Unveiling the Molecular Footprint: Proteome-Based Biomarkers for Alzheimer’s Disease

Author:

Jain Mukul12ORCID,Dhariwal Rupal12ORCID,Patil Nil12ORCID,Ojha Sandhya2,Tendulkar Reshma3ORCID,Tendulkar Mugdha4ORCID,Dhanda Parmdeep Singh5ORCID,Yadav Alpa6,Kaushik Prashant7ORCID

Affiliation:

1. Cell and Developmental Biology Laboratory, Research and Development Cell, Parul University, Vadodara 391760, India

2. Department of Life Sciences, Parul Institute of Applied Sciences, Parul University, Vadodara 391760, India

3. Vivekanand Education Society, College of Pharmacy, Chembur, Mumbai 400071, India

4. Sardar Vallabhbhai Patel College of Science, Mira Rd (East), Thane 400071, India

5. Department of Biochemistry, Punjab Agricultural University, Ludhiana 141027, India

6. Department of Botany, Indira Gandhi University, Meerpur, Rewari 122502, India

7. Instituto de Conservacióny Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, 46022 Valencia, Spain

Abstract

Alzheimer’s disease (AD) is a devastating neurodegenerative disorder characterized by progressive cognitive decline and memory loss. Early and accurate diagnosis of AD is crucial for implementing timely interventions and developing effective therapeutic strategies. Proteome-based biomarkers have emerged as promising tools for AD diagnosis and prognosis due to their ability to reflect disease-specific molecular alterations. There is of great significance for biomarkers in AD diagnosis and management. It emphasizes the limitations of existing diagnostic approaches and the need for reliable and accessible biomarkers. Proteomics, a field that comprehensively analyzes the entire protein complement of cells, tissues, or bio fluids, is presented as a powerful tool for identifying AD biomarkers. There is a diverse range of proteomic approaches employed in AD research, including mass spectrometry, two-dimensional gel electrophoresis, and protein microarrays. The challenges associated with identifying reliable biomarkers, such as sample heterogeneity and the dynamic nature of the disease. There are well-known proteins implicated in AD pathogenesis, such as amyloid-beta peptides, tau protein, Apo lipoprotein E, and clusterin, as well as inflammatory markers and complement proteins. Validation and clinical utility of proteome-based biomarkers are addressing the challenges involved in validation studies and the diagnostic accuracy of these biomarkers. There is great potential in monitoring disease progression and response to treatment, thereby aiding in personalized medicine approaches for AD patients. There is a great role for bioinformatics and data analysis in proteomics for AD biomarker research and the importance of data preprocessing, statistical analysis, pathway analysis, and integration of multi-omics data for a comprehensive understanding of AD pathophysiology. In conclusion, proteome-based biomarkers hold great promise in the field of AD research. They provide valuable insights into disease mechanisms, aid in early diagnosis, and facilitate personalized treatment strategies. However, further research and validation studies are necessary to harness the full potential of proteome-based biomarkers in clinical practice.

Publisher

MDPI AG

Subject

Clinical Biochemistry,Molecular Biology,Biochemistry,Structural Biology

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