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.

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.

BACKGROUNDEndometrial carcinoma is one of the most common female tract genital malignant tumors. Nifedipine, an L-type calcium channel antagonist can inhibit cell proliferation of carcinomas. Recent studies indicated that a rise in the free cytosolic calcium ([Ca(2+)](c)) was a potent inducer of autophagy. Here, we investigated the relationship between nifedipine and autophagy in Hec-1A cells.

METHODSCells were cultured with nifedipine (10 µmol/L) and harvested at different times for counting cell number. MTT assay was applied to evaluate the cell viability and transwell assay to reveal cell migration. Apoptotic cells were detected with annexin V/PI assay. Then cells were treated with 3-methyladenine (3-MA) (2.5 mmol/L) for 0, 5, 15, 30, 60, and 120 minutes and the expression of the L-type calcium channel alpha1D (Cav1.3) protein was detected. At last, cells were cultured and assigned to four groups with different treatment: untreated (control group), 10 µmol/L nifedipine (N group), 2.5 mmol/L 3-MA (3-MA group), and 10 µmol/L nifedipine plus 2.5 mmol/L 3-MA (N+3MA group). Autophagy was detected with GFP-LC3 modulation by fluorescent microscopy, and expression of the autophagy-associated proteins (LC3, Beclin1 and P70s6K) by Western blotting and monodansylcadaverine (MDC) labeled visualization.

RESULTSProliferation of Hec-1A cells was obviously suppressed by nifedipine compared with that of the untreated cells for 24, 48, and 96 hours (P = 0.000 for each day). The suppression of migration ability of the nifedipine-treated cells (94.0 ± 8.2) was significantly different from that of the untreated cells (160.00 ± 9.50, P = 0.021). The level of early period cell apoptosis induced by nifedipine was (2.21 ± 0.19)%, which was (2.90 ± 0.13)% in control group (P = 0.052), whereas the late period apoptosis level reached (10.38 ± 0.96)% and (4.40 ± 0.60)% (P = 0.020), respectively. The 3-MA group induced a slight increase in the Cav1.3 levels within 15 minutes, but significantly attenuated the Cav1.3 levels after 30 minutes. There were more autophagic vacuoles labeled by MDC in the N group (20.63 ± 3.36) than the control group (6.29 ± 0.16, P = 0.015). GFP-LC3 localization revealed that the LC3 levels of cells in 3-MA group, N+3MA group, 3-MA group were 2.80 ± 0.29, 2.30 ± 0.17, and 1.80 ± 0.21, respectively. Cells in the N group showed significant augmentation of autophagy (P < 0.05). Western blotting analysis confirmed the down-regulation of LC3 levels in 3-MA group (0.85 ± 0.21) and N+3MA group (1.21 ± 0.12) compared with nifedipine treatment (2.64 ± 0.15, P < 0.05). The annexin-V-FITC/PI assay showed that the level of early period cell apoptosis induced in the N+3-MA group ((11.22 ± 0.91)%) differed significantly from that of the control group ((2.51 ± 0.70)%) and N group ((3.47 ± 0.39)%). Similarly, the late period level of the N+3-MA group ((55.19 ± 2.51)%) differed significantly from that of the control group ((15.81 ± 1.36)%) and the N group ((22.09 ± 2.48)%, P < 0.05). The down-regulated expression of P70s6k and up-regulated expression of the Beclin1 revealed significant differences between the N+3-MA group and control group (P = 0.025; Beclin1: P = 0.015).

CONCLUSIONSProliferation and migration in vitro of endometrial carcinoma Hec-1A cells are significantly suppressed by nifedipine. The nifedipine leads autophagy to oppose Hec-1A cells apoptosis. Autophagy inhibition by 3-MA leads down-regulation of Cav1.3 and enhances nifedipine-induced cell death. The nifedipine-induced autophagy is linked to Beclin1 and mTOR pathways.

Adenine ; analogs & derivatives ; pharmacology ; Apoptosis Regulatory Proteins ; physiology ; Autophagy ; drug effects ; Beclin-1 ; Calcium ; metabolism ; Calcium Channel Blockers ; pharmacology ; Calcium Channels, L-Type ; physiology ; Cell Line, Tumor ; Endometrial Neoplasms ; drug therapy ; pathology ; Female ; Humans ; Membrane Proteins ; physiology ; Nifedipine ; pharmacology ; Signal Transduction ; physiology ; TOR Serine-Threonine Kinases ; physiology

OBJECTIVETo investigate the effect of baicalin on liver fatty acid binding protein in oxidative stress model in vitro.

METHODS(1) Cellular oxidative stress in vitro was induced by incubating cells with 400μmol/L hydrogen peroxide (H₂O₂) for 20 minutes at 37 degrees C in the dark. After Chang liver cell line was treated with different dose of baicalin for 24, 48 and 72 hours. MTT assay was employed to detect cell viability, and then the hydrogen peroxide (TC50) of the different dose of baicalin was calculated. (2) Based on MTT assay, cells were treated with three different doses of baicalin (25, 50, 100 μmol/L) for 24 and 48 hours before being exposed to 400 μmol/L H₂O₂ for 20 minutes at 37 degrees C. Then, reactive oxygen species (ROS) assay and activity assays of superoxide dismutase (SOD) and reduced glutathione hormone (GSH) were evaluated. (3) Realtime PCR and Western blotting were applied to explore the influence of baicalin on the expression level of L-FABP. (4) One-way ANOVA was used for results statistical analysis.

RESULT(1) MTT assay showed baicalin treatment at 25, 50, 100 μmol/L for 24 and 48 hours was feasible (83.60% ± 3.47%, 72.36% ± 2.18%, 70.16% ± 2.04% for 24 hours; 84.93% ± 3.11%, 76.16% ± 2.45%, 72.72% ± 2.31% for 48 hours, P > 0.05, F = 386.24, 475.92 respectively). Meanwhile, we found by the linear regression model that the median toxic concentration of baicalin for 48 hours was 170.6 μmol/L, and the median toxic concentration of baicalin for 24 hours was 153.2 μmol/L. (2) ROS assay showed dichlorofluorescin in all baicalin-treated cells after stress was significantly reduced (37.0 ± 3.30, 22.90 ± 3.84, 29.60 ± 2.52 for 24 hours respectively, P < 0.05, F = 70.06; 35.77 ± 2.35, 21.80 ± 3.10, 23.87 ± 1.98 for 48 hours respectively, P < 0.05, F = 110.92) as compared with the H₂O₂-treated cells. Moreover, 50 μmol/L baicalin treatment for 48 hours was the optimal condition against ROS generation (21.80 ± 3.10, P < 0.01, F = 110.92). Furthermore, the activities of intracellular SOD and GSH was increased significantly (51.53 ± 1.91 μg/mg for SOD, P < 0.05, F = 93.81; 49.85 ± 1.45 U/mg for GSH, P < 0.05, F = 92.51). (3) Although realtime PCR analysis indicated 50 μmol/L baicalin treatment for 48 hours could have no changes of the level of L-FABP expression under the oxidative stress condition, western blotting analysis indicated 50 μmol/L baicalin treatment for 48 hours could increase up to about 80% for the level of L-FABP expression.

CONCLUSIONBaicalin was suggested to be able to enhance both L-FABP expression and activity of intracellular SOD and GSH, and therefore protected hepatocytes from oxidative stress.

Catalase ; metabolism ; Cell Line ; Fatty Acid-Binding Proteins ; metabolism ; Flavonoids ; pharmacology ; Glutathione ; metabolism ; Glutathione Peroxidase ; metabolism ; Hepatocytes ; metabolism ; Humans ; Hydrogen Peroxide ; Oxidative Stress ; drug effects ; Reactive Oxygen Species ; metabolism ; Superoxide Dismutase ; metabolism