{
  "abstract": "INTRODUCTIONUnderstanding concordance across biofluids and platforms is critical for understanding neurodegenerative biomarkers results and translating them into clinical use; yet systematic comparisons remain limited. To address this gap, we performed large-scale proteomic profiling of patient-paired plasma and CSF to characterize cross-modal relationships.\n\nMETHODSWe profiled paired plasma and CSF from 67 individuals using SomaScan 11K and NULISAseq CNS panels. Disease severity was assessed with the CDR+NACC FTLD-M Global Score.\n\nRESULTSWe identified 269 SomaScan and 18 NULISA proteins with significant cross-biofluid correlation. Cross-platform concordance within biofluids was strong. NEFL, NPTX2, TREM2, and CHIT1 demonstrated consistent cross-platform agreement. Associations with disease severity were compartment-specific, with decreased NPTX2 in CSF, increased NEFL and GFAP in plasma, and decreased TREM2 across biofluids.\n\nDISCUSSIONCross-platform consistency supports biomarker robustness, while limited cross-biofluid concordance highlights compartmental biology. Given additional clinical correlations despite varying underlying pathology, these findings may point to shared neurodegenerative disorder pathways.",
  "abstract_shown": true,
  "affiliations": [
    "Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institute"
  ],
  "article_type": "PUBLISHAHEADOFPRINT",
  "arxiv": null,
  "author_total": 18,
  "authors": [
    {
      "name": "I. Kowal"
    },
    {
      "name": "S. W. Scholz"
    },
    {
      "name": "J. Epstein"
    },
    {
      "name": "B. J. Traynor"
    },
    {
      "name": "L. E. Danielian"
    },
    {
      "name": "Y. Hao"
    },
    {
      "name": "J. Crook"
    },
    {
      "name": "Z. Li"
    },
    {
      "name": "K. Porter"
    },
    {
      "name": "B. Sellers"
    },
    {
      "name": "T. J. Langowski"
    },
    {
      "name": "M. N. Denkinger"
    },
    {
      "name": "N. J. Ashton"
    },
    {
      "name": "K. Van Keuron-Jensen"
    },
    {
      "name": "M. R. Cookson"
    },
    {
      "name": "J. Y. Kwan"
    },
    {
      "affs": [
        0
      ],
      "name": "Y. A. A. Qi"
    },
    {
      "name": "A. Snyder"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8006z0fts756k.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.09.02.26361977",
  "fulltext_url": "https://www.medrxiv.org/content/10.64898/2026.09.02.26361977v1.full",
  "id": "8006z0fts756k",
  "issns": [],
  "landing_url": "https://www.medrxiv.org/content/10.64898/2026.09.02.26361977v1",
  "language": null,
  "licence": "CC0-1.0",
  "licence_label": "CC0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/publicdomain/zero/1.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "medrxiv",
      "neurology"
    ],
    [
      "openalex",
      "2738|Dementia and Cognitive Impairment Research"
    ]
  ],
  "openalex": "W7211903942",
  "pdf_url": "https://www.medrxiv.org/content/10.64898/2026.09.02.26361977v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-02",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/8006z0fts756k.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:51Z",
      "native_id": "10.64898/2026.09.02.26361977",
      "source": "medrxiv",
      "url": "https://www.medrxiv.org/content/10.64898/2026.09.02.26361977v1"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "medrxiv:neurology",
      "subfield": "neurology"
    }
  ],
  "title": "A dual proteomics analysis of paired cerebrospinal fluid and plasma from patients with neurodegenerative diseases",
  "title_text": "A dual proteomics analysis of paired cerebrospinal fluid and plasma from patients with neurodegenerative diseases",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:51Z",
  "url": "https://research.draconitic.com/paper/8006z0fts756k",
  "venue": "medRxiv",
  "versions": []
}