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Science China(Life Sciences) 2023年第5期66卷 893-1066页

作者： Aging Biomarker Consortium Hainan bao jiani Cao Mengting Chen Min Chen Wei Chen xiao Chen Yanhao Chen yu Chen yutian Chen zhiyang Chen Jagadish K Chhetri Yingjie Ding junlin feng jun Guo Mengmeng Guo Chuting He yujuan Jia Haiping jiang Ying Jing Dingfeng Li Jiaming Li Jingyi Li Qinhao Liang Rui Liang feng Liu xiaoqian Liu Zuojun Liu Oscar junhong Luo jianwei Lv Jingyi Ma Kehang Mao Jiawei Nie Xinhua Qiao Xinpei Sun xiaoqiang Tang jianfang Wang Qiaoran Wang Siyuan Wang Xuan Wang Yaning Wang yuhan Wang Rimo Wu Kai Xia Fu-Hui xiao Lingyan Xu Yingying Xu Haoteng Yan Liang Yang Ruici Yang yuanxin Yang Yilin Ying Le Zhang Weiwei Zhang Wenwan Zhang Xing Zhang Zhuo Zhang Min Zhou Rui Zhou Qingchen Zhu Zhengmao Zhu feng Cao Zhongwei Cao Piu Chan Chang Chen Guobing Chen Hou-Zao Chen jun Chen Weimin Ci Bi-Sen Ding Qiurong Ding feng Gao Jing-dong JHan Kai Huang Zhenyu Ju Qing-Peng Kong Ji Li jian Li Xin Li baohua Liu feng Liu Lin Liu Qiang Liu Qiang Liu Xingguo Liu Yong Liu Xianghang Luo Shuai Ma Xinran Ma zhiyong Mao Jing Nie Yaojin Peng Jing Qu jie Ren Ruibao Ren Moshi Song Zhou Songyang Yi Eve Sun yu Sun Mei Tian Shusen Wang Si Wang Xia Wang xiaoning Wang Yan-jiang Wang yunfang Wang Catherine CL Wong Andy Peng Xiang Yichuan xiao Zhengwei Xie Daichao Xu Jing Ye Rui yue Cuntai Zhang Hongbo Zhang Liang Zhang Weiqi Zhang Yong Zhang yun-Wu Zhang Zhuohua Zhang Tongbiao Zhao yuzheng Zhao Dahai Zhu Weiguo zou Gang Pei Guang-Hui Liu Aging Biomarker Consortium(ABC) Beijing 100101China CAS Key Laboratory of Genomic and Precision Medicine Beijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijing 100101China State Key Laboratory of Stem Cell and Reproductive Biology Institute of ZoologyChinese Academy of SciencesBeijing 100101China Department of Dermatology Xiangya HospitalCentral South UniversityChangsha 410008China Hunan Key Laboratory of Aging Biology Xiangya HospitalCentral South UniversityChangsha 410008China National Clinical Research Center for Geriatric Disorders Xiangya HospitalCentral South UniversityChangsha 410008China Clinic Center of Human Gene Research Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Hubei Clinical Research Center of Metabolic and Cardiovascular Disease Huazhong University of Science and TechnologyWuhan 430022China Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging Huazhong University of Science and TechnologyWuhan 430022China Stem Cell Translational Research Center Tongji HospitalTongji University School of MedicineShanghai 200065China Department of Nuclear Medicine Daping HospitalThird Military Medical UniversityChongqing 400042China CAS Key Laboratory of Nutrition Metabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200031China Shanghai Key Laboratory of Maternal Fetal Medicine Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalFrontier Science Center for Stem Cell ResearchShanghai Key Laboratory of Signaling and Disease ResearchSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China The Department of Endovascular Surgery The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China Key Laboratory of Regenerative Medicine of Ministry of Education Institute of Ageing and Regenerative MedicineJ

Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological *** a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly *** immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research:How old are we?Why do we get old?And how can we age slower?This review aims to address this ***,we summarize our current knowledge of biomarkers developed for cellular,organ,and organismal levels of aging,comprising six pillars:physiological characteristics,medical imaging,histological features,cellular alterations,molecular changes,and secretory *** fulfill all these requisites,we propose that aging biomarkers should qualify for being specific,systemic,and clinically relevant.

关键词： aging senescence biomarker clock

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The first data release(DR1) of the LAMOST regular survey

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Research in Astronomy and Astrophysics 2015年第8期15卷 1095-1124页

作者： A-Li Luo Yong-Heng Zhao Gang Zhao Li-Cai Deng xiao-Wei Liu Yi-Peng Jing Gang Wang Hao-Tong Zhang jian-Rong Shi Xiang-Qun Cui Yao-Quan Chu Guo-Ping Li Zhong-Rui Bai yue Wu Yan Cai Shu-yun Cao Zi-Huang Cao Jeffrey L.Carlin Hai-yuan Chen jian-jun Chen Kun-Xin Chen Li Chen Xue-Lei Chen xiao-Yan Chen Ying Chen Norbert Christlieb Jia-Ru Chu Chen-Zhou Cui Yi-Qiao dong Bing Du dong-Wei Fan Lei feng jian-Ning Fu Peng Gao Xue-Fei Gong Bo-Zhong Gu Yan-Xin Guo Zhan-Wen Han Bo-Liang He Jin-Liang Hou Yong-Hui Hou Wen Hou Hong-Zhuan Hu Ning-Sheng Hu Zhong-Wen Hu zhi-Ying Huo Lei Jia Fang-Hua jiang Xiang jiang zhi-Bo jiang Ge Jin xiao Kong Xu Kong Ya-Juan Lei Ai-Hua Li Chang-Hua Li Guang-Wei Li Hai-Ning Li jian Li Qi Li Shuang Li Sha-Sha Li Xin-Nan Li Yan Li Yin-Bi Li Ye-Ping Li yuan Liang Chien-Cheng Lin Chao Liu Gen-Rong Liu Guan-Qun Liu zhi-Gang Liu Wen-zhi Lu yu Luo Yin-Dun Mao Heidi Newberg Ji-jun Ni Zhao-Xiang Qi Yong-jun Qi Shi-Yin Shen Huo-Ming Shi Jing Song Yi-Han Song Ding-Qiang Su Hong-jun Su Zheng-Hong Tang Qing-Sheng Tao yuan Tian Dan Wang Da-Qi Wang feng-Fei Wang Guo-Min Wang Hai Wang Hong-Chi Wang jian Wang Jia-Ning Wang jian-Ling Wang jian-Ping Wang jun-Xian Wang Lei Wang Meng-Xin Wang Shou-Guan Wang Shu-Qing Wang Xia Wang Ya-Nan Wang You Wang yue-Fei Wang You-Fen Wang Peng Wei Ming-zhi Wei Hong Wu Ke-Fei Wu Xue-Bing Wu yu-Zhong Wu xiao-Zheng Xing Ling-Zhe Xu Xin-Qi Xu Yan Xu Tai-Sheng Yan De-Hua Yang Hai-feng Yang Hui-Qin Yang Ming Yang Zheng-Qiu Yao Yong yu Hui yuan Hai-Bo yuan Hai-Long yuan Wei-Min yuan Chao Zhai En-Peng Zhang Hua-Wei Zhang jian-Nan Zhang Li-Pin Zhang Wei Zhang Yong Zhang Yan-Xia Zhang Zheng-Chao Zhang Ming Zhao Fang Zhou Xu Zhou jie Zhu Yong-Tian Zhu Si-Cheng zou Fang Zuo National Astronomical Observatories Chinese Academy of Sciences Department of Astronomy Peking University Shanghai Astronomical Observatory Chinese Academy of Sciences Nanjing Institute of Astronomical Optics & Technology National Astronomical ObservatoriesChinese Academy of Sciences University of Science and Technology of China Department of Physics Applied Physics and AstronomyRensselaer Polytechnic InstituteTroyNY 12180USA Department of Physics and Astronomy Earlham CollegeRichmondIN 47374USA Universitt Heidelberg Zentrum für AstronomieLandessternwarteKnigstuhl 1269117 HeidelbergGermany Department of Astronomy Beijing Normal University yunnan Observatories Chinese Academy of Sciences Purple Mountain Observatory Chinese Academy of Sciences

The Large sky Area Multi-Object Fiber Spectroscopic Telescope（LAMOST） general survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and collect 10 million spectra of stars, galaxies and QSOs. Objects in both the pilot survey and the first year regular survey are included in the LAMOST DR1. The pilot survey started in October 2011 and ended in june 2012, and the data have been released to the public as the LAMOST Pilot Data Release in August 2012. The regular survey started in September 2012, and completed its first year of operation in june 2013. The LAMOST DR1 includes a total of 1202 plates containing 2 955 336 spectra, of which 1 790 879 spectra have observed signalto-noise ratio（SNR） ≥ 10. All data with SNR ≥ 2 are formally released as LAMOST DR1 under the LAMOST data policy. This data release contains a total of 2 204 696 spectra, of which 1 944 329 are stellar spectra, 12 082 are galaxy spectra and 5017 are quasars. The DR1 not only includes spectra, but also three stellar catalogs with measured parameters： late A,FGK-type stars with high quality spectra（1 061 918 entries）, A-type stars（100 073 entries）, and M-type stars（121 522 entries）. This paper introduces the survey design, the observational and instrumental limitations, data reduction and analysis, and some caveats. A description of the FITS structure of spectral files and parameter catalogs is also provided.

关键词： techniques: spectroscopic survey—data release—catalog

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A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus(2019-nCoV) infected pneumonia(standard version)

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Military Medical Research 2020年第1期7卷 1-22页

作者： Ying-Hui Jin Lin Cai Zhen-Shun Cheng Hong Cheng Tong Deng Yi-Pin Fan Cheng Fang Di Huang Lu-Qi Huang Qiao Huang Yong Han Bo Hu Fen Hu Bing-Hui Li Yi-Rong Li Ke Liang Li-Kai Lin Li-Sha Luo Jing Ma Lin-Lu Ma zhi-Yong Peng yun-bao Pan Zhen-yu Pan Xue-Qun Ren Hui-Min Sun Ying Wang yun-yun Wang Hong Weng Chao-jie Wei dong-Fang Wu jian Xia Yong Xiong Hai-Bo Xu xiao-Mei Yao yu-feng yuan Tai-Sheng Ye xiao-Chun Zhang Ying-Wen Zhang Yin-Gao Zhang Hua-Min Zhang Yan Zhao Ming-Juan Zhao Hao Zi Xian-Tao Zeng Yong-Yan Wang Xing-Huan Wang 无 Center for Evidence-Based and Translational Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China Institute of Hospital Management Wuhan UniversityWuhan 430071China Department of Respiratory Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Pharmacy Zhongnan Hospital of Wuhan UniversityWuhan 430071China Institute of Evidence-Based Medicine and Knowledge Translation Henan UniversityKaifeng 475000China China Academy of Chinese Medical Sciences Beijing 100700China China Center for Evidence Based Traditional Chinese Medicine(CCEBTCM) Beijing 100700China Department of Critical Care Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Clinical Laboratory Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Infectious Diseases Zhongnan Hospital of Wuhan UniversityWuhan 430071China Division of Medical Affairs Zhongnan Hospital of Wuhan UniversityWuhan 430071China Division of Nursing Affairs Zhongnan Hospital of Wuhan UniversityWuhan 430071China Office of Nosocomial Infection Control Zhongnan Hospital of Wuhan UniversityWuhan 430071China Emergency Center Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Radiology Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Health Research Methods Evidenceand ImpactMcMaster UniversityHamiltonON L8S 4L8Canada Department of Traditional Chinese Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China Global Health Institute Wuhan UniversityWuhan 430072China the Zhongnan Hospital of Wuhan University Novel Coronavirus Management and Research Team Evidence-Based Medicine Chapter of China International Exchange and Promotive Association for Medical and Health Care(CPAM)

In December 2019, a new type viral pneumonia cases occurred in Wuhan, Hubei Province;and then named "2019 novel coronavirus(2019-nCoV)" by the World Health Organization(WHO) on 12 January 2020. For it is a never been experienced respiratory disease before and with infection ability widely and quickly, it attracted the world’s attention but without treatment and control manual. For the request from frontline clinicians and public health professionals of 2019-nCoV infected pneumonia management, an evidence-based guideline urgently needs to be developed. Therefore, we drafted this guideline according to the rapid advice guidelines methodology and general rules of WHO guideline development;we also added the first-hand management data of Zhongnan Hospital of Wuhan University. This guideline includes the guideline methodology, epidemiological characteristics, disease screening and population prevention, diagnosis, treatment and control(including traditional Chinese Medicine), nosocomial infection prevention and control, and disease nursing of the 2019-nCoV. Moreover, we also provide a whole process of a successful treatment case of the severe 2019-nCoV infected pneumonia and experience and lessons of hospital rescue for 2019-nCoV infections. This rapid advice guideline is suitable for the first frontline doctors and nurses, managers of hospitals and healthcare sections, community residents, public health persons, relevant researchers, and all person who are interested in the 2019-nCoV.

关键词： 2019 novel coronavirus 2019-nCoV Respiratory disease Pneumonia Infectious diseases Rapid advice guideline Clinical practice guideline Evidence-based medicine

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Timing analysis of the black hole candidate EXO 1846–031 with Insight-HXMT monitoring

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Research in Astronomy and Astrophysics 2021年第3期21卷 193-204页

作者： He-Xin Liu yue Huang Guang-Cheng xiao Qing-Cui Bu Jin-Lu Qu Shu Zhang Shuang-Nan Zhang Shu-Mei Jia Fang-jun Lu Xiang Ma Lian Tao Wei Zhang Li Chen Li-Ming Song Ti-Pei Li yu-Peng Xu Xue-Lei Cao Yong Chen Cong-Zhan Liu Ce Cai zhi Chang Gang Chen Tian-Xiang Chen Yi-bao Chen yu-Peng Chen Wei Cui Wei-Wei Cui Jing-Kang Deng Yong-Wei dong yuan-yuan Du Min-Xue Fu Guan-Hua Gao He Gao Min Gao Ming-yu Ge yu-dong Gu Ju Guan Cheng-Cheng Guo Da-Wei Han Jia Huo Lu-Hua jiang Wei-Chun jiang Jing Jin Yong-jie Jin Ling-Da Kong Bing Li Cheng-Kui Li Gang Li Mao-Shun Li Wei Li Xian Li xiao-Bo Li Xu-Fang Li Yang-Guo Li Zheng-Wei Li xiao-Hua Liang Jing-yuan Liao Bai-Sheng Liu Guo-Qing Liu Hong-Wei Liu xiao-Jing Liu Yi-Nong Liu Bo Lu Xue-feng Lu Qi Luo Tao Luo Bin Meng Yi Nang jian-Yin Nie Ge Ou Na Sai Ren-Cheng Shang Xin-Ying Song Liang Sun Ying Tan You-Li Tuo Chen Wang Guo-feng Wang Juan Wang Ling-jun Wang Weng-Shuai Wang yu-Sa Wang Xiang-Yang Wen Bai-Yang Wu Bo-Bing Wu Mei Wu Shuo xiao Shao-Lin Xiong He Xu Jia-Wei Yang Sheng Yang Yan-Ji Yang Yi-jung Yang Qi-Bin Yi Qian-Qing Yin yuan You Ai-Mei Zhang Cheng-Mo Zhang Fan Zhang Hong-Mei Zhang Juan Zhang Tong Zhang Wan-Chang Zhang Wen-Zhao Zhang Yi Zhang Yi-Fei Zhang Yong-jie Zhang yuan-Hang Zhang yue Zhang Zhao Zhang zhi Zhang Zi-Liang Zhang Hai-Sheng Zhao xiao-Fan Zhao Shi-jie Zheng Yao-Guang Zheng Deng-Ke Zhou jian-feng Zhou yu-Xuan Zhu Ren-Lin Zhuang yue Zhu Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Chinese Academy of SciencesBeijing 100049China Institut fur Astronomie und Astrophysik Kepler Center for Astro and Particle PhysicsEberhard Karls Universität72076 TubingenGermany Department of Astronomy Beijing Normal UniversityBeijing 100088China Department of Astronomy Tsinghua UniversityBeijing 100084China Department of Physics Tsinghua UniversityBeijing 100084China Department of Engineering Physics Tsinghua UniversityBeijing 100084China Key Laboratory of Space Astronomy and Technology National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China College of Physics Sciences&Technology Hebei UniversityBaoding 071002Hebei ProvinceChina

We present the observational results from a detailed timing analysis of the black hole candidate EXO 1846-031 during its outburst in 2019 with the observations of Insight-HXMT,NICER and *** outburst can be classified roughly into four different ***-C quasi-periodic oscillations(QPOs)observed by NICER(about 0.1-6 Hz)and Insight-HXMT(about 0.7-8 Hz)are also reported in this ***,we study various physical quantities related to QPO *** QPO rms-frequency relationship in the energy band 1-10 keV indicates that there is a turning pointing in frequency around2 Hz,which is similar to that of GRS 1915+105.A possible hypothesis for the relationship above may be related to the inclination of the source,which may require a high inclination to explain *** relationships between QPO frequency and QPO rms,hardness,total fractional rms and count rate have also been found in other transient sources,which can indicate that the origin of type-C QPOs is non-thermal.

关键词： X-ray binaries black hole candidate QPO EXO 1846–031

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Lijiang 2.4-meter Telescope and its instruments

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Research in Astronomy and Astrophysics 2019年第10期19卷 95-108页

作者： Chuan-jun Wang Jin-Ming Bai yu-feng Fan Ji-Rong Mao Liang Chang yu-Xin Xin Ju-Jia Zhang bao-Li Lun jian-Guo Wang Xi-Liang Zhang Mei Ying Kai-Xing Lu xiao-Li Wang Kai-Fan Ji Ding-Rong Xiong xiao-Guang yu Xu Ding Kai Ye Li-feng Xing Wei-Min Yi Liang Xu Xiang-Ming Zheng yuan-jie feng Shou-Sheng He Xue-Li Wang Zhong Liu dong Chen jun Xu Song-Nian Qin Rui-Long Zhang Hui-Song Tan zhi Li Ke Lou jian Li Wei-Wei Liu yunnan Observatories Chinese Academy of SciencesKunming 650216China Key Laboratory for the Structure and Evolution of Celestial Objects Chinese Academy of Sciences Kunming 650216 China Center for Astronomical Mega-Science Chinese Academy of Sciences Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China Astrophysics Center of Guangzhou University Guangzhou 510006China

The Lijiang 2.4-meter Telescope(LJT), the largest common-purpose optical telescope in China,has been available to the worldwide astronomical community since 2008. It is located at the Gaomeigu site,Lijiang Observatory(LJO), in the southwest of China. The site has very good observational *** its 10-year operation, several instruments have been equipped on the LJT. Astronomers can perform both photometric and spectral observations. The main scientific goals of LJT include recording photometric and spectral evolution of supernovae, reverberation mapping of active galactic nuclei, investigating the physical properties of binary stars and near-earth objects(comets and asteroids), and identification of exoplanets and all kinds of transients. Until now, the masses of 41 high accretion rate black holes have been measured, and more than 168 supernovae have been identified by the LJT. More than 190 papers related to the LJT have been published. In this paper, the general observation conditions of the Gaomeigu site is introduced at first. Then, the structure of the LJT is described in detail, including the optical, mechanical, motion and control system. The specification of all the instruments and some detailed parameters of the YFOSC is also presented. Finally, some important scientific results and future expectations are summarized.

关键词： telescopes Lijiang 2.4-m Telescope-instrumentation photometers-instrumentation spectrographs

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Expert consensus on COVID-19 vaccination in children

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World Journal of Pediatrics 2021年第5期17卷 449-457页

Coronavirus disease 2019(COVID-19)is a public health disaster that has not been encountered for a hundred *** January 12,2020,the World Health Organization(WHO)confirmed and named the coronavirus which caused unexplained pneumonia as 2019 novel coronavirus(2019-nCoV).Since then,the disease caused by this virus had been named as coronavirus disease 2019(COVID-19).On February 11,2020,the International Committee on Taxonomy of Viruses announced that the English name of the novel coronavirus was severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)[1].At present,SARS-CoV-2 infection is still rampant *** of September 10,2021,there were about 222 million confirmed cases of COVID-19 and more than 4.5 million deaths worldwide[2].According to the American Centers for Disease Control and Prevention,by July 29,2021,4.19 million pediatric COVID-19 cases had been reported in the United States。

关键词： acute vaccination respiratory

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Data release of the LAMOST pilot survey

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Research in Astronomy and Astrophysics 2012年第9期12卷 1243-1246页

作者： A-Li Luo Hao-Tong Zhang Yong-Heng Zhao Gang Zhao Xiang-Qun Cui Guo-Ping Li Yao-Quan Chu jian-Rong Shi Gang Wang jian-Nan Zhang Zhong-Rui Bai xiao-Yan Chen feng-Fei Wang Yan-Xin Guo jian-jun Chen Bing Du xiao Kong Ya-Juan Lei Yin-Bi Li Yi-Han Song yue Wu Yan-Xia Zhang Xin-Lin Zhou Fang Zuo Peng Du Lin He Wen Hou Yi-Qiao dong jian Li Guang-Wei Li Shuang Li Jing Song yuan Tian Meng-Xin Wang Yong-Hui Hou zhi-Ying Huo Hong-Zhuan Hu Ning-Sheng Hu Zhong-Wen Hu Lei Jia Fang-Hua jiang Xiang jiang Zi-Bo jiang Ge Jin Ai-Hua Li Qi Li Yin-Dun Mao Zheng-Hong Tang Qing-Sheng Tao Liang-Ping Tu Da-Qing Wang Dan Wang jian-Ping Wang Lei Wang Shou-Guan Wang Shu-Qing Wang Ya-Nan Wang You Wang yue-Fei Wang Ming-zhi Wei Xiang-Xiang Xue xiao-Zheng Xing Ling-Zhe Xu Xin-Qi Xu Yan Xu De-Hua Yang Shi-Hai Yang Zheng-Qiu Yao Yong yu Hui yuan Chao Zhai En-Peng Zhang Jing Zhang Li-Ping Zhang WeiZhang Yong Zhang Zhen-Chao Zhang Ming Zhao Fang Zhou Yong-Tian Zhu jie Zhu Si-Cheng zou National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China lal @ lamost o rg Nanjing Institute of Astronomical Optics and Technology National Astronomical ObservatoriesChinese Academy of Sciences Nanjing 210042 China University of Science and Technologyof China Hefei 230026 China Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai 200030 China Institute of Architecture Design and Research Chinese Academy of Sciences Beijing 100190China

This paper describes the data release of the LAMOST pilot survey, which includes data reduction, calibration, spectral analysis, data products and data access. The accuracy of the released data and the information about the FITS headers of spectra are also introduced. The released data set includes 319 000 spectra and a catalog of these objects.

关键词： techniques: spectroscopic survey — data reduction — data release

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由超拍电子伏特加速器产生的超高能伽马射线气泡

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Science Bulletin 2024年第4期69卷 449-457页

作者： LHAASO Collaboration Zhen Cao Chuandong Gao Cong Li Ruo-yu Liu Ruizhi Yang 不详 Key Laboratory of Particle Astrophyics&Experimental Physics Division&Computing Center Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China TIANFU Cosmic Ray Research Center ChengduChina Institute of Frontier and Interdisciplinary Science Shandong UniversityQingdao 266237China School of Astronomy and Space Science Nanjing UniversityNanjing 210023China University of Science and Technology of China Hefei 230026China

We report the detection of aγ-ray bubble spanning at least 100deg2 in ultra-high energy(UHE)up to a few PeV in the direction of the star-forming region Cygnus X,implying the presence super PeVatron(s)accelerating protons to at least 10 PeV.A log-parabola form with the photon indexΓ(E)=(2.71±0.02)+(0.11±0.02)×log10(E/10 TeV)is found fitting the gamma-ray energy spectrum of the bubble *** sources,“hot spots”correlated with very massive molecular clouds,and a quasi-spherical amorphousγ-ray emitter with a sharp central brightening are observed in the *** the core of~0.5°,spatially associating with a region containing massive OB association(Cygnus OB2)and a microquasar(Cygnus X-3),as well as previously reported multi-TeV sources,an enhanced concentration of UHEγ-rays is observed with 2 photons at energies above 1 *** general feature of the bubble,the morphology,and the energy spectrum,are reasonably reproduced by the assumption of a particle accelerator in the core,continuously injecting protons into the ambient medium.

关键词： Cosmic rays γ-rays Interstellar medium Star cluster

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MicroRNA在人结肠癌干细胞中的表达谱

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世界华人消化杂志 2010年第2期18卷 173-178页

作者：邹健于晓峰虞阳张颖史冬梅董洁李天奇刘雪静复旦大学附属华东医院消化科上海市200040 复旦大学附属华东医院呼吸科上海市200040 复旦大学附属华东医院心内科上海市200040

目的:探讨微小RNA(microRNA,miRNA)在人结肠癌干细胞中的表达,为进一步研究miRNA调控结肠癌干细胞向结肠癌细胞分化的分子机制奠定基础.方法:应用miRNA表达谱芯片检测人结肠癌干细胞和已分化结肠癌细胞中miRNA的表达谱.利用实时定量PCR... 详细信息

目的:探讨微小RNA(microRNA,miRNA)在人结肠癌干细胞中的表达,为进一步研究miRNA调控结肠癌干细胞向结肠癌细胞分化的分子机制奠定基础.方法:应用miRNA表达谱芯片检测人结肠癌干细胞和已分化结肠癌细胞中miRNA的表达谱.利用实时定量PCR技术检测两种细胞中差异表达的miRNA,验证miRNA芯片结果的可靠性.应用软件对筛选出的显著差异表达miRNA的靶基因进行预测.结果:与已分化结肠癌细胞相比,人结肠癌干细胞中表达上调超过1.5倍的miRNA有35个,为:hsa-miR-192,hsa-miR-29b,hsa-miR-215,hsa-miR-194,hsa-miR-33a,hsa-miR-32等;表达下调超过1.5倍的miRNA有11个,为:hsa-miR-93,hsa-miR-1231,hsa-miR-524-3p,hsa-miR-886-3p等.PCR技术验证,与miRNA芯片结果相符合.表达显著上调miRNA的共同靶mRNA有:AFF2、MTF1、RUNDC2C和ZFHX4.表达显著下调miRNA的共同靶mRNA有:ONECUT2、SH3TC2、PTPRT、RNABP10、NR3C1、RGSL1、RNASEL和TANC2.结论:筛选出的差异表达miRNA可能参与结肠癌的发病,为该病诊治提供了新的思路.其共同靶基因可能具有重要的调控结肠癌干细胞生长和分化的作用.

关键词：微小RNA 结肠癌干细胞表达谱

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肝移植治疗原发性肝癌88例临床分析

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中华肿瘤杂志 2006年第8期28卷 628-631页

作者：陈新国朱晓丹李威刘煜邹卫龙牛玉坚吴凤东关兆杰岳扬武警总医院肝移植中心北京100039

目的探讨肝移植治疗原发性肝癌的临床意义。方法回顾性分析88例原发性肝癌行原位肝移植患者的临床资料。按照国际抗癌联盟(UICC)制定的肝癌pTNM分期标准,随访比较不同分期患者12个月的肿瘤复发和生存情况。结果术后12个月时,I、II、Ⅲ... 详细信息

目的探讨肝移植治疗原发性肝癌的临床意义。方法回顾性分析88例原发性肝癌行原位肝移植患者的临床资料。按照国际抗癌联盟(UICC)制定的肝癌pTNM分期标准,随访比较不同分期患者12个月的肿瘤复发和生存情况。结果术后12个月时,I、II、Ⅲ、Ⅳ期复发率分别为0、4．8％、40．0％和71．3％(P<0．01);I、Ⅱ、Ⅲ、IV期生存率分别为100％、95．2％、71．5％和41．7％(P<0．01)。结论I、Ⅱ期原发性肝癌适合行肝移植治疗,而Ⅳ期肝癌不是肝移植手术适应证。

关键词：肝移植肝肿瘤存活率复发率

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