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Prediction of treatment response to antipsychotic drugs for precision medicine approach to schizophrenia:randomized trials and multiomics analysis

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Military Medical Research 2024年第1期11卷 19-33页

作者： liang-Kun Guo Yi Su Yu-Ya-nan zhang Hao Yu Zhe Lu Wen-Qiang li Yong-feng yang Xiao Xiao Hao Yan Tian-Lan Lu Jun li yun-Dan liao Zhe-Wei Kang li-fang wang Yue li ming li Bing liu Hai-liang huang Lu-xian Lv Yin Yao yun-Long Tan Gerome Breen Ian Everall Hong-Xing wang Zhuo huang Dai zhang Wei-hua Yue Institute of Mental health Peking University Sixth HospitalBeijing 100191China National Clinical Research Center for Mental Disorders Peking University Sixth HospitalBeijing 100191China NHC Key Laboratory of Mental health and Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder(2018RU006) Chinese Academy of Medical SciencesBeijing 100191China Peking University Huilongguan Clinical Medical School Beijing Huilongguan HospitalBeijing 100096China Department of Psychiatry Jining Medical UniversityJining 272067ShandongChina henan Key Lab of Biological Psychiatry the Second Affiliated Hospital of Xinxiang Medical UniversityXinxiang 435001HenanChina Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and yunnan Province Kunming Institute of ZoologyChinese Academy of SciencesKunming 650223China Institute of Psychiatry Psychology and NeuroscienceKing’s College LondonLondon WC2R 2LSUK State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal UniversityBeijing 100875China Analytic and Translational Genetics Unit Massachusetts General HospitalBostonMA 02114USA Stanley Center for Psychiatric Research the Broad Institute of MIT and HarvardCambridgeMA 02141USA Department of Medicine Harvard Medical SchoolBostonMA 02115USA Department of Biostatistics and Computational Biology School of Life SciencesFudan UniversityShanghai 200438China Department of Neurology Xuanwu HospitalCapital Medical UniversityBeijing 100053China State Key Laboratory of Natural and Biomimetic Drugs Key Laboratory for Neuroscience for Ministry of EducationSchool of Pharmaceutical SciencesPeking University Health Science CenterBeijing 100191China PKU-IDG/McGovern Institute for Brain Research Peking UniversityBeijing 100871China Chinese Institute for Brain Research Beijing 102206China

Background:Choosing the appropriate antipsychotic drug(APD)treatment for patients with schizophrenia(SCZ)can be challenging,as the treatment response to APD is highly variable and difficult to predict due to the lack of effective *** studies have indicated the association between treatment response and genetic and epigenetic factors,but no effective biomarkers have been ***,further research is imperative to enhance precision medicine in SCZ ***:Participants with SCZ were recruited from two randomized *** discovery cohort was recruited from the CAPOC trial(n=2307)involved 6 weeks of treatment and equally randomized the participants to the Olanzapine,Risperidone,Quetiapine,Aripiprazole,Ziprasidone,and Haloperidol/Perphenazine(subsequently equally assigned to one or the other)*** external validation cohort was recruited from the CAPEC trial(n=1379),which involved 8 weeks of treatment and equally randomized the participants to the Olanzapine,Risperidone,and Aripiprazole ***,healthy controls(n=275)from the local community were utilized as a genetic/epigenetic *** genetic and epigenetic(DNA methylation)risks of SCZ were assessed using the polygenic risk score(PRS)and polymethylation score,*** study also examined the genetic-epigenetic interactions with treatment response through differential methylation analysis,methylation quantitative trait loci,colocalization,and promoteranchored chromatin *** learning was used to develop a prediction model for treatment response,which was evaluated for accuracy and clinical benefit using the area under curve(AUC)for classification,R^(2) for regression,and decision curve ***:Six risk genes for SCZ(linC01795,DDHD2,SBNO1,KCNG2,SEMA7A,and RUFY1)involved in cortical morphology were identified as having a genetic-epigenetic interaction associated with treatment *** developed and externally validated predictio

关键词： Schizophrenia Antipsychotic drug Treatment response Prediction model Genetics Epigenetics

CEPC Technical Design Report

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Radiation Detection Technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang Yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen hua-Xing Chen Huirun Chen Jinhui Chen Ji-Yuan Chen Kai Chen Mali Chen mingjun Chen mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen chunhui Chen Hok Chuen Cheng huajie Cheng Shan Cheng Tongguang Cheng yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho ming-chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui zhaoyuan Cui Brunella D'Anzi ling-yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH University of Science and Technology Faculty of Physics and Applied Computer ScienceKrakow Anhui University HefeiAnhui Applied Physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu University Institute of ScienceVaranasi Bandirma Onyedi Eylul University Bandirma Beihang University Beijing Beijing Computational Science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of Technology Beijing Beijing Normal University Beijing Brown University ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad University Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo University Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central China Normal University WuhanHubei Central South University ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan China academy of engineering physics MianyangSichuan China building materials academy Beijing China Center of Advanced Science and Technology Beijing China Institute of Atomic Energy Beijing China Jiliang University HangzhouZhejiang China Nuclear Instrument CO. LTDBeijing China University of Geosciences Beijing China University of Geosciences WuhanHubei China University of Mining and Technology XuzhouJiangsu China West Normal University NanchongSichuan Chongqing University Department of PhysicsChongqing Chulalongkorn University Bangkok City University of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell University IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian Minzu University DalianLiaoning Dalian University of Technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP JINR) Dubna East China University Of Science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China

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Biomedical and Environmental Sciences 2020年第12期33卷 893-905页

作者： MA Yan ZHU Dong Shan CheN Ren Bo SHI nan nan liU Si Hong FAN Yi Pin WU Gui Hui yang Pu Ye BAI Jiang feng CheN Hong CheN li ying feng Qiao GUO Tuan Mao HOU Yong HU Gui Fen HU Xiao Mei HU yun Hong huaNG Jin huaNG Qiu hua huaNG Shao Zhen JI liang JIN Hai Hao LEI Xiao li chun Yan li Min Qing li Qun Tang li xian Yong liU Hong De liU Jin Ping liU zhang MA Yu Ting MAO Ya MO liu Fen NA Hui wang Jing Wei SONG fang li SUN sheng wang Dong Ting wang ming Xuan wang Xiao Yan wang Yin Zhen wang Yu Dong WU Wei WU Lan Ping XIAO Yan hua XIE Hai Jun XU Hong ming XU Shou fang XUE Rui Xia yang chun yang Kai Jun YUAN sheng li zhang Gong Qi zhang Jin Bo zhang lin Song zhao Shu Sen zhao Wan ying zheng Kai ZHOU ying chun ZHU Jun Teng ZHU Tian Qing zhang hua Min wang Yan Ping wang Yong Yan 无 Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical SciencesBeijing 100700China Centre for health Management and Policy Research School of Public HealthCheeloo College of MedicineShandong UniversityJinan 250012ShandongChina Institute of Information on Traditional Chinese Medicine China Academy of Chinese Medical SciencesBeijing 100700China Department of Tuberculosis The Public Health Clinical Center of ChengduChengdu 610066SichuanChina Department of Infectious Disease Shaanxi Infectious Disease HospitalXi'an 610113ShaanxiChina Department of Infectious Disease Yulin Chinese Medicine HospitalYulin 719000ShaanxiChina President's Office The First Hospital of QiqiharQiqihar 161005HeilongjiangChina Department of Traditional Chinese Medicine Shangluo Central HospitalShangluo 726000ShaanxiChina Department of Traditional Chinese Medicine The People's Hospital of QitaiheQitaihe 154603HeilongjiangChina Department of Scientific Research Xianyang Central HospitalXianyang 712000ShaanxiChina Department of traditional Chinese medicine The First Affiliated Hospital of Anhui University of Traditional Chinese MedicineHefei 230012AnhuiChina Department of Infectious Disease Heping Hospital Affiliated to Changzhi Medical CollegeChangzhi 046000ShanxiChina Department of Traditional Chinese Medicine Langfang Hospital of Chinese MedicineLangfang 065000HeibeiChina Department of Traditional Chinese Medicine Xingtai Hospital of Chinese MedicineXingtai 054001HeibeiChina Department of Traditional Chinese Medicine The People's Hospital of Guangxi Zhuang Autonomous RegionNanning 168600GuangxiChina Department of Traditional Chinese Medicine The First People'sHospital of FangchenggangFangchenggang 538001GuangxiChina Department of Traditional Chinese Medicine Mianyang Hospital of Traditional Chinese MedicineMianyang 621000SichuanChina Department of Traditional Chinese Medicine Liuzhou People's HospitalLiuzhou 545006GansuChina Department of Traditional Chinese Medici

Objective Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains *** A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients’ medical records. Multivariable logistic regression models were used to estimate the odds ratio(OR) and 95% confidence interval(95% CI) of the associations between comorbidities(cardiometabolic or non-cardiometabolic diseases), clinical severity, and treatment outcomes of *** Overall, 158(13.6%) patients were diagnosed with severe illness and 32(2.7%) had unfavorable outcomes. Hypertension(2.87, 1.30–6.32), type 2 diabetes(T2 DM)(3.57, 2.32–5.49),cardiovascular disease(CVD)(3.78, 1.81–7.89), fatty liver disease(7.53, 1.96–28.96), hyperlipidemia(2.15, 1.26–3.67), other lung diseases(6.00, 3.01–11.96), and electrolyte imbalance(10.40, 3.00–26.10)were independently linked to increased odds of being severely ill. T2 DM(6.07, 2.89–12.75), CVD(8.47,6.03–11.89), and electrolyte imbalance(19.44, 11.47–32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission(5.46,3.25–9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes(6.58, 1.46–29.64) within two *** Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.

关键词： Comorbidities COVID-19 Severity Gender Age Treatment outcome

Mechanical properties and thermal shock resistance of tungsten alloys strengthened by laser fragmentation-processed zirconium carbide nanoparticles

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Tungsten 2020年第4期2卷 381-389页

作者： Ke Jing Chao zhang Rui liu Zhuo‑ming Xie lin‑Chao zhang li‑feng zhang Jun liu Rui Gao Jun‑feng yang xian‑Ping wang Ting Hao Xue‑Bang Wu Qian‑feng fang Chang‑Hao liang guang‑nan Luo You‑yun lian xiang liu Chang‑Song liu Key Laboratory of Materials Physics Institute of Solid State PhysicsHFIPSChinese Academy of SciencesHefei 230031China University of Science and Technology of China Hefei 230026China Institute of Plasma Physics Chinese Academy of SciencesHefei 230031China Southwestern Institute of Physics Chengdu 610041China

Zirconium carbide(ZrC)nanoparticles with an average size of 5.6 nm were synthesized through laser fragmentation(LF)from as-received 20-60 nm ZrC particles,and LF-ZrC nanoparticle dispersion-strengthened tungsten(LF-WZC)samples were fabricated by spark plasma sintering *** average grain size of LF-WZC is 1.91μm and most ZrC particles in LF-WZC are smaller than 10 ***-WZC exhibits finer grain size,higher yield strength and hardness but lower ductility as compared with W-ZrC samples using as-received ZrC(WZC).The results showed that finer ZrC nanoparticles dispersed in tungsten can enhance the strength by hindering the motion of dislocations,but they may also introduce stress concentra-tion and thus reduce the *** thermal shock resistance of the WZC and LF-WZC samples was investigated using an electron beam *** LF-WZC sample also exhibits a higher cracking threshold(0.33-0.44 GW·m^(−2))than WZC(0.22-0.33 GW·m^(−2))at room *** enhanced thermal shock resistance of LF-WZC could be attributed to its high yield strength.

关键词： Tungsten Mechanical properties ZrC Laser fragmentation Thermal shock resistance

Detection of an anti-angina therapeutic module in the effective population treated by a multi-target drug Danhong injection:a randomized trial

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Signal Transduction and Targeted Therapy 2021年第10期6卷 3009-3018页

作者： Jun liu Dan-Dan li Wei Dong Yu-Qi liu yang Wu Da-Xuan Tang Fu-chun zhang Meng Qiu Qi hua Jing-Yu he Jun li Bai Du Ting-Hai Du lin-lin Niu Xue-Jun Jiang Bo Cui Jiang-Bin Chen yang-Gan wang Hai-Rong wang Qin Yu Jing he Yi-lin Mao Xiao-fang Bin Yue Deng Yu-Dan Tian Qing-hua Han Da-Jin liu li-Qin Duan ming-Jun zhao Cui-ying zhang Hai-ying Dai Ze-hua li ying Xiao You-Zhi Hu Xiao-Yu huang Kun Xing Xin Jiang Chao-feng liu Jing An feng-chun li Tao Tao Jin-Fa Jiang ying yang Yao-Rong Dong Lei zhang guang Fu ying li Shu-Wei huang li-Ping Dou Lan-Jun Sun ying-Qiang zhao Jie li yun Xia Jun liu Fan liu Wen-Jin he ying li Jian-Cong Tan yang lin Ya-Bin Zhou Jian-Fei yang Guo-Qing Ma Hui-Jun Chen he-Ping liu Zong-Wu liu Jian-Xiong liu Xiao-Jia Luo Xiao-Hong Bin Ya-nan Yu Hai-Xia Dang Bing li Fei Teng wang-Min Qiao Xiao-Long Zhu Bing-Wei Chen Qi-guang Chen chun-Ti Shen Yong-Yan wang yun-Dai Chen Zhong wang Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical SciencesBeijingChina Department of Cardiology Chinese PLA General HospitalBeijingChina Department of Cardiology Dongfang Hospital Affiliated to Beijing University of Chinese MedicineBeijingChina Department of Geratology Peking University Third HospitalBeijingChina Department of Cardiology Xuan Wu HospitalCapital Medical UniversityBeijingChina Department of Cardiology Guang'anmen HospitalChina Academy of Chinese Medical SciencesBeijingChina Department of Cardiology First Affiliated Hospital of Henan University of Chinese MedicineZhengzhouHenanChina Department of Cardiology Wuhan University Renmin HospitalWuhanHubeiChina Department of Cardiology Wuhan University Zhongnan HospitalWuhanHubeiChina Affiliated Zhongshan Hospital of Dalian University DalianLiaoningChina Department of Cardiology Second Affiliated Hospital to Hunan University of Chinese MedicineChangshaHunanChina Department of Cardiology First Affiliated Hospital to Changchun University of Chinese MedicineChangchunJilinChina Department of Cardiology First Affiliated Hospital to Shanxi Medical UniversityTaiyuanShanxiChina Department of Cardiology Affiliated Hospital of Shanxi University of Chinese MedicineXianyangShanxiChina Department of Cardiology Changsha Central HospitalChangshaHunanChina Department of Cardiology Hubei Provincial Hospital of Traditional Chinese MedicineWuhanHubeiChina Department of Cardiology Shanxi Provincial People's HospitalXi'anShanxiChina Department of Cardiology Shanxi Province Hospital of Traditional Chinese MedicineXi'anShanxiChina Department of Cardiology Xi'an City Hospital of Traditional Chinese MedicineXi'anShanxiChina Department of Cardiology Shanghai Tongji HospitalShanghaiChina Department of Cardiology Shanghai Municipal Hospital of Traditional Chinese MedicineShanghaiChina Department of Cardiology The First Hospital of ChangshaChangshaHunanChina Department of Cardiology Xinhua Hospi

It's a challenge for detecting the therapeutic targets of a polypharmacological drug from variations in the responsed networks in thedfferentiated populations with complex diseases,as stable coronary heart ***,in an adaptive,31-center,randomized,double-blind trial invoving 920 patients with moderate symptomatic stable angina treated by 14-day Danhong injection(DHI),a kind of polyphamacological drug with high quality control,or placebo(0.9%saline),with 76-day following-up,we firstly confrmed that DHl couldincrease the proportion of patients with clinically significant changes on angina-frequency assessed by Seattle Angina Questionnaire(ASAQ-AF220)(12.78%at Day 30,95%confidence interval[C]5.86-19.71%,P=0.0003,13.82%at Day 6C0,95%CI 6.82-20.82%,P=0.0001and 8.95%at Day 90,95%CI 2.06-15.85%,P=0.01).We also found that there were no significant differences in new-onset major vascularevents(P=0.8502)and serious adverse events(P=0.9105)between DHl and *** performing the RNA sequencing in 62 selectedpatients,we developed a systemic modular approach tp identfy differentilly expressed modules(DEMs)of DHI with the Z_(summay)valueless than 0 compared with the control group,calculated by weighted gene co-expression network analysis(WGCNA),and sketched out thebasic framework on a modular map with 25 functional modules targeted by ***,the effective therapeutic module(ETM),defined as the highest corelation value with the phenotype alteration(SAQ-AF,the change in SAQ-AF at Day 30 from baseline)calculatedby WGCNA,was identifed in the population with the best effect(ASAQ-AF240),which is related to anticoagulation and regulation ofcholesterol *** assessed the modular flexbility of this ETM using the global topological D value based on Euclidean distance,which is corelated with phenotype alteration(r^(2):0.8204,P=0.019)by linear *** study identified the ant-angina therapeuticmodule in the effective population treated by the multi-target

关键词： angina injection sketch

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

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

Chemoprophylaxis, diagnosis, treatments, and discharge management of COVID-19: An evidence-based clinical practice guideline(updated version)

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Military Medical Research 2020年第3期7卷 249-282页

作者： ying-Hui Jin Qing-Yuan Zhan Zhi-Yong Peng Xue-Qun Ren Xun-Tao Yin lin Cai Yu-feng Yuan Ji-Rong Yue Xiao-chun zhang Qi-Wen yang Jianguang Ji Jian Xia Yi-Rong li Fu-xiang Zhou Ya-Dong Gao Zhui Yu feng Xu ming-li Tu li-ming Tan Min yang fang Chen Xiao-Ju zhang Mei Zeng Yu Zhu Xin-Can liu Jian yang Dong-Chi zhao Yu-feng Ding Ning Hou Fu-Bing wang Hao Chen Yong-Gang zhang Wei li Wen Chen Yue-xian Shi Xiu-Zhi yang Xue-Jun wang Yan-Jun Zhong ming-Juan zhao Bing-Hui li lin-Lu Ma Hao Zi Na wang yun-yun wang Shao-Fu Yu Lu-Yao li Qiao huang Hong Weng xiang-ying Ren li-Sha Luo Man-Ru Fan Di huang Hong-yang Xue lin-Xin Yu Jin-Ping Gao Tong Deng xian-Tao Zeng Hong-Jun li Zhen-Shun Cheng Xiao-Mei Yao Xing-huan wang Center for Evidence-Based and Translational Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China National Clinical Research Center for Respiratory Diseases China-Japan Friendship HospitalBeijing 100029China Department of Pulmonary and Critical Care Medicine China-Japan Friendship HospitalBeijing 10029China Leishenshan Hospital in Wuhan Wuhan 430200China Department of Critical Care Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China Institutes of Evidence-based Medicine and Knowledge Translation Henan UniversityKaifeng 475000HenanChina Department of Medical Imaging Guizhou Provincial People’s HospitalGuiyang 550002China Departments of Orthopedics Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of hepatobiliary Surgery Zhongnan Hospital of Wuhan UniversityWuhan 430071China National Clinical Research Center for Geriatrics West China Hospital of Sichuan UniversityChengdu 610041China Department of Geriatrics West China Hospital of Sichuan UniversityChengdu 610041China Department of Radiology Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Clinical Laboratory Peking Union Medical College Hospital(PUMCH)Peking Union Medical CollegeChinese Academy of Medical Sciences(CAMS)Beijing 100730China Center for Primary health Care Research Lund University and Region Skåne25002 MalmöSweden Emergency Center Zhongnan Hospital of Wuhan UniversityWuhan 403371China Department of Allergology Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Radiation and Medical Oncology Zhongnan Hospital of Wuhan UniversityWuhan 43071China Department of Critical Care Medicine Renmin Hospital of Wuhan UniversityWuhan 430060China Department of Emergency Medicine and Chest Pain Center Qilu Hospital of Shandong UniversityJinan 250002China Department of Respiratory and Critical Care Medicine Suizhou Central HospitalHubei University of MedicineSuizhou 441300HubeiChina Department of Clinic Pharmacy Second People’s Hospital of Huaihua Ci

The novel severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is the cause of a rapidly spreading illness,coronavirus disease 2019(COVID-19),affecting more than seventeen million people around the *** and treatment guidelines for clinicians caring for patients are *** the early stage,we have issued"A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus(2019-nCoV)infected pneumonia(standard version)";now there are many direct evidences emerged and may change some of previous recommendations and it is ripe for develop an evidence-based *** formed a working group of clinical experts and *** steering group members proposed 29 questions that are relevant to the management of COVID-19 covering the following areas:chemoprophylaxis,diagnosis,treatments,and discharge *** searched the literature for direct evidence on the management of COVID-19,and assessed its certainty generated recommendations using the Grading of Recommendations,Assessment,Development and Evaluation(GRADE)*** were either strong or weak,or in the form of ungraded consensus-based ***,we issued 34 *** them,6 were strong recommendations for,14 were weak recommendations for,3 were weak recommendations against and 11 were ungraded consensus-based *** covered topics of chemoprophylaxis(including agents and Traditional Chinese Medicine(TCM)agents),diagnosis(including clinical manifestations,reverse transcription-polymerase chain reaction(RT-PCR),respiratory tract specimens,IgM and IgG antibody tests,chest computed tomography,chest X-ray,and CT features of asymptomatic infections),treatments(including lopinavirritonavir,umifenovir,favipiravir,interferon,remdesivir,combination of antiviral drugs,hydroxychloroquine/chloroquine,interleukin-6 inhibitors,interleukin-1 inhibitors,glucocorticoid,qingfei paidu decoction,lianhua qingwen granules/capsules,convalescent plasma,lung

关键词： COVID-19 SARS-CoV-2 Recommendation Chemoprophylaxis Diagnosis Treatment Discharge management Traditional Chinese medicine guideline

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肺癌适应性治疗中国专家共识

循证医学 2024年第4期24卷 193-200页

作者：吴一龙陆舜程颖周清张嘉涛潘燚汪斌超韩宝惠陈海泉周清华王绿化陈明王洁周彩存刘晓晴马智勇黄诚宋启斌莫树锦钟文昭朱正飞宋勇陈蓉蓉陈克终刘基巍杨帆胡晓桦胡毅杨懿岳东升王群赵军范江陈椿孟庆威闫小龙董晓荣朱波邢力刚李兆澄李子明褚倩陈元林根段建春田攀文范云刘安文刘慧刘哲峰杨农汪步海张同梅信涛刘思阳王志杰马锐于起涛林劼涂海燕姚煜赵明芳王慧娟张海波蔡尚立张绪超李慧杜瀛瀛吴芳严令华崔久嵬王燕邬麟周建娅汪笑男黄媚娟冯卫能周进李力中国抗癌协会肺癌专业委员会广东省临床试验协会/中国胸部肿瘤研究协作组广东省肺癌研究所南方医科大学附属广东省人民医院(广东省医学科学院)广州510080 上海交通大学医学院附属胸科医院上海200030 吉林省肿瘤医院长春130021 复旦大学附属肿瘤医院上海200032 四川大学华西医院成都610041 中国医学科学院肿瘤医院深圳医院广东深圳518116 中山大学肿瘤防治中心广州510060 中国医学科学院肿瘤医院北京100021 同济大学附属上海市肺科医院上海200433 解放军总医院第五医学中心北京100039 郑州大学附属肿瘤医院/河南省肿瘤医院郑州450003 福建省肿瘤医院福州350011 武汉大学人民医院肿瘤中心武汉430060 香港中文大学医学院中国香港东部战区总医院南京210002 北京吉因加科技有限公司北京102206 北京大学人民医院北京100044 大连医科大学附属第一医院辽宁大连116011 广西医科大学第一附属医院南宁530020 解放军总医院北京100071 成都市第三人民医院/西南交通大学医学院成都610031 天津医科大学肿瘤医院天津300060 复旦大学附属中山医院上海200032 北京大学肿瘤医院北京100142 上海交通大学附属上海市第一人民医院上海200025 福建医科大学附属协和医院福州350001 哈尔滨医科大学附属肿瘤医院哈尔滨150081 空军军医大学唐都医院西安710038 华中科技大学同济医学院附属协和医院武汉430022 陆军军医大学第二附属医院-新桥医院重庆400037 山东省肿瘤医院济南250117 华中科技大学同济医学院附属同济医院武汉430030 中国医学科学院肿瘤医院山西医院太原030013 中国科学院大学附属肿瘤医院/浙江省肿瘤医院杭州310022 南昌大学附属第二医院南昌330006 湖南省第二人民医院长沙410035 南京大学医学院附属苏北人民医院江苏扬州225001 首都医科大学附属北京胸科医院北京101149 哈尔滨医科大学附属第二医院哈尔滨150001 暨南大学附属第一医院广州510630 辽宁省肿瘤医院沈阳110042 广西医科大学附属肿瘤医院南宁530012 昆明医科大学第二附属医院昆明650101 西安交通大学第一附属医院西安710061 中国医科大学附属第一医院沈阳110001 广东省中医院广州510120 广州燃石医学检验所有限公司广州510300 安徽医科大学第一附属医院合肥230022 中南大学湘雅二医院长沙410011 上海桐树生物科技有限公司上海200444 吉林大学白求恩第一医院长春130021 湖南省肿瘤医院长沙410013 浙江大学医学院附属第一医院杭州310031 南京世和基因生物技术股份有限公司南京210032 佛山市第一人民医院广东佛山528000 四川省肿瘤医院成都610042 陆军军医大学大坪医院重庆400042 不详

由中国抗癌协会肺癌专业委员会和广东省临床试验协会/中国胸部肿瘤研究协作组主办的“第21届中国肺癌高峰论坛”于2024年3月2日在广州顺利召开。此次论坛以肺癌适应性治疗为主题,从肺癌适应性治疗定义、早中晚期临床应用以及生物标志物... 详细信息

由中国抗癌协会肺癌专业委员会和广东省临床试验协会/中国胸部肿瘤研究协作组主办的“第21届中国肺癌高峰论坛”于2024年3月2日在广州顺利召开。此次论坛以肺癌适应性治疗为主题,从肺癌适应性治疗定义、早中晚期临床应用以及生物标志物对适应性治疗的指导价值等角度展开探讨并达成了专家共识。

关键词：肺癌适应性治疗共识