韩璎教授团队简介

团队带头人： 韩璎，教授，主任医师，博士生导师。宣武医院神经内科知名专家，长期致力于阿尔茨海默病（AD）及相关认知障碍疾病的临床与转化研究。担任国家神经系统疾病临床医学研究中心、首都医科大学宣武医院神经内科重要职务，是该领域具有重要影响力的学术带头人之一。

研究方向与特色：

本团队聚焦于阿尔茨海默病的早期诊断、预防与干预这一国际前沿和临床难点问题。团队特色在于紧密结合宣武医院在神经科学领域的强大平台优势，运用多模态磁共振成像（MRI）、正电子发射断层扫描（PET）、血浆生物标志物等先进技术，深入探索AD在临床症状出现前的病理生理变化规律。

临床与科研平台：

团队依托于国家神经系统疾病临床医学研究中心、首都医科大学宣武医院神经内科等国家级与省部级高水平科研平台，拥有国内领先的认知障碍疾病诊疗资源和完备的临床数据与生物样本库。团队与国内外多家顶尖科研机构建立了长期稳定的合作关系，为研究生培养提供了国际化的视野和优质的科研条件。

团队成果与影响力：

韩璎教授带领团队在阿尔茨海默病早期诊断研究方面取得了系列创新性成果，在国内外高水平学术期刊上发表了多篇有影响力的论文，并承担了多项国家自然科学基金重点项目、国家重点研发计划课题等国家级科研任务。团队的研究成果对于推动我国AD的早期防治体系建设做出了积极贡献，在业内享有盛誉。

人才培养理念：

团队注重培养研究生的临床科研思维、创新能力和国际视野。秉承严谨、求实、协作、创新的理念，为研究生提供从课题设计、实验实施到论文撰写的全方位指导，鼓励学生参与国内外学术交流，致力于培养神经病学领域，特别是认知障碍方向的拔尖创新人才和未来领军者。

在研主持为期5年的国自然重点国际合作项目（82020108013），为期3年的中德会议资助（M-0759）。在研参与了一项国自然仪器项目（82327809）和一项科技部重大项目（2022ZD0211800）。结题了一项国家重点研发项目“阿尔茨海默病早期诊断新技术研发”（2016YFC1306300）子课题；主持并完成国自然重点项目（61633018）1项和面上项目2项（30970823，31371007）；主持并完成北京市科委首都市民健康培育项目一项（Z131100006813022）；主持并完成顺义区卫计委资助“AD临床前期SCD筛查”流调项目。

重要学术论文：

1. Wei M#, Yu X#, Hu S#, etal. Differences of longitudinal plasma biomarkers between single memory domainand multidomain subject cognitive decline: Evidence from SILCODE. JAlzheimers Dis. 2025;103(4):1060-1074. 

2. Chen G#, Li H#,Shao X, Wang DJJ, Hu W, Han Y*, Yang Q*.Decreased water exchange rate across the blood-brain barrier throughout theAlzheimer's disease continuum: Evidence from Chinese data. Alzheimers Dement.2025 Mar;21(3):e70089. doi: 10.1002/alz.70089. PMID: 40145328.

3. Liang Y , Liu C, ChengM, Geng L, Li J, Du W, Song M, Chen N, Traore Aicha Noura  Yeleen, Song L, Wang X*, Han Y*, Sheng C*.The link between gut microbiome and Alzheimer’s disease: from theperspective of new revised criteria for diagnosis and staging of Alzheimer’s disease. Alzheimers & Dementia. 2024, 20(8):5771-5788.

4. Jiang,X., Zhang, M., Yan, C., Daamen, M., Boecker, H., Yue, F., ... & Han, Y. (2025).Brain Topological Changes in Subjective Cognitive Decline and Associations withAmyloid Stages. Journal of Neuroscience, 45(25).

5. Ni L, Lin L, Zhao W, LiY, Du W, Chen G, Sheng C, Han Y. Differences in patterns of functional andstructural connectivity alterations of hippocampal subregions in patients onthe Alzheimer’s disease spectrum. Neuroscience. 2025 Jul 18. DOI: https://doi.org/10.1016/j.neuroscience.2025.07.033. 

6. Yang Q, Qu X, Sheng C,Zhao X, Chen G, Wang X, Li Y, Du W, Wang X, Sun Y, Li X, Niu H, Han Y.Transcranial photobiomodulation improves functional brain networks and workingmemory in healthy older adults: An fNIRS study. Neuroimage. 2025 Jun 5:121305.doi: 10.1016/j.neuroimage.2025.121305. Epub ahead of print. PMID: 40482941.

7. Wei M, Zhang Y, Wang M,Zhong J, Chai W, Hu W, Tao F, Wang L, Zhang Q, Yu X, Shi R, Li C, Song Z, ChenG, Zhang S, Jiang J*, Han Y*, ADNI. Plasma biomarkers ascore mediators in functional subnetwork abnormalities: Evidence from atwo-cohort study. Alzheimers Dement.2025 Feb27. 

8. Kai Shao, Xiao Chen,Xianfeng Yu, Jie Yang, Min Wei, Mingkai Zhang, Ruixian Li, Xuanqian Wang,Yongzhe Wei, for the SILCODE study group, Chao-Gan Yan, Ying Han*.Functional connectivity changes in two cortico-hippocampal networks ofAlzheimer's disease continuum and their correlations with cognition: a SILCODEstudy [J]. J Alzheimers Dis. DOI: 10.1177/13872877241291236. 

9. Wei M, Wang L, Yu X, HuW, Wang M, Zhang Q, Guo T, Zhong J, Li C, Jiang J*, Han Y*, Differences in Glucose Metabolism Between Single Memory Domain andMultidomain Subjective Cognitive Decline: A Longitudinal Study From SILCODE. CNSNeurosci Ther 2025. 

10. Wei M, Yu X, Hu S, Hu W,Shi R, Wang M, Zhong J, Zhang Q, Zhang Y, Li C, Song Z, Jiang J*, Han Y*. Differencesof longitudinal plasma biomarkers between single memory domain and multidomainsubject cognitive decline: Evidence from SILCODE. J Alzheimers Dis. 

11. Xianfeng Yu, Ying Zhang,Yue Cai, Ning Rong, Ruixian Li, Rong Shi, Min Wei, Jiehui Jiang*, Han Y*.Asymmetrical patterns of β-amyloid deposition and cognitive changes inAlzheimer's disease: the SILCODE study. Cer Cor. 2024 Nov 27. 

12. Guo T*, Li A, Sun P, HeZ, Cai Y, Lan G, Liu L, Li J, Yang J, Zhu Y, Zhao R, Chen X, Shi D, Liu Z, WangQ, Xu L, Zhou L, Ran P, Wang X, Sun K, Lu J*, Han Y*.Astrocyte reactivity is associated with tau tangle load and cortical thinningin Alzheimer's disease. Mol Neurodegener.2024 Jul 30;19(1):58. doi: 10.1186/s13024-024-00750-8. 

13. Shao K, Hu X, KleineidamL, Stark M, Altenstein S, Amthauer H, Boecker H, Buchert R, Buerger K, ButrynM, Cai Y, Cai Y, Cosma NC, Chen G, Chen Z, Daamen M, Drzezga A, Düzel E, EsslerM, Ewers M, Fliessbach K, Gaertner FC, Glanz W, Guo T, Hansen N, He B, JanowitzD, Kilimann I, Krause BJ, Lan G, Lange C, Laske C, Li Y, Li R, Liu L, Lu J,Meng F, Munk MH, Peters O, Perneczky R, Priller J, Ramirez A, Rauchmann BS,Reimold M, Rominger A, Rostamzadeh A, Roy-Kluth N, Schneider A, Spottke A,Spruth EJ, Sun P, Teipel S, Wang X, Wei M, Wei Y, Wiltfang J, Yan S, Yang J, YuX, Zhang M, Zhang L; DELCODE study group; Wagner M, Jessen F, Han Y*,Kuhn E. Amyloid and SCD jointly predict cognitive decline across Chinese andGerman cohorts. Alzheimers Dement. 2024 Jul27. doi: 10.1002/alz.14119.

14. YuX, Shi R, Zhou X, Zhang M, Cai Y, Jiang J*, Han Y*. Correlations betweenplasma markers and brain Aβ deposition across the AD continuum: Evidence fromSILCODE. Alzheimers Dement. Publishedonline July 10, 2024. doi:10.1002/alz.14084. 

15. Yu X, Sun X, Wei M, DengS, Zhang Q, Guo T, Shao K, Zhang M, Jiang J*, Han Y*, ADNI.Innovative Multivariable Model Combining MRI Radiomics and Plasma IndexesPredicts Alzheimer's Disease Conversion: Evidence from a 2-Cohort LongitudinalStudy. Research (Wash D C). 2024;7:0354. doi:10.34133/research.0354. 

16. Zeng Y, Du W, Zhang M,Walker A, Han Y*, Ding Y. APOEε4 Carriers Exhibit ObjectiveCognitive Deficits: A Cross-Sectional Study in a Single Center Trial. BrainSci. 2024;14(3):281. doi:10.3390/brainsci14030281. 

17. ZhangM, Chen H, Huang W, Guo T, Ma G, Han Y*, Shu N*. Relationship betweentopological efficiency of white matter structural connectome and plasmabiomarkers across the Alzheimer's disease continuum. Hum Brain Mapp.2024;45(1):e26566. doi:10.1002/hbm.26566. 

18. Yu X, Zhou X, He Z, HeB, Wan K, Wei M, Guo T, Han Y*. Sleep and APOE-ε4 have asynergistic effect on plasma biomarkers and longitudinal cognitive decline inolder adults. CNS Neurosci Ther. 2024 Feb;30(2):e14558. doi: 10.1111/cns.14558.

19. Jiang X, Hu X, Daamen M, Wang X, Fan C, Meiberth D,Spottke A, Roeske S, Fliessbach K, Spruth EJ, Altenstein S, Lohse A, Hansen N,Glanz W, Incesoy EI, Dobisch L, Janowitz D, Rauchmann BS, Ramirez A, KilimannI, Munk MH, Wang X, Schneider LS, Gabelin T, Roy N, Wolfsgruber S, KleineidamL, Hetzer S, Dechent P, Ewers M, Scheffler K, Amthauer H, Buchert R, Essler M,Drzezga A, Rominger A, Krause BJ, Reimold M, Priller J, Schneider A, WiltfangJ, Buerger K, Perneczky R, Teipel S, Laske C, Peters O, Düzel E, Wagner M,Jiang J, Jessen F, Boecker H, Han Y. Altered limbic functional connectivity inindividuals with subjective cognitive decline: Converging and divergingfindings across Chinese and German cohorts. Alzheimers Dement. 2023 Nov;19(11):4922-4934. 

20. YuX, Shao K, Wan K, Li T, Li Y, Zhu X, Han Y*. Progress in bloodbiomarkers of subjective cognitive decline in preclinical Alzheimer's disease.Chin Med J (Engl). 2023 Mar 5;136(5):505-521. 

21. Zhang M, Wang X, Zhao W,Li Y, Ying C, Jiang J, Cai Y, Lu J, Han Y*. Subjective cognitivedecline domain improves accuracy of plasma Aβ42/Aβ40 for preclinicalAlzheimer's disease diagnosis: The SILCODE study. Chin Med J (Engl). 2023 Nov10. 

22. He B, Sheng C, Yu X,Zhang L, Chen F, Han Y*. Alterations of gut microbiota areassociated with brain structural changes in the spectrum of Alzheimer'sdisease: the SILCODE study in Hainan cohort. Front Aging Neurosci. 2023 Jul14;15:1216509.

23. Lanlan Li#, Xianfeng Yu#, Can Sheng, Xueyan Jiang, Qi Zhang, YingHan* and Jiehui Jiang*. A review of brain imaging biomarkergenomics in Alzheimer’s disease: implementation and perspectives. Translational Neurodegeneration,2022.11:42. 

24. Zhao Xing, Du Wenying*,Jiang Jiehui, Han Ying*.(2022). Brain Photobiomodulation ImprovesSleep Quality in Subjective Cognitive Decline: A Randomized, Sham-ControlledStudy. J Alzheimers Dis, 2022. 87(4), 1581-1589. doi:10.3233/JAD-215715. 

25. Jiehui Jiang#*,Can Sheng#, Guanqun Chen#, Chunhua Liu, Shichen Jin,Lanlan Li, Xueyan Jiang, Ying Han*. Glucose metabolism patterns:A potential index to characterize brain ageing and predict high conversion riskinto cognitive impairment. GeroScience, 2022. doi:10.1007/s11357-022-00588-2. 

26. Sheng C, YangK, He B, Li T, Wang X, Du W, Hu X, Jiang J, Jiang X, Jessen F, Han Y.Cross-Cultural Longitudinal Study on Cognitive Decline (CLoCODE) for SubjectiveCognitive Decline in China and Germany: A Protocol for Study Design. JAlzheimers Dis.2022;87(3):1319-1333.. doi: 10.3233/JAD-215452.

27. Sheng C, YangK, He B, Du W, Cai Y, Han Y*. Combination of gut microbiota andplasma amyloid-β as a potential index for identifying preclinical Alzheimer'sdisease: a cross-sectional analysis from the SILCODE study. Alzheimers ResTher. 2022 Feb 14;14(1):35. doi: 10.1186/s13195-022-00977-x. 

28. Li TR, YaoYX, Jiang XY, Dong QY, Yu XF, Wang T, Cai YN*, Han Y*. β-Amyloidin blood neuronal-derived extracellular vesicles is elevated in cognitivelynormal adults at risk of Alzheimer's disease and predicts cerebral amyloidosis.Alzheimers Res Ther 2022, 14(1): 66. doi: 10.1186/s13195-022-01010-x.

29. Hua Lin#,Jiehui Jiang#, Zhuoyuan Li, Can Sheng, Wenying Du, Xiayu Li, Ying Han*. Identification ofSubjective Cognitive Decline due to Alzheimer’s disease Using Multimodal MRIcombining with machine learning. Cerebral Cortex, 2022, Online ahead of print. 

30. Tao-Ran Lia,Qiu-Yue Donga, Xue-Yan Jiang, Gui-Xia Kang, Xin Li, Yun-Yan Xie*,Jie-Hui Jiang*, Ying Han* and the Alzheimer’s DiseaseNeuroimaging Initiative. Exploring brain glucose metabolic patterns incognitively normal adults at risk of Alzheimer’s disease: A cross-validationstudy with Chinese and ADNI cohorts. NeuroImage: Clinical, Volume 33, 2022, 102900.doi: 10.1016/j.nicl.2021.102900. 

31. Xiaoqi Wang, Qiuhui Bi, Jie Lu, Piu Chan, XiaochenHu, Li Su, Frank Jessen, Hua Lin, Chunlei Han, Ni Shu∗, Hesheng Liu∗ and Ying Han*. Differencein Amyloid Load Between Single Memory Domain and Multidomain SubjectiveCognitive Decline: A Study from the SILCODE. J Alzheimers Dis. 2022;85(4):1573-1582. doi: 10.3233/JAD-215373. 

32. XiaoqiWang, Min Wang, Xiaoni Wang, Feifan Zhou, Jiehui Jiang*, Hesheng Liu, Ying Han*. Subjective cognitivedecline-related worries modulate the relationship between global amyloid loadand gray matter volume in preclinical Alzheimer’s disease. Brain Imaging andBehavior. 2022;16(3):1088-1097. doi: 10.1007/s11682-021-00558-w. 

33. LiTR, Yang Q, Hu X, Han Y*. Biomarkers and Tools for Predicting Alzheimer's Disease at thePreclinical Stage. Curr Neuropharmacol. 2022;20(4):713-737. doi:10.2174/1570159X19666210524153901.

34. Guanqun Chen, Li Lin,Kun Yang, YingHan*. Education, APOE ɛ4, and Cognition in Individuals with SubjectiveCognitive Decline with Worry in the SILCODE Study. Current Alzheimer Research,2021;18(6):492-498.

35. Su R, Li X*, Liu Y, CuiW, Xie P and Han Y (2021) Evaluation of the Brain Function StateDuring Mild Cognitive Impairment Based on Weighted Multiple Multiscale Entropy.Front. Aging Neurosci. 13:625081. doi: 10.3389/fnagi.2021.625081

36. Mingyan Zhao, GuanqunChen, Taoran Li, Can Sheng, Yuxia Li, Ying Han*. The Impact ofStudy Setting on Clinical Characteristics in Older Chinese Adults withSubjective Cognitive Decline: Baseline Investigation of Convenience andPopulation-Based Samples. BioMed Research International, 2021. 

37. Wenying Du, ChangchangDing, Jiehui Jiang*, Ying Han*. Women exhibit lower global leftfrontal cortex connectivity among cognitively unimpaired elderly individuals: Apilot study from SILCODE. J Alzheimers Dis. 2021, 83（2）: 653-663. doi: 10.3233/JAD-210376

38. Yaoyu Zhang#,Wenying Du#, Yayan Yin, HuanjieLi,Zhaowei Liu, Yang Yang, YingHan* and Jia-Hong Gao* . Impaired cerebralvascular and metabolic responses to parametric N-back tasks in subjectivecognitive decline. Journal of Cerebral Blood Flow & Metabolism. 2021:271678X-2110121X. doi: 10.1177/0271678X211012153.

39. Xie Yunyan#,Yang Qin#, Liu Chunhua, Zhang Qi, Jiang Jiehui*, Han Ying*, and theAlzheimer’s Disease Neuroimaging Initiative. Exploring the Pattern AssociatedWith Longitudinal Changes of beta-Amyloid Deposition During Cognitively NormalHealthy Aging[J]. Front Med (Lausanne), 2020, 7: 617173.doi：10.3389/fmed.2020.617173

40. Can Sheng*, Li Lin, HuaLin, Xin Li, Xiaoni Wang*, Ying Han*. Altered gut microbiota inadults with subjective cognitive decline: the SILCODE study. J Alzheimers Dis.2021.82(2):513-526. doi: 10.3233/JAD-210259. PMID: 34024839

41. Lin Li, Sun Yu, WangXiaoqi, Su Li, Wang Xiaoni*, HanYing*. Resilience to Plasma and Cerebrospinal Fluid Amyloid-β inCognitively Normal Individuals: Findings From Two Cohort Studies. Frontiers inAging Neuroscience, 2021, 13(55). doi:10.3389/fnagi.2021.610755. 

42. Dong Qiu-Yue.#,Li Tao-Ran.#, Jiang Xue-Yan., Wang Xiao-Ni., Han Ying.*,Jiang Jie-Hui.*(2021). Glucose metabolism in the right middle temporal gyruscould be a potential biomarker for subjective cognitive decline: a study of aHan population. Alzheimers Res Ther, 13(1), 74.doi:10.1186/s13195-021-00811-w

43. Chen Y#, LiT-R#, Hao S-W, Wang X-N*, Cai Y-N* and HanY* (2021) Blood NCAPH2 Methylation Is Associated WithHippocampal Volume in Subjective Cognitive Decline With Apolipoprotein E ε4Non-carriers. Front. Aging Neurosci. 13:632382. doi: 10.3389/fnagi.2021.632382

44. Xiaoni Wang, MingyanZhao, Li Lin, Ying Han*.Plasma β-amyloid levels associated with structural integrity based on diffusiontensor imaging in subjective cognitive decline: the SILCODE study. Frontiers inAging Neuroscience, 2021, doi: 10.3389/fnagi.2020.592024. 

45. Guanqun Chen, MingyanZhao, Kun Yang, Hua Lin, Chunlei Han, Xiaoni Wang* and Ying Han*.Education exerts different effects on cognition inindividuals with subjective cognitive decline and cognitive impairment: Apopulation-based study. J Alzheimers Dis, 2021, 79(2):653-661.doi: 10.3233/JAD-201170.

中文核心期刊：

1. 韩璎*   临床前期阿尔茨海默病诊断与非药物干预专家共识框架——基于 2024 年 AAW 诊断与分期修订标准. 医学研究与战创伤救治杂志，2097-2768(2025)07-0673-12；DOI:10. 16571 / j. cnki. 2097-2768. 2025. 07. 001.

2. 迟立君，盛灿，时代，陈晓春，韩璎* 关于2024年《修订版阿尔茨海默病诊断 与分期标准》临床应用的专家解读 中华老年医学杂志，2024，12（43）；DOI:10.3760/cma.j.issn.0254-9026.2024.12.003

3. 韩璎*,管一晖,郭起浩,谢芳,阿尔茨海默病18F-AV45PET脑显像的操作技术和临床应用.中华神经医学,2021,20(1)2-7.DOI:10.3760/cma.j.cn115354-20200423-00301

4. 韩璎*，中华医学会核医学分会与北京认知神经科学学会, 淀粉样蛋白PET脑显像技术规范专家共识. 中华核医学与分子影像杂志, 2020,40(12) : 736-742.DOI: 10.3760/cma.j.cn321828-20200415-00150.

5. 倪良卉，胡振燕，杨勤，刘奕，林立，牛海晶，韩璎*.参肽茶多酚改善中老年人记忆功能的临床研究[J].中华神经医学杂志，2020，19(11)：1142-1148. DOI:10.3760/cma.j.cn115354-20201016-00816

重要奖项

1. 多模态脑成像关键技术创新体系建立及在阿尔茨海默病中的应用 北京医学科技奖 一等奖 2024

2. 多模态脑成像关键技术创新体系建立及在神经退行性疾病中的应用 华夏医学科学技术奖 一等奖  2022

3. 分子生物学、功能影像学对阿尔茨海默病早期精准诊断及疗效监测的关键技术 上海市科技进步奖 一等奖 2019