To have a better understanding of a disease, such as Alzheimer, it is not enough to study it from a single angle, or to explore the relationship between gene variants and disease status in a single tissue, even if it clinically relevant (e.g. brain for AD). For this reason, we have committed to the study of multiple “omic” layers, including transcriptomics, proteomics, lipidomics, and metabolomics in multiple tissue that are clinically relevant to AD diagnosis and treatment.
We are leveraging our access to large, well-characterized AD and control cohorts with brain, CSF, and plasma tissue samples. We plan to use high-throughput, multi-comic methods and advanced computational approaches, such as machine learning, to identify genes, pathways, molecular signatures, and potential biomarkers and drug targets for AD. This knowledge will lead to better informed risk prediction, diagnostics, and treatment of AD.
Publications
- Wang L, Western D, Timsina J, Repaci C, Song WM, Norton J, Kohlfeld P, Budde J, Climer S, Butt OH, Jacobson D, Garvin M, Templeton AR, Campagna S, O’Halloran J, Presti R, Goss CW, Mudd PA, Ances BM, Zhang B, Sung YJ, Cruchaga C. Plasma proteomics of SARS-CoV-2 infection and severity reveals impact on Alzheimer and coronary disease pathways. medRxiv [Preprint]. 2022 Jul 25:2022.07.25.22278025. doi: 10.1101/2022.07.25.22278025. PMID: 35923315; PMCID: PMC9347279.
- Jansen IE, van der Lee SJ, Gomez-Fonseca D, de Rojas I, Dalmasso MC, Grenier-Boley B, Zettergren A, Mishra A, Ali M, Andrade V, Bellenguez C, Kleineidam L, Küçükali F, Sung YJ, Tesí N, Vromen EM, Wightman DP, Alcolea D, Alegret M, Alvarez I, Amouyel P, Athanasiu L, Bahrami S, Bailly H, Belbin O, Bergh S, Bertram L, Biessels GJ, Blennow K, Blesa R, Boada M, Boland A, Buerger K, Carracedo Á, Cervera-Carles L, Chene G, Claassen JAHR, Debette S, Deleuze JF, de Deyn PP, Diehl-Schmid J, Djurovic S, Dols-Icardo O, Dufouil C, Duron E, Düzel E; EADB consortium, Fladby T, Fortea J, Frölich L, García-González P, Garcia-Martinez M, Giegling I, Goldhardt O, Gobom J, Grimmer T, Haapasalo A, Hampel H, Hanon O, Hausner L, Heilmann-Heimbach S, Helisalmi S, Heneka MT, Hernández I, Herukka SK, Holstege H, Jarholm J, Kern S, Knapskog AB, Koivisto AM, Kornhuber J, Kuulasmaa T, Lage C, Laske C, Leinonen V, Lewczuk P, Lleó A, de Munain AL, Lopez-Garcia S, Maier W, Marquié M, Mol MO, Montrreal L, Moreno F, Moreno-Grau S, Nicolas G, Nöthen MM, Orellana A, Pålhaugen L, Papma JM, Pasquier F, Perneczky R, Peters O, Pijnenburg YAL, Popp J, Posthuma D, Pozueta A, Priller J, Puerta R, Quintela I, Ramakers I, Rodriguez-Rodriguez E, Rujescu D, Saltvedt I, Sanchez-Juan P, Scheltens P, Scherbaum N, Schmid M, Schneider A, Selbæk G, Selnes P, Shadrin A, Skoog I, Soininen H, Tárraga L, Teipel S; GR@ACE study group, Tijms B, Tsolaki M, Van Broeckhoven C, Van Dongen J, van Swieten JC, Vandenberghe R, Vidal JS, Visser PJ, Vogelgsang J, Waern M, Wagner M, Wiltfang J, Wittens MMJ, Zetterberg H, Zulaica M, van Duijn CM, Bjerke M, Engelborghs S, Jessen F, Teunissen CE, Pastor P, Hiltunen M, Ingelsson M, Andreassen OA, Clarimón J, Sleegers K, Ruiz A, Ramirez A, Cruchaga C, Lambert JC, van der Flier W. Genome-wide meta-analysis for Alzheimer’s disease cerebrospinal fluid biomarkers. Acta Neuropathol. 2022 Nov;144(5):821-842. doi: 10.1007/s00401-022-02454-z. Epub 2022 Sep 6. PMID: 36066633; PMCID: PMC9547780.
- Yang C, Farias FHG, Ibanez L, Suhy A, Sadler B, Fernandez MV, Wang F, Bradley JL, Eiffert B, Bahena JA, Budde JP, Li Z, Dube U, Sung YJ, Mihindukulasuriya KA, Morris JC, Fagan AM, Perrin RJ, Benitez BA, Rhinn H, Harari O, Cruchaga C. Genomic atlas of the proteome from brain, CSF and plasma prioritizes proteins implicated in neurological disorders. Nat Neurosci. 2021 Sep;24(9):1302-1312. doi: 10.1038/s41593-021-00886-6. Epub 2021 Jul 8. PMID: 34239129; PMCID: PMC8521603.
- Ibanez L, Cruchaga C, Fernández MV. Advances in Genetic and Molecular Understanding of Alzheimer’s Disease. Genes (Basel). 2021 Aug 15;12(8):1247. doi: 10.3390/genes12081247. PMID: 34440421; PMCID: PMC8394321.