Objective To explore the impact of number of positive regional lymph nodes (nPRLN) in N1 stage on the prognosis of non-small cell lung cancer (NSCLC) patients. Methods Patients with TxN1M0 stage NSCLC who underwent lobectomy and mediastinal lymph node dissection from 2010 to 2015 were screened from SEER database (17 Regs, 2022nov sub). The optimal cutoff value of nPRLN was determined using X-tile software, and patients were divided into 2 groups according to the cutoff value: a nPRLN≤optimal cutoff group and a nPRLN>optimal cutoff group. The influence of confounding factors was minimized by propensity score matching (PSM) at a ratio of 1 : 1. Kaplan-Meier curves and Cox proportional hazards models were used to evaluate overall survival (OS) and lung cancer-specific survival (LCSS) of patients. Results A total of 1316 patients with TxN1M0 stage NSCLC were included, including 662 males and 654 females, with a median age of 67 (60, 73) years. The optimal cutoff value of nPRLN was 3, with 1165 patients in the nPRLN≤3 group and 151 patients in the nPRLN>3 group. After PSM, there were 138 patients in each group. Regardless of before or after PSM, OS and LCSS of patients in the nPRLN≤3 group were superior to those in the nPRLN>3 group (P<0.001). N1 stage nPRLN>3 was an independent prognostic risk factor for OS [HR=1.52, 95%CI (1.22, 1.89), P<0.001] and LCSS [HR=1.72, 95%CI (1.36, 2.18), P<0.001]. Conclusion N1 stage nPRLN>3 is an independent prognostic risk factor for NSCLC patients in TxN1M0 stage, which may provide new evidence for future revision of TNM staging N1 stage subclassification.

ObjectiveTo explore the mechanisms of Salviae Miltiorrhizae Radix et Rhizoma in treating metabolic hypertension induced by a high-sugar and high-fat diet in rats based on network pharmacology， proteomics， and animal experiments. MethodsThirty male SD rats were randomized into the control， model， positive drug （tetrandrine， Tet， 50 mg·kg^-1·d^-1）， low-dose Salviae Miltiorrhizae Radix et Rhizoma （DS-L， 45×10⁴ mg·kg^-1·d^-1）， and high-dose Salviae Miltiorrhizae Radix et Rhizoma （DS-H， 90×10⁴ mg·kg^-1·d^-1） groups. Except for the control group， each group was fed a high-fat and high-sugar diet for 8 weeks for the modeling of metabolic hypertension. Following successful modeling， drug interventions were conducted through gavage for 4 weeks. Blood pressure and lipid indicators were monitored， and cardiac function was assessed via echocardiography. Samples from the thoracic aorta and cardiac tissue were collected for histopathological examination. Network pharmacology analysis identified key active components， potential targets， and mechanisms of Salviae Miltiorrhizae Radix et Rhizoma in treating hypertension. Proteomics technology was employed to analyze the differential proteins and major pathway targets to synergistically elucidate the antihypertensive mechanism of Salviae Miltiorrhizae Radix et Rhizoma. Ca²⁺ concentrations in the thoracic aorta and cardiac tissue were measured. The protein levels of transient receptor potential cation channel （TRPC）3， TRPC6， NADPH oxidase （NOX）2， and NOX4 were quantified via Western blotting. The levels of oxidative stress markers and inflammatory factors， including superoxide dismutase （SOD）， malondialdehyde （MDA）， tumor necrosis factor-α （TNF-α）， and interleukin-1β （IL-1β）， were determined by enzyme-linked immunosorbent assay （ELISA）. Molecular docking analysis was performed for the main components of Salviae Miltiorrhizae Radix et Rhizoma with TRPC3， TRPC6， NOX2， and NOX4. ResultsThe experimental results indicated that compared with the control group， the model group exhibited abnormally elevated blood pressure and increased lipid levels （P<0.01）. Compared with the model group， the DS-L group exhibited reduced systolic blood pressure （SBP）， diastolic blood pressure （DBP）， and mean arterial pressure （MAP） （P<0.05）， decreased serum levels of triglycerides （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） （P<0.05）， and increased level of high-density lipoprotein cholesterol （HDL-C） （P<0.01）. The DS-H and Tet groups showed more significant effects （P<0.01）. Moreover， the interventions attenuated vascular wall thickening， myocardial cell injury， and collagen and lipid deposition. Network pharmacology and proteomics prediction results indicated that the core targets of Salviae Miltiorrhizae Radix et Rhizoma in treating hypertension were TRPC3， TRPC6， NOX2， and NOX4， and the core pathways included calcium signaling， cyclic guanosine monophosphate （cGMP）/cGMP-dependent protein kinase （PKG） signaling， and atherosclerosis-related pathways. The molecular mechanism experiment results indicated that compared with the control group， the model group exhibited significantly elevated tissue Ca²⁺ concentrations， exacerbated oxidative stress and inflammatory responses， and upregulated protein levels of TRPC3， TRPC6， NOX2， and NOX4 in the thoracic aorta and myocardial tissue （P<0.01）. Compared with the model group， DS-L reduced the free Ca²⁺ concentration， lowered the levels of IL-1β， TNF-α， SOD， and MDA （P<0.05）， and downregulated the protein levels of TRPC3， TRPC6， NOX2， and NOX4 in the thoracic aorta and myocardial tissue （P<0.05）. DS-H and Tet exhibited more significant effects （P<0.01）. Meanwhile， the main components of Salviae Miltiorrhizae Radix et Rhizoma had strong binding affinity with the core targets of hypertension. ConclusionSalviae Miltiorrhizae Radix et Rhizoma may ameliorate oxidative stress and mitigate inflammatory responses by regulating the TRPC3/6/NOX2/4 signaling pathway， thereby alleviating abnormal blood pressure abnormality and myocardial injury in hypertensive rats.

Objective: To develop and compare multiple machine learning models for identifying high-risk college students exhibiting phubbing behavior and to determine key predictive factors, so as to provide evidence for precise screening and early intervention strategies. Methods: In December 2025, 1 828 undergraduate students, selected from three universities in Wuhan by using convenience sampling method, were surveyed via online qustionnaire for sociodemographic characteristics, phubbing behavior, family cohesion index, mature happiness, fear of negative evaluation, multidimensional state boredom, and psychological vulnerability. Four machine learning algorithms, including multilayer perceptron (MLP), extreme gradient booting (XGBoost), K-nearest neighbors (KNN), and gradient boosting decision tree (GBDT), were applied. The dataset was randomly split into a training set and a test set at a ratio of 7∶3. Model performance was evaluated using accuracy, recall, F1-score, and area under the receiver operating characteristic curve (AUC). The best performing model was further interpreted using shapley additive explanation (SHAP) analysis to assess feature importance. Results: In the training set,955 participants were classified as having low level phubbing behavior, and 325 participants were classified as having high level phubbing behavior. Significant differences were observed in psychological vulnerability, multidimensional state boredom, family cohesion index, and mature happiness between groups ( Z =-10.29, -11.72, -8.17, -7.83, all P <0.05). Significant differences were also found in the detection rate of high level phubbing behavior according to family residence, family status, left behind experience,interpersonal relationships,exercise frequency,physical flexibility,and sleep status ( χ 2=12.22, 38.93, 16.90, 44.64, 58.17, 82.14, 37.89, all P <0.05). Among the four machine learning models (MLP, KNN, GBDT, XGBoost),all showed good discrimination ability, with XGBoost performing best (accuracy 79%, recall 71%, F1-score=0.70, AUC=0.78), while GBDT achieved the highest precision (78%). Feature importance analysis showed that multidimensional state boredom was the most important predictor of phubbing behavior, followed by psychological vulnerability, family cohesion, mature happiness, and fear of negative evaluation. SHAP analysis indicated that multidimensional state boredom, psychological vulnerability, and fear of negative evaluation had positive risk effects, while family cohesion and hedonic well being had protective effects for high risk of phubbing behavior. Conclusions Multidimensional state boredom is the core predictor of phubbing behavior among college students. The XGBoost model demonstrates good predictive performance and can provide a reference for identifying high risk individuals and implementing targeted interventions.

Tailored lipid nanoparticles (LNPs)-mediated small interfering RNA (siRNA) nanomedicines show promise in treating liver disease, such as acute liver injury (ALI) and non-alcoholic steatohepatitis (NASH). However, constructing LNPs that address biosafety concerns, ensure efficient delivery, and target specific hepatic subcellular fractions has been challenging. To evade above obstacles, we develop three novel self-degradable "gemini-like" ionizable lipids (SS-MA, SS-DC, SS-MH) by incorporating disulfide bonds and modifying the length of ester bond and tertiary amino head. Our findings reveal that the disulfide-bond-bridged LNPs exhibit reduction-responsive drug release, improving both biosafety and siRNA delivery efficiency. Furthermore, the distance of ester bond and tertiary amino head significantly influences the LNPs' pK _a, thereby affecting endosomal escape, hemolytic efficiency, absorption capacity of ApoE, uptake efficiency of hepatocytes and liver accumulation. We also develop the modified-mannose LNPs (M-LNP) to target liver macrophages specifically. The optimized M-MH_LNP@TNFα exhibits potential in preventing ALI by decreasing tumor necrosis factor α (TNFα) levels in the macrophages, while MH_LNP@DGAT2 could treat NASH by selectively degrading diacylglycerol O-acyltransferase 2 (DGAT2) in the hepatocytes. Our findings provide new insights into developing novel highly effective and low-toxic "gemini-like" ionizable lipids for constructing LNPs, potentially achieving more effective treatment for hepatic diseases.

Bacterial biofilms can make traditional antibiotics impenetrable and even promote the development of antibiotic-resistant strains. Therefore, non-antibiotic strategies to effectively penetrate and eradicate the formed biofilms are urgently needed. Here, we demonstrate the development of self-propelled biohybrid microrobots that can enhance the degradation and penetration effects for Pseudomonas aeruginosa biofilms in minimally invasive strategy. The biohybrid microrobots (CR@Alg) are constructed by surface modification of Chlamydomonas reinhardtii (CR) microalgae with alginate lyase (Alg) via biological orthogonal reaction. By degrading the biofilm components, the number of CR@Alg microrobots with fast-moving capability penetrating the biofilm increases by around 2.4-fold compared to that of microalgae. Massive reactive oxygen species are subsequently generated under laser irradiation due to the presence of chlorophyll, inherent photosensitizers of microalgae, thus triggering photodynamic therapy (PDT) to combat bacteria. Our algae-based microrobots with superior biocompatibility eliminate biofilm-infections efficiently and tend to suppress the inflammatory response in vivo, showing huge promise for the active treatment of biofilm-associated infections.

Objective To investigate the value of cranial CT cisternal grading combined with D-dimer(D-D)and Glasgow Coma Scale(GCS)score in predicting the short-term postoperative prog-nosis of patients with severe traumatic brain injury.Methods A total of 165 patients with severe trau-matic brain injury who were treated in the hospital from January 2019 to May 2024 were selected as study subjects,all underwent craniotomy surgery.Postoperative follow-up was conducted for 3 months to analyze the differences in clinical data and preoperative indicators such as cranial CT cisternal grad-ing,D-D levels,and GCS scores between patients with poor and good prognosis.The value of cranial CT cisternal grading,D-D levels,and GCS scores in predicting short-term postoperative poor prognosis in patients with severe traumatic brain injury was also analyzed.Results Compared with patients with good prognosis,patients with poor prognosis had higher proportion of age,cranial CT cisternal grading of Ⅰ to Ⅱ,D-D levels,and GCS scores＜6(P＜0.05).There were no statistically significant differences in C-reactive protein,prothrombin time,activated partial thromboplastin time,international normalized ratio,total cholesterol,triglycerides,high-density lipoprotein cholesterol,and low-density lipoprotein cholesterol levels between patients with poor and good prognosis(P＞0.05).Cranial CT cisternal grading,D-D levels,and GCS scores were influencing factors for short-term postoperative poor prognosis in patients with severe traumatic brain injury(P＜0.05).The area under the curve for poor prognosis by three indicators in combination was 0.941(95％CI,0.906 to 0.975),which was higher than the area under the curve for the individual predictions of cranial CT cisternal grad-ing,D-D levels,and GCS scores(P＜0.05).Conclusion The influencing factors for short-term postoperative prognosis in patients with severe traumatic brain injury include cranial CT cisternal grading,D-D levels,and GCS scores.The model based on these three indicators has certain appli-cation value in predicting patient prognosis.

Aim To investigate the predictive value of the Murray law-based quantitative flow ratio(μQFR)after target vessel pretreatment for vascular-related adverse events in patients with de novo coronary lesions treated with drug-coated balloon.Methods This retrospective study included 223 lesions from 223 patients who underwent drug-coated balloon-only strategy and completed 2-year clinical follow-up.Coronary angiographic images of target vessels pre-procedure,post-balloon and post-procedure were collected,and analyzed using a novel Murray's law-based algorithm.The μQFR analysis of each target vessel included not only the μQFR value of the target vessel,but also the length of the target vessel,the degree of vessel diameter stenosis,the reference lumen diameter,the minimum lumen diameter and blood flow velocity.The primary endpoint was defined as the postoperative vessel-oriented composite endpoint(VOCE).Results During the2-year clinical follow-up period,a total of 25 patients(11.2%)experienced VOCE events.Com-pared with the control group,patients with VOCE events after pretreatment showed a decrease in μQFR(P<0.001).Multivariate Logistic analysis showed that a lower target vessel μQFR after pretreatment(OR=0.931,95%CI:0.894～0.969,P<0.001)was an independent predictor of VOCE events.ROC curve analysis showed that the cut-off value for predicting 2-year VOCE events using preprocessed μQFR was 0.83(95%CI:0.727～0.840),with a sensitivity of 72.7%and a specificity of 84.0%(AUC=0.773,95%CI:0.676～0.870,P<0.001).Survival analysis showed that compared with patients with μQFR>0.83,patients with μQFR≤0.83 had a significantly higher incidence of VOCE events at 1 and 2 years,increasing to 3.909 times(16.9%vs.4.6%,HR=3.909,95%CI:1.539～9.930,P=0.004)and 2.867 times(19.7%vs.7.2%,HR=2.867,95%CI:1.301～6.316,P=0.009).After adjusting for potential con-founds,patients with pretreated μQFR≤0.83 had a 2.567 times in 2-year incidence of VOCE events(HR=2.567,95%CI:1.151～5.727,P=0.021)and a 3.712 times in 1-year incidence of VOCE events(HR=3.712,95%CI:1.478～9.810,P=0.006)compared to patients with good pretreatment.Conclusions For patients with in situ coronary artery disease,a lower μQFR after pretreatment increases the risk of postoperative adverse clinical events.μQFR≤0.83 may be used to evaluate the effectiveness of lesion pretreatment.

To explore the application effect of host restriction factors(HRFs)in the development of antiviral gene drugs,this study based on the"common pathway of viral infection"and"host innate immunity HRFs",the genes of three antiviral HRFs,namely cholesterol-25-hydroxylase(CH25H),interferon-induced transmembrane protein(IFITM3)and interferon-stimulated gene 15(ISG15)were fused and expressed using pCK vectors to construct antiviral gene drugs.The fusion expression gene sequence CH25H-IFITM3-ISG15(C Ⅱ)was constructed by linking the gene cod-ing sequences of these three HRFs through the cleavage peptide coding sequence.Subsequently,the C Ⅱ sequence was amplified by PCR,ligated to the pCK expression vector,and the recombinant plasmid was transformed,identified,and extracted to obtain a candidate biodrug based on the DNA expression system,which was named pCK-CⅡ.Then,the recombinant plasmid was transfected in-to HEK 293T cells,and the expression of three antiviral proteins was successfully detected by Western blot.To clarify the antiviral effect of pCK-C Ⅱ at the cellular level,pCK-C Ⅱ was trans-fected into HEK 293 cells and BHK-21 cells,respectively.Twenty-four hours later,the BHK-21 cells were infected with vesicular stomatitis virus expressing green fluorescent protein(VSV-GFP),12 h later,the cells were observed under a fluorescence microscope and detected by flow cy-tometry;HEK 293 cells were inoculated with H3N2 subtype influenza virus,and the expression of H3N2 subtype influenza virus nuclear proteins was detected after 12 h using Western blot.The re-sults showed that transient transfection of pCK-C Ⅱ plasmid could significantly reduce the fluores-cence level of cells and the expression of nuclear protein of H3N2 subtype influenza virus in infec-ted cells.These results indicated that pCK-C Ⅱ had an inhibitory effect on the infection of VSV-GFP and H3N2 subtypes of influenza viruses after transient transfection of cells.

OBJECTIVE To comprehensively evaluate the efficacy， safety and cost-effectiveness of insulin icodec in treating type 2 diabetes mellitus （T2DM）， providing evidence-based guidance for new drug selection in hospital and clinical medication decision-making. METHODS PubMed， Cochrane Library， Embase， CNKI， Wanfang， VIP and foreign health technology assessment （HTA） websites were searched by using rapid health technology assessment from inception to 15 July 2025 for systematic reviews/meta-analyses， pharmacoeconomic studies， and HTA reports on insulin icodec in the treatment of T2DM. After data extraction and quality assessment， the findings of the included studies were analyzed descriptively. RESULTS Ten systematic reviews/meta-analyses and three pharmacoeconomic studies were included. Among them， 4 systematic reviews/meta-analyses were of high quality； the overall quality of the 3 pharmacoeconomic studies was relatively good. Regarding efficacy， insulin icodec was superior to once-daily basal insulin in reducing glycated hemoglobin （HbA1c） and in achieving the target of HbA1c＜7% （P＜0.05）. No significant differences were observed between icodec insulin and comparators in lowering fasting plasma glucose （P＞0.05）. For safety， insulin icodec did not increase the incidence of any adverse events （AEs）， serious AEs， clinically significant hypoglycemia （random glucose＜3 mmol/L）， injection-site reactions， or allergic reactions， compared with once-daily basal insulin overall （P＞ 0.05）； however， insulin icodec was associated with a significant increase in body weight （P＜0.05）. Domestic economic evaluations indicated that insulin icodec was more cost-effective than insulin glargine and insulin degludec when its annual costs were in the range of 784.90-1 145.96 and 597.66-736.34 US dollars， respectively. CONCLUSIONS Insulin icodec demonstrates favorable efficacy and safety profiles in the treatment of T2DM； however， attention should be paid to the risk of weight gain. Under China’s healthcare system， insulin icodec demonstrates greater economic value only when the patient’s weekly required basal insulin dose falls within a specific range，and clinical practice requires individualization.

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*