ORCID: https://orcid.org/0000-0001-8192-7593; Urey, Deniz Yagmur; Karlsson, Linda
ORCID: https://orcid.org/0000-0002-0630-772X; Zhu, Zeyu
ORCID: https://orcid.org/0000-0003-0970-4832; Shen, Yuanyuan; Farinas, Amelia; Timsina, Jigyasha; Duggan, Michael R.
ORCID: https://orcid.org/0000-0002-1029-4423; Chen, Jingsha; Guldner, Ian H.; Morshed, Nader
ORCID: https://orcid.org/0000-0002-0346-9651; Yang, Chengran
ORCID: https://orcid.org/0000-0003-4577-5590; Western, Daniel
ORCID: https://orcid.org/0000-0003-3725-9553; Ali, Muhammad
ORCID: https://orcid.org/0000-0002-1399-6631; Le Guen, Yann
ORCID: https://orcid.org/0000-0001-6649-8364; Trelle, Alexandra; Herukka, Sanna-Kaisa; Rauramaa, Tuomas; Hiltunen, Mikko; Lipponen, Anssi
ORCID: https://orcid.org/0000-0002-4403-9084; Luikku, Antti J.; Poston, Kathleen L.
ORCID: https://orcid.org/0000-0003-3424-7143; Mormino, Elizabeth; Wagner, Anthony D.
ORCID: https://orcid.org/0000-0003-0624-4543; Wilson, Edward N.
ORCID: https://orcid.org/0000-0003-0640-5247; Channappa, Divya; Leinonen, Ville; Stevens, Beth; Ehrenberg, Alexander J.; Gottesman, Rebecca F.
ORCID: https://orcid.org/0000-0002-9504-1256; Coresh, Josef
ORCID: https://orcid.org/0000-0002-4598-0669; Walker, Keenan A.
ORCID: https://orcid.org/0000-0002-5989-9853; Zetterberg, Henrik
ORCID: https://orcid.org/0000-0003-3930-4354; Bennett, David A.; Franzmeier, Nicolai
ORCID: https://orcid.org/0000-0001-9736-2283; Hansson, Oskar
ORCID: https://orcid.org/0000-0001-8467-7286; Cruchaga, Carlos
ORCID: https://orcid.org/0000-0002-0276-2899 und Wyss-Coray, Tony
ORCID: https://orcid.org/0000-0001-5893-0831
(2025):
A cerebrospinal fluid synaptic protein biomarker for prediction of cognitive resilience versus decline in Alzheimer’s disease.
In: Nature Medicine [Forthcoming]
Abstract
Rates of cognitive decline in Alzheimer’s disease (AD) are extremely heterogeneous. Although biomarkers for amyloid-beta (Aβ) and tau proteins, the hallmark AD pathologies, have improved pathology-based diagnosis, they explain only 20–40% of the variance in AD-related cognitive impairment (CI). To discover novel biomarkers of CI in AD, we performed cerebrospinal fluid (CSF) proteomics on 3,397 individuals from six major prospective AD case–control cohorts. Synapse proteins emerged as the strongest correlates of CI, independent of Aβ and tau. Using machine learning, we derived the CSF YWHAG:NPTX2 synapse protein ratio, which explained 27% of the variance in CI beyond CSF pTau181:Aβ42, 11% beyond tau positron emission tomography, and 28% beyond CSF neurofilament, growth-associated protein 43 and neurogranin in Aβ+ and phosphorylated tau+ (A+T1+) individuals. CSF YWHAG:NPTX2 also increased with normal aging and 20 years before estimated symptom onset in carriers of autosomal dominant AD mutations. Regarding cognitive prognosis, CSF YWHAG:NPTX2 predicted conversion from A+T1+ cognitively normal to mild cognitive impairment (standard deviation increase hazard ratio = 3.0, P = 7.0 × 10–4) and A+T1+ mild cognitive impairment to dementia (standard deviation increase hazard ratio = 2.2, P = 8.2 × 10–16) over a 15-year follow-up, adjusting for CSF pTau181:Aβ42, CSF neurofilament, CSF neurogranin, CSF growth-associated protein 43, age, APOE4 and sex. We also developed a plasma proteomic signature of CI, which we evaluated in 13,401 samples, which partly recapitulated CSF YWHAG:NPTX2. Overall, our findings underscore CSF YWHAG:NPTX2 as a robust prognostic biomarker for cognitive resilience versus AD onset and progression, highlight the potential of plasma proteomics in replacing CSF measurement and further implicate synapse dysfunction as a core driver of AD dementia.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin > Munich Cluster for Systems Neurology (SyNergy)
Medizin > Institut für Schlaganfall- und Demenzforschung (ISD) |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
ISSN: | 1078-8956 |
Sprache: | Englisch |
Dokumenten ID: | 126007 |
Datum der Veröffentlichung auf Open Access LMU: | 13. Mai 2025 13:57 |
Letzte Änderungen: | 13. Mai 2025 13:57 |
DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390857198 |