Oskar Hansson’s research while affiliated with Skåne University Hospital and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (204)


Covariate influences on plasma p‐tau217 concentrations. Patients with unknown clinical diagnoses were excluded from the full cohort. Standardized β‐coefficients of numeric variables were included as predictors (blue = AD; orange = CSF/Aβ‐PET‐examined). Plasma p‐tau217 was log‐transformed. Aβ‐PET, amyloid beta; AD, Alzheimer's disease; BMI, body mass index; CSF, cerebrospinal fluid; eGFR, estimated glomerular filtration rate; HbA1c, hemoglobin A1c; p‐tau217, phosphorylated tau‐217; PET, positron emission tomography.
Diagnostic accuracy. Graph A = Full cohort, Graph B = CSF/Aβ‐PET examined cohort. Base model: p‐tau217. Ethnicity model: p‐tau217 + geographic origin. Covariate model: p‐tau217 + age + sex + BMI + eGFR. Full model: p‐tau217 + geographic origin + age + sex + BMI + eGFR. Aβ, amyloid beta; AUC, area under the receiver‐operating characteristic (ROC) curve; BMI, body mass index; CSF, cerebrospinal fluid; eGFR, estimated glomerular filtration rate; p‐tau217, phosphorylated tau‐217; PET, positron emission tomography; SD, standard deviation.
Plasma concentrations stratified by AD status and geographic origin. Orange = non‐AD, Blue = AD. Circles = Clinically examined patients, Triangles = CSF/Aβ‐PET examined patients. The horizontal line signifies the pre‐established threshold of 0.308 pg/mL from Lund University based on Youden's index. The boxplot represents the interquartile range and median within the box, whereas the whiskers show the data range from 1.5 of the interquartile range value. Outliers are defined as the data points extending beyond the whiskers. AD, Alzheimer's disease; DK, Denmark; p‐tau217, phosphorylated tau‐217.
Influence of ethnicity on the diagnostic accuracy of plasma p‐tau217 for the identification of Alzheimer's disease: A consecutive mixed memory clinic cohort study
  • Article
  • Full-text available

June 2025

·

32 Reads

·

·

Erik Stomrud

·

[...]

·

Anja Hviid Simonsen

INTRODUCTION Blood‐based biomarkers have demonstrated high accuracy for identifying Alzheimer's disease (AD) pathology. However, the lack of representative cohorts creates a knowledge gap regarding their real‐world applicability. We examined the influence of ethnicity on the diagnostic accuracy of plasma tau phosphorylated at threonine 217 (p‐tau217) in identifying AD. METHODS A total of 1170 mixed memory clinic patients originating from 91 different countries were included. Cerebrospinal fluid or amyloid positron emission tomography supplemented the diagnostic evaluation for 539 patients. Plasma was analyzed for p‐tau217. RESULTS Plasma p‐tau217 concentrations did not differ between ethnic groups, and there was no influence of ethnicity on the diagnostic accuracy of plasma p‐tau217. Plasma p‐tau217 demonstrated strong discriminative ability for AD and AD‐pathology in our ethnically diverse cohort. DISCUSSION Our study suggests that ethnicity does not influence the diagnostic accuracy of plasma p‐tau217. Nonetheless, medical conditions influencing plasma biomarkers may disproportionally affect minoritized groups because of social determinants of health. Highlights Plasma tau phosphorylated at threonine 217 (p‐tau217) was highly accurate in the identification of Alzheimer's disease. Geographic origin did not influence the precision of plasma p‐tau217. Kidney function may influence p‐tau217 concentrations. Representative inclusion in studies and trials should be a priority.

Download

CSF and PET measures of SV2A. (A) SV2A concentration was measured in the CSF for individuals with AD (n = 21) and CN (n = 7). Dots represent the CSF protein concentration for each participant, and error bars represent the standard deviation. *p < 0.05 for unpaired t‐tests comparing AD to CN. Global SV2A binding (DVR) calculated without (B) and with PVC (C) was plotted with CSF SV2A concentration in the group of participants with AD. The disease stage of MCI is represented by yellow dots, and dementia is represented by red dots. Data points representing individual participants and a regression line (dotted) are plotted. *p < 0.05 for the corresponding Pearson's r. AD, Alzheimer's disease; CN, cognitively normal; CSF, cerebrospinal fluid; DVR, distribution volume ratio of [11C]UCB‐J calculated with a whole cerebellum reference region; MCI, mild cognitive impairment; PET, positron emission tomography; SV2A, synaptic vesicle glycoprotein 2A.
Regional correlations of SV2A binding (DVR) and CSF SV2A in AD. (A) Pearson's r was calculated for the correlation between SV2A binding and the CSF SV2A concentration for all brain regions in participants with AD (n = 21). A similar analysis between SV2A binding and CSF SV2A concentration was conducted (B) after PVC of [¹¹C]UCB‐J PET images. Brain maps were created by producing images with the voxels in each brain region set uniformly to the calculated Pearson's r for that region and overlaid on an MNI template T1 MRI. The color scale represents Pearson's r for regions that had an uncorrected p < 0.05. AD, Alzheimer's disease; CSF, cerebrospinal fluid; DVR, distribution volume ratio of [¹¹C]UCB‐J calculated with a whole cerebellum reference region; MNI, Montreal Neurological Institute; PVC, partial volume correction; PET, positron emission tomography; SV2A, synaptic vesicle glycoprotein 2A.
CSF biomarkers of synaptic and neuronal damage in participants with AD and normal cognition. (A) Synaptotagmin‐1 (CN n = 6; AD n = 15), (B) SNAP25Total (CN n = 6; AD n = 15), (C) SNAP25Long (CN n = 6; AD n = 15), (D) Neurogranin (CN n = 7; AD n = 21), (D) NFL (CN n = 7; AD n = 21), and (E) GAP‐43 (CN n = 7; AD n = 21) was measured in the CSF of a group of individuals with AD and a CN group. Dots represent the CSF protein concentration for each participant, and error bars represent the standard deviation. *p < 0.05, †p < 0.01, ‡p < 0.001 for unpaired t‐tests comparing AD to CN. AD, Alzheimer's disease; CN, cognitively normal; CSF, cerebrospinal fluid; GAP‐43, growth‐associated protein 43; NFL, neurofilament light chain; SNAP25, synaptosomal‐associated protein‐25 kDa.
Correlation of SV2A binding (DVR) and CSF measures of synaptic or neuronal damage in participants with AD. Global SV2A binding (DVR) was plotted with (A) Synaptotagmin‐1 (n = 15), (B) SNAP25Total (n = 15), (C) SNAP25Long (n = 15), (D) Neurogranin (n = 21), (E) NFL (n = 21), and (F) GAP‐43 (n = 21) concentration in the group of participants with AD. The disease stage of MCI is represented by yellow dots, and dementia is represented by red dots. Data points for individual participants and a regression line (dotted) are plotted. r and p‐values are displayed for Pearson's correlations. AD, Alzheimer's disease; CN, cognitively normal; CSF, cerebrospinal fluid; DVR, distribution volume ratio of [¹¹C]UCB‐J calculated with a whole cerebellum reference region; GAP‐43, growth‐associated protein 43; MCI, mild cognitive impairment; synaptic vesicle glycoprotein 2A; NFL, neurofilament light chain; SNAP25, synaptosomal‐associated protein‐25 kDa; SV2A, synaptic vesicle glycoprotein 2A.
Cerebrospinal fluid and brain positron emission tomography measures of synaptic vesicle glycoprotein 2A: Biomarkers of synaptic density in Alzheimer's disease

June 2025

·

19 Reads

INTRODUCTION Positron emission tomography (PET) imaging with ligands for synaptic vesicle glycoprotein 2A (SV2A) has emerged as a promising methodology for measuring synaptic density in Alzheimer's disease (AD). We investigated associations between SV2A concentrations in the brain and cerebrospinal fluid (CSF). METHODS Twenty‐one participants with early AD and 7 cognitively normal (CN) individuals underwent [¹¹C]UCB‐J PET. We used a novel enzyme‐linked immunosorbent assay (ELISA) to measure CSF SV2A. Other synaptic and axonal proteins were also measured in CSF. RESULTS CSF SV2A was lower in AD compared to CN participants. Within the AD group, CSF SV2A was highly correlated with SV2A PET. By contrast, other CSF proteins were generally higher in participants with AD and not associated with SV2A PET. DISCUSSION We report a novel CSF assay for SV2A that is strongly correlated with the PET measurement of SV2A. Our results suggest that CSF SV2A may serve as a biomarker for synaptic density in AD. Highlights Synaptic vesicle glycoprotein 2A (SV2A) measured by a novel cerebrospinal fluid (CSF) enzyme‐linked immunosorbent assay (ELISA) was lower in participants with symptomatic Alzheimer's disease (AD). CSF SV2A was highly correlated with SV2A measured by positron emission tomography (PET) in participants with AD. Other CSF synaptic/axonal proteins were not significantly associated with SV2A PET. CSF SV2A may serve as a biomarker for synaptic density in AD.


TAU-SPEX methodology
Voxel-wise TAU-SPEX frequency maps and association between TAU-SPEX and SUVr
TAU-SPEX and SUVr in relation to Tau-PET visual read
Comparing antemortem TAU-SPEX and SUVr to postmortem neurofibrillary tau tangle staging
Diagnostic performance of TAU-SPEX vs. SUVr for identify- ing visual read tau-positive individuals
Quantitation of PET spatial extent as a potential adjunct to visual interpretation of [F]flortaucipir imaging: TAU-SPEX

June 2025

·

32 Reads

European Journal of Nuclear Medicine and Molecular Imaging

Purpose Among visually Tau-PET-positive scans, large variation exists in the size of the visually tau-positive area. Here, we propose a metric quantifying the spatial extent of visual Tau-PET-positivity, termed “TAU-SPEX”, and evaluate associations with visual read status, neurofibrillary tangle (NFT) pathology at autopsy, and cognition. Methods [¹⁸F]flortaucipir data from 1,645 participants (aged 71.9 ± 8.2 years, 50.3% females) from four cohorts were visually read as positive or negative. TAU-SPEX was calculated as the percentage of gray matter voxels with suprathreshold Tau-PET uptake (using a threshold identical to that used for visual reading) in a spatially unconstrained whole-brain mask. We additionally computed Tau-PET SUVr in a whole-brain and temporal meta-region. We tested the performance of TAU-SPEX for distinguishing visually tau-negative from tau-positive participants and for distinguishing participants with and without NFT Braak-V/VI pathology at autopsy (n = 18), and tested associations of TAU-SPEX with concurrent and longitudinal cognition. The performance of TAU-SPEX was compared to SUVr. Results TAU-SPEX demonstrated strong performance in distinguishing tau-negative from tau-positive participants (AUC: 0.97). Moreover, TAU-SPEX showed high accuracy, sensitivity, specificity, positive predictive value and negative predictive value (all > 0.90) for identifying tau-positive participants, and showed high sensitivity (87.5%) and specificity (100.0%) for identifying participants with NFT Braak-V/VI pathology. TAU-SPEX was moderately associated with concurrent (β=-0.36 [-0.29, -0.43], p < 0.001) and longitudinal (β=-0.19 [-0.15, -0.22], p < 0.001) cognition. Across analyses, TAU-SPEX generally outperformed SUVr. Conclusion TAU-SPEX was strongly associated with visual read, NFT Braak-V/VI pathology and cognition, and might be useful in clinical settings as a potential adjunct to [¹⁸F]flortaucipir visual interpretation.


Insights into pathophysiology, biomarkers, and therapeutics in tauopathies: Proceedings of the Tau2024 Global Conference

Recent years have seen major advances in tau‐associated brain disorders through interdisciplinary research spanning molecular biology, neuroimaging, clinical trials, and therapeutic development. The Tau2024 Global Conference, hosted by the Alzheimer's Association, CurePSP, and Rainwater Charitable Foundation, showcased these efforts by bringing together researchers and experts worldwide to discuss the latest advancements in tau research. The conference aimed to attract talent and funding to study tauopathies, particularly among early‐career researchers, and to foster interdisciplinary alignment and collaboration around challenges in tau research. In this manuscript, we summarize proceedings of the Tau2024 Global Conference, covering a wide range of topics, including lived experiences of individuals with genetic forms of tauopathies, global perspectives on tauopathies, and molecular mechanisms, brain microenvironments, biomarker developments, clinical trials, and therapeutic approaches to tauopathies. Through international, collaborative efforts, innovative research, and a commitment to inclusivity, researchers worldwide have demonstrated transformative breakthroughs toward diagnosing, treating, and, ultimately, preventing tau‐related diseases. Highlights The Tau2024 Global Conference presented updates and advances in tau research. Blood‐based biomarkers offer specificity and longitudinal monitoring capabilities. There are a range of targetable mechanisms in the cascade of pathogenesis. International collaboration is vital to address disparities in tauopathies.


Age and Alzheimer's disease affect functional connectivity along separate axes of functional brain organization

May 2025

·

58 Reads

Aging and Alzheimer's disease (AD) are associated with alterations in functional connectivity (FC), yet their spatial and temporal characteristics remain debated. Whole-cortex functional gradients, which organize regions along axes of functional similarity, are positioned here as a framework for understanding such alterations. Across two independent cohorts (BioFINDER-2, N=973; ADNI, N=129), we demonstrate that hyper- and hypoconnectivity in both healthy aging and biomarker-confirmed AD progression coexist systematically, forming consistent spatial patterns that align with two distinct axes of brain organization. Using a combination of longitudinal and non-linear analyses, we show that the early (but not late) stages of AD pathology accumulation is associated with functional alteration along the sensory-association axis, a pattern that vanishes in later stages of AD. However, functional alteration along the sensory-association axis is associated with worse cognition throughout the AD spectrum, and even in older adults without AD pathology, suggesting that these FC patterns may reflect a general neural response to cognitive strain. Independently of AD, older age was associated with alterations instead along the executive-nonexecutive axis, a finding that was consistent throughout the adult lifespan. These findings highlight the fundamental role of intrinsic functional organization in shaping how the brain responds to aging and to AD, helping to resolve previously reported discrepancies.


Evaluation of the Revised Criteria for Biological and Clinical Staging of Alzheimer Disease

May 2025

·

120 Reads

JAMA Neurology

Importance While clinical disease stages remained largely unchanged in the 2024 update of the Alzheimer disease (AD) criteria, tau–positron emission tomography (PET) was introduced as a core biomarker and its spatial extent was incorporated into the revised biological stages of the disease. It is important to consider both the clinical and the biological stages and understand their discrepancies. Objective To compare individuals who have discrepant biological and clinical stages with those who have congruent stages in terms of copathologies, comorbidities, and demographics. Design, Setting, and Participants Participants were from the Swedish BioFINDER-2 (inclusion from 2017 through 2023) and the Alzheimer’s Disease Neuroimaging Initiative (ADNI) (inclusion from 2015 through 2024). BioFINDER-2 included a prospective population-based (cognitively normal [CN] older adults) and memory clinic–based cohort (participants with subjective cognitive impairment [SCD], mild cognitive impairment [MCI], and dementia). ADNI included a volunteer-based sample. All participants who were amyloid-β positive and had undergone tau-PET were included. In BioFINDER-2, 838 participants of a total of 1979 were included, and of 927 with tau-PET in ADNI, 380 were included. Exposures The clinical (CN to dementia) and biological (based on PET; initial [amyloid-β-positive only] to advanced [amyloid-β-positive, elevated, and widespread tau]) stages from the revised AD criteria. Main Outcomes and Measures Cross-sectional measures of neurodegeneration (cortical thickness, TAR DNA-binding protein 43 [TDP-43] imaging signature, neurofilament light [NfL]), α-synuclein cerebrospinal fluid status, plasma glial fibrillary acidic protein, white matter lesions, infarcts, microbleeds, comorbidities, and demographics. Results There were 838 BioFINDER-2 participants (mean age, 73.9 [SD, 7.3] years; 431 women [51%]; 407 men [49%]) and 380 ADNI participants (average age, 72.9 [SD, 7.0] years; 194 women [51%]; 186 mean [49%]) included. In BioFINDER-2, 37.7% of the sample had congruent biological and clinical stages (reference group), 51.3% had more advanced clinical impairment compared with their clinical stage (clinical > biological) and 11.0% had the opposite (biological > clinical). The main differences were between the reference group and the clinical > biological group: the latter participants were more often positive for α-synuclein pathology, had higher NfL levels, greater TDP-43–like atrophy, and higher burden of cerebral small vessel disease lesions (all false discovery rate P < .05). The only difference between the biological > clinical and the reference group was that the former had less neurodegeneration (thicker cortex; all false discovery rate P < .001). The main results were replicated in the independent ADNI cohort, where congruent 56.1% of participants had biological and clinical stages; 36.1% were in the category clinical > biological, and 7.9% in biological > clinical. Conclusions and Relevance Copathologies play an important role in symptom severity in individuals who harbor less tau-tangle pathology than expected for their clinical impairment. These results highlight the importance of measuring non–AD biomarkers in patients with AD with worse cognitive impairment than expected based on their biological stage, which could impact the clinical diagnosis and prognosis.


Study overview
CSF was collected in 116 carriers of autosomal dominant mutations for FTLD (47 C9orf72, 32 GRN and 37 MAPT) and 39 non-carrier controls with a family history of genetic FTLD. CSF was analyzed on a modified aptamer-based assay (SomaScan). After data processing, a total of 4,138 proteins were quantified. High-dimensional proteomic data were organized into modules of protein co-expression using WGCNA. CSF protein co-expression modules from the genetic FTLD network were functionally annotated using gene set and cell type enrichment approaches. CSF genetic FTLD modules were examined in relation to cross-sectional (CDR + NACC-FTLD, CSF NfL and bilateral frontotemporal volume) and longitudinal (global cognitive trajectories) indicators of disease severity. On cross-cohort and cross-platform validation analyses, genetic FTLD modules were reconstructed in independent cohorts of sporadic PSP-RS and controls (4RTNI; SomaScan) and FTLD, AD and controls (BioFINDER 2; Olink). Figure created with BioRender.
Genetic FTLD protein co-expression network
a, A CSF protein co-expression network was built using WGCNA. The genetic FLTD network consisted of 31 protein co-expression modules. Module relatedness is shown in the dendrogram (right). GO analysis was used to identify the principal biology represented by each module. Within genes, module eigenproteins in symptomatic (Sx) and presymptomatic (PreSx) variant carriers were compared against controls. Increased eigenprotein abundance in FTLD is indicated in green, whereas decreased eigenprotein abundance is indicated in blue. Module eigenproteins were correlated with disease outcomes, including CDR + NACC-FTLD, global cognitive slope, CSF NfL and bilateral frontotemporal volumes (red, positive correlation; blue, negative correlation). The cell type nature of each module was assessed by module protein overlap with cell type-specific marker lists of neurons, oligodendrocytes, astrocytes, microglia and endothelia. The asterisks in the left heat map indicate statistical significance after one-way ANOVA with Tukey’s test (two tailed) ***Tukey P < 0.001, **Tukey P < 0.01 and *Tukey P < 0.05. The asterisks in the middle and right heat maps indicate statistical significance after FDR correction: ***FDR P < 0.001, **FDR P < 0.01 and *FDR P < 0.05. The exact P values are reported in Supplementary Table 4. b, Module eigenprotein levels by case status for six of the most strongly FTLD-associated modules. Individual eigenprotein values are plotted in controls (N = 39) and mutation carriers, which were grouped by Sx and PreSx status (C9orf72: 24 PreSx, 23 Sx; GRN: 12 PreSx, 19 Sx; MAPT: 18 PreSx, 19 Sx). Red P values are statistically significant. Differences in module eigenprotein by case status were assessed by one-way ANOVA with Tukey’s test. Gene-specific P values represent the omnibus significance for gene-stratified comparisons versus controls, with significant effects displayed with red text. The box plots represent the median and 25th and 75th percentiles, and box hinges represent the interquartile range of the two middle quartiles within a group. Min and max data points define the extent of whiskers (error bars). C9, C9orf72; CTL, control.
Module and hub protein relationships with cognitive trajectory
The plots display the top five CSF genetic FTLD network modules most strongly associated with global cognitive trajectories in the full sample. Eigenprotein z scores are plotted against the annual rate of global cognitive change during the study period (n = 137). Person-specific cognitive slopes were extracted from linear mixed-effects models that included baseline demographics (age, sex and education) and time (years since baseline). Regression fit lines with 95% confidence intervals are plotted alongside Spearman’s ρ values and two-tailed P values. Information on the association between all network module eigenproteins and cognitive trajectory in the full sample, within each gene and within presymptomatic mutation carriers is provided in Supplementary Table 8. For proteins assigned to each module, an individual protein’s strength of connectivity to the module (x axis) is plotted against the individual protein’s correlation with global cognitive change (y axis). Proteins that exhibited stronger intramodular connectivity also exhibited stronger relationships with cognitive slope. Color-filled triangles represent individual proteins that survived FDR correction in two-tailed proteome-wide differential correlational analyses (n = 646 total proteins; full list in Supplementary Table 8). Proteins in the top 20th percentile of intramodular connectivity are classified as ‘hub’ proteins. Hub proteins that significantly correlated with cognitive trajectory are listed with each plot.
Cross-cohort validation
Validation cohorts included 4RTNI, composed of PSP and controls, and BioFINDER 2, composed of patients with FTLD clinical syndromes, biomarker-confirmed AD and controls. The 4RTNI CSF samples were assayed with SomaScan and BioFINDER CSF samples were assayed with Olink. a, WGCNA was applied to 4RTNI SomaScan data to test for module preservation across the genetic FTLD and sporadic PSP-RS networks. Modules that have a zzsummary score greater than or equal to 1.96 (or q =0.05, dotted blue line) are considered to be preserved, and modules that have a zsummary score greater than or equal to 10 (or q = 1 × 10⁻²³, dotted red line) are considered to be highly preserved. All modules in the genetic FTLD network were highly preserved in the sporadic PSP-RS network. b, Synthetic eigenproteins were reconstructed in 4RTNI and BioFINDER 2 to test for concordance in module relationships with disease groups. The heat map displays average synthetic eigenprotein z score differences between PSP-RS and controls (CTL), FTLD versus CTL, FTLD versus AD and AD versus CTL. The asterisks indicate statistical significance after pairwise two-sided t-test with FDR correction. ***FDR P < 0.001, **FDR P < 0.01 and *FDR P < 0.05. The exact P values are reported in Supplementary Tables 9 and 10. c,d, Synthetic eigenprotein box plots for key modules from 4RTNI (35 CTL and 30 PSP-RS) (c) and BioFINDER 2 (248 CTL, 58 AD and 29 FTLD) (d) analyses. Pairwise differences in module synthetic eigenproteins by case status were assessed by two-sided t-tests with FDR correction. The box plots represent the median and 25th and 75th percentiles, and box hinges represent the interquartile range of the two middle quartiles within a group. Min and max data points define the extent of whiskers (error bars).
Genetic FTLD CSF network module ORA with AD CSF networks
Module member ORA of the genetic FTLD CSF network with two CSF protein co-expression networks in AD. Top: a multiplatform network, obtained using SomaScan and TMT-MS (Dammer et al.²⁷). Bottom: a single platform network obtained using TMT-MS (Modeste et al.³⁰). The box values represent −log10(FDR) value for pairwise module overlap, determined using one-tailed Fisher’s exact test. Bolded AD network modules significantly differed between AD and controls. Modules from the AD networks (y-axis rows) without an overlap value of −log10(FDR) >1 are not included in the heat maps. ***FDR P < 0.005, **FDR P < 0.01 and *FDR P < 0.05. The exact P values are reported in Supplementary Table 12.
Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration

May 2025

·

129 Reads

·

5 Citations

Nature Aging

The pathophysiological mechanisms driving disease progression of frontotemporal lobar degeneration (FTLD) and corresponding biomarkers are not fully understood. Here we leveraged aptamer-based proteomics (>4,000 proteins) to identify dysregulated communities of co-expressed cerebrospinal fluid proteins in 116 adults carrying autosomal dominant FTLD mutations (C9orf72, GRN and MAPT) compared with 39 non-carrier controls. Network analysis identified 31 protein co-expression modules. Proteomic signatures of genetic FTLD clinical severity included increased abundance of RNA splicing (particularly in C9orf72 and GRN) and extracellular matrix (particularly in MAPT) modules, as well as decreased abundance of synaptic/neuronal and autophagy modules. The generalizability of genetic FTLD proteomic signatures was tested and confirmed in independent cohorts of (1) sporadic progressive supranuclear palsy-Richardson syndrome and (2) frontotemporal dementia spectrum clinical syndromes. Network-based proteomics hold promise for identifying replicable molecular pathways in adults living with FTLD. ‘Hub’ proteins driving co-expression of affected modules warrant further attention as candidate biomarkers and therapeutic targets.



Cerebrospinal fluid (CSF) biomarker levels across diagnostic groups. Fold increases in CSF levels of Lilly phosphorylated tau (p‐tau)217 (A), Lilly p‐tau181 (B), brain‐derived tau (BD‐tau, C), ALZpath p‐tau217 (D), and UGOT p‐tau181 (E) in patients with Alzheimer's disease (AD) and amyotrophic lateral sclerosis (ALS) and control participants. Several outliers (Lilly p‐tau217, n = 13; ALZpath p‐tau217, n = 17; Lilly p‐tau181, n = 5; BD‐tau, n = 3) are not shown but were included in the statistical analysis. p‐values, adjusted for multiple comparison using the Bonferroni test (three comparisons per individual biomarker), are from the analysis of variance with log‐transformed biomarkers as dependent variables and diagnosis as independent variable adjusting for age. (F) Receiver‐operating characteristic for differentiating ALS from AD. FC, fold change; LMW, low‐molecular‐weight; UGOT, University of Gothenburg.
Plasma biomarker levels across diagnostic groups. Fold increases in plasma levels of Lilly phospho‐tau (p‐tau)217 (A), Lilly p‐tau181 (B), brain‐derived tau (BD‐tau, C), ALZpath p‐tau217 (D), and UGOT p‐tau181 (E) in patients with Alzheimer's Disease (AD) and amyotrophic lateral sclerosis (ALS) and control participants. Several outliers (Lilly p‐tau217, n = 5; ALZpath p‐tau217, n = 47; Lilly p‐tau181, n = 2; UGOT p‐tau181, n = 18; BD‐tau, n = 2) are not shown but were included in the statistical analysis. p‐values, adjusted for multiple comparison using the Bonferroni method (three comparisons per individual biomarker), are from the analysis of variance with log‐transformed biomarkers as dependent variables and diagnosis as independent variable adjusting for age. (F) Receiver operating characteristic for differentiating ALS from AD. FC, fold change; LMW, low‐molecular weight; UGOT, University of Gothenburg.
A comparison of p‐tau assays for the specificity to detect tau changes in Alzheimer's disease

April 2025

·

93 Reads

INTRODUCTION We evaluated differences in p‐tau levels between Alzheimer's disease (AD), a condition with brain‐specific changes in p‐tau, and amyotrophic lateral sclerosis (ALS), a condition associated with increases in peripheral p‐tau levels. METHODS Cerebrospinal fluid and plasma from 668 participants were analyzed using immunoassays specific for the low‐molecular‐weight (LMW) tau isoforms present in the brain (i.e., p‐tau217Lilly, p‐tau181Lilly) and those that detect both LMW‐ and high‐molecular‐weight (HMW) tau expressed in the peripheral nervous system (i.e., p‐tau217AlzPath, p‐tau181UGOT). RESULTS Increases in plasma p‐tau in ALS versus controls were significantly smaller for the LMW‐specific p‐tau assays (15.9%–20.5%) compared with non‐specific assays (92.0%–121.3%). The LMW‐specific p‐tau assays showed significantly larger plasma p‐tau increases in AD versus ALS, discriminating AD from ALS with areas under the curve (AUCs; 0.890.93) higher than the AUCs of the non‐specific assays (0.54–0.74). DISCUSSION LMW‐specific p‐tau assays could be more useful in the diagnostic workup of AD, especially in population‐based communities where conditions causing peripheral neuropathy are frequent. Highlights Increases in plasma phosphorylated tau (p‐tau) in amyotrophic lateral sclerosis (ALS) versus controls were significantly smaller for low‐molecular‐weight (LMW)–specific p‐tau assays (i.e., p‐tau217Lilly, p‐tau181Lilly) compared with p‐tau assays that also detect high‐molecular‐weight (HMW) assays (i.e., p‐tau217AlzPath, p‐tau181UGOT). The LMW‐specific p‐tau assays showed significantly larger increases in plasma p‐tau in AD versus ALS compared with the non‐specific assays. The LMW‐specific p‐tau assays discriminated AD from ALS with higher precision, showing significantly better performance than the non‐specific assays. LMW‐specific p‐tau assays could be more useful in the diagnostic workup of AD, especially in population‐based communities where conditions causing peripheral neuropathy (such as ALS) are frequent.


Plasma Glial Fibrillary Acidic Protein and Neurofilament Light Are Elevated in Bipolar Depression: Evidence for Neuroprogression and Astrogliosis

April 2025

·

31 Reads

Bipolar Disorders

Background Recent advances now allow detection of brain‐specific proteins in blood, including neurofilament light chain (NfL), a marker of axonal pathology, and glial fibrillary acidic protein (GFAP), indicative of astrocytic activation. Given the evidence of astroglial pathology and neuronal dysfunction in bipolar disorder, and ongoing debates on neuroprogression, we investigated plasma NfL and GFAP levels in affected individuals. Methods This study analysed plasma NfL and GFAP measured in 216 individuals using Simoa. We used bootstrapped general linear models (GLM) to compare plasma NfL and GFAP levels between people with bipolar depression ( n = 120) and healthy controls ( n = 96), adjusting for age, sex, and weight. We examined associations between these biomarkers and clinical variables while adjusting for multiple comparisons. For sensitivity analyses, predictors were evaluated using Bayesian model averaging (BMA). Results Plasma GFAP ( β = 0.21 [0.07, 0.35], p = 0.006) and NfL ( β = 0.06 [0.01, 0.10], p = 0.028) were elevated in people with bipolar depression. Illness duration was positively associated with NfL ( r = 2.97, p = 0.002), and further supported by BMA analysis (posterior inclusion probability, PIP = 0.85). Age of onset was positively associated with GFAP ( r = 0.246 p = 0.041), which was also supported by BMA analysis (PIP = 0.67). Conclusions These findings indicate increased plasma NfL and GFAP levels in bipolar disorder. Our findings support the neuroprogression hypothesis, where prolonged illness duration contributes to neuroaxonal damage. Elevated GFAP in those with later onset suggests a role for neuroinflammation, potentially linked to increased cardiovascular and metabolic comorbidities.


Citations (26)


... The 16 significantly downregulated secretory factors were enriched in pathways associated with lipid particles, cytokine production, tubulin deacetylation, and secretory granule vesicles (Fig. 5C). To determine whether these pathways mimic changes occurring in cerebrospinal fluid (CSF) from MAPT patients, we examined publicly available aptamer-based proteomics data (SomaScan; 4,138 proteins) from 37 MAPT carriers and 39 controls [82]. Network analyses identified pathways enriched in the extracellular matrix, complement, adaptive immunity, autophagy, and synapse function, among others (Fig. 5D). ...

Reference:

Cell autonomous microglia defects in a stem cell model of frontotemporal dementia tau
Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration

Nature Aging

... A significant difference was observed only in the comparison between p-tau217 and NfL (DeLong's p = 0.018), while comparisons between p-tau181 and GFAP were not significant [33]. [34][35][36][37]39], whereas IP-MS combines antibody-based immunoprecipitation with targeted mass spectrometry to achieve high peptide specificity and analytical sensitivity [40]. The cost-effectiveness, feasibility, and practical implementation of these testing approaches, and head-to-head comparisons of their diagnostic accuracy should be assessed in future studies. ...

Plasma phospho-tau217 for Alzheimer’s disease diagnosis in primary and secondary care using a fully automated platform

Nature Medicine

... The heterogeneity in adaptive response slopes across individuals suggests that the relationship between VAChT and tau varies in healthy older adults at elevated risk of AD (Fig. 2e,f), hinting at the presence of biologically meaningful subgroups. To explore this possibility, we ranked individuals according to their adaptive response slopes (Fig. 2g) and assigned the top 25% to the resilient group (R), the middle 50% to the intermediate group (I), and the bottom 25% to the vulnerable group (V) 51 . Across the testing window, we found that the resilient group maintained their performance on the RBANS, whereas the vulnerable group exhibited a significant drop of ~1% per year (Fig. 2h). ...

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

Nature Medicine

... The specificity of these p-tau tests for the T category, however, has been challenged by the finding that plasma p-tau217 seems to correspond with cerebral Ab pathology in earlier stages and with combined amyloid and tau pathology in later stages (6). Another more recently introduced plasma biomarker, MTBR-tau243, showed stronger associations with tau PET than with plasma p-tau217 and, thus, may potentially represent a more suitable T marker (23). ...

Plasma MTBR-tau243 biomarker identifies tau tangle pathology in Alzheimer’s disease

Nature Medicine

... The best PET measures performed for the presence of beta-amyloid deposition in the brain showed a sensitivity of 88-91% and specificity of 80-84%. The best CSF measures for identifying patients with MCI and suspected AD (MCI-AD) were CSF measurement of Aβ42/total tau (t-tau) and Aβ42/hyperphosphorylated tau (p-tau) ratios, with a sensitivity of 94-97% and a specificity of 83-85% [13][14][15]. ...

Considerations in the clinical use of amyloid PET and CSF biomarkers for Alzheimer's disease

... Thus, this measure does not provide direct evidence of already manifest amyloid plaque aggregation but rather represents a momentary snapshot of a pathologic process contributing to the buildup of aggregated pathology. Recent studies confirm the notion that the Ab42/Ab40 ratio in CSF might better reflect brain levels of soluble Ab protofibrils than insoluble Ab fibrils in plaques in AD (5). ...

Soluble cerebral Aβ protofibrils link Aβ plaque pathology to changes in CSF Aβ42/Aβ40 ratios, neurofilament light and tau in Alzheimer’s disease model mice

Nature Aging

... Comparing the performance of NULISA with known high-performing biomarker assays, for example, for p-tau217, the high performance of the NULISA technology was demonstrated. 6 In addition to the classical amyloid, we publish a collection of papers examining the performance of the NULISA technology to detect processes of relevance to neurodegeneration, which hopefully will inspire the development and validation of targeted biomarker panels that in the future could be useful to neurologists and memory clinic specialists when they see their patients. ...

The Alzheimer's Association Global Biomarker Standardization Consortium (GBSC) plasma phospho‐tau Round Robin study

... Neuronal synucleinopathies, such as PD and dementia with DLB, are neurodegenerative disorders characterized by the abnormal accumulation of a-synuclein protein in neurons (97). PD primarily affects motor function, while DLB is associated with both cognitive decline and motor symptoms. ...

Toward a biological definition of neuronal and glial synucleinopathies
  • Citing Article
  • January 2025

Nature Medicine

... While mouse and cell models suggest that APOE ε4 independently promotes pTau accumulation, 56 human studies align with our findings, showing no effect on pTau pathology after accounting for Aβ. [57][58][59] However, since Braak NFT staging is a broad measure of pTau spread there is still a possibility that APOE ε4 is specifically associated with pTau burden in MTL regions, as suggested by some studies. 60 Additionally, we found no relationship between APOE ε4 and amygdala-predominant αSyn, which contrasts with previous studies reporting that APOE ε4 exacerbates αSyn pathology independently of Aβ. 61,62 This may be due to our more rigorous adjustment for Aβ lesions, or it could suggest that APOE ε4 primarily influences other variants of αSyn. ...

APOE4 impact on soluble and insoluble tau pathology is mostly influenced by amyloid-beta
  • Citing Article
  • January 2025

Brain

... 6 Later, accurate tau biomarker assays have been developed to detect tau variants in the blood that reflect Aβ and tau proteinopathies in the brain, 7 and a recent study has shown the same or even better diagnostic performance compared to clinically approved CSF tests. 8 The recent introduction of in vitro seed amplification assays (SAAs) detecting misfolded α-syn in CSF and other tissues contributed a second fundamental advance by providing a pathology-specific biomarker for LBD. 9 Here, we review the contributions these biomarkers have given to improve clinical characterization, diagnosis, and prognostic evaluation of patients with concurrent AD and LBD pathologies (AD-LBD). After briefly reviewing the molecular pathology and staging systems of AD and LBD, the basic principles behind SAAs and CSF biomarker changes in AD and LBD, and the results of anatomic-clinical correlations in neuropathological series, we will focus on the contributions these biomarkers have given to establishing prevalence, clinical phenotype, and longitudinal trajectories of patients with AD-LBD. ...

A highly accurate blood test for Alzheimer’s disease pathology has performance equivalent or superior to clinically used CSF tests