Sedentary Lifestyle and Masticatory Dysfunction: History
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Unhealthy brain aging and cognitive decline associate with a sedentary lifestyle and, at a cellular level, this is accompanied by astrocyte hypertrophy, myelin dysregulation, neurovascular dysfunction and the impairment of neurogenesis.

  • mastication
  • environment
  • aging
  • cognitive decline
  • astrocyte morphometry
  • dentate gyrus

1. Introduction

Unhealthy brain aging and cognitive decline associate with a sedentary lifestyle and, at a cellular level, this is accompanied by astrocyte hypertrophy, myelin dysregulation, neurovascular dysfunction [1] and the impairment of neurogenesis [2]. Highly sedentary humans (≥8 h/day) display reduced hippocampal volumes and increased white matter (WM) hyperintensities [3][4] that are associated with accelerated cognitive, neuropsychiatric and functional decline [5]. In addition to the changes associated with a sedentary life, it has become clear that oral dysfunction is present in the same individuals and that this group feature is also associated with dementia or mild cognitive decline [6][7][8][9][10][11][12][13]. While it is not clear whether poor oral health predicts dementia, substantial data suggests that oral health declines as cognitive impairment and dementia progresses [7][12][14][15][16]. Furthermore, it has been demonstrated that masticatory exercise improves cognitive function in older adults [17] and thus the link between cognitive decline and masticatory dysfunction is now clear [8][18][19][20][21][22]. As loss of masticatory activity [8][11][12][13][18][19][20][21][22] and sedentary life style [23][24] are risk factors for age-related cognitive decline, there is a need to focus attention on those sub-populations that experience greater oral health deterioration or impairment of the stomatognathic system, and those having living sedentary lives.
Several experimental models of masticatory dysfunction have been explored to clarify the cellular and molecular mechanisms associated with memory impairment [25][26][27]. From these studies, it can be learned that chewing maintains hippocampus-dependent cognitive function [18], and that age-related spatial memory deficits can be aggravated by a sedentary lifestyle and a reduction in masticatory activity [26][28][29][30][31]. In agreement with the findings described above, oral rehabilitation and environmental enrichment act in concert to restore spatial memory decline in aged mice [31]. In rat models of occlusal disharmony, amyloid-β is increased in the hippocampus and this was also associated with cognitive dysfunction [32][33]. Studies in similar mouse models of occlusal disharmony report significant increases in the expression of interleukin-1β in the brain, which was later accompanied by the appearance of amyloid-β and hyperphosphorylated tau in the hippocampus, and the induction of learning and memory deficits [34].
At the cellular level, cognitive decline has been linked to neuroinflammation via the enhanced activation of astrocytes, oligodendrocytes, and microglia [35][36][37] and these events are underscored by the presence of specific molecular signatures in the aging brain [38][39][40].
As a function of environmental stimuli [41][42], age [43][44], or the presence of other pathology [45][46][47], astrocytes differentially respond to changes in the microenvironment of the brain, in both form and function [48][49]. For example, physical exercise induces astrocyte proliferation and morphological changes, which alters the interplay between astrocytes, microglia and neurons to enhance neuroplasticity [23][50][51][52]. A distinctive pattern of gene expression is also induced in regions of the brain that are activated by exercise [53]. An enriched environment also induces neuroplastic changes in the dorsoventral hippocampal regions [54][55], increasing BDNF levels, p-AKT and p-MAPK1/2 and preventing neuroplastic decline by increasing the formation of dendritic spines and new neurons [24].
In rodent models of dysfunctional mastication, induced either by tooth loss, raised bite or soft diet, cognitive decline is associated with differential effects on astrocytes in different areas and different layers within the same greater brain region [56][57][58][59]. Indeed, five transcriptionally distinct astrocyte subtypes have been found in the mouse hippocampus [60][61]. In aged brains, previous transcriptomic analysis has revealed that there is upregulation of reactive astrocyte genes [62], which includes the expression of genes for neuroinflammation, synapse elimination pathways, and decreased cholesterol synthesis enzymes [63]. These changes were accompanied by an increase of A1 reactive astrocytes, which are argued to release a neurotoxic factor that induces neuronal death and cognitive decline [62]. In addition, dysregulated astrocytes and astrogliosis with an increased expression of GFAP and cellular hypertrophy [64] have been shown to be associated with impaired memory function in late life [65].
From optogenetics and chemogenetics studies, in which astrocytes can be selectively manipulated, emergent data has provided evidence that astrocytes directly participate in cognition [66][67][68][69], and other behavioral functions, including sensorimotor behaviours [70][71], sleep [72], feeding [73], fear and anxiety [74][75], and this is associated with regulation of synapses and circuits (see [76][77] for recent reviews).

2. Running, Experiencing Novelty, and Mastication to Learn Faster, Better Remember, and Enhance Individual Ethological Behavior

It is well known that long-term voluntary running improves learning and memory, by enchancing the strength of neuronal connections, through synaptic plasticity in the hippocampus [78][79], and increasing neurogenesis [55][80]. Continuous voluntary wheel running exercise also contributes to astrogenesis and the repopulation of microglia [81]. The voluntary running-enhanced plasticity seems to be mediated by the Notch1 signaling pathway [82] and brain-specific angiogenesis inhibitor 1 (BAI1) [83]. In the absence of exercise, short-term [84] and lifelong environmental enrichment are able to improve memory and postpone age-related cognitive decline [85]; but for rodents enriched cages usually combine elements for physical exercise and cognitive stimuli. Indeed, running wheel, toys, tunnels, bridges, ropes, stairs, which are replaced or displaced from time to time (1 or 2 weeks) [86][87], encourage locomotor and exploratory activity in these cages, whereas the absence of these elements in standard laboratory cages do not.
The elements inside enriched cages provide novelty, visuo-spatial and somatomotor stimuli and social interaction, but the stimuli for neurogenesis and the release of neurotrophins originate from voluntary exercise [88]. Comparative effects of the elements provided by an enriched environment have enabled the disentanglement of the influence of novelty, social and physical activity and behavioral performance in hippocampal-dependent tasks. Indeed, well designed comparative studies demonstrated that running stimulates hippocampal neurogenesis, while a complex environment does not. A complex environment, and not running, increases depolarization-associated c-fos expression and reduces plasma corticosterone [89]. However, the combination of cognitive stimuli, social interaction, and physical exercise was found to be the most effective way to reduce neuropathological outcomes in a transgenic mouse model of cerebral amyloid angiopathy [90].
Innate behavioral and physiological programs ensure survival and must be flexible enough to cope with environmental changes and build adaptive responses [91][92]. The impoverished environment of standard laboratory housing is associated with reduced display of species typical behaviors, whereas enriched cages seem to enhance ethological natural behaviors and increase individualized behavior in mice [55][93]. Hiding behavior is a good example of the innate repertoire to avoid attack and predation and this is a species-specific response that may explain the tendency of a mouse to avoid open/lit areas and to spontaneously explore unfamiliar areas [94]. In an open arena, for example, this mouse behavior is readily recognized as a preference for the safety of the peripheral zone of the open field [95]. Another innate typical behavior is related to the detection and exploration of novelty. In general terms, novelty is defined as a new event with which partial or no previous experience has occurred [96], being classified respectively as contextual/spatial novelty or stimulus novelty [97]. Enriched cages provide periodic inanimate object novelty and complexity through alterations in the physical and social environment, and these elements enhance sensory, cognitive and physical stimulation [98]. Similarly, an enriched environment enhances spatial learning, reversal learning and memory through the balance of excitatory and inhibitory synaptic densities [99]. The exploration of novelty related to a social stimulus or object recognition in rodents is known to activate different neural circuits [96], which appear to be an evolutionary adaptive response to provide parallel processing for novelty.
Oral and cognitive health are interconnected [100] and the recovery of masticatory activity can prevent cognitive decline [101][102][103]. The use of dental human prostheses successfully reduces cognitive consequences of masticatory dysfunction [104]. In animal studies, the relation between decrease in masticatory activity, due to a soft diet [28][30][105] or tooth loss [106], and memory impairment have been previously demonstrated [107]. Similarly, occlusal disharmony induces spatial memory impairment [29][106][108][109][110] and chronic stress [111][112][113]. Coherently, mastication activity, as a stress-coping behavior [114], is associated with activation of the hypothalamic-pituitary-adrenal (HPA) axis and hippocampus [115].
Mice housed in standard cages have reduced physical fitness and impaired thermoregulation, which leads to decreased ethological behavior and welfare [116]. In addition, long-term powdered diet increases the spontaneous locomotor activity of mice and their social interaction or impulsive and anxiety-like behaviors in elevated-plus-maze tasks [117]. These changes are associated with significant modifications in dopaminergic/noradrenergic systems and γ-aminobutyric acid-ergic (GABAergic) mediations in the frontal cortex [118]. In contrast, chewing prevents stress-induced hippocampal long-term depression (LTD) formation and anxiety-related behaviors, while ameliorating stress-induced suppression of hippocampal long-term potentiation (LTP) [119] via histamine H1 receptor [119]. Indeed, gene expression after weaning varies as a function of soft (reduced masticatory activity) or chow (normal masticatory activity) diets. Here, gene ontology analysis of differential expression in the thalamus showed that glutamate decarboxylase, GABA receptors and the vesicular GABA transporter were upregulated in the chow diet group, whereas dendritic spine morphogenesis was downregulated, with a significant reduction in the number of spines at the ventral posterolateral and posteromedial nucleus [120].
The hypothalamic paraventricular nucleus (PVN), a high order integration center between the neuroendocrine and autonomic nervous systems, is affected by chewing, which reduces the number of corticotropin releasing factor positive cells inhibiting the autonomic releasing of adrenaline and noradrenaline via locus coeruleus [120].

3. Enriched Environment and Masticatory Rehabilitation to Prevent Synaptic Dysfunction Associated with Age-Related Cognitive Decline

In animal models all the approaches that have been used to induce masticatory dysfunction (soft diet feeding, molar extraction and bite raising) are associated with impairment of spatial learning and memory, a reduction of the number of hippocampal pyramidal neurons, the downregulation of brain derived neurotrophic factor, decreased synaptic activity, impaired neurogenesis in dentate gyrus and increased glial cell proliferation, which seem to be dose-dependent through the reduction of chewing-related stimuli (see [27][121] for systematic reviews).
The synaptic changes in form, function, and plasticity associated with learning and memory formation are interrelated in the hippocampus [122][123][124]. As the hippocampal circuits mature, the establishment of synaptic reinforcement occurs in association with lasting structural changes and long-term potentiation (LTP). The intense synaptogenesis in the developmental period is replaced by an increase and clustering of mature synapses [125] and these synaptic rearrangements are selective and strengthen the circuits related to the task being learned [126].
Functional magnetic resonance imaging studies have shown that when a comparison of the activity in the hippocampal subfields is made, the dentate gyrus (DG) is more active than the horn of Amon (CA1-CA2-CA3) and the subiculum, and that in both the coding process and information retrieval, the rostral (septal) pole is more active than the caudal (temporal) pole [127]. In fact, adult rats trained to remember the spatial location of an object, exhibited remodeling of synapses 6 h later in the molecular layer of the dorsal DG (septal) (DG-Mol) [128].
The entorhinal-to-dentate gyrus pathway is involved in memory formation carrying spatial and non-spatial information through the medial and lateral perforant excitatory pathways onto granule cells [129][130]. Astrocytes sense local synaptic transmission in the molecular layer of the dentate gyrus and control these inputs to the dentate granule cells at the presynaptic level [131][132][133].
Evidence has now emerged in rodents that the astrocyte is an essential mediator of learning and memory [133] and that astrocytic ephrin-B1 controls synapse formation in the hippocampus during learning and memory by regulating new dendritic spine formation and clustering on hippocampal neurons activated during memory recall [134]. Astrocytic processes encapsulate synapses allowing bidirectional communication with neurons [134] through G-protein-coupled receptors influencing learning and memory [135]. The activation of hippocampal astrocytes enhances synaptic potentiation and memory acquisition [66][136][137].

4. Dentate Gyrus Astrocytes, Long Life Sedentary Lifestyle and Dysfunctional Mastication

It is known that physical exercise promotes morphological changes in astrocytes, and astrocytes may contribute to episodic memory function [42][138]. Astrocytic activation is necessary for synaptic plasticity and is sufficient to induce NMDA-dependent long-term potentiation in the hippocampus in a task-specific way, coupled with learning [136].
In general, astrocyte arbors with the greater complexity phenotype (AST1) from an enriched environment, independent of masticatory regimen or age, showed thinner and more ramified branches than astrocytes from mice raised in an impoverished environment. This effect, however, is not readily recognized in astrocytes with the lower complexity phenotype (AST2). Thus, AST1 and AST2 morphological complexities are diversely affected by environment, aging and masticatory dysfunction, suggesting that astrocyte morphology does not respond linearly to these influences and that these morphotypes may have differential physiological roles.
Astro-glial morphological atrophy and loss of function seem to be part of neuropathological changes of the aging brain [139], and astrosenescence is characterized by loss of function and neuroinflammation, which seem to be central components to the mechanisms of age-related neurodegenerative disorders [35]. Astrocyte senescence is associated with an increased expression of glial fibrillary acid protein and vimentin [140], and aged astrocytes are associated with the releasing of chemokines, cytokines, and proteases [63][141]. Morphological [86] and metabolic astrocyte changes [142] also emerge as aging progresses and these changes can be aggravated by a sedentary lifestyle and masticatory dysregulation [30][31][143][144][145].
It has been suggested that astrocytes exhibit two main phenotypes associated with a proliferative profile surrounding areas of damaged tissues and a non-proliferative, but reactive, profile retaining basic structural organization and cell interactions in intact tissues [146]. All reconstructed astrocytes previously described [59] retained basic structural organization in intact tissue, suggesting that AST1 and AST2 phenotypes are indeed subtypes of a non-proliferative, reactive profile.

5. Differential Effects of Sedentary Lifestyle and Masticatory Dysfunction on Dorsal/Ventral Dentate Gyrus Morphological Phenotypes

Although dorsal and ventral hippocampal regions show similar laminar and cellular organization, their connectivity to other brain regions are different [147][148][149][150][151]. They exhibit differential rates of neurogenesis and each displays a distinct pattern of neurotransmitter receptor distribution [152][153][154]. In addition, the septal/temporal divisions of the hippocampus exhibit significant differences in behavior-induced arc gene expression [155], distinct transcriptional and epigenetic effects in response to an enriched environment or physical activity [82][156], and distinct pathological responses throughout aging [157]. The dorsal hippocampus is associated with spatial memory and contextual information processing, while the ventral hippocampus is related to emotional behavior in association with fear, anxiety, and reward processing [158][159][160]. For example, small lesions in either the dorsal or ventral hippocampus generate distinct behavioral impairments in working memory and reference memory retrieval [161] and normal or abnormal neurogenesis along the septal/temporal hippocampal regions, which may be connected to mental health, neurological diseases [162][163] or affective disorders [164].
A previous report, limited to search for age influence on morphological complexity of GFAP astrocytes, demonstrated remarkable heterogeneity in the age-related changes in distinct subfields and along the dorsoventral axis of the hippocampus and in the entorhinal cortex of C57Bl6 mice [157]. These authors found that compared to 6-month-old mice the number of intersections, as a function of soma distance, increased significantly in dorsal dentate gyrus of 14-month-old mice, and the total sum of intersections, the number of processes and the total branch length followed a similar tendency, but no changes were observed in the ventral dentate gyrus.
Recently [165], cyclic multiplex fluorescent immunohistochemistry was used to classify astrocytes morphologically in normal aging and Alzheimer’s Disease, and showed three main phenotypes of astrocytes: homeostatic, intermediate, and reactive. Reactive astrocytes and, to a lesser extent, intermediate astrocytes were associated with Alzheimer’s disease pathology. The intermediate astrocytes were suggested to represent a transitional state between reactive and homeostatic or to represent a resilience mechanism. These authors concluded that the classic binary “homeostatic vs. reactive” classification for astrocytes, but also relevant to microglia, may now include a third state that may represent gain or loss of function. Nevertheless, recent literature points out that astrocytes are heterogeneous and dynamic phenotypes with timing- and context-dependent states [74][146][166].

This entry is adapted from the peer-reviewed paper 10.3390/ijms23116342

References

  1. Latimer, C.S.; Searcy, J.L.; Bridges, M.T.; Brewer, L.D.; Popović, J.; Blalock, E.M.; Landfield, P.W.; Thibault, O.; Porter, N.M. Reversal of glial and neurovascular markers of unhealthy brain aging by exercise in middle-aged female mice. PLoS ONE 2011, 6, e26812.
  2. Nishijima, T.; Llorens-Martín, M.; Tejeda, G.S.; Inoue, K.; Yamamura, Y.; Soya, H.; Trejo, J.L.; Torres-Alemán, I. Cessation of voluntary wheel running Increases anxiety-like behavior and impairs adult hippocampal neurogenesis in mice. Behav. Brain Res. 2013, 245, 34–41.
  3. Maasakkers, C.M.; Claassen, J.A.H.R.; Gardiner, P.A.; Olde Rikkert, M.G.M.; Lipnicki, D.M.; Scarmeas, N.; Dardiotis, E.; Yannakoulia, M.; Anstey, K.J.; Cherbuin, N.; et al. The Association of Sedentary Behaviour and Cognitive Function in People Without Dementia: A Coordinated Analysis Across Five Cohort Studies from COSMIC. Sports Med. 2020, 50, 403–413.
  4. Maasakkers, C.M.; Thijssen, D.H.; Knight, S.P.; Newman, L.; O’Connor, J.D.; Scarlett, S.; Carey, D.; Buckley, A.; McMorrow, J.P.; Leidhin, C.N.; et al. Hemodynamic and structural brain measures in high and low sedentary older adults. J. Cereb. Blood Flow Metab. 2021, 41, 2607–2616.
  5. Puzo, C.; Labriola, C.; Sugarman, M.A.; Tripodis, Y.; Martin, B.; Palmisano, J.N.; Steinberg, E.G.; Stein, T.D.; Kowall, N.W.; McKee, A.C.; et al. Independent effects of white matter hyperintensities on cognitive, neuropsychiatric, and functional decline: A longitudinal investigation using the National Alzheimer’s Coordinating Center Uniform Data Set. Alzheimers Res. 2019, 11, 64.
  6. Daly, B.; Thompsell, A.; Sharpling, J.; Rooney, Y.M.; Hillman, L.; Wanyonyi, K.L.; White, S.; Gallagher, J.E. Evidence summary: The relationship between oral health and dementia. Br. Dent. J. 2018, 223, 846–853.
  7. Delwel, S.; Scherder, E.J.A.; Perez, R.S.G.M.; Hertogh, C.M.P.M.; Maier, A.B.; Lobbezoo, F. Oral function of older people with mild cognitive impairment or dementia. J. Oral. Rehabil. 2018, 45, 990–997.
  8. Miquel, S.; Aspiras, M.; Day, J.E.L. Does reduced mastication influence cognitive and systemic health during aging? Physiol. Behav. 2018, 188, 239–250.
  9. Saito, S.; Ohi, T.; Murakami, T.; Komiyama, T.; Miyoshi, Y.; Endo, K.; Satoh, M.; Asayama, K.; Inoue, R.; Kikuya, M.; et al. Association between tooth loss and cognitive impairment in community-dwelling older Japanese adults: A 4-year prospective cohort study from the Ohasama study. BMC Oral. Health 2018, 18, 142.
  10. Galindo-Moreno, P.; Lopez-Chaichio, L.; Padial-Molina, M.; Avila-Ortiz, G.; O’Valle, F.; Ravida, A.; Catena, A. The impact of tooth loss on cognitive function. Clin. Oral. Investig. 2021, 26, 3493–3500.
  11. Nakamura, T.; Zou, K.; Shibuya, Y.; Michikawa, M. Oral dysfunctions and cognitive impairment/dementia. J. Neurosci. Res. 2021, 99, 518–528.
  12. Suzuki, H.; Furuya, J.; Hidaka, R.; Miyajima, S.; Matsubara, C.; Ohwada, G.; Asada, T.; Akazawa, C.; Sato, Y.; Tohara, H.; et al. Patients with mild cognitive impairment diagnosed at dementia clinic display decreased maximum occlusal force: A cross-sectional study. BMC Oral. Health 2021, 21, 665.
  13. Xu, S.; Huang, X.; Gong, Y.; Sun, J. Association between tooth loss rate and risk of mild cognitive impairment in older adults: A population-based longitudinal study. Aging (Albany NY) 2021, 13, 21599–21609.
  14. Lauritano, D.; Moreo, G.; Della Vella, F.; Di Stasio, D.; Carinci, F.; Lucchese, A.; Petruzzi, M. Oral Health Status and Need for Oral Care in an Aging Population: A Systematic Review. Int. J. Env. Res. Public Health 2019, 16, 4558.
  15. Marchini, L.; Ettinger, R.; Caprio, T.; Jucan, A. Oral health care for patients with Alzheimer’s disease: An update. Spec. Care Dent. 2019, 39, 262–273.
  16. Scambler, S.; Curtis, S.; Manthorpe, J.; Samsi, K.; Rooney, Y.M.; Gallagher, J.E. The mouth and oral health in the field of dementia. Health 2021, 13634593211049891.
  17. Kim, T.H. Effects of masticatory exercise on cognitive function in community-dwelling older adults. Technol. Health Care 2021, 29, 125–131.
  18. Chen, H.; Iinuma, M.; Onozuka, M.; Kubo, K.Y. Chewing Maintains Hippocampus-Dependent Cognitive Function. Int. J. Med. Sci. 2015, 12, 502–509.
  19. Tada, A.; Miura, H. Association between mastication and cognitive status: A systematic review. Arch. Gerontol. Geriatr. 2017, 70, 44–53.
  20. Lin, C.S. Revisiting the link between cognitive decline and masticatory dysfunction. BMC Geriatr. 2018, 18, 5.
  21. Alvarenga, M.O.P.; Ferreira, R.O.; Magno, M.B.; Fagundes, N.C.F.; Maia, L.C.; Lima, R.R. Masticatory Dysfunction by Extensive Tooth Loss as a Risk Factor for Cognitive Deficit: A Systematic Review and Meta-Analysis. Front. Physiol. 2019, 10, 832.
  22. Kim, J.H.; Oh, J.K.; Wee, J.H.; Kim, Y.H.; Byun, S.H.; Choi, H.G. Association between Tooth Loss and Alzheimer’s Disease in a Nested Case-Control Study Based on a National Health Screening Cohort. J. Clin. Med. 2021, 10, 3763.
  23. Li, F.; Geng, X.; Yun, H.J.; Haddad, Y.; Chen, Y.; Ding, Y. Neuroplastic Effect of Exercise Through Astrocytes Activation and Cellular Crosstalk. Aging Dis. 2021, 12, 1644–1657.
  24. Ramírez-Rodríguez, G.; Ocaña-Fernández, M.A.; Vega-Rivera, N.M.; Torres-Pérez, O.M.; Gómez-Sánchez, A.; Estrada-Camarena, E.; Ortiz-López, L. Environmental enrichment induces neuroplastic changes in middle age female Balb/c mice and increases the hippocampal levels of BDNF, p-Akt and p-MAPK1/2. Neuroscience 2014, 260, 158–170.
  25. Takeda, Y.; Oue, H.; Okada, S.; Kawano, A.; Koretake, K.; Michikawa, M.; Akagawa, Y.; Tsuga, K. Molar loss and powder diet leads to memory deficit and modifies the mRNA expression of brain-derived neurotrophic factor in the hippocampus of adult mice. BMC Neurosci. 2016, 17, 81.
  26. Fukushima-Nakayama, Y.; Ono, T.; Hayashi, M.; Inoue, M.; Wake, H.; Nakashima, T. Reduced Mastication Impairs Memory Function. J. Dent. Res. 2017, 96, 1058–1066.
  27. Piancino, M.G.; Tortarolo, A.; Polimeni, A.; Bramanti, E.; Bramanti, P. Altered mastication adversely impacts morpho-functional features of the hippocampus: A systematic review on animal studies in three different experimental conditions involving the masticatory function. PLoS ONE 2020, 15, e0237872.
  28. Kubo, K.Y.; Ichihashi, Y.; Kurata, C.; Iinuma, M.; Mori, D.; Katayama, T.; Miyake, H.; Fujiwara, S.; Tamura, Y. Masticatory function and cognitive function. Okajimas Folia Anat. Jpn. 2010, 87, 135–140.
  29. Ono, Y.; Yamamoto, T.; Kubo, K.Y.; Onozuka, M. Occlusion and brain function: Mastication as a prevention of cognitive dysfunction. J. Oral. Rehabil. 2010, 37, 624–640.
  30. Frota de Almeida, M.N.; de Siqueira Mendes, F.e.C.; Gurgel Felício, A.P.; Falsoni, M.; Ferreira de Andrade, M.L.; Bento-Torres, J.; da Costa Vasconcelos, P.F.; Perry, V.H.; Picanço-Diniz, C.W.; Kronka Sosthenes, M.C. Spatial memory decline after masticatory deprivation and aging is associated with altered laminar distribution of CA1 astrocytes. BMC Neurosci. 2012, 13, 23.
  31. Mendes, F.e.C.; de Almeida, M.N.; Felício, A.P.; Fadel, A.C.; Silva, D.e.J.; Borralho, T.G.; da Silva, R.P.; Bento-Torres, J.; Vasconcelos, P.F.; Perry, V.H.; et al. Enriched environment and masticatory activity rehabilitation recover spatial memory decline in aged mice. BMC Neurosci. 2013, 14, 63.
  32. Ekuni, D.; Tomofuji, T.; Irie, K.; Azuma, T.; Endo, Y.; Kasuyama, K.; Morita, M. Occlusal disharmony increases amyloid-beta in the rat hippocampus. Neuromol. Med. 2011, 13, 197–203.
  33. Ekuni, D.; Endo, Y.; Tomofuji, T.; Azuma, T.; Irie, K.; Kasuyama, K.; Morita, M. Effects of apoE deficiency and occlusal disharmony on amyloid-beta production and spatial memory in rats. PLoS ONE 2013, 8, e74966.
  34. Maeshiba, M.; Kajiya, H.; Tsutsumi, T.; Migita, K.; Goto-T, K.; Kono, Y.; Tsuzuki, T.; Ohno, J. Occlusal disharmony transiently decrease cognition via cognitive suppressor molecules and partially restores cognitive ability via clearance molecules. Biochem. Biophys. Res. Commun. 2022, 594, 74–80.
  35. Cohen, J.; Torres, C. Astrocyte senescence: Evidence and significance. Aging Cell 2019, 18, e12937.
  36. Morales-Rosales, S.L.; Santín-Márquez, R.; Posadas-Rodriguez, P.; Rincon-Heredia, R.; Montiel, T.; Librado-Osorio, R.; Luna-López, A.; Rivero-Segura, N.A.; Torres, C.; Cano-Martínez, A.; et al. Senescence in Primary Rat Astrocytes Induces Loss of the Mitochondrial Membrane Potential and Alters Mitochondrial Dynamics in Cortical Neurons. Front. Aging Neurosci. 2021, 13, 766306.
  37. Pannese, E. Quantitative, structural and molecular changes in neuroglia of aging mammals: A review. Eur. J. Histochem. 2021, 65, 3249.
  38. Barter, J.D.; Foster, T.C. Aging in the Brain: New Roles of Epigenetics in Cognitive Decline. Neuroscientist 2018, 24, 516–525.
  39. Lupo, G.; Gaetani, S.; Cacci, E.; Biagioni, S.; Negri, R. Molecular Signatures of the Aging Brain: Finding the Links Between Genes and Phenotypes. Neurotherapeutics 2019, 16, 543–553.
  40. González-Velasco, O.; Papy-García, D.; Le Douaron, G.; Sánchez-Santos, J.M.; De Las Rivas, J. Transcriptomic landscape, gene signatures and regulatory profile of aging in the human brain. Biochim. Biophys Acta Gene Regul. Mech. 2020, 1863, 194491.
  41. Diniz, D.G.; de Oliveira, M.A.; de Lima, C.M.; Foro, C.A.R.; Sosthenes, M.C.K.; Bento-Torres, J.; Vasconcelos, P.F.D.; Anthony, D.C.; Diniz, C.W.P. Age, environment, object recognition and morphological diversity of GFAP-immunolabeled astrocytes. Behav. Brain Funct. 2016, 12.
  42. Maugeri, G.; D’Agata, V.; Magrì, B.; Roggio, F.; Castorina, A.; Ravalli, S.; Di Rosa, M.; Musumeci, G. Neuroprotective Effects of Physical Activity via the Adaptation of Astrocytes. Cells 2021, 10, 1542.
  43. Matias, I.; Morgado, J.; Gomes, F.C.A. Astrocyte Heterogeneity: Impact to Brain Aging and Disease. Front. Aging Neurosci. 2019, 11, 59.
  44. Matias, I.; Diniz, L.P.; Damico, I.V.; Araujo, A.P.B.; Neves, L.D.S.; Vargas, G.; Leite, R.E.P.; Suemoto, C.K.; Nitrini, R.; Jacob-Filho, W.; et al. Loss of lamin-B1 and defective nuclear morphology are hallmarks of astrocyte senescence in vitro and in the aging human hippocampus. Aging Cell 2022, 21, e13521.
  45. Bento-Torres, J.; Sobral, L.L.; Reis, R.R.; de Oliveira, R.B.; Anthony, D.C.; Vasconcelos, P.F.C.; Diniz, C.W.P. Age and Environment Influences on Mouse Prion Disease Progression: Behavioral Changes and Morphometry and Stereology of Hippocampal Astrocytes. Oxidative Med. Cell. Longev. 2017, 2017, 4504925.
  46. Moulson, A.J.; Squair, J.W.; Franklin, R.J.M.; Tetzlaff, W.; Assinck, P. Diversity of Reactive Astrogliosis in CNS Pathology: Heterogeneity or Plasticity? Front. Cell Neurosci. 2021, 15, 703810.
  47. Preman, P.; Alfonso-Triguero, M.; Alberdi, E.; Verkhratsky, A.; Arranz, A.M. Astrocytes in Alzheimer’s Disease: Pathological Significance and Molecular Pathways. Cells 2021, 10, 540.
  48. Ferrer, I. Diversity of astroglial responses across human neurodegenerative disorders and brain aging. Brain Pathol. 2017, 27, 645–674.
  49. Escartin, C.; Galea, E.; Lakatos, A.; O’Callaghan, J.P.; Petzold, G.C.; Serrano-Pozo, A.; Steinhäuser, C.; Volterra, A.; Carmignoto, G.; Agarwal, A.; et al. Reactive astrocyte nomenclature, definitions, and future directions. Nat. Neurosci. 2021, 24, 312–325.
  50. Viola, G.G.; Rodrigues, L.; Americo, J.C.; Hansel, G.; Vargas, R.S.; Biasibetti, R.; Swarowsky, A.; Goncalves, C.A.; Xavier, L.L.; Achaval, M.; et al. Morphological changes in hippocampal astrocytes induced by environmental enrichment in mice. Brain Res. 2009, 1274, 47–54.
  51. Saur, L.; Baptista, P.P.; de Senna, P.N.; Paim, M.F.; do Nascimento, P.; Ilha, J.; Bagatini, P.B.; Achaval, M.; Xavier, L.L. Physical exercise increases GFAP expression and induces morphological changes in hippocampal astrocytes. Brain Struct. Funct. 2014, 219, 293–302.
  52. Viola, G.G.; Loss, C.M. Letter to Editor about: “Physical exercise increases GFAP expression and induces morphological changes in hippocampal astrocytes”. Brain Struct. Funct. 2014, 219, 1509–1510.
  53. Lundquist, A.J.; Parizher, J.; Petzinger, G.M.; Jakowec, M.W. Exercise induces region-specific remodeling of astrocyte morphology and reactive astrocyte gene expression patterns in male mice. J. Neurosci. Res. 2019, 97, 1081–1094.
  54. Cooper, C.; Moon, H.Y.; van Praag, H. On the Run for Hippocampal Plasticity. Cold Spring Harb. Perspect. Med. 2018, 8, a029736.
  55. Kempermann, G. Environmental enrichment, new neurons and the neurobiology of individuality. Nat. Rev. Neurosci. 2019, 20, 235–245.
  56. Onozuka, M.; Watanabe, K.; Nagasaki, S.; Jiang, Y.; Ozono, S.; Nishiyama, K.; Kawase, T.; Karasawa, N.; Nagatsu, I. Impairment of spatial memory and changes in astroglial responsiveness following loss of molar teeth in aged SAMP8 mice. Behav. Brain Res. 2000, 108, 145–155.
  57. Mendes, F.C.C.S.; Felício, A.P.G.; Diniz, C.W.P.; Sosthenes, M.C.K. Alteração mastigatória, ambiente enriquecido e envelhecimento: Estudos estereológicos de CA1 do hipocampo de camundongos suíços albinos. Rev. Pan-Amaz. Saude. 2016, 7, 31–40.
  58. Kida, K.; Tsuji, T.; Tanaka, S.; Kogo, M. Zinc deficiency with reduced mastication impairs spatial memory in young adult mice. Physiol. Behav. 2015, 152, 231–237.
  59. De Siqueira Mendes, F.C.C.; Paixão, L.T.V.B.; Diniz, D.G.; Anthony, D.C.; Brites, D.; Diniz, C.W.P.; Sosthenes, M.C.K. Sedentary Life and Reduced Mastication Impair Spatial Learning and Memory and Differentially Affect Dentate Gyrus Astrocyte Subtypes in the Aged Mice. Front Neurosci. 2021, 15, 632216.
  60. Batiuk, M.Y.; Martirosyan, A.; Wahis, J.; de Vin, F.; Marneffe, C.; Kusserow, C.; Koeppen, J.; Viana, J.F.; Oliveira, J.F.; Voet, T.; et al. Identification of region-specific astrocyte subtypes at single cell resolution. Nat. Commun. 2020, 11, 1220.
  61. Chai, H.; Diaz-Castro, B.; Shigetomi, E.; Monte, E.; Octeau, J.C.; Yu, X.; Cohn, W.; Rajendran, P.S.; Vondriska, T.M.; Whitelegge, J.P.; et al. Neural Circuit-Specialized Astrocytes: Transcriptomic, Proteomic, Morphological, and Functional Evidence. Neuron 2017, 95, 531–549.e539.
  62. Clarke, L.E.; Liddelow, S.A.; Chakraborty, C.; Münch, A.E.; Heiman, M.; Barres, B.A. Normal aging induces A1-like astrocyte reactivity. Proc. Natl. Acad. Sci. USA 2018, 115, E1896–E1905.
  63. Boisvert, M.M.; Erikson, G.A.; Shokhirev, M.N.; Allen, N.J. The Aging Astrocyte Transcriptome from Multiple Regions of the Mouse Brain. Cell Rep. 2018, 22, 269–285.
  64. Munger, E.L.; Edler, M.K.; Hopkins, W.D.; Ely, J.J.; Erwin, J.M.; Perl, D.P.; Mufson, E.J.; Hof, P.R.; Sherwood, C.C.; Raghanti, M.A. Astrocytic changes with aging and Alzheimer’s disease-type pathology in chimpanzees. J. Comp. Neurol. 2019, 527, 1179–1195.
  65. Bettcher, B.M.; Olson, K.E.; Carlson, N.E.; McConnell, B.V.; Boyd, T.; Adame, V.; Solano, D.A.; Anton, P.; Markham, N.; Thaker, A.A.; et al. Astrogliosis and episodic memory in late life: Higher GFAP is related to worse memory and white matter microstructure in healthy aging and Alzheimer’s disease. Neurobiol. Aging 2021, 103, 68–77.
  66. Adamsky, A.; Goshen, I. Astrocytes in Memory Function: Pioneering Findings and Future Directions. Neuroscience 2018, 370, 14–26.
  67. Navarrete, M.; Cuartero, M.I.; Palenzuela, R.; Draffin, J.E.; Konomi, A.; Serra, I.; Colié, S.; Castaño-Castaño, S.; Hasan, M.T.; Nebreda, Á.; et al. Astrocytic p38α MAPK drives NMDA receptor-dependent long-term depression and modulates long-term memory. Nat. Commun. 2019, 10, 2968.
  68. Iwai, Y.; Ozawa, K.; Yahagi, K.; Mishima, T.; Akther, S.; Vo, C.T.; Lee, A.B.; Tanaka, M.; Itohara, S.; Hirase, H. Transient Astrocytic Gq Signaling Underlies Remote Memory Enhancement. Front. Neural. Circuits 2021, 15, 658343.
  69. Van Den Herrewegen, Y.; Sanderson, T.M.; Sahu, S.; De Bundel, D.; Bortolotto, Z.A.; Smolders, I. Side-by-side comparison of the effects of Gq- and Gi-DREADD-mediated astrocyte modulation on intracellular calcium dynamics and synaptic plasticity in the hippocampal CA1. Mol. Brain. 2021, 14, 144.
  70. Corkrum, M.; Covelo, A.; Lines, J.; Bellocchio, L.; Pisansky, M.; Loke, K.; Quintana, R.; Rothwell, P.E.; Lujan, R.; Marsicano, G.; et al. Dopamine-Evoked Synaptic Regulation in the Nucleus Accumbens Requires Astrocyte Activity. Neuron 2020, 105, 1036–1047.e1035.
  71. Lines, J.; Martin, E.D.; Kofuji, P.; Aguilar, J.; Araque, A. Astrocytes modulate sensory-evoked neuronal network activity. Nat. Commun. 2020, 11, 3689.
  72. Vaidyanathan, T.V.; Collard, M.; Yokoyama, S.; Reitman, M.E.; Poskanzer, K.E. Cortical astrocytes independently regulate sleep depth and duration via separate GPCR pathways. Elife 2021, 10, e63329.
  73. Sweeney, P.; Qi, Y.; Xu, Z.; Yang, Y. Activation of hypothalamic astrocytes suppresses feeding without altering emotional states. Glia 2016, 64, 2263–2273.
  74. Li, Y.; Li, L.; Wu, J.; Zhu, Z.; Feng, X.; Qin, L.; Zhu, Y.; Sun, L.; Liu, Y.; Qiu, Z.; et al. Activation of astrocytes in hippocampus decreases fear memory through adenosine A. Elife 2020, 9, e57155.
  75. Ren, J.; Lu, C.L.; Huang, J.; Fan, J.; Guo, F.; Mo, J.W.; Huang, W.Y.; Kong, P.L.; Li, X.W.; Sun, L.R.; et al. A Distinct Metabolically Defined Central Nucleus Circuit Bidirectionally Controls Anxiety-Related Behaviors. J. Neurosci. 2022, 42, 2356–2370.
  76. Lyon, K.A.; Allen, N.J. From Synapses to Circuits, Astrocytes Regulate Behavior. Front. Neural Circuits 2021, 15, 786293.
  77. Nagai, J.; Yu, X.; Papouin, T.; Cheong, E.; Freeman, M.R.; Monk, K.R.; Hastings, M.H.; Haydon, P.G.; Rowitch, D.; Shaham, S.; et al. Behaviorally consequential astrocytic regulation of neural circuits. Neuron 2021, 109, 576–596.
  78. Patten, A.R.; Sickmann, H.; Hryciw, B.N.; Kucharsky, T.; Parton, R.; Kernick, A.; Christie, B.R. Long-term exercise is needed to enhance synaptic plasticity in the hippocampus. Learn Mem. 2013, 20, 642–647.
  79. Vivar, C.; van Praag, H. Running Changes the Brain: The Long and the Short of It. Physiology (Bethesda) 2017, 32, 410–424.
  80. Van Praag, H. Neurogenesis and exercise: Past and future directions. Neuromolecular Med. 2008, 10, 128–140.
  81. Huang, Y.Q.; Wu, C.; He, X.F.; Wu, D.; He, X.; Liang, F.Y.; Dai, G.Y.; Pei, Z.; Xu, G.Q.; Lan, Y. Effects of Voluntary Wheel-Running Types on Hippocampal Neurogenesis and Spatial Cognition in Middle-Aged Mice. Front. Cell Neurosci. 2018, 12, 177.
  82. Zhang, T.Y.; Keown, C.L.; Wen, X.; Li, J.; Vousden, D.A.; Anacker, C.; Bhattacharyya, U.; Ryan, R.; Diorio, J.; O’Toole, N.; et al. Environmental enrichment increases transcriptional and epigenetic differentiation between mouse dorsal and ventral dentate gyrus. Nat. Commun. 2018, 9, 298.
  83. Zhu, D.; Li, C.; Swanson, A.M.; Villalba, R.M.; Guo, J.; Zhang, Z.; Matheny, S.; Murakami, T.; Stephenson, J.R.; Daniel, S.; et al. BAI1 regulates spatial learning and synaptic plasticity in the hippocampus. J. Clin. Investig. 2015, 125, 1497–1508.
  84. Birch, A.M.; McGarry, N.B.; Kelly, A.M. Short-term environmental enrichment, in the absence of exercise, improves memory, and increases NGF concentration, early neuronal survival, and synaptogenesis in the dentate gyrus in a time-dependent manner. Hippocampus 2013, 23, 437–450.
  85. Birch, A.M.; Kelly, Á. Lifelong environmental enrichment in the absence of exercise protects the brain from age-related cognitive decline. Neuropharmacology 2019, 145, 59–74.
  86. Diniz, D.G.; Foro, C.A.R.; Rego, C.M.D.; Gloria, D.A.; de Oliveira, F.R.R.; Paes, J.M.P.; de Sousa, A.A.; Tokuhashi, T.P.; Trindade, L.S.; Turiel, M.C.P.; et al. Environmental impoverishment and aging alter object recognition, spatial learning, and dentate gyrus astrocytes. Eur. J. Neurosci. 2010, 32, 509–519.
  87. Harland, B.C.; Dalrymple-Alford, J.C. Enriched Environment Procedures for Rodents: Creating a Standardized Protocol for Diverse Enrichment to Improve Consistency across Research Studies. Bio Protoc. 2020, 10, e3637.
  88. Kobilo, T.; Liu, Q.R.; Gandhi, K.; Mughal, M.; Shaham, Y.; van Praag, H. Running is the neurogenic and neurotrophic stimulus in environmental enrichment. Learn Mem. 2011, 18, 605–609.
  89. Grégoire, C.A.; Bonenfant, D.; Le Nguyen, A.; Aumont, A.; Fernandes, K.J. Untangling the influences of voluntary running, environmental complexity, social housing and stress on adult hippocampal neurogenesis. PLoS ONE 2014, 9, e86237.
  90. Robison, L.S.; Francis, N.; Popescu, D.L.; Anderson, M.E.; Hatfield, J.; Xu, F.; Anderson, B.J.; Van Nostrand, W.E.; Robinson, J.K. Environmental Enrichment: Disentangling the Influence of Novelty, Social, and Physical Activity on Cerebral Amyloid Angiopathy in a Transgenic Mouse Model. Int. J. Mol. Sci. 2020, 21, 843.
  91. Wolf, M.; Weissing, F.J. Animal personalities: Consequences for ecology and evolution. Trends Ecol. Evol. 2012, 27, 452–461.
  92. Füzesi, T.; Daviu, N.; Wamsteeker Cusulin, J.I.; Bonin, R.P.; Bains, J.S. Hypothalamic CRH neurons orchestrate complex behaviours after stress. Nat. Commun. 2016, 7, 11937.
  93. Kentner, A.C.; Speno, A.V.; Doucette, J.; Roderick, R.C. The Contribution of Environmental Enrichment to Phenotypic Variation in Mice and Rats. eNeuro 2021, 8.
  94. Komada, M.; Takao, K.; Miyakawa, T. Elevated plus maze for mice. J. Vis. Exp. 2008, 22, 1088.
  95. Ennaceur, A. Tests of unconditioned anxiety—Pitfalls and disappointments. Physiol. Behav. 2014, 135, 55–71.
  96. Tapper, A.R.; Molas, S. Midbrain circuits of novelty processing. Neurobiol. Learn Mem. 2020, 176, 107323.
  97. Schomaker, J.; Meeter, M. Short- and long-lasting consequences of novelty, deviance and surprise on brain and cognition. Neurosci. Biobehav. Rev. 2015, 55, 268–279.
  98. Girbovan, C.; Plamondon, H. Environmental enrichment in female rodents: Considerations in the effects on behavior and biochemical markers. Behav. Brain Res. 2013, 253, 178–190.
  99. Wang, H.; Xu, X.; Gao, J.; Zhang, T. Enriched Environment and Social Isolation Affect Cognition Ability via Altering Excitatory and Inhibitory Synaptic Density in Mice Hippocampus. Neurochem. Res. 2020, 45, 2417–2432.
  100. Da Silva, J.D.; Ni, S.C.; Lee, C.; Elani, H.; Ho, K.; Thomas, C.; Kuwajima, Y.; Ishida, Y.; Kobayashi, T.; Ishikawa-Nagai, S. Association between cognitive health and masticatory conditions: A descriptive study of the national database of the universal healthcare system in Japan. Aging (Albany N.Y.) 2021, 13, 7943–7952.
  101. Krishnamoorthy, G.; Narayana, A.I.; Balkrishanan, D. Mastication as a tool to prevent cognitive dysfunctions. Jpn. Dent. Sci. Rev. 2018, 54, 169–173.
  102. Chuhuaicura, P.; Dias, F.J.; Arias, A.; Lezcano, M.F.; Fuentes, R. Mastication as a protective factor of the cognitive decline in adults: A qualitative systematic review. Int. Dent. J. 2019, 69, 334–340.
  103. Lopez-Chaichio, L.; Padial-Molina, M.; O’Valle, F.; Gil-Montoya, J.A.; Catena, A.; Galindo-Moreno, P. Oral health and healthy chewing for healthy cognitive ageing: A comprehensive narrative review. Gerodontology 2021, 38, 126–135.
  104. Ahmed, S.E.; Mohan, J.; Kalaignan, P.; Kandasamy, S.; Raju, R.; Champakesan, B. Influence of Dental Prostheses on Cognitive Functioning in Elderly Population: A Systematic Review. J. Pharm. Bioallied. Sci. 2021, 13, S788–S794.
  105. Tsutsui, K.; Kaku, M.; Motokawa, M.; Tohma, Y.; Kawata, T.; Fujita, T.; Kohno, S.; Ohtani, J.; Tenjoh, K.; Nakano, M.; et al. Influences of reduced masticatory sensory input from soft-diet feeding upon spatial memory/learning ability in mice. Biomed. Res. 2007, 28, 1–7.
  106. Kondo, H.; Kurahashi, M.; Mori, D.; Iinuma, M.; Tamura, Y.; Mizutani, K.; Shimpo, K.; Sonoda, S.; Azuma, K.; Kubo, K.Y. Hippocampus-dependent spatial memory impairment due to molar tooth loss is ameliorated by an enriched environment. Arch. Oral. Biol. 2016, 61, 1–7.
  107. Weijenberg, R.A.F.; Delwel, S.; Ho, B.V.; van der Maarel-Wierink, C.D.; Lobbezoo, F. Mind your teeth-The relationship between mastication and cognition. Gerodontology 2019, 36, 2–7.
  108. Arakawa, Y.; Ichihashi, Y.; Iinuma, M.; Tamura, Y.; Iwaku, F.; Kubo, K.Y. Duration-dependent effects of the bite-raised condition on hippocampal function in SAMP8 mice. Okajimas Folia Anat. Jpn. 2007, 84, 115–119.
  109. Kubo, K.Y.; Yamada, Y.; Iinuma, M.; Iwaku, F.; Tamura, Y.; Watanabe, K.; Nakamura, H.; Onozuka, M. Occlusal disharmony induces spatial memory impairment and hippocampal neuron degeneration via stress in SAMP8 mice. Neurosci. Lett. 2007, 414, 188–191.
  110. Mori, D.; Katayama, T.; Miyake, H.; Fujiwara, S.; Kubo, K.Y. Occlusal disharmony leads to learning deficits associated with decreased cellular proliferation in the hippocampal dentate gyrus of SAMP8 mice. Neurosci. Lett. 2013, 534, 228–232.
  111. Yoshihara, T.; Matsumoto, Y.; Ogura, T. Occlusal disharmony affects plasma corticosterone and hypothalamic noradrenaline release in rats. J. Dent. Res. 2001, 80, 2089–2092.
  112. Iinuma, M.; Ichihashi, Y.; Hioki, Y.; Kurata, C.; Tamura, Y.; Kubo, K.Y. Malocclusion induces chronic stress. Okajimas Folia Anat. Jpn. 2008, 85, 35–42.
  113. Tang, X.; Li, J.; Jiang, T.; Han, S.H.; Yao, D.Y. Experimental occlusal disharmony—A promoting factor for anxiety in rats under chronic psychological stress. Prog. Neuropsychopharmacol. Biol. Psychiatry 2017, 75, 165–175.
  114. Kubo, K.Y.; Iinuma, M.; Chen, H. Mastication as a Stress-Coping Behavior. Biomed. Res. Int. 2015, 2015, 876409.
  115. Azuma, K.; Zhou, Q.; Niwa, M.; Kubo, K.Y. Association between Mastication, the Hippocampus, and the HPA Axis: A Comprehensive Review. Int. J. Mol. Sci. 2017, 18, 1687.
  116. Cait, J.; Cait, A.; Scott, R.W.; Winder, C.B.; Mason, G.J. Conventional laboratory housing increases morbidity and mortality in research rodents: Results of a meta-analysis. BMC Biol. 2022, 20, 15.
  117. Ono, Y.; Koizumi, S.; Onozuka, M. Chewing prevents stress-induced hippocampal LTD formation and anxiety-related behaviors: A possible role of the dopaminergic system. Biomed. Res. Int. 2015, 2015, 294068.
  118. Yaoita, F.; Tsuchiya, M.; Arai, Y.; Tadano, T.; Tan-No, K. Involvement of catecholaminergic and GABAAergic mediations in the anxiety-related behavior in long-term powdered diet-fed mice. Neurochem. Int. 2019, 124, 1–9.
  119. Ono, Y.; Kataoka, T.; Miyake, S.; Cheng, S.J.; Tachibana, A.; Sasaguri, K.I.; Onozuka, M. Chewing ameliorates stress-induced suppression of hippocampal long-term potentiation. Neuroscience 2008, 154, 1352–1359.
  120. Ono, Y.; Kataoka, T.; Miyake, S.; Sasaguri, K.; Sato, S.; Onozuka, M. Chewing rescues stress-suppressed hippocampal long-term potentiation via activation of histamine H1 receptor. Neurosci. Res. 2009, 64, 385–390.
  121. De Siqueira Mendes, F.C.C.; da Paixão, L.T.V.B.; Diniz, C.W.P.; Sosthenes, M.C.K. Environmental Impoverishment, Aging, and Reduction in Mastication Affect Mouse Innate Repertoire to Explore Novel Environments and to Assess Risk. Front. Neurosci. 2019, 13, 107.
  122. Ma, C.L.; Ma, X.T.; Wang, J.J.; Liu, H.; Chen, Y.F.; Yang, Y. Physical exercise induces hippocampal neurogenesis and prevents cognitive decline. Behav. Brain. Res. 2017, 317, 332–339.
  123. Wang, X.; Hu, J.; Jiang, Q. Tooth Loss-Associated Mechanisms That Negatively Affect Cognitive Function: A Systematic Review of Animal Experiments Based on Occlusal Support Loss and Cognitive Impairment. Front. Neurosci. 2022, 16, 811335.
  124. Eichenbaum, H.; Yonelinas, A.P.; Ranganath, C. The medial temporal lobe and recognition memory. Annu. Rev. Neurosci. 2007, 30, 123–152.
  125. Hiscox, L.V.; Johnson, C.L.; McGarry, M.D.J.; Schwarb, H.; van Beek, E.J.R.; Roberts, N.; Starr, J.M. Hippocampal viscoelasticity and episodic memory performance in healthy older adults examined with magnetic resonance elastography. Brain. Imaging Behav. 2020, 14, 175–185.
  126. Sander, M.C.; Fandakova, Y.; Grandy, T.H.; Shing, Y.L.; Werkle-Bergner, M. Oscillatory Mechanisms of Successful Memory Formation in Younger and Older Adults Are Related to Structural Integrity. Cereb. Cortex. 2020, 30, 3744–3758.
  127. Harris, K.M. Structural LTP: From synaptogenesis to regulated synapse enlargement and clustering. Curr. Opin. Neurobiol. 2020, 63, 189–197.
  128. Caroni, P.; Chowdhury, A.; Lahr, M. Synapse rearrangements upon learning: From divergent-sparse connectivity to dedicated sub-circuits. Trends Neurosci. 2014, 37, 604–614.
  129. Hrybouski, S.; MacGillivray, M.; Huang, Y.; Madan, C.R.; Carter, R.; Seres, P.; Malykhin, N.V. Involvement of hippocampal subfields and anterior-posterior subregions in encoding and retrieval of item, spatial, and associative memories: Longitudinal versus transverse axis. Neuroimage 2019, 191, 568–586.
  130. Scully, D.; Fedriani, R.; Desouza, I.E.; Murphy, K.J.; Regan, C.M. Regional dissociation of paradigm-specific synapse remodeling during memory consolidation in the adult rat dentate gyrus. Neuroscience 2012, 209, 74–83.
  131. Van Groen, T.; Miettinen, P.; Kadish, I. The entorhinal cortex of the mouse: Organization of the projection to the hippocampal formation. Hippocampus 2003, 13, 133–149.
  132. Nilssen, E.S.; Doan, T.P.; Nigro, M.J.; Ohara, S.; Witter, M.P. Neurons and networks in the entorhinal cortex: A reappraisal of the lateral and medial entorhinal subdivisions mediating parallel cortical pathways. Hippocampus 2019, 29, 1238–1254.
  133. Jourdain, P.; Bergersen, L.H.; Bhaukaurally, K.; Bezzi, P.; Santello, M.; Domercq, M.; Matute, C.; Tonello, F.; Gundersen, V.; Volterra, A. Glutamate exocytosis from astrocytes controls synaptic strength. Nat. Neurosci. 2007, 10, 331–339.
  134. Savtchouk, I.; Di Castro, M.A.; Ali, R.; Stubbe, H.; Luján, R.; Volterra, A. Circuit-specific control of the medial entorhinal inputs to the dentate gyrus by atypical presynaptic NMDARs activated by astrocytes. Proc. Natl. Acad. Sci. USA 2019, 116, 13602–13610.
  135. Di Castro, M.A.; Volterra, A. Astrocyte control of the entorhinal cortex-dentate gyrus circuit: Relevance to cognitive processing and impairment in pathology. Glia 2021.
  136. Akther, S.; Hirase, H. Assessment of astrocytes as a mediator of memory and learning in rodents. Glia 2021.
  137. Nguyen, A.Q.; Koeppen, J.; Woodruff, S.; Mina, K.; Figueroa, Z.; Ethell, I.M. Astrocytic Ephrin-B1 Controls Synapse Formation in the Hippocampus During Learning and Memory. Front. Synaptic Neurosci. 2020, 12, 10.
  138. Kofuji, P.; Araque, A. G-Protein-Coupled Receptors in Astrocyte-Neuron Communication. Neuroscience 2021, 456, 71–84.
  139. Covelo, A.; Araque, A. Stimulating Astrocytes to Remember. Cell 2018, 174, 12–13.
  140. Loprinzi, P.D. The role of astrocytes on the effects of exercise on episodic memory function. Physiol. Int. 2019, 106, 21–28.
  141. Pillai, A.G.; de Jong, D.; Kanatsou, S.; Krugers, H.; Knapman, A.; Heinzmann, J.M.; Holsboer, F.; Landgraf, R.; Joëls, M.; Touma, C. Dendritic morphology of hippocampal and amygdalar neurons in adolescent mice is resilient to genetic differences in stress reactivity. PLoS ONE 2012, 7, e38971.
  142. Verkhratsky, A.; Augusto-Oliveira, M.; Pivoriūnas, A.; Popov, A.; Brazhe, A.; Semyanov, A. Astroglial asthenia and loss of function, rather than reactivity, contribute to the ageing of the brain. Pflug. Arch 2021, 473, 753–774.
  143. Porchet, R.; Probst, A.; Bouras, C.; Dráberová, E.; Dráber, P.; Riederer, B.M. Analysis of glial acidic fibrillary protein in the human entorhinal cortex during aging and in Alzheimer’s disease. Proteomics 2003, 3, 1476–1485.
  144. Han, X.; Zhang, T.; Liu, H.; Mi, Y.; Gou, X. Astrocyte Senescence and Alzheimer’s Disease: A Review. Front. Aging Neurosci. 2020, 12, 148.
  145. Morita, M.; Ikeshima-Kataoka, H.; Kreft, M.; Vardjan, N.; Zorec, R.; Noda, M. Metabolic Plasticity of Astrocytes and Aging of the Brain. Int. J. Mol. Sci. 2019, 20, 941.
  146. Watanabe, K.; Tonosaki, K.; Kawase, T.; Karasawa, N.; Nagatsu, I.; Fujita, M.; Onozuka, M. Evidence for involvement of dysfunctional teeth in the senile process in the hippocampus of SAMP8 mice. Exp. Gerontol. 2001, 36, 283–295.
  147. Yamamoto, T.; Hirayama, A. Effects of soft-diet feeding on synaptic density in the hippocampus and parietal cortex of senescence-accelerated mice. Brain Res. 2001, 902, 255–263.
  148. Kubo, K.Y.; Iwaku, F.; Watanabe, K.; Fujita, M.; Onozuka, M. Molarless-induced changes of spines in hippocampal region of SAMP8 mice. Brain Res. 2005, 1057, 191–195.
  149. Sofroniew, M.V. Astrocyte Reactivity: Subtypes, States, and Functions in CNS Innate Immunity. Trends Immunol. 2020, 41, 758–770.
  150. Fanselow, M.S.; Dong, H.W. Are the dorsal and ventral hippocampus functionally distinct structures? Neuron 2010, 65, 7–19.
  151. Kim, W.B.; Cho, J.H. Synaptic Targeting of Double-Projecting Ventral CA1 Hippocampal Neurons to the Medial Prefrontal Cortex and Basal Amygdala. J. Neurosci. 2017, 37, 4868–4882.
  152. Wahlstrom, K.L.; Huff, M.L.; Emmons, E.B.; Freeman, J.H.; Narayanan, N.S.; McIntyre, C.K.; LaLumiere, R.T. Basolateral Amygdala Inputs to the Medial Entorhinal Cortex Selectively Modulate the Consolidation of Spatial and Contextual Learning. J. Neurosci. 2018, 38, 2698–2712.
  153. Kim, W.B.; Cho, J.H. Encoding of contextual fear memory in hippocampal-amygdala circuit. Nat. Commun. 2020, 11, 1382.
  154. Jarzebowski, P.; Hay, Y.A.; Grewe, B.F.; Paulsen, O. Different encoding of reward location in dorsal and intermediate hippocampus. Curr. Biol. 2022, 32, 834–841.e835.
  155. Papatheodoropoulos, C. Striking differences in synaptic facilitation along the dorsoventral axis of the hippocampus. Neuroscience 2015, 301, 454–470.
  156. Dubovyk, V.; Manahan-Vaughan, D. Gradient of Expression of Dopamine D2 Receptors Along the Dorso-Ventral Axis of the Hippocampus. Front. Synaptic Neurosci. 2019, 11, 28.
  157. Trompoukis, G.; Papatheodoropoulos, C. Dorsal-Ventral Differences in Modulation of Synaptic Transmission in the Hippocampus. Front. Synaptic Neurosci. 2020, 12, 24.
  158. Chawla, M.K.; Sutherland, V.L.; Olson, K.; McNaughton, B.L.; Barnes, C.A. Behavior-driven arc expression is reduced in all ventral hippocampal subfields compared to CA1, CA3, and dentate gyrus in rat dorsal hippocampus. Hippocampus 2018, 28, 178–185.
  159. Frey, S.; Schieweck, R.; Forné, I.; Imhof, A.; Straub, T.; Popper, B.; Kiebler, M.A. Physical Activity Dynamically Regulates the Hippocampal Proteome along the Dorso-Ventral Axis. Int. J. Mol. Sci. 2020, 21, 3501.
  160. Bondi, H.; Bortolotto, V.; Canonico, P.L.; Grilli, M. Complex and regional-specific changes in the morphological complexity of GFAP. Neurobiol. Aging 2021, 100, 59–71.
  161. Padilla-Coreano, N.; Bolkan, S.S.; Pierce, G.M.; Blackman, D.R.; Hardin, W.D.; Garcia-Garcia, A.L.; Spellman, T.J.; Gordon, J.A. Direct Ventral Hippocampal-Prefrontal Input Is Required for Anxiety-Related Neural Activity and Behavior. Neuron 2016, 89, 857–866.
  162. Parfitt, G.M.; Nguyen, R.; Bang, J.Y.; Aqrabawi, A.J.; Tran, M.M.; Seo, D.K.; Richards, B.A.; Kim, J.C. Bidirectional Control of Anxiety-Related Behaviors in Mice: Role of Inputs Arising from the Ventral Hippocampus to the Lateral Septum and Medial Prefrontal Cortex. Neuropsychopharmacology 2017, 42, 1715–1728.
  163. Graham, J.; D’Ambra, A.F.; Jung, S.J.; Teratani-Ota, Y.; Vishwakarma, N.; Venkatesh, R.; Parigi, A.; Antzoulatos, E.G.; Fioravante, D.; Wiltgen, B.J. High-Frequency Stimulation of Ventral CA1 Neurons Reduces Amygdala Activity and Inhibits Fear. Front. Behav. Neurosci. 2021, 15, 595049.
  164. Hauser, J.; Llano López, L.H.; Feldon, J.; Gargiulo, P.A.; Yee, B.K. Small lesions of the dorsal or ventral hippocampus subregions are associated with distinct impairments in working memory and reference memory retrieval, and combining them attenuates the acquisition rate of spatial reference memory. Hippocampus 2020, 30, 938–957.
  165. Sampedro-Piquero, P.; De Bartolo, P.; Petrosini, L.; Zancada-Menendez, C.; Arias, J.L.; Begega, A. Astrocytic plasticity as a possible mediator of the cognitive improvements after environmental enrichment in aged rats. Neurobiol. Learn Mem. 2014, 114, 16–25.
  166. Ward, J. Hierarchical Grouping to Optimize an Objective Function. J. Am. Stat. Assoc. 1963, 58, 236–244.
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