Lung cancer is the leading cause of cancer-related deaths worldwide， and tumor metastasis is a key factor contributing to the mortality of most lung cancer patients. Aberrant activation of epithelial-mesenchymal transition （EMT） is a major driver of lung cancer progression and metastasis. EMT is characterized by the loss of apical-basal polarity and intercellular adhesion in highly differentiated， polarized， and organized epithelial cells， which acquire motility， migratory potential， and invasive properties. During this process， cells undergo cytoskeletal remodeling and transform into a mesenchymal phenotype， accompanied by associated changes in cellular markers. The EMT process is highly complex and is tightly regulated by intricate networks involving multiple transcription factors， post-translational controls， epigenetic modifications， and non-coding RNAs. Therefore， therapies targeting the mechanisms of malignant transformation and their associated pathways in lung cancer are of significant clinical importance. In recent years， EMT has attracted increasing attention as a potential target for cancer therapy. Chinese medicine， with its characteristics of multi-target action， low side effects， and good therapeutic efficacy， has demonstrated an important role in anticancer treatment. A series of studies have investigated the role of Chinese medicine in inhibiting EMT in lung cancer. Active ingredients of Chinese medicine， including flavonoids， glycosides， phenols， terpenoids， saccharides， and alkaloids， as well as Chinese medicine compound formulas， have shown significant regulatory effects on EMT. Their mechanisms mainly involve multiple pathways， targets， and links， including signaling pathways， exosomes， microRNAs （miRNAs）， and the tumor-associated immune microenvironment. This article summarizes the mechanisms by which EMT promotes malignant tumor progression and reviews the current research on how Chinese medicine active ingredients， monomers， and compound formulas inhibit EMT and suppress lung cancer cell migration and invasion. This study is expected to provide comprehensive theoretical information for basic and translational research on lung cancer.

Objective This study aimed to investigate the relationship between multiple inflammatory markers and poor outcome in patients with intracerebral hemorrhage,and to compare their predictive abilities.Methods We retrospectively analyzed the patients with intracerebral hemorrhage admitted to the Department of Neurology of the First Affiliated Hospital of Nanchang University from January 1,2015 to March 31,2023.According to the Modified Rankin Scale at 90 days after onset,the patients were divided into good outcome(mRS≤2 points)and poor outcome(mRS score≥3 points).Clinical information,laboratory examinations and follow-up data were compared between the two groups.Inflammatory markers include neutrophil to lymphocyte ratio(NLR),platelet to lymphocyte ratio(PLR),monocyte to high-density lipoprotein ratio(MHR),systemic inflammatory response index(SIRI),systemic immune-inflammation index(SII),white blood cell count to mean platelet volume ratio(WMR),lymphocyte to monocyte ratio(LMR),and systemic coagulation-inflammation index(SCI).Univariate and multivariate logistic regression analysis were used to analyze the predictors of poor prognosis after intracerebral hemorrhage,and receiver operating characteristic curve(ROC)was constructed to compare their predictive ability.Results A total of 510 patients with intracerebral hemorrhage were included.Of those,297(58.2%)had good outcome,and 213(41.8%)had poor outcome.Comparison of baseline characteristics demonstrated that patients with poor prognosis had higher levels of white blood cells,neutrophils,high-density lipoprotein,fibrinogen,NLR,PLR,SIRI,SII,WMR at admission,larger baseline hematoma volume and baseline perihematomal edema volume,a higher proportion of lobar hemorrhage,older age,and lower levels of platelets,lymphocytes,LMR,and SCI(P<0.05).Multivariate regression analysis showed that NLR(OR:1.081,95%CI:1.032～1.1131,P=0.001),SIRI(OR:1.089,95%CI:1.014～1.169,P=0.019),SII(OR:1.000,95%CI:1.000～1.001,P=0.011),WMR(OR:2.627,95%CI:1.267～5.445,P=0.009)were independently associated with poor prognosis in patients with ICH.In ROC analysis,the area under the curve of NLR(0.729,95%CI:0.685～0.774)was higher than SIRI(0.692,95%CI:0.645～0.738),SII(0.688,95%CI:0.641～0.735)and WMR(0.65,95%CI:0.602～0.698)for predicting poor outcomes.Conclusion NLR,SIRI,SII and WMR at admission are independently associated with poor outcomes in patients with intracerebral hemorrhage,and NLR has the strongest predictive ability.

OBJECTIVE To analyze the plasma-entering components of the ethanol extract of Yu-Ping-Feng-San by ultra-per-formance liquid chromatography-quadrupole-time of flight tandem mass spectrometry(UPLC-Q-TOF-MS)technology,so as to pro-vide a reference for the study of the pharmacological substances of Yu-Ping-Feng-San.METHODS Male BALB/c mice were ga-vaged with the ethanol extract of Yu-Ping-Feng-San(6.5 g·kg-1),and plasma samples were collected before administration(0 h)and 1,2,4,6,8,and 12 h after administration.The UPLC-Q-TOF-MS technology was used to analyze and identify the components absorbed into the plasma.RESULTS A total of 73 chemical components in the ethanol extract of Yu-Ping-Feng-San were identi-fied,and 26 plasma-entering components were identified in all plasma samples.Among the plasma-entering components,11 compo-nents were from Saposhnikoviae Radix,and 15 components were from Radix Astragali.CONCLUSION The chemical components and plasma-entering components of the ethanol extract of Yu-Ping-Feng-San were analyzed comprehensively,which provides a reference for further clarifying the pharmacological substance basis and mechanism of action of Yu-Ping-Feng-San.

Whole-genome sequencing, serotype typing, MLST typing, population genetic structure analysis, and core-genome single nucleotide polymorphism (cgSNP) analysis were performed on 23 strains of mucoid Haemophilus influenzae collected from the Laboratory Center of Hunan Children′s Hospital from January 2021 to December 2022. Drug susceptibility tests were conducted using the automated microbial identification and susceptibility analysis system AF-600, and virulence genes and drug resistance genes were analyzed based on the whole-genome sequences. Based on the serotype typing of whole-genome sequencing, all 23 strains were Haemophilus influenzae type b (Hib). MLST analysis revealed that the 23 strains belonged to six ST types, among which 10 strains (43.5%) were ST386, 5 strains (21.7%) were ST18, and 2 strains (8.7%) were the newly discovered ST2887. Bayesian population structure analysis (BAPS) showed three distinct populations. The results of the virulence gene analysis showed that the carriage rates of genes encoding capsule-related proteins and those associated with bacterial immune regulation and inflammatory signaling pathways were all 100%. However, the ompP5 gene related to bacterial adhesion, and the hgpC and hxuA genes related to bacterial protein metabolism were all present in the newly discovered ST2887. The in vitro drug susceptibility test results of 23 strains of mucoid Hib showed that the resistance rates to ampicillin, cefuroxime, and Trimethoprim-sulfamethoxazole were 13.0%(3 strains), 13.0%(3 strains), and 87.0%(20 strains), respectively. They were sensitive to other beta-lactam drugs. All the 23 strains of mucoid Haemophilus influenzae infected children were Hib, and the main ST types were ST386 and ST18. It is very important to advocate Hib vaccination.

Objective To analyze the global burden of disease and cross-national imbalances of tracheal,bronchial and lung cancer from 1990-2021 and to further predict changes up to 2040.Methods Age-standardised incidence rate(ASIR),prevalence rate(ASPR),mortality rate(ASMR),disability-adjusted life years rate(ASDR)and 95%confidence interval(95%UI)were extracted from GHDx.The official data platform of the institute for health metrics and evaluation(IHME)and the source of data were the Global Burden of Disease Study 2021(GBD 2021)for global burden of disease of trachea,bronchus and lung cancer.The estimated annual percentage change(EAPC)was calculated to describe the prevalence at global,regional and national levels,to understand the differences in diseases at different gender,age and socio-demographic index(SDI)levels,and to explore the overall situation through cluster analysis,cross-country health inequality analysis and to predict the future prevalence up to 2040 through Nordpred model.Results Globally,the ASIR for tracheal,bronchial and lung cancer fluctuated slightly from 1990 to 2009,and began to decline rapidly after 2009,with an ASIR of 26.42/100 000 in 2021.ASPR showed an increasing and then decreasing trend,reaching a peak in 2011,with a peak of 37.28/100 000 in 2021,while the ASMR and the ASDR showed a general decreasing trend.Tracheal,bronchial and lung cancer diseases showed the highest disease burden in men,those aged 65-74 and in countries and regions with high SDI.ASDR burden showed significant inequalities globally,with a significant positive correlation between ASDR and SDI,mainly concentrated in countries and regions with high SDI,and the unequal burden of ASDR for tracheal,bronchial and lung cancer decreases over time.Predictive analyses found that the number of new cases,current cases,deaths and disability-adjusted life years(DALY)for tracheal,bronchial and lung cancer were expected to increase through 2040,whereas ASIR,ASPR,ASMR and ASDR were projected to decrease each year.Conclusion The overall burden of tracheal,bronchial and lung cancer has declined globally from 1990 to 2021,but with demographic and regional differences.The actual number of cases will continue to climb in the future,despite the continuing decline in age-specified rates,and disease prevention and control will need to focus on growth trends and equity in resource allocation.

OBJECTIVE To analyze the plasma-entering components of the ethanol extract of Yu-Ping-Feng-San by ultra-per-formance liquid chromatography-quadrupole-time of flight tandem mass spectrometry(UPLC-Q-TOF-MS)technology,so as to pro-vide a reference for the study of the pharmacological substances of Yu-Ping-Feng-San.METHODS Male BALB/c mice were ga-vaged with the ethanol extract of Yu-Ping-Feng-San(6.5 g·kg-1),and plasma samples were collected before administration(0 h)and 1,2,4,6,8,and 12 h after administration.The UPLC-Q-TOF-MS technology was used to analyze and identify the components absorbed into the plasma.RESULTS A total of 73 chemical components in the ethanol extract of Yu-Ping-Feng-San were identi-fied,and 26 plasma-entering components were identified in all plasma samples.Among the plasma-entering components,11 compo-nents were from Saposhnikoviae Radix,and 15 components were from Radix Astragali.CONCLUSION The chemical components and plasma-entering components of the ethanol extract of Yu-Ping-Feng-San were analyzed comprehensively,which provides a reference for further clarifying the pharmacological substance basis and mechanism of action of Yu-Ping-Feng-San.

Objective To analyze the global burden of disease and cross-national imbalances of tracheal,bronchial and lung cancer from 1990-2021 and to further predict changes up to 2040.Methods Age-standardised incidence rate(ASIR),prevalence rate(ASPR),mortality rate(ASMR),disability-adjusted life years rate(ASDR)and 95%confidence interval(95%UI)were extracted from GHDx.The official data platform of the institute for health metrics and evaluation(IHME)and the source of data were the Global Burden of Disease Study 2021(GBD 2021)for global burden of disease of trachea,bronchus and lung cancer.The estimated annual percentage change(EAPC)was calculated to describe the prevalence at global,regional and national levels,to understand the differences in diseases at different gender,age and socio-demographic index(SDI)levels,and to explore the overall situation through cluster analysis,cross-country health inequality analysis and to predict the future prevalence up to 2040 through Nordpred model.Results Globally,the ASIR for tracheal,bronchial and lung cancer fluctuated slightly from 1990 to 2009,and began to decline rapidly after 2009,with an ASIR of 26.42/100 000 in 2021.ASPR showed an increasing and then decreasing trend,reaching a peak in 2011,with a peak of 37.28/100 000 in 2021,while the ASMR and the ASDR showed a general decreasing trend.Tracheal,bronchial and lung cancer diseases showed the highest disease burden in men,those aged 65-74 and in countries and regions with high SDI.ASDR burden showed significant inequalities globally,with a significant positive correlation between ASDR and SDI,mainly concentrated in countries and regions with high SDI,and the unequal burden of ASDR for tracheal,bronchial and lung cancer decreases over time.Predictive analyses found that the number of new cases,current cases,deaths and disability-adjusted life years(DALY)for tracheal,bronchial and lung cancer were expected to increase through 2040,whereas ASIR,ASPR,ASMR and ASDR were projected to decrease each year.Conclusion The overall burden of tracheal,bronchial and lung cancer has declined globally from 1990 to 2021,but with demographic and regional differences.The actual number of cases will continue to climb in the future,despite the continuing decline in age-specified rates,and disease prevention and control will need to focus on growth trends and equity in resource allocation.

The plant F-box protein more axillary growth 2 (MAX2) is a key factor in the signal transduction of strigolactones (SLs) and karrinkins (KARs). As the main component of the SKP1-CUL1-FBX (SCF) complex ubiquitin ligase E3, MAX2 is responsible for specifically recognizing the target proteins, suppressor of MAX2 1/SMAX1-like proteins (SMAX1/SMXLs), which would be degraded after ubiquitination. It can thereby regulate plant morphogenesis and stress responses. There exist homologous genes of MAX2 in the important grain and oil crop soybean (Glycine max). However, its role in plant defense responses has not been investigated yet. Here, GmMAX2b, a homologous gene of MAX2, was successfully cloned from stressed soybean. Bioinformatics analysis revealed that there were two MAX2 homologous genes, GmMAX2a and GmMAX2b, with a similarity of 96.2% in soybean. Their F-box regions were highly conserved. The sequence alignment and cluster analysis of plant MAX2 homologous proteins basically reflected the evolutionary relationship of plants and also suggested that soybean MAX2 might be a multifunctional protein. Expression analysis showed that plant pathogen infection and salicylic acid treatment induced the expression of GmMAX2b in soybean, which is consistent with that of MAX2 in Arabidopsis. Ectopic expression of GmMAX2b compensated for the susceptibility of Arabidopsis max2-2 mutant to pathogen, indicating that GmMAX2b positively regulated plant disease resistance. In addition, yeast two hybrid technology was used to explore the potential target proteins of GmMAX2b. The results showed that GmMAX2b interacted with SMXL6 and weakly interacted with SMXL2. In summary, GmMAX2b is a positive regulator in plant defense responses, and its expression is induced by pathogen infection and salicylic acid treatment. GmMAX2b might exert its effect through interaction with SMXL6 and SMXL2. This study expands the theoretical exploration of soybean disease resistant F-box and provides a scientific basis for future soybean disease resistant breeding.
Glycine max/metabolism* ; Disease Resistance/genetics* ; Plant Diseases/immunology* ; Plant Proteins/genetics* ; Cloning, Molecular ; Gene Expression Regulation, Plant ; F-Box Proteins/genetics* ; Arabidopsis/genetics* ; Phylogeny

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Glioma represents the most prevalent malignant tumor of the central nervous system, with chemotherapy serving as an essential adjunctive treatment. However, most chemotherapeutic agents exhibit limited ability to penetrate the blood-brain barrier (BBB). This study introduced a novel dual-targeting strategy for glioma therapy by modulating the formation of nanobody-driven protein coronas to enhance the brain and tumor-targeting efficiency of hydrophobic cisplatin prodrug-loaded lipid nanoparticles (C8Pt-Ls). Specifically, nanobodies (Nbs) with fibrinogen-binding capabilities were conjugated to the surface of C8Pt-Ls, resulting in the generation of Nb-C8Pt-Ls. Within the bloodstream, Nb-C8Pt-Ls could bound more fibrinogen, forming the protein corona that specifically interacted with LRP-1, a receptor highly expressed on the BBB. This interaction enabled a "Hitchhiking Effect" mechanism, facilitating efficient trans-BBB transport and promoting effective brain targeting. Additionally, the protein corona interacted with LRP-1, which is also overexpressed in glioma cells, achieving precise tumor targeting. Computational simulations and SPR detection clarified the molecular interaction mechanism of the Nb-fibrinogen-(LRP-1) complex, confirming its binding specificity and stability. Our results demonstrated that this strategy significantly enhanced C8Pt accumulation in brain tissues and tumors, induced apoptosis in glioma cells, and improved therapeutic efficacy. This study provides a novel framework for glioma therapy and underscores the potential of protein corona modulation-based dual-targeting strategies in advancing treatments for brain tumors.