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Mapping Amyloid-PET Uptake in the White Matter in Alzheimer’s Disease
Harput E, Boccalini C, Scheffler M, Lovblad K, Ashton NJ, Zetterberg H, Hansson O, Lalive HM et al.. Research Square, 2026-08-07
Topic: Plasma and spinal-fluid biomarkers
Plain-language summary
This study investigated whether WM measures derived from amyloid-PET are associated with AD biomarkers and to determine whether they offer added diagnostic and prognostic value beyond established biomarkers. Results No significant associations were found between NAWM, WMH SUVR and AD-specific biomarkers. However, WMH SUVR was positively associated with MMSE (P = 0.0001) and NAWM SUVR was negatively associated with TLV (P = 0.005) and with NfL (P = 0.001). Lower NAWM SUVR was associated with higher lobar (P = 0.025) and non-lobar CMB (P = 0.016). In models predicting annual cognitive decline in the tau subsample adding NAWM SUVR to models including amyloid and tau improved model fit significantly (P = 0.044). Conclusion Results suggest that amyloid-PET uptake in WMH and NAWM reflects myelin integrity and that NAWM SUVR may capture early disease-related changes, while WMH SUVR may suggest damage linked to baseline cognition.
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APA 7th
Harput, E., Boccalini, C., Scheffler, M., Lovblad, K., Ashton, N. J., Zetterberg, H., et al. (2026). Mapping Amyloid-PET Uptake in the White Matter in Alzheimer’s Disease. Research Square. https://doi.org/10.21203/rs.3.rs-10277565/v1
Vancouver
Harput E, Boccalini C, Scheffler M, Lovblad K, Ashton NJ, Zetterberg H, et al. Mapping Amyloid-PET Uptake in the White Matter in Alzheimer’s Disease. Research Square. 2026. doi:10.21203/rs.3.rs-10277565/v1.
BibTeX
@article{harput2026-7b7b99fe,
author = {Harput, E. and Boccalini, C. and Scheffler, M. and Lovblad, K. and Ashton, N. J. and Zetterberg, H. and Hansson, O. and Lalive, H. M. and others},
title = {{Mapping Amyloid-PET Uptake in the White Matter in Alzheimer’s Disease}},
journal = {Research Square},
year = {2026},
doi = {10.21203/rs.3.rs-10277565/v1},
url = {https://doi.org/10.21203/rs.3.rs-10277565/v1}
}
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Key findings
- This study investigated whether WM measures derived from amyloid-PET are associated with AD biomarkers and to determine whether they offer added diagnostic and prognostic value beyond established biomarkers.
- Results No significant associations were found between NAWM, WMH SUVR and AD-specific biomarkers.
- However, WMH SUVR was positively associated with MMSE (P = 0.0001) and NAWM SUVR was negatively associated with TLV (P = 0.005) and with NfL (P = 0.001).
- Lower NAWM SUVR was associated with higher lobar (P = 0.025) and non-lobar CMB (P = 0.016).
- In models predicting annual cognitive decline in the tau subsample adding NAWM SUVR to models including amyloid and tau improved model fit significantly (P = 0.044).
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Study details
- Participants320
- Evidence strengthLow
How this study scored 16/100
Preprint — not yet peer-reviewed. It scored 32 on the same rubric, but non-peer-reviewed sources are capped at 16, so it shows as 16. Scored zero for study design, effect reported and randomized / blinded because the record does not state it. We have no data on 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 and multicenter collaboration, so those were left out: it earned 20 of the 62 points we could judge it on, which is 32 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 2 / 10 | Tier 4 — not a peer-reviewed journal (Research Square) |
| Journal's citation record | 0 / 4 | Not a journal article, so the journal's record does not count |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 4 / 10 | Preprint — not yet peer-reviewed. Hosted on a preprint server. |
| How recent | 5 / 5 | 2026 — within 1 year(s) of the newest study here |
| Sample size | 2 / 4 | 320 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomized / blinded | 0 / 2 | No randomization 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 |
| Multicenter collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 1 / 2 | Not in PubMed, but has a DOI |
| Free to read | 2 / 2 | Free to read |
| Points | 20 / 62 | Scored on 12 of 20 parts. We have no data for the rest, so they are left out: 20 of the 62 points we could judge it on is 32 out of 100. |
| Total | 32 / 100 | Capped to 16 because this is not a peer-reviewed article. |
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