{
  "abstract": "Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory impairment. Oxidative stress plays an important role in disease progression in AD. However, the molecular mechanisms underlying oxidative stress in AD remain unclear and reliable biomarkers for its detection have not been identified. In this study, bioinformatics analyses integrating differential expression analysis and weighted gene co-expression network analysis were performed to identify oxidative-stress-related differentially expressed genes. Using machine learning algorithms, ACO2 was identified as a significantly downregulated hub gene associated with AD. Single-cell transcriptomic analysis further showed markedly reduced ACO2 expression levels in hippocampal neurons of patients with AD. To validate these findings, proteomic analysis, quantitative real-time polymerase chain reaction (qPCR), and Western blotting were performed in a mouse model of AD. These results confirmed decreased ACO2 mRNA and protein expression levels in the hippocampus. Consistently, qPCR analysis of peripheral blood samples from patients with AD revealed significantly reduced ACO2 expression levels compared to those in healthy controls. Collectively, these findings identified ACO2 as an oxidative-stress-related biomarker associated with AD and suggested its potential value as an AD-related candidate biomarker.",
  "abstract_shown": true,
  "affiliations": [
    "School of Public Health, Health Science Center, Institute of One Health Science, Ningbo University, Ningbo 315211, China",
    "Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China",
    "Zhejiang Engineering Research Center of Advanced Mass Spectrometry and Clinical Application, Institute of Mass Spectrometry, Ningbo University, Ningbo 315211, China"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "affs": [
        0,
        1,
        2
      ],
      "name": "Wenbo Dou"
    },
    {
      "affs": [
        0
      ],
      "name": "Xue Chen"
    },
    {
      "affs": [
        0
      ],
      "name": "Hang Hong"
    },
    {
      "affs": [
        0
      ],
      "name": "Qiong Liu"
    },
    {
      "affs": [
        0
      ],
      "name": "Sa Xiao"
    },
    {
      "affs": [
        0
      ],
      "name": "Lian Li"
    },
    {
      "affs": [
        1,
        2
      ],
      "name": "Jiancheng Yu"
    },
    {
      "affs": [
        0,
        2
      ],
      "name": "Chunlan Tang",
      "orcid": "0000-0001-5297-8965"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ew54x3hs5pfe9.bib",
  "cited_by": 0,
  "doi": "10.3390/biom16101435",
  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13702750/?tool=EBI",
  "id": "ew54x3hs5pfe9",
  "issns": [
    "2218-273X"
  ],
  "landing_url": "https://www.mdpi.com/2218-273X/16/10/1435",
  "language": "eng",
  "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",
      "2737|Alzheimer's disease research and treatments"
    ]
  ],
  "openalex": "W7215683341",
  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13702750/pdf/?tool=EBI",
  "pmcid": "PMC13702750",
  "pmid": null,
  "published": "2026-10-01",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/ew54x3hs5pfe9.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:59Z",
      "native_id": "10.3390/biom16101435",
      "source": "crossref",
      "url": "https://www.mdpi.com/2218-273X/16/10/1435"
    },
    {
      "first_seen": "2026-10-30T12:21:48Z",
      "native_id": "PMC:PMC13702750",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13702750"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2737|Alzheimer's disease research and treatments",
      "subfield": "physiology"
    }
  ],
  "title": "Integrated Multi-Omics Analysis Reveals ACO2 as an Oxidative-Stress-Related Biomarker in Alzheimer’s Disease",
  "title_text": "Integrated Multi-Omics Analysis Reveals ACO2 as an Oxidative-Stress-Related Biomarker in Alzheimer’s Disease",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:21:48Z",
  "url": "https://research.draconitic.com/paper/ew54x3hs5pfe9",
  "venue": "Biomolecules",
  "versions": []
}