C, 2.714 times(95% CI 1.710-4.306) for TyG index, and 2.893 times(95% CI 1.820-5.598) for TyG-BMI. Conclusion:Insulin resistance surrogate indicators TG/HDL-C, TyG index, and TyG-BMI are significantly elevated in T2DM patients with early-stage kidney injury, serving as independent risk factors for early-stage renal impairment in T2DM.

Objective To analyze the influencing factors of the success of clinical pregnancy in secondary infertility patients undergoing in vitro fertilization-embryo transfer(IVF-ET)and construct a nomogram prediction model.Methods A retrospective analysis was conducted on the clinical data of 235 patients with secondary infertility who underwent IVF-ET at Urumqi Maternal and Child Health Hospital from January 2020 to December 2023.They were divided into successful pregnancy group(n=109)and failed pregnancy group(n=1 26)based on whether clinical pregnancy was successful.The general information,ovulation induction data and embryo data of two groups of patients were compared.Multivariate Logistic regression analysis was used to screen out statistically significant indicators,and based on this,a nomogram prediction model was constructed.The receiver operating characteristic curve,calibration curve and decision analysis curve were drawn to verify the discrimination,accuracy and clinical practicability of the model.Results The results of multivariate Logistic regression analysis showed that the female's age,overweight and obesity were all risk factors for clinical pregnancy failure,while anti-Müllerian hormone(AMH)and the total amount of gonadotropins(Gn)were protective factor for clinical pregnancy outcomes.On this basis,a nomogram prediction model was successfully constructed,which has a medium degree of discrimination,good accuracy and clinical practicability.Conclusion For secondary infertility patients undergoing IVF-ET,the female's age,overweight and obesity,AMH,and the total amount of Gn have certain influences on clinical pregnancy.The clinical pregnancy outcome can be predicted through the constructed nomogram prediction model.

Objective To analyze the focus and shortcomings of provincial-level digitalization policies for Traditional Chinese Medicine(TCM),and to provide references for improving relevant policies.Methods A three-dimensional analytical framework—comprising"digitalization policy coverage-economic level-TCM development level"was constructed to quantitatively analyze provincial TCM digitalization policy documents issued over the past five years.Results A total of 750 policy items were extracted.Among them,digital applications accounted for the largest proportion(58.13%),while digital governance(26.53%)and digital infrastructure(15.33%)were relatively less emphasized.Two-dimensional analysis revealed that 48.4%of provinces had both low economic levels and low digital policy coverage,while 45.2%had both low TCM development levels and low policy coverage.Multiple linear regression result showed a positive association between digitalization policies coverage and TCM development level,with no significant correlation to economic level.Conclusion Most provincial TCM digitalization policies prioritize application while neglecting governance and infrastructure.There is a need to strengthen talent development and standard system construction,The extent of policy coverage is closely related to the level of TCM development,indicating the need to enhance top-level policy design,Provincial policies vary in focus and can be categorized into three types:industry-driven,technology-driven,and demand-driven.