Smart Diagnostics for Neurodegenerative Disorders

Neuro-sensors

1st Edition - August 19, 2023
Editors: Arpana Parihar, Raju Khan, Avanish Kumar Srivastava
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 5 5 3 9 - 3
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 5 5 4 0 - 9

Smart Diagnostics for Neurodegenerative Disorders: Neuro-sensors explores all available biosensor-based approaches and technologies as well as their use in the diagnosis, prognosis… Read more

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Smart Diagnostics for Neurodegenerative Disorders: Neuro-sensors explores all available biosensor-based approaches and technologies as well as their use in the diagnosis, prognosis and therapeutic management of a variety of neurological disorders such as Alzheimer's, Parkinson's and epileptic disorders. The book also discusses contemporary and revolutionary biosensor platforms that are being used to produce a quantitative quick lab-on-a-chip point-of-care (POC) assay for several types of predictive and diagnostic biomarkers linked with neurodegenerative disorders. It offers a combinatorial strategy for learning recent advances and designing new biosensor-based technologies in the fields of medical science, engineering and biomedical technology.

Early detection of neurological conditions has the potential to treat the disease and extend the life expectancy of patients. Recent improvements in biosensor-based approaches that target specific cell surface biomarkers can be used for early detection of neurodegenerative disease.

Cover image
Title page
Table of Contents
Copyright
Dedication
List of contributors
Preface
Acknowledgments
Chapter 1. Neurobiosensors: novel approaches towards early diagnostics of neurodegenerative disorders
Abstract
1.1 Introduction
1.2 Overview of neurodegenerative diseases
1.3 Classification of biomarkers for neurodegenerative diseases
1.4 Structural analysis of biosensor designing/mechanism of biosensor devices
1.5 Neurobiosensors: a potential tool for early diagnosis of NDDs
1.6 Currently available biosensor technologies
1.7 Conclusion and future outlook
Acknowledgments
References
Chapter 2. Sampling methods and biomarkers for early detection of neurodegenerative disorders
Abstract
2.1 Introduction
2.2 Clinical proteomics for neurodegenerative disorders (cNEUPRO)
2.3 Potential approach for early detection of neurodegenerative disorder: molecular diagnosis
2.4 Conclusion
Acknowledgments
References
Chapter 3. Salivary biomarkers for neurodegenerative disorder for biomedical sensing
Abstract
3.1 Introduction
3.2 Various bodily fluids for neurogenerative disorder detection
3.3 Various salivary biomarkers involved in early diagnosis of neurodegenerative disorders
3.4 Application of salivary biomarkers for biomedical sensing
3.5 Limitations of salivary biomarkers
3.6 Conclusion and future perspectives
Acknowledgments
References
Chapter 4. Lateral flow assay for early diagnosis of neurodegenerative disorder
Abstract
4.1 Introduction
4.2 Neurodegenerative disorders
4.3 Major diagnosis method of NDDs
4.4 Diagnosis of NDDs from lateral flow assay
4.5 Challenges and perspectives for future research
4.6 Conclusions
Abbreviations
Acknowledgments
Conflict of interest
References
Chapter 5. Image processing: an early detection tool for Alzheimer’s disease
Abstract
5.1 Introduction
5.2 Available noninvasive diagnostic methods versus imaging techniques
5.3 Importance of AI for early detection of AD
5.4 Imaging and human behavior analysis using AI
5.5 AI algorithms for AD
5.6 AI-assisted pattern recognition for early detection of AD through human behavior
5.7 AI-based research and devices for AD
5.8 Conclusions and future directions
Acknowledgments
Conflict of interest
References
Chapter 6. Detection of genetic and epigenetic markers in neurodegenerative disorders
Abstract
6.1 Introduction
6.2 Epigenetic modifications and neuroepigenetics and their role in neuronal function
6.3 Clinical significance of early stage diagnosis and treatment of neurodegenerative diseases
6.4 Molecular diagnosis for neurodegenerative diseases: superior approach over behavioral symptoms based diagnosis
6.5 Epigenetic and/or consequent transcriptional alterations in neurodegenerative diseases
6.6 Perspectives on the discovery genetic and epigenetic biomarkers and their application
6.7 Technical limitations of neural organoids for epigenetics-based biomarker discovery
6.8 Conclusion and future perspectives
References
Chapter 7. Electrochemical biosensor-based detection assays for early diagnosis of neurodegenerative disorders
Abstract
7.1 Introduction
7.2 Biomarkers for neurodegenerative disease detection
7.3 Electrochemical biosensors for disease biomarker detection
7.4 Conclusions and future perspectives
Acknowledgments
References
Chapter 8. FRET-based assays for neurological disease and diagnostics
Abstract
8.1 Introduction
8.2 Different types of FRET assay
8.3 FRET ASSAYS performed until date for disorders
8.4 Advantages and limitations
8.5 Summary and future directions for research
References
Chapter 9. Lab-on-chip platform for neurodegenerative disorder
Abstract
9.1 Introduction
9.2 Lab-on-chip technology for neurodegenerative disease models
9.3 Lab on chip for neurodegenerative diseases
9.4 Current limitations and challenges for the development of disease-specific models
9.5 Conclusions and future prospective
References
Chapter 10. Rapid diagnostic assays for the detection of Alzheimer’s and Parkinson’s diseases
Abstract
10.1 Introduction
10.2 Traditional approach
10.3 Molecular biological technique-based diagnostics for NDDs
10.4 Advanced biosensor-based diagnosis of NDDs
10.5 Role of nanoparticles for the fabrication of biosensors
10.6 Challenges and future outlook
10.7 Conclusion
Acknowledgments
References
Chapter 11. Smartphone coupled nano-enabled sensors for neurodegenerative disorder
Abstract
11.1 Introduction
11.2 Biosensors for neurodegenerative diseases
11.3 Smartphone-enabled biosensing platforms
11.4 Optical sensing using smartphones
11.5 Electrochemical sensing using smartphones
11.6 Smartphone-coupled nano-enabled biosensors for neurodegenerative diseases
11.7 Challenges and issues while fabrication of smartphone-based devices
11.8 Conclusion and future perspectives
Acknowledgments
Conflict of interest
References
Chapter 12. Microfluidic-integrated biosensors for neurodegenerative disorders
Abstract
12.1 Introduction
12.2 Biosensors for neurodegenerative diseases
12.3 Microfluidic biosensors
12.4 Microfluidic biosensors for neurodegenerative diseases
12.5 Conclusion and future perspective
Acknowledgments
Conflict of interest
References
Chapter 13. POCT devices for neurodegenerative disorders: from lab to clinics
Abstract
13.1 Introduction
13.2 Classification of neurodegenerative diseases
13.3 Biomarkers for diagnosing neurodegenerative diseases
13.4 POC diagnostics from lab to clinical applications
13.5 Artificial intelligence (AI)-based clinical evaluation
13.6 Market growth of point-of-care diagnostics
13.7 Conclusion
Acknowledgments
References
Chapter 14. Current challenges and future perspectives for the development of POCT devices for neurodegenerative disorders
Abstract
14.1 Introduction
14.2 Neurodegenerative disease
14.3 Neurobiosensors for early diagnosis of NDD
14.4 Challenges in POCT device fabrication and development
14.5 Goals for the development of POCT
14.6 Conclusion
Acknowledgments
References
Index

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Arpana Parihar

Raju Khan

Avanish Kumar Srivastava