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Cardinale A, de Iure A, Picconi B. Neuroinflammation and Dyskinesia: A Possible Causative Relationship? Brain Sci 2024; 14:514. [PMID: 38790492 PMCID: PMC11118841 DOI: 10.3390/brainsci14050514] [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: 03/25/2024] [Revised: 05/14/2024] [Accepted: 05/18/2024] [Indexed: 05/26/2024] Open
Abstract
Levodopa (L-DOPA) treatment represents the gold standard therapy for Parkinson's disease (PD) patients. L-DOPA therapy shows many side effects, among them, L-DOPA-induced dyskinesias (LIDs) remain the most problematic. Several are the mechanisms underlying these processes: abnormal corticostriatal neurotransmission, pre- and post-synaptic neuronal events, changes in gene expression, and altered plasticity. In recent years, researchers have also suggested non-neuronal mechanisms as a possible cause for LIDs. We reviewed recent clinical and pre-clinical studies on neuroinflammation contribution to LIDs. Microglia and astrocytes seem to play a strategic role in LIDs phenomenon. In particular, their inflammatory response affects neuron-glia communication, synaptic activity and neuroplasticity, contributing to LIDs development. Finally, we describe possible new therapeutic interventions for dyskinesia prevention targeting glia cells.
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Affiliation(s)
- Antonella Cardinale
- Experimental Neurophysiology Laboratory, IRCCS San Raffaele Roma, 00166 Rome, Italy; (A.C.); (A.d.I.)
- Department of Human Sciences and Quality of Life Promotion, Università Telematica San Raffaele, 00166 Rome, Italy
| | - Antonio de Iure
- Experimental Neurophysiology Laboratory, IRCCS San Raffaele Roma, 00166 Rome, Italy; (A.C.); (A.d.I.)
- Department of Human Sciences and Quality of Life Promotion, Università Telematica San Raffaele, 00166 Rome, Italy
| | - Barbara Picconi
- Experimental Neurophysiology Laboratory, IRCCS San Raffaele Roma, 00166 Rome, Italy; (A.C.); (A.d.I.)
- Department of Human Sciences and Quality of Life Promotion, Università Telematica San Raffaele, 00166 Rome, Italy
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Cubello J, Marvin E, Conrad K, Merrill AK, George JV, Welle K, Jackson BP, Chalupa D, Oberdörster G, Sobolewski M, Cory-Slechta DA. The contributions of neonatal inhalation of copper to air pollution-induced neurodevelopmental outcomes in mice. Neurotoxicology 2024; 100:55-71. [PMID: 38081392 PMCID: PMC10842733 DOI: 10.1016/j.neuro.2023.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 12/17/2023]
Abstract
Exposures to ambient ultrafine particle (UFP) air pollution (AP) during the early postnatal period in mice (equivalent to human third trimester brain development) produce male-biased changes in brain structure, including ventriculomegaly, reduced brain myelination, alterations in neurotransmitters and glial activation, as well as impulsive-like behavioral characteristics, all of which are also features characteristic of male-biased neurodevelopmental disorders (NDDs). The purpose of this study was to ascertain the extent to which inhaled Cu, a common contaminant of AP that is also dysregulated across multiple NDDs, might contribute to these phenotypes. For this purpose, C57BL/6J mice were exposed from postnatal days 4-7 and 10-13 for 4 hr/day to inhaled copper oxide (CuxOy) nanoparticles at an environmentally relevant concentration averaging 171.9 ng/m3. Changes in brain metal homeostasis and neurotransmitter levels were determined following termination of exposure (postnatal day 14), while behavioral changes were assessed in adulthood. CuxOy inhalation modified cortical metal homeostasis and produced male-biased disruption of striatal neurotransmitters, with marked increases in dopaminergic function, as well as excitatory/inhibitory imbalance and reductions in serotonergic function. Impulsive-like behaviors in a fixed ratio (FR) waiting-for-reward schedule and a fixed interval (FI) schedule of food reward occurred in both sexes, but more prominently in males, effects which could not be attributed to altered locomotor activity or short-term memory. Inhaled Cu as from AP exposures, at environmentally relevant levels experienced during development, may contribute to impaired brain function, as shown by its ability to disrupt brain metal homeostasis and striatal neurotransmission. In addition, its ability to evoke impulsive-like behavior, particularly in male offspring, may be related to striatal dopaminergic dysfunction that is known to mediate such behaviors. As such, regulation of air Cu levels may be protective of public health.
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Affiliation(s)
- Janine Cubello
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA.
| | - Elena Marvin
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Katherine Conrad
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Alyssa K Merrill
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Jithin V George
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Kevin Welle
- Proteomics Core, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Brian P Jackson
- Department of Earth Sciences, Dartmouth College, Hanover, NH 03755, USA
| | - David Chalupa
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Günter Oberdörster
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Marissa Sobolewski
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Deborah A Cory-Slechta
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA.
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Hingorani M, Viviani AML, Sanfilippo JE, Janušonis S. High-resolution spatiotemporal analysis of single serotonergic axons in an in vitro system. Front Neurosci 2022; 16:994735. [PMID: 36353595 PMCID: PMC9638127 DOI: 10.3389/fnins.2022.994735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 09/28/2022] [Indexed: 12/04/2022] Open
Abstract
Vertebrate brains have a dual structure, composed of (i) axons that can be well-captured with graph-theoretical methods and (ii) axons that form a dense matrix in which neurons with precise connections operate. A core part of this matrix is formed by axons (fibers) that store and release 5-hydroxytryptamine (5-HT, serotonin), an ancient neurotransmitter that supports neuroplasticity and has profound implications for mental health. The self-organization of the serotonergic matrix is not well understood, despite recent advances in experimental and theoretical approaches. In particular, individual serotonergic axons produce highly stochastic trajectories, fundamental to the construction of regional fiber densities, but further advances in predictive computer simulations require more accurate experimental information. This study examined single serotonergic axons in culture systems (co-cultures and monolayers), by using a set of complementary high-resolution methods: confocal microscopy, holotomography (refractive index-based live imaging), and super-resolution (STED) microscopy. It shows that serotonergic axon walks in neural tissue may strongly reflect the stochastic geometry of this tissue and it also provides new insights into the morphology and branching properties of serotonergic axons. The proposed experimental platform can support next-generation analyses of the serotonergic matrix, including seamless integration with supercomputing approaches.
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