{
  "abstract": "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.",
  "abstract_shown": true,
  "affiliations": [
    "UK Dementia Research Institute at the University of Edinburgh"
  ],
  "article_type": "PUBLISHAHEADOFPRINT",
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "name": "M. Steinruecke"
    },
    {
      "name": "J. K. Baillie"
    },
    {
      "affs": [
        0
      ],
      "name": "Z. Jiwaji"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dmrspkkkwmaet.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.09.21.26362150",
  "fulltext_url": "https://www.medrxiv.org/content/10.64898/2026.09.21.26362150v1.full",
  "id": "dmrspkkkwmaet",
  "issns": [],
  "landing_url": "https://www.medrxiv.org/content/10.64898/2026.09.21.26362150v1",
  "language": null,
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "medrxiv",
      "genetic and genomic medicine"
    ],
    [
      "openalex",
      "2737|Alzheimer's disease research and treatments"
    ]
  ],
  "openalex": "W7214108114",
  "pdf_url": "https://www.medrxiv.org/content/10.64898/2026.09.21.26362150v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-21",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/dmrspkkkwmaet.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:14Z",
      "native_id": "10.64898/2026.09.21.26362150",
      "source": "medrxiv",
      "url": "https://www.medrxiv.org/content/10.64898/2026.09.21.26362150v1"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "medrxiv:genetic and genomic medicine",
      "subfield": "human-genetics"
    }
  ],
  "title": "Integrated genomic meta-analysis identifies cell-type-specific signatures and targets in early Alzheimer's disease",
  "title_text": "Integrated genomic meta-analysis identifies cell-type-specific signatures and targets in early Alzheimer's disease",
  "type": "preprint",
  "updated_at": "2026-10-30T12:19:14Z",
  "url": "https://research.draconitic.com/paper/dmrspkkkwmaet",
  "venue": "medRxiv",
  "versions": []
}