{
  "abstract": "Current biomarkers for Parkinson’s disease (PD) diagnosis, including imaging tracers, α-synuclein seeding assays, proteomic markers, and metabolomic signatures, are often limited by invasiveness, cost, scalability, or insufficient reproducibility. Circulating microRNAs (miRNAs) are attractive minimally invasive biomarkers because they are mechanistically linked to disease-associated pathways and remain stable in biofluids. However, the clinical translation of miRNA biomarkers has been hindered by multistep workflows and analytical variability arising from adapter ligation, reverse transcription, amplification drift, and cross-platform inconsistency in qRT-PCR, sequencing, and hybridization-based assays. To address these limitations, we developed XENO-Q, a rapid three-step platform that enables bias-minimized miRNA quantification through target-selective synthesis, in which only sensor-confirmed miRNAs are converted into amplifiable chimera products. XENO-Q enables linear quantification across several orders of magnitude with femtomolar sensitivity and high reproducibility while maintaining compatibility with qRT-PCR, ddPCR, and nanopore sequencing workflows. As a demonstration of clinical applicability, XENO-Q identified a two-marker circulating miRNA signature that accurately distinguished PD from other neurodegenerative conditions. These findings establish XENO-Q as a scalable and clinically translatable framework for next-generation miRNA diagnostics beyond Parkinson’s disease. Graphical abstract",
  "abstract_shown": true,
  "affiliations": [
    "XENOHELIX Co. Ltd",
    "Department of Neurology, Yonsei University College of Medicine",
    "Department of Systems Biology, Institute of Life Science and Biotechnology, Yonsei University",
    "Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine",
    "Department of Neurology, National Taiwan University Hospital",
    "Institute of Biotechnology, National Taiwan University"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 17,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Mi Young Byun"
    },
    {
      "affs": [
        0
      ],
      "name": "Moon Young Ryu"
    },
    {
      "affs": [
        1
      ],
      "name": "Seok Jong Chung"
    },
    {
      "affs": [
        0
      ],
      "name": "Bora Lee"
    },
    {
      "affs": [
        0
      ],
      "name": "Jong Ryeol Oh"
    },
    {
      "affs": [
        0
      ],
      "name": "Jin Kyu Woo"
    },
    {
      "affs": [
        1
      ],
      "name": "Jin Young Shin"
    },
    {
      "affs": [
        2
      ],
      "name": "Min Kyun Han"
    },
    {
      "affs": [
        3
      ],
      "name": "Oh Young Bang"
    },
    {
      "affs": [
        1
      ],
      "name": "Yun Joong Kim"
    },
    {
      "affs": [
        4
      ],
      "name": "Ming-Che Kuo"
    },
    {
      "affs": [
        5
      ],
      "name": "Hsiang-Hsuan Lin-Wang"
    },
    {
      "affs": [
        4
      ],
      "name": "Ruey-Meei Wu"
    },
    {
      "affs": [
        5
      ],
      "name": "Shau-Ping Lin"
    },
    {
      "affs": [
        0
      ],
      "name": "Seok Keun Cho"
    },
    {
      "affs": [
        1
      ],
      "name": "Phil Hyu Lee"
    },
    {
      "affs": [
        2
      ],
      "name": "Seong Wook Yang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8th49vh020rn8.bib",
  "cited_by": 0,
  "doi": "10.1186/s12951-026-04707-5",
  "fulltext_url": "https://doi.org/10.1186/s12951-026-04707-5",
  "id": "8th49vh020rn8",
  "issns": [
    "1477-3155"
  ],
  "landing_url": "https://doi.org/10.1186/s12951-026-04707-5",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "R855-855.5"
    ],
    [
      "lcc",
      "TP248.13-248.65"
    ],
    [
      "openalex",
      "1312|Advanced biosensing and bioanalysis techniques"
    ]
  ],
  "openalex": "W7165668028",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-06-01",
  "publisher": "BMC",
  "ris": "https://research.draconitic.com/paper/8th49vh020rn8.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:46:29Z",
      "native_id": "f8bb228468a7422289c0c9c22ef07426",
      "source": "doaj",
      "url": "https://doi.org/10.1186/s12951-026-04707-5"
    }
  ],
  "subjects": [
    {
      "field": "biochemistry",
      "origin": "openalex:1312|Advanced biosensing and bioanalysis techniques",
      "subfield": "molecular-biology"
    }
  ],
  "title": "Development of a rapid and simple Xeno Nucleic Acid (XNA) sensor-based microRNA detection platform for Parkinson’s disease diagnostics",
  "title_text": "Development of a rapid and simple Xeno Nucleic Acid (XNA) sensor-based microRNA detection platform for Parkinson’s disease diagnostics",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:46:29Z",
  "url": "https://research.draconitic.com/paper/8th49vh020rn8",
  "venue": "Journal of Nanobiotechnology",
  "versions": []
}