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 investigate plasma protein expression changes in heatstroke patients using proteomics technology and to identify reliable prognostic biomarkers.Methods A retrospective analysis was conducted on 20 heatstroke patients hospitalized at the 908th Hospital of the Chinese PLA Joint Logistics Support Force from July 2022 to February 2024.Patients were divided into survival(n=16)and death groups(n=4)based on 28-day outcomes.Fasting venous blood samples were collected from both groups for proteomic analysis.Liquid chromatography-mass spectrometry(LC-MS/MS)was used to identify and screen differentially expressed proteins.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed.LASSO regression was applied to screen key prognostic biomarkers,and receiver operating characteristic(ROC)curve analysis was used to evaluate their predictive value.Results A total of 27 upregulated and 90 downregulated proteins were identified between the two groups.These proteins were primarily involved in biological processes such as immune responses,complement activation,and metabolic processes.LASSO regression analysis indicated that actin-related protein 2(ARP2),cysteine-rich scavenger receptor type 1 M130(CD163),and catalase(CAT)could serve as effective biomarkers for evaluating heatstroke prognosis.ROC curve analysis demonstrated that ARP2 had higher diagnostic efficacy(AUC=0.98,sensitivity=0.80,specificity=1.00)compared to CD163(AUC=0.94,sensitivity=0.76,specificity=1.00),CAT(AUC=0.96,sensitivity=0.67,specificity=1.00),and acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(AUC=0.79,sensitivity=0.44,specificity=1.00).Conclusion Elevated plasma ARP2 level has good clinical value for predicting poor prognosis in heatstroke patients.

Ovarian cancer,as one of the three major malignant tumors in gynecology,has a relatively high mortality rate.Traditional adjuvant chemotherapy has failed to significantly improve the survival rate of patients in the advanced stage due to its high drug resistance.Therefore,new treatment methods are urgently needed to improve the survival rate of patients.Cuproposis is a newly proposed form of cell death,which is caused by the accumulation of lipoylated protein and the loss of Fe-S cluster protein by copper overload,and it is expected to be a new treatment method for ovarian cancer to improve the prognosis of patients.Previous studies have shown that cuproptosis related genes are differentially expressed in ovarian cancer,which can guide personalized immunotherapy and participate in chemotherapy resistance.This article will review the correlation between the mechanisms related to cuproptosis and ovarian cancer,and explore whether it can provide new ideas for the treatment of ovarian cancer in the future.

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 investigate the possible association between cross-domain associative memory(AM)impairment and hippocampal subfield volumes in patients with schizophrenia(SCZ).Methods We enrolled 28 SCZ patients from Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,and 28 healthy controls(HCs)between 2019 and 2021.Based on an innovative AM paradigm and automated segmentation,3D-T1 weighted data of the objects were processed with PhiPipe and FreeSurfer.Differences in subfield volums between the two groups were analyzed using ANCOVA,while their relationship with AM scores was assessed using Pearson correlation.Results SCZ patients exhibited significantly poorer AM performance across three conditions compared with HCs.Marginally significant reductions were observed in the total volume of bilateral hippocampus,encompassing both the hippocampal head and body.Significant volume reductions were identified in the bilateral presubiculum and parasubiculum.The volumes of bilateral presubiculum head(r=0.273,P=0.042),parasubiculum(r=0.397,P=0.002),and CA1 head(r=0.382,P=0.004)exhibited positive correlations with cross-domain AM performance.Conclusion The bilateral presubiculum and parasubiculum,as hippocampal subregions significantly associated with cross-modal AM deficits in SCZ,may play a crucial role in the pathology of AM.

Ovarian cancer,as one of the three major malignant tumors in gynecology,has a relatively high mortality rate.Traditional adjuvant chemotherapy has failed to significantly improve the survival rate of patients in the advanced stage due to its high drug resistance.Therefore,new treatment methods are urgently needed to improve the survival rate of patients.Cuproposis is a newly proposed form of cell death,which is caused by the accumulation of lipoylated protein and the loss of Fe-S cluster protein by copper overload,and it is expected to be a new treatment method for ovarian cancer to improve the prognosis of patients.Previous studies have shown that cuproptosis related genes are differentially expressed in ovarian cancer,which can guide personalized immunotherapy and participate in chemotherapy resistance.This article will review the correlation between the mechanisms related to cuproptosis and ovarian cancer,and explore whether it can provide new ideas for the treatment of ovarian cancer in the future.

Objective To investigate the possible association between cross-domain associative memory(AM)impairment and hippocampal subfield volumes in patients with schizophrenia(SCZ).Methods We enrolled 28 SCZ patients from Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,and 28 healthy controls(HCs)between 2019 and 2021.Based on an innovative AM paradigm and automated segmentation,3D-T1 weighted data of the objects were processed with PhiPipe and FreeSurfer.Differences in subfield volums between the two groups were analyzed using ANCOVA,while their relationship with AM scores was assessed using Pearson correlation.Results SCZ patients exhibited significantly poorer AM performance across three conditions compared with HCs.Marginally significant reductions were observed in the total volume of bilateral hippocampus,encompassing both the hippocampal head and body.Significant volume reductions were identified in the bilateral presubiculum and parasubiculum.The volumes of bilateral presubiculum head(r=0.273,P=0.042),parasubiculum(r=0.397,P=0.002),and CA1 head(r=0.382,P=0.004)exhibited positive correlations with cross-domain AM performance.Conclusion The bilateral presubiculum and parasubiculum,as hippocampal subregions significantly associated with cross-modal AM deficits in SCZ,may play a crucial role in the pathology of AM.

PI3Kγ and PI3Kδ have important regulatory roles in the immune system, and targeting these two subtypes helps to reshape the tumor microenvironment. PI3Kγ and PI3Kδ are potential targets for tumor immunotherapy. In this study, a series of new pyrazolopyrimidine derivatives were designed and synthesized on the basis of our previously reported PI3K inhibitors, resulting in the discovery of compound 16l as a potent and selective PI3Kγ/δ dual inhibitor. Compound 16l demonstrated strong biochemical potencies against PI3Kγ and PI3Kδ with IC₅₀ values of 0.11 and 0.79 nmol·L^-1. In cell-based assays, it potently inhibited the PI3Kγ and PI3Kδ mediated Akt S473 phosphorylation with EC₅₀ values of 3 and 7 nmol·L^-1. In vivo, compound 16l exhibited acceptable pharmacokinetic properties in Sprague-Dawley (SD) rats and suppressed the tumor growth in a MC38 syngeneic mouse model. The animal experiments were approved by the Animal Ethics Committee of Hefei Institutes of Physical Science, Chinese Academy of Sciences (approval number: DWLL-2000-06). In addition, no appreciable human ether-a-go-go-related gene (hERG) inhibition was observed for compound 16l even at 30 μmol·L^-1. These results suggested that compound 16l might be a potential research tool for studying the PI3Kγ/δ mediated signaling pathways.

Ovarian cancer has become the most lethal gynecological tumor due to the difficulty in early diagnosis,the late stage when diagnosed and the high recurrence rate.Resistance to platinum-based anti-tumor chemotherapy drugs is an important reason for the poor prognosis of ovarian cancer.circular RNA(circRNA)is more stable than mRNA in cells due to its special structure,and it is involved in the regulation of the occurrence,development and chemotherapy resistance of a variety of tumors.circRNA can be used as a competing endogenous RNA(ceRNA)of miRNA to bind to proteins,and regulates the phenotypic polarization of macrophages,it can also be used as an exosomal circRNA to regulate the sensitivity of platinum resistance in ovarian cancer.circRNA is expected to be a new marker of platinum resistance and a new target for the treatment of platinum resistance.In order to further explore the relationship between circRNA and platinum resistance in ovarian cancer,this article summarizes the recent literature related to circRNA and platinum resistance in ovarian cancer.

Objective To investigate the biological function and main molecular mechanism of long noncoding RNA RMRP(lncRNA RMRP)in endometrial carcinoma.Methods The specimens of carcinoma tissues and adjacent tissues of 30 patients with endometrial carcinoma who received surgical treatment in our hospital were collected.RT-qPCR was used to detect the expression of lncRNA RMRP in endometrial carcinoma tissues and adjacent tissues,and HESC cells and HEC-1-A cells.The endometrial carcinoma cell line HEC-1-A was cultured in vitro,and the Vector,pcDNA-RMRP,NC-siRNA,RMRP-siRNA,NC mimic,miR-580-3p mimic,pcDNA-RMRP+NC mimic,pcDNA-RMRP+ miR-580-3p mimic,RMRP-siRNA+Vector,RMRP-siRNA+pcDNA-JAK2,NC inhibitor,and miR-580-3p inhibitor were transfected into HEC-1-A cells as the Vector group,the pcDNA-RMRP group,the NC-siRNA group,the RMRP-siRNA group,the NC mimic group,the miR-580-3p mimic group,the pcDNA-RMRP+NC mimic group,the pcDNA-RMRP+miR-580-3p mimic group,the RMRP siRNA+Vector group,the RMRP-siRNA+pcDNA-JAK2 group,the NC inhibitor group,and the miR-580-3p inhibitor group respectively.RT-qPCR was used to detect the expression of lncRNA RMRP and miR-580-3p in cells.CCK-8 was used to detect cell proliferation rate.The apoptosis rate was detected by flow cytometry analysis.Bioinformatics software and dual luciferase reporter gene experiment were used to predict and verify the targeted relationships between miR-580-3p and lncRNA RMRP,as well as miR-580-3p and JAK2.Western blot was used to detect the protein expression of JAK/STAT signaling pathway.Results Compared with adjacent tissues,lncRNA RMRP was highly expressed in endometrial carcinoma tissues(P<0.05).Compared with HESC cells,the expression of lncRNA RMRP in HEC-1-A cells was significantly increased(P<0.05).pcDNA-RMRP significantly promoted cell proliferation and inhibited cell apoptosis,while RMRP-siRNA significantly inhibited cell proliferation and promoted cell apoptosis,with statistically significant diferences(P<0.05).miR-580-3p was the downstream target miRNA of lncRNA RMRP,and lncRNA RMRP could negatively regulate the expression of miR-580-3p.JAK2 was the downstream target gene of miR-580-3p,and miR-580-3p could negatively regulate the expression of JAK2 protein.pcDNA-RMRP significantly increased the protein levels of JAK2,p-JAK2 and p-STAT3 in the cells,while co-transfection of pcDNA-RMRP and miR-580-3p mimic significantly decreased the protein levels of JAK2,p-JAK2 and p-STAT3,with statistically significant diferences(P<0.05).RMRP-siRNA could signifi-cantly reduce the protein levels of JAK2,p-JAK2 and p-STAT3 in cells.After co-transfection of RMRP-siRNA and pcDNA-JAK2,the protein levels of JAK2,p-JAK2 and p-STAT3 were significantly increased,with statistically significant diferences(P<0.05).In addition,co-transfection of RMRP-siRNA and pcDNA-JAK2 increased cell proliferation and decreased cell apoptosis,with statistically significant diferences(P<0.05).Conclusion Knockdown of lncRNA RMRP could inhibit endometrial carcinoma cell proliferation and promote cell apoptosis by regulating JAK2/STAT3 signaling pathway,which might be a potential therapeutic target for endometrial carcinoma.