Relationship between the Three Laws of Dialectics of Nature and Agricultural Development

Based on the three laws of dialectics of nature-the law of unity of opposites, the law of mutual change of quality and the law of negation of negation, this paper analyzes the relationship between the three laws and agricultural development, and proposes making good use of the three laws to promote the better development of agriculture and realize agricultural modernization.

Beta-elemene inhibits the growth of KDM6A-null bladder cancer cells by suppressing the epithelial-mesenchymal transition

Background:Bladder cancer is a highly prevalent and lethal malignant tumor characterized by frequent mutations/deletions of lysine-specific demethylase 6A(KDM6A),which is suggested to be a key event in cancer progression and metastasis.Beta-elemene has been shown to inhibit metastasis and growth of various tumors,but its effect on KDM6A-null bladder cancer cells remains unknown.Objective:This study aimed to investigate the potential and molecular mechanism ofβ-elemene in inhibiting the growth of KDM6A-null bladder cancer.Methods:This study examined the migration ability and viability of RT-4(KDM6A wild-type)and KU19-19(KDM6A-null)cell lines using wound healing assay and CCK-8,respectively.The inhibitory effect ofβ-elemene on KU19-19 cell migration was evaluated using transwell and immunofluorescence assays,and the expression of transfer-related proteins and genes was analyzed through western blot and qRT-PCR,respectively.Molecular docking was performed to predict the targeting ofβ-elemene,and the effects were confirmed in KDM6Aknockdown RT-4 cells.Finally,the therapeutic effect ofβ-elemene on bladder cancer was tested in animal models.Results:The study observed that loss of KDM6A increased bladder cancer cell migration,with KU19-19 exhibiting significantly stronger migration than RT-4.Further investigation revealed thatβ-elemene effectively inhibited KU19-19 cell migration,likely through targeting EZH2 as determined by molecular docking.Overexpression of KDM6A inhibited KU19-19 metastasis,while knockdown of KDM6A in RT-4 cells enhanced cell migration,which was reversed byβ-elemene treatment.Notably,in vivo testing revealed a significant suppression of KU19-19 cell growth withβ-elemene administered at a dosage of 100 mg/kg.Conclusion:β-elemene has the potential to suppress the growth of KDM6A-null bladder cancer by inhibiting epithelial-mesenchymal transition(EMT),which could make it a promising therapeutic option for patients with KDM6A-null bladder cancer.

Curcumenol triggered ferroptosis in lung cancer cells via lncRNA H19/miR-19b-3p/FTH1 axis

Curcumenol,an effective ingredient of Wenyujin,has been reported that exerted its antitumor potential in a few cancer types.However,the effect and molecular mechanism of curcumenol in lung cancer are largely unknown.Here,we found that curcumenol induced cell death and suppressed cell proliferation in lung cancer cells.Next,we demonstrated that ferroptosis was the predominant method that contributed to curcumenol-induced cell death of lung cancer in vitro and vivo for the first time.Subsequently,using RNA sequencing,we found that the long non-coding RNA H19(lncRNA H19)was significantly downregulated in lung cancer cells treated with curcumenol,when compared to untreated controls.Overexpression of lncRNA H19 eliminated the anticancer effect of curcumenol,while lncRNA H19 knockdown promoted ferroptosis induced by curcumenol treatment.Mechanistically,we showed that lncRNA H19 functioned as a competing endogenous RNA to bind to miR-19b-3p,thereby enhanced the transcription activity of its endogenous target,ferritin heavy chain 1(FTH1),a marker of ferroptosis.In conclusion,our data show that the natural product curcumenol exerted its antitumor effects on lung cancer by triggering ferroptosis,and the lncRNA H19/miR-19b-3p/FTH1 axis plays an essential role in curcumenol-induced ferroptotic cell death.Therefore,our findings will hopefully provide a valuable drug for treating lung cancer patients.

Longitudinal proteomic investigation of cOVID-19 vaccination

Although the development of covID-19 vaccines has been a remarkable success,the heterogeneous individual antibody generation and decline over time are unknown and still hard to predict.In this study,blood samples were collected from 163 participants who next received two doses of an inactivated COvVID-19 vaccine(CoronaVac)at a 28-day interval.Using TMT-based proteomics,we identified 1,715 serum and 7,342 peripheral blood mononuclear cells(PBMCs)proteins.We proposed two sets of potential biomarkers(seven from serum,five from PBMCs)at baseline using machine learning,and predicted the individual seropositivity 57 days after vaccination(AUC=0.87).Based on the four PBMC's potential biomarkers,we predicted the antibody persistence until 180 days after vaccination(AUC=0.79).Our data highlighted characteristic hematological host responses,including altered lymphocyte migration regulation,neutrophil degranulation,and humoral immune response.This study proposed potential blood-derived protein biomarkers before vaccination for predicting heterogeneous antibody generation and decline after coVID-19 vaccination,shedding light on immunization mechanisms and individual booster shot planning.