Integrated genomic meta-analysis identifies cell-type-specific signatures and targets in early Alzheimer's disease
Steinruecke, M.; Baillie, J. K.; Jiwaji, Z.. medRxiv (preprint), 2026-09-23
Topic: Amyloid, tau and blood-test diagnosis
Cellular mechanisms in early Alzheimers disease (AD) remain poorly understood despite generation of extensive observational multiomic data. Weighted integration across diverse datasets can prioritise convergent mechanisms and targets. We conducted a systematic review to identify datasets profiling cell-type-specific changes in early AD. We integrated multiomic findings using Meta-Analysis by Information Content (MAIC), a computational method which combines genomic data from diverse experimental sources. Electron transport chain dysfunction in mitochondria emerged as a shared pathway in neurons, microglia, and astrocytes, and Wnt signalling was a prominent astrocyte-specific signature. Pathological neuro-glial signalling mechanisms included APP-CD74, APOE-SORL1, and WNT-FZD/LRP6. Integration with pharmacological data identified therapeutics already under investigation in AD, such as guanfacine, and candidates not previously prioritised, such as eltrombopag and encorafenib. We present a systematic analysis of cell-type-specific changes in early AD to prioritise pathways for investigation and therapeutics for repurposing.
Key findings
- We integrated multiomic findings using Meta-Analysis by Information Content (MAIC), a computational method which combines genomic data from diverse experimental sources.
- Electron transport chain dysfunction in mitochondria emerged as a shared pathway in neurons, microglia, and astrocytes, and Wnt signalling was a prominent astrocyte-specific signature.
- Pathological neuro-glial signalling mechanisms included APP-CD74, APOE-SORL1, and WNT-FZD/LRP6.
- Integration with pharmacological data identified therapeutics already under investigation in AD, such as guanfacine, and candidates not previously prioritised, such as eltrombopag and encorafenib.
- We present a systematic analysis of cell-type-specific changes in early AD to prioritise pathways for investigation and therapeutics for repurposing.
Why it matters
This analysis of existing genomic data pointed to mitochondrial electron transport chain dysfunction and Wnt signalling as shared pathways in early Alzheimer's disease across several brain cell types. It also identified existing drugs like guanfacine and new candidates like eltrombopag and encorafenib that could be investigated further, but no treatments were tested in patients.
New to this subject? Start with our plain-English guide: Genetics →
Study details
- Study designsystematic review
- Evidence strengthHigh
How this study scored 16/100
Preprint — not yet peer-reviewed. It scored 39 on the same rubric, but non-peer-reviewed sources are capped at 16, so it shows as 16. Scored zero for sample size, effect reported and studied in people because the record does not state it. We have no data on impact for its field and year, so that was left out: it earned 37 of the 94 points we could judge it on, which is 39 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 2 / 10 | Tier 4 — not a peer-reviewed journal (medRxiv (preprint)) |
| Journal's citation record | 0 / 4 | Not a journal article, so the journal's record does not count |
| Study design | 12 / 12 | A systematic review of all the studies on the question |
| Strength of evidence | 5 / 5 | Rated “high” 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 | 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 | A review of other studies — randomisation is not credited here |
| Times cited | 0 / 7 | Cited 0 times (OpenAlex, 2026-10-10) |
| Citations per year | 0 / 5 | 0.0 citations a year over 2 year(s) since 2026 |
| 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 | 0 / 6 | No other study in this library cites it |
| Still being cited | 0 / 4 | Cited 0 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 1 / 4 | Last-listed author Zoeb Jiwaji: h-index 9 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | University of Cambridge: institution h-index 1,973 (OpenAlex) |
| Multi-centre collaboration | 3 / 3 | OpenAlex lists 10 institution(s) in 1 country |
| Indexed in PubMed | 1 / 2 | Not in PubMed, but has a DOI |
| Free to read | 2 / 2 | Free to read |
| Points | 37 / 94 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 37 of the 94 points we could judge it on is 39 out of 100. |
| Total | 39 / 100 | Capped to 16 because this is not a peer-reviewed article. |
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. Check the citation against the original before you use it.
APA 7th
Steinruecke, M., Baillie, J. K., & Jiwaji, Z. (2026). Integrated genomic meta-analysis identifies cell-type-specific signatures and targets in early Alzheimer's disease. medRxiv (preprint). https://doi.org/10.64898/2026.09.21.26362150
Vancouver
Steinruecke M, Baillie JK, Jiwaji Z. Integrated genomic meta-analysis identifies cell-type-specific signatures and targets in early Alzheimer's disease. medRxiv (preprint). 2026. doi:10.64898/2026.09.21.26362150.
BibTeX
@article{steinruecke2026-b4f40344,
author = {Steinruecke, M. and Baillie, J. K. and Jiwaji, Z.},
title = {{Integrated genomic meta-analysis identifies cell-type-specific signatures and targets in early Alzheimer's disease}},
journal = {medRxiv (preprint)},
year = {2026},
doi = {10.64898/2026.09.21.26362150},
url = {https://doi.org/10.64898/2026.09.21.26362150}
}