What is it about?
This chapter explores how changes in metal levels in the body can contribute to neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, and Huntington's disease. It explains how metal-related biomarkers can help detect these conditions at an earlier stage, before significant brain damage occurs. The chapter also reviews recent advances in diagnostic technologies, including biosensors, neuroimaging, and analytical techniques, as well as emerging treatments such as metal-chelating agents, nanotechnology-based drug delivery, and personalized medicine. Together, these approaches may improve early diagnosis, disease monitoring, and the development of more effective therapies.
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Why is it important?
Neurodegenerative diseases are often diagnosed only after irreversible damage has occurred, reducing the effectiveness of available treatments. Early detection using reliable biomarkers could enable earlier intervention, improve disease monitoring, and support more personalized treatment strategies. By highlighting recent advances in metal-related biomarkers and emerging therapies, this chapter provides insights that may contribute to better diagnosis, improved patient care, and the future development of precision medicine for neurodegenerative disorders.
Perspectives
Future research should focus on validating metal-related biomarkers in large clinical studies and translating these findings into routine clinical practice. Advances in biosensor technology, artificial intelligence, and precision medicine may enable faster, more accurate, and minimally invasive diagnosis of neurodegenerative diseases. Combining early detection with targeted therapies has the potential to improve patient outcomes, slow disease progression, and support the development of personalized treatment strategies.
Rahul Kumar
Faculty of Pharmacy, Vidya University, Baghpat Road, Meerut, U.P. 250005
Read the Original
This page is a summary of: Diagnostic and Therapeutic Approaches to Neurodegenerative Disorders: Biomarkers for Early Detection, April 2026, Bentham Science Publishers,
DOI: 10.2174/9798898815257126010013.
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