1.Expert consensus:Prevention and treatment of dental implant biological complications
Xing WANG ; Liping WANG ; Qintao WANG ; Rong SHU ; Dongying XUAN ; Yiqun WU ; Lixin QIU ; Derong ZOU ; Yingliang SONG ; Jiang CHEN ; Yan XU ; Jincai ZHANG ; Yucheng SU ; Linhu GE ; Yufeng XIE
STOMATOLOGY 2025;45(11):801-807
Dental implantology has developed rapidly for over half a century,since pure titanium(99.7%)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95%.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.
2.Expert consensus:Prevention and treatment of dental implant biological complications
Xing WANG ; Liping WANG ; Qintao WANG ; Rong SHU ; Dongying XUAN ; Yiqun WU ; Lixin QIU ; Derong ZOU ; Yingliang SONG ; Jiang CHEN ; Yan XU ; Jincai ZHANG ; Yucheng SU ; Linhu GE ; Yufeng XIE
STOMATOLOGY 2025;45(11):801-807
Dental implantology has developed rapidly for over half a century,since pure titanium(99.7%)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95%.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.
3.Isoliquiritigenin induces HMOX1 and GPX4-mediated ferroptosis in gallbladder cancer cells.
Zeyu WANG ; Weijian LI ; Xue WANG ; Qin ZHU ; Liguo LIU ; Shimei QIU ; Lu ZOU ; Ke LIU ; Guoqiang LI ; Huijie MIAO ; Yang YANG ; Chengkai JIANG ; Yong LIU ; Rong SHAO ; Xu'an WANG ; Yingbin LIU
Chinese Medical Journal 2023;136(18):2210-2220
BACKGROUND:
Gallbladder cancer (GBC) is the most common malignant tumor of biliary tract. Isoliquiritigenin (ISL) is a natural compound with chalcone structure extracted from the roots of licorice and other plants. Relevant studies have shown that ISL has a strong anti-tumor ability in various types of tumors. However, the research of ISL against GBC has not been reported, which needs to be further investigated.
METHODS:
The effects of ISL against GBC cells in vitro and in vivo were characterized by cytotoxicity test, RNA-sequencing, quantitative real-time polymerase chain reaction, reactive oxygen species (ROS) detection, lipid peroxidation detection, ferrous ion detection, glutathione disulphide/glutathione (GSSG/GSH) detection, lentivirus transfection, nude mice tumorigenesis experiment and immunohistochemistry.
RESULTS:
ISL significantly inhibited the proliferation of GBC cells in vitro . The results of transcriptome sequencing and bioinformatics analysis showed that ferroptosis was the main pathway of ISL inhibiting the proliferation of GBC, and HMOX1 and GPX4 were the key molecules of ISL-induced ferroptosis. Knockdown of HMOX1 or overexpression of GPX4 can reduce the sensitivity of GBC cells to ISL-induced ferroptosis and significantly restore the viability of GBC cells. Moreover, ISL significantly reversed the iron content, ROS level, lipid peroxidation level and GSSG/GSH ratio of GBC cells. Finally, ISL significantly inhibited the growth of GBC in vivo and regulated the ferroptosis of GBC by mediating HMOX1 and GPX4 .
CONCLUSION
ISL induced ferroptosis in GBC mainly by activating p62-Keap1-Nrf2-HMOX1 signaling pathway and down-regulating GPX4 in vitro and in vivo . This evidence may provide a new direction for the treatment of GBC.
Animals
;
Mice
;
Carcinoma in Situ
;
Chalcones/pharmacology*
;
Ferroptosis
;
Gallbladder Neoplasms/genetics*
;
Glutathione Disulfide
;
Kelch-Like ECH-Associated Protein 1
;
Mice, Nude
;
NF-E2-Related Factor 2/genetics*
;
Reactive Oxygen Species
;
Humans
4.Recommendations for prescription review of commonly used anti-seizure medications in treatment of children with epilepsy
Qianqian QIN ; Qian DING ; Xiaoling LIU ; Heping CAI ; Zebin CHEN ; Lina HAO ; Liang HUANG ; Yuntao JIA ; Lingyan JIAN ; Zhong LI ; Hua LIANG ; Maochang LIU ; Qinghong LU ; Xiaolan MO ; Jing MIAO ; Yanli REN ; Huajun SUN ; Yanyan SUN ; Jing XU ; Meixing YAN ; Li YANG ; Shengnan ZHANG ; Shunguo ZHANG ; Xin ZHAO ; Jie DENG ; Fang FANG ; Li GAO ; Hong HAN ; Shaoping HUANG ; Li JIANG ; Baomin LI ; Jianmin LIANG ; Jianxiang LIAO ; Zhisheng LIU ; Rong LUO ; Jing PENG ; Dan SUN ; Hua WANG ; Ye WU ; Jian YANG ; Yuqin ZHANG ; Jianmin ZHONG ; Shuizhen ZHOU ; Liping ZOU ; Yuwu JIANG ; Xiaoling WANG
Chinese Journal of Applied Clinical Pediatrics 2023;38(10):740-748
Anti-seizure medications (ASMs) are the main therapy for epilepsy.There are many kinds of ASMs with complex mechanism of action, so it is difficult for pharmacists to examine prescriptions.This paper put forward some suggestions on the indications, dosage forms/routes of administration, appropriateness of usage and dosage, combined medication and drug interaction, long-term prescription review, individual differences in pathophysiology of children, and drug selection when complicated with common epilepsy, for the reference of doctors and pharmacists.
5.Shanghai expert consensus on remote verification system of blood distribution in medical institutions
Zhanshan ZHA ; Mi JIANG ; Yuanshan LU ; Qingqing MA ; Baohua QIAN ; Ruiming RONG ; Chaohui TANG ; Xiaofeng TANG ; Jiang WU ; Rong XIA ; Tongyu ZHANG ; Xi ZHANG ; Rong ZHOU ; Zhengrong ZOU
Chinese Journal of Blood Transfusion 2022;35(8):783-785
In order to solve the difficulties and challenges in the implementation of the original blood distribution and collection regulations caused by the expansion of hospital area, the extension of blood transfer time, the changeability of blood transfer environment, and the strain of personnel due to the increase of workload, as well as to ensure the accuracy of the information throughout blood remote verification and distribution and the safety of clinical blood transfusion, , Shanghai experts related to clinical transfusion and blood management had made a systematic study on the applicable scope and management rules of remote verification of blood distribution and collection, and formulated this Expert Consensus combined with the development status of digital, intelligent and remote communication technologies, so as to provide corresponding guidance for clinical medical institutions in line with the changes in reality.
6.Not Available.
Chuan jin HE ; Rong fang ZHANG ; Lei ZOU ; Bing jie ZHENG ; Dan lu SONG ; Jing feng HUANG ; Jiang wei LAN
Journal of Forensic Medicine 2021;37(5):699-703
7.Establishment of an auxiliary diagnosis system of newborn screening for inherited metabolic diseases based on artificial intelligence technology and a clinical trial
Rulai YANG ; Yanling YANG ; Ting WANG ; Weize XU ; Gang YU ; Jianbin YANG ; Qiaoling SUN ; Maosheng GU ; Haibo LI ; Dehua ZHAO ; Juying PEI ; Tao JIANG ; Jun HE ; Hui ZOU ; Xinmei MAO ; Guoxing GENG ; Rong QIANG ; Guoli TIAN ; Yan WANG ; Hongwei WEI ; Xiaogang ZHANG ; Hua WANG ; Yaping TIAN ; Lin ZOU ; Yuanyuan KONG ; Yuxia ZHOU ; Mingcai OU ; Zerong YAO ; Yulin ZHOU ; Wenbin ZHU ; Yonglan HUANG ; Yuhong WANG ; Cidan HUANG ; Ying TAN ; Long LI ; Qing SHANG ; Hong ZHENG ; Shaolei LYU ; Wenjun WANG ; Yan YAO ; Jing LE ; Qiang SHU
Chinese Journal of Pediatrics 2021;59(4):286-293
Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.
8. Quantitative Study of Yang-tonifying Herbs Distributing to Kidney Meridian by Using Maximum Similarity Algorithm
Xi-wei JIANG ; Jia-li ZOU ; Rong-wu XIANG ; Jing YU ; Xiang GAO ; Jian-kun LIANG
Chinese Journal of Experimental Traditional Medical Formulae 2019;25(18):174-181
Objective: To set a criterion for determining whether herbs distribute to kidney meridian from the perspective of tissue expression of protein receptors, so as to provide new ideas and a new method for the quantitative study of meridian tropism. Method: The 9 Yang-tonifying herbs were selected as the training set, and 2 Yang-tonifying herbs were used as the verification set. The TCMSP2.3,PubChem,Uniprot and other database were used to collect the active compounds and targets of traditional Chinese medicine(TCM). The core target proteins of Yang-tonifying herbs were obtained by using the Maximum Similarity Algorithm for TCM in the training set. The THPA database was used to collect expressions of tissues and target proteins. The empirical regression equation was constructed to explore the tissue distribution of the receptors in the training set, and the criterion for determining whether herbs distribute to kidney meridian was established. The criteria model was tested through validation set data. Result: The herb-active ingredient-protein receptor-tissue expression data library was constructed. A total of 39 core target proteins of Yang-tonifying herbs were acquired. The equations in the training set were highly consistent, with no statistical difference (P=0.999 7). The data of the combined training set was finally fitted to a judgment equation. The model was successfully tested with herbs in the validation set. The accuracy of the model was 100%. Conclusion: This study explored a new method for judging whether TCM distributes to kidney meridian, established an effective criterion model and verified the reliability of the new method. It provides a theoretical basis for the modernization of meridian tropism of traditional Chinese medicine, and is of great significance for the rapid development of traditional Chinese medicine.
9.Effects of T-2 toxin on chondrocyte proliferation and cell cycle
Pan YAN ; Xiaoyan FU ; Hongge WANG ; Yuting JIANG ; Hanwen SHAO ; Ye BU ; Shengzhong RONG ; Ning ZOU ; Yanhui GAO ; Dianjun SUN
Chinese Journal of Endemiology 2018;37(1):35-39
Objective To study the effect of T-2 toxin on proliferation and cell cycle of rat chondrocytes,in order to provide a new idea in molecular mechanism of T-2 toxin-induced chondrocyte damage.Methods Primary chondrocytes of neonatal Wistar rats were isolated and stained by toluidine blue staining and type Ⅱ collagen immunofluorescence staining.The effects of different concentrations of T-2 toxin [0 (control),1,5,10,20,50,100 μg/L)] on proliferation of chondrocytes for 24 h were detected by cell counting kit-8 (CCK-8) method,and control,1 (low dose),5 (medium dose),and 10 μg/L (high dose) T-2 toxin were selected for subsequent experiment;cell cycle changes were detected by flow cytometry;Real-time PCR and Western blotting were used to detect the effects of T-2 toxin on mRNA and protein expressions of proliferating cell nuclear antigen (PCNA) and Cyclin D1 in chondrocytes.Results With increase of T-2 toxin concentration (control,1,5,10,20,50,100 μg/L),the cell survival rates [(100.00 ± 0.00)%,(93.12 ± 1.66)%,(77.12 ± 1.11)%,(59.44 ± 4.09)%,(46.64 ± 3.86)%,(38.15 ± 3.37)%,(33.79 ± 0.99)%] were decreased,and the differences were statistically significant (F =139.21,P <0.05).The percentages of quiescent phase/pre-DNA synthesis phase (G0/G1 phase) ceils in 1,5,10 μg/L T-2 toxin groups [(22.03 ± 0.42)%,(30.54 ± 2.61)%,(36.01 ± 1.51)%] were significantly higher than that in control group [(13.79 ± 1.65)%,P < 0.05];the percentages of DNA synthesis phase (S phase) cells [(60.27 ± 3.53)%,(53.88 ±4.38)%,(49.55 ± 2.49)%] were significantly lower than that in control group [(76.72 ± 4.24)%,P < 0.05].The differences of mRNA levels of PCNA and Cyclin D1 between groups were statistically significant (F =46.80,17.97,P < 0.05),and 5,10 μg/L T-2 toxin groups (0.77 ± 0.13,0.79 ± 0.08,0.60 ± 0.07,0.56 ± 0.05) were lower than the control group (0.99 ± 0.02,1.01 ± 0.01,P < 0.05).The expressions of PCNA protein in 5,10 μg/L T-2 toxin groups (0.69 ± 0.03,0.49 ± 0.03) were lower than that in control group (0.92 ± 0.05,P < 0.05);the expressions of Cyclin D1 protein in 1,5,10 μg/L T-2 toxin groups (0.80 ± 0.06,0.60 ± 0.07,0.33 ± 0.13) were lower than that in control group (0.95 ± 0.07,P < 0.05).Conclusion T-2 toxin can inhibit the proliferation of chondrocytes,which may be worked through influencing the expression of cell cycle protein,causing cell cycle arrest,thereby inhibiting DNA synthesis.
10.Balance of ruxolitinib to anti-GVHD and GVL effect after allo-HSCT
Sihua DANG ; Qin LIU ; Zhaodong ZHONG ; Yong YOU ; Jieke CUI ; Lin JIANG ; Na SHEN ; Rong XIE ; Shu ZHOU ; Wen LIU ; Ping ZOU
Chinese Journal of Organ Transplantation 2018;39(6):333-337
Objective To observe the anti-relapse and anti-graft versus host disease (GVHD) effects and side effects of ruxolitinib on patients who have relapsed leukemia after allo-hematopoietic stem cell transplantation (HSCT).Methods The clinical data of four patients sufferring from relapsed leukemia were collected and analyzed retrospectively.Three cases had a positive gene and 1 case had a extramedullary recurrence.All of them had serious GVHD involving multiparts,as the result of attenuating immunosuppressant aggressively.One case had central nervous system leukemia before allo-HSCT.Those patients were treated with ruxolitinib,according to the degree of GVHD,the treatment strategy and curative effect of GVHD,and the residual condition of original leukemia.Then,the degree of GVHD,the residual condition of original leukemia and the side effects of ruxolitinib were revaluated once a month after taking ruxolitinib.Results One case achieved completer remission (CR) and there partial remission (PR) in consideration of GVHD.Up to date,2 cases had no relapse in any level and 2 cases replased according to any of the results related to bone marrow aspiration.Conclusion Ruxolitinib is effective in patients with GVHD after allo-HSCT and doesn't influence GVL effect or increase the risk of relapse at the same time.Ruxolitinib doesn't have obvious side effects when treating GVHD.

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