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Lei T, Hua H, Du H, Xia J, Xu D, Liu W, Wang Y, Yang T. Molecular mechanisms of artificial light at night affecting circadian rhythm disturbance. Arch Toxicol 2024; 98:395-408. [PMID: 38103071 DOI: 10.1007/s00204-023-03647-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 11/16/2023] [Indexed: 12/17/2023]
Abstract
Artificial light at night (ALAN) pollution has been regarded as a global environmental concern. More than 80% of the global population is exposed to light pollution. Exacerbating this issue, artificially lit outdoor areas are growing by 2.2% per year, while continuously lit areas have brightened by 2.2% each year due to rapid population growth and expanding urbanization. Furthermore, the increasing prevalence of night shift work and smart device usage contributes to the inescapable influence of ALAN. Studies have shown that ALAN can disrupt endogenous biological clocks, resulting in a disturbance of the circadian rhythm, which ultimately affects various physiological functions. Up until now, scholars have studied various disease mechanisms caused by ALAN that may be related to the response of the circadian system to light. This review outlines the molecular mechanisms by which ALAN causes circadian rhythm abnormalities in sleep disorders, endocrine diseases, cardiovascular disease, cancer, immune impairment, depression, anxiety and cognitive impairments.
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Affiliation(s)
- Ting Lei
- Key Laboratory of Environmental Stress and Chronic Disease Control and Prevention (China Medical University), Ministry of Education, Shenyang, 110122, Liaoning, China
- Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Hui Hua
- Department of Nutrition, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Huiying Du
- Key Laboratory of Environmental Stress and Chronic Disease Control and Prevention (China Medical University), Ministry of Education, Shenyang, 110122, Liaoning, China
- Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Jie Xia
- Key Laboratory of Environmental Stress and Chronic Disease Control and Prevention (China Medical University), Ministry of Education, Shenyang, 110122, Liaoning, China
- Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Dandan Xu
- Key Laboratory of Environmental Stress and Chronic Disease Control and Prevention (China Medical University), Ministry of Education, Shenyang, 110122, Liaoning, China
- Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Wei Liu
- Key Laboratory of Environmental Stress and Chronic Disease Control and Prevention (China Medical University), Ministry of Education, Shenyang, 110122, Liaoning, China
- Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Yutong Wang
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China.
| | - Tianyao Yang
- Key Laboratory of Environmental Stress and Chronic Disease Control and Prevention (China Medical University), Ministry of Education, Shenyang, 110122, Liaoning, China.
- Department of Environmental Health, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China.
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De La Fontaine E, Hamel R, Lepage JF, Bernier PM. The influence of learning history on anterograde interference. Neurobiol Learn Mem 2023; 206:107866. [PMID: 37995802 DOI: 10.1016/j.nlm.2023.107866] [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: 06/09/2023] [Revised: 10/04/2023] [Accepted: 11/20/2023] [Indexed: 11/25/2023]
Abstract
Classically interpreted as a competition between opposite memories (A vs B), anterograde interference (AI) also emerges in the absence of competing memories (A vs A), suggesting that mechanisms other than those involved in memory competition contribute to AI. To investigate this, we tested the hypothesis that extending motor practice would enhance a first memory, but come at the cost of reduced learning capabilities when subsequently exposed to a second learning session of the same task. Based on converging biological evidence, AI was expected to depend upon the degree of extended practice of the initial exposure. During a first Session, four conditions were carried out where participants (n = 24) adapted to a gradually introduced -20° visual deviation while the extent of the initial exposure was manipulated by varying the duration or type of the performance asymptote. Specifically, the performance asymptote at -20° was either Short (40 trials), Moderate (160 trials), Long (320 trials), or absent due to continuously changing perturbations around the mean of -20° (Jagged; 160 trials). After a 2-min interval, participants re-adapted to the same (-20°) visual deviation, which was meant to probe the effect of extended practice in the first Session on the learning capabilities of a second identical memory (A vs A). The results first confirmed that the duration of exposure in the first Session enhanced immediate aftereffects in the Moderate, Long, and Jagged conditions as compared to the Short condition, suggesting that extended practice enhanced retention of the first memory. When comparing the second Session to the first one, results revealed a different pattern of re-adaptation depending on the duration of initial exposure: in the Short condition, there was evidence for facilitated re-adaptation and similar aftereffects. However, in the Moderate, Long and Jagged conditions, re-adaptation was similar and aftereffects were impaired, suggestive of AI. This suggests that extended practice initially enhances memory formation, but comes at the cost of reduced subsequent learning capabilities. One possibility is that AI occurs because extended practice induces the emergence of network-specific homeostatic constraints, which limit subsequent neuroplastic and learning capabilities in the same neural network.
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Affiliation(s)
- E De La Fontaine
- Département de kinanthropologie, Faculté des sciences de l'activité physique, Université de Sherbrooke
| | - R Hamel
- Département de kinanthropologie, Faculté des sciences de l'activité physique, Université de Sherbrooke; Département de pédiatrie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke
| | - J F Lepage
- Département de pédiatrie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke
| | - P M Bernier
- Département de kinanthropologie, Faculté des sciences de l'activité physique, Université de Sherbrooke.
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Deibel SH, Higdon S, Cassell TTS, House-Denine ML, Giberson E, Webb IC, Thorpe CM. Impaired Morris water task retention following T21 light dark cycle exposure is not due to reduced hippocampal c-FOS expression. Front Behav Neurosci 2022; 16:1025388. [PMID: 36311860 PMCID: PMC9596763 DOI: 10.3389/fnbeh.2022.1025388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 09/09/2022] [Indexed: 11/21/2022] Open
Abstract
Circadian rhythms influence virtually all aspects of physiology and behavior. This is problematic when circadian rhythms no longer reliably predict time. Circadian rhythm disruption can impair memory, yet we don’t know how this fully works at the systems and molecular level. When trying to determine the root of a memory impairment, assessing neuronal activation with c-FOS is useful. This has yet to be assessed in the hippocampi of circadian rhythm disrupted rats in a hippocampal gold standard task. Rats were trained on the Morris water task (MWT), then received 6 days of a 21-h day (T21), 13 days of a normal light dark cycle, probe trial, and tissue extraction an hour later. Despite having impaired memory in the probe trial, compared to controls there were no differences in c-FOS expression in hippocampal sub regions: CA1; CA3; Dentate gyrus. These data confirm others in hamsters demonstrating that arrhythmicity which produces an impairment in spontaneous alternation does not affect c-FOS in the dentate gyrus. The current study indicates that the memory impairment induced by a lighting manipulation is likely not due to attenuated neuronal activation. Determining how the master clock in the brain communicates with the hippocampus is needed to untangle the relationship between circadian rhythms and memory.
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Affiliation(s)
- Scott H. Deibel
- Department of Psychology, University of New Brunswick, Fredericton, NB, Canada
- *Correspondence: Scott H. Deibel,
| | - S. Higdon
- Department of Psychology, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - T. T. S. Cassell
- Department of Psychology, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - M. L. House-Denine
- Department of Psychology, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - E. Giberson
- Department of Psychology, University of New Brunswick, Fredericton, NB, Canada
| | - I. C. Webb
- Department of Psychology, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - C. M. Thorpe
- Department of Psychology, Memorial University of Newfoundland, St. John’s, NL, Canada
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Circadian regulation of memory under stress: Endocannabinoids matter. Neurosci Biobehav Rev 2022; 138:104712. [PMID: 35643119 DOI: 10.1016/j.neubiorev.2022.104712] [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: 02/07/2022] [Revised: 04/27/2022] [Accepted: 05/23/2022] [Indexed: 11/24/2022]
Abstract
Organisms ranging from plants to higher mammals have developed 24-hour oscillation rhythms to optimize physiology to environmental changes and regulate a plethora of neuroendocrine and behavioral processes, including neurotransmitter and hormone regulation, stress response and learning and memory function. Compelling evidence indicates that a wide array of memory processes is strongly influenced by stress- and emotional arousal-activated neurobiological systems, including the endocannabinoid system which has been extensively shown to play an integral role in mediating stress effects on memory. Here, we review findings showing how circadian rhythms and time-of-day influence stress systems and memory performance. We report evidence of circadian regulation of memory under stress, focusing on the role of the endocannabinoid system and highlighting its circadian rhythmicity. Our discussion illustrates how the endocannabinoid system mediates stress effects on memory in a circadian-dependent fashion. We suggest that endocannabinoids might regulate molecular mechanisms that control memory function under circadian and stress influence, with potential important clinical implications for both neurodevelopmental disorders and psychiatric conditions involving memory impairments.
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Hamel R, Lepage JF, Bernier PM. Anterograde interference emerges along a gradient as a function of task similarity: A behavioural study. Eur J Neurosci 2021; 55:49-66. [PMID: 34894023 PMCID: PMC9299670 DOI: 10.1111/ejn.15561] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/29/2021] [Accepted: 11/30/2021] [Indexed: 11/28/2022]
Abstract
Anterograde interference emerges when two opposite (B → A) or identical tasks (A → A) are learned in close temporal succession, suggesting that interference cannot be fully accounted for by competing memories. Informed by neurobiological evidence, this work tested the hypothesis that interference depends upon the degree of overlap between the neural networks involved in the learning of two tasks. In a fully within‐subject and counterbalanced design, participants (n = 24) took part in two learning sessions where the putative overlap between learning‐specific neural networks was behaviourally manipulated across four conditions by modifying reach direction and the effector used during gradual visuomotor adaptation. The results showed that anterograde interference emerged regardless of memory competition—that is, to a similar extent in the B → A and A → A conditions—and along a gradient as a function of the tasks' similarity. Specifically, learning under similar reaching conditions generated more anterograde interference than learning under dissimilar reaching conditions, suggesting that putatively overlapping neural networks are required to generate interference. Overall, these results indicate that competing memories are not the sole contributor to anterograde interference and suggest that overlapping neural networks between two learning sessions are required to trigger interference. One discussed possibility is that initial learning modifies the properties of its neural networks to constrain further plasticity induction and learning capabilities, therefore causing anterograde interference in a network‐dependent manner. One implication is that learning‐specific neural networks must be maximally dissociated to minimize the interfering influences of previous learning on subsequent learning.
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Affiliation(s)
- Raphaël Hamel
- Département de kinanthropologie, Faculté des sciences de l'activité physique, Université de Sherbrooke, Sherbrooke, Québec, Canada.,Département de pédiatrie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke; Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
| | - Jean-François Lepage
- Département de pédiatrie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke; Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
| | - Pierre-Michel Bernier
- Département de kinanthropologie, Faculté des sciences de l'activité physique, Université de Sherbrooke, Sherbrooke, Québec, Canada
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Lehr AB, Kumar A, Tetzlaff C, Hafting T, Fyhn M, Stöber TM. CA2 beyond social memory: Evidence for a fundamental role in hippocampal information processing. Neurosci Biobehav Rev 2021; 126:398-412. [PMID: 33775693 DOI: 10.1016/j.neubiorev.2021.03.020] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 03/16/2021] [Accepted: 03/18/2021] [Indexed: 01/16/2023]
Abstract
Hippocampal region CA2 has received increased attention due to its importance in social recognition memory. While its specific function remains to be identified, there are indications that CA2 plays a major role in a variety of situations, widely extending beyond social memory. In this targeted review, we highlight lines of research which have begun to converge on a more fundamental role for CA2 in hippocampus-dependent memory processing. We discuss recent proposals that speak to the computations CA2 may perform within the hippocampal circuit.
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Affiliation(s)
- Andrew B Lehr
- Department of Computational Neuroscience, University of Göttingen, Germany; Bernstein Center for Computational Neuroscience, University of Göttingen, Germany; Department of Computational Physiology, Simula Research Laboratory, Lysaker, Norway; Centre for Integrative Neuroplasticity, University of Oslo, Norway.
| | - Arvind Kumar
- Department of Computational Science and Technology, KTH Royal Institute of Technology, Sweden
| | - Christian Tetzlaff
- Department of Computational Neuroscience, University of Göttingen, Germany; Bernstein Center for Computational Neuroscience, University of Göttingen, Germany
| | - Torkel Hafting
- Centre for Integrative Neuroplasticity, University of Oslo, Norway; Institute of Basic Medical Sciences, University of Oslo, Norway
| | - Marianne Fyhn
- Centre for Integrative Neuroplasticity, University of Oslo, Norway; Department of Biosciences, University of Oslo, Norway
| | - Tristan M Stöber
- Department of Computational Physiology, Simula Research Laboratory, Lysaker, Norway; Centre for Integrative Neuroplasticity, University of Oslo, Norway; Department of Informatics, University of Oslo, Norway.
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