ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

ObjectiveTo clarify the independent and synergistic effects of dyslipidemia in the progression of hepatic steatosis in metabolic dysfunction-associated fatty liver disease （MAFLD）. MethodsA total of 7 697 participants who underwent physical examination in Beijing Friendship Hospital， Capital Medical University， from January 2022 to December 2024 were enrolled， and finally 2 177 patients with MAFLD were enrolled as subjects. Transient elastography was used to quantify the severity of hepatic steatosis （grades S1-S3）. The multivariable ordinal Logistic regression analysis was used to investigate the independent and synergistic associations of serum triglyceride （TG）， high-density lipoprotein cholesterol （HDL-C）， and low-density lipoprotein cholesterol （LDL-C） with the severity of hepatic steatosis， and their interactions and potential nonlinear relationships with metabolic factors were also examined. One-way analysis of variance or Kruskal-Wallis H test was used for comparison of continuous data between groups， and chi-square test was used for comparison of categorical data between groups. ResultsAn increase in TG （odds ratio ［OR］=1.77， 95% confidence interval ［CI］： 1.48 — 2.10， P<0.001） and a reduction in HDL-C （OR=1.35， 95%CI： 1.11 — 1.65， P=0.003） were independently associated with a greater severity of hepatic steatosis， with the strongest association when both abnormalities coexisted （OR=2.40， 95%CI： 1.87 — 3.07， P<0.001）. The dose-response relationship analysis further revealed a nonlinear threshold effect of TG on hepatic steatosis at the threshold of 1.51 mmol/L （P_nonlinearity=0.001）， below which the severity of steatosis increased more rapidly with the increase in TG concentration （P=0.001）. The subgroup analysis showed that the association between the reduction in HDL-C and the severity of steatosis was observed only in males， young adults （aged <45 years）， and metabolically healthier subgroups （without diabetes， obesity， hyperuricemia or hypertension）. Significant interactions were observed between the presence or absence of obesity and the abnormal levels of TG and HDL‑C （both P_interaction<0.05）. The association of the increase in LDL-C with steatosis was confined to specific subgroups （without obesity or hyperuricemia）. ConclusionThe increase in TG and the reduction in HDL-C are independently associated with the severity of hepatic steatosis in MAFLD. The synergistic effect of blood lipids and their interactions with metabolic factors may further refine risk stratification， so as to provide a basis for precise management of MAFLD.

Current ambient mass spectrometry ionization often requires external auxiliary equipment such as high-voltage power supply,gas cylinder,and syringe pump.Moreover,the process of sample preparation is cumbersome,and the experimental operations are complex,which makes it difficult to adapt to real-time on-site detection.In this work,a novel method was proposed,in which direct sampling of raw samples,online extraction of interest analytes,and ionization of target molecules were integrated into a single unit.With the developed method,the in-situ extraction and nano-electrospray ionization for both liquid and solid raw samples were achieved.Also,a handheld ion source and its pose adjustment device were developed,and the position and angle parameters were subsequently optimized.The performance of the ionization device was tested using standard solutions of caffeine and reserpine.The limits of detection(LODs)were 0.08 μg/L and 0.14 μg/L,with relative standard deviations(RSDs)≤3.7% and≤5.6%,respectively,indicating that the device possessed high sensitivity and stability.Using this device,three different concentrations of reserpine standard solutions were continuously tested for five days.The intra-day RSDs were consistently≤4.7% and the inter-day RSDs were all≤10.3%,showing the good working stability of the device.Without any pretreatment,a rapid qualitative detection of medicinal components including astragaloside II and cycloastragenol in five traditional Chinese medicines was carried out,with RSDs≤8.0% and≤7.1%,respectively.Additionally,rapid qualitative detection of gallic acid,a medicinal component,in white peony roots,and hypaphorine as well as quercetin in cowherb seeds were carried out,with RSDs≤7.0%,≤6.4% and≤6.1%,respectively.These results demonstrated that the ionization technology and device exhibited good stability during qualitative detection of raw samples.

OBJECTIVE: To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease. METHODS: This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used. RESULTS: During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity. CONCLUSION Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Exercise ; Male ; Female ; Middle Aged ; Prospective Studies ; Aged ; Genetic Predisposition to Disease ; Risk Factors ; United Kingdom/epidemiology* ; Incidence ; Adult

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 develop the Ego Depletion Scale for Type 2 Diabetes Patients and evaluate its reliability and validity,and to provide a specific assessment tool for evaluating ego-depletion in self-management.Methods Guided by the self-control strength model,the initial scale was constructed through literature review,semi-structured interviews,2 rounds of expert consultation,and a pilot survey.A convenience sampling method was employed to recruit 460 patients with Type 2 Diabetes from the endocrinology department of a tertiary hospital in Wuhan,Hubei Province,between April and July 2024.They were randomly divided into 2 subsets for exploratory factor analysis and confirmatory factor analysis.Results A total of 451 valid questionnaires were collected.Exploratory factor analysis extracted 6 common factors,with a cumulative variance contribution of 73.231％.In confirmatory factor analysis,an item was deleted due to failing to meet the standardized loading value criterion.The revised Ego Depletion Scale for Type 2 Diabetes Patients comprised 6 dimensions and 22 items.The total Cronbach's α coefficient was 0.911;split-half reliability was 0.744;the content validity index was 0.860.Correlation coefficients between the total score and scores of each dimension of the scale and the total score of the Self-Regulatory Fatigue Scale ranged from 0.558 to 0.946(P＜0.001).Conclusion The scale exhibits robust reliability and validity,serving as a scientifically instrument for assessing ego depletion in patients with Type 2 Diabetes.

Objective:To document the effectiveness of ultrasound-guided genicular nerve block (GNB) in treating knee osteoarthritis (KOA).Methods:A total of 92 KOA patients were randomly divided into an observation group and a control group with 46 in each. Those in both groups were treated conventionally, including with non-steroidal anti-inflammatory drugs, acupuncture, ultrasound, laser irradiation and manipulation therapy. The observation group additionally underwent ultrasound-guided genicular nerve block treatment, once a week for 2 weeks. Pain scoring on a visual analog scale (VAS), the Western Ontario and McMaster University Osteoarthritis Index (WOMAC) and a 6-minute walk test (6MWT) were used to evaluate everyone before and after the treatment, and then 8 weeks later.Results:In the observation group the average VAS rating [(3.54±2.00) at week 2 and (4.13±2.04) at week 8] and the average WOMAC subscale and total scores [(36.91±16.91) at week 8] had improved significantly right after the experiment and 8 weeks later. But in the control group this was true only right after the treatment. The observation group also demonstrated superior improvements in 6MWT distance at week 2 [(434.22±125.19)m] and week 8 [(446.35±126.45)m] compared to both its own baseline and the control group.Conclusions:Ultrasound-guided genicular nerve block is a rapid, precise, effective, and long-lasting intervention for alleviating pain, improving knee function and enhancing walking endurance in KOA patients.

Objective:To investigate the efficacy and potential mechanism of sulfasalazine (SASP) therapy for intrahepatic cholestasis.Methods:Forty SD rats were randomly divided into a normal group (carboxymethylcellulose sodium 0.5%), a model group (carboxymethylcellulose sodium 0.5%), a SASP group (sulfasalazine 150 mg/kg), and an ursodeoxycholic acid (UDCA 100 mg/kg) group, with ten rats in each group. The cholestatic liver injury model was induced using α-naphthylisothiocyanate. Blood samples were collected to detect liver biochemistry and cholestasis indexes. Rat liver tissue was collected for hematoxylin-eosin staining and Mason staining. Liver tissue was analyzed using transcriptome sequencing, real-time reverse transcription quantitative polymerase chain reaction, Western blotting and flow cytometry. Simultaneously, the level of inflammatory factors, total cholesterol, and total bile acids were measured in liver tissue. A t-test or a nonparametric test was selected based on the distribution and variance characteristics of the data. Results:The serum levels of alanine aminotransferase [(386.88±155.77) U/L], aspartate aminotransferase [(593.13±251.44) U/L], alkaline phosphatase [(561.25±167.54) U/L], total bilirubin [(38.00±29.75) mol/L] and total bile acids [(191.31±91.48) mol/L] were significantly lower in the SASP than the model groups [(778.75±313.59) U/L, (1 159.38±274.62) U/L, (801.25±161.28) U/L, (86.63±27.83) mol/L, (432.63±151.54) mol/L, P<0.05]. Liver histopathology showed that the inflammatory cells in the manifold area, the bile duct proliferation and dilation, and the collagen deposition in the manifold area were significantly improved under the pathological state of cholestasis in the SASP group. The results of transcriptome sequencing demonstrated that SASP activated the peroxisome proliferator actived receptor α (PPAR α) and inhibited Th17 cell differentiation. The PPARα mRNA level in the liver tissue of rats was significantly increased in the SASP group compared with that in the model group [(0.41±0.28) vs. (0.16±0.04), P<0.05], and the expression of 3-hydroxy-3-methylglutaryl coenzyme A reductase was decreased compared with that in the model group [(3.09±1.16) vs. (8.19±2.19), P<0.05], which was also verified at the protein level. The concentrations of total cholesterol [(0.31±0.34) mmol/g] and total bile acids [(2.58±0.99) μmol/g] were lower than the model group [(0.83±0.62) mmol/g and (4.07±0.91) μmol/g] ( P<0.05), and at the same time it was accompanied by lower levels of inflammatory factors ( P<0.05). SASP treatment decreased the expression of retinoic acid receptor-related orphan receptor γt gene ( P<0.05) and the proportion of Th17 ( P<0.05). Conclusion:SASP can improve cholestatic liver injury, and its mechanism is related to the activation of peroxisome proliferator-activated receptor α and the inhibition of Th17 cell differentiation.

Objective:To document the effectiveness of ultrasound-guided genicular nerve block (GNB) in treating knee osteoarthritis (KOA).Methods:A total of 92 KOA patients were randomly divided into an observation group and a control group with 46 in each. Those in both groups were treated conventionally, including with non-steroidal anti-inflammatory drugs, acupuncture, ultrasound, laser irradiation and manipulation therapy. The observation group additionally underwent ultrasound-guided genicular nerve block treatment, once a week for 2 weeks. Pain scoring on a visual analog scale (VAS), the Western Ontario and McMaster University Osteoarthritis Index (WOMAC) and a 6-minute walk test (6MWT) were used to evaluate everyone before and after the treatment, and then 8 weeks later.Results:In the observation group the average VAS rating [(3.54±2.00) at week 2 and (4.13±2.04) at week 8] and the average WOMAC subscale and total scores [(36.91±16.91) at week 8] had improved significantly right after the experiment and 8 weeks later. But in the control group this was true only right after the treatment. The observation group also demonstrated superior improvements in 6MWT distance at week 2 [(434.22±125.19)m] and week 8 [(446.35±126.45)m] compared to both its own baseline and the control group.Conclusions:Ultrasound-guided genicular nerve block is a rapid, precise, effective, and long-lasting intervention for alleviating pain, improving knee function and enhancing walking endurance in KOA patients.