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CSF and plasma tau biomarkers in the Down syndrome-Alzheimer's disease continuum
Javier Arranz, Juan Lantero-Rodríguez, Luisa Sophie Braun-Wohlfahrt, Lídia Vaqué-Alcázar, Íñigo Rodríguez-Baz, Przemysław R Kac, Burak Arslan, Lucía Maure-Blesa et al.. EBioMedicine, 2026-07-11
Topic: Plasma and spinal-fluid biomarkers
We analysed 461 participants from the DABNI and SPIN cohorts. Both CSF and plasma tau biomarkers increased during the asymptomatic stages of DS and in euploid controls, coinciding with Aβ positivity; across the DS clinical spectrum the largest increases were observed for CSF NTA-tau (fold-change [fc] = 6.46-6.94), CSF p-tau217 (fc = 6.43-6.74) and plasma p-tau217 (fc = 4.63-6.54) (linear regression adjusted for age, sex and APOE-ε4 with Tukey post-hoc tests; all p < 0.001). During the dementia stages, CSF tau biomarkers showed only modest further increases (no CSF biomarker differed between pDS and dDS; all p ≥ 0.268), whereas plasma tau biomarkers retained a broader dynamic range across symptomatic phases (pDS vs dDS: plasma p-tau217 p = 0.001, p-tau181 p = 0.002, p-tau231 p = 0.004). Plasma p-tau217 showed the highest diagnostic accuracy, with areas under the curve (AUC) of 0.91-0.97 for biological categorisations and numerically higher values than CSF in symptomatic stages (pDS vs dDS: plasma p-tau217 AUC = 0.69 [95% CI 0.58-0.80] vs CSF p-tau217 AUC = 0.53 [95% CI 0.41-0.65]; DeLong test p = 0.019). In LOESS analyses, tau biomarkers diverged from age-matched controls in the late 30s to early 40s (e.g., plasma p-tau217 ≈ 37.3 years, CSF p-tau181 ≈ 38.1 years) and reached abnormality (+2 SD) over an approximately 20-year span between the fourth and sixth decades, outlining differential but temporally compressed increases. Finally, during symptomatic stages, tau biomarker levels remained stable in DS-AD, in contrast to sporadic AD, where levels declined with advancing age. These findings highlight the complementary roles of CSF and plasma tau biomarkers in tracking disease progression: CSF biomarkers capture early pathological changes, whereas plasma biomarkers more effectively reflect disease progression within symptomatic stages. Furthermore, tau biomarkers might support disease staging and monitor clinical progression in DS-AD, but with the need to adapt biomarker frameworks to this specific population. FUNDING: La Caixa Foundation, Instituto de Salud Carlos III, Generalitat de Catalunya, National Institute on Ageing, Wellcome Trust, Jérôme Lejeune Foundation, Medical Research Council, Alzheimer's Association, National Institute for Health Research, EU Joint Programme-Neurodegenerative Disease Research, Alzheimer's Society.
Key findings
- We analysed 461 participants from the DABNI and SPIN cohorts.
- Both CSF and plasma tau biomarkers increased during the asymptomatic stages of DS and in euploid controls, coinciding with Aβ positivity; across the DS clinical spectrum the largest increases were observed for CSF NTA-tau (fold-change [fc] = 6.46-6.94), CSF p-tau217 (fc = 6.43-6.74) and plasma p-tau217 (fc = 4.63-6.54) (linear regression adjusted for age, sex and APOE-ε4 with Tukey post-hoc tests; all p < 0.001).
- During the dementia stages, CSF tau biomarkers showed only modest further increases (no CSF biomarker differed between pDS and dDS; all p ≥ 0.268), whereas plasma tau biomarkers retained a broader dynamic range across symptomatic phases (pDS vs dDS: plasma p-tau217 p = 0.001, p-tau181 p = 0.002, p-tau231 p = 0.004).
- Plasma p-tau217 showed the highest diagnostic accuracy, with areas under the curve (AUC) of 0.91-0.97 for biological categorisations and numerically higher values than CSF in symptomatic stages (pDS vs dDS: plasma p-tau217 AUC = 0.69 [95% CI 0.58-0.80] vs CSF p-tau217 AUC = 0.53 [95% CI 0.41-0.65]; DeLong test p = 0.019).
- In LOESS analyses, tau biomarkers diverged from age-matched controls in the late 30s to early 40s (e.g., plasma p-tau217 ≈ 37.3 years, CSF p-tau181 ≈ 38.1 years) and reached abnormality (+2 SD) over an approximately 20-year span between the fourth and sixth decades, outlining differential but temporally compressed increases.
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Study details
- Study designcross-sectional
- Participants461
- Effect sizeAUC = 0.69; AUC = 0.53
- Evidence strengthLow
How this study scored 66/100
Published in a peer-reviewed journal, and it is a snapshot of people at one point in time. Scored zero for randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multi-centre collaboration and free to read, so those were left out: it earned 37 of the 56 points we could judge it on, which is 66 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (EBioMedicine) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 4 / 12 | A snapshot of people at one point in time |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 5 / 5 | 2026 — within 1 year(s) of the newest study here |
| Sample size | 2 / 4 | 461 participants |
| Effect reported | 3 / 3 | Effect reported with a statistic (interval, p-value, ratio or similar) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 42435584) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 37 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 37 of the 56 points we could judge it on is 66 out of 100. |
| Total | 66 / 100 | — |
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APA 7th
Arranz, J., Lantero-Rodríguez, J., Braun-Wohlfahrt, L. S., Vaqué-Alcázar, L., Rodríguez-Baz, Í., Kac, P. R., et al. (2026). CSF and plasma tau biomarkers in the Down syndrome-Alzheimer's disease continuum. EBioMedicine. https://doi.org/10.1016/j.ebiom.2026.106370
Vancouver
Arranz J, Lantero-Rodríguez J, Braun-Wohlfahrt LS, Vaqué-Alcázar L, Rodríguez-Baz Í, Kac PR, et al. CSF and plasma tau biomarkers in the Down syndrome-Alzheimer's disease continuum. EBioMedicine. 2026. doi:10.1016/j.ebiom.2026.106370. PMID: 42435584.
BibTeX
@article{arranz2026-42435584,
author = {Arranz, Javier and Lantero-Rodríguez, Juan and Braun-Wohlfahrt, Luisa Sophie and Vaqué-Alcázar, Lídia and Rodríguez-Baz, Íñigo and Kac, Przemysław R and Arslan, Burak and Maure-Blesa, Lucía and others},
title = {{CSF and plasma tau biomarkers in the Down syndrome-Alzheimer's disease continuum}},
journal = {EBioMedicine},
year = {2026},
doi = {10.1016/j.ebiom.2026.106370},
pmid = {42435584},
url = {https://doi.org/10.1016/j.ebiom.2026.106370}
}