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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Use of biomarkers in the early detection of Alzheimer’s disease

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Laura Elisa Pires Cunha *; Jeniffer Aparecida de Morais Rodrigues; Mariana Camargo Silva; Eduarda Schults Moraes; Kesly Karoliny Caitano Rodrigues; João Vitor Nardelli; Gustavo França Reges; Heloísa Souza Mello and Marinaldo Soares Leite

Centro Universitário Alfredo Nasser. Brazil.

Review Article

International Journal of Science and Research Archive, 2025 14(01), 1043-1051

Article DOI: 10.30574/ijsra.2025.14.1.0187

DOI url: https://doi.org/10.30574/ijsra.2025.14.1.0187

Received on 08 December 2024; revised on 17 January 2025; accepted on 20 January 2025

In 1906, Alois Alzheimer described the disease bearing his name, a progressive neurodegenerative pathology with high prevalence. This condition is characterized by progressive cognitive impairment, particularly memory loss, resulting from the degeneration and death of neurons in cortical and subcortical regions. Late diagnosis remains one of the main factors negatively impacting the prognosis of patients with Alzheimer’s disease (AD). Evidence from studies using positron emission tomography (PET) and cerebrospinal fluid (CSF) analysis indicates that neuropathological changes associated with AD begin up to 20 years before the onset of clinical symptoms. This study aims to present the growing role of biomarkers in the early detection of Alzheimer’s disease, emphasizing their importance in identifying early pathological changes before the appearance of clinical symptoms. This review seeks to investigate the use of biomarkers in the early detection of Alzheimer’s disease, focusing on articles from the last five years, both national and international. The methodology will be conducted systematically and structurally. The development of biomarkers for Alzheimer’s disease has advanced considerably, providing essential tools for the prevention, diagnosis, and monitoring of disease progression. Among the most studied biomarkers are Beta-Amyloid and phosphorylated Tau protein, which serve as biological indicators of the underlying pathological processes of the disease. These biomarkers can be measured objectively; however, obtaining this information often requires invasive methods, such as the collection of cerebrospinal fluid (CSF) to quantify protein levels. Phosphorylated Tau protein (p-tau), for instance, has proven particularly useful when combined with other biomarkers, offering a more accurate evaluation of the pathology. The integration of protein, genetic, and lipid biomarkers, together with new measurement platforms, will likely be essential in transforming the clinical approach to AD, providing a more comprehensive understanding of the disease from its early stages to its more advanced phases.

Biomarkers; Alzheimer’s disease; Early detection; β-amyloid; tau; CSF; PET; Functional magnetic resonance imaging

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-0187.pdf

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Laura Elisa Pires Cunha, Jeniffer Aparecida de Morais Rodrigues, Mariana Camargo Silva, Eduarda Schults Moraes, Kesly Karoliny Caitano Rodrigues, João Vitor Nardelli, Gustavo França Reges, Heloísa Souza Mello and Marinaldo Soares Leite. Use of biomarkers in the early detection of Alzheimer’s disease. International Journal of Science and Research Archive, 2025 14(01), 1043-1051. Article DOI: https://doi.org/10.30574/ijsra.2025.14.1.0187.

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

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