Objective To investigate the effects of Nel-like type 1 molecule(NELL-1)on the proliferation and osteogenic differenti-ation of stem cells from human exfoliated deciduous teeth(SHEDs).Methods SHEDs was isolated,cultured,and identified.The third generation SHEDs were used for subsequent experiments.SHEDs were divided into 4 groups,and NELL-1 was added to each group at concentrations of 0(control group),50,100,and 200 ng/mL.Cell activity was measured by CCK-8 assay and crystal violet staining.The changes in osteogenic ability were detected by alkaline phosphatase activity.The expression levels of osteogenesis-related genes ALP,OCN and Runx-2 by RT-qPCR were detected.Western blot was used to detect the expression of osteogenesis-related pro-teins ALP,Runx-2 and Col-Ⅰ.Results SHEDs exhibited stem cell characteristics,and 50 ng/mL of NELL-1 protein had a promo-ting effect on SHEDs proliferation(P＜0.01).Alkaline phosphatase activity assay showed that after the addition of NELL-1,the osteo-genic effect of each group was better than that of the control group and 50 ng/mL of NELL-1 was the best(P＜0.05).RT-qPCR and Western blot results showed that 50 ng/mL of NELL-1 significantly promoted the expression of osteoblast-related genes including ALP,OCN and Runx-2 and the protein expression of ALP,Runx-2 and Col-Ⅰ(P＜0.05).Conclusion NELL-1 can promote the prolifera-tion and osteogenic differentiation of SHEDs.

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.

Episodic memory, our ability to recall past experiences, is supported by structures in the medial temporal lobe (MTL) particularly the hippocampus, and its interactions with fronto-parietal brain regions. Understanding how these brain regions coordinate to encode, consolidate, and retrieve episodic memories remains a fundamental question in cognitive neuroscience. Non-invasive brain stimulation (NIBS) methods, especially transcranial magnetic stimulation (TMS), have advanced episodic memory research beyond traditional lesion studies and neuroimaging by enabling causal investigations through targeted magnetic stimulation to specific brain regions. This review begins by delineating the evolving understanding of episodic memory from both psychological and neurobiological perspectives and discusses the brain networks supporting episodic memory processes. Then, we review studies that employed TMS to modulate episodic memory, with the aim of identifying potential cortical regions that could be used as stimulation sites to modulate episodic memory networks. We conclude with the implications and prospects of using NIBS to understand episodic memory mechanisms.
Humans ; Memory, Episodic ; Transcranial Magnetic Stimulation/methods* ; Brain/physiology* ; Nerve Net/physiology* ; Mental Recall/physiology* ; Neural Pathways/physiology*

Objective To investigate the effects of Nel-like type 1 molecule(NELL-1)on the proliferation and osteogenic differenti-ation of stem cells from human exfoliated deciduous teeth(SHEDs).Methods SHEDs was isolated,cultured,and identified.The third generation SHEDs were used for subsequent experiments.SHEDs were divided into 4 groups,and NELL-1 was added to each group at concentrations of 0(control group),50,100,and 200 ng/mL.Cell activity was measured by CCK-8 assay and crystal violet staining.The changes in osteogenic ability were detected by alkaline phosphatase activity.The expression levels of osteogenesis-related genes ALP,OCN and Runx-2 by RT-qPCR were detected.Western blot was used to detect the expression of osteogenesis-related pro-teins ALP,Runx-2 and Col-Ⅰ.Results SHEDs exhibited stem cell characteristics,and 50 ng/mL of NELL-1 protein had a promo-ting effect on SHEDs proliferation(P＜0.01).Alkaline phosphatase activity assay showed that after the addition of NELL-1,the osteo-genic effect of each group was better than that of the control group and 50 ng/mL of NELL-1 was the best(P＜0.05).RT-qPCR and Western blot results showed that 50 ng/mL of NELL-1 significantly promoted the expression of osteoblast-related genes including ALP,OCN and Runx-2 and the protein expression of ALP,Runx-2 and Col-Ⅰ(P＜0.05).Conclusion NELL-1 can promote the prolifera-tion and osteogenic differentiation of SHEDs.

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.

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.

Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria, Acinetobacter baumannii can still survive and acquire polymyxin resistance after complete loss of LPS. Previous studies of LPS-deficient Acinetobacter baumannii mostly focused on LPS-deficient strains induced by polymyxin, whose background was complex and unstable. To investigate LPS loss-mediated polymyxin resistant-Acinetobacter baumannii, this study constructed a stable and clear background LPS-deficient strain by knocking out lpxC gene in Acinetobacter baumannii ATCC 19606 with CIRSPR/Cas9, and then studied the phenotypic changes of the lpxC-deficient strain including morphology, growth rate, antibiotic susceptibility, virulence, membrane permeability, and membrane potential. Animal experiments were approved by the Animal Care and Welfare Committee Institute of Medicinal Biotechnology, CAMS and PUMC (approval number: IMB-20240119D₉). The results indicated that the lpxC gene of Acinetobacter baumannii ATCC 19606 was successfully knocked out. After losing the lpxC, the strain underwent the morphological change from rod-shaped to spherical. Furthermore, it leads to reduced growth rate, enhanced membrane permeability, decreased membrane potential, lower virulence, and increased antibiotic susceptibility to β-lactams, quinolones, aminoglycosides, macrolides, glycopeptides. The lpxC deletion results in significant changes in membrane homeostasis and adaptability of Acinetobacter baumannii. Understanding the phenotypic changes of colistin-resistant Acinetobacter baumannii mediated by LPS loss is useful for exploring the resistance mechanism of Acinetobacter baumannii and developing new therapeutic strategies.

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.

The author analyzed the characteristics of phase Ⅰ clinical trials of macromolecular drugs,the characteristics of evaluation indicators of phase Ⅰ clinical trials of macromolecular drugs,such as safety evaluation,pharmacokinetic and pharmacodynamic evaluation,and efficacy evaluation.And the control points of subjects management,management of experimental macromolecule drugs,and identified and potential risk factors of macromolecule drugs in the implementation of risk management for phase Ⅰ clinical trials of macromolecule drugs were discussed in depth based on previous clinical trial research experience.Through discussion and analysis,the author suggests that each research center can formulate risk control strategies according to the actual situation,improve the efficiency of risk control,and facilitate the smooth implementation of clinical trials and improve the quality of clinical trials.

Objective To investigate the relationship between the injury and ferroptosis of bone marrow mesenchymal stem cells(BMSCs)induced by high glucose and high fat.Methods BMSCs were divided into normal group(5.50 mmol·L-1 glucose)and high glucose and high fat(HGHF)group(25.00 mmol·L-1 glucose+0.25 mmol·L-1 palmitic acid).Assessment of cellular aging via β-galactosidase staining;enzyme linked immunosorbent assay(ELISA)were used to detect tumor necrosis factor-α(TNF-α),interleukin-10(IL-10)release levels;glutathione(GSH),malondialdehyde(MDA)and ferrous ion(Fe2+)detection kits were used to detect ferroptosis related indicators;Western blotting was used to detect the expression of ferroptosis related signaling pathway protein acyl-CoA synthetase long chain family member 4(ACS14)/arachidonate 15-lipoxygenase(ALOX15)/glutathione peroxidase 4(GPX4).Results The senescence rates of normal group HGHF group were(6.80±1.60)％and(13.00±1.58)％;the levels of TNF-α were(122.54±3.94)and(169.77±2.89)pg·mL-1;the levels of IL-10 were(155.16±3.97)and(105.15±7.30)pg·mL-1;GSH levels were 4.30±0.33 and 1.55±0.14;MDA levels were 2.94±0.10 and 5.84±0.10;Fe2+levels were 6.22±0.35 and 16.13±0.36;the relative expression levels of ACSL4 protein were 0.42±0.05 and 0.84±0.10;the relative ALOX15 protein were 0.61±0.25 and 1.06±0.11;the relative expression levels of GPX4 protein were 1.13±0.17 and 0.33±0.08,respectively.The above indexes in the HGHF group were significantly different from those in the normal group(all P＜0.05).Conclusion 25 mmol·L-1 glucose combined with 0.25 mmol·L-1 palmitic acid for 24 h can be used as a suitable condition to induce BMSCs injury.ferroptosis plays an important role in BMSCs injury induced by high glucose and high fat.