{
  "abstract": "The growing landscape of Alzheimer's disease (AD) datasets creates opportunities to integrate heterogeneous evidence and systematically discover disease effectors. We present BRIDGE-AD, an interpretable network medicine framework that transforms multimodal data into a unified, disease-specific gene representation for AD effector prioritisation. We integrated more than 30 datasets and curated resources spanning omics, functional, genetic and prior disease knowledge layers. BRIDGE-AD outperformed recently published pretrained and modality-specific gene embeddings in recovering AD-associated genes and produced a genome-wide resource of candidate AD effectors. Established and newly prioritised effectors formed 19 functional clusters, revealing a global molecular landscape of AD biology. BRIDGE-AD supported an SPP1-centred cross-compartment hypothesis and nominated SCARB2, a poorly characterised candidate, for functional validation. SCARB2 rewired lysosomal, lipid-handling and autophagic programmes in microglia, whereas disrupted SCARB2 glycosylation in AD implicated altered SCARB2 processing and function. The accompanying website, https://explore-bridgead.com, enables users to trace the curated evidence and generate mechanistic hypotheses.",
  "abstract_shown": true,
  "affiliations": [
    "University of Cambridge"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 13,
  "authors": [
    {
      "name": "J. Cerneckis"
    },
    {
      "name": "G. Baltusyte"
    },
    {
      "name": "H. Convey"
    },
    {
      "name": "G. Sun"
    },
    {
      "name": "Z. C. E. Abela"
    },
    {
      "name": "M. Ramirez"
    },
    {
      "name": "D. Wang"
    },
    {
      "name": "G. Sun"
    },
    {
      "name": "T. Zhou"
    },
    {
      "name": "D. Spring"
    },
    {
      "name": "K. Saeb-Parsy"
    },
    {
      "affs": [
        0
      ],
      "name": "N. Han"
    },
    {
      "name": "Y. Shi"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/6xdd5dwaz2sst.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.09.14.750802",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.09.14.750802v1.full",
  "id": "6xdd5dwaz2sst",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.09.14.750802v1",
  "language": null,
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "bioinformatics"
    ],
    [
      "openalex",
      "1312|Bioinformatics and Genomic Networks"
    ]
  ],
  "openalex": "W7213776068",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.09.14.750802v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-14",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/6xdd5dwaz2sst.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:23:24Z",
      "native_id": "10.64898/2026.09.14.750802",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.09.14.750802v2"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:bioinformatics",
      "subfield": "bioinformatics"
    }
  ],
  "title": "BRIDGE-AD reveals Alzheimer's disease effectors through interpretable large-scale omics integration",
  "title_text": "BRIDGE-AD reveals Alzheimer's disease effectors through interpretable large-scale omics integration",
  "type": "preprint",
  "updated_at": "2026-10-30T12:24:30Z",
  "url": "https://research.draconitic.com/paper/6xdd5dwaz2sst",
  "venue": "bioRxiv",
  "versions": []
}