BACKGROUND:Existing studies have confirmed that exosomes can effectively promote pulp regeneration.However,the biological functions and properties of exosomes from preconditioned sources can be significantly changed,which have different effects on cell proliferation,migration and odontogenic differentiation. OBJECTIVE:To discuss the application status of exosomes and their preconditioning methods in the field of pulp regeneration,and summarize the preconditioning methods that affect the function of exosomes,and explore the effect of exosomes and their preconditioning on pulp regeneration. METHODS:The relevant articles were searched in WanFang,CNKI,PubMed,and Web of Science databases from 2006 to 2022.The Chinese and English search terms were"exosomes,pulp regeneration;preconditioning method".A total of 78 articles were included for analysis. RESULTS AND CONCLUSION:(1)Exosomes have the advantages of good biocompatibility,low immunogenicity and no cytotoxicity,and can induce the regeneration of pulp tissue by promoting stem cell tooth formation,neurogenesis and vascularization.(2)Exosomes derived from preconditioning can enhance the ability of tissue repair and regeneration and have a significant impact on the quality of regenerated dental pulp.(3)Currently,the preconditioning methods used in the field of dental pulp regeneration include inflammatory stimulation,hypoxia induction,conditioned medium and three-dimensional culture,and secreted exosomes can effectively improve the quality of regenerated dental pulp.Nevertheless,the specific effect and mechanism of different preconditioning methods on pulp regeneration need to be explored.

AIM: To explore the effect of lncRNA SNHG6 on injury of human retinal microvascular endothelial cells(hRMECs)induced by high glucose and its possible mechanism.METHODS: The D-glucose-induced hRMECs were used to establish normal glucose(NG)and high glucose(HG)cell injured model. In the HG group, the hRMECs were cultured in DMEM medium at a concentration of 25 mmol/L D-glucose for 24 h, while in the NC group, they were cultured in DMEM medium at a concentration of 5.5 mmol/L D-glucose; according to experimental design, si-NC, si-SNHG6, si-SNHG6 and anti-miR-NC and si-SNHG6 and anti-miR-186-5p were transfected into hRMECs, and then incubated at a concentration of 25 mmol/L D-glucose for 24 h, with HG+si-NC group, HG+si-SNHG6 group, HG+si-SNHG6+anti-miR-NC group and HG+si-SNHG6+anti-miR-186-5p group marked, respectively. The quantitative real-time polymerase chain reaction(qRT-PCR)was used to detect the expression of lncRNA SNHG6 and miR-186-5p; dual-luciferase reporter assay was used to detect the targeting relationship; MTT assay and flow cytometry were used to detect the cell proliferation and apoptosis, respectively; enzyme linked immunosorbent assay(ELISA)was used to detect the levels of IL-1β, TNF-α, IL-8, IL-10; testing kits were used to detect activity of SOD and level of MDA; the Western blot was used to detect the protein expression of cleaved-caspase3, Bax and Bcl-2.RESULTS: The lncRNA SNHG6 expression increased in the HG group, while miR-186-5p expression decreased(both P<0.05). There was target binding of lncRNA SNHG6 with miR-186-5p. After the transfection of si-SNHG6, cell inhibition rate, apoptosis rate, cleaved-caspase3, Bax protein levels, IL-1β, TNF-α, IL-8 contents, and MDA activity were decreased(P<0.05), while Bcl-2 protein, IL-10 contents, and SOD activity were increased(P<0.05). Co-transfection of si-SNHG6 and anti-miR-186-5p increased cell proliferation inhibition rate, apoptosis rate, cleaved-caspase3, Bax, IL-1β, TNF-α, IL-8, and MDA(P<0.05), but decreased Bcl-2, IL-10 and SOD(P<0.05).CONCLUSION: Interfering with lncRNA SNHG6 could inhibit cell apoptosis, inflammation and oxidative stress of high-glucose- induced hRMECs by elevating the expression of miR-186-5p.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.