{
  "abstract": "The indicator cell assay platform (iCAP) is a blood-based diagnostic approach that uses standardized cells as biosensors to transduce complex circulating signals into cell-based gene-expression profiles for multivariate disease classification. We developed an iCAP for early detection of Alzheimer’s disease (AD-iCAP) by incubating plasma from patients with early-stage AD (mild cognitive impairment or mild dementia) and non-affected controls with standardized neurons and training classifiers on transcriptomic responses. Modeling features were restricted to a predefined 84-gene panel derived independently by analyzing 5xFAD mouse plasma in the AD-iCAP. In this exploratory study, a model was trained and tested using 191 retrospectively collected human plasma samples across three cohorts. The classifier achieved AUC = 0.64 (95% CI 0.51–0.78) in an external validation set during model development (n = 82) and AUC = 0.77 (95% CI 0.57–0.96) in a blind test set (n = 23). The multivariate model incorporated 5 genes including AKT3 , GPR50 , PALLD , RGMA , and PCDH10 , implicated in AD, neuronal signaling and/or cytoskeletal dynamics. The cell-based approach is orthogonal to direct detection of circulating amyloid and tau, and these exploratory findings support further evaluation of AD-iCAP in prospective studies for combinatorial diagnostics and patient stratification for clinical trials.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 71,
  "authors": [
    {
      "name": "Yijun Qi"
    },
    {
      "name": "Leslie Rae Miller"
    },
    {
      "name": "Mark D. D’Ascenzo"
    },
    {
      "name": "Jason D. Berndt"
    },
    {
      "name": "G. Adam Whitney"
    },
    {
      "name": "Fergal Duffy"
    },
    {
      "name": "Samuel A. Danziger"
    },
    {
      "name": "Elaine Peskind"
    },
    {
      "name": "Ge Li"
    },
    {
      "name": "Colin L. Masters"
    },
    {
      "name": "Christopher Fowler"
    },
    {
      "name": "Australian Imaging Biomarkers and Lifestyle Study of Ageing (AIBL) Research Group"
    },
    {
      "name": "Lidija Milicic"
    },
    {
      "name": "Michael Vacher"
    },
    {
      "name": "Pierrick Bourgeat"
    },
    {
      "name": "Vincent Doré"
    },
    {
      "name": "Rosita Shishegar"
    },
    {
      "name": "Paul Maruff"
    },
    {
      "name": "Christopher C. Rowe"
    },
    {
      "name": "Victor L. Villemagne"
    },
    {
      "name": "Tenielle Porter"
    },
    {
      "name": "Simon M. Laws"
    },
    {
      "name": "Stephanie R. Rainey-Smith"
    },
    {
      "name": "Julia Bomke"
    },
    {
      "name": "Belinda M. Brown"
    },
    {
      "name": "Scott Ayton"
    },
    {
      "name": "Ashley I. Bush"
    },
    {
      "name": "Carolyn Chadunow"
    },
    {
      "name": "Steven Collins"
    },
    {
      "name": "James Doecke"
    },
    {
      "name": "Kathryn A. Ellis"
    },
    {
      "name": "Lis Evered"
    },
    {
      "name": "Amir Fazlollahi"
    },
    {
      "name": "Jurgen Fripp"
    },
    {
      "name": "Samantha L. Gardener"
    },
    {
      "name": "Simon Gibson"
    },
    {
      "name": "Robert Grenfell"
    },
    {
      "name": "Elise Harrison"
    },
    {
      "name": "Liang Jin"
    },
    {
      "name": "Adrian Kamer"
    },
    {
      "name": "Fiona Lamb"
    },
    {
      "name": "Nicola T. Lautenschlager"
    },
    {
      "name": "Qiao-Xin Li"
    },
    {
      "name": "Lucy Lim"
    },
    {
      "name": "Yen Ying Lim"
    },
    {
      "name": "Andrea Louey"
    },
    {
      "name": "Lucy Mackintosh"
    },
    {
      "name": "Ralph N. Martins"
    },
    {
      "name": "Kelly Pertile"
    },
    {
      "name": "Morgan Radler"
    },
    {
      "name": "Joanne Robertson"
    },
    {
      "name": "Mark Rodrigues"
    },
    {
      "name": "Rebecca Rumble"
    },
    {
      "name": "Olivier Salvado"
    },
    {
      "name": "Greg Savage"
    },
    {
      "name": "Brendan Silbert"
    },
    {
      "name": "Magdalene Soh"
    },
    {
      "name": "Hamid R. Sohrabi"
    },
    {
      "name": "Kevin Taddei"
    },
    {
      "name": "Tania Taddei"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/e5hbpgmc0x6hx.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-74186-z",
  "fulltext_url": null,
  "id": "e5hbpgmc0x6hx",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://www.nature.com/articles/s41598-026-74186-z",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2738|Dementia and Cognitive Impairment Research"
    ]
  ],
  "openalex": "W7222840179",
  "pdf_url": "https://www.nature.com/articles/s41598-026-74186-z_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-17",
  "publisher": "Springer Science and Business Media LLC",
  "ris": "https://research.draconitic.com/paper/e5hbpgmc0x6hx.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:30Z",
      "native_id": "10.1038/s41598-026-74186-z",
      "source": "crossref",
      "url": "https://www.nature.com/articles/s41598-026-74186-z"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2738|Dementia and Cognitive Impairment Research",
      "subfield": "psychiatry"
    }
  ],
  "title": "A cell-based multivariate blood test (iCAP) for early detection of Alzheimer’s disease capturing non-amyloid-β biology",
  "title_text": "A cell-based multivariate blood test (iCAP) for early detection of Alzheimer’s disease capturing non-amyloid-β biology",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:30Z",
  "url": "https://research.draconitic.com/paper/e5hbpgmc0x6hx",
  "venue": "Scientific Reports",
  "versions": []
}