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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 37 out of 100. Genetics

Topic: Amyloid, tau and blood-test diagnosis

Abstract Mechanisms linking CD33 variants to Alzheimer Disease (AD) are poorly defined. Here, we combine structural, cellular, and genetic analyses to delineate how the CD33M splice isoform, upregulated in carriers of CD33 risk alleles, modulates microglial function. We show that CD33M ectodomain dimerizes, enabling binding of large multi-sialylated molecules. We demonstrate that another AD risk protein - clusterin (CLU) ± Aβ oligomers (but not ApoE) binds with nanomolar avidity to CD33M, but not CD33m. We show that in human monocytes CD33M:CLU binding induces CD33M ITIM phosphorylation, recruits SHP-1, suppresses Aβ phagocytosis, and impairs clearance of amyloid plaques. We identify a soluble CD33M ectodomain fragment (sCD33M) - absent from CD33m-expressing cells - which could contribute to the role of CD33M in AD. Genetic analyses confirm that CD33:CLU interaction modulates amyloid burden, cognition, and disease risk. These findings define a mechanistic CLU:Aβ:CD33M axis, highlighting CD33M dimerization and ligand-binding sites as potential therapeutic targets.

Key findings

Why it matters

This laboratory work describes a mechanistic CLU:Aβ:CD33M axis and identifies CD33M dimerization and ligand-binding sites as potential therapeutic targets. These are structural, cellular, and genetic findings, and no treatment has been tested in patients.

Study details

How this study scored 37/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record left out, no data; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 5 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 1 of 7; Citations per year 0 of 5; Impact for its field and year 3 of 6; Cited by studies here 0 of 6; Still being cited 0 of 4; Senior author's track record 4 of 4; Institution's track record left out, no data; Multi-centre collaboration 0 of 3; Indexed in PubMed 1 of 2; Free to read 2 of 2. 34 of the 93 points it could be judged on, which is 37 of 100. Total 37 of 100.34 of the 93 points we could judge = 37 of 100

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on journal's citation record and institution's track record, so those were left out: it earned 34 of the 93 points we could judge it on, which is 37 out of 100.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (DOAJ (DOAJ: Directory of Open Access Journals))
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 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 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 1 / 7 Cited 1 times (OpenAlex, 2026-10-10)
Citations per year 0 / 5 0.5 citations a year over 2 year(s) since 2026
Impact for its field and year 3 / 6 Cited 4.2× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited 0 / 4 Cited 1 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 4 / 4 Last-listed author Peter St George‐Hyslop: h-index 121 (OpenAlex, whole career)
Institution's track record — / 3 No institution listed in OpenAlex — left out of this score
Multi-centre collaboration 0 / 3 OpenAlex lists 0 institution(s) in 0 countries — scores zero (affiliation lists can be incomplete)
Indexed in PubMed 1 / 2 Not in PubMed, but has a DOI
Free to read 2 / 2 Free to read
Points 34 / 93 Scored on 18 of 20 parts. We have no data for the rest, so they are left out: 34 of the 93 points we could judge it on is 37 out of 100.
Total 37 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Dodd, R. B., Enomoto, M., Zhou, Y., Satoh, K., Zhang, Y., Chen, F., et al. (2026). CD33 and clusterin interact biophysically and genetically to modulate Alzheimer risk. DOAJ (DOAJ: Directory of Open Access Journals). https://doi.org/10.1038/s41467-026-75140-3

Vancouver

Dodd RB, Enomoto M, Zhou Y, Satoh K, Zhang Y, Chen F, et al. CD33 and clusterin interact biophysically and genetically to modulate Alzheimer risk. DOAJ (DOAJ: Directory of Open Access Journals). 2026. doi:10.1038/s41467-026-75140-3.

BibTeX

@article{dodd2026-c8ae3fc8,
  author  = {Dodd, Roger B. and Enomoto, Masahiro and Zhou, Ye and Satoh, Kanayo and Zhang, Yalun and Chen, Fusheng and Acheson, Beatrice and Ghaffari, Deniz and others},
  title   = {{CD33 and clusterin interact biophysically and genetically to modulate Alzheimer risk}},
  journal = {DOAJ (DOAJ: Directory of Open Access Journals)},
  year    = {2026},
  doi     = {10.1038/s41467-026-75140-3},
  url     = {https://doi.org/10.1038/s41467-026-75140-3}
}

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