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Science Bulletin 2023年第16期68卷 1800-1808,M0004页

作者：高峰戴林斌王琼刘畅邓克学程昭昭吕心怡吴燕张子伊陶青青袁晶李世平王越苏娅程忻倪俊吴志英张舒婷施炯申勇 China aging and Neurodegenerative Initiative(CANDI)consortium Department of Neurology Institute on Aging and Brain DisordersThe First Affiliated Hospital of USTCDivision of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei 230001China Neurodegenerative Disorder Research Center Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei 230026China Department of Radiology The First Affiliated Hospital of USTCDivision of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei 230001China Department of Neurology West China HospitalSichuan UniversityChengdu 610041China Department of Neurology and Research Center of Neurology Second Affiliated HospitalZhejiang University School of MedicineHangzhou 310058China Department of Neurology State Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100006China Department of Neurology Beijing Tiantan HospitalCapital Medical UniversityBeijing 100070China Department of Neurology National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghai 200040China Anhui Province Key Laboratory of Biomedical aging Research University of Science and Technology of ChinaHefei 230001China 不详

阿尔茨海默病(AD)的生物标志物在血液中含量可能因种族、老年性疾病与各种环境风险因素等不同而存在差异,尚缺乏系统性的研究来评估AD生物标志物在中国老年及AD患者人群中的变化以及是否具有准确预测脑内淀粉样蛋白沉积的能力.本工作为... 详细信息

阿尔茨海默病(AD)的生物标志物在血液中含量可能因种族、老年性疾病与各种环境风险因素等不同而存在差异,尚缺乏系统性的研究来评估AD生物标志物在中国老年及AD患者人群中的变化以及是否具有准确预测脑内淀粉样蛋白沉积的能力.本工作为一项多中心纵向队列研究,共纳入来自全国各地6个不同临床中心的817个血液样本.研究测量了多个国际上通用的AD生物标志物,包括β-淀粉样蛋白40与42、磷酸化Tau(pTau)蛋白、总Tau蛋白、神经纤维丝轻链(NFL)和胶质纤维酸性蛋白(GFAP),并使用淀粉样斑块PET示踪剂和核磁结构影像对受试者进行综合评估.研究发现,APOE基因型与血浆pTau或血清GFAP组合的预测模型对脑内淀粉样斑块的沉积状态具有较好的区分能力.此外,研究还发现GFAP基线水平越高的患者其神经退行性变的速度越快.本研究结果基于多中心数据,论证了AD血液生物标志物在中国汉族人群中的实用性和应用前景,提示了血液pTau和GFAP是检测AD早期症状的有效指标,为我国AD的早期诊断和治疗提供了参考.

关键词：临床中心 Tau蛋白神经退行性变生物标志物老年性疾病基线水平血液样本示踪剂

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biomarkers of aging

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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 status.Although a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly characterized.An 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 need.Here,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 factors.To 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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Dog10K: an international sequencing effort to advance studies of canine domestication, phenotypes and health

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National Science Review 2019年第4期6卷 810-824页

作者： Elaine A.Ostrander Guo-Dong Wang Greger Larson Bridgett M.von Holdt Brian W.Davis Vidhya Jagannathan Christophe Hitte Robert K.Wayne Ya-Ping Zhang Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences College of Veterinary Medicine and Biomedical Sciences Texas A&M University Palaeogenomics and Bio-Archaeology Research Network School of Archaeology University of Oxford Department of Ecology and Evolutionary Biology Princeton University IGDR CNRS University of Rennes the Dog10K consortium National Human Genome Research Institute National Institutes of Health Department of Ecology and Evolutionary Biology University of CaliforniaLos Angeles State Key Laboratory of Genetic Resources and Evolution Kunming Institute of Zoology Chinese Academy of Sciences Institute of Genetics Vetsuisse Faculty University of Bern

Dogs are the most phenotypically diverse mammalian species, and they possess more known heritable disorders than any other non-human mammal. Efforts to catalog and characterize genetic variation across well-chosen populations of canines are necessary to advance our understanding of their evolutionary history and genetic architecture. To date, no organized effort has been undertaken to sequence the world’s canid populations. The Dog10 K consortium(http://www.dog10 ***) is an international collaboration of researchers from across the globe who will generate 20× whole genomes from 10 000 canids in 5 years.This effort will capture the genetic diversity that underlies the phenotypic and geographical variability of modern canids worldwide. Breeds, village dogs, niche populations and extended pedigrees are currently being sequenced, and de novo assemblies of multiple canids are being constructed. This unprecedented dataset will address the genetic underpinnings of domestication, breed formation, aging, behavior and morphological variation. More generally, this effort will advance our understanding of human and canine health.

关键词： genomics genome-wide association studies(GWAS) breed selection variation evolution

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