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Ebadpour N, Mahmoudi M, Kamal Kheder R, Abavisani M, Baridjavadi Z, Abdollahi N, Esmaeili SA. From mitochondrial dysfunction to neuroinflammation in Parkinson's disease: Pathogenesis and mitochondrial therapeutic approaches. Int Immunopharmacol 2024; 142:113015. [PMID: 39222583 DOI: 10.1016/j.intimp.2024.113015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 07/28/2024] [Accepted: 08/22/2024] [Indexed: 09/04/2024]
Abstract
Parkinson's disease (PD) is a prevalent and intricate neurological condition resulting from a combination of several factors, such as genetics, environment, and the natural process of aging. Degeneration of neurons in the substantia nigra pars compacta (SN) can cause motor and non-motor impairments in patients with PD. In PD's etiology, inflammation and mitochondrial dysfunction play significant roles in the disease's development. Studies of individuals with PD have revealed increased inflammation in various brain areas. Furthermore, mitochondrial dysfunction is an essential part of PD pathophysiology. Defects in the components of the mitochondrial nucleus, its membrane or internal signaling pathways, mitochondrial homeostasis, and morphological alterations in peripheral cells have been extensively documented in PD patients. According to these studies, neuroinflammation and mitochondrial dysfunction are closely connected as pathogenic conditions in neurodegenerative diseases like PD. Given the mitochondria's role in cellular homeostasis maintenance in response to membrane structural flaws or mutations in mitochondrial DNA, their dynamic nature may present therapeutic prospects in this area. Recent research investigates mitochondrial transplantation as a potential treatment for Parkinson's disease in damaged neurons. This review delves into the impact of inflammation and mitochondrial dysfunction on PD occurrence, treatment approaches, and the latest developments in mitochondrial transplantation, highlighting the potential consequences of these discoveries.
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Affiliation(s)
- Negar Ebadpour
- Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Immunology Department, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mahmoud Mahmoudi
- Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Immunology Department, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ramiar Kamal Kheder
- Medical Laboratory Science Department, College of Science, University of Raparin, Rania, Sulaymaniyah, Iraq; Department of Medical Analysis, Faculty of Applied Science, Tishk International University, Erbil, Iraq
| | - Mohammad Abavisani
- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Zahra Baridjavadi
- Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Immunology Department, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Narges Abdollahi
- Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Immunology Department, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Seyed-Alireza Esmaeili
- Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Immunology Department, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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Arumugam M, Pachamuthu RS, Rymbai E, Jha AP, Rajagopal K, Kothandan R, Muthu S, Selvaraj D. Gene network analysis combined with preclinical studies to identify and elucidate the mechanism of action of novel irreversible Keap1 inhibitor for Parkinson's disease. Mol Divers 2024:10.1007/s11030-024-10965-y. [PMID: 39145879 DOI: 10.1007/s11030-024-10965-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 08/07/2024] [Indexed: 08/16/2024]
Abstract
The cysteine residues of Keap1 such as C151, C273, and C288 are critical for its repressor activity on Nrf2. However, to date, no molecules have been identified to covalently modify all three cysteine residues for Nrf2 activation. Hence, in this study, our goal is to discover new Keap1 covalent inhibitors that can undergo a Michael addition with all three cysteine residues. The Keap1's intervening region was modeled using Modeller v10.4. Covalent docking and binding free energy were calculated using CovDock. Molecular dynamics (MD) was performed using Desmond. Various in-vitro assays were carried out to confirm the neuroprotective effects of the hit molecule in 6-OHDA-treated SH-SY5Y cells. Further, the best hit was evaluated in vivo for its ability to improve rotenone-induced postural instability and cognitive impairment in male rats. Finally, network pharmacology was used to summarize the complete molecular mechanism of the hit molecule. Chalcone and plumbagin were found to form the necessary covalent bonds with all three cysteine residues. However, MD analysis indicated that the binding of plumbagin is more stable than chalcone. Plumbagin displayed neuroprotective effects in 6-OHDA-treated SH-SY5Y cells at concentrations 0.01 and 0.1 μM. Plumbagin at 0.1 µM had positive effects on reactive oxygen species formation and glutathione levels. Plumbagin also improved postural instability and cognitive impairment in rotenone-treated male rats. Our network analysis indicated that plumbagin could also improve dopamine signaling. Additionally, plumbagin could exhibit anti-oxidant and anti-inflammatory activity through the activation of Nrf2. Cumulatively, our study suggests that plumbagin is a novel Keap1 covalent inhibitor for Nrf2-mediated neuroprotection in PD.
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Affiliation(s)
- Monisha Arumugam
- Department of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamil Nadu, India
| | - Ranjith Sanjeeve Pachamuthu
- Department of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamil Nadu, India
| | - Emdormi Rymbai
- Department of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamil Nadu, India
| | - Aditya Prakash Jha
- Department of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamil Nadu, India
| | - Kalirajan Rajagopal
- Department of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education and Research, Ooty, Nilgiris, Tamil Nadu, India
| | - Ram Kothandan
- Bioinformatics Laboratory, Department of Biotechnology, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India
| | - Santhoshkumar Muthu
- Department of Biochemistry, Kongunadu Arts and Science College, GN Mills, Coimbatore, Tamil Nadu, India.
| | - Divakar Selvaraj
- Department of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamil Nadu, India.
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Jellinger KA. The pathobiological basis of depression in Parkinson disease: challenges and outlooks. J Neural Transm (Vienna) 2022; 129:1397-1418. [PMID: 36322206 PMCID: PMC9628588 DOI: 10.1007/s00702-022-02559-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022]
Abstract
Depression, with an estimated prevalence of about 40% is a most common neuropsychiatric disorder in Parkinson disease (PD), with a negative impact on quality of life, cognitive impairment and functional disability, yet the underlying neurobiology is poorly understood. Depression in PD (DPD), one of its most common non-motor symptoms, can precede the onset of motor symptoms but can occur at any stage of the disease. Although its diagnosis is based on standard criteria, due to overlap with other symptoms related to PD or to side effects of treatment, depression is frequently underdiagnosed and undertreated. DPD has been related to a variety of pathogenic mechanisms associated with the underlying neurodegenerative process, in particular dysfunction of neurotransmitter systems (dopaminergic, serotonergic and noradrenergic), as well as to disturbances of cortico-limbic, striato-thalamic-prefrontal, mediotemporal-limbic networks, with disruption in the topological organization of functional mood-related, motor and other essential brain network connections due to alterations in the blood-oxygen-level-dependent (BOLD) fluctuations in multiple brain areas. Other hypothetic mechanisms involve neuroinflammation, neuroimmune dysregulation, stress hormones, neurotrophic, toxic or metabolic factors. The pathophysiology and pathogenesis of DPD are multifactorial and complex, and its interactions with genetic factors, age-related changes, cognitive disposition and other co-morbidities awaits further elucidation.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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Sun M, Xie H, Tang Y. Directed Network Defects in Alzheimer's Disease Using Granger Causality and Graph Theory. Curr Alzheimer Res 2020; 17:939-947. [PMID: 33327911 DOI: 10.2174/1567205017666201215140625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 09/19/2020] [Accepted: 11/17/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Few works studied the directed whole-brain interaction between different brain regions of Alzheimer's disease (AD). Here, we investigated the whole-brain effective connectivity and studied the graph metrics associated with AD. METHODS Large-scale Granger causality analysis was conducted to explore abnormal whole-brain effective connectivity of patients with AD. Moreover, graph-theoretical metrics including smallworldness, assortativity, and hierarchy, were computed from the effective connectivity network. Statistical analysis identified the aberrant network properties of AD subjects when compared against healthy controls. RESULTS Decreased small-worldness, and increased characteristic path length, disassortativity, and hierarchy were found in AD subjects. CONCLUSION This work sheds insight into the underlying neuropathological mechanism of the brain network of AD individuals such as less efficient information transmission and reduced resilience to a random or targeted attack.
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Affiliation(s)
- Man Sun
- School of Computer Science and Engineering, Central South University, Changsha, 410008 Hunan, China
| | - Hua Xie
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, United States
| | - Yan Tang
- School of Computer Science and Engineering, Central South University, Changsha, 410008 Hunan, China
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SNCA rs11931074 polymorphism correlates with spontaneous brain activity and motor symptoms in Chinese patients with Parkinson's disease. J Neural Transm (Vienna) 2019; 126:1037-1045. [PMID: 31243602 DOI: 10.1007/s00702-019-02038-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 06/21/2019] [Indexed: 12/13/2022]
Abstract
The α-synuclein (SNCA) gene is thought to be involved in levels of α-synuclein and influence the susceptibility for the development of Parkinson's disease (PD). The aim of the present study is to explore the association among SNCA rs1193074 polymorphism, spontaneous brain activity and clinical symptoms in PD patients. 62 PD patients and 47 healthy controls (HC) were recruited and underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans. Also blood sample of each participant was genotyped for rs11931074 polymorphism (PD: TT = 19, GT = 32, GG = 11; HC: TT = 10, GT = 25, GG = 12) and then examined to ascertain the influence of different genotypes on regional brain activity with amplitude low-frequency fluctuation analysis (ALFF). Furthermore, we evaluated the relationship among genotypes, interactive brain region and clinical symptoms in PD. Compared with HC subjects, PD patients showed decreased ALFF values in right lingual gyrus and increased ALFF values in right cerebellum posterior lobe. Significant interaction of ''groups × genotypes'' was found in the right angular gyrus, where there were higher ALFF values in TT genotype than in GT or GG genotype in the PD group and there was a contrary trend in the HC group. And further Spearman's correlative analyses revealed that ALFF values in right angular gyrus were negatively associated with unified Parkinson's disease rating scale (UPDRS) III score in PD-TT genotype. Our study shows for the first time that SNCA rs11931074 polymorphism might modulate brain functional alterations and correlate with motor symptoms in Chinese PD patients.
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Zhang K, Tang Y, Meng L, Zhu L, Zhou X, Zhao Y, Yan X, Tang B, Guo J. The Effects of SNCA rs894278 on Resting-State Brain Activity in Parkinson's Disease. Front Neurosci 2019; 13:47. [PMID: 30778284 PMCID: PMC6369188 DOI: 10.3389/fnins.2019.00047] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 01/18/2019] [Indexed: 12/21/2022] Open
Abstract
The pathogenesis of Parkinson's disease (PD) is not well established. The rs894278 polymorphism of SNCA has been associated with PD. We performed this study to investigate the relationship between rs894278 and PD status on resting-state brain activity, by analyzing the amplitude of low-frequency fluctuation (ALFF). A total of 81 PD patients and 64 healthy controls were recruited. Disease severity and PD stage were evaluated in PD patients using the unified Parkinson's disease rating scale (UPDRS) and the Hoehn and Yahr (HY) scale, while the cognitive function of all participants was assessed using the mini-mental state examination (MMSE). All participants were genotyped for the rs894278 SNP and underwent a resting state functional magnetic resonance imaging scan. We found that the ALFF values of PD patients in the lingual gyrus and left caudate were lower than those of HCs; and the ALFF values for the right fusiform of participants with G allele were lower than those of participants without G allele. And we further revealed higher ALFF values in bilateral fusiform in rs894278-G carriers than in rs894278-G non-carriers in the PD group and lower ALFF values in bilateral fusiform in rs894278-G carriers than in rs894278-G non-carriers in the HC group. Our findings show that rs894278 and PD status interactively affect the brain activity of PD patients and HCs, and changes in the brain connectomes may play a key role in the pathogenesis of PD. Thus, our work sheds light on the mechanism underlying PD pathogenesis.
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Affiliation(s)
- Kailin Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yan Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,School of Information Science and Engineering, Central South University, Changsha, China
| | - Li Meng
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Liping Zhu
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoting Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yuwen Zhao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xinxiang Yan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China.,Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, China.,Parkinson's Disease Center of Beijing Institute for Brain Disorders, Beijing China.,Collaborative Innovation Center for Brain Science, Shanghai, China
| | - Jifeng Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China.,Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, China
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Tang Y, Liu B, Yang Y, Wang CM, Meng L, Tang BS, Guo JF. Identifying mild-moderate Parkinson's disease using whole-brain functional connectivity. Clin Neurophysiol 2018; 129:2507-2516. [PMID: 30347309 DOI: 10.1016/j.clinph.2018.09.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 09/01/2018] [Accepted: 09/07/2018] [Indexed: 10/28/2022]
Abstract
OBJECTIVE Our study aims to extract significant disorder-associated patterns from whole brain functional connectivity to distinguish mild-moderate Parkinson's disease (PD) patients from controls. METHODS Resting-state fMRI data were measured from thirty-six PD individuals and thirty-five healthy controls. Multivariate pattern analysis was applied to investigate whole-brain functional connectivity patterns in individuals with 'mild-moderate' PD. Additionally, the relationship between the asymmetry of functional connectivity and the side of the initial symptoms was also analyzed. RESULTS In a leave-one-out cross-validation, we got the generalization rate of 80.28% for distinguishing PD patients from controls. The most discriminative functional connectivity was found in cortical networks that included the default mode, sensorimotor and attention networks. Compared to patients with the left side initially affected, an increased abnormal functional connectivity was found in patients in whom the right side was initially affected. CONCLUSIONS Our results indicated that discriminative functional connectivity is likely associated with disturbances of cortical networks involved in sensorimotor control and attention. The spatiotemporal patterns of motor asymmetry may be related to the lateralized dysfunction on the early stages of PD. SIGNIFICANCE This study identifies discriminative functional connectivity that is associated with disturbances of cortical networks. Our results demonstrated new evidence regarding the functional brain changes related to the unilateral motor symptoms of early PD.
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Affiliation(s)
- Yan Tang
- School of Information Science and Engineering, Central South University, Changsha, Hunan 410083, China; Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008 Hunan, China
| | - Bailin Liu
- School of Basic Medical Science Central South University, Changsha, Hunan 410083, China
| | - Yuan Yang
- Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Chang-Min Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008 Hunan, China
| | - Li Meng
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, 410008 Hunan, China
| | - Bei-Sha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008 Hunan, China; National Clinical Research Center for Geriatric Medicine, Changsha, 410008 Hunan, China; State Key Laboratory of Medical Genetics, Changsha, 410008 Hunan, China
| | - Ji-Feng Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008 Hunan, China; National Clinical Research Center for Geriatric Medicine, Changsha, 410008 Hunan, China; State Key Laboratory of Medical Genetics, Changsha, 410008 Hunan, China.
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