Data sharing as the foundation of discovery: ADNI and breakthroughs in Alzheimer's disease

被引:1
作者
Travaglia, Alessio [1 ]
Hoffmann, Steve [2 ]
机构
[1] NIH, Translat Sci, Neurosci, 1400 Rockville Pike,Suite 600, North Bethesda, MD 20852 USA
[2] NIH, Sci Partnerships, Translat Sci, 11400 Rockville Pike,Suite 600, North Bethesda, MD 20852 USA
关键词
ADNI; Alzheimer's disease; biomarkers; dementia; FNIH; innovation; neuroimaging; open data; public-private partnerships; IMPACT;
D O I
10.1002/alz.14129
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
The COVID pandemic has shown that when the research community comes together, we can conquer the most complex biomedical challenges. Collaboration and teamwork among federal agencies, private organizations, and researchers have been crucial in the development of vaccines and therapeutics against COVID. Possibly the first example of such cross-functional collaboration is the Alzheimer's Disease Neuroimaging Initiative (ADNI), the largest and longest continually monitored Alzheimer's study. ADNI was designed and operated as a public-private partnership, managed by the Foundation for the National Institutes of Health. This article shows how recent successes in the Alzheimer's field are directly a result of ADNI's open and transparent sharing of knowledge, expertise, and resources, which have allowed researchers to advance their understanding of Alzheimer's and tackle challenges in a relatively short period of time. ADNI's approach to open-source innovation also served as a model for addressing other complex diseases and led to numerous collaborative research initiatives.
引用
收藏
页码:7395 / 7398
页数:4
相关论文
共 50 条
  • [31] From proteomics to biomarker discovery in Alzheimer's disease
    Ho, L
    Sharma, N
    Blackman, L
    Festa, E
    Reddy, G
    Pasinetti, GM
    BRAIN RESEARCH REVIEWS, 2005, 48 (02) : 360 - 369
  • [32] Harnessing peripheral DNA methylation differences in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to reveal novel biomarkers of disease
    Aparna Vasanthakumar
    Justin W. Davis
    Kenneth Idler
    Jeffrey F. Waring
    Elizabeth Asque
    Bridget Riley-Gillis
    Shaun Grosskurth
    Gyan Srivastava
    Sungeun Kim
    Kwangsik Nho
    Kelly N. H. Nudelman
    Kelley Faber
    Yu Sun
    Tatiana M. Foroud
    Karol Estrada
    Liana G. Apostolova
    Qingqin S. Li
    Andrew J. Saykin
    Clinical Epigenetics, 2020, 12
  • [33] Harnessing peripheral DNA methylation differences in the Alzheimer's Disease Neuroimaging Initiative (ADNI) to reveal novel biomarkers of disease
    Vasanthakumar, Aparna
    Davis, Justin W.
    Idler, Kenneth
    Waring, Jeffrey F.
    Asque, Elizabeth
    Riley-Gillis, Bridget
    Grosskurth, Shaun
    Srivastava, Gyan
    Kim, Sungeun
    Nho, Kwangsik
    Nudelman, Kelly N. H.
    Faber, Kelley
    Sun, Yu
    Foroud, Tatiana M.
    Estrada, Karol
    Apostolova, Liana G.
    Li, Qingqin S.
    Saykin, Andrew J.
    CLINICAL EPIGENETICS, 2020, 12 (01)
  • [34] Application of the IWG-2 Diagnostic Criteria for Alzheimer's Disease to the ADNI
    Wang, Hui-Fu
    Tan, Lan
    Cao, Lei
    Zhu, Xi-Chen
    Jiang, Teng
    Tan, Meng-Shan
    Liu, Ying
    Wang, Chong
    Tsai, Richard M.
    Jia, Jian-Ping
    Yu, Jin-Tai
    JOURNAL OF ALZHEIMERS DISEASE, 2016, 51 (01) : 227 - 236
  • [35] The Italian Alzheimer's Disease Neuroimaging Initiative (I-ADNI): Validation of Structural MR Imaging
    Cavedo, Enrica
    Redolfi, Alberto
    Angeloni, Francesco
    Babiloni, Claudio
    Lizio, Roberta
    Chiapparini, Luisa
    Bruzzone, Maria G.
    Aquino, Domenico
    Sabatini, Umberto
    Alesiani, Marcella
    Cherubini, Andrea
    Salvatore, Elena
    Soricelli, Andrea
    Vernieri, Fabrizio
    Scrascia, Federica
    Sinforiani, Elena
    Chiarati, Patrizia
    Bastianello, Stefano
    Montella, Patrizia
    Corbo, Daniele
    Tedeschi, Gioacchino
    Marino, Silvia
    Baglieri, Annalisa
    De Salvo, Simona
    Carducci, Filippo
    Quattrocchi, Carlo C.
    Cobelli, Milena
    Frisoni, Giovanni B.
    JOURNAL OF ALZHEIMERS DISEASE, 2014, 40 (04) : 941 - 952
  • [36] A Novel Score to Predict Individual Risk for Future Alzheimer's Disease: A Longitudinal Study of the ADNI Cohort
    Guo, Hongxiu
    Sun, Shangqi
    Yang, Yang
    Ma, Rong
    Wang, Cailin
    Zheng, Siyi
    Wang, Xiufeng
    Li, Gang
    JOURNAL OF ALZHEIMERS DISEASE, 2024, 101 (03) : 923 - 936
  • [37] Predicting Alzheimer's Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort
    Musto, Henry
    Stamate, Daniel
    Pu, Ida
    Stahl, Daniel
    COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2023, 2023, 14162 : 700 - 712
  • [38] The importance of the dyad: Participant perspectives on sharing biomarker results in Alzheimer's disease research
    Ketchum, Fred B.
    Chin, Nathaniel A.
    Erickson, Claire
    Lambrou, Nickolas H.
    Basche, Kristin
    Gleason, Carey E.
    Clark, Lindsay
    ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS, 2023, 9 (03)
  • [39] Biomarker discovery for Alzheimer's disease, frontotemporal lobar degeneration, and Parkinson's disease
    Hu, William T.
    Chen-Plotkin, Alice
    Arnold, Steven E.
    Grossman, Murray
    Clark, Christopher M.
    Shaw, Leslie M.
    McCluskey, Leo
    Elman, Lauren
    Karlawish, Jason
    Hurtig, Howard I.
    Siderowf, Andrew
    Lee, Virginia M. -Y.
    Soares, Holly
    Trojanowski, John Q.
    ACTA NEUROPATHOLOGICA, 2010, 120 (03) : 385 - 399
  • [40] Associations of circulating saturated long-chain fatty acids with risk of mild cognitive impairment and Alzheimer's disease in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort
    Fan, Lei
    Borenstein, Amy R.
    Wang, Sophia
    Nho, Kwangsik
    Zhu, Xiangzhu
    Wen, Wanqing
    Huang, Xiang
    Mortimer, James A.
    Shrubsole, Martha J.
    Dai, Qi
    EBIOMEDICINE, 2023, 97