Dementia And Alzheimer s Disease

Biomarkers of Neurodegeneration

Biomarkers of Neurodegeneration

Biomarkers of Neurodegeneration

Our lab has an active research program developing biomarkers for neurodegenerative diseases. We support activities of the Brown Center for Alzheimer’s Disease Research and other studies including clinical trials, by providing biofluid biomarker analysis. A long-term research effort for the lab is the CAVU Program – an ambitious undertaking to develop a blood-based biomarker panel sensitive to the broad spectrum of neurodegenerative diseases.

Selected Publications

Do AN, Song S, Ali M, Timsina J, Wang L, Western D, Liu M, Sanford J, Rosende-Roca M, Boada M, Puerta R, Wilson EN, Ruiz A, Pastor P, ADNI, Wyss-Coray T & Cruchaga C “CSF proteomic profiling with amyloid and tau pathology identifies distinctive sex-specific alteration of multiple proteins involved in Alzheimer’s disease”  Alzheimer’s & Dementia. 22(1):e71063 (2026).  [PubMed]

Introduction: In Alzheimer’s disease (AD), females have higher prevalence and faster progression, but sex-specific molecular findings in AD are limited.

Methods: We comprehensively examined 6162 proteins in cerebrospinal fluid (CSF) from 2496 participants to identify sex-specific proteomic alteration by CSF amyloid beta (Aβ)42 and phosphorylated tau (p-tau) levels.

Results: We identified and replicated 68 male-specific and 116 female-specific proteins associated with Aβ42 and/or p-tau levels. Apolipoprotein E ε4 carrier status modified sex-specific alterations of multiple proteins including S100A9 and NEFL for Aβ42 and MAPK9 and MAPKAPK2 for p-tau. Male-specific proteins, enriched in microglia, were involved in activating innate immune response. The male network exhibited direct connections among 30 proteins and highlighted MAPKAPK2 as a hub. Female-specific proteins, enriched in endothelial cells, were involved in regulating protein metabolic process. The female network exhibited direct connections among 43 proteins and highlighted CSNK2A2 and PRKCA as hubs.

Discussion: Our findings provide insights into mechanistic understanding of sex differences in AD risk.

Highlights: Our proteomic study of 6162 proteins (targeted by 7006 aptamers) in cerebrospinal fluid (CSF) from 2496 participants identified and replicated 68 male-specific and 116 female-specific proteins associated with cerebrospinal fluid amyloid beta 42 and/or phosphorylated tau levels. Male-specific proteins, enriched in microglia, were involved in activation of innate immune response. The male network highlighted MAPKAPK2 involved in chronic neuronal neuroinflammation as a hub. Female-specific proteins, enriched in endothelial cells, were involved in regulation of protein metabolic process and response to external stimuli. The female network highlighted PRKCA regulating synaptic plasticity and CSNK2A2 protein involved in neuroplasticity as hubs.

Winer, JR, Vossler H, Young CB, Smith V, Romero A, Shahid-Besanti M, Abdelnour C, Wilson EN, Anders D, Pacheco Morales A, Andreasson KI, Yutsis MV, Henderson VW, Davidzon GA, Mormino EC, Poston KL “18F-PI-2620 Tau PET is associated with cognitive and motor impairment in Lewy body disease” Brain Communications. 7(1) (2025).  [PubMed]

Co-pathology is frequent in Lewy body disease, which includes clinical diagnoses of both Parkinson’s disease and dementia with Lewy bodies. Measuring concomitant pathology in vivo can improve clinical and research diagnoses and prediction of cognitive trajectories. Tau PET imaging may serve a dual role in Lewy body disease by measuring cortical tau aggregation as well as assessing dopaminergic loss attributed to binding to neuromelanin within substantia nigra. We sought to characterize 18F-PI-2620, a next generation PET tracer, in individuals with Lewy body disease. We recruited 141 participants for 18F-PI-2620 PET scans from the Stanford Alzheimer’s Disease Research Center and the Stanford Aging and Memory Study, most of whom also had β-amyloid status available (139/141) from PET or cerebrospinal fluid. We compared 18F-PI-2620 uptake within entorhinal cortex, inferior temporal cortex, precuneus and lingual gyrus, as well as substantia nigra, across participants with Lewy body disease [Parkinson’s disease (n = 29), dementia with Lewy bodies (n = 14)] and Alzheimer’s disease (n = 28), in addition to cognitively unimpaired healthy older adults (n = 70). Mean bilateral signal was extracted from cortical regions of interest in 18F-PI-2620 standard uptake value ratio (inferior cerebellar grey reference) images normalized to template space. A subset of participants received cognitive testing and/or the Movement Disorders Society Unified Parkinson’s Disease Rating Scale Part III motor exam (off medication). 18F-PI-2620 uptake was low overall in Lewy body disease and correlated with β-amyloid PET in temporal lobe regions and precuneus. Moreover, inferior temporal 18F-PI-2620 uptake was significantly elevated in β-amyloid positive relative to β-amyloid negative participants with Lewy body disease. Temporal lobe 18F-PI-2620 signal was not associated with memory in Lewy body disease, but uptake within precuneus and lingual gyrus was associated with worse executive function and attention/working memory performance. Finally, substantia nigra 18F-PI-2620 signal was significantly reduced in participants with Parkinson’s disease, and lower substantia nigra signal was associated with greater motor impairment. These findings suggest that although levels are lower than in Alzheimer’s disease, small elevations in cortical tau are associated with cognitive function in Lewy body disease relevant domains, and that reduced 18F-PI-2620 binding in substantia nigra may represent loss of dopaminergic neurons. Cortical tau and neuromelanin binding within substantia nigra represent two unique signals in the same PET image that may be informative in the context of cognitive and motor deficits, respectively, in Lewy body disease.

Oh HS, Urey DY, Karlsson L, Zhu Z, Shen Y, Farinas A, Timsina J, Duggan MR, Chen J, Guldner IH, Morshed N, Yang C, Western D, Ali M, Le Guen Y, Trelle A, Herukka SK, Rauramaa T, Hiltunen M, Lipponen A, Luikku AJ, Poston KL, Mormino E, Wagner AD, Wilson EN, Channappa D, Leinonen V, Stevens B, Ehrenberg AJ, Gottesman RF, Coresh J, Walker KA, Zetterberg H, Bennett DA, Franzmeier N, Hansson O, Cruchaga C, Wyss-Coray T “A Cerebrospinal Fluid Synaptic Protein Biomarker for Prediction of Resilience Versus Decline in Alzheimer’s Disease” Nature Medicine. 31:1592-1603 (2025).  [PubMed]

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.

Wilson EN, Umans J, Swarovski MS, Minhas PS, Mendiola, J.H., Midttun Ø, Ulvik A, Shahid-Besanti M, Linortner P, Mhatre SD, Wang Q, Channappa D, Corso NK, Tian L, Fredericks CA, Kerchner GA, Plowey ED, Cholerton B, Ueland PM, Zabetian CP, Gray NE, Quinn JF, Montine TJ, Sha SJ, Longo FM, Wolk DA, Chen-Plotkin A, Henderson VW, Wyss-Coray T, Wagner AD, Mormino EC, Aghaeepour N, Poston KL, Andreasson KI “Parkinson’s disease is characterized by vitamin B6-dependent inflammatory kynurenine pathway dysfunction” npj Parkinson’s Disease. 11(1):96 (2025).  [PubMed]

Recent studies demonstrate that Parkinson’s disease (PD) is associated with dysregulated metabolic flux through the kynurenine pathway (KP), in which tryptophan is converted to kynurenine (KYN), and KYN is subsequently metabolized to neuroactive compounds quinolinic acid (QA) and kynurenic acid (KA). Here, we used mass-spectrometry to compare blood and cerebral spinal fluid (CSF) KP metabolites between 158 unimpaired older adults and 177 participants with PD. We found increased neuroexcitatory QA/KA ratio in both plasma and CSF of PD participants associated with peripheral and cerebral inflammation and vitamin B6 deficiency. Furthermore, increased QA tracked with CSF tau, CSF soluble TREM2 (sTREM2) and severity of both motor and non-motor PD clinical symptoms. Finally, PD patient subgroups with distinct KP profiles displayed distinct PD clinical features. These data validate the KP as a site of brain and periphery crosstalk, integrating B-vitamin status, inflammation and metabolism to ultimately influence PD clinical manifestation.

Trelle AN, Young CB, Vossler H, Ramos Benitez J, Cody KC, Swarovski MS, Le Guen Y, Kasireddy NM, Feinstein I, Butler III RR, Channappa D, Romero A, Park J, Shahid-Besanti M, Corso NK, Chau K, Smith AN, Skylar-Scott I, Yutsis MV, Fredericks CA, Tian L, Younes K, Kerchner GA, Deutsch GK, Davidzon G, Sha SJ, Henderson VW, Longo FM, Greicius MD, Wyss-Coray T, Andreasson KI, Poston KL, Wagner AD, Mormino EC & Wilson EN “Plasma Aβ42/Aβ40 is sensitive to cerebral Aβ accumulation across the Alzheimer’s disease spectrum”. Alzheimer’s & Dementia. 21(2): e14442 (2025).  [PubMed]

Introduction: The availability of amyloid beta (Aβ) targeting therapies for Alzheimer’s disease (AD) is increasing the demand for scalable biomarkers that are sensitive to early cerebral Aβ accumulation.

Methods: We evaluated fully-automated Lumipulse plasma Aβ42/Aβ40 immunoassays for detecting cerebral Aβ in 457 clinically unimpaired (CU) and clinically impaired (CI) Stanford Alzheimer’s Disease Research Center (Stanford ADRC) participants and 186 CU in the Stanford Aging and Memory Study (SAMS). Longitudinal change in ADRC plasma Aβ42/Aβ40 and cognition and cross-sectional associations with SAMS memory and tau positron emission tomography (PET) were examined.

Results: Plasma Aβ42/Aβ40 exhibited high performance in detecting amyloid positivity defined by PET (area under the curve [AUC]: 0.885, 95% confidence interval [CI]: 0.816-0.955). Once abnomal, plasma Aβ42/Aβ40 remained low and predicted cognitive decline in both CU and CI individuals. Among SAMS CU, plasma Aβ42/Aβ40 was associated with poorer hippocampal-dependent memory and elevated tau accumulation.

Discussion: Lumipulse plasma Aβ42/Aβ40 is a scalable assay for detection of cerebral Aβ and prediction of risk for cognitive decline across the AD continuum.

Highlights: Lumipulse plasma amyloid beta (Aβ)42/Aβ40 exhibited high accuracy in detecting amyloid positivity. Plasma amyloid-positive (Aβ+) individuals exhibited stability of Aβ42/Aβ40 over time. Plasma Aβ42/Aβ40 predicted future cognitive decline across the Alzheimer’s disease (AD) spectrum. Plasma Aβ42/Aβ40 was sensitive to memory and tau burden in clinically unimpaired older adults.

Plastini, M.J., Abdelnour, C., Young C.B., Wilson, E.N., Shahid-Besanti, M., Lamoureux, J., Andreasson, Ki., Kerchner, G.A., Montine, T.J., Henderson, V.W., Poston, K.L. “Multiple biomarkers improve diagnostic accuracy across Lewy body and Alzheimer’s disease spectra” Annals of Clinical and Translational Neurology 11(5), 1197-1210 (2024).  [PubMed]

Objective: More than half of neurodegenerative disease patients have multiple pathologies at autopsy; however, most receive one diagnosis during life. We used the α-synuclein seed amplification assay (αSyn-SAA) and CSF biomarkers for amyloidosis and Alzheimer’s disease (AD) neuropathological change (ADNC) to determine the frequency of co-pathologies in participants clinically diagnosed with Lewy body (LB) disease or AD.

Methods: Using receiver operating characteristic analyses on retrospective CSF samples from 150 participants determined αSyn-SAA accuracy, sensitivity, and specificity for identifying clinically defined LB disease and predicting future change in clinical diagnosis. CSF biomarkers helped determine the frequency of concomitant Lewy body pathology, ADNC, and/or amyloidosis in participants with LB disease and AD, across clinical spectra.

Results: Following a decade-long follow-up, the clinically or autopsy-defined diagnosis changed for nine participants. αSyn-SAA demonstrated improved accuracy (91.3%), sensitivity (89.3%), and specificity (93.3%) for identifying LB disease compared to all non-LB disease, highlighting the limitations of clinical diagnosis alone. When examining biomarkers of co-pathology, amyloidosis was present in 18%, 48%, and 71% (χ2(2) = 13.56, p = 0.001) and AD biomarkers were present in 0%, 8.7%, and 42.9% (χ2(2) = 18.44, p < 0.001) of LB disease participants with different stages of cognitive impairment respectively. Co-occurring biomarkers for αSyn-SAA and amyloidosis were present in 12% and 14% of AD compared to 43% and 57% LB disease participants with different stages of cognitive impairment (χ2(3) = 13.87, p = 0.003).

Interpretation: Our study shows that using a combination of αSyn-SAA and AD biomarkers can identify people with αSyn, ADNC, and co-pathology better and earlier than traditional clinical diagnostic criteria alone.

Wilson EN, Wang C, Swarovski MS, Zera KA, Ennerfelt HA, Wang Q, Chaney A, Gauba E, Ramos Benitez J, Le Guen Y, Minhas PS, Panchal M, Tan YJ, Blacher E, Iweka CA, Cropper H, Jain P, Liu Q, Mehta SS, Zuckerman AJ, Xin M, Umans J, Huang J, Durairaj AS, Serrano GE, Beach TG, Greicius MD, James ML, Buckwalter MS, McReynolds MR, Rabinowitz JD & Andreasson KI “TREM1 disrupts myeloid bioenergetics and cognitive function in aging and Alzheimer’s disease mouse models” Nature Neuroscience. 27, 873-885 (2024).  [PubMed]

Human genetics implicate defective myeloid responses in the development of late-onset Alzheimer disease. A decline in peripheral and brain myeloid metabolism, triggering maladaptive immune responses, is a feature of aging. The role of TREM1, a pro-inflammatory factor, in neurodegenerative diseases is unclear. Here we show that Trem1 deficiency prevents age-dependent changes in myeloid metabolism, inflammation and hippocampal memory function in mice. Trem1 deficiency rescues age-associated declines in ribose 5-phosphate. In vitro, Trem1-deficient microglia are resistant to amyloid-β42 oligomer-induced bioenergetic changes, suggesting that amyloid-β42 oligomer stimulation disrupts homeostatic microglial metabolism and immune function via TREM1. In the 5XFAD mouse model, Trem1 haploinsufficiency prevents spatial memory loss, preserves homeostatic microglial morphology, and reduces neuritic dystrophy and changes in the disease-associated microglial transcriptomic signature. In aging APPSwe mice, Trem1 deficiency prevents hippocampal memory decline while restoring synaptic mitochondrial function and cerebral glucose uptake. In postmortem Alzheimer disease brain, TREM1 colocalizes with Iba1+ cells around amyloid plaques and its expression is associated with Alzheimer disease clinical and neuropathological severity. Our results suggest that TREM1 promotes cognitive decline in aging and in the context of amyloid pathology.

Oh, H., Rutledge, J., Pavlovics, R., Nachun, D., Pálovics, R., Abiose, O., Moran-Losada, P., Channappa D., Urey, D.Y., Kim, K., Sung Y.J., Wang, L., Timsina, J., Western, D., Liu, M., Kohlfeld, P., Budde, J., Wilson, E.N., Guen, Y., Maurer, T.M., Haney, M., Yang, A.C., He, Z., Greicius, M.D., Andreasson, K.I., Sathyan, S., Weiss, E.F., Milman, S., Barzilai, N., Cruchaga, C., Wagner, A.D., Mormino, E., Lehallier, B., Henderson, V.W., Longo, F.M., Montgomery, S.B., Wyss-Coray, T. “Organ-specific aging signatures in the plasma proteome track health and disease” Nature 624(7990):164-172 (2023).  [PubMed]

Animal studies show aging varies between individuals as well as between organs within an individual1-4, but whether this is true in humans and its effect on age-related diseases is unknown. We utilized levels of human blood plasma proteins originating from specific organs to measure organ-specific aging differences in living individuals. Using machine learning models, we analysed aging in 11 major organs and estimated organ age reproducibly in five independent cohorts encompassing 5,676 adults across the human lifespan. We discovered nearly 20% of the population show strongly accelerated age in one organ and 1.7% are multi-organ agers. Accelerated organ aging confers 20-50% higher mortality risk, and organ-specific diseases relate to faster aging of those organs. We find individuals with accelerated heart aging have a 250% increased heart failure risk and accelerated brain and vascular aging predict Alzheimer’s disease (AD) progression independently from and as strongly as plasma pTau-181 (ref. 5), the current best blood-based biomarker for AD. Our models link vascular calcification, extracellular matrix alterations and synaptic protein shedding to early cognitive decline. We introduce a simple and interpretable method to study organ aging using plasma proteomics data, predicting diseases and aging effects.

Feinstein I, Wilson EN, Swarovski MS, Andreasson KI, Angst MS, Greicius MD, “Plasma Biomarkers of Tau and Neurodegeneration During Major Cardiac and Non-Cardiac Surgery,” JAMA Neurology 78(11), 1407-1409 (2021).  [PubMed]

This analysis compares plasma biomarkers of tau and neurodegeneration during major cardiac and noncardiac surgeries.

Wilson EN, Swarovski MS, Linortner P, Shahid M, Zuckerman AJ, Wang Q, Channappa D, Minhas PS, Mhatre SD, Plowey ED, Quinn JF, Zabetian CP, Tian L, Longo FM, Cholerton B, Montine TJ, Poston KL, Andreasson KI   “Soluble TREM2 is elevated in Parkinson’s disease subgroups with elevated CSF tau,” Brain 143 (3), 932-943 (2020).  [PubMed]

Parkinson’s disease is the second most common neurodegenerative disease after Alzheimer’s disease and affects 1% of the population above 60 years old. Although Parkinson’s disease commonly manifests with motor symptoms, a majority of patients with Parkinson’s disease subsequently develop cognitive impairment, which often progresses to dementia, a major cause of morbidity and disability. Parkinson’s disease is characterized by α-synuclein accumulation that frequently associates with amyloid-β and tau fibrils, the hallmarks of Alzheimer’s disease neuropathological changes; this co-occurrence suggests that onset of cognitive decline in Parkinson’s disease may be associated with appearance of pathological amyloid-β and/or tau. Recent studies have highlighted the appearance of the soluble form of the triggering receptor expressed on myeloid cells 2 (sTREM2) receptor in CSF during development of Alzheimer’s disease. Given the known association of microglial activation with advancing Parkinson’s disease, we investigated whether CSF and/or plasma sTREM2 differed between CSF biomarker-defined Parkinson’s disease participant subgroups. In this cross-sectional study, we examined 165 participants consisting of 17 cognitively normal elderly subjects, 45 patients with Parkinson’s disease with no cognitive impairment, 86 with mild cognitive impairment, and 17 with dementia. Stratification of subjects by CSF amyloid-β and tau levels revealed that CSF sTREM2 concentrations were elevated in Parkinson’s disease subgroups with a positive tau CSF biomarker signature, but not in Parkinson’s disease subgroups with a positive CSF amyloid-β biomarker signature. These findings indicate that CSF sTREM2 could serve as a surrogate immune biomarker of neuronal injury in Parkinson’s disease.