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Record W4412800180 · doi:10.1101/2025.07.29.667318

CD33 and clusterin interact biophysically and genetically to modulate Alzheimer risk

2025· preprint· en· W4412800180 on OpenAlexafffund
Roger B. Dodd, Masahiro Enomoto, Ye Zhou, Kanayo Satoh, Yalun Zhang, Fusheng Chen, Beatrice Acheson, Deniz Ghaffari, Elizabeth Sayn-Wittgenstein, George V. Dukas, Ronak Patel, Alondra Schweizer Burguete, Mason J. Kralovec, Mamunur Rashid, Jennifer L. Hall, Kirstin A. Tamucci, Zena K. Chatila, Minghua Liu, Annie Lee, Badri N. Vardarajan, Sirkku Pollari, Cory D. Rillahan, Andrey A. Bobkov, Eduard Sergienko, William Meadows, Seema Qamar, Suzanne J. Randle, Christopher M. Johnson, Jean Sévalle, Jennifer K. Griffin, Christopher Böhm, Mitsuhiko Ikura, Xunde Xian, Joachim Herz, Jennifer West, Sandeep Satapathy, Mark R. Wilson, Jonathan A. Javitch, Paul Fraser, David A. Bennett, Philip L. De Jager, Zvi Fishelson, Dan Frenkel, Wesley B. Asher, Elizabeth M. Bradshaw, Peter St George‐Hyslop

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldMedicine
TopicClusterin in disease pathology
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
FundersCanadian Institutes of Health ResearchWellcome TrustNational Institutes of HealthAlzheimer's Association
KeywordsClusterinNeuroscienceBiologyGenetics

Abstract

fetched live from OpenAlex

ABSTRACT We report the results of structural, functional and genetic studies on the CD33 sialic acid- binding receptor that reveal how non-coding variants in CD33 alter risk for Alzheimer’s disease (AD). The full-length CD33 M isoform, whose expression is upregulated by non-coding AD-risk alleles, preferentially forms dimers at the cell surface, where they interact with AD-related proteins (clusterin and Aβ). This interaction induces CD33 M inhibitory signalling and downregulates protective microglial functions including phagocytic removal of amyloid plaques. Human brain expression quantitative trait loci (eQTL) and causal mediation analyses confirm that quantitative interactions between CLU and CD33 genotypes modulate AD phenotypes and suggest that genotypes at these loci might be used to personalise future therapeutic approaches. Our work also highlights several other unexpected aspects of CD33 biology, including a soluble shed extracellular fragment of CD33 M and a similar soluble secreted product arising from a truncating mutation in the CD33 extracellular domain (CD33 MΔ4bp ).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.264
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes2
Has abstractyes

Explore more

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