The spine is the most common site of skeletal metastasis in lung cancer, which frequently leads to severe complications such as pathological fracture and neurological compromise and is associated with poor prognosis. The development and progression of spinal metastasis from lung cancer are linked to the unique local microenvironment and tumor microenvironment (TME) of the vertebral column. During metastatic evolution, the dense vascular network of the spine and a plethora of signaling molecules, together with the complex cellular constituents and their intricate interactions within the TME, all cooperate to facilitate the tumor invasion and colonization of the vertebral compartment. Mechanistic studies delineating the role of the TME in spinal metastasis from lung cancer have markedly expanded, fostering the emergence of innovative therapeutic strategies—including nanomedicines, sono-photodynamic therapy, gene therapy, and combination regimens. These strategies demonstrate remarkably potential for clinical translation and offer new directions for the precision management of spinal metastasis from lung cancer.

Objective To describe the significance of the pretreatment inflammatory indicators in predicting the prognosis of patients with esophageal squamous cell carcinoma (ESCC) after undergoing radical radiotherapy. Methods The data of 246 ESCC patients who underwent radical radiotherapy were retrospectively collected. Receiver operating characteristic (ROC) curves were drawn to determine the optimal cutoff values for platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and systemic immune-inflammation index (SII). The Kaplan-Meier method was used for survival analysis. We conducted univariate and multivariate analyses by using the Cox proportional risk regression model. Software R (version 4.2.0) was used to create the nomogram of prognostic factors. Results The results of the ROC curve analysis showed that the optimal cutoff values of PLR, NLR, and SII were 146.06, 2.67, and 493.97, respectively. The overall response rates were 77.6% and 64.5% in the low and high NLR groups, respectively (P<0.05). The results of the Kaplan-Meier survival analysis revealed that the prognosis of patients in the low PLR, NLR, and SII group was better than that of patients in the high PLR, NLR, and SII group (all P<0.05). The results of the multivariate Cox regression analysis showed that gender, treatment modalities, T stage, and NLR were independent factors affecting the overall survival (OS). In addition, T stage and NLR were independent factors affecting the progression-free survival (PFS) (all P<0.05). The nomogram models of OS and PFS prediction were established based on multivariate analysis. The C-index values were 0.703 and 0.668. The calibration curves showed excellent consistency between the predicted and observed OS and PFS. Conclusion The pretreatment values of PLR, NLR, and SII are correlated with the prognosis of patients with ESCC who underwent radical radiotherapy. Moreover, NLR is an independent factor affecting the OS and PFS of ESCC patients. The NLR-based nomogram model has a good predictive ability.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

The study was aimed at identifying the diversity of tick species in selected areas of Qinghai,to analyze the genetic differentiation characteristics of tick-borne spotted fever group rickettsiae(SFGR),and to provide the theoretical basis for SFGR prevention and control in the region.The 16S rRNA gene was used for molecular biological identification of 446 collected tick samples,and the infection characteristics of SFGR in tick samples were determined according to the SFGR outer membrane protein A(ompA)gene.Haplotype analysis,phylogenetic tree construction,and estimation of differentiation times for SFGR were conducted in DNASP v6,IQ-tree v2.2.0,and BEAST v2.7.4 software.The obtained 446 tick samples belonged to three categories:(1)Haemaphy-salis spp.,including Haemaphysalis qinghaiensis(n=192)and H.danieli(n=37);(2)Dermacentor spp.,including Dermacentor ever-estianus(n=121),D.nuttalli(n=55),and D.silvarum(n=36);and(3)Hyalomma marginatum(n=5).Rickettsia raoultii was de-tected in D.everestianus,D.silvarum,D.nuttalli,H.qinghaiensis,and H.danieli,with infection rates of 95.9%,80.6%,69.1%,4.1%,and 2.7%,respectively.R.sibirica subsp.sibirica BJ-90 was found only in D.silvarum and D.nuttalli,with infection rates of 5.6%and 1.8%,respectively.The Candidatus R.gannanii F107 was found in H.danieli and H.qinghaiensis,with infection rates of 16.2%and 7.8%,respectively.Ca.R.hongyuanensis was detected only in H.qinghaiensis,with a prevalence of 16.3%.The prevalence of R.aeschlimannii was 20%and 2.7%in Hy.marginatum and H.danieli,respectively.Haplotype and nucleotide polymorphism analy-ses revealed 13 haplotypes in R.raoultii,with haplotype H13 as the dominant haplotype(42/192);seven haplotypes in Ca.R.ganna-nii F107,with haplotype H4 as the dominant haplotype(4/18);and three haplotypes in Ca.R.hongyuanensis,with haplotype H1 as the dominant haplotype(11/13).The phylogenetic tree indicated that the sequences of R.raoultii in selected areas of Qinghai and R.rhipicephali clustered into one branch;Ca.R.hongyuanensis and Ca.R.gannanii F107 clustered into one branch;and R.sibirica subsp.sibirica BJ-90 clustered into one branch with R.sibirica.Estimates of differentiation time revealed that the mean differentiation time for the six Rickettsia was approximately 2 000 Mya(95%CI:1 999.08-2 001.02 Mya).The tick species distributed in selected ar-eas of Qinghai are diverse,and this study provides the first report of Hy.marginatum in Qinghai Province.SFGR significantly varied in prevalence among tick species and showed high genetic diversity.

Objective:To quantitatively evaluate the level of the three medical linkage in China from 2009 to 2022,explore the influencing factors and driving paths of the three medical linkage in China,and provide a new perspective for promoting the development of the three medical linkage.Methods:An optimized coupling coordination degree model was used to calculate the coupling coordination degree between the trinity healthcare systems and different binary systems within the systems in 31 provinces of China(excluding Hong Kong,Macao and Taiwan),and the Fuzzy-set Qualitative Comparative Analysis method was used to explore the condition configurations of multi-factor-driven three medical linkage.Results:From 2009 to 2022,the coupling coordination degree between the trinity healthcare systems in each province of China generally showed an increasing trend year by year.Among the binary systems,the overall coordinated development situation between the medical and medical insurance systems was the best and the regional development was the most balanced.The coupling coordination degree gap between the trinity healthcare system and the internal binary systems among provinces gradually widened,and the multi-polarization trend intensified.The paths to promote high-level three medical linkage can be summarized into two types:internal and external balanced development type(H1)and government-led type(H2,H3),among which the H1 path with per capita GDP and health expenditure as core conditions was the most common.Conclusion:It is suggested to enhance institutional and technological innovation,and integrate resources through a cross-departmental collaboration mechanism and digital technology.Provinces should select high-level optimization paths by leveraging regional endowments to narrow the regional development gap.Meanwhile,under the impetus of high-level policies,the protection and supervision system continues to improve,thereby promoting the three medical linkage.