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.

Objective:To explore the impact of negative perfectionism on academic procrastination, as well as the mediating role of anxiety and the moderating role of negative cognitive emotion regulation strategies.Methods:In December 2022, a cross-sectional survey was conducted on 4 178 students from a medical college in Heilongjiang Province. The Zi negative perfectionism questionnaire, procrastination assessment scale-student, generalized anxiety disorder-7, and cognitive emotion regulation questionnaire were used to conduct the questionnaire survey, and 4 004 valid questionnaires were recovered. SPSS 26.0 statistical software was used for common method deviation test, descriptive statistics and correlation analysis, PROCESS macro program was used for mediation and moderation effect analysis.Results:(1) The scores of nursing students' negative perfectionism, anxiety, negative cognitive emotion regulation strategy, and academic procrastination were (120.48±23.40), (12.75±5.36), (44.82±11.20), and (42.95±14.30), respectively. (2) Negative perfectionism was positively correlated with anxiety ( r=0.311, P<0.01) and academic procrastination ( r=0.113, P<0.01). Academic procrastination was positively correlated with anxiety ( r=0.190, P<0.01) and negative cognitive emotion regulation strategies ( r=0.260, P<0.01). (3) Anxiety played a partially mediating role between negative perfectionism and academic procrastination, with direct effect and mediating effect accounting for 49.11% (0.055/0.112) and 50.89% (0.057/0.112) of the total effect, respectively. (4) The effect of negative perfectionism on anxiety was moderated by negative cognitive emotions, and the predictive effect of negative perfectionism on anxiety was stronger in nursing college students with high negative cognitive emotion ( β=0.231, P<0.001). Conclusion:Among nursing college students, negative perfectionism can predict academic procrastination through anxiety, and cognitive emotion regulation strategies moderate the predictive effect of negative perfectionism on anxiety.

Objective:To explore the impact of negative perfectionism on academic procrastination, as well as the mediating role of anxiety and the moderating role of negative cognitive emotion regulation strategies.Methods:In December 2022, a cross-sectional survey was conducted on 4 178 students from a medical college in Heilongjiang Province. The Zi negative perfectionism questionnaire, procrastination assessment scale-student, generalized anxiety disorder-7, and cognitive emotion regulation questionnaire were used to conduct the questionnaire survey, and 4 004 valid questionnaires were recovered. SPSS 26.0 statistical software was used for common method deviation test, descriptive statistics and correlation analysis, PROCESS macro program was used for mediation and moderation effect analysis.Results:(1) The scores of nursing students' negative perfectionism, anxiety, negative cognitive emotion regulation strategy, and academic procrastination were (120.48±23.40), (12.75±5.36), (44.82±11.20), and (42.95±14.30), respectively. (2) Negative perfectionism was positively correlated with anxiety ( r=0.311, P<0.01) and academic procrastination ( r=0.113, P<0.01). Academic procrastination was positively correlated with anxiety ( r=0.190, P<0.01) and negative cognitive emotion regulation strategies ( r=0.260, P<0.01). (3) Anxiety played a partially mediating role between negative perfectionism and academic procrastination, with direct effect and mediating effect accounting for 49.11% (0.055/0.112) and 50.89% (0.057/0.112) of the total effect, respectively. (4) The effect of negative perfectionism on anxiety was moderated by negative cognitive emotions, and the predictive effect of negative perfectionism on anxiety was stronger in nursing college students with high negative cognitive emotion ( β=0.231, P<0.001). Conclusion:Among nursing college students, negative perfectionism can predict academic procrastination through anxiety, and cognitive emotion regulation strategies moderate the predictive effect of negative perfectionism on anxiety.

Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.

Objective: SET8 is a member of the SET domain-containing family and the only known lysine methyltransferase (KMT) that monomethylates lysine 20 of histone H4 (H4K20me1). SET8 has been implicated in many essential cellular processes, including cell cycle regulation, DNA replication, DNA damage response, and carcinogenesis. There is no conclusive evidence, however, regarding the effect of SET8 on radiotherapy. In the current study we determined the efficacy of SET8 inhibition on radiotherapy of tumors and the underlying mechanism. Methods: First, we explored the radiotherapy benefit of the SET8 expression signature by analyzing clinical data. Then, we measured a series of biological endpoints, including the xenograft tumor growth in mice and apoptosis, frequency of micronuclei, and foci of 53BP1 and γ-H2AX in cells to detect the SET8 effects on radiosensitivity. RNA sequencing and subsequent experiments were exploited to verify the mechanism underlying the SET8 effects on radiotherapy. Results: Low expression of SET8 predicted a better benefit to radiotherapy in lung adenocarcinoma (LUAD) and invasive breast carcinoma (BRCA) patients. Furthermore, genetic deletion of SET8 significantly enhanced radiation treatment efficacy in a murine tumor model, and A549 and MCF7 cells; SET8 overexpression decreased the radiosensitivity. SET8 inhibition induced more apoptosis, the frequency of micronuclei, and blocked the kinetics process of DNA damage repair as 53BP1 and γ-H2AX foci remained in cells. Moreover, RNF8 was positively correlated with the SET8 impact on DNA damage repair. Conclusion Our results demonstrated that SET8 inhibition enhanced radiosensitivity by suppressing DNA damage repair, thus suggesting that SET8 potentiated radiotherapy of carcinomas. As new inhibitors of SET8 are synthesized and tested in preclinical and clinical settings, combining SET8 inhibitors with radiation warrants consideration for precise radiotherapy.
Animals ; Apoptosis ; Carcinogenesis ; Carcinoma/radiotherapy* ; Cell Cycle ; Cell Line, Tumor ; DNA Damage ; DNA Replication ; HeLa Cells ; Histone-Lysine N-Methyltransferase ; Humans ; Mice ; Radiotherapy

OBJECTIVES: To study the metabolic mechanism of neonatal sepsis at different stages by analyzing the metabolic pathways involving the serum metabolites with significant differences in neonates with sepsis at different time points after admission. METHODS: A total of 20 neonates with sepsis who were hospitalized in the Department of Neonatology, Hunan Provincial People's Hospital, from January 1, 2019 to January 1, 2020 were enrolled as the sepsis group. Venous blood samples were collected on days 1, 4, and 7 after admission. Ten healthy neonates who underwent physical examination during the same period were enrolled as the control group. Ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry was used for the metabonomic analysis of serum samples to investigate the change in metabolomics in neonates with sepsis at different time points. RESULTS: On day 1 after admission, the differentially expressed serum metabolites between the sepsis and control groups were mainly involved in the biosynthesis of terpenoid skeleton. For the sepsis group, the differentially expressed serum metabolites between days 1 and 4 after admission were mainly involved in pyruvate metabolism, and those between days 4 and 7 after admission were mainly involved in the metabolism of cysteine and methionine. The differentially expressed serum metabolites between days 1 and 7 after admission were mainly involved in ascorbic acid metabolism. CONCLUSIONS The metabolic mechanism of serum metabolites varies at different stages in neonates with sepsis and is mainly associated with terpenoid skeleton biosynthesis, pyruvate metabolism, cysteine/methionine metabolism, and ascorbic acid metabolism.
Ascorbic Acid ; Cysteine ; Humans ; Infant, Newborn ; Metabolomics ; Methionine ; Neonatal Sepsis ; Pyruvates ; Sepsis

Objective: To obtain precise data on the changes in the levels of 29 cytokines in mice after high or low linear energy transfer (LET) irradiation and to develop an accurate model of radiation exposure based on the cytokine levels after irradiation. Methods: Plasma samples harvested from mice at different time points after carbon-ion or X-ray irradiation were analyzed using meso-scale discovery (MSD), a high-throughput and sensitive electrochemiluminescence measurement technique. Dose estimation equations were set up using multiple linear regression analysis. Results: The relative levels of IL-6 at 1 h, IL-5 and IL-6 at 24 h, and IL-5, IL-6 and IL-15 at 7 d after irradiation with two intensities increased dose-dependently. The minimum measured levels of IL-5, IL-6 and IL-15 were up to 4.0076 pg/mL, 16.4538 pg/mL and 0.4150 pg/mL, respectively. In addition, dose estimation models were established and verified. Conclusions The MSD assay can provide more accurate data regarding the changes in the levels of the cytokines IL-5, IL-6 and IL-15. These cytokines could meet the essential criteria for radiosensitive biomarkers and can be used as radiation indicators. Our prediction models can conveniently and accurately estimate the exposure dose in irradiated organism.
Animals ; Biological Assay ; Biomarkers/blood* ; Carbon ; Cytokines/blood* ; Female ; Heavy Ions ; Linear Energy Transfer ; Linear Models ; Mice ; Radiation Dosage ; Radiation, Ionizing

OBJECTIVE: Epstein-Barr virus associated gastric cancer (EBVaGC) is different from the traditional gastric cancer (Epstein-Barr virus non-associated gastric cancer, EBVnGC), and has unique clinicopathological features. This study investigated the largest single center cancer series so as to establish the clinicopathological and molecular characteristics of EBVaGC in China. METHODS: A retrospective analysis was conducted on EBVaGC and EBVnGC patients diagnosed at Peking University Cancer Hospital from 2003 to 2018 by comparing their clinicopathological features and prognosis. The gastric cancer (GC) dataset of public database was analyzed to obtain differentially expressed genes. The expression of important genes and their association with prognosis of GC were verified in GC tissues from our hospital. RESULTS: In this study, 3 241 GC patients were included, and a total of 163 EBVaGC (5.0%) patients were identified. Compared with EBVnGC, EBVaGC was higher in male and younger patients, and positively associated with remnant GC, poorly differentiated adenocarcinoma, and mixed type GC. EBVaGC was inversely related to lymph node metastasis. The 5-year survival rate of EBVnGC and EBVaGC was 59.6% and 63.2% respectively (P<0.05). In order to explore molecular features of EBVaGC, the Cancer Genome Atlas (TCGA) dataset was analyzed (n=240), and 7 404 significant differentially expressed genes were obtained, involving cell proliferation, apoptosis, invasion and metastasis. The down-regulated invasion/metastasis gene SALL4 and the up-regulated immune checkpoint gene PD-L1 were important molecular features of EBVaGC. Validation of these two genes in large GC series showed that the majority of the EBVaGC was SALL4 negative (1/92, 1.1%, lower than EBVnGC, 303/1 727, 17.5%), and that PD-L1 was mostly positive in EBVaGC (81/110, 73.6%, higher than EBVnGC, 649/2 350, 27.6%). GC patients with SALL4 negative and PD-L1 positive were often associated with better prognosis. CONCLUSION EBVaGC is a unique subtype of GC with less metastasis and a good prognosis. It also has a distinct molecular background. The down-regulation of invasion/metastasis gene SALL4 and up-regulation of immune checkpoint gene PD-L1 are important molecular features.
China ; Epstein-Barr Virus Infections/complications* ; Female ; Herpesvirus 4, Human ; Humans ; Male ; Retrospective Studies ; Stomach Neoplasms/etiology*

There is still a need for better protection against or mitigation of the effects of ionizing radiation following conventional radiotherapy or accidental exposure. The objective of our current study was to investigate the possible roles of matrix metalloproteinase inhibitor, ilomastat, in the protection of mice from total body radiation (TBI), and the underlying protective mechanisms. Ilomastat treatment increased the survival of mice after TBI. Ilomastat pretreatment promoted recovery of hematological and immunological cells in mice after 6 Gy γ-ray TBI. Our findings suggest the potential of ilomastat to protect against or mitigate the effects of radiation.
Acute Radiation Syndrome ; blood ; immunology ; prevention & control ; Animals ; Blood Cells ; drug effects ; radiation effects ; Dose-Response Relationship, Drug ; Gamma Rays ; adverse effects ; Hydroxamic Acids ; therapeutic use ; Indoles ; therapeutic use ; Matrix Metalloproteinase Inhibitors ; therapeutic use ; Mice ; Radiation Injuries, Experimental ; blood ; immunology ; prevention & control ; Radiation-Protective Agents ; therapeutic use ; Spleen ; drug effects ; immunology ; radiation effects ; Survival Analysis ; Whole-Body Irradiation