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. 2025 May:115:105694.
doi: 10.1016/j.ebiom.2025.105694. Epub 2025 Apr 15.

Dissection of blood-brain barrier dysfunction through CSF PDGFRβ and amyloid, tau, neuroinflammation, and synaptic CSF biomarkers in neurodegenerative disorders

Affiliations

Dissection of blood-brain barrier dysfunction through CSF PDGFRβ and amyloid, tau, neuroinflammation, and synaptic CSF biomarkers in neurodegenerative disorders

Agathe Vrillon et al. EBioMedicine. 2025 May.

Abstract

Background: Blood-brain barrier (BBB) dysfunction is an early event in neurodegenerative disorders. Pericytes are key cells for BBB maintenance. Upon pericyte injury, the platelet-derived growth factor receptor-β (PDGFRβ) is released in the cerebrospinal fluid (CSF). The relation of CSF PDGFRβ with markers of amyloid pathology, neuroinflammation, and axonal and synaptic damage across dementia remains unclear.

Methods: Retrospectively, we quantified CSF PDGFRβ and CSF core Alzheimer's disease (AD), astrocytic (GFAP), microglial (sTREM 2, YKL-40), axonal (NfL), and synaptic (GAP-43, neurogranin) biomarkers in 210 patients from the Cognitive Neurology Centre, Paris, France, including n = 23 neurological controls (NC), n = 84 patients with mild cognitive impairment (MCI) [AD, n = 41; non-AD, n = 43], and n = 103 patients with dementia (AD, n = 73; non-AD, n = 30).

Findings: Comparing clinical stages, CSF PDGFRβ levels were increased at the MCI stage (Cohen's d = 0.55 [CI95% 0.066, 1.0], P = 0.025) compared with NC. Non-AD MCI displayed higher levels than controls (Cohen's d = 0.74 [CI95% 0.22, 1.3], P = 0.042). No association was observed with CSF Aβ42/Aβ40 ratio but with p-tau 181 (β = 0.102 [CI95% 0.027, 0.176], P = 0.0080) and t-tau levels (β = 0.133 [0.054, 0.213], P = 0.0010). CSF PDGFRβ levels were positively associated with CSF neuroinflammation and synaptic markers levels. Higher CSF PDGFRβ levels were associated with lower MMSE scores at MCI (β = -1.23 [CI95% -2.33, -0.260], P = 0.015) and dementia stages (β = -2.24 [CI95% -3.62, -0.85], P = 0.0020). CSF neuroinflammation biomarkers mediated the association of CSF PDGFRβ with neurodegeneration and synaptic integrity markers.

Interpretation: CSF PDGFRβ, a candidate biomarker of BBB dysfunction, is increased in the early stages of neurodegenerative disorders, in association with neuroinflammation and axonal and synaptic damage.

Funding: Association des Anciens Internes des Hôpitaux de Paris, Edmond de Rothschild Program, Fondation Vaincre Alzheimer, Demensförbundet, Gamla Tjänarinnor, Anna-Lisa och Bror Björnssons Stiftelse.

Keywords: Alzheimer's disease; Brain blood barrier; CSF biomarkers; Neurodegenerative disorders; Neuroinflammation; PDGFRβ.

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Conflict of interest statement

Declaration of interests ML has participated in an educational program for Eisai, unrelated to this work. HZ has served on scientific advisory boards for Alector, Eisai, Denali, Roche Diagnostics, Wave, Samumed, Siemens Healthineers, Pinteon Therapeutics, Nervgen, AZTherapies, and CogRx, has given lectures in symposia sponsored by Cellectricon, Fujirebio, Alzecure and Biogen, and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program (outside submitted work), all unrelated to this work. TKK was supported by the NIH (R01 AG083874, U24 AG082930) and the Alzheimer's Association (#AARF-21-850325) and has received honoraria from the University of Wisconsin Madison and the University of Pennsylvania and has an awarded patent (#WO2020193500A1), all unrelated to this work. KB has served as a consultant and on advisory boards for Acumen, ALZPath, BioArctic, Biogen, Eisai, Lilly, and Moleac Pte. Ltd, Novartis, Ono Pharma, Prothena, Roche Diagnostics, and Siemens Healthineers; has served on data monitoring committees for Julius Clinical and Novartis; has given lectures, produced educational materials, and participated in educational programs for AC Immune, Biogen, Celdara Medical, Eisai and Roche Diagnostics; and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program (outside submitted work), all unrelated to this work. CP is a member of the International Advisory Boards of Lilly; is a consultant for Fujirebio, Alzhois, Neuroimmune, Ads Neuroscience, Roche, AgenT, and Gilead; and is involved as an investigator in several clinical trials for Roche, Esai, Lilly, Biogen, Astra-Zeneca, Lundbeck, and Neuroimmune, all unrelated to this work.

Figures

Fig. 1
Fig. 1
Association of CSF PDGFRβ and Q-Alb with clinical syndromes and diagnosis. a, CSF PDGFRβ levels across syndrome groups; b, CSF PDGFRβ levels across diagnosis groups; c, Q-Alb levels across syndrome groups; d, Q-Alb levels across diagnosis groups. P-values were obtained through one-way ANCOVA adjusting for age, sex, and levels of education, followed by post hoc Tukey's test, adjusting for multiple comparisons (n = 210). Significant differences (P < 0.05) are reported. Box and whiskers plots with the central line denoting the median value and the box containing the 25th to 75th percentile values. Association of CSF PDGFRβ with Q-Alb, e, in the whole sample; f, neurological controls; g, MCI; and h, dementia group. The association between biomarkers was studied using linear regression, adjusting for age and sex (n = 207). Individual points and the regression line are displayed with a shaded area above and below the line, representing the upper and lower bounds of the 95% confidence interval. Results are presented as unstandardised β (95% confidence interval) and P-values.
Fig. 2
Fig. 2
Association of CSF PDGFRβ with CSF AD biomarkers. a, CSF PDGFRβ levels across AT(N) groups, compared using one-way ANCOVA adjusting for age and sex (n = 210). Box and whiskers plots with the central line denoting the median value and the box containing the 25th to 75th percentile values. b-e, Association of CSF PDGFRβ with core AD biomarkers, including b, CSF Aβ42; c, CSF Aβ40; d, CSF Aβ42/Aβ40; e, CSF p-tau 181; and f, CSF t-tau. The association between biomarkers was studied using linear regression, adjusting for age and sex (n = 210). Individual points and the regression line are displayed with a shaded area above and below the line, representing the upper and lower bounds of the 95% confidence interval. Results are presented as unstandardised β (95% confidence interval) and P-values.
Fig. 3
Fig. 3
Association with axonal, synaptic, and neuroinflammation CSF markers. a-d Association of CSF PDGFRβ with CSF GFAP: a, in the whole cohort; b, in the NC group; c, in the MCI group; d, in the dementia group. e-h Association of CSF PDGFRβ with CSF sTREM 2: e, in the whole cohort; f, in the NC group; g, in the MCI group; h, in the dementia group. i-l Association of CSF PDGFRβ with CSF YKL-40: i, in the whole cohort; j, in the NC group; k, in the MCI group; l, in the dementia group. m-p Association of CSF PDGFRβ with CSF NfL: m, in the whole cohort; n, in the NC group; o, in the MCI group; p, in the dementia group. q-t Association of CSF PDGFRβ with CSF neurogranin: q, in the whole cohort; r, in the NC group; s, in the MCI group; t, in the dementia group. u-x Association of CSF PDGFRβ with CSF GAP-43: u, in the whole cohort; v, in the NC group; w, in the MCI group; x, in the dementia group. Linear regressions adjusting on age, sex, and CSF Aβ42/40 ratio (n = 210). Individual points and the regression line are displayed with a shaded area above and below the line, representing the upper and lower bounds of the 95% confidence interval. Results are shown as unstandardised β estimate (95% confidence interval), P-value.
Fig. 4
Fig. 4
Mediation analysis of the effect of PDGFRβ on neurodegeneration and synaptic integrity. Mediation analysis exploring: a, CSF YKL-40 as a mediator of the relationship between CSF PDGFRβ and CSF t-tau; b, CSF sTREM 2 as a mediator of the relationship between CSF PDGFRβ and CSF t-tau; c, CSF YKL-40 as a mediator of the relationship between CSF PDGFRβ and CSF GAP-43; d, CSF sTREM2 as a mediator of the relationship between CSF PDGFRβ and CSF GAP-43. Mediation effects are reported as the unstandardised estimate β (95% CI), percentage of the total effect for n = 210. Age, sex and APOE4 status were added as covariates.

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