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Adam H, Gopinath SCB, Md Arshad MK, Adam T, Parmin NA, Husein I, Hashim U. An update on pathogenesis and clinical scenario for Parkinson's disease: diagnosis and treatment. 3 Biotech 2023; 13:142. [PMID: 37124989 PMCID: PMC10134733 DOI: 10.1007/s13205-023-03553-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 04/04/2023] [Indexed: 05/02/2023] Open
Abstract
In severe cases, Parkinson's disease causes uncontrolled movements known as motor symptoms such as dystonia, rigidity, bradykinesia, and tremors. Parkinson's disease also causes non-motor symptoms such as insomnia, constipation, depression and hysteria. Disruption of dopaminergic and non-dopaminergic neural networks in the substantia nigra pars compacta is a major cause of motor symptoms in Parkinson's disease. Furthermore, due to the difficulty of clinical diagnosis of Parkinson's disease, it is often misdiagnosed, highlighting the need for better methods of detection. Treatment of Parkinson's disease is also complicated due to the difficulties of medications passing across the blood-brain barrier. Moreover, the conventional methods fail to solve the aforementioned issues. As a result, new methods are needed to detect and treat Parkinson's disease. Improved diagnosis and treatment of Parkinson's disease can help avoid some of its devastating symptoms. This review explores how nanotechnology platforms, such as nanobiosensors and nanomedicine, have improved Parkinson's disease detection and treatment. Nanobiosensors integrate science and engineering principles to detect Parkinson's disease. The main advantages are their low cost, portability, and quick and precise analysis. Moreover, nanotechnology can transport medications in the form of nanoparticles across the blood-brain barrier. However, because nanobiosensors are a novel technology, their use in biological systems is limited. Nanobiosensors have the potential to disrupt cell metabolism and homeostasis, changing cellular molecular profiles and making it difficult to distinguish sensor-induced artifacts from fundamental biological phenomena. In the treatment of Parkinson's disease, nanoparticles, on the other hand, produce neurotoxicity, which is a challenge in the treatment of Parkinson's disease. Techniques must be developed to distinguish sensor-induced artifacts from fundamental biological phenomena and to reduce the neurotoxicity caused by nanoparticles.
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Affiliation(s)
- Hussaini Adam
- Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, 01000 Perlis, Malaysia
| | - Subash C. B. Gopinath
- Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, 01000 Perlis, Malaysia
- Faculty of Chemical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Arau, 02600 Perlis, Malaysia
- Micro System Technology, Centre of Excellence (CoE), Universiti Malaysia Perlis (UniMAP), Pauh Campus, Arau, 02600 Perlis, Malaysia
| | - M. K. Md Arshad
- Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, 01000 Perlis, Malaysia
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Pauh Campus, Arau, 02600 Perlis, Malaysia
| | - Tijjani Adam
- Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, 01000 Perlis, Malaysia
- Micro System Technology, Centre of Excellence (CoE), Universiti Malaysia Perlis (UniMAP), Pauh Campus, Arau, 02600 Perlis, Malaysia
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Pauh Campus, Arau, 02600 Perlis, Malaysia
| | - N. A. Parmin
- Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, 01000 Perlis, Malaysia
| | - Irzaman Husein
- Department of Physics, Faculty of Mathematics and Natural Sciences, IPB University, Bogor-Indonesia, Indonesia
| | - Uda Hashim
- Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, 01000 Perlis, Malaysia
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