Objective:To explore the effect of C1q like protein 4(C1ql4)on migration and invasion of breast cancer and its mechanism.Methods:Real-time fluorescence quantitative PCR was used to detect the expression level of C1ql4 mRNA in tumor tissues and paracancerous tissues from 50 cases of breast cancer,as well as the breast cells including T549 and MCF-7 breast cancer cells,and MCF-10A normal breast cells.The siRNA targeting C1ql4 gene(siC1ql4)was synthesized and transfected into BT549 breast cancer cells by liposome transfection,and the silencing efficiency was detected by Western blotting.MTT assay was used to detect the proliferative ability of the cells in each group,the invasive ability of the cells was detected by Transwell assay,and the migratory ability of the cells was detected by scratch healing assay.Western blotting was used to detect the proliferative ability of the cells in each group.The expression levels of Snail,Slug,nuclear factor-κB(NF-κB)and phospho-NF-κB(p-NF-κB)were detected.The immunofluorescence was used to localize the distribution of NF-κB.Real-time fluorescence PCR was used to detect the mRNA expression levels of the NF-κB target genes TNF-α and IL-1β.Results:The expression level of C1ql4 mRNA in breast cancer tissues was significantly higher than that in paracancerous tissues,and the expression level of C1ql4 mRNA in BT549 and MCF-7 breast cancer cells was significantly higher than that in MCF-10A normal breast cells(P<0.05).After silencing C1ql4 expression,the proliferation,invasion and migration abilities of BT549 cells were significantly decreased(all P<0.001);the mRNA and prorein expression levels of Snail and Slug were significantly down-regulated(both P<0.001),and the mRNA expression levels of TNFα and IL-1β were significantly reduced(both P<0.001).The amount of NF-κB entering the nucleus was reduced,and the ratio of p-NF-κB to NF-κB was reduced(both P<0.05).Conclusion:The C1ql4 gene may regulate migration and invasion of breast cancer cells and promote breast cancer progression through the NF-κB pathway.

AIM To study the chemical constituents from Euphorbia humifusa Willd.and their in vitro anti-hepatoma activity.METHODS Silica gel,D101 macroporous adsorption resin and semi-preparative RP-HPLC were used for isolated and purified,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The anti-hepatocellular carcinoma activity was determined by MTT mothod.RESULTS Eighteen compounds were isolated and identified as 22-O-angeloyl-R1-barrigenol(1),dimethyl 3,3'-[oxybis(4,1-phenylene)](2E,2'E)-diacrylate(2),N-(3-methoxy-1,3-dioxopropyl)-D-tryptophan methyl ester(3),N-acetyltryptophan methyl ester(4),N-(methoxycarbonyl)-tryptophan methyl ester(5),(3β,5α,17β)-4,4,8,14-tetramethyl-18-norandrostane-3,17-diol(6),3β,18,19β-trihydroxylupane(7),pregnenolone(8),3-hydroxy-5,6-epoxy-7-megastigmen-9-one(9),dehydrovomifoliol(10),loliolide(11),2,2'-oxybis(1,4-di-tert-butylbenzene)(12),dibutyl phthalate(13),4-methoxycinnamic acid(14),3,4-dimethoxycinnamic acid(15),methyl 4-hydroxybenzoate(16),kaempferol(17),quercetin(18).The IC50 values of compounds 1,7 and 8 on HepG2 cells were(17.27±0.92),(19.11±2.14)and(7.53±1.09)μmol/L,respectively.CONCLUSION Compounds 1-16 are first isolated from this plant.Compounds 1,7 and 8 have anti-hepatoma activity.

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.

To investigate the molecular mechanisms underlying the mechanosensitive ion channel PI-EZO2 in osteoarthritis(OA),we developed a lentiviral vector for endogenous PIEZO2 overexpression and established a stable PIEZO2-high-expressing immortalized human primary chondrocyte line.By map-ping the open reading frame of the PIEZO2 locus and designing sequence-specific sgRNA,we employed the CRISPR/Cas9 synergistic activation mediator(SAM)system to precisely integrate transcriptional ac-tivation elements into the PIEZO2 promoter region.Lentiviral-mediated targeted genomic integration en-sured endogenous PIEZO2 overexpression,confirmed by mCherry fluorescence tracing coupled with flow cytometric sorting,which revealed membrane-specific localization of PIEZO2 protein(localization effi-ciency:78.49％).Quantitative PCR demonstrated a 17-fold upregulation of PIEZO2 mRNA,while Western blotting validated enhanced membrane-localized protein expression.Strikingly,PIEZO2-overex-pressing chondrocytes exhibited hallmark OA metabolic phenotypes compared to wild-type controls:typeⅡ collagen mRNA expression decreased to 50％of baseline levels,whereas matrix metalloproteinase 13(MMP13)mRNA surged by 20-fold.These alterations recapitulated the pathological matrix metabolic phenotype observed in biomechanical OA models induced by cyclic mechanical stress(10％strain,0.5 Hz,8 h/day for 2 consecutive days).Collectively,we successfully generated a human chondrocyte model with stable PIEZO2 overexpression,which faithfully mirrors mechanotransduction-driven OA progression.This engineered cellular system provides a robust platform for dissecting PIEZO2-mediated mechanosig-naling networks and advancing targeted therapeutic discovery.

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 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.

To investigate the molecular mechanisms underlying the mechanosensitive ion channel PI-EZO2 in osteoarthritis(OA),we developed a lentiviral vector for endogenous PIEZO2 overexpression and established a stable PIEZO2-high-expressing immortalized human primary chondrocyte line.By map-ping the open reading frame of the PIEZO2 locus and designing sequence-specific sgRNA,we employed the CRISPR/Cas9 synergistic activation mediator(SAM)system to precisely integrate transcriptional ac-tivation elements into the PIEZO2 promoter region.Lentiviral-mediated targeted genomic integration en-sured endogenous PIEZO2 overexpression,confirmed by mCherry fluorescence tracing coupled with flow cytometric sorting,which revealed membrane-specific localization of PIEZO2 protein(localization effi-ciency:78.49％).Quantitative PCR demonstrated a 17-fold upregulation of PIEZO2 mRNA,while Western blotting validated enhanced membrane-localized protein expression.Strikingly,PIEZO2-overex-pressing chondrocytes exhibited hallmark OA metabolic phenotypes compared to wild-type controls:typeⅡ collagen mRNA expression decreased to 50％of baseline levels,whereas matrix metalloproteinase 13(MMP13)mRNA surged by 20-fold.These alterations recapitulated the pathological matrix metabolic phenotype observed in biomechanical OA models induced by cyclic mechanical stress(10％strain,0.5 Hz,8 h/day for 2 consecutive days).Collectively,we successfully generated a human chondrocyte model with stable PIEZO2 overexpression,which faithfully mirrors mechanotransduction-driven OA progression.This engineered cellular system provides a robust platform for dissecting PIEZO2-mediated mechanosig-naling networks and advancing targeted therapeutic discovery.

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.

The quest to decipher the determinants of human longevity has intensified with the rise in global life expectancy. Long-lived individuals (LLIs), who exceed the average life expectancy while delaying age-related diseases, serve as a unique model for studying human healthy aging and longevity. Longevity is a complex phenotype influenced by both genetic and non-genetic factors. This review paper delves into the genetic, epigenetic, metabolic, immune, and environmental factors underpinning the phenomenon of human longevity, with a particular focus on LLIs, such as centenarians. By integrating findings from human longevity studies, this review highlights a diverse array of factors influencing longevity, ranging from genetic polymorphisms and epigenetic modifications to the impacts of diet and physical activity. As life expectancy grows, understanding these factors is crucial for developing strategies that promote a healthier and longer life.
Humans ; Healthy Aging/physiology* ; Longevity/physiology* ; Epigenesis, Genetic ; Life Expectancy ; Exercise ; Aging/genetics* ; Diet ; Aged, 80 and over