A cerebrospinal fluid synaptic protein biomarker for prediction of cognitive resilience versus decline in Alzheimer’s disease

Hamilton Oh(Neurosciences Institute), Deniz Yagmur Urey(Neurosciences Institute), Linda Karlsson(Lund University), Zeyu Zhu(LMU Klinikum), Yuanyuan Shen(Washington University in St. Louis), Amelia Farinas(Neurosciences Institute), Jigyasha Timsina(Washington University in St. Louis), Michael R. Duggan(National Institutes of Health), Jingsha Chen(Johns Hopkins University), Ian H. Guldner(Stanford University), Nader Morshed(Broad Institute), Chengran Yang(Washington University in St. Louis), Daniel Western(Washington University in St. Louis), Muhammad Ali(Washington University in St. Louis), Yann Le Guen(Stanford University), Alexandra N. Trelle(National Institutes of Health), Sanna-Kaisa Herukka(University of Eastern Finland), Tuomas Rauramaa(University of Eastern Finland), Mikko Hiltunen(University of Eastern Finland), Anssi Lipponen(University of Eastern Finland), Antti Luikku(University of Eastern Finland), Kathleen L. Poston(Neurosciences Institute), Elizabeth C. Mormino(Stanford University), Anthony D. Wagner(Neurosciences Institute), Edward N. Wilson(Neurosciences Institute), Divya Channappa(Neurosciences Institute), Ville Leinonen(University of Eastern Finland), Beth Stevens(Broad Institute), Alexander J. Ehrenberg(University of California, San Francisco), Rebecca F. Gottesman(National Institute of Neurological Disorders and Stroke), Josef Coresh(New York University), Keenan A. Walker(National Institutes of Health), Henrik Zetterberg(University of Wisconsin–Madison), David A. Bennett(Rush University Medical Center), Nicolai Franzmeier(LMU Klinikum), Oskar Hansson(Lund University), Carlos Cruchaga(Washington University in St. Louis), Tony Wyss‐Coray(Neurosciences Institute)
Nature Medicine
March 31, 2025
Cited by 82Open Access
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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. The ratio between the levels of two synaptic proteins in cerebrospinal fluid predicts future cognitive resilience versus decline among presymptomatic individuals and individuals with early Alzheimer’s disease harboring amyloid and tau pathology.


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