1.Expert consensus on peri-implant keratinized mucosa augmentation at second-stage surgery.
Shiwen ZHANG ; Rui SHENG ; Zhen FAN ; Fang WANG ; Ping DI ; Junyu SHI ; Duohong ZOU ; Dehua LI ; Yufeng ZHANG ; Zhuofan CHEN ; Guoli YANG ; Wei GENG ; Lin WANG ; Jian ZHANG ; Yuanding HUANG ; Baohong ZHAO ; Chunbo TANG ; Dong WU ; Shulan XU ; Cheng YANG ; Yongbin MOU ; Jiacai HE ; Xingmei YANG ; Zhen TAN ; Xiaoxiao CAI ; Jiang CHEN ; Hongchang LAI ; Zuolin WANG ; Quan YUAN
International Journal of Oral Science 2025;17(1):51-51
Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans
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Consensus
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Dental Implants
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Mouth Mucosa/surgery*
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Keratins
2.druglikeFilter 1.0: An AI powered filter for collectively measuring the drug-likeness of compounds.
Minjie MOU ; Yintao ZHANG ; Yuntao QIAN ; Zhimeng ZHOU ; Yang LIAO ; Tianle NIU ; Wei HU ; Yuanhao CHEN ; Ruoyu JIANG ; Hongping ZHAO ; Haibin DAI ; Yang ZHANG ; Tingting FU
Journal of Pharmaceutical Analysis 2025;15(6):101298-101298
Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.
3.Development and application on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence.
Wanjie YANG ; Hao FU ; Xiangfei MENG ; Changsong LI ; Ce YU ; Xinting ZHAO ; Weifeng LI ; Wei ZHAO ; Qi WU ; Zheng CHEN ; Chao CUI ; Song GAO ; Zhen WAN ; Jing HAN ; Weikang ZHAO ; Dong HAN ; Zhongzhuo JIANG ; Weirong XING ; Mou YANG ; Xuan MIAO ; Haibai SUN ; Zhiheng XING ; Junquan ZHANG ; Lixia SHI ; Li ZHANG
Chinese Critical Care Medicine 2025;37(5):477-483
The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence
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Humans
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Delivery of Health Care
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Generative Artificial Intelligence
4.Rhizosphere bacterial metabolism of plants growing in landfill cover soil regulates biodegradation of chlorobenzene.
Shangjie CHEN ; Li DONG ; Juan XIONG ; Baozhong MOU ; Zhilin XING ; Tiantao ZHAO
Chinese Journal of Biotechnology 2025;41(6):2451-2466
The regulation of rhizosphere bacterial community structure and metabolism by plants in municipal solid waste landfills is a key to enhancing the biodegradation of chlorobenzene (CB). In this study, we employed biodiversity and metabolomics methods to systematically analyze the mechanisms of different plant species in regulating the rhizosphere bacterial community structure and metabolic features and then improved the methane (CH4) oxidation and CB degradation capacity. The results showed that the rhizosphere soil of Rumex acetosa exhibited the highest CH4 oxidation and CB degradation capacity of 0.08 g/(kg·h) and 1.72×10-6 g/(L·h), respectively, followed by the rhizosphere soil of Amaranthus spinosus L., with the rhizosphere soil of Broussonetia papyrifera showing the weakest activity. Rumex acetosa promoted the colonization of Methylocaldum in the rhizosphere, and the small-molecule organic amine, such as triethylamine and N-methyl-aniline, secreted from the roots of this plant enhanced the tricarboxylic acid cycle and nicotinamide metabolism, thereby increasing microbial activity and improving CH4 and CB degradation efficiency. Conversely, cinnamic acid and its derivatives secreted by Broussonetia papyrifera acted as autotoxins, inhibiting microbial activity and exacerbating the negative effects of salt stress on key microbes such as methanotrophs. This study probed into the mechanisms of typical plants growing in landfill cover soil in regulating bacterial ecological functions, offering theoretical support and practical guidance for the plant-microbe joint control of landfill gas pollution.
Biodegradation, Environmental
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Rhizosphere
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Soil Microbiology
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Waste Disposal Facilities
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Chlorobenzenes/metabolism*
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Bacteria/metabolism*
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Soil Pollutants/metabolism*
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Methane/metabolism*
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Plant Roots/microbiology*
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Amaranthus/microbiology*
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Soil
5.The outcomes of robotic-assisted enucleation for tumors located in uncinate process of pancreas in 16 cases
Weiwei JIN ; Huizheng LU ; Jingtao CHEN ; Qicong ZHU ; Chao LU ; Yuanyu WANG ; Yiping MOU
Chinese Journal of Surgery 2024;62(10):923-928
Objective:To summarize the experience of robot-assisted enucleation of tumors located in uncinate process of pancreas.Methods:This is a retrospective case series study. The clinical data of patients with robot-assisted enucleation of tumors located in the uncinate process of pancreas at the Department of Gastroenterology and Pancreatic Surgery,Zhejiang Provincial People′s Hospital from June 2019 to December 2023 were retrospectively analyzed. A total of 16 cases were enrolled,including 10 males and 6 females,with an age( M(IQR)) of 56(21)years (range: 28 to 77 years),and body mass index of 22.4(2.3)kg/m 2 (range:19.8 to 25.6 kg/m 2). Follow-up was asked every 6 to 12 months after the first 3-month postoperative follow-up through out-patient service or via telephone. Results:In total 16 cases,there were 11 cases with pancreatic enucleation,and 5 cases with resection of the uninate process. The operation time was 70(60) minutes (range: 40 to 165 minutes),and the blood loss was 30(13)ml (range: 10 to 80 ml). The rate of pancreatic fistula was 5/16. The length of stay was 8(6)days (range: 5 to 33 days). The pathological finding included non-functional neuroendocrine tumor( n=3),insulinoma( n=2),introductal papillary mucinous neoplasm ( n=5),solid pseudopapillary neoplasm ( n=2),mucinous cystadenoma ( n=1),serous cystadenoma ( n=2),pseudocyst ( n=1). Follow-up as of March 12, 2024, the follow-up time was 16(12)months (range: 3 to 41 months). All patients had no new onset diabetes and no dyspepsia. Conclusion:Robot-assisted surgical system can be used for local resection of uncinate process tumors of pancreas,and the quality of life of patients can be improved.
6.Cynaroside regulates the AMPK/SIRT3/Nrf2 pathway to inhibit doxorubicin-induced cardiomyocyte pyroptosis
ZOU HAI ; ZHANG MENGYU ; YANG XUE ; SHOU HUAFENG ; CHEN ZHENGLIN ; ZHU QUANFENG ; LUO TING ; MOU XIAOZHOU ; CHEN XIAOYI
Journal of Zhejiang University. Science. B 2024;25(9):756-772
Doxorubicin(DOX)is a commonly administered chemotherapy drug for treating hematological malignancies and solid tumors;however,its clinical application is limited by significant cardiotoxicity.Cynaroside(Cyn)is a flavonoid glycoside distributed in honeysuckle,with confirmed potential biological functions in regulating inflammation,pyroptosis,and oxidative stress.Herein,the effects of Cyn were evaluated in a DOX-induced cardiotoxicity(DIC)mouse model,which was established by intraperitoneal injections of DOX(5 mg/kg)once a week for three weeks.The mice in the treatment group received dexrazoxane,MCC950,and Cyn every two days.Blood biochemistry,histopathology,immunohistochemistry,reverse transcription-quantitative polymerase chain reaction(RT-qPCR),and western blotting were conducted to investigate the cardioprotective effects and potential mechanisms of Cyn treatment.The results demonstrated the significant benefits of Cyn treatment in mitigating DIC;it could effectively alleviate oxidative stress to a certain extent,maintain the equilibrium of cell apoptosis,and enhance the cardiac function of mice.These effects were realized via regulating the transcription levels of pyroptosis-related genes,such as nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3),caspase-1,and gasdermin D(GSDMD).Mechanistically,for DOX-induced myocardial injury,Cyn could significantly modulate the expression of pivotal genes,including adenosine monophosphate-activated protein kinase(AMPK),peroxisome proliferator-activated receptor γ coactivator-1α(PGC-1α),sirtuin 3(SIRT3),and nuclear factor erythroid 2-related factor 2(Nrf2).We attribute it to the mediation of AMPK/SIRT3/Nrf2 pathway,which plays a central role in preventing DOX-induced cardiomyocyte injury.In conclusion,the present study confirms the therapeutic potential of Cyn in DIC by regulating the AMPK/SIRT3/Nrf2 pathway.
7.Diffusion kurtosis imaging combined with intravoxel incoherent motion imaging global histogram parameters to predict the efficacy of neoadjuvant chemotherapy for breast invasive ductal carcinoma
Xianglong CHEN ; Fangsheng MOU ; Zhiming XIE ; Yu QIN ; Hong YANG ; Wenbing ZENG
Journal of Practical Radiology 2024;40(10):1630-1635
Objective To investigate the prediction of diffusion kurtosis imaging(DKI)and intra voxel incoherent motion(IVIM)imaging global histogram parameters for the efficacy of neoadjuvant chemotherapy(NAC)in patients diagnosed with breast invasive ductal carcinoma.Methods A total of 69 patients with breast invasive ductal carcinoma confirmed by penetration pathology were retrospectively selected.Prior to undergoing NAC,all patients underwent sequential scans including MR conventional(T1WI,T2WI),dynamic contrast enhancement(DCE),DKI,and IVIM.After surgery,the patients were divided into significant group(40 patients)and non-significant group(29 patients)based on the efficacy of NAC,which was evaluated using the Miller-Payne(MP)grading method criteria.The differences in global histogram parameters of DKI[mean diffusivity(MD),mean kurtosis(MK)]and IVIM(D value,f value,D*value)between the significant group and the non-significant group were compared by the two-independent sample t-test and Mann-Whitney U test.In addition,the receiver operating characteristic(ROC)curve was plotted,and Spearman rank correlation analysis was used to evaluate the diagnostic efficacy and correlation of DKI and IVIM global histogram parameters in predicting NAC efficacy.The DeLong test was used to compare whether there was statistical significance in area under the curve(AUC)differences among histogram parameters.Results The DKI MD value(90th percentile,mean,median,maximum,range,root mean square),IVIM D value(mean,range,root mean square,median)and D*value(entropy,90th percentile)of patients with breast invasive ductal carcinoma in the significant group with efficacy of NAC were higher than those in the non-significant group,while the DKI MK value(mean and median)were lower than those in the non-significant group,and all the differences mentioned above were statistically significant(P<0.05).The AUC,sensitivity and specificity of DKI combined with IVIM global histogram parameters were the highest,which were 0.816,72.41%and 90.00%,respectively.MD value,D value and D*value were negatively correlated with the efficacy of NAC in breast invasive ductal carcinoma.MK value was positively correlated with NAC efficacy significance.Conclusion DKI combined with IVIM global histogram parameters can effectively predict the efficacy of NAC in patients with breast invasive ductal carcinoma and provide effective value for clinical NAC preoperative efficacy evaluation.
8.Analysis of viral infections in adult acute respiratory infection cases in Shanghai, 2023
Huanru WANG ; Jiabin MOU ; Qi QIU ; Jiajing LIU ; Fang YUAN ; Meihua LIU ; Xiaode TANG ; Jingyi ZHANG ; Jian CHEN ; Min CHEN ; Huanyu WU ; Zheng TENG
Chinese Journal of Experimental and Clinical Virology 2024;38(4):439-445
Objective:To elucidate the etiological and epidemiological characteristics and epidemiological patterns of viral acute respiratory infections (ARI) in Shanghai during 2023, with the aim of providing robust laboratory evidence for effective prevention and control strategies against related respiratory diseases and facilitating risk assessment.Methods:Respiratory pathogens were detected in the clinical surveillance specimens submitted by sentinel hospitals through multiplex PCR, as part of the multi-pathogen surveillance of acute respiratory infections in Shanghai during 2023. The obtained detection result were statistically analyzed in conjunction with sample information.Results:The positive detection rate of viral pathogens in 2023 was 21.17% (984/4 648), with rates of 33.53% (504/1 503) observed in ILI cases and 15.62% (480/3 145) in SARI cases. Influenza A virus (FluA) was the predominant virus detected, accounting for 13.7% (637/4 648). Other viruses identified in the surveillance samples included influenza B virus (Flu B), human rhinovirus/enterovirus (HRV/HEV), respiratory syncytial virus (RSV), human metapneumovirus (HMPV), parainfluenza virus (PIV), adenovirus (ADV) and human bocavirus (HBoV). Regarding temporal distribution, HRV/HEV and RSV exhibited the highest detection rates during the second quarter at 2.27% each (28/1 236). PIV had its peak during the third quarter at a rate of 2.49% (35/1 405), and HMPV showed prevalence mainly during the third and fourth quarters, with detection rates of 2.63% (37/1 405) and 2.35% (32/1 360), respectively.Conclusions:In acute respiratory infection surveillance cases in Shanghai in 2023, Flu A emerged as the predominant respiratory pathogen. The detection rate of HMPV ranked second only to Flu A, while other respiratory viruses such as HRV/HEV, RSV, and PIV were detected during different seasons and co-circulated. The prevalence of various respiratory viruses varied among different infected populations and over times.
9.The outcomes of robotic-assisted enucleation for tumors located in uncinate process of pancreas in 16 cases
Weiwei JIN ; Huizheng LU ; Jingtao CHEN ; Qicong ZHU ; Chao LU ; Yuanyu WANG ; Yiping MOU
Chinese Journal of Surgery 2024;62(10):923-928
Objective:To summarize the experience of robot-assisted enucleation of tumors located in uncinate process of pancreas.Methods:This is a retrospective case series study. The clinical data of patients with robot-assisted enucleation of tumors located in the uncinate process of pancreas at the Department of Gastroenterology and Pancreatic Surgery,Zhejiang Provincial People′s Hospital from June 2019 to December 2023 were retrospectively analyzed. A total of 16 cases were enrolled,including 10 males and 6 females,with an age( M(IQR)) of 56(21)years (range: 28 to 77 years),and body mass index of 22.4(2.3)kg/m 2 (range:19.8 to 25.6 kg/m 2). Follow-up was asked every 6 to 12 months after the first 3-month postoperative follow-up through out-patient service or via telephone. Results:In total 16 cases,there were 11 cases with pancreatic enucleation,and 5 cases with resection of the uninate process. The operation time was 70(60) minutes (range: 40 to 165 minutes),and the blood loss was 30(13)ml (range: 10 to 80 ml). The rate of pancreatic fistula was 5/16. The length of stay was 8(6)days (range: 5 to 33 days). The pathological finding included non-functional neuroendocrine tumor( n=3),insulinoma( n=2),introductal papillary mucinous neoplasm ( n=5),solid pseudopapillary neoplasm ( n=2),mucinous cystadenoma ( n=1),serous cystadenoma ( n=2),pseudocyst ( n=1). Follow-up as of March 12, 2024, the follow-up time was 16(12)months (range: 3 to 41 months). All patients had no new onset diabetes and no dyspepsia. Conclusion:Robot-assisted surgical system can be used for local resection of uncinate process tumors of pancreas,and the quality of life of patients can be improved.
10.Curcumin protects against liver cancer in a mouse model by down-regu-lating HO-1/NQO1
Haijun MOU ; Xingxing CHEN ; An'an LIU ; Li ZHANG ; Jiaxin ZHU ; Hai JIN
Chinese Journal of Pathophysiology 2024;40(3):438-443
AIM:To observe the effect of curcumin on a C57BL/6J mouse liver cancer model induced by N-ni-trosodiethylamine(DEN)combined with carbon tetrachloride(CCl4),and to explore its mechanism.METHODS:Forty young male C57BL/6J mice were intraperitoneally injected with DEN(25 mg/kg)14 d after birth and randomly divided in-to the following 4 groups at the 4th week(10 in each group):model control group and curcumin(100,200 and 400 mg/kg)groups.Ten male mice of the same age were used as normal control group.The mice in model group and curcumin groups were gavaged with 10%CCl4(5 mL/kg)twice a week from the 8th week on.At the same time,the mice in curcumin groups were gavaged with curcumin,and the mice in normal control group were gavaged with the same volume of distilled water once a day for 14 weeks.After administration,the mice were sacrificed,the liver surface was observed,and the number of tumor nodules was compared.The activity of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)in serum was detected by an automatic biochemical instrument.The pathological changes of liver tissues were ob-served by HE staining.The mRNA expression levels of heme oxygenase-1(HO-1)and NAD(P)H-quinone oxidoreductase 1(NQO1)were detected by RT-qPCR,and the protein expression levels of HO-1,NQO1 and Ki67 were detected by Western blot and immunohistochemistry.RESULTS:Compared with normal control group,the body weight of the mice in model group was decreased significantly(P<0.01),the liver index was increased significantly(P<0.01),and the se-rum levels of ALT and AST were increased obviously(P<0.01).There was no significant difference in the mRNA expres-sion levels of HO-1 and NQO1(P>0.05),the protein levels of HO-1 and NQO1 were increased distinctly(P<0.05),and the positive expression rate of Ki67 was increased significantly(P<0.05).After curcumin treatment,the body weight of the mice was significantly increased(P<0.01),the liver index was not changed(P>0.05),and the number of tumor nodules in the liver was decreased significantly(P<0.05 or P<0.01).The serum level of AST was decreased significantly(P<0.01),the mRNA and protein expression levels of HO-1 and NQO1 were decreased significantly(P<0.05),and the posi-tive expression rate of Ki67 was decreased significantly(P<0.05).CONCLUSION:Curcumin significantly protects against liver cancer in a C57BL/6J mouse model induced by DEN combined with CCl4,and its mechanism may be related to the inhibition of HO-1 and NQO1 expression.

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