ReviewFrontiers in immunology2024
Towards early diagnosis of Alzheimer's disease: advances in immune-related blood biomarkers and computational approaches.
Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- [Association between Tau protein deposition and brain metabolites: N-acetylaspartate and creatine as potential biomarkers for advanced Alzheimer's disease].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025Article
- Brain Tumors, AI and Psychiatry: Predicting Tumor-Associated Psychiatric Syndromes with Machine Learning and Biomarkers.International journal of molecular sciences · 2025Review
- Bridging neuro-biomarkers and MR imaging: The synergistic role of glial fibrillary acidic protein in early CNS disease diagnosis.IBRO neuroscience reports · 2025Review
- Predictive regression models for cognitive impairment, dementia, and Alzheimer's disease using real-world electronic health records.Frontiers in neurology · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
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Abstract
Alzheimer's disease has an increasing prevalence in the population world-wide, yet current diagnostic methods based on recommended biomarkers are only available in specialized clinics. Due to these circumstances, Alzheimer's disease is usually diagnosed late, which contrasts with the currently available treatment options that are only effective for patients at an early stage. Blood-based biomarkers could fill in the gap of easily accessible and low-cost methods for early diagnosis of the disease. In particular, immune-based blood-biomarkers might be a promising option, given the recently discovered cross-talk of immune cells of the central nervous system with those in the peripheral immune system. Here, we give a background on recent advances in research on brain-immune system cross-talk in Alzheimer's disease and review machine learning approaches, which can combine multiple biomarkers with further information (e.g. age, sex, APOE genotype) into predictive models supporting an earlier diagnosis. In addition, mechanistic modeling approaches, such as agent-based modeling open the possibility to model and analyze cell dynamics over time. This review aims to provide an overview of the current state of immune-system related blood-based biomarkers and their potential for the early diagnosis of Alzheimer's disease.
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Registered trials
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