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.

Targeted protein degradation via nanoparticle-based universal strategy modifies nanoparticles with antibodies and ingeniously utilizes its cellular transport characteristics. This strategy achieved targeted degradation of extracellular proteins without complex design.Image 1.

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 role of bone marrow mesenchymal stem cells derived from diabetic mice and their paracrine roles in inducing insulin resistance(IR).Methods The mouse model of diabetes mellitus was established,bone marrow mesenchymal stem cells(BMSC)were extracted and cultured,and the culture supernatant(M-BMSC-CS)was collected.(1)Cell experiment:HepG2 hepatocytes were divided into normal low-glycemic culture group[cultured with low-glycemic DMEM(5.55 mmol·L-1)],M-BMSC-CS experimental group(M-BMSC-CS 75 μL),and high-glycemic and high-lipid control group(given 25 mmol·L-1 high-glycemic DMEM+0.25 mmol·L-1 palmitic acid);(2)Animal experiments:Mice were divided into normal mice group(0.9％NaCl by intraperitoneal injection)and M-BMSC-CS-m group(M-BMSC-CS by intraperitoneal injection of normal mice(injection dose 0.2 mL/10 g)].Glucose intake was measured by glucose oxidase method.The fluorescence intensity of Glut2 protein was detected by immunofluorescence.The expression of insulin signaling pathway protein was detected by Western blot.Test oral glucose tolerance(OGTT)and insulin tolerance(ITT).Results The glucose intakes of the normal low-glucose culture group,the M-BMSC-CS experimental group and the high-glucose and high-lipid control group were(2.96±0.05),(1.64±0.28)and(1.42±0.32)mmol·L-1,respectively;the fluorescence expressions of glucose transporter 2(Glut2)were 53.21±2.70,30.95±3.39 and 34.96±7.60,respectively;the protein expression levels of phosphorylated insulin receptor substrate 1-ser307(p-IRS-1ser307)were 0.46±0.21,1.09±0.24 and 0.91±0.16,respectively;phosphorylated protein kinase(p-AKT)protein expression levels were 0.94±0.05,0.59±0.06 and 0.53±0.05;Glut2 protein expression levels were 1.08±0.14,0.58±0.14 and 0.62±0.09,respectively.The above indexes in M-BMSC-CS experimental group were statistically significant compared with those in normal low-glycemic culture group(all P＜0.05).Fasting blood glucose levels in the normal group and M-BMSC-CS-m group were(5.23±0.57)and(9.30±1.14)mmol·L-1;p-AKT protein expression level were 1.27±0.21 and 0.51±0.19;Glut2 protein expression level were 1.17±0.17 and 0.79±0.09,respectively.The above indexes in M-BMSC-CS-m group were significantly different from those in normal mouse group(P＜0.05).Conclusion BMSC culture supernatant from diabetic mice induced insulin resistance of normal HepG2 hepatocytes in vitro and normal mice in vivo.

italic>Cynanchum wallichii and Cynanchum otophyllum belong to the genus Cynanchum in the family Apocynaceae, and are important medicinal plants. In this study, we sequenced and assembled the chloroplast genomes of C. wallichii and C. otophyllum, and performed a phylogenetic analysis of the structural characteristics of their chloroplast genomes and their phylogenetic positions. The results showed that the chloroplast genomes of both C. wallichii and C. otophyllum had a typical tetrad structure, with 133 genes annotated, and the total GC contents of both were similar. Codon preference analysis showed that the relative synonymous codon usage in the chloroplast genomes of C. wallichii and C. otophyllum differed slightly, but the differences were not significant, and there was a strong A or U preference at the third codon position. In both chloroplast genomes, 91 and 103 simple sequence repeats were detected respectively, and the largest proportion of A/T type repeats. Nucleotide polymorphism analysis showed that the nucleotide diversity of the intergenic sequences in the chloroplast genome of genus Cynanchum were generally higher than those of the common gene sequences. A pair of primers was designed based on the high variation region of the chloroplast genome to identify C. wallichii and C. otophyllum. The phylogenetic analysis showed that the C. wallichii and Cynanchum thesioides were the closest relatives, while the C. otophyllum, Cynanchum bungei and Cynanchum wilfordii formed a stable monophyletic clade within the genus Cynanchum, and the three species were closely related. The comparative analysis of the chloroplast genomic characteristics and phylogeny of C. wallichii and C. otophyllum will provide a theoretical basis for the species identification of the two plants and for the study of genetic diversity and phylogeny of the genus Cynanchum.

N-cadherin,also known as Neural-cadherin/Cadherin-2,is a calcium-dependent transmembrane glycoprotein that plays a crucial role in cell-to-cell adhesion,cell sorting,nerve development and a variety of physiological and pathological processes. In recent years,with the rapid development of molecular biology and cell biology,the functional research of N-cadherin has made remarkable progress,providing essential clues for understanding tumor metastasis and neurodegenerative diseases. In this paper,the main progress in N-cadherin functional research in recent years is reviewed,including its molecular structure,biological function,signal transduction mechanism and its role in diseases. Finally,the clinical application prospect and future research direction of N-cadherin are summarized. It is expected to provide some theoretical reference for future research and clinical application of N-cadherin as a new target for the treatment of diseases.

In the field of dental aesthetics,digital aesthetic design plays a crucial role in helping dentists to predict treatment outcomes vis-ually,as well as in enhancing the consistency of knowledge and understanding of aesthetic goals between dentists and patients.It serves as the foundation for achieving ideal aesthetic effects.However,there is no clear standard for this digital process currently in China and abroad.Many dentists lack of systematic understanding of how to carry out digital aesthetic design for treatment.To establish standardized processes for dental aesthetic design and to improve the homogeneity of treatment outcomes,Chinese Society of Digital Dental Industry(CSD-DI)convened domestic experts in related field to compile this consensus.This article elaborates on the key aspects of digital aesthetic data collection,integration steps,and the digital aesthetic design process.It also formulates a decision tree for dental aesthetics at macro level and outlines corresponding workflows for various clinical scenarios,serving as a reference for clinicians.

Aim To observe the role of salvianolic acid B(Sal B)in enhancing the survival of random skin flaps and to preliminarily explore its potential mecha-nisms.Methods The appearance,degree of edema,color and hair condition of the skin flap were evaluated seven days after operation.The vascular network and blood flow of random flaps were measured by laser Doppler flow measurement.HE staining was used to detect the growth of microvessels in random flaps.The expressions of VEGF and CD34 were detected by im-munohistochemistry,the expressions of RIPK1,2 and LC3 Ⅱ were detected by immunofluorescence,and the effects of autophagy related proteins and signaling path-ways were detected by Western blot.Results The ex-perimental results showed that Sal B induced autophagy in the random skin flaps,promoted angiogenesis,and reduced oxidative stress and necrotic apoptosis,signifi-cantly increasing the survival rate of the flaps.Immu-nohistochemistry,immunofluorescence staining,and Western blot confirmed that Sal B induced autophagy in the random skin flaps by activating TFE3 protein.Conclusion Sal B can promote autophagy in cells of random skin flaps and reduce their necrotic apoptosis by activating TFE3 protein.

In recent years, nucleic acid therapy, as a revolutionary therapeutic tool, has shown great potential in the treatment of genetic diseases, infectious diseases and cancer. Lipid nanoparticles (LNPs) are currently the most advanced mRNA delivery carriers, and their emergence is an important reason for the rapid approval and use of COVID-19 mRNA vaccines and the development of mRNA therapy. Currently, mRNA therapeutics using LNP as a carrier have been widely used in protein replacement therapy, vaccines and gene editing. Conventional LNP is composed of four components: ionizable lipids, phospholipids, cholesterol, and polyethylene glycol (PEG) lipids, which can effectively load mRNA to improve the stability of mRNA and promote the delivery of mRNA to the cytoplasm. However, in the face of the complexity and diversity of clinical diseases, the structure, properties and functions of existing LNPs are too homogeneous, and the lack of targeted delivery capability may result in the risk of off-targeting. LNPs are flexibly designed and structurally stable vectors, and the adjustment of the types or proportions of their components can give them additional functions without affecting the ability of LNPs to deliver mRNAs. For example, by replacing and optimizing the basic components of LNP, introducing a fifth component, and modifying its surface, LNP can be made to have more precise targeting ability to reduce the side effects caused by treatment, or be given additional functions to synergistically enhance the efficacy of mRNA therapy to respond to the clinical demand for nucleic acid therapy. It is also possible to further improve the efficiency of LNP delivery of mRNA through machine learning-assisted LNP iteration. This review can provide a reference method for the rational design of engineered lipid nanoparticles delivering mRNA to treat diseases.

Palmatine, the main effective ingredient of Fibraurea recisa, is a typical berberine isoquinoline alkaloid with extensive anti-inflammatory and antibacterial activities. In this work, the studies of metabolomics and transcriptomics were utilized to detect differentially expressed genes (DEGs) that are significantly associated with the synthesis of palmatine. In addition, eight of these DEGs were verified by quantitative real-time PCR (qRT-PCR). A total of 106 alkaloids were detected in the metabolomics study, including 23 isoquinoline alkaloids. Palmatine ranked in the top ten of differential metabolites in the group of root vs leaf, and its relative content in root was about 47.5 times higher than that in leaf. In the transcriptomics study, a total of 188 genes were annotated to the pathway of isoquinoline alkaloid biosynthesis. Among them, there were 36 DEGs were significantly different. In the comparison group of root and leaf, a total of 33 DEGs were significantly different, and 30 DEGs were annotated on the biosynthetic pathway of palmatine. Finally, the results of the correlation analysis between metabolomics and transcriptomics showed that the expression patterns of four gene sequences were screened to be significantly correlated with palmatine. The results of qRT-PCR experiments showed that the expression trends of eight DEGs were consistent with the results of transcriptomic. This study not only enriched the omics data of F. recisa, but also established the foundation for the study of the synthetic biology of palmatine. It further provided a reference for the analysis of the key enzyme genes on the biosynthetic pathway of other isoquinoline alkaloids.