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| 1 | 1990—2017年中国伤害负担:2017年全球疾病负担研究结果(摘译)显示文摘伤害是全球性的公共卫生挑战,涉及各年龄组和不同性别的人群。过去三十年来,中国经济快速发展,人口老龄化趋势加重,社会呈现出城镇化、机动化和老龄化等特征。随着人们生活环境和生活方式的改变,伤害已跃居人群致死原因第五位,仅排在恶性肿瘤、心脑血管疾病、呼吸系统疾病和心肌梗死之后。据估计,中国每年在伤害方面消耗的直接医疗费用约为650亿元人民币. | 林泽婷(译) 吕来文(译) 黄晓晴(译) 李丽萍(审校) Duan Leilei Ye Pengpeng Juanita A Haagsma Jin Ye Wang Yuan Er Yuliang Deng Xiao Gao Xin Ji Cuirong Wang Linhong Marlena S Bannick W Cli Mountjoy-Venning Caitlin N Hawley Zichen Liu Mari Smith Spencer L James Theo Vos Christopher J L Murray | 2020 | 伤害医学(电子版)2020，9，2： | 15 |
| 2 | Epstein-Barr virus-encoded RNAs as a survival predictor in nasopharyngeal carcinoma显示文摘 | Ke Kengjian Wang Haiyun Fu Sha Zhang Zichen Duan Liping Liu Dabo Ye Jin | 2014 | Chinese Medical Journal2014，，2： | 5 |
| 3 | Bioresponsive nanotherapy for preventing dental caries by inhibiting multispecies cariogenic biofilms显示文摘Early childhood caries(ECC)is a public healthcare concern that greatly reduces the quality of life of young children.As a leading factor of ECC,cariogenic biofilms are composed of acidogenic/aciduric pathogens and extracellular polysaccharides(EPSs),creating an acidic and protected microenvironment.Antimicrobial photodynamic therapy(aPDT)is a noninvasive,painless,and efficient therapeutic approach that is suitable for treating ECC.However,due to the hyperfine structure of cariogenic biofilms,most photosensitizers(PSs)could not access and penetrate deeply in biofilms,which dramatically hamper their efficiency in the clinic.Herein,bioresponsive nanoparticle loaded with chlorin e6(MPP-Ce6)is developed,which largely increases the penetration depth(by over 75%)and retention(by over 100%)of PS in the biofilm compared with free Ce6.Furthermore,MPP-Ce6-mediated aPDT not only kills the bacteria in preformed biofilms but also inhibits multispecies biofilm formation.A rampant caries model is established to mimic ECC in vivo,where the population of cariogenic bacteria is decreased to 10%after MPP-Ce6-mediated aPDT.Importantly,the number and severity of carious lesions are efficiently reduced via Keyes’scoring and micro-CT analysis.This simple but effective strategy can serve as a promising approach for daily oral hygiene in preventing ECC. | Danfeng Liu Xianbin Ma Yaoting Ji Rourong Chen Shuhui Zhou Hantao Yao Zichen Zhang Mengjie Ye Zhigang Xu Minquan Du | 2022 | Bioactive Materials2022，7，8： | 2 |
| 4 | Development and validation of a predictive model for endocervical curettage in patients referred for colposcopy:A multicenter retrospective diagnostic study in China显示文摘Objective:This study aimed to develop a nomogram that can predict occult high-grade squamous intraepithelial lesions or worse(HSIL+)and determine the need for endocervical curettage(ECC)in patients referred for colposcopy.Methods:This retrospective multicenter study included 4,149 patients who were referred to any one of six tertiary hospitals in China for colposcopy between January 2020 and November 2021 because of abnormal screening results.ECC data were extracted from the medical records.Univariate and multivariate logistic regression analyses were performed to identify factors that could predict HSIL+on ECC.Patients were randomly assigned to a training set or to an internal validation set for performance and comparability testing.The model was externally validated and tested in patients from two additional hospitals.The nomogram was assessed in terms of discrimination and calibration and subjected to decision curve analysis.Results:HSIL+was found on ECC in 38.8%(n=388)of cases.Our predictive nomogram included age group,cytology,human papillomavirus(HPV)status,visibility of the cervix and colposcopic impression.The nomogram had good overall discrimination,which was internally validated[area under the receiver-operator characteristic(AUC),0.839;95%confidence interval(95%CI),0.773-0.904].In terms of external validation,the AUC was 0.843(95%CI,0.773-0.912)for the consecutive sample and 0.843(95%CI,0.783-0.902)for the comparative sample.Calibration analysis suggested good consistency between predicted and observed probabilities.Decision curve analysis suggested this nomogram would be clinically useful with almost the entire range of threshold probabilities.Conclusions:This internally and externally validated nomogram can be easily applied and incorporates multiple clinically relevant variables that can be used to identify patients with occult HSIL+who need ECC. | Peng Xue Bingrui Wei Samuel Seery Qing Li Zichen Ye Yu Jiang Youlin Qiao | 2022 | Chinese Journal of Cancer Research2022，34，4： | 1 |
| 5 | Pd@Ir-LOD multienzyme utilizing endogenous lactate consumption cooperates with photothermal for tumor therapy显示文摘Lactic acid(LA)plays a major role in the occurrence,development,and spread of cancer.Enlightened by its high accumulation in tumor site,a novel lactate oxidase(LOD)conjugated two-dimensional Pd@Ir nanoplatform(Pd@Ir-LOD,PIL)was fabricated to combine cascade reaction with photothermal for tumor therapy.In detail,the overexpressed LA in tumor microenvironment(TME)was a key factor to activate the PIL-based cascade reaction:(1)Plenty of H_(2)O_(2)could be generated from LA by the catalysis of LOD with O_(2);(2)potent·OH was produced from H_(2)O_(2)due to the peroxidase(POD)-like activity of PIL;(3)meantime,PIL’s catalase(CAT)-like activity could decompose part H_(2)O_(2)into O_(2)to achieve the purpose of LA cyclic oxidization.Moreover,the reduced glutathione(GSH)scavenging capability of PIL might protect the produced reactive oxygen species(ROS)from being cleared to further improve the cascade therapeutic effect.More importantly,PIL had excellent photothermal conversion efficiency(37.35%)and manifested a surprising temperature rising effect in tumor.Taken together,the decreasing LA concentration,accumulation of high-toxic ROS,the depletion of GSH together with the higher intra-tumoral temperature potently enhanced in vivo antitumor therapy.Therefore,a promising therapeutic tactic based on PIL integrating endogenous LA consumption,chemodynamic therapy(CDT),and photothermal therapy(PTT)has been put forward. | Zichen Ye Yun Li Jingchao Li Xinyan Hu Jinyang Zheng Gongxin Zhang Sijin Xiang Tianbao Zhu Zhide Guo Xiaolan Chen | 2024 | Nano Research2024，17，1： | 0 |
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