BACKGROUND:Fracture healing is a very complex physiological process,which is influenced by many factors.In recent years,the use of biomechanical factors in fracture healing has been a major focus in the field of orthopedics,and the mechanical stress environment around the fracture end has an important role in regulating fracture healing.Among them,the study of the mechanism of compressive mechanics on the cytokines of fracture ends is a hot spot for bone-related researchers.OBJECTIVE:To summarize the current status and recent advances in the study of the mechanism of action of compressive stress on cytokines in fracture healing in recent years.METHODS:A search with the keywords of"compressive stress,fracture healing,cytokine,bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,tumor necrosis factor-α"in Chinese and English was conducted in the CNKI,WanFang,PubMed,and Web of Science.Initially 506 articles were retrieved,and 94 eligible articles that met the criteria were screened and finally summarized.RESULTS AND CONCLUSION:Current studies have found that compressive stress has different effects on different cytokines during fracture healing,which can be achieved mainly by influencing cell signaling,gene expression regulation,and modulation of cell behavior.Among them,compressive stress can be linked to cytokines such as bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,and tumor necrosis factor-α.This process involves cell proliferation,differentiation and migration,inflammatory response,and changes in the environmental and nutritional conditions of the fracture end,which are key factors affecting fracture healing.The whole paper summarizes the complexity of cytokine action mechanism,the mechanism of compressive stress on its regulation needs to be further carried out in-depth research,and the problems and limitations in the research are considered and future prospects.

ObjectiveBiochemistry and Molecular Biology, a discipline that elucidates life phenomena at the molecular level, serves as a core foundational course in medical education. It provides the theoretical basis for studying other basic and clinical medical subjects, as well as for understanding pathogenesis, disease diagnosis, and treatment. However, its complex content and highly abstract concepts have posed a dual challenge to traditional teaching models: “inefficient instruction” and “inadequate learning outcomes”. Within limited classroom hours, how to engage students and stimulate their intrinsic motivation, and how to help them recognize, understand, and develop a passion for biochemistry from the perspective of the discipline’s essence, have long been key focuses of curriculum research. MethodsUsing the lipid metabolism chapter as an example, this study employs “Rain Classroom”, a generative artificial intelligence (AI)-assisted platform, to support education in four dimensions: teaching, learning, evaluation, and research. In teaching, it assists instructors through virtual experiments, lesson preparation support, knowledge mapping, and assignment design. For learning, it serves as an intelligent study assistant for students, providing automated assignment review, enabling educational resource sharing, and facilitating personalized learning pathways. In evaluation, the platform automates assignment grading, analyzes student performance data, and offers diagnostic feedback and teaching recommendations. In research, it aids educators in collecting and analyzing teaching data, as well as searching for and summarizing relevant literature. ResultsThe results indicate that an educational model integrating teacher-led instruction, student-centered learning, and generative AI assistance significantly enhances teaching quality, students’ self-directed learning abilities, and knowledge mastery. Furthermore, with the support of generative AI, curriculum-based ideological education—focusing on cutting-edge disciplinary advances and topical medical issues—helps cultivate students’ medical spirit of “honoring life and healing the wounded”, thereby fostering the establishment of appropriate professional values. Finally, while generative AI presents both opportunities and challenges for higher education, this study also analyzes potential risks in its teaching applications, emphasizing the need for both instructors and students to avoid over-reliance and to ensure that technological tools consistently serve the fundamental goals of education. ConclusionThis study demonstrates that integrating generative AI, specifically via the “Rain Classroom” platform, can effectively enhance biochemistry education. By supporting teaching, learning, evaluation, and research, this approach improves both educational effectiveness and student outcomes. It also facilitates the incorporation of cutting-edge knowledge and professional ethics, nurturing a patient-centered mindset. Additionally, the study addresses potential implementation risks to ensure that such technological tools remain aligned with the core purpose of education.

BACKGROUND:Fracture healing is a very complex physiological process,which is influenced by many factors.In recent years,the use of biomechanical factors in fracture healing has been a major focus in the field of orthopedics,and the mechanical stress environment around the fracture end has an important role in regulating fracture healing.Among them,the study of the mechanism of compressive mechanics on the cytokines of fracture ends is a hot spot for bone-related researchers.OBJECTIVE:To summarize the current status and recent advances in the study of the mechanism of action of compressive stress on cytokines in fracture healing in recent years.METHODS:A search with the keywords of"compressive stress,fracture healing,cytokine,bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,tumor necrosis factor-α"in Chinese and English was conducted in the CNKI,WanFang,PubMed,and Web of Science.Initially 506 articles were retrieved,and 94 eligible articles that met the criteria were screened and finally summarized.RESULTS AND CONCLUSION:Current studies have found that compressive stress has different effects on different cytokines during fracture healing,which can be achieved mainly by influencing cell signaling,gene expression regulation,and modulation of cell behavior.Among them,compressive stress can be linked to cytokines such as bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,and tumor necrosis factor-α.This process involves cell proliferation,differentiation and migration,inflammatory response,and changes in the environmental and nutritional conditions of the fracture end,which are key factors affecting fracture healing.The whole paper summarizes the complexity of cytokine action mechanism,the mechanism of compressive stress on its regulation needs to be further carried out in-depth research,and the problems and limitations in the research are considered and future prospects.

Objective To explore the inhibitory effect of guggulsterone(GS)on diethylnitrosamine(DEN)-induced liver fibrosis in rats and its mechanism.Methods DEN-induced liver fibrosis model was established in SD rats.The successful model rats were randomly divided into model group(n=6),GS group(n=6,50 mg/kg,intraperitoneal injection for 4 weeks),GS+SRI group(n=6,50 mg/kg+30 mg/kg,intraperitoneal injection for 4 weeks),and control group(n=6,without DEN-induced).Rats in the control group and the model group were injected with the same amount of normal saline.The pathological changes of the liver were detected by HE staining.Serum liver function indexes including alanine aminotransferase(ALT),aspartate aminotransferase(AST),albumin(ALB)and alkaline phosphatase(ALP)were detected by automatic biochemical analyzer.The serum levels of pro-collagen Ⅲ(PC-Ⅲ),collagen Ⅳ(Ⅳ-C),hyaluronidase(HA),laminin(LN),malondialdehyde(MDA),reduced glutathione(GSH),superoxide dismutase(SOD),and catalase(CAT)were detected by ELISA assay.The mRNA and protein expression of TGF-β1,Smad2,and p-Smad3/Smad3 were detected by Real-time PCR and Western blotting.Results Compared with the control group,the model group showed typical pathological changes of liver fibrosis;the serum ALB,GSH,SOD and CAT levels were significantly decreased(P＜0.05);the serum levels of ALT,AST,ALP,MDA,PC-Ⅲ,Ⅳ-C,HA,LN and the mRNA expression of TGF-β1,Smad3 and protein expression of TGF-β1,p-Smad3 in liver tissues were significantly increased(P＜0.05).Compared with the model group,the pathological changes of liver fibrosis in the GS group were alleviated,and the serum levels of ALB,GSH,SOD and CAT were significantly increased(P＜0.05),the serum levels of ALT,AST,ALP,MDA,PC-Ⅲ,Ⅳ-C,HA and LN,the mRNA expression of TGF-β1 and Smad3,and protein expression of TGF-β1 and p-Smad3 in liver tissues were significantly decreased(P＜0.05).In addition,after the administration of SRI,TGF-β1 signaling pathway activator,compared with the GS group,the GS+SRI group showed significantly decreased serum ALB,GSH,SOD and CAT levels(P＜0.05),but significantly increased serum levels of ALT,AST,ALP,MDA,PC-Ⅲ,Ⅳ-C,HA and LN as well as the mRNA expression of TGF-β1 and Smad3 and protein expression of TGF-β1 and p-Smad3 in liver tissues(P＜0.05).Therefore,SRI attenuated the anti-fibrotic effect of GS on rats with liver fibrosis.Conclusion GS has certain inhibitory effect on DEN-induced liver fibrosis in rats,and its mechanism may be related to the reduction of oxidative stress level and the inhibition of the activation of TGF-β1/Smad3 signaling pathway.

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 evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

Aim To explore the action mechanism of isoquercitrin(IQ)in ameliorating anxiety based on network pharmacology,cellular transcriptomics,molecu-lar docking and animal experiments.Methods The common targets of anxiety disorders and IQ were ob-tained by using relevant databases.The protein-protein interaction network,the biological function and signa-ling pathway enrichment analysis were conducted by u-sing the common targets.Primary hippocampal neurons were cultured in vitro,and corticosterone was added to induce neurons to establish a corticosterone injury mod-el.IQ treatment was added to the culture system,and transcriptomics was used to screen for differentially ex-pressed genes and enrich for differentially expressed pathways.Subsequently,the results were validated by quantitative real-time polymerase chain reaction(qRT-PCR).Possible targets and signaling pathways for IQ treatment on anxiety were speculated and screened u-sing network pharmacology,transcriptomics and molec-ular docking.The anxiety rat model was constructed,and the anxiety state of rats was evaluated after IQ in-tervention,and the protein expression level of hippo-campus was detected to verify the relevant mechanism.Results Network pharmacology,cellular transcrip-tome,and molecular docking analyses revealed that the key mechanism of IQ for anxiety may be related to the BDKRB2/PI3K/Akt signaling pathway.Animal exper-iments showed that IQ was effective in improving anxie-ty behaviour and learning memory ability in rats.IQ increased the movement distance and residence time in the central area of the open field,the time and number percentage of entries into the open arm in the elevated plus maze,and the spontaneous alternations score in the Y maze in rats,and significantly elevated protein expression of BDKRB2,PI3K,Akt and decreased pro-tein expression of NF-κB in the hippocampus.Conclu-sions Isoquercitrin can effectively treat anxiety,and the mechanism of action may be related to the regula-tion of BDKRB2/PI3K/Akt signaling pathway in hip-pocampus.

OBJECTIVE To investigate the improved anesthesia method of arytenoid cartilage reduction under general anesthesia in the treatment of arytenoid dislocation.METHODS The clinical data of 12 patients who underwent modified arytenoid cartilage reduction under general anesthesia in Beijing Tongren Hospital from July 2020 to March 2024 were retrospectively analyzed.To evaluate and analyze the modified anesthesia method of maintaining low degree of neuromuscular block during operation,the recovery of arytenoid cartilage movement and sound after operation.RESULTS All the 12 patients successfully completed arytenoid cartilage reduction.The articulation,arytenoid movement and glottis closure were improved significantly.Compared with the total voice handicap index(VHI),physical scores,functional scores and emotional scores before reduction,the scores at 1 month after surgery were significantly lower[83.5(75-91)vs.13(7-19),30.5(26.5-33)vs.5.5(3-7),25.5(22.5-29)vs.4(2-6),26(23.5-30)vs.4(1.5-6),P<0.001].No complications such as laryngeal spasm and laryngeal edema occurred during perioperative period.CONCLUSION Arytenoid cartilage reduction under modified general anesthesia has high safety,good patient cooperation and high reduction success rate.It provides a new option for the treatment of arytenoid dislocation.

Objective:To investigate the effect of long non-coding RNA(lncRNA)nuclear enriched transcript 1(NEAT1)on lipopolysaccharide(LPS)-induced human embryonic lung cells(WI-38)injury by regulating microRNA-495-3p(miR-495-3p).Methods:WI-38 cells were treated with 10 μg/ml LPS to establish an in vitro pneumonia model.Real-time fluorescent quantitative polymerase chain reaction(qPCR)was used to detect the expression levels of NEAT1 and miR-495-3p in WI-38 cells.The dual lucif-erase reporter assay was used to detect the targeting relationship between NEAT1 and miR-495-3p.Cell counting kit and flow cytome-try were used to detect the effect of knockdown NEAT1 on the proliferation and apoptosis of WI-38 cells treated with LPS.Western blot was used to detect Bcl-2,Bax and Cleaved caspase-3 protein expressions.ELISA was used to detect the levels of inflammatory factors IL-6,IL-8 and IL-1β.Results:LPS stimulation could up-regulate the expression of NEAT1 and inhibit the expression of miR-495-3p in WI-38;NEAT1 directly targeted miR-495-3p,and NEAT1 knockdown could promote the expressions of miR-495-3p.Functionally,LPS inhibited the proliferation of WI-38 cells and promoted cell apoptosis and the expression of the inflammatory factors IL-6,IL-8 and IL-1β(P<0.05).Knockdown of NEAT1 could inhibit LPS-induced WI-38 cell apoptosis and inflammation,and promote cell pro-liferation.Conclusion:Knockdown of NEAT1 can inhibit LPS-induced apoptosis and inflammation of WI-38 cells by negatively regu-lating miR-495-3p.

Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans ; Consensus ; Dental Caries/etiology* ; Dental Enamel/pathology* ; Tooth Demineralization/etiology* ; Tooth Remineralization