Objective:To explore the relationship between the expressions of miR-217 and miR-4286 in gastric cancer tissues and gastric cancer complicated with Helicobacter pylori(HP)infection,as well as their predictive value for prognosis.Methods:A total of 225 patients who underwent radical gastrectomy for gastric cancer in the First Af-filiated Hospital of Xingtai Medical College from January 2021 to February 2023 were selected and divided into the HP+group and the HP-group according to whether they were complicated with HP infection.The expressions of miR-217 and miR-4286 in gastric cancer tissues were detected by real-time fluorescence quantitative PCR,the rela-tionship between the expressions of miR-217 and miR-4286 and HP infection in patients with gastric cancer was evaluated by Spearman correlation analysis.Regular outpatient reexaminations were conducted for a 2-year follow-up.Gastric cancer patients with recurrence or all-cause death during the follow-up period were included in the poor prognosis group,and the rest were included in the good prognosis group.Univariate and multivariate Logistic regres-sion analysis methods were used to screen the influencing factors of gastric cancer prognosis,the ROC curve was used to evaluate the predictive value of miR-217 and miR-4286 expressions for the prognosis of gastric cancer.Re-sults:Compared with the HP-group,the expressions of miR-217 and miR-4286 in the HP+group were up-regulated(P<0.05),and the expressions of miR-217 and miR-4286 were positively correlated with gastric cancer pa-tients with HP infection(r=0.652,0.485,P<0.05).Compared with the good prognosis group,the proportion of TNM stage Ⅲ,lymph node metastasis and HP infection in the poor prognosis group was higher,and the expressions of miR-217 and miR-4286 were up-regulated,with statistical significance(P<0.05).The results of multivariate Logistic regression analysis showed that TNM stage Ⅲ(OR=1.425),lymph node metastasis(OR=1.548),HP infection(OR=1.465),high expression of miR-217(OR=1.608),and high expression of miR-4286(OR=1.544)are the influencing fac-tors for poor prognosis of gastric cancer(P<0.05).The ROC curve showed that the AUC of the combined prediction of miR-217 and miR-4286 in gastric cancer tissues for poor prognosis in patients with gastric cancer was 0.922,which was higher than that of miR-217(0.817)and miR-4286(0.806)alone(Z=6.527,7.025;both P<0.05).Conclu-sion:The expressions of miR-217 and miR-4286 in gastric cancer tissues are closely related to HP infection in gas-tric cancer patients,and the combination of Mir-217 and Mir-4286 is effective in predicting the poor prognosis after radical gastritis.

OBJECTIVE To establish a extraction process of Changyan Heji Ⅱ(CYHJ-Ⅱ)based on UPLC-Q-TOF-MS/MS technology combined with response surface analysis,and to optimize the extraction process.METHODS The chemical components in CYHJ-Ⅱ were qualitatively analyzed by UPLC-Q-TOF-MS/MS technology,and the chemical components with good linear relation-ship in mass spectrometry response were selected as process investigation indicators;the extraction process parameters(water addition amount,extraction time and soaking time)were investigated by Box-Behnken design;the comprehensive score was obtained by princi-pal component analysis(PCA),and the optimal process was determined by the comprehensive score combined with response surface a-nalysis.RESULTS Through qualitative analysis,110 components were inferred and identified from CYHJ-Ⅱ,including 2 organic acids,82 flavonoids,13 terpenoids,and 13 alkaloids.Based on the results of qualitative analysis,48 index components with good lin-ear relationships were derived by UPLC-Q-TOF-MS/MS combined with Masshunter mass spectrometry data analysis software.PCA was performed and the comprehensive score was calculated.Response surface analysis was performed with the comprehensive score as an indicator.The optimal extraction process obtained by combining the response surface prediction results and actual production was:soaking for 45 min,8 times the amount of solvent,2 extractions,each time for 120 min.CONCLUSION This study provides a new idea for the investigation of the extraction process of traditional Chinese medicine compound prescriptions and expands a new method for the development of traditional Chinese medicine compound prescriptions.

OBJECTIVE To explore the functional substance basis of Jinhong Tablet in the treatment of chronic superficial gastri-tis(CSG).METHODS Three different models were constructed to investigate the anti-inflammatory and antioxidant effects,func-tional material basis of Jinhong Tablet:inflammatory model in human gastric epithelial cells(GES-1)induced by lipopolysaccharide(LPS),LPS-induced inflammatory model in mouse gastric organoids,and ethanol-induced oxidative damage model in GES-1 cells.MTS assay was performed to detect cell proliferation activity;qPCR was applied to measure the relative mRNA expression of tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),interleukin-6(IL-6),and interleukin-8(IL-8)in cells and gastric organoids;and the levels of superoxide dismutase(SOD),malondialdehyde(MDA),and reactive oxygen species(ROS)in cells were detected.RESULTS Jinhong Tablet and 10 functional components significantly reduced the relative expression of inflammation-relat-ed genes TNF-α,IL-1β,IL-6,and IL-8 in LPS-induced GES-1 cells and gastric organoids,suggesting that these 10 components are the functional substance basis for the anti-inflammatory effects of Jin Hong Tablet.Jin Hong Tablet and 11 functional components markedly decreased the levels of MDA and ROS and increased the activity of SOD,indicating that these 11 components were the func-tional substance basis of the antioxidant effects of Jinhong Tablet.CONCLUSION Through in vitro cell and gastric organoid experi-ments,it has been preliminarily determined that allocryptopine,corydaline,dehydrocorydaline,palmatine hydrochloride,chlorogenic acid,costunolide,rutin,quercitrin,dehydrocostus lactone,tetrahydrocoptisine,isochlorogenic acid B,toosendanin,protopine,and quercetin are the functional material basis of Jinhong Tablet in treating CSG,accumulating scientific evidence for the enhancement of the quality standards of Jinhong Tablet.

Objective:To explore the relationship between the expressions of miR-217 and miR-4286 in gastric cancer tissues and gastric cancer complicated with Helicobacter pylori(HP)infection,as well as their predictive value for prognosis.Methods:A total of 225 patients who underwent radical gastrectomy for gastric cancer in the First Af-filiated Hospital of Xingtai Medical College from January 2021 to February 2023 were selected and divided into the HP+group and the HP-group according to whether they were complicated with HP infection.The expressions of miR-217 and miR-4286 in gastric cancer tissues were detected by real-time fluorescence quantitative PCR,the rela-tionship between the expressions of miR-217 and miR-4286 and HP infection in patients with gastric cancer was evaluated by Spearman correlation analysis.Regular outpatient reexaminations were conducted for a 2-year follow-up.Gastric cancer patients with recurrence or all-cause death during the follow-up period were included in the poor prognosis group,and the rest were included in the good prognosis group.Univariate and multivariate Logistic regres-sion analysis methods were used to screen the influencing factors of gastric cancer prognosis,the ROC curve was used to evaluate the predictive value of miR-217 and miR-4286 expressions for the prognosis of gastric cancer.Re-sults:Compared with the HP-group,the expressions of miR-217 and miR-4286 in the HP+group were up-regulated(P<0.05),and the expressions of miR-217 and miR-4286 were positively correlated with gastric cancer pa-tients with HP infection(r=0.652,0.485,P<0.05).Compared with the good prognosis group,the proportion of TNM stage Ⅲ,lymph node metastasis and HP infection in the poor prognosis group was higher,and the expressions of miR-217 and miR-4286 were up-regulated,with statistical significance(P<0.05).The results of multivariate Logistic regression analysis showed that TNM stage Ⅲ(OR=1.425),lymph node metastasis(OR=1.548),HP infection(OR=1.465),high expression of miR-217(OR=1.608),and high expression of miR-4286(OR=1.544)are the influencing fac-tors for poor prognosis of gastric cancer(P<0.05).The ROC curve showed that the AUC of the combined prediction of miR-217 and miR-4286 in gastric cancer tissues for poor prognosis in patients with gastric cancer was 0.922,which was higher than that of miR-217(0.817)and miR-4286(0.806)alone(Z=6.527,7.025;both P<0.05).Conclu-sion:The expressions of miR-217 and miR-4286 in gastric cancer tissues are closely related to HP infection in gas-tric cancer patients,and the combination of Mir-217 and Mir-4286 is effective in predicting the poor prognosis after radical gastritis.

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 establish a extraction process of Changyan Heji Ⅱ(CYHJ-Ⅱ)based on UPLC-Q-TOF-MS/MS technology combined with response surface analysis,and to optimize the extraction process.METHODS The chemical components in CYHJ-Ⅱ were qualitatively analyzed by UPLC-Q-TOF-MS/MS technology,and the chemical components with good linear relation-ship in mass spectrometry response were selected as process investigation indicators;the extraction process parameters(water addition amount,extraction time and soaking time)were investigated by Box-Behnken design;the comprehensive score was obtained by princi-pal component analysis(PCA),and the optimal process was determined by the comprehensive score combined with response surface a-nalysis.RESULTS Through qualitative analysis,110 components were inferred and identified from CYHJ-Ⅱ,including 2 organic acids,82 flavonoids,13 terpenoids,and 13 alkaloids.Based on the results of qualitative analysis,48 index components with good lin-ear relationships were derived by UPLC-Q-TOF-MS/MS combined with Masshunter mass spectrometry data analysis software.PCA was performed and the comprehensive score was calculated.Response surface analysis was performed with the comprehensive score as an indicator.The optimal extraction process obtained by combining the response surface prediction results and actual production was:soaking for 45 min,8 times the amount of solvent,2 extractions,each time for 120 min.CONCLUSION This study provides a new idea for the investigation of the extraction process of traditional Chinese medicine compound prescriptions and expands a new method for the development of traditional Chinese medicine compound prescriptions.

BACKGROUND AND OBJECTIVE: Patients with glioma experience a high symptom burden and have diverse palliative care needs. However, the assessment scales used in palliative care remain non-standardized and highly heterogeneous. To evaluate the application patterns of the current scales used in palliative care for glioma, we aim to identify gaps and assess the need for disease-specific scales in glioma palliative care. METHODS: We conducted a systematic search of five databases including PubMed, Web of Science, Medline, EMBASE, and CINAHL for quantitative studies that reported scale-based assessments in glioma palliative care. We extracted data on scale characteristics, domains, frequency, and psychometric properties. Quality assessments were performed using the Cochrane ROB 2.0 and ROBINS-I tools. RESULTS: Of the 3,405 records initially identified, 72 studies were included. These studies contained 75 distinct scales that were used 193 times. Mood (21.7%), quality of life (24.4%), and supportive care needs (5.2%) assessments were the most frequently assessed items, exceeding half of all scale applications. Among the various assessment dimensions, the Distress Thermometer (DT) was the most frequently used tool for assessing mood, while the Short Form-36 Health Survey Questionnaire (SF-36) was the most frequently used tool for assessing quality of life. The Mini Mental Status Examination (MMSE) was the most common tool for cognitive assessment. Performance status (5.2%) and social support (6.8%) were underrepresented. Only three brain tumor-specific scales were identified. Caregiver-focused scales were limited and predominantly burden-oriented. CONCLUSIONS: There are significant heterogeneity, domain imbalances, and validation gaps in the current use of assessment scales for patients with glioma receiving palliative care. The scale selected for use should be comprehensive and user-friendly.
Humans ; Glioma/psychology* ; Palliative Care/methods* ; Quality of Life ; Psychometrics ; Brain Neoplasms/psychology*

Objective To understand the implementation status of"Diagnosis of Ascariasis"(WS/T 565-2017)and provide a scientific basis for promoting,revising,and improving the Standard.Methods Using the convenient sampling method,the investigation targeted professional and technical personnel at the provincial,city,county,and township levels engaged in parasitic disease prevention,control,or diagnosis and treatment in Anhui and Sichuan provinces.No less than 150 individuals were included in each province.The implementation survey of Diagnosis of Ascariasis(WS/T 565-2017)was conducted by the subjects completing a questionnaire by themselves.Results The response rate to the questionnaire was 91.90%(386/420).The awareness and utilization rates of the Standard were 81.87%and 49.22%,respectively and both increased with age(χ2 trend=7.977 and 19.016,respectively,P＜0.01).Respondents with college degrees(90.72%)had a higher awareness rate(χ2=8.619,P＜0.05).In terms of utilization rate,males(58.38%),those with college degrees(67.01%),staff members of provincial-level units(77.78%),and personnel in medical institutions(71.43%)had higher utilization rates(χ2=13.486,17.166,8.426,and 5.956,respectively,all P＜0.05).The survey indicated that 57.77%of the work units of respondents have conducted promotional activities,and 53.89%of the work units of respondents have sent personnel to participate in training.Moreover,this proportion tended to increase as the unit level decreased(χ2 trend=9.403 and 14.729,P＜0.01).The level of participation in publicity and training by medical institutions(89.29%)was significantly higher than that of disease control institutions(55.31%and 51.12%,respectively,χ2=12.290 and 15.225,P＜0.01).Furthermore,training participation is a crucial factor in enhancing awareness rates.A total of 368 respondents(95.34%)reported that their work units have conducted testing for ascariasis.Additionally,378 individuals(97.92%)believe that the Standard is"applicable"or"basically applicable,"while 369(95.60%)felt that no revisions were needed.Conclusions The results indicated that"Diagnosis of Ascariasis"(WS/T 565-2017)remains applicable to the diagnostic needs of ascariasis and it is recommended to strengthen its promotion and implementation.

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.