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Plasma Alzheimer's disease biomarker variability: Amyloid-independent and amyloid-dependent factors
Eun Hye Lee, Sung Hoon Kang, Daeun Shin, Young Ju Kim, Henrik Zetterberg, Kaj Blennow, Fernando Gonzalez-Ortiz, Nicholas J Ashton et al.. Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024-11-13
Topic: Plasma and spinal-fluid biomarkers
Aβ-independent factors included hemoglobin and estimated glomerular filtration rate (eGFR) for p-tau217 and hemoglobin, eGFR, and triiodothyronine (T3) for GFAP and NfL. Aβ-dependent factors included apolipoprotein E genotypes, body mass index status for Aβ42/40, p-tau217, GFAP, and NfL. However, these factors exhibited negligible or modest effects on Aβ positivity on PET. Our findings highlight the importance of accurately interpreting plasma biomarkers for predicting Aβ uptake in real-world settings. HIGHLIGHTS: We investigated factor-Alzheimer's disease plasma biomarker associations in a large Korean cohort. Hemoglobin and estimated glomerular filtration rate affect the biomarkers independently of brain amyloid beta (Aβ). Apolipoprotein E genotypes and body mass index status affect the biomarkers dependent on brain Aβ. Addition of Aβ-independent factors shows negligible effect in predicting Aβ positivity. Adjusting for Aβ-dependent factors shows a modest effect in predicting Aβ positivity.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Lee, E. H., Kang, S. H., Shin, D., Kim, Y. J., Zetterberg, H., Blennow, K., et al. (2025). Plasma Alzheimer's disease biomarker variability: Amyloid-independent and amyloid-dependent factors. Alzheimer's & dementia : the journal of the Alzheimer's Association. https://doi.org/10.1002/alz.14368
Vancouver
Lee EH, Kang SH, Shin D, Kim YJ, Zetterberg H, Blennow K, et al. Plasma Alzheimer's disease biomarker variability: Amyloid-independent and amyloid-dependent factors. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. doi:10.1002/alz.14368. PMID: 39535473.
BibTeX
@article{lee2025-39535473,
author = {Lee, Eun Hye and Kang, Sung Hoon and Shin, Daeun and Kim, Young Ju and Zetterberg, Henrik and Blennow, Kaj and Gonzalez-Ortiz, Fernando and Ashton, Nicholas J and others},
title = {{Plasma Alzheimer's disease biomarker variability: Amyloid-independent and amyloid-dependent factors}},
journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
year = {2025},
doi = {10.1002/alz.14368},
pmid = {39535473},
url = {https://doi.org/10.1002/alz.14368}
}
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Key findings
- Aβ-independent factors included hemoglobin and estimated glomerular filtration rate (eGFR) for p-tau217 and hemoglobin, eGFR, and triiodothyronine (T3) for GFAP and NfL.
- Aβ-dependent factors included apolipoprotein E genotypes, body mass index status for Aβ42/40, p-tau217, GFAP, and NfL.
- However, these factors exhibited negligible or modest effects on Aβ positivity on PET.
- Our findings highlight the importance of accurately interpreting plasma biomarkers for predicting Aβ uptake in real-world settings.
- HIGHLIGHTS: We investigated factor-Alzheimer's disease plasma biomarker associations in a large Korean cohort.
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Study details
- Participants2,935
- Evidence strengthModerate
How this study scored 61/100
Published in a leading specialty journal. Scored zero for study design, effect reported and randomized / 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, multicenter collaboration and free to read, so those were left out: it earned 34 of the 56 points we could judge it on, which is 61 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (Alzheimer's & dementia : the journal of the Alzheimer's Association) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 3 / 5 | Rated “moderate” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 3 / 4 | 2,935 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 | 2 / 2 | Indexed in PubMed (PMID 39535473) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 34 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 34 of the 56 points we could judge it on is 61 out of 100. |
| Total | 61 / 100 | — |
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