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.

Aprocitentan is a dual endothelin receptor antagonist.Based on the effective evidence of Ⅲ phases of clinical trials,the drug was approved for marketing by the U.S.Food and Drug Administration on March 19,2024 for the treatment of refractory hypertension.At present,multiple clinical studies have confirmed that Aprocitentan has excellent antihypertensive effects and good tolerability.This article reviews the pharmacological effects,preclinical.

OBJECTIVE: To investigate the efficacy and safety of plerixafor combined with granulocyte colony-stimulating factor (G-CSF) in mobilizing peripheral blood hematopoietic stem cells in patients with lymphoma. METHODS: The clinical data of lymphoma patients who received autologous hematopoietic stem cell mobilization using plerixafor combined with G-CSF from January 2019 to December 2021 were retrospectively analyzed. The patients received 3 kinds of mobilization regimens: front-line steady-state mobilization, preemptive intervention, and recuse mobilization. The acquisition success rate, excellent rate of collection, and incidence of treatment-related adverse reaction were counted. The influence of sex, age, disease remission status, bone marrow involvement at diagnosis, chemotherapy lines, number of chemotherapy, platelet count and number of CD34⁺ cells on the day before acquisition in peripheral blood on the collection results were analyzed to identify the risk factors associated with poor stem cell collection. RESULTS: A total of 43 patients with lymphoma were enrolled, including 7 cases who received front-line steady-state mobilization, 19 cases who received preemptive intervention, and 17 cases who received recuse mobilization. The overall acquisition success rate was 58.1% (25/43) after use of plerixafor combined with G-CSF, and acquisition success rate of front-line steady-state mobilization, preemptive intervention, and recuse mobilization was 100%, 57.9%(11/19), and 41.2%(7/17), respectively. The excellent rate of collection was 18.6%(8/43). A total of 15 patients experienced mild to moderate treatment-related adverse reactions. The number of CD34⁺ cells < 5 cells/μl in peripheral blood on the day before collection was an independent risk factor affecting stem cell collection. CONCLUSIONS Plerixafor combined with G-CSF is a safe and effective mobilization regimen for patients with lymphoma. The number of CD34⁺ cells in peripheral blood on the day before collection is an predictable index for the evaluation of stem cell collection.
Humans ; Antigens, CD34/metabolism* ; Granulocyte Colony-Stimulating Factor/therapeutic use* ; Hematopoietic Stem Cell Mobilization/methods* ; Hematopoietic Stem Cell Transplantation ; Heterocyclic Compounds/therapeutic use* ; Lymphoma/drug therapy* ; Multiple Myeloma/drug therapy* ; Retrospective Studies ; Transplantation, Autologous

Objective To study the effect and mechanism of berberine (BBR) on the lung metastasis of mouse breast cancer via epithelial-mesenchymal transition (EMT). Methods CCK-8 and Transwell migration assays were utilized to investigate the proliferation and migration properties of breast cancer 4T1 cells after BBR treatment.Mouse 4T1-Luc cells were injected into mice under the fourth mammary fat pad, and the mice were then randomly divided into the control and BBR groups.The mice in the BBR group received daily intraperitoneal injections of BBR working solution and those in the control group were continuously intraperitoneally injected with the same volume of the solvent used to dissolve BBR powder.Tumor metastasis in the lungs of living mice was detected by using an in vivo imaging system.After 42 days of administration, lung metastasis was measured via microscopy and HE staining.Western blot analysis was used to examine the effects of BBR on the expression of EMT-related proteins (Vimentin and Snail) as well as the activation of the Akt and ERK signaling pathways. Results BBR significantly promoted 4T1 cell migration (P < 0.05).In vivo experiments showed that the number of lung metastases in the BBR group had significantly increased compared with that in control group (P < 0.05) as observed under microcopy and histological staining.Compared with the control group, BBR upregulated the expression levels of Vimentin and Snail as well as the phosphorylated levels of p-Akt and p-ERK (P < 0.05). Conclusion BBR may promote EMT and lung metastasis of breast cancer 4T1 cells by activating the expression of proteins in the p-Akt and p-ERK pathways.

UHPLC-Q-TOF/MS metabonomics technology was used to clarify the metabolic regulation pathways by which Platycodon total saponins (PTS) exert antitussive and expectorant effects in a mouse cough model, in which coughing is induced by concentrated ammonia, and in a phenol red excretion model. After approval by the Experimental Animal Ethics Committee of Jiangxi University of Chinese Medicine (Approval No. JZLLSC-20190235), the mice were randomly divided into a normal group, a model group, a positive drug group and a PTS group. Endogenous metabolites in mouse serum were identified by UHPLC-Q-TOF/MS. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used for multivariate analysis. Metabolic pathways were analyzed by the Metaboanalyst platform. The results show that PTS can significantly prolong the cough latent period and cough frequency of mice, and significantly increase phenol red excretion. UHPLC-Q-TOF/MS identified 19 metabolites related to cough, and PTS significantly decreased 16 of them; 17 metabolites related to expectoration were identified, and PTS decreased the levels of all. Metabolic pathway analysis showed that linoleic acid metabolism, arachidonic acid metabolism and glycerophospholipid metabolism were the main pathways involved in serum metabolite changes in this mouse cough model. Linoleic acid metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, arachidonic acid metabolism, phenylalanine metabolism and α-linolenic acid metabolism were the main pathways involved in serum metabolite changes in the phenol red excretion model. This study is the first to elucidate the regulation of antitussive and expectorant metabolic pathways and the effect of PTS on these pathways.

Objective:To compare the effects of different processing techniques on the chemical constituents of Aurantii Fructus for screening the dominant decoction pieces. Method:UPLC-Q/TOF-MS was used to detect the chemical constituents of Aurantii Fructus, chromatography separation was achieved on an ACQUITY UPLC BEH C₁₈ column (2.1 mm×100 mm, 1.7 μm), and gradient elution was performed with 0.1% formic acid aqueous solution (A)-0.1% formic acid acetonitrile solution (B) as mobile phase (0-10 min, 5%-35%B; 10-18 min, 35%-75%B; 18-21 min, 75%-100%B; 21-24 min, 100%B; 24-24.1 min, 100%-5%B; 24.1-28 min, 5%B). Data acquisition was carried out in electrospray ionization (ESI) under the positive ion mode, the scanning range was m/z 50-1 200. The chemical constituents in methanol extract of Aurantii Fructus were identified according to reference substance, relative molecular weight, mass spectrometric cleavage rule and literature information. SIMCA-P 13.0 software was used to establish principal component analysis (PCA) model and partial least squares-discriminant analysis (PLS-DA) model of Aurantii Fructus processed products, PCA score plot, PLS-DA loading plot and variable importance in the protection (VIP) values were obtained to screen the material basis for the main differences before and after processing of Aurantii Fructus. Result:A total of 54 chemical components were identified by UPLC-Q/TOF-MS. PCA indicated that there were significant differences among different groups of Aurantii Fructus processed by different methods. A total of 14 chemical components with VIP value >1 were screened by PLS-DA as the main chemical markers for the differences before and after processing, including hesperidin, poncirin, narirutin, etc. The comprehensive weighted score showed that the content of effective components in Aurantii Fructus processed with honey bran was the highest. Conclusion:The contents of chemical constituents in Aurantii Fructus before and after processing are significantly changed. Flavonoids are the most important compounds to distinguish different processed products of Aurantii Fructus. Aurantii Fructus processed with honey bran is the dominant variety.