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.

Two new type B polycyclic polyprenylated acylphloroglucinols (PPAPs) (1 and 2) and a known biogenetic precursor hyperbeanol Q (3) were isolated from the root extract of Hypericum beanii, a medicinal plant widespread in southwest China. Their chemical structures were elucidated by 1D/2D NMR and HRESIMS data analysis, and absolute configurations were determined through detailed electric circular dichroism (ECD) analysis including ECD exciton chirality, Mo

AIM:To investigate the clinical significance of stathmin 1 (STMN1) expression in cervical cancer and the influence of its expression on the viability and apoptosis of cervical cancer cells. METHODS:Western blot was used to detect the protein expression of STMN1 in cervical cancer tissues, and the relationship between the expression and clinical characteristics of cervical cancer was analyzed. STMN1-siRNA was transfected into cervical squamous-cell carcino-ma SiHa cells. The protein levels of STMN1, STAT3, p-STAT3 and survivin were determined by Western blot after trans-fection for 48 h. The cell viability was measured by MTT assay. The apoptosis was analyzed by flow cytometry. DCFH-DA probe was used to detect the level of reactive oxygen species (ROS). RESULTS:The protein expression of STMN1 in cer-vical cancer tissues was significantly higher than that in paracancerous tissues (P<0.01). The STMN1 protein expression level was not correlated with age and histological types of cervical cancer patients, but was related to clinical stage, histo-logical differentiation and lymph node metastasis ( P<0.01). Transfection with STMN1-siRNA significantly reduced the expression of STMN1 in SiHa cells. Compared with control group, the cell viability in STMN1-siRNA group was significant-ly decreased, the apoptotic rate and ROS content were increased, and the protein levels of p-STAT3 and survivin were down-regulated (P<0.01). However, no significant difference of the STAT3 protein level was observed between STMN1- siRNA group and control group. CONCLUSION:STMN1 is highly expressed in cervical cancer, and its expression is re-lated to clinical stage, histological differentiation and lymph node metastasis. Inhibition of STMN1 expression reduces the viability and promotes apoptosis of cancer cells by down-regulating STAT3 signaling pathway.

OBJECTIVETo compare the differences between weak ABO antigen patients and normal ABO antigen patients with acute leukemia, and to explore the clinical significance of weak ABO antigen in acute leukemia.

METHODSThe ABO blood group was detected in 110 newly diagnosed acute leukemia patients(including 68 cases of AML and 42 cases of ALL) and 68 normal controls. Then the leukemia subtype, age, sex, laboratory test, risk status of leukemia patients, and DNA methylation of ABO promoter were compared between patients with weak and normal ABO antigen.

RESULTSThe weak ABO antigen was found in patients with newly diagnosed acute leukemia, and was not found in ALL patients or normal group. No statistical differences were found in the distribution of ABO blood group, age, hepatosplenomegaly, lymphadenovarix, plt, precursor cell clusters derived from bone marrow, immunopheno-typing, LDH level, and risk status between AL patients of weak and normal ABO antigen groups (P>0.05). Compared with patients in normal ABO antigen group, the pateins in weak ABO antigen group had higher percentage of male(77.8% vs 30%), lower WBC(32.26×10/L vs 82.69×10/L) and Hb level(64.00 g/L vs 85.94 g/L) and higher DNA methylation level (18.91% vs 10.76%) (P<0.05).

CONCLUSIONThe cases of weak ABO antigen frequently appear in the male AML patients, the DNA methylation level of ABO gene promoter in patients with weak ABO antigen is significantly higher than that in patients with normal ABO antigen.

In this paper, the status of adjuvant standard for Chinese materia medica processing in the Chinese Pharmacopoeia 2015 edition, the National Specification of Chinese Materia Medica Processing, and the 29 provincial specification of Chinese materia medica was summarized, and the the status including general requirements, specific requirements, and quality standard in the three grade official specifications was collected and analyzed according to the "medicine-adjuvant homology" and "food-adjuvant homology" features of adjuvants. This paper also introduced the research situation of adjuvant standard for Chinese materia medica processing in China; In addition, analyzed and discussed the problems existing in the standard system of adjuvant for Chinese materia medica processing, such as lack of general requirements, low level of standard, inconsistent standard references, and lack of research on the standard, and provided suggestions for the further establishment of the national standards system of adjuvant for Chinese materia medica processing.

The efficacy of traditional Chinese medicine (TCM) treatments for Western medicine (WM) diseases relies heavily on the proper classification of patients into TCM syndrome types. The authors developed a data-driven method for solving the classification problem, where syndrome types were identified and quantified based on statistical patterns detected in unlabeled symptom survey data. The new method is a generalization of latent class analysis (LCA), which has been widely applied in WM research to solve a similar problem, i.e., to identify subtypes of a patient population in the absence of a gold standard. A well-known weakness of LCA is that it makes an unrealistically strong independence assumption. The authors relaxed the assumption by first detecting symptom co-occurrence patterns from survey data and used those statistical patterns instead of the symptoms as features for LCA. This new method consists of six steps: data collection, symptom co-occurrence pattern discovery, statistical pattern interpretation, syndrome identification, syndrome type identification and syndrome type classification. A software package called Lantern has been developed to support the application of the method. The method was illustrated using a data set on vascular mild cognitive impairment.
Data Collection ; Data Interpretation, Statistical ; Diagnosis, Differential ; Humans ; Medicine, Chinese Traditional

The aim of the present study is to explore the role of miR-124 and its promoter region DNA methylation in homocysteine (Hcy)-induced atherosclerosis. ApoE(-/-) mice were fed with hypermethionine diet for 16 weeks to duplicate hyperhomocysteinemia model. Meanwhile, a normal control group (C57BL/6J mice fed with normal diet, N-control) and a model control group (ApoE(-/-) mice fed with normal diet, A-control) were set. The degree of atherosclerosis was observed by HE and oil red O staining. Automatic biochemical analyzer was used to detect the serum levels of Hcy. Foam cell model was duplicated and oil red O staining was used to confirm whether the model was successfully established. And foam cells were stimulated with 0, 50, 100, 200, 500 μmol/L Hcy and 50 μmol/L Hcy + 10 μmol/L AZC respectively. Real-time quantitative PCR (RT-qPCR) was used to detect the expressions of miR-124 in mice aorta and foam cells; Nested landing methylation specific PCR (nMS-PCR) was used to detect the levels of miR-124 promoter DNA methylation in mice aorta and foam cells. Meanwhile, the effects of DNA methylation inhibitor AZC on miR-124 expression were observed at the cellular level. The effect of miR-124 promoter DNA methylation status on lipid accumulation in foam cells was observed by oil red O staining. The results showed that compared with model control group, the serum levels of Hcy in high methionine group were significantly increased (P < 0.01) and developed aortic atherosclerotic plaque, the expression of miR-124 was markedly decreased (P < 0.01), while the levels of miR-124 promoter DNA methylation were significantly increased (P < 0.01). Given different levels of Hcy, the expression of miR-124 in foam cells was decreased, while the levels of miR-124 promoter DNA methylation were increased in a dose-dependent manner (P < 0.05, P < 0.01). AZC reversed the results of mentioned indices as above markedly (P < 0.05). Downregulation of miR-124 may play a role in Hcy-induced atherosclerosis and its promoter DNA methylation status may be an important mechanism in this process.
Animals ; Aorta ; metabolism ; Apolipoproteins E ; Atherosclerosis ; chemically induced ; genetics ; DNA Methylation ; Diet ; Foam Cells ; metabolism ; Homocysteine ; adverse effects ; Hyperhomocysteinemia ; Mice ; Mice, Inbred C57BL ; Mice, Knockout ; MicroRNAs ; genetics ; Promoter Regions, Genetic

Objective: To explore effect of high glucose on expression of osteoprotegerin (OPG) and receptor activator of NF- κ B ligand (RANKE) in rat aortic vascular smooth muscle cells. Methods: SD rats were intraperitoneally injected with streptozotocin, OPG and RANKL expression in rat thoracic aortas were detected by immunohistochemical staining. In cultured vascular smooth muscle cells (VSMCs) (A7r5), qRT-PCR and Western blot analysis were used to examine the mRNA and protein levels of OPG and RANKL. Results: Our results demonstrated that OPG expression was increased in hyperglycemic rat aortic VSMCs, while RANKL expression was decreased. Besides, in vitro experiments high glucose induced OPG expression, but depressed RANKL expression by dose- and time-dependent manner in cultured A7r5. Conclusions: Our findings suggested that high glucose could promote the expression of OPG, and inhibit the expression of RANKL in VSMCs, which may be partly be the molecular mechanism of diabetic vascular calcification.

OBJECTIVETo investigate the association of single nucleotide polymorphisms (SNPs) in the interleukin 17 (IL-17) gene and serum protein levels in patients with chronic hepatitis C virus (HCV) infection.

METHODSA total of 228 patients with chronic HCV infection and 81 healthy controls were enrolled in the study. The frequencies of IL-17 rs8193036 and rs2275913 polymorphisms were detected by the TaqMan SNP genotyping assay. Serum levels of IL-17 protein were detected by ELISA. Pairwise comparisons were made by the Chi-square test, and the significance of between-group differences was assessed by the Student's t-test with P less than 0.05.

RESULTSThe patients with chronic HCV infection and the healthy controls showed similar frequencies of the rs8193036 C/T allele (x2 = 1.428, P = 0.232) and the rs2275913 A/G allele (x2 = 0.106, P = 0.744). In addition, the two groups showed similar distribution of the rs8193036 CC (chronic HCV infection: 46.49% vs. healthy controls: 41.98%), CT (45.61% vs. 44.44%) and TT (7.89% vs. 13.58%) genotypes (x2 = 2.346, P = 0.309), and of the rs2275913 AA (16.23% vs. 13.58%), AG (48.25% vs. 50.62%) and GG (35.53% vs. 35.80%) genotypes (x2 = 0.340, P = 0.844). Subgroup analysis of chronic HCV infection patients stratified according to HCV genotypes 1 and 2 showed no differences in the distribution of rs8193036 and rs2275913 alleles (x2 = 1.127, P = 0.288; x2 = 1.088, P = 0.297) and genotypes (x2 = 2.825, P = 0.246; x2 = 0.970, P = 0.616). However, the chronic HCV infection group did show significantly higher levels of serum IL-17 than the controls (97.67+/-39.68 vs. 71.60+/-19.78 pg/ml, t = 2.414, P = 0.033).

CONCLUSIONChronic HCV infection is associated with increased serum IL-17; however, the IL-17 polymorphisms rs8193036 and rs2275913 were not associated with chronic HCV infection susceptibility in this study's Chinese cohort.

Adolescent ; Adult ; Aged ; Alleles ; Case-Control Studies ; Genetic Predisposition to Disease ; Genotype ; Hepacivirus ; Hepatitis C, Chronic ; blood ; genetics ; virology ; Humans ; Interleukin-17 ; blood ; genetics ; Middle Aged ; Polymorphism, Single Nucleotide ; Young Adult