1.Research progress on antimicrobial materials modified root canal sealers
MA Jinyi ; LI Bolei ; CHENG Lei
Journal of Prevention and Treatment for Stomatological Diseases 2025;33(3):237-243
Endodontic and periapical lesions are prevalent infectious diseases primarily caused by bacteria and their metabolic byproducts. The most widely used treatment method today is root canal therapy, which aims to remove infectious substances from the root canal. Root canal sealers can fill areas that core filling materials cannot reach, effectively reducing the risk of reinfection through their antimicrobial properties thus improving the success rate of root canal treatment. Various strategies have been employed to enhance the antimicrobial efficacy of root canal sealers through different mechanisms such as mechanical interlocking or chemical bonding. These strategies include antibiotic modification, quaternary ammonium compounds modification, nanoparticle modification, and others. Overall, antimicrobial modification strategies are increasingly diverse, and their effectiveness in enhancing the antimicrobial properties of sealers is beyond doubt. Root canal sealers modified with quaternary ammonium compounds and nanoparticles have shown certain advantages in antibiofilm activity and have potential clinical prospects. However, whether these modified materials have long-term antimicrobial effects, whether they can perform similarly in vivo as they do in vitro, and their biocompatibility are issues that still need to be addressed. In the future, the preparation of root canal sealers with ideal multidimensional properties will require further long-term and in-depth exploration.
2.The role of silent information regulator in periodontitis
Jinyi SUN ; Qinying WANG ; Ying LI ; Maohua MENG ; Helin CHEN ; Xiao ZENG ; Jiayu SHU ; Wenjie LI ; Yuncai LUO ; Qiang DONG
Chinese Journal of Tissue Engineering Research 2024;28(11):1737-1742
BACKGROUND:Periodontitis is an inflammatory and destructive disease with plaque biofilm as the main pathogenic material,which occurs in the gingiva,periodontal ligament,alveolar bone and cementum.The antigen of bacterial complex and its secreted toxin and enzyme directly lead to the destruction of periodontal tissue and trigger the host's immune response,causing indirect damage to the body tissue.Silence information regulatory factors(Sirtuins,SIRTs)play an important role in anti-aging,anti-oxidative stress,regulating inflammation,and mediating autophagy,and are closely related to the occurrence and development of periodontitis. OBJECTIVE:To review the research status of Sirtuins in periodontitis. METHODS:The first author used the computer to search the relevant research regarding the role of Sirtuins in periodontitis in PubMed,Web of Scene,CNKI and WanFang databases.The key words were"Sirtuins,Sirtuin1-7,periodontitis"in English and Chinese.After literature screening,57 articles were included for review and analysis. RESULTS AND CONCLUSION:SIRT1,SIRT2,SIRT3,and SIRT6 participate in regulating the occurrence and development of periodontitis.Inhibition of SIRT1 expression may be the target of periodontitis treatment,while overexpression of SIRT1 can inhibit periodontitis and protect periodontal tissue.The activator of SIRT1 can reduce the inflammation of periodontal tissue and improve the systemic pathological changes caused by periodontitis.SIRT2 is involved in nicotinamide phosphoribosyltransferase-mediated periodontal inflammation and plays a role in the treatment and prognosis of periodontal diseases.SIRT3 can improve age-related periodontal disease.Gastrodin promotes the osteogenic differentiation of periodontal ligament stem cells through the up-regulation of SIRT3.The activator of SIRT3 reduces the damage of periodontitis to periodontal and renal tissues by regulating the level of autophagy in the cells.SIRT6 can inhibit the inflammatory reaction of periodontal tissue and inhibit the differentiation and mineralization of cementoblasts.SIRT6 is beneficial to the prognosis of periapical periodontitis.The relationship between SIRT4,SIRT5,SIRT7 and periodontitis is rarely reported.
3.Machine learning combined with bioinformatics to identify and validate key genes for cellular senescence in osteoarthritis
Changshen YUAN ; Shuning LIAO ; Zhe LI ; Siping WU ; Lewei CHEN ; Jinyi LIU ; Yanhong LI ; Kan DUAN
Chinese Journal of Tissue Engineering Research 2024;28(20):3196-3201
BACKGROUND:Cellular senescence is closely related to the development and progression of osteoarthritis,but the specific targets and regulatory mechanisms are not yet clear. OBJECTIVE:To mine key genes in cellular senescence-mediated osteoarthritis by integrating bioinformatics and machine learning approaches and validate them via experiments to explore the role of cellular senescence in osteoarthritis. METHODS:The osteoarthritis gene expression profiles obtained from the GEO database were intersected with cellular senescence-related genes obtained from the CellAge database and the expression of the intersected genes was extracted for differential analysis,followed by GO and KEGG analysis of the differential genes.The key osteoarthritis cellular senescence genes were then screened by protein-protein interaction network analysis and machine learning,and in vitro cellular experiments were performed.Finally,the expression of the key genes was detected by qPCR. RESULTS AND CONCLUSION:A total of 31 osteoarthritis cell senescence differential genes were identified.GO analysis showed that these genes were mainly involved in the biological processes,such as regulation of leukocyte differentiation,monocyte differentiation,regulation of T cell differentiation and exerted roles in DNA transcription factor binding,histone deacetylase binding,chromatin DNA binding,and chemokine binding.KEGG analysis showed that osteoarthritis cell senescence differential genes were mainly activated in the JAK/STAT signaling pathway,PI3K/Akt signaling pathway and FoxO signaling pathway.MYC,a key gene for osteoarthritis cellular senescence,was identified by protein-protein interaction network topology analysis and machine learning methods.The results of the in vitro cellular assay showed that the mRNA expression of MYC was significantly lower in the experimental group(osteoarthritis group)than the control group(normal group)(P<0.05).To conclude,MYC can be a key gene in the senescence of osteoarthritic cells and may be a new target in the prevention and treatment of osteoarthritis by mediating immune response,inflammatory response and transcriptional regulation.
4.Effects of light regulation on the synthesis of secondary metabolites in medicinal plants
Wei ZHANG ; Xiangqing MENG ; Xiaohui SU ; Jinyi WANG ; Lihua LI ; Min JIA
Journal of Pharmaceutical Practice and Service 2024;42(2):50-59
Secondary metabolites of medicinal plants are extremely important to human health because of their special pharmacological activities or efficacy. They are the main source of drugs, health care products, and cosmetics. As human beings continue to pursue health and longevity, the demand in the pharmaceutical market continues to grow. It becomes especially important to improve the production and quality of secondary metabolites of medicinal plants. Plant secondary metabolites are a kind of adaptation of plants to their environment and are the result of the interaction between plants and biotic and abiotic factors during the long-term evolution process. The production and accumulation of secondary metabolites in medicinal plants are mainly affected by plant genetic factors and environmental factors. Among them, light environment is extremely important for their synthesis. Therefore, light regulation has long been a research focus for many scholars in China and abroad. In this article, we the recent research progress on the effects of light regulation on the secondary metabolites of medicinal plants were reviewed, mainly focusing on the effects of light quality, light intensity and photoperiod, in order to provide theoretical basis and practical guidance for the efficient production of secondary metabolites with important pharmacological activities.
5.Study of the effects of dietary patterns on glycemic control in community type 2 diabetic mellitus patients
Liyun LEI ; Li QIN ; Zhanguo WANG ; Jun WANG ; Qun ZHAO ; Chaoqin JI ; Bo CHEN ; Qingjun ZHANG ; Fang ZHOU ; Ming WU ; Jinyi ZHOU ; Wenjuan WANG
Chinese Journal of Epidemiology 2024;45(2):242-249
Objective:To understand the impact of diet on glycemic control in community-managed patients with type 2 diabetes mellitus (T2DM) and provide evidence for implementing prevention strategies and measures for diabetes patients.Methods:Eight communities were randomly selected from Changshu and Wuhan in 2015, and T2DM patients managed in the community were selected to conduct questionnaire surveys, physical measurements, and blood glucose testing. Factor analysis was used to obtain dietary patterns. A binary logistic regression model was used to analyze the factors affecting glycemic control.Results:Finally, 1 818 T2DM patients were included, and the control rate of FPG was 57.59% (95% CI: 55.30%-59.86%), and the control rate of 2 h postprandial blood glucose (2 h PBG) was 24.90% (95% CI: 22.93%- 26.91%). Five dietary patterns were obtained by factor analysis: animal food pattern, fruit-aquatic products-potato patterns, vegetable-grain pattern, egg-milk-bean pattern, and oil-salt patterns. No-conditional multivariate logistic regression analysis showed that after adjusting for confounding factors, the reduced probability of FPG control was related to animal food pattern ( OR=0.71, 95% CI: 0.52-0.98) and fruit-aquatic products-potato patterns ( OR=0.71, 95% CI: 0.51-0.97). The decrease in the 2 h PBG control probability was related to fruit-aquatic products-potato patterns ( OR=0.60, 95% CI: 0.40-0.90). The increased probability of FPG and 2 h postprandial glucose control were both related to vegetable-grain pattern ( OR=1.41, 95% CI: 1.03-1.94; OR=1.68, 95% CI: 1.13-2.51) and egg-milk-bean pattern ( OR=1.75, 95% CI: 1.25-2.46; OR=1.56, 95% CI: 1.00-2.42). Compared with the Q4 group of egg-milk-bean pattern, the FPG control rate of the combination of "fruit-aquatic products-potato pattern ( Q4 group), vegetable-grain pattern ( Q2 group), egg-milk-bean pattern ( Q3 group)" was higher ( OR=6.79, 95% CI: 1.15-40.23, P=0.035). Compared with the Q4 group of vegetable-grain pattern, the combination of "fruit-aquatic products-potato pattern ( Q4 group), vegetable-grain pattern ( Q3 group), egg-milk-bean pattern ( Q2 group), oil-salt pattern ( Q2 group)" had higher control rate of 2 h PBG ( OR=12.78, 95% CI: 1.26-130.05, P=0.031). Conclusions:A proper combination of dietary patterns and dietary patterns are more conducive to the control of FPG and 2 h PBG in T2DM patients managed in the communities of Wuhan and Changshu. Patient nutrition education should be strengthened, and the food-matching ability of patients should be improved.
6.Associations of onset age, diabetes duration and glycated hemoglobin level with ischemic stroke risk in type 2 diabetes patients: a prospective cohort study
Xikang FAN ; Mengyao LI ; Yu QIN ; Chong SHEN ; Yan LU ; Zhongming SUN ; Jie YANG ; Ran TAO ; Jinyi ZHOU ; Dong HANG ; Jian SU
Chinese Journal of Epidemiology 2024;45(4):498-505
Objective:To investigate the associations of onset age, diabetes duration, and glycated hemoglobin (HbA1c) levels with ischemic stroke risk in type 2 diabetes patients.Methods:The participants were from Comprehensive Research on the Prevention and Control of the Diabetes in Jiangsu Province. The study used data from baseline survey from December 2013 to January 2014 and follow-up until December 31, 2021. After excluding the participants who had been diagnosed with stroke at baseline survey and those with incomplete information on onset age, diabetes duration, and HbA1c level, a total of 17 576 type 2 diabetes patients were included. Cox proportional hazard model was used to calculate the hazard ratio ( HR) and 95% CI of onset age, diabetes duration, and HbA1c level for ischemic stroke. Results:During the median follow-up time of 8.02 years, 2 622 ischemic stroke cases were registered. Multivariate Cox proportional risk regression model showed that a 5-year increase in type 2 diabetes onset age was significantly associated with a 5% decreased risk for ischemic stroke ( HR=0.95, 95% CI: 0.92-0.99). A 5-year increase in diabetes duration was associated with a 5% increased risk for ischemic stroke ( HR=1.05, 95% CI: 1.02-1.10). Higher HbA1c (per 1 standard deviation increase: HR=1.17, 95% CI: 1.13-1.21) was associated with an increased risk for ischemic stroke. Conclusion:The earlier onset age of diabetes, longer diabetes duration, and high levels of HbA1c are associated with an increased risk for ischemic stroke in type 2 diabetes patients.
7.Mortality risk of nervous system disease attributed to extreme temperature events in Jiangsu Province
Zhengxiong LI ; Dongxia JIANG ; Hao YU ; Renqiang HAN ; Jianhui GUO ; Jing LI ; Jinyi ZHOU ; Shaodan HUANG
Chinese Journal of Epidemiology 2024;45(11):1544-1549
Objective:To assess the influence of extreme temperature events on the mortality risk of nervous system diseases in residents of Jiangsu Province and identify patients with nervous system diseases who are susceptible to extreme temperature events.Methods:Acase-crossover design was used to investigate the cumulative lagged effects of extreme temperature events on the mortality risk of nervous system disease in local residents by using the data on causes of death from nervous system diseases in Jiangsu from 2014 to 2020 with conditional logistic regression model. The final definition of extreme temperature events was established using Akaike information criterion. The heat wave was defined as 4 or more consecutive days with daily mean temperatures above the 92.5 th percentile of annual daily mean temperatures, and the cold spell was defined as 2 or more consecutive days with daily mean temperatures below the 10 th percentile of annual daily mean temperatures. Furthermore, stratified analyses was conducted to compare the effects of extreme temperature events on mortality risk in populations in different gender, age and marital status groups to identify susceptible populations to extreme temperature event. Results:Statistical results showed that the effect values of heat wave and cold spell on the mortality risk of nervous system diseases all peaked at the 7 th day of the cumulative lag, with OR of 1.60 (95% CI: 1.44-1.76) and 1.33 (95% CI: 1.13-1.56), respectively. Heat wave exposure increased mortality risk for individuals with Alzheimer's and Parkinson's diseases, while cold spell exposure increased the mortality risk for those with Alzheimer's disease. Stratified analyses showed that the mortality risk for nervous system disease and Alzheimer's disease was higher in partnerless population after heat wave exposure. Conclusions:Heat wave and cold spell were associated with increased mortality risks for nervous system disease, highlighting the need for improved early warning systems for extreme temperature event. In the context of heat wave, interventions to protect individuals with nervous system disease should prioritize partnerless population.
8.The hard tissue thickness of primary teeth studied by CBCT
Panxi WANG ; Jinyi LI ; Zhengyang LI ; Shuqi ZHANG ; Qingyu GUO ; Fei LIU
Journal of Practical Stomatology 2024;40(5):703-707
Objective:To analyze the hard tissue thickness in the crown of primary teeth by CBCT.Methods:The CBCT imaging data of 47 children were included,and the hard tissue thickness of primary teeth was measured by MIMICS software.SPSS 22.0 was used for data analysis.Results:The average thickness in the mesial surfaces was the smallest(P<0.01),except for the libial surface of maxillary central incisor and the distal surface of mandibular first primary molar.In primary anteriors,the thickness in the same sur-face of maxillary teeth was greater than that of mandibular teeth significantly(P<0.01)except for the libial surface of primary canine.In primary molars,the thickness of hard tissue in the same part of the distal and lingual side of the maxillary teeth was greater than that of the mandibular teeth(P<0.01),and the thickness in the buccal side of maxillary teeth was lower than that of the mandibular teeth(P<0.01).Conclusion:The distribution of hard tissue thickness of primary teeth in different position is different.
9.Gut Microecology and Neurologic Autoimmune Diseases
Acta Medicinae Universitatis Scientiae et Technologiae Huazhong 2024;53(4):539-544
Neurologic autoimmune diseases are a group of disorders in which the immune system attacks the nervous sys-tem resulting in dysfunctional impairments.The role of gut microbiota in the development of neurologic autoimmune diseases has gained widespread attention in recent years.The development of autoimmune diseases is often accompanied by intestinal flo-ra disorders and microbial metabolite abnormalities.Disturbances of the intestinal flora are characterized by changes in the diver-sity and composition of the flora,as well as an increase in pathogens.When intestinal microecological imbalances result in unsuc-cessful maintenance of immune homeostasis,they may be involved in the development of various autoimmune diseases through diverse mechanisms such as neural pathways,endocrine,and immune-inflammatory networks.This article reviews the relation-ship between common neurologic autoimmune diseases(such as multiple sclerosis,optic neuromyelitis optica spectrum disorders,autoimmune encephalitis,myasthenia gravis,Guillain-Barré syndrome,and chronic Guillain-Barré syndrome)and gut microbiota,and explores future therapeutic approaches for neurologic autoimmune diseases that may involve the gut microbiota.
10.Trends of Incidence and Age at Onset of Uterine Corpus Cancer in Jiangsu Cancer Registration Areas from 2009 to 2019
Weiwei LI ; Jianmei DONG ; Zhaojun MA ; Lili CHAI ; Xucheng QIN ; Jinyi ZHOU ; Weigang MIAO ; Ran TAO ; Renqiang HAN
China Cancer 2024;33(12):977-982
[Purpose]To investigate the trends of incidence and age at onset of uterine corpus can-cer in Jiangsu cancer registration areas from 2009 to 2019.[Methods]The continuous monitoring data of uterine corpus cancer from 2009 to 2019 were collected from 16 cancer registries in Jiang-su Province.The crude incidence rate,the age-standardized incidence rate by Chinese standard population(ASIRC),crude and adjusted mean age,and standardized age-specific incidence composition were calculated.The average annual percentage change(AAPC)were analyzed by the Joinpoint regression model.The linear regression model was used to analyze the relationship be-tween mean age at onset and year.The standardized age-specific incidence composition in 2009 and 2019 were compared.[Results]The ASIRC of uterine corpus cancer in all registration areas and in rural areas of Jiangsu Province showed upward trends with AAPC of 1.78%and 2.38%,re-spectively(P<0.05),but not showed in the urban areas(AAPC=1.30%,P>0.05).The crude mean age at onset increased from 56.48 years old in 2009 to 58.26 years old in 2019 with an average annual growth of 0.173 years old(P=0.001).After the population structure standardized,the trends disappeared in all registration areas.[Conclusion]From 2009 to 2019,the standardized incidence rates of uterine corpus cancer were on rise in Jiangsu cancer registration areas,especially in the age group of 50 to 59 years old.


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