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Sasikumar DSN, Thiruselvam P, Sundararajan V, Ravindran R, Gunasekaran S, Madathil D, Kaliamurthi S, Peslherbe GH, Selvaraj G, Sudhakaran SL. Insights into dietary phytochemicals targeting Parkinson's disease key genes and pathways: A network pharmacology approach. Comput Biol Med 2024; 172:108195. [PMID: 38460310 DOI: 10.1016/j.compbiomed.2024.108195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 01/26/2024] [Accepted: 02/18/2024] [Indexed: 03/11/2024]
Abstract
Parkinson's disease (PD) is a complex neurological disease associated with the degeneration of dopaminergic neurons. Oxidative stress is a key player in instigating apoptosis in dopaminergic neurons. To improve the survival of neurons many dietary phytochemicals have gathered significant attention recently. Thus, the present study implements a comprehensive network pharmacology approach to unravel the mechanisms of action of dietary phytochemicals that benefit disease management. A literature search was performed to identify ligands (i.e., comprising dietary phytochemicals and Food and Drug Administration pre-approved PD drugs) in the PubMed database. Targets associated with selected ligands were extracted from the search tool for interactions of chemicals (STITCH) database. Then, the construction of a gene-gene interaction (GGI) network, analysis of hub-gene, functional and pathway enrichment, associated transcription factors, miRNAs, ligand-target interaction network, docking were performed using various bioinformatics tools together with molecular dynamics (MD) simulations. The database search resulted in 69 ligands and 144 unique targets. GGI and subsequent topological measures indicate histone acetyltransferase p300 (EP300), mitogen-activated protein kinase 1 (MAPK1) or extracellular signal-regulated kinase (ERK)2, and CREB-binding protein (CREBBP) as hub genes. Neurodegeneration, MAPK signaling, apoptosis, and zinc binding are key pathways and gene ontology terms. hsa-miR-5692a and SCNA gene-associated transcription factors interact with all the 3 hub genes. Ligand-target interaction (LTI) network analysis suggest rasagiline and baicalein as candidate ligands targeting MAPK1. Rasagiline and baicalein form stable complexes with the Y205, K330, and V173 residues of MAPK1. Computational molecular insights suggest that baicalein and rasagiline are promising preclinical candidates for PD management.
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Affiliation(s)
- Devi Soorya Narayana Sasikumar
- Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, TN, 632014, India
| | - Premkumar Thiruselvam
- Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, TN, 632014, India
| | - Vino Sundararajan
- Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, TN, 632014, India
| | - Radhika Ravindran
- Department of Biotechnology, Indian Institute of Technology (Madras), Chennai, TN, 600036, India
| | - Shoba Gunasekaran
- Department of Biotechnology, Dwaraka Doss Goverdhan Doss Vaishnav College, Chennai, TN, 600106, India
| | - Deepa Madathil
- Jindal Institute of Behavioral Sciences, O.P Jindal Global University, Sonipat, Haryana, 131001, India
| | - Satyavani Kaliamurthi
- Centre for Research in Molecular Modeling (CERMM), Department of Chemistry and Biochemistry, Concordia University, Loyola Campus, Montreal, QC, H4B 1R6, Canada
| | - Gilles H Peslherbe
- Centre for Research in Molecular Modeling (CERMM), Department of Chemistry and Biochemistry, Concordia University, Loyola Campus, Montreal, QC, H4B 1R6, Canada
| | - Gurudeeban Selvaraj
- Centre for Research in Molecular Modeling (CERMM), Department of Chemistry and Biochemistry, Concordia University, Loyola Campus, Montreal, QC, H4B 1R6, Canada; Bioinformatics Unit, Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS) University, Chennai, TN, 600077, India.
| | - Sajitha Lulu Sudhakaran
- Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, TN, 632014, India.
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Cesur MF, Basile A, Patil KR, Çakır T. A new metabolic model of Drosophila melanogaster and the integrative analysis of Parkinson's disease. Life Sci Alliance 2023; 6:e202201695. [PMID: 37236669 PMCID: PMC10215973 DOI: 10.26508/lsa.202201695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 05/11/2023] [Accepted: 05/12/2023] [Indexed: 05/28/2023] Open
Abstract
High conservation of the disease-associated genes between flies and humans facilitates the common use of Drosophila melanogaster to study metabolic disorders under controlled laboratory conditions. However, metabolic modeling studies are highly limited for this organism. We here report a comprehensively curated genome-scale metabolic network model of Drosophila using an orthology-based approach. The gene coverage and metabolic information of the draft model derived from a reference human model were expanded via Drosophila-specific KEGG and MetaCyc databases, with several curation steps to avoid metabolic redundancy and stoichiometric inconsistency. Furthermore, we performed literature-based curations to improve gene-reaction associations, subcellular metabolite locations, and various metabolic pathways. The performance of the resulting Drosophila model (8,230 reactions, 6,990 metabolites, and 2,388 genes), iDrosophila1 (https://github.com/SysBioGTU/iDrosophila), was assessed using flux balance analysis in comparison with the other currently available fly models leading to superior or comparable results. We also evaluated the transcriptome-based prediction capacity of iDrosophila1, where differential metabolic pathways during Parkinson's disease could be successfully elucidated. Overall, iDrosophila1 is promising to investigate system-level metabolic alterations in response to genetic and environmental perturbations.
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Affiliation(s)
- Müberra Fatma Cesur
- Systems Biology and Bioinformatics Program, Department of Bioengineering, Gebze Technical University, Kocaeli, Turkey
| | - Arianna Basile
- Medical Research Council Toxicology Unit, University of Cambridge, Cambridge, UK
| | - Kiran Raosaheb Patil
- Medical Research Council Toxicology Unit, University of Cambridge, Cambridge, UK
| | - Tunahan Çakır
- Systems Biology and Bioinformatics Program, Department of Bioengineering, Gebze Technical University, Kocaeli, Turkey
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Ay A, Alkanli N, Atli E, Gurkan H, Gulyasar T, Guler S, Sipahi T, Sut N. Investigation of Relationship Between Small Noncoding RNA (sncRNA) Expression Levels and Serum Iron, Copper, and Zinc Levels in Clinical Diagnosed Multiple Sclerosis Patients. Mol Neurobiol 2023; 60:875-883. [PMID: 36383327 DOI: 10.1007/s12035-022-03135-4] [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: 09/17/2022] [Accepted: 11/08/2022] [Indexed: 11/17/2022]
Abstract
In our study, we aimed to investigate the relationship between microRNA (miRNA) expression levels and serum iron (Fe), copper (Cu), and zinc (Zn) levels in Multiple sclerosis (MS) patients. Total RNA was isolated from peripheral venous blood containing ethylenediaminetetraacetic acid (EDTA) of MS patients and controls. Total RNA was labeled with Cy3-CTP fluorescent dye. Hybridization of samples was performed on microarray slides and arrays were scanned. Data argument and bioinformatics analysis were performed. Atomic absorption spectrophotometer method was used to measure serum Fe, Cu, and Zn levels. In our study, in bioinformatics analysis, although differently expressed miRNAs were not detected between 16 MS patients and 16 controls, hsa-miR-744-5p upregulation was detected between 4 MS patients and 4 controls. This may be stem from the patient group consisting of MS patients who have never had an attack for 1 year. Serum iron levels were detected significantly higher in the 16 MS patients compared to the 16 controls. This may be stem from the increase in iron accumulation based on inflammation in MS disease. According to the findings in our study, hsa-miR-744-5p upregulation has been determined as an early diagnostic biomarker for the development together of insulin resistance, diabetes mellitus associated with insulin signaling, and Alzheimer's diseases. Therefore, hsa-miR-744-5p is recommended as an important biomarker for the development together of diabetes mellitus, Alzheimer's disease, and MS disease. In addition, increased serum Fe levels may be suggested as an important biomarker for neurodegenerative diseases such as Parkinson's disease, Alzheimer's disease, and MS disease.
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Affiliation(s)
- Arzu Ay
- Department of Biophysics, Faculty of Medicine, Trakya University, Edirne, 22030, Turkey.
| | - Nevra Alkanli
- Department of Biophysics, Faculty of Medicine, Haliç University, Istanbul, 34060, Turkey
| | - Engin Atli
- Department of Medical Genetics, Faculty of Medicine, Trakya University, Edirne, 22030, Turkey
| | - Hakan Gurkan
- Department of Medical Genetics, Faculty of Medicine, Trakya University, Edirne, 22030, Turkey
| | - Tevfik Gulyasar
- Department of Biophysics, Faculty of Medicine, Trakya University, Edirne, 22030, Turkey
| | - Sibel Guler
- Department of Neurology, Faculty of Medicine, Trakya University, Edirne, 22030, Turkey
| | - Tammam Sipahi
- Department of Biophysics, Faculty of Medicine, Trakya University, Edirne, 22030, Turkey
| | - Necdet Sut
- Department of Biostatistics and Medical Informatics, Faculty of Medicine, Trakya University, Edirne, 22030, Turkey
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Talavera Andújar B, Aurich D, Aho VTE, Singh RR, Cheng T, Zaslavsky L, Bolton EE, Mollenhauer B, Wilmes P, Schymanski EL. Studying the Parkinson's disease metabolome and exposome in biological samples through different analytical and cheminformatics approaches: a pilot study. Anal Bioanal Chem 2022; 414:7399-7419. [PMID: 35829770 PMCID: PMC9482909 DOI: 10.1007/s00216-022-04207-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 06/14/2022] [Accepted: 06/28/2022] [Indexed: 11/28/2022]
Abstract
Parkinson’s disease (PD) is the second most prevalent neurodegenerative disease, with an increasing incidence in recent years due to the aging population. Genetic mutations alone only explain <10% of PD cases, while environmental factors, including small molecules, may play a significant role in PD. In the present work, 22 plasma (11 PD, 11 control) and 19 feces samples (10 PD, 9 control) were analyzed by non-target high-resolution mass spectrometry (NT-HRMS) coupled to two liquid chromatography (LC) methods (reversed-phase (RP) and hydrophilic interaction liquid chromatography (HILIC)). A cheminformatics workflow was optimized using open software (MS-DIAL and patRoon) and open databases (all public MSP-formatted spectral libraries for MS-DIAL, PubChemLite for Exposomics, and the LITMINEDNEURO list for patRoon). Furthermore, five disease-specific databases and three suspect lists (on PD and related disorders) were developed, using PubChem functionality to identifying relevant unknown chemicals. The results showed that non-target screening with the larger databases generally provided better results compared with smaller suspect lists. However, two suspect screening approaches with patRoon were also good options to study specific chemicals in PD. The combination of chromatographic methods (RP and HILIC) as well as two ionization modes (positive and negative) enhanced the coverage of chemicals in the biological samples. While most metabolomics studies in PD have focused on blood and cerebrospinal fluid, we found a higher number of relevant features in feces, such as alanine betaine or nicotinamide, which can be directly metabolized by gut microbiota. This highlights the potential role of gut dysbiosis in PD development.
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Affiliation(s)
- Begoña Talavera Andújar
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Avenue du Swing 6, 4367, Belvaux, Luxembourg.
| | - Dagny Aurich
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Avenue du Swing 6, 4367, Belvaux, Luxembourg
| | - Velma T E Aho
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Avenue du Swing 6, 4367, Belvaux, Luxembourg
| | - Randolph R Singh
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Avenue du Swing 6, 4367, Belvaux, Luxembourg.,IFREMER (Institut Français de Recherche Pour L'Exploitation de La Mer), Unité Contamination Chimique Des Ecosystèmes Marins, Nantes, France
| | - Tiejun Cheng
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Leonid Zaslavsky
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Evan E Bolton
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany.,Paracelsus-Elena-Klinik, Kassel, Germany
| | - Paul Wilmes
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Avenue du Swing 6, 4367, Belvaux, Luxembourg.,Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Emma L Schymanski
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Avenue du Swing 6, 4367, Belvaux, Luxembourg.
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5
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Re DB, Hilpert M, Saglimbeni B, Strait M, Ilievski V, Coady M, Talayero M, Wilmsen K, Chesnais H, Balac O, Glabonjat RA, Slavkovich V, Yan B, Graziano J, Navas-Acien A, Kleiman NJ. Exposure to e-cigarette aerosol over two months induces accumulation of neurotoxic metals and alteration of essential metals in mouse brain. ENVIRONMENTAL RESEARCH 2021; 202:111557. [PMID: 34245728 PMCID: PMC8578258 DOI: 10.1016/j.envres.2021.111557] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 06/12/2021] [Accepted: 06/17/2021] [Indexed: 05/15/2023]
Abstract
Despite a recent increase in e-cigarette use, the adverse human health effects of exposure to e-cigarette aerosol, especially on the central nervous system (CNS), remain unclear. Multiple neurotoxic metals have been identified in e-cigarette aerosol. However, it is unknown whether those metals accumulate in the CNS at biologically meaningful levels. To answer this question, two groups of mice were whole-body exposed twice a day, 5 days a week, for two months, to either a dose of e-cigarette aerosol equivalent to human secondhand exposure, or a 5-fold higher dose. After the last exposure, the olfactory bulb, anterior and posterior frontal cortex, striatum, ventral midbrain, cerebellum, brainstem, remaining brain tissue and spinal cord were collected for metal quantification by inductively coupled plasma mass spectrometry and compared to tissues from unexposed control mice. The two-month exposure caused significant accumulation of several neurotoxic metals in various brain areas - for some metals even at the low exposure dose. The most striking increases were measured in the striatum. For several metals, including Cr, Cu, Fe, Mn, and Pb, similar accumulations are known to be neurotoxic in mice. Decreases in some essential metals were observed across the CNS. Our findings suggest that chronic exposure to e-cigarette aerosol could lead to CNS neurotoxic metal deposition and endogenous metal dyshomeostasis, including potential neurotoxicity. We conclude that e-cigarette-mediated metal neurotoxicity may pose long-term neurotoxic and neurodegenerative risks for e-cigarette users and bystanders.
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Affiliation(s)
- Diane B Re
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA; Center for Motor Neuron Biology and Disease, Columbia University, New York, NY, 10032, USA.
| | - Markus Hilpert
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA.
| | - Brianna Saglimbeni
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA; Center for Motor Neuron Biology and Disease, Columbia University, New York, NY, 10032, USA
| | - Madeleine Strait
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA; Center for Motor Neuron Biology and Disease, Columbia University, New York, NY, 10032, USA
| | - Vesna Ilievski
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA
| | - Maxine Coady
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; Master in Public Health Program, Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Maria Talayero
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA
| | - Kai Wilmsen
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; Master in Public Health Program, Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Helene Chesnais
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA
| | - Olgica Balac
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA
| | - Ronald A Glabonjat
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA
| | - Vesna Slavkovich
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA
| | - Beizhan Yan
- NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA; Lamont-Doherty Earth Observatory, Geochemistry Department, 203 Comer, 61 Route 9W - PO Box 1000, Palisades, NY, 10964-8000, USA
| | - Joseph Graziano
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA
| | - Norman J Kleiman
- Department of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA; NIEHS Center for Environmental Health in Northern Manhattan, Columbia University, New York, NY, 10032, USA.
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Bisi N, Feni L, Peqini K, Pérez-Peña H, Ongeri S, Pieraccini S, Pellegrino S. α-Synuclein: An All-Inclusive Trip Around its Structure, Influencing Factors and Applied Techniques. Front Chem 2021; 9:666585. [PMID: 34307295 PMCID: PMC8292672 DOI: 10.3389/fchem.2021.666585] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 06/02/2021] [Indexed: 12/15/2022] Open
Abstract
Alpha-synuclein (αSyn) is a highly expressed and conserved protein, typically found in the presynaptic terminals of neurons. The misfolding and aggregation of αSyn into amyloid fibrils is a pathogenic hallmark of several neurodegenerative diseases called synucleinopathies, such as Parkinson’s disease. Since αSyn is an Intrinsically Disordered Protein, the characterization of its structure remains very challenging. Moreover, the mechanisms by which the structural conversion of monomeric αSyn into oligomers and finally into fibrils takes place is still far to be completely understood. Over the years, various studies have provided insights into the possible pathways that αSyn could follow to misfold and acquire oligomeric and fibrillar forms. In addition, it has been observed that αSyn structure can be influenced by different parameters, such as mutations in its sequence, the biological environment (e.g., lipids, endogenous small molecules and proteins), the interaction with exogenous compounds (e.g., drugs, diet components, heavy metals). Herein, we review the structural features of αSyn (wild-type and disease-mutated) that have been elucidated up to present by both experimental and computational techniques in different environmental and biological conditions. We believe that this gathering of current knowledge will further facilitate studies on αSyn, helping the planning of future experiments on the interactions of this protein with targeting molecules especially taking into consideration the environmental conditions.
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Affiliation(s)
- Nicolò Bisi
- BioCIS, CNRS, Université Paris Saclay, Châtenay-Malabry Cedex, France
| | - Lucia Feni
- DISFARM-Dipartimento di Scienze Farmaceutiche, Sezione Chimica Generale e Organica "A. Marchesini", Università degli Studi di Milano, Milan, Italy
| | - Kaliroi Peqini
- DISFARM-Dipartimento di Scienze Farmaceutiche, Sezione Chimica Generale e Organica "A. Marchesini", Università degli Studi di Milano, Milan, Italy
| | - Helena Pérez-Peña
- Dipartimento di Chimica, Università degli Studi di Milano, Milan, Italy
| | - Sandrine Ongeri
- BioCIS, CNRS, Université Paris Saclay, Châtenay-Malabry Cedex, France
| | | | - Sara Pellegrino
- DISFARM-Dipartimento di Scienze Farmaceutiche, Sezione Chimica Generale e Organica "A. Marchesini", Università degli Studi di Milano, Milan, Italy
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Capucciati A, Zucca FA, Monzani E, Zecca L, Casella L, Hofer T. Interaction of Neuromelanin with Xenobiotics and Consequences for Neurodegeneration; Promising Experimental Models. Antioxidants (Basel) 2021; 10:antiox10060824. [PMID: 34064062 PMCID: PMC8224073 DOI: 10.3390/antiox10060824] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 05/14/2021] [Accepted: 05/18/2021] [Indexed: 01/14/2023] Open
Abstract
Neuromelanin (NM) accumulates in catecholamine long-lived brain neurons that are lost in neurodegenerative diseases. NM is a complex substance made of melanic, peptide and lipid components. NM formation is a natural protective process since toxic endogenous metabolites are removed during its formation and as it binds excess metals and xenobiotics. However, disturbances of NM synthesis and function could be toxic. Here, we review recent knowledge on NM formation, toxic mechanisms involving NM, go over NM binding substances and suggest experimental models that can help identifying xenobiotic modulators of NM formation or function. Given the high likelihood of a central NM role in age-related human neurodegenerative diseases such as Parkinson’s and Alzheimer’s, resembling such diseases using animal models that do not form NM to a high degree, e.g., mice or rats, may not be optimal. Rather, use of animal models (i.e., sheep and goats) that better resemble human brain aging in terms of NM formation, as well as using human NM forming stem cellbased in vitro (e.g., mid-brain organoids) models can be more suitable. Toxicants could also be identified during chemical synthesis of NM in the test tube.
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Affiliation(s)
- Andrea Capucciati
- Department of Chemistry, University of Pavia, 27100 Pavia, Italy; (A.C.); (E.M.); (L.C.)
| | - Fabio A. Zucca
- Institute of Biomedical Technologies, National Research Council of Italy, Segrate, 20054 Milan, Italy; (F.A.Z.); (L.Z.)
| | - Enrico Monzani
- Department of Chemistry, University of Pavia, 27100 Pavia, Italy; (A.C.); (E.M.); (L.C.)
| | - Luigi Zecca
- Institute of Biomedical Technologies, National Research Council of Italy, Segrate, 20054 Milan, Italy; (F.A.Z.); (L.Z.)
| | - Luigi Casella
- Department of Chemistry, University of Pavia, 27100 Pavia, Italy; (A.C.); (E.M.); (L.C.)
| | - Tim Hofer
- Department of Environmental Health, Norwegian Institute of Public Health, P.O. Box 222 Skøyen, N-0213 Oslo, Norway
- Correspondence: ; Tel.: +47-21076671
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Peng D, Li J, Deng Y, Zhu X, Zhao L, Zhang Y, Li Z, Ou S, Li S, Jiang Y. Sodium para-aminosalicylic acid inhibits manganese-induced NLRP3 inflammasome-dependent pyroptosis by inhibiting NF-κB pathway activation and oxidative stress. J Neuroinflammation 2020; 17:343. [PMID: 33203418 PMCID: PMC7670624 DOI: 10.1186/s12974-020-02018-6] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 10/29/2020] [Indexed: 12/11/2022] Open
Abstract
Background The activation of NOD-like receptor protein 3 (NLRP3) inflammasome-dependent pyroptosis has been shown to play a vital role in the pathology of manganese (Mn)-induced neurotoxicity. Sodium para-aminosalicylic acid (PAS-Na) has a positive effect on the treatment of manganism. However, the mechanism is still unclear. We hypothesized that PAS-Na might act through NLRP3. Methods The microglial cell line BV2 and male Sprague-Dawley rats were used to investigate the impacts of PAS-Na on Mn-induced NLRP3 inflammasome-dependent pyroptosis. The related protein of the NF-κB pathway and NLRP3-inflammasome-dependent pyroptosis was detected by western blot. The reactive oxygen species and mitochondrial membrane potential were detected by immunofluorescence staining and flow cytometry. The activation of microglia and the gasdermin D (GSDMD) were detected by immunofluorescence staining. Results Our results showed that Mn treatment induced oxidative stress and activated the NF-κB pathway by increasing the phosphorylation of p65 and IkB-α in BV2 cells and in the basal ganglia of rats. PAS-Na could alleviate Mn-induced oxidative stress damage by inhibiting ROS generation, increasing mitochondrial membrane potential and ATP levels, thereby reducing the phosphorylation of p65 and IkB-α. Besides, Mn treatment could activate the NLRP3 pathway and promote the secretion of IL-18 and IL-1β, mediating pyroptosis in BV2 cells and in the basal ganglia and hippocampus of rats. But an inhibitor of NF-κb (JSH-23) treatment could significantly reduce LDH release, the expression of NLRP3 and Cleaved CASP1 protein and IL-1β and IL-18 mRNA level in BV2 cells. Interestingly, the effect of PAS-Na treatment in Mn-treated BV2 cells is similar to those of JSH-23. Besides, immunofluorescence results showed that PAS-Na reduced the increase number of activated microglia, which stained positively for GSDMD. Conclusion PAS-Na antagonized Mn-induced NLRP3 inflammasome dependent pyroptosis through inhibiting NF-κB pathway activation and oxidative stress. Supplementary Information The online version contains supplementary material available at 10.1186/s12974-020-02018-6.
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Affiliation(s)
- Dongjie Peng
- Department of Toxicology, School of Public Health, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China.,Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China
| | - Junyan Li
- Department of Toxicology, School of Public Health, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China.,Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China
| | - Yue Deng
- Department of Toxicology, School of Public Health, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China.,Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China
| | - Xiaojuan Zhu
- Department of Toxicology, School of Public Health, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China.,Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China
| | - Lin Zhao
- Department of Toxicology, School of Public Health, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China.,Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China
| | - Yuwen Zhang
- Department of Toxicology, School of Public Health, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China.,Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China
| | - Zhaocong Li
- Department of Toxicology, School of Public Health, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China.,Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China
| | - Shiyan Ou
- Department of Toxicology, School of Public Health, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China.,Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China
| | - Shaojun Li
- Department of Toxicology, School of Public Health, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China. .,Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China.
| | - Yueming Jiang
- Department of Toxicology, School of Public Health, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China. .,Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Shuang-yong Road No.22, Nanning, 530021, Guangxi, China.
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Bjørklund G, Peana M, Maes M, Dadar M, Severin B. The glutathione system in Parkinson's disease and its progression. Neurosci Biobehav Rev 2020; 120:470-478. [PMID: 33068556 DOI: 10.1016/j.neubiorev.2020.10.004] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 09/25/2020] [Accepted: 10/05/2020] [Indexed: 02/07/2023]
Abstract
Redox dysfunctions and neuro-oxidative stress play a major role in the pathophysiology and progression of Parkinson's disease (PD). Glutathione (GSH) and the reduced/oxidized glutathione (GSH/GSSG) ratio are lowered in oxidative stress conditions and may lead to increased oxidative toxicity. GSH is involved not only in neuro-immune and neuro-oxidative processes, including thiol redox signaling, but also in cell proliferation and differentiation and in the regulation of cell death, including apoptotic pathways. Lowered GSH metabolism and a low GSH/GSSG ratio following oxidative stress are associated with mitochondrial dysfunctions and constitute a critical factor in the neuroinflammatory and neurodegenerative processes accompanying PD. This review provides indirect evidence that GSH redox signaling is associated with the pathophysiology of PD. Nevertheless, it has not been delineated whether GSH redox imbalances are a causative factor in PD or whether PD-associated pathways cause the GSH redox imbalances in PD. The results show that antioxidant approaches, including neuroprotective and anti-neuroinflammatory agents, which neutralize reactive oxygen species, may have therapeutic efficacy in the treatment of PD and its progression.
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Affiliation(s)
- Geir Bjørklund
- Council for Nutritional and Environmental Medicine (CONEM), Mo i Rana, Norway.
| | | | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Impact Research Center, Deakin University, Geelong, Australia
| | - Maryam Dadar
- Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Beatrice Severin
- Faculty of Medicine, Ovidius University of Constanta, Constanta, Romania
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