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Review

Therapeutic Strategies Aimed at Improving Neuroplasticity in Alzheimer Disease

by
María F. Colavitta
1,2 and
Francisco J. Barrantes
1,*
1
Laboratory of Molecular Neurobiology, Biomedical Research Institute (BIOMED), Universidad Católica Argentina (UCA)—National Scientific and Technical Research Council (CONICET), Buenos Aires C1107AAZ, Argentina
2
Centro de Investigaciones en Psicología y Psicopedagogía (CIPP-UCA), Facultad de Psicología, Av. Alicia Moreau de Justo, Buenos Aires C1107AAZ, Argentina
*
Author to whom correspondence should be addressed.
Pharmaceutics 2023, 15(8), 2052; https://doi.org/10.3390/pharmaceutics15082052
Submission received: 25 June 2023 / Revised: 23 July 2023 / Accepted: 28 July 2023 / Published: 31 July 2023

Abstract

:
Alzheimer disease (AD) is the most prevalent form of dementia among elderly people. Owing to its varied and multicausal etiopathology, intervention strategies have been highly diverse. Despite ongoing advances in the field, efficient therapies to mitigate AD symptoms or delay their progression are still of limited scope. Neuroplasticity, in broad terms the ability of the brain to modify its structure in response to external stimulation or damage, has received growing attention as a possible therapeutic target, since the disruption of plastic mechanisms in the brain appear to correlate with various forms of cognitive impairment present in AD patients. Several pre-clinical and clinical studies have attempted to enhance neuroplasticity via different mechanisms, for example, regulating glucose or lipid metabolism, targeting the activity of neurotransmitter systems, or addressing neuroinflammation. In this review, we first describe several structural and functional aspects of neuroplasticity. We then focus on the current status of pharmacological approaches to AD stemming from clinical trials targeting neuroplastic mechanisms in AD patients. This is followed by an analysis of analogous pharmacological interventions in animal models, according to their mechanisms of action.

1. Introduction

One of the characteristics of aging is the change in cognitive performance in a continuum that spans a wide range of severities, from subtle changes along “normal” aging to the more profound decline associated with neurodegenerative diseases. Some older adults present no apparent changes in cognition, while others exhibit so-called mild cognitive impairment (MCI), a condition that can be described as a minor decline in cognition, greater than that normally expected at the individual’s age but not sufficient to interfere greatly with their normal daily activities. A third set of individuals presents clear signs of severe cognitive compromise. MCI can, but does not always, develop into a more profound disorder, limiting normal daily functioning, at which stage the patient may present other symptoms that categorize the status known as dementia [1].
AD is the most common form of cognitive disorder in the elderly and frequently develops into full dementia. The disease significantly affects one or more cognitive domains of the patient, memory being the most impaired brain function [2]. This is the typical manifestation in most cases of AD, though the clinical phenotype and etiology may differ in individual presentations. There are two main categories of AD: sporadic and familial. Whilst to date no causative genes have been conclusively connected with the sporadic or late onset form of the disease (LOAD), several mutations have been identified in specific genes associated with the development of familial or inherited AD: amyloid precursor protein, presenilin-1, presenilin-2, and apolipoprotein E. Familial AD frequently manifests at earlier ages and is therefore referred to as early onset AD (EOAD); its clinical manifestations and progression are typically more aggressive than those of sporadic AD [3,4].
The most widely used experimental models of AD in studies on therapeutic strategies are transgenic rodent models that carry the mutations characteristically found in LOAD. In contrast, clinical trials usually address the EOAD form rather than LOAD, as the latter represents less than 5% of all cases [5]. There are, however, clinical trials involving patients at preclinical and clinical stages of familial AD to test for instance monoclonal antibody therapy, such as that involving solanezumab [6,7].
Neurofibrillary tangles and amyloid deposits are the two hallmarks of AD. These two postmortem neuropathological findings are believed to be preceded by more subtle subcellular and biochemical processes involving the constituent molecules: (i) tau, the microtubule-associated protein involved in axonal transport under physiological conditions, is translocated to the somatodendritic space and undergoes hyperphosphorylation, misfolding, and aggregation in AD, leading to the formation of neurofibrillary tangles; (ii) amyloid β (Aβ), a protein resulting from the hydrolytic cleavage of the amyloid precursor protein (APP), normally helps protect against infections and injuries, repairs leaks to the blood-brain barrier, and mediates synaptic transmission and plasticity. In AD, Aβ forms soluble oligomers that have a synaptotoxic effect, later forming extracellular deposits of amyloid plaques, found to be abundant in the brain cortex of AD patients [8]. In addition to the hyperphosphorylated tau and amyloid burden observed in most AD patients, there are other mechanisms that may be partly responsible for the observed decline in cognition. Of particular importance are alterations in neurotrophic signaling, cell survival, neurogenesis, and synaptic function, all of which are subjacent neuroplastic phenomena that can be significantly reduced or lost in AD [9], as discussed in this review. It has been hypothesized that functional alterations in neuroplasticity rather than epiphenomenological neuronal degeneration and death—reflected in the postmortem neurofibrillary tangles and hyperphosphorylated tau protein deposits—could be responsible for some of the cognitive impairments in AD, as well as in other neurodegenerative diseases [10,11,12]. Despite the strong correlation between plastic alterations and cognitive decline in AD, no effective treatments towards slowing down neuronal degeneration, stopping neuronal death, or enhancing the activity of surviving neurons have been found to date. Growing evidence points to the evaluation of dysfunctional neuroplasticity in experimental and clinical scenarios, as this general set of manifestations is increasingly considered a strong clinical correlate of the disease [13,14]. Pharmacological therapeutic strategies aimed at enhancing neuronal plasticity in AD are discussed in this review, with particular focus on studies that measure mechanisms of plasticity in AD patients or animal models of AD following pharmacological interventions. Articles were searched using the PubMed database and clinicaltrials.gov, selecting only those reporting experimental measurements of neuroplasticity.

2. The Multiple Facets of Neuroplasticity

Neuroplasticity, also called brain plasticity or simply plasticity, refers to the combination of processes that generate adaptive changes in the brain following acquired experience or damage [15]. In adulthood, neuroplastic mechanisms tend to diminish. The ability to preserve plasticity is considered essential for healthy ageing, as it may constitute a protective factor against age-related conditions and even neurodegenerative diseases such as AD [16,17]. The reorganization of the brain that is inherent to neuroplasticity comprises various mechanisms, operationally classified as functional or structural [18], though this is in fact a misleading dichotomy since the two operate jointly. At the crossroad of behavioral and functional neuroplastic parameters we find mechanisms such as homologous area adaptation (a cognitive function is overtaken by a brain structure from the opposite hemisphere), cross-modal reassignment (brain areas accustomed to processing a specific kind of sensory input develop the ability to respond to an additional sensory input), compensatory masquerade (a cognitive function is allocated to a new area), and map expansion (a given functional brain region is expanded following repetitive stimulation) [19,20,21].
Structural plasticity usually refers to the morphological and developmental changes in neurons and synapses along neurodevelopment, i.e., the remodeling of neuronal circuits or synapses (e.g., synaptic pruning) or the generation of new nerve cells (i.e., neurogenesis) or synapses (i.e., synaptogenesis) either in developmental stages or in neuronal repair mechanisms [22,23]. Parameters such as number of new neurons, axon and dendritic length, number and stability of dendritic arborizations, and number and morphology of synaptic boutons, can be measured in post-mortem human or animal brain tissue [24]. The activity of neurons can be assessed at the level of networks in the resting state and under conditions of hypo- or hyper-connectivity. The latter can be studied indirectly in humans through nuclear magnetic resonance (NMR) imaging (MRI) or functional MRI (fMRI) [25].
At the cellular level, electrophysiological measurements can provide information on the functional state of the individual neuron, e.g., whether it is in a status of long-term potentiation (LTP) or long-term depression (LTD), these measurements generally being obtained ex vivo or in vitro [26]. LTP refers to the long-lasting strengthening of connections between neurons after repetitive stimulation, a phenomenon that is strongly correlated with learning mechanisms and the consolidation of long-term memory [27]. It is generally accepted that continuous stimulation and strengthening through LTP can reach a ceiling effect, requiring a mechanism of synaptic weakening to be adopted: LTD enhances neuroplasticity by preventing synaptic connections from reaching this ceiling effect [28,29]. These measurements at the structural and functional level are summarized in Figure 1.
Measuring neuroplasticity in human subjects is obviously precluded by ethical and methodological considerations, calling for the use of proxy measures. Thus, measuring neuroplasticity was for many years restricted to the use of neuropsychological tests [30], such as the Battery of Learning Potential for Assessing Dementia [31] or the re-adapted Auditory Verbal Learning Test [32], and indirect biomarkers in serum and cerebrospinal fluid (CSF) [33,34,35,36]. CSF biomarkers of plasticity include: neurogranin, a postsynaptic protein involved in synaptic plasticity and LTP [37], whose levels are usually higher in AD patients [38]; synaptosome-associated protein-25 (SNAP-25), which participates in the control of synaptic plasticity [39] and is usually higher in AD patients [40]; brain-derived neurotrophic factor (BDNF), essential for memory formation and structural plasticity [41] and which is lower in MCI and AD patients [42,43]; and vascular endothelial growth factor (VEGF), a protein involved in the growth of blood vessels and delivery of glucose that has a role in enhancing neurogenesis and synaptic plasticity [33] (see Table 1). Functional MRI (fMRI) has revolutionized this field, making it possible to obtain information on the involvement of certain brain areas in, e.g., mnemonic, cognitive, and/or fear processing. The spatial- and time-resolution of this technique, however, still falls short of addressing the cell (neuron) or subcellular (synapse) levels, that is, measuring the neuronal and/or synaptic integrity of patients in vivo. None of the above measures lead to an unequivocal diagnostic of AD [44,45].
AD is characterized by two main pathological findings in post-mortem tissue: the deposition of amyloid-beta peptides (Aβ) and neurofibrillary tangles. Other features accompany these two necropsy findings, such as neuroinflammation, cell death, and synaptic loss [46]. The so-called amyloid hypothesis purported that Aβ deposition and consequent toxicity were the causative origins of the disease [47,48,49,50]. Despite its dominant influence, there is still no conclusive proof of the original hypothesis. Some authors suggest that AD could be primarily a disease of the synapse, whereby synaptic dysfunction leads to synaptic loss and, in consequence, to neurodegeneration [51]. Synaptic aberration occurs at early phases of AD, mainly in the mesotemporal regions of the brain [52]. These abnormalities may be caused by amyloid toxicity, though no agreement has been reached on whether synaptic alterations occur prior to the deposition of senile plaques or as a consequence of Aβ deposition [53,54]. Aβ is also thought to hamper LTP in the hippocampus [55] and to disrupt LTD function by preventing glutamate uptake [56]. The inhibition of LTP and enhancement of LTD leads to synaptic and dendritic shrinkage [57,58]. In the presence of AD pathology, however, especially during the early stages of the disease, the brain still possesses the ability to adapt and rewire itself, a compensatory mechanism enabling it to respond to the increasing demands of the pathological features. For instance, decreased activity in the hippocampus is compensated for by the higher activation of other brain areas involved in the response to a cognitive task, such as the frontal lobe. This allows the patient to respond adequately to the task in hand, which does not occur in control groups [59].
Despite advances in the study of neuroplasticity in AD, much remains unknown. Understanding the mechanisms of neuroplasticity degeneration and impairment as well as their behavioral implications and clinical manifestation are key to developing effective pharmacological and non-pharmacological therapies to enhance neuronal plasticity, the strongest correlate of memory and learning impairment in this disease [19,60].

3. Current Pharmacological Strategies in AD

Effective therapies for AD, either to prevent or mitigate its symptoms [61], are still notoriously absent or scarce. The pharmacological therapies that are currently available can be categorized according to their main aim, i.e., whether they purport to prevent/delay disease onset and progression or to mitigate symptoms. Disease progression-modifying drugs are only indicated for preclinical or prodromal AD, i.e., stages at which individuals at risk of AD have no or only very slight clinical manifestations of the disease [62]. Drugs that target the clinical stages of the disease, with manifest cognitive symptoms, are indicated for mild to moderate AD (such as donepezil, galantamine, and rivastigmine) or for moderate to severe AD (such as memantine) [63]. There is still insufficient evidence on the efficacy of symptomatic treatment [64]. As therapeutics administered at clinical stages are still scarce and their effects are at most mild, trends are shifting towards targeting the early, prodromic phases of the disease. Further studies are thus urgently required to identify reliable risk factors and AD trajectories in order to develop novel and effective disease-modifying pharmacotherapies [65].
Currently approved drugs for the symptomatic treatment of AD comprise cholinesterase inhibitors and N-methyl-D-aspartic acid (NMDA) receptor antagonists [66], both of which provide at best relatively short symptomatic relief; moreover, their efficacy significantly drops as the disease progresses [67]. Of the cholinesterase inhibitors, to date only rivastigmine, tacrine [68], memantine [62], donepezil, and galantamine have been approved for the treatment of AD [67]; aducanumab is the only monoclonal antibody immunotherapy so far (2003) approved by the FDA [68,69,70]. The immunotherapy purportedly hampers Aβ deposition (see recent review by [71]). Clinical trials have shown promising results with other drugs such as Aβ and tau aggregation inhibitors, selective Aβ42 lowering agents, and anti-inflammatory agents, though these trials are still in the initial phases and their safety and effectiveness have not yet been proven [71,72,73,74,75].
Since many of the cognitive dysfunctional signatures of AD involve the cholinergic system, it is not surprising that several of the drugs listed in the preceding paragraph are ligands acting on brain cholinergic circuits. One purported mechanism of action of cholinesterase inhibitors used in AD is the prevention of glutamate neurotoxicity, an effect that is mediated by nicotinic acetylcholine receptors (nAChRs) and the phosphatidylinositol-3-kinase/Akt metabolic cascade [76]. Like other neurodegenerative diseases, AD presents an important chronic neuroinflammatory component [77,78,79]. Methyllycaconitine, an α7-subtype nAChR antagonist, was shown to antagonize the anti-inflammatory effect of nicotine, whereas dihydro-β-erythroidine, an α4β2-subtype nAChR antagonist, had no effect [80]. The homomeric α7 subtype of nAChRs and this metabolic pathway (see review in [81]) are involved in the generation of experimentally-induced neuroinflammation and pro-inflammatory cytokine production [80]. Subsequent work from these authors indicated that increased cholinergic activity in the brain by donepezil prevents experimentally-induced neuroinflammation via the α7-nAChRs/ phosphatidylinositol-3-kinase-Akt pathway, suggesting that this system may form the basis for the development of novel agents for reversing neuroinflammation [82]. As a result of cholinergic dysfunction, cognitive deterioration is also observed in Parkinson disease, another neurodegenerative disorder. The therapeutic strategies aimed at enhancing cholinergic tone in Parkinson disease have been critically reviewed [83].
Galantamine, initially considered an unconventional potentiating ligand of the nAChR [84,85], was subsequently shown to be a low-efficacy agonist acting via a non-orthosteric (agonist) binding site, i.e., an allosteric site on the receptor [86], and to inhibit apoptosis induced by Aβ [87]. Evidence that galantamine augments dopaminergic neurotransmission in the hippocampus through the allosteric potentiation of nAChRs was provided by experiments using a mouse model of Aβ-induced cognitive impairment [88]. These authors postulated that the enhancement of dopamine release may be one of multiple mechanisms underlying the therapeutic benefits of galantamine. Moriguchi and coworkers further showed that galantamine modulated excitatory/inhibitory neurotransmitter equilibrium in the cerebral cortex [89]. Pleomorphic effects of galantamine, combining actions on hippocampal neuroinflammation, deteriorated synaptic performance, and cognitive impairment have more recently been reported [90].
Therapeutic strategies that target secondary mechanisms other than amyloid and tau pathologies have also been explored, such as those aimed at mitochondrial abnormalities [91], microglial dysfunction [92], or cholesterol metabolic alterations (such as those employed in the treatment of coronary disease and atherosclerosis), often combined with classical anti-amyloid drugs [93]. A schematic categorization of the current pharmacological strategies is shown in Figure 2.
Some preliminary though promising results have been reported for drugs purported to target neuronal plasticity [94,95]. However, one should keep in mind that such interventions are only effective when there is still an acceptable degree of plasticity in the brain, enabling it to compensate for deficits in functional ability and cognitive status, i.e., when the patients are in the early or even prodromal stages of the disease [96]. There is growing evidence to suggest that interference with adult hippocampal neurogenesis contributes to neurodegeneration in AD [97]; the possibility that AD involves metabolopathies such as dysfunctional brain glucose metabolism [98,99] indicates the use of anti-diabetic drugs as an alternative therapeutic scheme. In AD, glucose uptake was shown to be diminished, thus impairing the brain’s ability to support the required neuronal activity, resulting in cognitive decline. The pro-neurogenic potential of the combined use of the antidiabetic drug metformin and donepezil in a mouse model of neurodegeneration has been reported. Metformin normalized the proteome profile and expression levels of neurogenesis markers along with an improvement in spatial memory. As compared to donepezil, metformin-treated mice exhibited an enhanced number of post-mitotic neurons, suggesting that metformin-mediated adult hippocampal neurogenesis may have implications for the treatment of AD [100]. Other alternative approaches based on plant-derived drugs have been recently reviewed [101]; for instance, the plant extract conophylline was shown to reduce amyloidogenesis and rescue cognitive impairment in a transgenic mouse model of AD [102]. There are also encouraging discoveries of the beneficial effects on cognitive performance of certain compounds found in food. For example, it has been found that in older adults, compounds such as the flavonols found in fruits and vegetables can help protect cognitive function and delay memory impairments in AD [103]. However, it should be noted that most of these advances derive from animal models, and their safety and efficacy remain to be tested in clinical trials.

4. Clinical Trials Addressing Neuroplasticity in AD Patients

Most pharmacological agents studied today in the field of AD are aimed at biological processes that promote neuroprotection through a variety of mechanisms [104]. The complex etiopathology and disrupted mechanisms occurring in AD contribute to the failure of recent trials to provide consistent evidence of efficacy, suggesting that a combination of pharmacological approaches rather than monotherapies might perhaps meet with greater success [105].
Clinical trials addressing neuroplasticity in AD are selected based on whether they report measurements related to neuroplasticity, e.g., BDNF levels, synaptic protein levels, changes in functional connectivity measured through MRI, or glutamatergic activity.
Glucose metabolism and insulin are being increasingly researched as possible targets in AD therapeutics. T3D-959 is an anti-diabetic candidate drug that has been recently studied in patients with mild to moderate AD, in a phase 2 clinical trial. T3D-959 is a small-molecule dual agonist of the peroxisome-activated nuclear receptor delta/gamma, also known as PPARδ/γ. The outcome related to neuroplasticity is improved functional connectivity of the hippocampus, as evidenced through fMRI, over the course of three weeks of treatment. Upon correcting insulin resistance in the brain, a change in glucose metabolism was observed, suggesting that insulin signaling, which is commonly affected in AD, is essential for neuroplasticity [106,107]. The administration of insulin itself has also been proposed as a therapeutic agent for AD in a clinical trial that studied its effects on mild AD or amnesic MCI [108]. Although no effects on neuroplasticity were specifically reported by these authors, fMRI measurements showed alterations in cerebral glutamate concentrations upon insulin intake, and glutamate concentrations were hypothesized to be one of the main neuroplasticity-altering mechanisms in AD. A similar study reported changes in glutamate concentration after treatment with empagliflozin, an anti-diabetic that prevents the reabsorption of glucose and favors its excretion [109].
Considering the involvement of glutamatergic neurons and their sensitivity to alterations in AD, it is not surprising many clinical trials have attempted to target the glutamatergic system. The activation of synaptic ionotropic glutamatergic receptors is required for the initiation of plasticity. However, when extrasynaptic glutamatergic receptors are overactivated in AD due to an abnormally high release of glutamate, they produce excitotoxicity and ultimately cell death [110]. Riluzole, currently approved by the FDA for the treatment of amyotrophic lateral sclerosis, is a drug that also targets the glutamatergic system by inhibiting the presynaptic release of glutamate [111]. One phase 2 study addressed the glutamatergic activity through NMR spectroscopy to measure in vivo levels of glutamate and reported a positive correlation between glutamate levels in the posterior cingulate nucleus and cognitive performance, suggesting the potential neuroplastic effect of this intervention in AD [112].
Simulifam, formerly known as PTI-125, is a drug currently studied in phase 3 clinical trials that acts as an Aβ inhibitor and reduces tau hyperphosphorylation. Besides the classical Aβ42 and tau measurements, this study also addresses the CSF levels of neurogranin, a protein present in dendritic spines that is involved in neurogenesis and epigenetic mechanisms of neuroplasticity and is usually considered a biomarker of neurodegeneration [113]. Results of this study showed reduced (32%) levels of neurogranin, suggesting that the protein exerts a potentially protective effect on neurodegeneration [114]. Neflamapinod, an inhibitor of the mitogen-activated protein kinase p38α, was also reported to lower neurogranin levels. However, cognition was found not to be altered in this study, leading the authors to suggest further studies at higher doses [115,116]. The effects of the drug CT1812 have also been studied on other biomarkers of synaptic plasticity such as synaptotagmin and SNAP25 levels, two proteins positively correlated with learning and memory performance [117,118]. CT1812 is an antagonist of the sigma2 receptor, constituting a negative allosteric modulator that could reduce the affinity of Aβ for this receptor, thus inhibiting synaptic toxicity [119,120]. The administration of CT1812 was shown to increase the levels of synaptic proteins and synaptic density [119,121,122].
There are also reports in the literature on drugs that target enzymatic pathways to promote neuroplasticity. Intravenously administered bryostatin, a protein kinase C agonist that is considered a potential therapeutic agent, slightly improved cognitive function in advanced AD patients when compared to placebo [94]. In patients with early-stage AD, 6–12 weeks of oral administration of neflamapinod, a p38α inhibitor, increased episodic memory performance, considered by the authors to be a proxy measure of synaptic function [123]. In patients with mild AD, 24 weeks of treatment with orally administered neflamapimod showed a tendency towards the conservation of episodic memory (but only at high doses), interpreted as an indicator of mildly enhanced plasticity, with a moderate decrease in CSF neurogranin. The authors concluded that longer treatment and higher doses of this drug could be more effective for neuroplastic enhancement [116].
The enzyme glutaminyl cyclase promotes the formation of Aβ oligomers, which exert a toxic effect on synapses, leading to synaptic impairment, reduced connectivity, and a decreased spike number [49,124]. In biomarker-positive AD patients, the administration of PQ912, an inhibitor of this enzyme, reduced neurogranin CSF levels and decreased theta-wave activity in the brain, thus showing the ability of PQ912 to modulate neuronal activity. The authors propose that longer treatment may lead to a more significant disease-modifying effect [125]. Table 2 summarizes the targets.

5. Interventions Targeting Neuroplasticity in Animal Models of AD

Animal models provide the opportunity to address neuroplastic mechanisms directly at the level of the cell/tissue, giving them current relevance [126]. Studies reporting pharmacological interventions targeting different mechanisms of neuroplasticity in transgenic or induced AD animal models are categorized according to the main mechanism of action addressing changes in neuroplasticity (Figure 3).

5.1. Glucose Metabolism

We have already discussed the relationship between impaired glucose metabolism and insulin deficiency in AD in patients, making these inter-related processes possible therapeutic targets [127]. Furthermore, type 2 diabetes mellitus is a known predisposing or risk factor for AD. Both diseases share the desensitization of brain insulin receptors. The disruption of glucose metabolism and insulin deficiency can lead to neuronal death owing to deficits in energy metabolism, a decrease in neurotrophic factors, and the inhibition of the expression of genes that respond to insulin [128]. The administration of liraglutide, a drug that helps control glucose levels, reversed cognitive impairment in a mouse model and attenuated insulin receptor in a non-human primate model [129]. The administration of metformin was shown to rescue the decreased levels in synaptic protein SYP-1 promoted by the injection of Streptozotocin, used to induce AD in animal models that mimic the sporadic form of the disease [130]. One study analyzed the effect of the anti-diabetic drug sitagliptin in a transgenic mouse model of AD. Sitagliptin increased dendritic spine density, presumably through the BDNF-tyrosine kinase B signaling pathway, as it upregulated the levels of BDNF and tyrosine receptor kinase B (TrkB) [131]. Another study addressed the effects of exenatide, a synthetic analog of the glucagon-like peptide 1 currently employed for treating type 2 diabetes mellitus, on BDNF signaling, and showed a regulatory effect on this pathway [132]. Erythropoietin exerts neuroprotective effects and prevents neurodegeneration and toxicity in nervous cells. Its administration in a mouse model of induced-AD regulates BDNF and PSD-95 expression and attenuates the overexpression of NMDA receptors. Treatment with a NMDA receptor agonist abrogated the positive effects of erythropoietin on neuroplasticity [133].
Glucose-dependent insulinotropic polypeptide (GIP) is a peptide hormone of the incretin family that modulates insulin release and energy utilization, and could be a potential therapeutic factor in AD, in which energy utilization is significantly lower [134]. A novel, long-lasting GIP analog, the glucose-dependent insulinotropic polypeptide analogue (D-Ala2GIP), was found to increase LTP [135], neurogenesis, and synaptic number and plasticity in a transgenic mouse model [136]. GIP and (Pro3)GIP, a similar compound, enhanced LTP and promoted neurogenesis in the hippocampal CA1 region [137].
Lastly, though not an antidiabetic drug per se, tetramethylpyrazine, a compound found in the plant Ligusticum wallichii that exhibits powerful anti-diabetic properties, enhanced plasticity in a mouse model of induced AD that simulated the sporadic form of the disease, showing that these effects may not be circumscribed to the genetic, early onset form of AD [138].

5.2. Neurotrophic Compounds

Neurotrophins such as nerve growth factor (NGF), glial cell derived-neurotrophic factor (GDNF), and BDNF—the most important neuroplastic-inducing trophic factor—are molecules secreted in the nervous system that are considered to oversee the growth, survival, development, and plasticity of brain cells. It has been shown that BDNF and its receptor, TrkB, are required to consolidate LTP in the dentate gyrus [139]. BDNF increases the trafficking of AMPA receptors in the membrane [140], and is also related to an increase in synaptic density when administered exogenously [141]. The exogenous administration of BDNF has also been related to a novel form of synaptic plasticity in field CA3 of the hippocampus [142].
An alteration in neurotrophic activity is present in the pathogenesis of several neurodegenerative and psychiatric disorders, such as AD, Parkinson disease, Huntington disease, and schizophrenia spectrum disorders [84,142,143]. In AD, a disruption in neurotrophic metabolism leads to impaired neuroplasticity [144,145]. Pharmacological strategies aimed at improving neurotrophic potential have received increased attention of late [145,146]. Several such molecules have been studied in the context of brain aging, such as resveratrol, BDNF, and neurotrophic-type compounds such as rapamycin [146]. BDNF-targeting therapies require further investigation in the context of AD [147]. Studies on the administration of neurotrophic-type compounds include the neurotrophic-derived peptidergic compound (P021) used in a triple transgenic mouse model of AD. The authors reported a marked reduction in the abnormal hyperphosphorylation and accumulation of tau at known major AD neurofibrillary pathology-associated sites. P021 promoted a significant decrease in soluble Aβ levels and a mild tendency towards reduction in Aβ plaque load in the hippocampus, suggesting a reduction in Aβ generation but not its clearance [148]. P021 also had a positive effect on plasticity, but only when administered in the early stages of development (from birth to postnatal day 120): the treatment increased BDNF and ameliorated synaptic protein deficits in a triple transgenic mouse model at up to 4 months of age [149]. It also restored neurogenesis and increased BDNF in the cortex and hippocampus of aged rats, proving to be a potential therapeutic approach in AD as well as in cognitive decline related to aging [150]. Cerebrolysin is a peptide mixture that has neurotrophic effects and has been shown to improve neuroplasticity. Using an amyloid precursor protein transgenic mouse model, cerebrolysin was found to mildly restore neurogenesis by protecting NPC and decreasing the rate of apoptosis [151,152].
A positive allosteric modulator or Trk receptor, ACD856, increased the levels of BDNF in aged mice, adding to the results obtained in vitro demonstrating enhanced nerve growth factor activity and neurite outgrowth and increased levels of the synaptic protein SNAP25 [153].

5.3. Glutamatergic System

The activity of neurotransmitters and their receptors is essential to neuroplasticity [154]. To date, the only two families of approved drugs that target neurotransmitters are acetylcholinesterase inhibitors (including donepezil, galantamine, and rivastigmine) and an NMDA antagonist (memantine) [155]. Even though a vast amount of mechanistic knowledge is available on neurotransmitter activity deficits in AD in general, there are still no therapeutic drugs associated with neurotransmitter activity aimed at promoting plastic mechanisms [156].
Aβ exhibits glutamatergic excitotoxic effects: it enhances glutamate release and/or inhibits glutamate uptake by NMDA receptors in neurons and glial cells and increases the influx of Ca2+ into the neuron, thus promoting intracellular toxic events. This overstimulation constitutes one of the proposed etiopathogenic mechanisms for AD neurodegeneration [157]. Memantine targets this toxic effect by acting as a moderate affinity open-channel non-competitive inhibitor of NMDA receptors [158], though its efficacy has been questioned as it is not clear whether its therapeutic effects on neurotoxicity can be achieved without affecting cognition. Studies on this topic using animal models report contradicting results [159,160]. These receptors are crucial in LTP mechanisms, raising the question of whether memantine, currently approved for AD treatment, impairs or enhances NMDA receptor-dependent neuroplasticity. Memantine has been reported to rescue LTP impairment induced by soluble Aβ in the dentate gyrus without impairing cognitive performance, though over a certain dose-range it showed disruptive effects on synaptic plasticity and behavior, perhaps because of an excessive blockade of NMDA receptors [161]. Subtype-preferring NMDA receptor antagonists could provide a better and more specific strategy: one study showed that targeting NMDA receptors that contain the GluN2B subunit could prevent the inhibition of plasticity induced by Aβ toxicity [162].

5.4. Cholinergic System

Historically, cholinesterase inhibitors, which operate by rapidly degrading the endogenous neurotransmitter acetylcholine, were among the first drugs to be assayed in the context of AD. Today we know that galantamine also acts as a positive allosteric modulator of nAChRs, enhancing neurotransmitter release and Ca2+ signaling in neurons [84]. Besides their main effect on the brain, acetylcholinesterase agents can upregulate nAChR biosynthesis in cerebral cortex neurons [163]. This multi-target pharmacological effect is also shared by donepezil-related compounds [164]. The cholinergic hypothesis is a theoretical construct that provided the basis for employing anticholinesterase drugs in AD [165,166], the efficacy of which is still under debate [167]. Despite Tacrine being withdrawn from the market owing to its hepatotoxicity, the drug appears to improve cognitive performance in an AD transgenic animal model. Tacrine also increased the levels of NMDA receptor subunits NMDAR2A, NMDAR2B, and the synaptic-associated proteins PSD-95 and SYP [168]. Donepezil together with cerebrolysin showed a synergistic and protective effect on plasticity, promoting a wider dendritic arborization in pyramidal neurons of the prefrontal cortex, dorsal hippocampus, nucleus accumbens, and dentate gyrus [169].
Chronic nicotine administration has been shown to prevent Aβ-induced inhibition of synaptic transmission and LTP in the hippocampus; to downregulate α7 and α4 nAChRs, presumably by increasing BDNF levels [170]; and to increase dendritic density in the CA1 area of the hippocampus when administered chronically [171]. α7 nAChRs are considered a potential target owing to their essential role in different mechanisms of synaptic plasticity [172,173] (Figure 4).

5.5. Serotoninergic System

The serotonin 5-HT4 receptor participates in memory and learning processes and mechanisms of plasticity such as LTP. One study reported that in transgenic rats, the administration of BIMU8, an agonist of this receptor, not only improved cognitive deficits but also increased LTP in the hippocampus [174]. Fluoxetine is an antidepressant drug currently available on the market that has been found to exert neuroprotective and neuroplastic effects [175], but its effects on AD have not been sufficiently studied to date. In transgenic AD mice, the administration of Fluoxetine in early stages (adolescence) attenuates cognitive and synaptic deficits in the adult animals [176].
Citalopram is another antidepressant that can ameliorate Aβ production and deposition in AD mice and human brains. Additionally, the administration of citalopram in an animal AD model was shown to reverse Aβ-induced LTP impairment in the hippocampus. Its effect on LTP was explained by two mechanisms: (1) a restoration of the number of 5-HT receptors, which increases serotonin levels and restores LTP, and (2) a decrease in the levels of Aβ accumulation in the hippocampus, which is known to inhibit LTP [177]. LTP was also rescued by the chronic administration of the serotonin type 6 receptor (5-HT6R) antagonist [178] and by the chronic administration of a serotonin type 7 receptor (5-HT7R) agonist [179], in a rat model.

5.6. Dopaminergic System

The dopaminergic system is also involved in the regulation of plasticity, though its role in AD is still not clear. It has been reported that the malfunction of dopaminergic activity induces LTD and suppresses LTP, generating memory impairment [180]. Studies on therapeutic pharmacological strategies addressing the dopaminergic system in AD are scarce; it has been reported that an agonist of the D1-type dopamine receptor that also acts as a D2-type receptor antagonist improved hippocampal-dependent learning and memory and increased LTP in the hippocampus by improving the surface expression of GluA1-containing AMPA receptors [181]. Other studies have addressed the dopaminergic system in aged animals, but not specifically in AD [182].

5.7. Adenosine System

Adenosine is a homeostatic modulator of various physiological processes, including sleep and cardiac and cognitive functions [183]. Adenosine interacts with G-protein coupled receptors throughout the brain, thus contributing to neuronal signaling and cognition. Dysregulation of A2A adenosine receptors is observed in some AD patients. When compared to healthy controls, these receptors are significantly upregulated in the hippocampus and cortex, impairing the regulation of pro-inflammatory cytokine secretion associated with neuroinflammation [184,185]. The activation of hippocampal A2A regulates plasticity, especially glutamate release and NMDA receptor activation [186]. A2A antagonists have been studied in animal models and are reported to normalize the upregulation of A2A receptors, increase the expression of the synaptic markers syntaxin-1 and vGluT1, restore LTP amplitude, and improve cognitive performance [187]. Blocking these receptors inhibited the facilitation of LTP in hippocampus through BDNF [188].
Adenosine levels can also be increased by inhibiting the adenosine equilibrative nucleoside transporter 1 (ENT1), which oversees adenosine recycling from the extracellular space. In a transgenic mouse model of AD, an inhibitor of ENT1 was able to restore LTP and the levels of the glutamate receptor subunits NR2A and NR2B [189].

5.8. Enzymatic Pathways

In the brain, the enzyme protein kinase C (PKC) participates in the regulation of neurotransmitter release, cell proliferation and differentiation, gene expression, and neuroplasticity. PKC is involved in the development of AD pathophysiology through the alteration of its signaling pathways, which are associated with a decline in episodic memory [190]. Bryostatin, an activator of the PKC epsilon (PKCε) isozyme, has been demonstrated to restore synaptic and neuronal loss in transgenic mice at a stage akin to pre-clinical AD [191].
The presence of the α isoform of the p38 mitogen-activated-protein kinase (p38α) in neurons promotes inflammation, Aβ formation, and synaptic dysfunction, thus mediating age-related cognitive decline [192,193]. The inhibition of this protein serves to protect synapses and cognition in transgenic animal models of AD, thus constituting an additional target for synaptic pathology in this disease [194,195,196,197]. Another enzyme that has been targeted for AD treatment is glycogen synthase kinase-3β (GSK-3β). Inhibiting this enzyme could lead to the prevention of tau phosphorylation, a typical occurrence in postmortem AD brains. AZD1080 has been proposed as a selective GSK-3β inhibitor, which has been studied both in vitro and in vivo. AZD1080 inhibited tau phosphorylation in fibroblasts in culture, while in mice it reversed memory impairment and prevented LTP disruption when administered sub-chronically, but not acutely [198].
Berberine, the main active component of several herbs used in traditional Chinese medicine, has recently been proposed as a therapeutic strategy in AD. Berberine regulates the GSK-3β/PGC-1α signaling pathway by inhibiting GSK-3β activity [199], showing potential neuroprotective effects against oxidation, neuroinflammation [200], Aβ pathology, and tau hyperphosphorylation [200,201]. It has also been suggested that berberine modulates the extracellular signal-regulated kinase and protein kinase B signaling pathways in a transgenic model of AD, thus regulating plasticity, as the activation of this signaling pathway is related to the mechanism of neuroplasticity [202]. Another signaling pathway that is altered in AD is phosphoinositide dependent kinase 1 (PDK1)/AKT, which is involved in AB production and tau phosphorylation, as well as in cell survival and synaptic health [199]. Therapeutic strategies attempting to activate this signaling pathway include Salvia officinalis [203], curcumin [204], and trypchloride [205]. All these compounds have been reported to produce a certain degree of cognitive enhancement in animal models of AD and reduce neuropathology [202,206]. However, safety factors and bioavailability need to be further investigated [207].

5.9. Neuroinflammation

Metabolic pathologies constitute risk factors for AD, and it has been proposed that metabolic dysregulation, like insulin resistance, is a precursor to AD (especially the sporadic form, late onset AD). Several metabolopathies are comorbidities of AD. Metabolic diseases are intimately linked to the production of inflammatory cytokines and the accumulation of AD pathological byproducts in the brain, which is why compounds with anti-inflammatory action are being currently considered as possible therapeutic strategies [208]. Chronic metabolic stress and dysregulated AMP-activated protein kinase have been associated with the development of neurological diseases and aberrant neurogenesis [209,210]. A proinflammatory cytokine that has been targeted in AD is tumor necrosis factor-α (TNF-α), which is typically elevated in patients and animal models of AD. One such drug, 3,6’-dithiothalidomide, was studied in a transgenic AD model. It was demonstrated that this compound was able to increase the levels of synaptic protein SNAP25 and synaptophysin, which indicates a preserved synaptic function, and to enhance cognitive impairment [211].
Interleukin-1β is another pro-inflammatory cytokine whose expression is higher in AD patients. An inhibitor of the nucleotide-binding oligomerization domain-like receptor family, pyrin domain containing 3, dapansutrile, was shown to rescue LTP, though only at high doses [212]. Another cytokine that regulates inflammation, interleukin-2 (IL-2), was found to increase synaptic density in a transgenic mouse model of AD [213].
Sodium butyrate is an inhibitor of histone deacetylase and reduces the secretion of pro-inflammatory cytokines. A study investigating its effect after two weeks of administration reported improved plasticity as shown by increased LTP, higher dendritic density, and preserved levels of synaptic-related proteins PSD-95, SYP, and NR2B [214].

5.10. Lipid Metabolism

The strongest genetic risk factor for AD is the presence of the apolipoprotein E (ApoE) allele epsilon 4 (APOE4), which is present in roughly 50% of all cases, albeit with important ethnic variability [215]. ApoE4 is involved in lipid metabolism, most importantly in cholesterol transport, and cholesterol dyslipidemias are thought to be involved in AD pathogenesis [216]. It is believed that ApoE has a crucial role in generating Aβ protein, which in turn leads to defective neuronal sprouting and dysfunctional plasticity, synaptic loss, and ultimately, neurodegeneration [217,218]. ApoE4 impairs the function of NMDA glutamatergic receptors, and is involved in the metabolism, aggregation, and toxicity of Aβ peptide, tauopathy, synaptic plasticity, lipid transport, glucose metabolism, mitochondrial function, vascular integrity, and neuroinflammation, although the underlying processes are not well understood [219]. Therapeutic drugs that focus on modulating ApoE activity include statins, estrogen, anti-inflammatory drugs, and antioxidants [220,221]. Probucol, a cholesterol-lowering drug which induces ApoE production and peripheral circulation of this lipoprotein and one of its main receptors, LRP, increases the synthesis of the rate-limiting enzyme in cholesterol synthesis, reduces age-related glial activation, and induces the production of the synaptic marker SNAP-25, suggesting a potential role in supporting plasticity [222]. Another therapeutic strategy is to activate phospholipases, a group of enzymes that hydrolyze phospholipid substrates and protect from synaptic dysfunction and cognitive deficits [223,224,225]. Gene therapy has been proposed as a strategy to regulate cholesterol homeostasis by targeting 24-dehydrocholesterol reductase, which is usually downregulated in AD. This approach was tested in animal models. No outcomes related to neuroplasticity have been reported as yet [226].
Cholesterol is crucial for the regulation of nicotinic receptors in neuronal membranes, especially the α7 and α4 nAChR subtypes, which, as mentioned previously, are fundamental regulators of neuroplasticity and cognitive function, and their expression at the surface is essential for the correct functioning of the cholinergic neuron [216]. In cultured rat neurons, the statin-lowering drug lovastatin showed a regulatory function by modulating protein receptor levels at the cell surface [227]. Statins have pleiotropic actions, including immunomodulatory, anti-inflammatory and antioxidant effects that could also protect neurons in AD [228,229].
Adiponectin is an adipokine that regulates lipid metabolism, among other functions; it has recently been proposed that changes in its expression could be related to an increased risk of developing AD [230,231]. Adiponectin has been tested in a transgenic model of AD and been shown to rescue LTP [232,233].

6. Conclusions

Therapeutic strategies for AD are highly diverse, as are their putative mechanisms of action and the presumed etiopathogenic mechanisms they address. Here we have summarized the pharmacological strategies aimed at improving neuroplasticity and their reported outcomes in both clinical settings and animal model studies. The enhancement of LTP reported in several of these studies provides a positive scenario for future research addressing the correlation between neuroplasticity and improvements in the cognitive performance of AD patients. Whilst several studies in animal models show promising results, clinical trials are more discouraging, many reaching the conclusion that the efficacy of the therapeutic treatments is at best mild to moderate and suggesting that longer treatment or higher doses would be required to achieve significant changes in neuroplastic markers. Intervention in the early stages of the disease would therefore appear to be determinant, thus taking advantage of the fact that the brain still retains some plasticity despite the initial development of pathological hallmarks. It should also be taken into account that most of the experimental models providing encouraging results are carried out using transgenic animal models of AD, which are closer to the model of familial AD, whereas clinical trials mostly consider cases of sporadic AD, without the genetic alterations addressed in transgenic models. This could explain the differences between the two scenarios and should be addressed in future studies.

Author Contributions

Conceptualization, M.F.C. and F.J.B.; investigation, F.J.B. and M.F.C.; data curation, M.F.C. and F.J.B.; writing, original draft preparation, M.F.C. and F.J.B.; writing—review and editing, F.J.B.; supervision, F.J.B.; project administration, F.J.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

Thanks are due to Phyllis Johnson for critical reading of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. American Psychiatry Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed.; American Psychiatry Association: Arlington, VA, USA, 2013; pp. 591–644. [Google Scholar]
  2. What is Alzheimer’s. Available online: https://www.alz.org/alzheimers-dementia/what-is-alzheimers (accessed on 15 March 2023).
  3. Trambauer, J.; Fukumori, A.; Steiner, H. Pathogenic Aβ generation in familial Alzheimer’s disease: Novel mechanistic insights and therapeutic implications. Curr. Opin. Neurobiol. 2020, 61, 73–81. [Google Scholar] [CrossRef] [PubMed]
  4. Chávez-Gutiérrez, L.; Szaruga, M. Mechanisms of neurodegeneration—Insights from familial Alzheimer’s disease. Semin. Cell Dev. Biol. 2020, 105, 75–85. [Google Scholar] [CrossRef]
  5. Ulaganathan, S.; Pitchaimani, A. Spontaneous and familial models of Alzheimer’s disease: Challenges and advances in preclinical research. Life Sci. 2023, 328, 121918. [Google Scholar] [CrossRef] [PubMed]
  6. Farlow, M.; Arnold, S.; van Dyck, C.H.; Aisen, P.S.; Snider, B.; Porsteinsson, A.P.; Friedrich, S.; Dean, R.A.; Gonzales, C.; Sethuraman, G.; et al. Safety and biomarker effects of solanezumab in patients with Alzheimer’s disease. Alzheimer’s Dement. J. Alzheimer’s Assoc. 2012, 8, 261–271. [Google Scholar] [CrossRef]
  7. Mills, S.M.; Mallmann, J.; Santacruz, A.M.; Fuqua, A.; Carril, M.; Aisen, P.S.; Althage, M.C.; Belyew, S.; Benzinger, T.L.; Brooks, W.S.; et al. Preclinical trials in autosomal dominant AD: Implementation of the DIAN-TU trial. Rev. Neurol. 2013, 169, 737–743. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Serrano-Pozo, A.; Frosch, M.P.; Masliah, E.; Hyman, B.T. Neuropathological alterations in Alzheimer disease. Cold Spring Harb. Perspect. Med. 2011, 1, a006189. [Google Scholar] [CrossRef] [Green Version]
  9. Numakawa, T.; Kajihara, R. Neurotrophins and Other Growth Factors in the Pathogenesis of Alzheimer’s Disease. Life 2023, 13, 647. [Google Scholar] [CrossRef] [PubMed]
  10. Eavri, R.; Shepherd, J.; Welsh, C.A.; Flanders, G.H.; Bear, M.F.; Nedivi, E. Interneuron Simplification and Loss of Structural Plasticity as Markers of Aging-Related Functional Decline. J. Neurosci. 2018, 38, 8421–8432. [Google Scholar] [CrossRef]
  11. Motley, S.E.; Grossman, Y.S.; Janssen, W.G.M.; Baxter, M.G.; Rapp, P.R.; Dumitriu, D.; Morrison, J.H. Selective Loss of Thin Spines in Area 7a of the Primate Intraparietal Sulcus Predicts Age-Related Working Memory Impairment. J. Neurosci. 2018, 38, 10467–10478. [Google Scholar] [CrossRef] [Green Version]
  12. Morrison, J.H.; Baxter, M.G. The ageing cortical synapse: Hallmarks and implications for cognitive decline. Nat. Rev. Neurosci. 2012, 13, 240–250. [Google Scholar] [CrossRef] [Green Version]
  13. Colavitta, M.F.; Grasso, L.; Barrantes, F.J. Environmental Enrichment in murine models and its translation to human factors improving conditions in Alzheimer disease. J. Prev. Alzheimers Dis. 2023, 10, 287–300. [Google Scholar] [CrossRef]
  14. Tzioras, M.; McGeachan, R.I.; Durrant, C.S.; Spires-Jones, T.L. Synaptic degeneration in Alzheimer disease. Nat. Rev. Neurol. 2023, 19, 19–38. [Google Scholar] [CrossRef]
  15. von Bernhardi, R.; Bernhardi, L.E.; Eugenín, J. What Is Neural Plasticity? Adv. Exp. Med. Biol. 2017, 1015, 1–15. [Google Scholar] [CrossRef] [PubMed]
  16. Stern, Y.; Arenaza-Urquijo, E.M.; Bartrés-Faz, D.; Belleville, S.; Cantilon, M.; Chetelat, G.; Ewers, M.; Franzmeier, N.; Kempermann, G.; Kremen, W.S.; et al. Whitepaper: Defining and investigating cognitive reserve, brain reserve, and brain maintenance. Alzheimers Dement. 2020, 16, 1305–1311. [Google Scholar] [CrossRef] [PubMed]
  17. Kühn, S.; Lindenberger, U. Chapter 6. Research on Human Plasticity in Adulthood; Academic Press: Cambridge, MA, USA, 2016. [Google Scholar]
  18. Puderbaugh, M.; Emmady, P.D. Neuroplasticity. In StatPearls; StatPearls Publishing LLC.: Treasure Island, FL, USA, 2022. [Google Scholar]
  19. Koch, G.; Spampinato, D. Alzheimer disease and neuroplasticity. Handb. Clin. Neurol. 2022, 184, 473–479. [Google Scholar] [CrossRef]
  20. Grafman, J. Conceptualizing functional neuroplasticity. J. Commun. Disord. 2000, 33, 345–355, quiz 355–346. [Google Scholar] [CrossRef]
  21. Mercerón-Martínez, D.; Ibaceta-González, C.; Salazar, C.; Almaguer-Melian, W.; Bergado-Rosado, J.A.; Palacios, A.G. Alzheimer’s Disease, Neural Plasticity, and Functional Recovery. J. Alzheimers Dis. 2021, 82, S37–S50. [Google Scholar] [CrossRef] [PubMed]
  22. Gage, F.H. Structural plasticity of the adult brain. Dialogues Clin. Neurosci. 2004, 6, 135–141. [Google Scholar] [CrossRef]
  23. Fuchs, E.; Flügge, G. Adult neuroplasticity: More than 40 years of research. Neural. Plast. 2014, 2014, 541870. [Google Scholar] [CrossRef] [Green Version]
  24. Jackson, J.; Jambrina, E.; Li, J.; Marston, H.; Menzies, F.; Phillips, K.; Gilmour, G. Targeting the Synapse in Alzheimer’s Disease. Front. Neurosci. 2019, 13, 735. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Fide, E.; Hünerli-Gündüz, D.; Öztura, İ.; Yener, G.G. Hyperconnectivity matters in early-onset Alzheimer’s disease: A resting-state EEG connectivity study. Neurophysiol. Clin. 2022, 52, 459–471. [Google Scholar] [CrossRef] [PubMed]
  26. Glasgow, S.D.; McPhedrain, R.; Madranges, J.F.; Kennedy, T.E.; Ruthazer, E.S. Approaches and Limitations in the Investigation of Synaptic Transmission and Plasticity. Front. Synaptic Neurosci. 2019, 11, 20. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Smolen, P. A model of late long-term potentiation simulates aspects of memory maintenance. PLoS ONE 2007, 2, e445. [Google Scholar] [CrossRef] [PubMed]
  28. Massey, P.V.; Bashir, Z.I. Long-term depression: Multiple forms and implications for brain function. Trends Neurosci. 2007, 30, 176–184. [Google Scholar] [CrossRef] [PubMed]
  29. Collingridge, G.L.; Peineau, S.; Howland, J.G.; Wang, Y.T. Long-term depression in the CNS. Nat. Rev. Neurosci. 2010, 11, 459–473. [Google Scholar] [CrossRef]
  30. Krebs, C.; Brill, E.; Minkova, L.; Federspiel, A.; Kellner-Weldon, F.; Wyss, P.; Teunissen, C.E.; van Harten, A.C.; Seydell-Greenwald, A.; Klink, K.; et al. Investigating Compensatory Brain Activity in Older Adults with Subjective Cognitive Decline. J. Alzheimers Dis. 2023, 93, 107–124. [Google Scholar] [CrossRef]
  31. Fernández-Ballesteros, R.; Zamarrón, M.D.; Tárraga, L.; Moya, R.; Iñiguez, J. Cognitive plasticity in healthy, mild cognitive impairment (MCI) subjects and Alzheimer’s disease patients: A research project in Spain. Eur. Psychol. 2003, 8, 148–159. [Google Scholar] [CrossRef]
  32. Wield, K.H.; Wienobost, J.; Schöttke, H. Estimating rehabilitation potential in schizophrenic subjects. In The Treatment of Schizophrenia: Status and Emerging Trends; Hogrefe & Huber Pub: Cambridge, MA, USA, 2001; pp. 88–103. [Google Scholar]
  33. Visser, P.J.; Reus, L.M.; Gobom, J.; Jansen, I.; Dicks, E.; van der Lee, S.J.; Tsolaki, M.; Verhey, F.R.J.; Popp, J.; Martinez-Lage, P.; et al. Cerebrospinal fluid tau levels are associated with abnormal neuronal plasticity markers in Alzheimer’s disease. Mol. Neurodegener. 2022, 17, 27. [Google Scholar] [CrossRef]
  34. Warpechowski, M.; Warpechowski, J.; Kulczyńska-Przybik, A.; Mroczko, B. Biomarkers of Activity-Dependent Plasticity and Persistent Enhancement of Synaptic Transmission in Alzheimer Disease: A Review of the Current Status. Med. Sci. Monit. 2023, 29, e938826. [Google Scholar] [CrossRef]
  35. Elahi, F.M.; Casaletto, K.B.; La Joie, R.; Walters, S.M.; Harvey, D.; Wolf, A.; Edwards, L.; Rivera-Contreras, W.; Karydas, A.; Cobigo, Y.; et al. Plasma biomarkers of astrocytic and neuronal dysfunction in early- and late-onset Alzheimer’s disease. Alzheimers Dement. 2020, 16, 681–695. [Google Scholar] [CrossRef]
  36. Karami, A.; Darreh-Shori, T.; Schultzberg, M.; Eriksdotter, M. CSF and Plasma Cholinergic Markers in Patients with Cognitive Impairment. Front. Aging Neurosci. 2021, 13, 704583. [Google Scholar] [CrossRef] [PubMed]
  37. Díez-Guerra, F.J. Neurogranin, a link between calcium/calmodulin and protein kinase C signaling in synaptic plasticity. IUBMB Life 2010, 62, 597–606. [Google Scholar] [CrossRef]
  38. Thorsell, A.; Bjerke, M.; Gobom, J.; Brunhage, E.; Vanmechelen, E.; Andreasen, N.; Hansson, O.; Minthon, L.; Zetterberg, H.; Blennow, K. Neurogranin in cerebrospinal fluid as a marker of synaptic degeneration in Alzheimer’s disease. Brain Res. 2010, 1362, 13–22. [Google Scholar] [CrossRef]
  39. Irfan, M.; Gopaul, K.R.; Miry, O.; Hökfelt, T.; Stanton, P.K.; Bark, C. SNAP-25 isoforms differentially regulate synaptic transmission and long-term synaptic plasticity at central synapses. Sci. Rep. 2019, 9, 6403. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Brinkmalm, A.; Brinkmalm, G.; Honer, W.; Frölich, L.; Hausner, L.; Minthon, L.; Hansson, O.; Wallin, A.; Zetterberg, H.; Blennow, K.; et al. SNAP-25 is a promising novel cerebrospinal fluid biomarker for synapse degeneration in Alzheimer’s disease. Mol. Neurodegener. 2014, 9, 53. [Google Scholar] [CrossRef] [Green Version]
  41. Tyler, W.J.; Alonso, M.; Bramham, C.R.; Pozzo-Miller, L.D. From acquisition to consolidation: On the role of brain-derived neurotrophic factor signaling in hippocampal-dependent learning. Learn. Mem. 2002, 9, 224–237. [Google Scholar] [CrossRef] [Green Version]
  42. Laske, C.; Stransky, E.; Leyhe, T.; Eschweiler, G.; Wittorf, A.; Richartz, E.; Bartels, M.; Buchkremer, G.; Schott, K. Stage-dependent BDNF serum concentrations in Alzheimer’s disease. J. Neural Transm. 2006, 113, 1217–1224. [Google Scholar] [CrossRef] [PubMed]
  43. Yasutake, C.; Kuroda, K.; Yanagawa, T.; Okamura, T.; Yoneda, H. Serum BDNF, TNF-α and IL-1β levels in dementia patients: Comparison between Alzheimer’s disease and vascular dementia. Eur. Arch. Psychiatry Clin. Neurosci. 2006, 256, 402–406. [Google Scholar] [CrossRef]
  44. Matthews, P. Brain plasticity and clinical applications of fMRI. Riv. Neuroradiol. 2005, 18, 493–501. [Google Scholar] [CrossRef]
  45. Luo, Y.; Sun, T.; Ma, C.; Zhang, X.; Ji, Y.; Fu, X.; Ni, H. Alterations of Brain Networks in Alzheimer’s Disease and Mild Cognitive Impairment: A Resting State fMRI Study Based on a Population-specific Brain Template. Neuroscience 2021, 452, 192–207. [Google Scholar] [CrossRef]
  46. Holtzman, D.; Morris, J.; Goate, A. Alzheimer’s disease: The challenge of the second century. Sci. Transl. Med. 2011, 3, 77sr1. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Selkoe, D.J. Deciphering Alzheimer’s disease: The amyloid precursor protein yields new clues. Science 1990, 248, 1058–1060. [Google Scholar] [CrossRef] [PubMed]
  48. Hardy, J.A.; Higgins, G.A. Alzheimer’s disease: The amyloid cascade hypothesis. Science 1992, 256, 184–185. [Google Scholar] [CrossRef] [PubMed]
  49. Babic, T. The cholinergic hypothesis of Alzheimer’s disease: A review of progress. J. Neurol. Neurosurg. Psychiatry 1999, 67, 558. [Google Scholar] [CrossRef] [Green Version]
  50. Francis, P.T.; Palmer, A.M.; Snape, M.; Wilcock, G.K. The cholinergic hypothesis of Alzheimer’s disease: A review of progress. J. Neurol. Neurosurg. Psychiatry 1999, 66, 137–147. [Google Scholar] [CrossRef]
  51. Selkoe, D.J. Alzheimer’s disease is a synaptic failure. Science 2002, 298, 789–791. [Google Scholar] [CrossRef] [Green Version]
  52. Masliah, E.; Mallory, M.; Alford, M.; DeTeresa, R.; Hansen, L.; McKeel, D.; Morris, J. Altered expression of synaptic proteins occurs early during progression of Alzheimer’s disease. Neurology 2001, 56, 127–129. [Google Scholar] [CrossRef] [Green Version]
  53. Koffie, R.M.; Hyman, B.T.; Spires-Jones, T.L. Alzheimer’s disease: Synapses gone cold. Mol. Neurodegener. 2011, 6, 63. [Google Scholar] [CrossRef] [Green Version]
  54. Lanz, T.; Carter, D.; Merchant, K. Dendritic spine loss in the hippocampus of young PDAPP and Tg2576 mice and its prevention by the ApoE2 genotype. Neurobiol. Dis. 2003, 13, 246–253. [Google Scholar] [CrossRef]
  55. Walsh, D.M.; Klyubin, I.; Fadeeva, J.V.; Cullen, W.K.; Anwyl, R.; Wolfe, M.S.; Rowan, M.J.; Selkoe, D.J. Naturally secreted oligomers of amyloid β protein potently inhibit hippocampal long-term potentiation in vivo. Nature 2002, 416, 535–539. [Google Scholar] [CrossRef]
  56. Li, S.; Hong, S.; Shepardson, N.E.; Walsh, D.M.; Shankar, G.M.; Selkoe, D. Soluble oligomers of amyloid Beta protein facilitate hippocampal long-term depression by disrupting neuronal glutamate uptake. Neuron 2009, 62, 788–801. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Zhou, Q.; Homma, K.J.; Poo, M.M. Shrinkage of dendritic spines associated with long-term depression of hippocampal synapses. Neuron 2004, 44, 749–757. [Google Scholar] [CrossRef] [Green Version]
  58. Selkoe, D.J. Soluble oligomers of the amyloid beta-protein impair synaptic plasticity and behavior. Behav. Brain Res. 2008, 192, 106–113. [Google Scholar] [CrossRef] [Green Version]
  59. Bäckman, L.; Andersson, J.; Nyberg, L.; Winblad, B.; Nordberg, A.; Almkvist, O. Brain regions associated with episodic retrieval in normal aging and Alzheimer’s disease. Neurology 1999, 52, 1861. [Google Scholar] [CrossRef]
  60. Terry, R.D.; Masliah, E.; Salmon, D.P.; Butters, N.; DeTeresa, R.; Hill, R.; Hansen, L.A.; Katzman, R. Physical basis of cognitive alterations in Alzheimer’s disease: Synapse loss is the major correlate of cognitive impairment. Ann. Neurol. Off. J. Am. Neurol. Assoc. Child Neurol. Soc. 1991, 30, 572–580. [Google Scholar] [CrossRef] [PubMed]
  61. Bekdash, R.A. The Cholinergic System, the Adrenergic System and the Neuropathology of Alzheimer’s Disease. Int. J. Mol. Sci. 2021, 22, 1273. [Google Scholar] [CrossRef]
  62. de Aquino, C. Methodological issued in randomized clinical trials for prodromal Alzheimer’s and Parkinson’s disease. Front. Neurol. 2021, 12, 694329. [Google Scholar] [CrossRef]
  63. Medications for Memory, Cognition and Dementia-Related Behaviors. Available online: https://www.alz.org/alzheimers-dementia/treatments/medications-for-memory?lang=en-US (accessed on 7 July 2023).
  64. Fink, H.A.; Hemmy, L.S.; Linskens, E.J.; Silverman, P.C.; MacDonald, R.; McCarten, R.; Talley, K.M.; Desai, P.J.; Forte, M.L.; Miller, M.A.; et al. AHRQ comparative efectiveness reviews. In Diagnosis and Treatment of Clinical Alzheimer’s Type Dementia: A Systematic Review; Agency for Healthcare Research and Quality (US): Rockville, MD, USA, 2020. [Google Scholar]
  65. Watermeyer, T.; Calia, C. Neuropsychological assessment in preclinical and prodromal Alzheimer disease: A global perspective. J. Glob. Health 2019, 9, 010317. [Google Scholar] [CrossRef] [PubMed]
  66. Glynn-Servedio, B.E.; Ranola, T.S. AChE Inhibitors and NMDA Receptor Antagonists in Advanced Alzheimer’s Disease. Consult. Pharm. J. Am. Soc. Consult. Pharm. 2017, 32, 511–518. [Google Scholar] [CrossRef]
  67. Athar, T.; Al Balushi, K.; Khan, S.A. Recent advances on drug development and emerging therapeutic agents for Alzheimer’s disease. Mol. Biol. Rep. 2021, 48, 5629–5645. [Google Scholar] [CrossRef]
  68. Nordberg, A.; Lilja, A.; Lundqvist, H.; Hartvig, P.; Amberla, K.; Viitanen, M.; Warpman, U.; Johansson, M.; Hellström-Lindahl, E.; Bjurling, P.; et al. Tacrine restores cholinergic nicotinic receptors and glucose metabolism in Alzheimer patients as visualized by positron emission tomography. Neurobiol. Aging 1992, 13, 747–758. [Google Scholar] [CrossRef] [PubMed]
  69. Auld, D.S.; Kornecook, T.J.; Bastianetto, S.; Quirion, R. Alzheimer’s disease and the basal forebrain cholinergic system: Relations to beta-amyloid peptides, cognition, and treatment strategies. Prog. Neurobiol. 2002, 68, 209–245. [Google Scholar] [CrossRef]
  70. Sevigny, J.; Chiao, P.; Bussière, T.; Weinreb, P.H.; Williams, L.; Maier, M.; Dunstan, R.; Salloway, S.; Chen, T.; Ling, Y.; et al. The antibody aducanumab reduces Aβ plaques in Alzheimer’s disease. Nature 2016, 537, 50–56. [Google Scholar] [CrossRef] [PubMed]
  71. Reiman, E.M. Alzheimer’s disease: Attack on amyloid-[beta] protein. Nature 2016, 537, 36–37. [Google Scholar] [CrossRef] [Green Version]
  72. Musiek, E.S.; Morris, J.C. Possible Consequences of the Approval of a Disease-Modifying Therapy for Alzheimer Disease. JAMA Neurol. 2020, 78, 141–142. [Google Scholar] [CrossRef] [PubMed]
  73. Rosenberg, R.N.; Lambracht-Washington, D. Active Immunotherapy to Prevent Alzheimer Disease—A DNA Amyloid β 1-42 Trimer Vaccine. JAMA Neurol. 2020, 77, 289–290. [Google Scholar] [CrossRef]
  74. Cummings, J.; Lee, G.; Nahed, P.; Kambar, M.; Zhong, K.; Fonseca, J.; Taghva, K. Alzheimer’s disease drug development pipeline: 2022. Alzheimers Dement. 2022, 8, e12295. [Google Scholar] [CrossRef]
  75. Iliyasu, M.O.; Musa, S.A.; Oladele, S.B.; Iliya, A.I. Amyloid-beta aggregation implicates multiple pathways in Alzheimer’s disease: Understanding the mechanisms. Front. Neurosci. 2023, 17, 1081938. [Google Scholar] [CrossRef]
  76. Takada-Takatori, Y.; Kume, T.; Sugimoto, M.; Katsuki, H.; Sugimoto, H.; Akaike, A. Acetylcholinesterase inhibitors used in treatment of Alzheimer’s disease prevent glutamate neurotoxicity via nicotinic acetylcholine receptors and phosphatidylinositol 3-kinase cascade. Neuropharmacology 2006, 51, 474–486. [Google Scholar] [CrossRef]
  77. Wenk, G.L.; McGann, K.; Mencarelli, A.; Hauss-Wegrzyniak, B.; Del, S.P.; Fiorucci, S. Mechanisms to prevent the toxicity of chronic neuroinflammation on forebrain cholinergic neurons. Eur. J. Pharmacol. 2000, 402, 77–85. [Google Scholar] [CrossRef]
  78. Cheng, J.; Dong, Y.; Ma, J.; Pan, R.; Liao, Y.; Kong, X.; Li, X.; Li, S.; Chen, P.; Wang, L.; et al. Microglial Calhm2 regulates neuroinflammation and contributes to Alzheimer’s disease pathology. Sci. Adv. 2021, 7, eabe3600. [Google Scholar] [CrossRef]
  79. Guerrero, A.; De Strooper, B.; Arancibia-Cárcamo, I.L. Cellular senescence at the crossroads of inflammation and Alzheimer’s disease. Trends Neurosci. 2021, 44, 714–727. [Google Scholar] [CrossRef]
  80. Tyagi, E.; Agrawal, R.; Nath, C.; Shukla, R. Inhibitory role of cholinergic system mediated via {alpha}7 nicotinic acetylcholine receptor in LPS-induced neuro-inflammation. Innate Immun. 2009, 16, 3–13. [Google Scholar] [CrossRef] [Green Version]
  81. Borroni, V.; Barrantes, F.J. Homomeric and Heteromeric α7 Nicotinic Acetylcholine Receptors in Health and Some Central Nervous System Diseases. Membranes 2021, 11, 664. [Google Scholar] [CrossRef]
  82. Tyagi, E.; Agrawal, R.; Nath, C.; Shukla, R. Cholinergic protection via α7 nicotinic acetylcholine receptors and PI3K-Akt pathway in LPS-induced neuroinflammation. Neurochem. Int. 2010, 56, 135–142. [Google Scholar] [CrossRef]
  83. Perez-Lloret, S.; Peralta, M.C.; Barrantes, F.J. Pharmacotherapies for Parkinson’s disease symptoms related to cholinergic degeneration. Expert Opin. Pharmacother. 2016, 17, 2405–2415. [Google Scholar] [CrossRef]
  84. Dajas-Bailador, F.A.; Heimala, K.; Wonnacott, S. The allosteric potentiation of nicotinic acetylcholine receptors by galantamine is transduced into cellular responses in neurons: Ca2+ signals and neurotransmitter release. Mol. Pharmacol. 2003, 64, 1217–1226. [Google Scholar] [CrossRef] [Green Version]
  85. Pereira, E.F.; Hilmas, C.; Santos, M.D.; Alkondon, M.; Maelicke, A.; Albuquerque, E.X. Unconventional ligands and modulators of nicotinic receptors. J. Neurobiol. 2002, 53, 479–500. [Google Scholar] [CrossRef]
  86. Akk, G.; Steinbach, J.H. Galantamine activates muscle-type nicotinic acetylcholine receptors without binding to the acetylcholine-binding site. J. Neurosci. 2005, 25, 1992–2001. [Google Scholar] [CrossRef] [Green Version]
  87. Arias, E.; Alés, E.; Gabilan, N.H.; Cano-Abad, M.F.; Villarroya, M.; García, A.G.; López, M.G. Galantamine prevents apoptosis induced by β-amyloid and thapsigargin: Involvement of nicotinic acetylcholine receptors. Neuropharmacology 2004, 46, 103–114. [Google Scholar] [CrossRef]
  88. Wang, D.; Noda, Y.; Zhou, Y.; Mouri, A.; Mizoguchi, H.; Nitta, A.; Chen, W.; Nabeshima, T. The Allosteric Potentiation of Nicotinic Acetylcholine Receptors by Galantamine Ameliorates the Cognitive Dysfunction in Beta Amyloid(25-35) i.c.v.-Injected Mice: Involvement of Dopaminergic Systems. Neuropsychopharmacology 2006, 32, 1261–1271. [Google Scholar] [CrossRef] [PubMed]
  89. Moriguchi, S.; Zhao, X.; Marszalec, W.; Yeh, J.Z.; Fukunaga, K.; Narahashi, T. Nefiracetam and galantamine modulation of excitatory and inhibitory synaptic transmission via stimulation of neuronal nicotinic acetylcholine receptors in rat cortical neurons. Neuroscience 2009, 160, 484–491. [Google Scholar] [CrossRef]
  90. Liu, Y.; Zhang, Y.; Zheng, X.; Fang, T.; Yang, X.; Luo, X.; Guo, A.; Newell, K.A.; Huang, X.F.; Yu, Y. Galantamine improves cognition, hippocampal inflammation, and synaptic plasticity impairments induced by lipopolysaccharide in mice. J. Neuroinflammation 2018, 15, 112. [Google Scholar] [CrossRef] [Green Version]
  91. Macdonald, R.; Barnes, K.; Hastings, C.; Mortiboys, H. Mitochondrial abnormalities in Parkinson’s disease and Alzheimer’s disease: Can mitochondria be targeted therapeutically? Biochem. Soc. Trans. 2018, 46, 891–909. [Google Scholar] [CrossRef]
  92. Lewcock, J.W.; Schlepckow, K.; Di Paolo, G.; Tahirovic, S.; Monroe, K.M.; Haass, C. Emerging Microglia Biology Defines Novel Therapeutic Approaches for Alzheimer’s Disease. Neuron 2020, 108, 801–821. [Google Scholar] [CrossRef]
  93. Button, E.B.; Robert, J.; Caffrey, T.M.; Fan, J.; Zhao, W.; Wellington, C.L. HDL from an Alzheimer’s disease perspective. Curr. Opin. Lipidol. 2019, 30, 224–234. [Google Scholar] [CrossRef]
  94. Farlow, M.; Thompson, R.; Wei, L.-J.; Tuchman, A.; Grenier, E.; Crockford, D.; Wilke, S.; Benison, J.; Alkon, D. A Randomized, Double-Blind, Placebo-Controlled, Phase II Study Assessing Safety, Tolerability, and Efficacy of Bryostatin in the Treatment of Moderately Severe to Severe Alzheimer’s Disease. J. Alzheimer’s Dis. 2018, 67, 555–570. [Google Scholar] [CrossRef]
  95. Piscopo, P.; Crestini, A.; Carbone, E.; Rivabene, R.; Ancidoni, A.; Lo Giudice, M.; Corbo, M.; Vanacore, N.; Lacorte, E. A systematic review on drugs for synaptic plasticity in the treatment of dementia. Ageing Res. Rev. 2022, 81, 101726. [Google Scholar] [CrossRef]
  96. Hill, N.L.; Kolanowski, A.M.; Gill, D.J. Plasticity in Early Alzheimer’s Disease: An Opportunity for Intervention. Top. Geriatr. Rehabil. 2011, 27, 257–267. [Google Scholar] [CrossRef]
  97. Lazarov, O.; Hollands, C.; Bartolotti, N. Alzheimer’s disease and Hippocampal Adult Neurogenesis; Exploring Shared Mechanisms. Front. Neurosci. 2016, 10, 178. [Google Scholar] [CrossRef] [Green Version]
  98. De Felice, F.G.; Vieira, M.N.; Bomfim, T.R.; Decker, H.; Velasco, P.T.; Lambert, M.P.; Viola, K.L.; Zhao, W.Q.; Ferreira, S.T.; Klein, W.L. Protection of synapses against Alzheimer’s-linked toxins: Insulin signaling prevents the pathogenic binding of Abeta oligomers. Proc. Natl. Acad. Sci. USA 2009, 106, 1971–1976. [Google Scholar] [CrossRef] [PubMed]
  99. Edwards, G.A., III; Gamez, N.; Escobedo, G., Jr.; Calderon, O.; Moreno-Gonzalez, I. Modifiable Risk Factors for Alzheimer’s Disease. Front. Aging Neurosci. 2019, 11, 146. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  100. Ahmed, S.; Mahmood, Z.; Javed, A.; Hashmi, S.N.; Zerr, I.; Zafar, S.; Zahid, S. Effect of Metformin on Adult Hippocampal Neurogenesis: Comparison with Donepezil and Links to Cognition. J. Mol. Neurosci. 2017, 62, 88–98. [Google Scholar] [CrossRef]
  101. Ayaz, M.; Sadiq, A.; Junaid, M.; Ullah, F.; Subhan, F.; Ahmed, J. Neuroprotective and Anti-Aging Potentials of Essential Oils from Aromatic and Medicinal Plants. Front. Aging Neurosci. 2017, 9, 168. [Google Scholar] [CrossRef] [Green Version]
  102. Zhou, G.; Yuan-Lin Ma, J.; Chen, G. ARL6IP1 Mediates Small-molecule-induced Alleviation of Alzheimer Pathology Through FXR1-dependent BACE1 Translation Initiation. Proc. Natl. Acad. Sci. USA 2023, 120, e2220148120. [Google Scholar] [CrossRef] [PubMed]
  103. Brickman, A.; Yeung, L.; Alschuler, D.; Ottaviani, J.; Kuhnle, G.; Sloan, R.; Luttmann-Gibson, H.; Copeland, T.; Schroeter, H.; Sesso, H.; et al. Dietary flavonols restore hippocampal-dependent memory in older adults with lower diet quality and lower habitual flavonol consumption. Proc. Natl. Acad. Sci. USA 2023, 120, e2216932120. [Google Scholar] [CrossRef]
  104. Cummings, J.; Fox, N. Defining Disease Modifying Therapy for Alzheimer’s Disease. J. Prev. Alzheimers Dis. 2017, 4, 109–115. [Google Scholar] [CrossRef]
  105. Cummings, J.L.; Tong, G.; Ballard, C. Treatment Combinations for Alzheimer’s Disease: Current and Future Pharmacotherapy Options. J. Alzheimers Dis. 2019, 67, 779–794. [Google Scholar] [CrossRef]
  106. Tong, M.; Deochand, C.; Didsbury, J.; de la Monte, S.M. T3D-959: A Multi-Faceted Disease Remedial Drug Candidate for the Treatment of Alzheimer’s Disease. J. Alzheimers Dis. 2016, 51, 123–138. [Google Scholar] [CrossRef]
  107. Chamberlain, S.; Gabriel, H.; Strittmatter, W.; Didsbury, J. An Exploratory Phase IIa Study of the PPAR delta/gamma Agonist T3D-959 Assessing Metabolic and Cognitive Function in Subjects with Mild to Moderate Alzheimer’s Disease. J. Alzheimers Dis. 2020, 73, 1085–1103. [Google Scholar] [CrossRef]
  108. Li, S.; Selkoe, D.J. A mechanistic hypothesis for the impairment of synaptic plasticity by soluble Aβ oligomers from Alzheimer’s brain. J. Neurochem. 2020, 154, 583–597. [Google Scholar] [CrossRef]
  109. Cummings, J.; Ortiz, A.; Castellino, J.; Kinney, J. Diabetes: Risk factor and translational therapeutic implications for Alzheimer’s disease. Eur. J. Neurosci. 2022, 56, 5727–5757. [Google Scholar] [CrossRef] [PubMed]
  110. Wang, R.; Reddy, P.H. Role of Glutamate and NMDA Receptors in Alzheimer’s Disease. J. Alzheimers Dis. 2017, 57, 1041–1048. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  111. Al-Horani, R.A. Riluzole and its prodrugs for the treatment of Alzheimer’s disease. Pharm. Pat. Anal. 2023, 12, 79–85. [Google Scholar] [CrossRef] [PubMed]
  112. Matthews, D.C.; Mao, X.; Dowd, K.; Tsakanikas, D.; Jiang, C.S.; Meuser, C.; Andrews, R.D.; Lukic, A.S.; Lee, J.; Hampilos, N.; et al. Riluzole, a glutamate modulator, slows cerebral glucose metabolism decline in patients with Alzheimer’s disease. Brain 2021, 144, 3742–3755. [Google Scholar] [CrossRef]
  113. Xiang, Y.; Xin, J.; Le, W.; Yang, Y. Neurogranin: A Potential Biomarker of Neurological and Mental Diseases. Front. Aging Neurosci. 2020, 12, 584743. [Google Scholar] [CrossRef]
  114. Wang, H.Y.; Pei, Z.; Lee, K.C.; Lopez-Brignoni, E.; Nikolov, B.; Crowley, C.A.; Marsman, M.R.; Barbier, R.; Friedmann, N.; Burns, L.H. PTI-125 Reduces Biomarkers of Alzheimer’s Disease in Patients. J. Prev. Alzheimers Dis. 2020, 7, 256–264. [Google Scholar] [CrossRef]
  115. Tormählen, N.M.; Martorelli, M.; Kuhn, A.; Maier, F.; Guezguez, J.; Burnet, M.; Albrecht, W.; Laufer, S.A.; Koch, P. Design and Synthesis of Highly Selective Brain Penetrant p38α Mitogen-Activated Protein Kinase Inhibitors. J. Med. Chem. 2022, 65, 1225–1242. [Google Scholar] [CrossRef]
  116. Prins, N.D.; Harrison, J.E.; Chu, H.M.; Blackburn, K.; Alam, J.J.; Scheltens, P. A phase 2 double-blind placebo-controlled 24-week treatment clinical study of the p38 alpha kinase inhibitor neflamapimod in mild Alzheimer’s disease. Alzheimers Res. Ther. 2021, 13, 106. [Google Scholar] [CrossRef]
  117. Schupp, M.; Malsam, J.; Ruiter, M.; Scheutzow, A.; Wierda, K.D.; Söllner, T.H.; Sørensen, J.B. Interactions Between SNAP-25 and Synaptotagmin-1 Are Involved in Vesicle Priming, Clamping Spontaneous and Stimulating Evoked Neurotransmission. J. Neurosci. 2016, 36, 11865–11880. [Google Scholar] [CrossRef] [Green Version]
  118. Zhang, F.-X.; Sun, Q.-J.; Zheng, X.-Y.; Lin, Y.-T.; Shang, W.; Wang, A.-H.; Duan, R.-S.; Chi, Z.-F. Abnormal Expression of Synaptophysin, SNAP-25, and Synaptotagmin 1 in the Hippocampus of Kainic Acid-Exposed Rats with Behavioral Deficits. Cell. Mol. Neurobiol. 2014, 34, 813–824. [Google Scholar] [CrossRef] [PubMed]
  119. Nct. Effect of CT1812 Treatment on Brain Synaptic Density. 2018. Available online: https://clinicaltrials.gov/show/NCT03493282 (accessed on 23 June 2023).
  120. Catalano, S.M.; Schneider, L.S.; DeKosky, S.; Morgan, R.; Rehak, C.; Silky, C.; Mozzoni, K.; Izzo, N.J.; Grundman, M.; Schirm, M.; et al. CT1812 exhibits a synaptoprotective effect in Alzheimer’s disease patients. Neurotherapeutics 2018, 15, 819–820. [Google Scholar]
  121. Rishton, G.M.; Look, G.C.; Ni, Z.J.; Zhang, J.; Wang, Y.; Huang, Y.; Wu, X.; Izzo, N.J.; LaBarbera, K.M.; Limegrover, C.S.; et al. Discovery of Investigational Drug CT1812, an Antagonist of the Sigma-2 Receptor Complex for Alzheimer’s Disease. ACS Med. Chem. Lett. 2021, 12, 1389–1395. [Google Scholar] [CrossRef] [PubMed]
  122. Izzo, N.J.; Yuede, C.M.; LaBarbera, K.M.; Limegrover, C.S.; Rehak, C.; Yurko, R.; Waybright, L.; Look, G.; Rishton, G.; Safferstein, H.; et al. Preclinical and clinical biomarker studies of CT1812: A novel approach to Alzheimer’s disease modification. Alzheimers Dement. 2021, 17, 1365–1382. [Google Scholar] [CrossRef]
  123. Alam, J.; Blackburn, K.; Patrick, D. Neflamapimod: Clinical Phase 2b-Ready Oral Small Molecule Inhibitor of p38α to Reverse Synaptic Dysfunction in Early Alzheimer’s Disease. J. Prev. Alzheimers Dis. 2017, 4, 273–278. [Google Scholar] [CrossRef]
  124. Nussbaum, J.M.; Schilling, S.; Cynis, H.; Silva, A.; Swanson, E.; Wangsanut, T.; Tayler, K.; Wiltgen, B.; Hatami, A.; Rönicke, R.; et al. Prion-like behaviour and tau-dependent cytotoxicity of pyroglutamylated amyloid-β. Nature 2012, 485, 651–655. [Google Scholar] [CrossRef] [Green Version]
  125. Scheltens, P.; Hallikainen, M.; Grimmer, T.; Duning, T.; Gouw, A.A.; Teunissen, C.E.; Wink, A.M.; Maruff, P.; Harrison, J.; van Baal, C.M.; et al. Safety, tolerability and efficacy of the glutaminyl cyclase inhibitor PQ912 in Alzheimer’s disease: Results of a randomized, double-blind, placebo-controlled phase 2a study. Alzheimers Res. Ther. 2018, 10, 107. [Google Scholar] [CrossRef] [Green Version]
  126. Kempermann, G. Environmental enrichment, new neurons and the neurobiology of individuality. Nat. Rev. Neurosci. 2019, 20, 235–245. [Google Scholar] [CrossRef]
  127. Lauretti, E.; Li, J.G.; Di Meco, A.; Praticò, D. Glucose deficit triggers tau pathology and synaptic dysfunction in a tauopathy mouse model. Transl. Psychiatry 2017, 7, e1020. [Google Scholar] [CrossRef]
  128. de la Monte, S.M. Insulin resistance and Alzheimer’s disease. BMB Rep. 2009, 42, 475–481. [Google Scholar] [CrossRef]
  129. Batista, A.F.; Forny-Germano, L.; Clarke, J.R.; Lyra, E.S.N.M.; Brito-Moreira, J.; Boehnke, S.E.; Winterborn, A.; Coe, B.C.; Lablans, A.; Vital, J.F.; et al. The diabetes drug liraglutide reverses cognitive impairment in mice and attenuates insulin receptor and synaptic pathology in a non-human primate model of Alzheimer’s disease. J. Pathol. 2018, 245, 85–100. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  130. Pilipenko, V.; Narbute, K.; Pupure, J.; Langrate, I.K.; Muceniece, R.; Kluša, V. Neuroprotective potential of antihyperglycemic drug metformin in streptozocin-induced rat model of sporadic Alzheimer’s disease. Eur. J. Pharmacol. 2020, 881, 173290. [Google Scholar] [CrossRef] [PubMed]
  131. Dong, Q.; Teng, S.W.; Wang, Y.; Qin, F.; Li, Y.; Ai, L.L.; Yu, H. Sitagliptin protects the cognition function of the Alzheimer’s disease mice through activating glucagon-like peptide-1 and BDNF-TrkB signalings. Neurosci. Lett. 2019, 696, 184–190. [Google Scholar] [CrossRef]
  132. Bomba, M.; Granzotto, A.; Castelli, V.; Onofrj, M.; Lattanzio, R.; Cimini, A.; Sensi, S.L. Exenatide Reverts the High-Fat-Diet-Induced Impairment of BDNF Signaling and Inflammatory Response in an Animal Model of Alzheimer’s Disease. J. Alzheimers Dis. 2019, 70, 793–810. [Google Scholar] [CrossRef]
  133. Yan, W.; Guo, T.; Liu, N.; Cui, X.; Wei, X.; Sun, Y.; Hu, H.; Chen, L. Erythropoietin ameliorates cognitive deficits by improving hippocampal and synaptic damage in streptozotocin-induced diabetic mice. Cell Signal. 2023, 106, 110614. [Google Scholar] [CrossRef]
  134. Zhang, Z.Q.; Hölscher, C. GIP has neuroprotective effects in Alzheimer and Parkinson’s disease models. Peptides 2020, 125, 170184. [Google Scholar] [CrossRef]
  135. Yuan, L.; Zhang, J.; Guo, J.H.; Holscher, C.; Yang, J.T.; Wu, M.N.; Wang, Z.J.; Cai, H.Y.; Han, L.N.; Shi, H.; et al. DAla2-GIP-GLU-PAL Protects Against Cognitive Deficits and Pathology in APP/PS1 Mice by Inhibiting Neuroinflammation and Upregulating cAMP/PKA/CREB Signaling Pathways. J. Alzheimers Dis. 2021, 80, 695–713. [Google Scholar] [CrossRef] [PubMed]
  136. Faivre, E.; Hölscher, C. D-Ala2GIP facilitated synaptic plasticity and reduces plaque load in aged wild type mice and in an Alzheimer’s disease mouse model. J. Alzheimers Dis. 2013, 35, 267–283. [Google Scholar] [CrossRef]
  137. Faivre, E.; Hamilton, A.; Hölscher, C. Effects of acute and chronic administration of GIP analogues on cognition, synaptic plasticity and neurogenesis in mice. Eur. J. Pharmacol. 2012, 674, 294–306. [Google Scholar] [CrossRef]
  138. Deng, C.; Meng, Z.; Chen, H.; Meng, S. Tetramethylpyrazine ameliorates systemic streptozotocin-induced Alzheimer-like pathology. J. Chem. Neuroanat. 2023, 127, 102207. [Google Scholar] [CrossRef]
  139. Panja, D.; Kenney, J.W.; D’Andrea, L.; Zalfa, F.; Vedeler, A.; Wibrand, K.; Fukunaga, R.; Bagni, C.; Proud, C.G.; Bramham, C.R. Two-stage translational control of dentate gyrus LTP consolidation is mediated by sustained BDNF-TrkB signaling to MNK. Cell Rep. 2014, 9, 1430–1445. [Google Scholar] [CrossRef] [PubMed]
  140. Fortin, D.A.; Srivastava, T.; Dwarakanath, D.; Pierre, P.; Nygaard, S.; Derkach, V.A.; Soderling, T.R. Brain-derived neurotrophic factor activation of CaM-kinase kinase via transient receptor potential canonical channels induces the translation and synaptic incorporation of GluA1-containing calcium-permeable AMPA receptors. J. Neurosci. 2012, 32, 8127–8137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  141. Briz, V.; Liu, Y.; Zhu, G.; Bi, X.; Baudry, M. A novel form of synaptic plasticity in field CA3 of hippocampus requires GPER1 activation and BDNF release. J. Cell Biol. 2015, 210, 1225–1237. [Google Scholar] [CrossRef]
  142. Vallés, A.S.; Borroni, M.V.; Barrantes, F.J. Targeting brain α7 nicotinic acetylcholine receptors in Alzheimer’s disease: Rationale and current status. CNS Drugs 2014, 28, 975–987. [Google Scholar] [CrossRef] [PubMed]
  143. Vallés, A.S.; Barrantes, F.J. Dysregulation of neuronal nicotinic acetylcholine receptor–cholesterol crosstalk in autism spectrum disorder. Front. Mol. Neurosci. 2021, 14, 744597. [Google Scholar] [CrossRef]
  144. Baazaoui, N.; Iqbal, K. Alzheimer’s Disease: Challenges and a Therapeutic Opportunity to Treat It with a Neurotrophic Compound. Biomolecules 2022, 12, 1409. [Google Scholar] [CrossRef]
  145. Sangiovanni, E.; Brivio, P.; Dell’Agli, M.; Calabrese, F. Botanicals as Modulators of Neuroplasticity: Focus on BDNF. Neural Plast. 2017, 2017, 5965371. [Google Scholar] [CrossRef] [Green Version]
  146. Flores, I.O.; Treviño, S.; Díaz, A. Neurotrophic fragments as therapeutic alternatives to ameliorate brain aging. Neural Regen. Res. 2023, 18, 51–56. [Google Scholar] [CrossRef]
  147. Gao, L.; Zhang, Y.; Sterling, K.; Song, W. Brain-derived neurotrophic factor in Alzheimer’s disease and its pharmaceutical potential. Transl. Neurodegener. 2022, 11, 4. [Google Scholar] [CrossRef]
  148. Kazim, S.F.; Blanchard, J.; Dai, C.L.; Tung, Y.C.; LaFerla, F.M.; Iqbal, I.G.; Iqbal, K. Disease modifying effect of chronic oral treatment with a neurotrophic peptidergic compound in a triple transgenic mouse model of Alzheimer’s disease. Neurobiol. Dis. 2014, 71, 110–130. [Google Scholar] [CrossRef]
  149. Wei, W.; Liu, Y.; Dai, C.L.; Baazaoui, N.; Tung, Y.C.; Liu, F.; Iqbal, K. Neurotrophic Treatment Initiated During Early Postnatal Development Prevents the Alzheimer-Like Behavior and Synaptic Dysfunction. J. Alzheimers Dis. 2021, 82, 631–646. [Google Scholar] [CrossRef]
  150. Bolognin, S.; Buffelli, M.; Puoliväli, J.; Iqbal, K. Rescue of cognitive-aging by administration of a neurogenic and/or neurotrophic compound. Neurobiol. Aging 2014, 35, 2134–2146. [Google Scholar] [CrossRef] [PubMed]
  151. Rockenstein, E.; Mante, M.; Adame, A.; Crews, L.; Moessler, H.; Masliah, E. Effects of Cerebrolysin on neurogenesis in an APP transgenic model of Alzheimer’s disease. Acta Neuropathol. 2007, 113, 265–275. [Google Scholar] [CrossRef] [PubMed]
  152. Rockenstein, E.; Adame, A.; Mante, M.; Moessler, H.; Windisch, M.; Masliah, E. The neuroprotective effects of Cerebrolysin in a transgenic model of Alzheimer’s disease are associated with improved behavioral performance. J. Neural Transm. 2003, 110, 1313–1327. [Google Scholar] [CrossRef] [PubMed]
  153. Parrado-Fernandez, C.; Juric, S.; Backlund, M.; Dahlström, M.; Madjid, N.; Lidell, V.; Rasti, A.; Sandin, J.; Nordvall, G.; Forsell, P. Neuroprotective and Disease Modifying Effects of the Triazinetrione ACD856, a Positive Allosteric Modulator of Trk-Receptors for the Treatment of Cognitive Dysfunction in Alzheimer’s Disease. Int. J. Mol. Sci. 2023, 24, 11159. [Google Scholar] [CrossRef] [PubMed]
  154. Yang, Z.; Zou, Y.; Wang, L. Neurotransmitters in Prevention and Treatment of Alzheimer’s Disease. Int. J. Mol. Sci. 2023, 24, 3841. [Google Scholar] [CrossRef]
  155. Anand, R.; Gill, K.D.; Mahdi, A.A. Therapeutics of Alzheimer’s disease: Past, present and future. Neuropharmacology 2014, 76 Pt A, 27–50. [Google Scholar] [CrossRef]
  156. Kandimalla, R.; Reddy, P.H. Therapeutics of Neurotransmitters in Alzheimer’s Disease. J. Alzheimer’s Dis. JAD 2017, 57, 1049–1069. [Google Scholar] [CrossRef]
  157. Kabir, M.T.; Sufian, M.A.; Uddin, M.S.; Begum, M.M.; Akhter, S.; Islam, A.; Mathew, B.; Islam, M.S.; Amran, M.S.; Md Ashraf, G. NMDA Receptor Antagonists: Repositioning of Memantine as a Multitargeting Agent for Alzheimer’s Therapy. Curr. Pharm. Des. 2019, 25, 3506–3518. [Google Scholar] [CrossRef]
  158. Lipton, S.A. Pathologically activated therapeutics for neuroprotection. Nat. Rev. Neurosci. 2007, 8, 803–808. [Google Scholar] [CrossRef]
  159. Creeley, C.; Wozniak, D.F.; Labruyere, J.; Taylor, G.T.; Olney, J.W. Low doses of memantine disrupt memory in adult rats. J. Neurosci. Off. J. Soc. Neurosci. 2006, 26, 3923–3932. [Google Scholar] [CrossRef] [Green Version]
  160. Morè, L.; Gravius, A.; Nagel, J.; Valastro, B.; Greco, S.; Danysz, W. Therapeutically relevant plasma concentrations of memantine produce significant L-N-methyl-D-aspartate receptor occupation and do not impair learning in rats. Behav. Pharmacol. 2008, 19, 724–734. [Google Scholar] [CrossRef]
  161. Klyubin, I.; Wang, Q.; Reed, M.N.; Irving, E.A.; Upton, N.; Hofmeister, J.; Cleary, J.P.; Anwyl, R.; Rowan, M.J. Protection against Aβ-mediated rapid disruption of synaptic plasticity and memory by memantine. Neurobiol. Aging 2011, 32, 614–623. [Google Scholar] [CrossRef]
  162. Hu, N.W.; Klyubin, I.; Anwyl, R.; Rowan, M.J. GluN2B subunit-containing NMDA receptor antagonists prevent Abeta-mediated synaptic plasticity disruption in vivo. Proc. Natl. Acad. Sci. USA 2009, 106, 20504–20509. [Google Scholar] [CrossRef]
  163. Kume, T.; Sugimoto, M.; Takada, Y.; Yamaguchi, T.; Yonezawa, A.; Katsuki, H.; Sugimoto, H.; Akaike, A. Up-regulation of nicotinic acetylcholine receptors by central-type acetylcholinesterase inhibitors in rat cortical neurons. Eur. J. Pharmacol. 2005, 527, 77–85. [Google Scholar] [CrossRef]
  164. Unzeta, M.; Esteban, G.; Bolea, I.; Fogel, W.A.; Ramsay, R.R.; Youdim, M.B.H.; Tipton, K.F.; Marco-Contelles, J. Multi-Target Directed Donepezil-Like Ligands for Alzheimer’s Disease. Front. Neurosci. 2016, 10, 205. [Google Scholar] [CrossRef] [Green Version]
  165. Aranda-Abreu, G.E.; Hernández-Aguilar, M.E.; Manzo Denes, J.; García Hernández, L.I.; Herrera Rivero, M. Rehabilitating a brain with Alzheimer’s: A proposal. Clin. Interv. Aging 2011, 6, 53–59. [Google Scholar] [CrossRef] [Green Version]
  166. Muñoz-Torrero, D. Acetylcholinesterase inhibitors as disease-modifying therapies for Alzheimer’s disease. Curr. Med. Chem. 2008, 15, 2433–2455. [Google Scholar] [CrossRef]
  167. Cummings, J.L.; Morstorf, T.; Zhong, K. Alzheimer’s disease drug-development pipeline: Few candidates, frequent failures. Alzheimers Res. Ther. 2014, 6, 37. [Google Scholar] [CrossRef] [Green Version]
  168. Li, K.; Jiang, Y.; Li, G.; Liu, T.; Yang, Z. Novel Multitarget Directed Tacrine Hybrids as Anti-Alzheimer’s Compounds Improved Synaptic Plasticity and Cognitive Impairment in APP/PS1 Transgenic Mice. ACS Chem. Neurosci. 2020, 11, 4316–4328. [Google Scholar] [CrossRef]
  169. Alcántara-González, F.; Mendoza-Perez, C.R.; Zaragoza, N.; Juarez, I.; Arroyo-García, L.E.; Gamboa, C.; De La Cruz, F.; Zamudio, S.; Garcia-Dolores, F.; Flores, G. Combined administration of cerebrolysin and donepezil induces plastic changes in prefrontal cortex in aged mice. Synapse 2012, 66, 938–949. [Google Scholar] [CrossRef]
  170. Srivareerat, M.; Tran, T.T.; Salim, S.; Aleisa, A.M.; Alkadhi, K.A. Chronic nicotine restores normal Aβ levels and prevents short-term memory and E-LTP impairment in Aβ rat model of Alzheimer’s disease. Neurobiol. Aging 2011, 32, 834–844. [Google Scholar] [CrossRef]
  171. Esteves, I.M.; Lopes-Aguiar, C.; Rossignoli, M.T.; Ruggiero, R.N.; Broggini, A.C.S.; Bueno-Junior, L.S.; Kandratavicius, L.; Monteiro, M.R.; Romcy-Pereira, R.N.; Leite, J.P. Chronic nicotine attenuates behavioral and synaptic plasticity impairments in a streptozotocin model of Alzheimer’s disease. Neuroscience 2017, 353, 87–97. [Google Scholar] [CrossRef]
  172. Dinklo, T.; Shaban, H.; Thuring, J.W.; Lavreysen, H.; Stevens, K.E.; Zheng, L.; Mackie, C.; Grantham, C.; Vandenberk, I.; Meulders, G.; et al. Characterization of 2-[[4-fluoro-3-(trifluoromethyl)phenyl]amino]-4-(4-pyridinyl)-5-thiazolemethanol (JNJ-1930942), a novel positive allosteric modulator of the {alpha}7 nicotinic acetylcholine receptor. J. Pharmacol. Exp. Ther. 2011, 336, 560–574. [Google Scholar] [CrossRef] [Green Version]
  173. Chen, L.; Yamada, K.; Nabeshima, T.; Sokabe, M. alpha7 Nicotinic acetylcholine receptor as a target to rescue deficit in hippocampal LTP induction in beta-amyloid infused rats. Neuropharmacology 2006, 50, 254–268. [Google Scholar] [CrossRef]
  174. Hashemi-Firouzi, N.; Shahidi, S.; Soleimani Asl, S. Chronic stimulation of the serotonergic 5-HT4 receptor modulates amyloid-beta-related impairments in synaptic plasticity and memory deficits in male rats. Brain Res. 2021, 1773, 147701. [Google Scholar] [CrossRef]
  175. Levy, M.J.F.; Boulle, F.; Emerit, M.B.; Poilbout, C.; Steinbusch, H.W.M.; Van den Hove, D.L.A.; Kenis, G.; Lanfumey, L. 5-HTT independent effects of fluoxetine on neuroplasticity. Sci. Rep. 2019, 9, 6311. [Google Scholar] [CrossRef] [Green Version]
  176. Sun, D.S.; Gao, L.F.; Jin, L.; Wu, H.; Wang, Q.; Zhou, Y.; Fan, S.; Jiang, X.; Ke, D.; Lei, H.; et al. Fluoxetine administration during adolescence attenuates cognitive and synaptic deficits in adult 3 × TgAD mice. Neuropharmacology 2017, 126, 200–212. [Google Scholar] [CrossRef]
  177. Wei, Z.; Junhong, G.; Xiaoyuan, N.; Jie, W.; Zhaojun, W.; Meina, W.; Wei, Y.; Jun, Z.; Jinshun, Q. Citalopram Ameliorates Impairments in Spatial Memory and Synaptic Plasticity in Female 3xTgAD Mice. BioMed Res. Int. 2017, 2017, 1238687. [Google Scholar] [CrossRef] [Green Version]
  178. Shahidi, S.; Hashemi-Firouzi, N.; Asl, S.S.; Komaki, A. Serotonin type 6 receptor antagonist attenuates the impairment of long-term potentiation and memory induced by Abeta. Behav. Brain Res. 2019, 364, 205–212. [Google Scholar] [CrossRef]
  179. Shahidi, S.; Asl, S.S.; Komaki, A.; Hashemi-Firouzi, N. The effect of chronic stimulation of serotonin receptor type 7 on recognition, passive avoidance memory, hippocampal long-term potentiation, and neuronal apoptosis in the amyloid β protein treated rat. Psychopharmacology 2018, 235, 1513–1525. [Google Scholar] [CrossRef]
  180. Moreno-Castilla, P.; Rodriguez-Duran, L.F.; Guzman-Ramos, K.; Barcenas-Femat, A.; Escobar, M.L.; Bermudez-Rattoni, F. Dopaminergic neurotransmission dysfunction induced by amyloid-β transforms cortical long-term potentiation into long-term depression and produces memory impairment. Neurobiol. Aging 2016, 41, 187–199. [Google Scholar] [CrossRef]
  181. Hao, J.R.; Sun, N.; Lei, L.; Li, X.Y.; Yao, B.; Sun, K.; Hu, R.; Zhang, X.; Shi, X.D.; Gao, C. L-Stepholidine rescues memory deficit and synaptic plasticity in models of Alzheimer’s disease via activating dopamine D1 receptor/PKA signaling pathway. Cell Death Dis. 2015, 6, e1965. [Google Scholar] [CrossRef] [Green Version]
  182. Kouhnavardi, S.; Ecevitoglu, A.; Dragačević, V.; Sanna, F.; Arias-Sandoval, E.; Kalaba, P.; Kirchhofer, M.; Lubec, J.; Niello, M.; Holy, M.; et al. A Novel and Selective Dopamine Transporter Inhibitor, (S)-MK-26, Promotes Hippocampal Synaptic Plasticity and Restores Effort-Related Motivational Dysfunctions. Biomolecules 2022, 12, 881. [Google Scholar] [CrossRef]
  183. Rahman, A. The role of adenosine in Alzheimer’s disease. Curr. Neuropharmacol. 2009, 7, 207–216. [Google Scholar] [CrossRef] [Green Version]
  184. Costenla, A.R.; Diógenes, M.J.; Canas, P.M.; Rodrigues, R.J.; Nogueira, C.; Maroco, J.; Agostinho, P.M.; Ribeiro, J.A.; Cunha, R.A.; de Mendonça, A. Enhanced role of adenosine A(2A) receptors in the modulation of LTP in the rat hippocampus upon ageing. Eur. J. Neurosci. 2011, 34, 12–21. [Google Scholar] [CrossRef]
  185. Rebola, N.; Lujan, R.; Cunha, R.A.; Mulle, C. Adenosine A2A receptors are essential for long-term potentiation of NMDA-EPSCs at hippocampal mossy fiber synapses. Neuron 2008, 57, 121–134. [Google Scholar] [CrossRef] [Green Version]
  186. Gessi, S.; Poloni, T.E.; Negro, G.; Varani, K.; Pasquini, S.; Vincenzi, F.; Borea, P.A.; Merighi, S. A(2A) Adenosine Receptor as a Potential Biomarker and a Possible Therapeutic Target in Alzheimer’s Disease. Cells 2021, 10, 2344. [Google Scholar] [CrossRef]
  187. Silva, A.C.; Lemos, C.; Gonçalves, F.Q.; Pliássova, A.V.; Machado, N.J.; Silva, H.B.; Canas, P.M.; Cunha, R.A.; Lopes, J.P.; Agostinho, P. Blockade of adenosine A(2A) receptors recovers early deficits of memory and plasticity in the triple transgenic mouse model of Alzheimer’s disease. Neurobiol. Dis. 2018, 117, 72–81. [Google Scholar] [CrossRef]
  188. Jerónimo-Santos, A.; Batalha, V.L.; Müller, C.E.; Baqi, Y.; Sebastião, A.M.; Lopes, L.V.; Diógenes, M.J. Impact of in vivo chronic blockade of adenosine A2A receptors on the BDNF-mediated facilitation of LTP. Neuropharmacology 2014, 83, 99–106. [Google Scholar] [CrossRef]
  189. Lee, C.C.; Chang, C.P.; Lin, C.J.; Lai, H.L.; Kao, Y.H.; Cheng, S.J.; Chen, H.M.; Liao, Y.P.; Faivre, E.; Buée, L.; et al. Adenosine Augmentation Evoked by an ENT1 Inhibitor Improves Memory Impairment and Neuronal Plasticity in the APP/PS1 Mouse Model of Alzheimer’s Disease. Mol. Neurobiol. 2018, 55, 8936–8952. [Google Scholar] [CrossRef]
  190. Alkon, D.L.; Sun, M.K.; Nelson, T.J. PKC signaling deficits: A mechanistic hypothesis for the origins of Alzheimer’s disease. Trends Pharmacol. Sci. 2007, 28, 51–60. [Google Scholar] [CrossRef]
  191. Hongpaisan, J.; Sun, M.K.; Alkon, D.L. PKC ε activation prevents synaptic loss, Aβ elevation, and cognitive deficits in Alzheimer’s disease transgenic mice. J. Neurosci. 2011, 31, 630–643. [Google Scholar] [CrossRef] [Green Version]
  192. Navarrete, M.; Cuartero, M.I.; Palenzuela, R.; Draffin, J.E.; Konomi, A.; Serra, I.; Colié, S.; Castaño-Castaño, S.; Hasan, M.T.; Nebreda, Á.R.; et al. Astrocytic p38α MAPK drives NMDA receptor-dependent long-term depression and modulates long-term memory. Nat. Commun. 2019, 10, 2968. [Google Scholar] [CrossRef] [Green Version]
  193. Huentelman, M.J.; Piras, I.S.; Siniard, A.L.; De Both, M.D.; Richholt, R.F.; Balak, C.D.; Jamshidi, P.; Bigio, E.H.; Weintraub, S.; Loyer, E.T.; et al. Associations of MAP2K3 Gene Variants with Superior Memory in SuperAgers. Front. Aging Neurosci. 2018, 10, 155. [Google Scholar] [CrossRef] [Green Version]
  194. Alam, J.J. Selective Brain-Targeted Antagonism of p38 MAPKα Reduces Hippocampal IL-1β Levels and Improves Morris Water Maze Performance in Aged Rats. J. Alzheimers Dis. 2015, 48, 219–227. [Google Scholar] [CrossRef]
  195. Kheiri, G.; Dolatshahi, M.; Rahmani, F.; Rezaei, N. Role of p38/MAPKs in Alzheimer’s disease: Implications for amyloid beta toxicity targeted therapy. Rev. Neurosci. 2018, 30, 9–30. [Google Scholar] [CrossRef]
  196. Gee, M.S.; Son, S.H.; Jeon, S.H.; Do, J.; Kim, N.; Ju, Y.J.; Lee, S.J.; Chung, E.K.; Inn, K.S.; Kim, N.J.; et al. A selective p38α/β MAPK inhibitor alleviates neuropathology and cognitive impairment, and modulates microglia function in 5XFAD mouse. Alzheimers Res. Ther. 2020, 12, 45. [Google Scholar] [CrossRef] [Green Version]
  197. Roy, S.M.; Grum-Tokars, V.L.; Schavocky, J.P.; Saeed, F.; Staniszewski, A.; Teich, A.F.; Arancio, O.; Bachstetter, A.D.; Webster, S.J.; Van Eldik, L.J.; et al. Targeting human central nervous system protein kinases: An isoform selective p38αMAPK inhibitor that attenuates disease progression in Alzheimer’s disease mouse models. ACS Chem. Neurosci. 2015, 6, 666–680. [Google Scholar] [CrossRef] [Green Version]
  198. Georgievska, B.; Sandin, J.; Doherty, J.; Mörtberg, A.; Neelissen, J.; Andersson, A.; Gruber, S.; Nilsson, Y.; Schött, P.; Arvidsson, P.I.; et al. AZD1080, a novel GSK3 inhibitor, rescues synaptic plasticity deficits in rodent brain and exhibits peripheral target engagement in humans. J. Neurochem. 2013, 125, 446–456. [Google Scholar] [CrossRef]
  199. Yang, M.; Wang, J. Berberine Ameliorates Cognitive Disorder via GSK3β/PGC-1α Signaling in APP/PS1 Mice. J. Nutr. Sci. Vitaminol. 2022, 68, 228–235. [Google Scholar] [CrossRef]
  200. Singh, A.K.; Singh, S.K.; Nandi, M.K.; Mishra, G.; Maurya, A.; Rai, A.; Rai, G.K.; Awasthi, R.; Sharma, B.; Kulkarni, G.T. Berberine: A Plant-derived Alkaloid with Therapeutic Potential to Combat Alzheimer’s disease. Cent. Nerv. Syst. Agents Med. Chem. 2019, 19, 154–170. [Google Scholar] [CrossRef]
  201. Wang, Y.Y.; Yan, Q.; Huang, Z.T.; Zou, Q.; Li, J.; Yuan, M.H.; Wu, L.Q.; Cai, Z.Y. Ameliorating Ribosylation-Induced Amyloid-β Pathology by Berberine via Inhibiting mTOR/p70S6K Signaling. J. Alzheimer’s Dis. JAD 2021, 79, 833–844. [Google Scholar] [CrossRef]
  202. Wei, W.; Yao, J.-X.; Zhang, T.-T.; Wen, J.-Y.; Zhang, Z.; Luo, Y.-M.; Cao, Y.; Li, H. Network pharmacology reveals that Berberine may function against Alzheimer’s disease via the AKT signaling pathway. Front. Neurosic. 2023, 17, 1059496. [Google Scholar] [CrossRef]
  203. Akhondzadeh, S.; Noroozian, M.; Mohammadi, M.; Ohadinia, S.; Jamshidi, A.H.; Khani, M. Salvia officinalis extract in the treatment of patients with mild to moderate Alzheimer’s disease: A double blind, randomized and placebo-controlled trial. J. Clin. Pharm. Ther. 2003, 28, 53–59. [Google Scholar] [CrossRef]
  204. Wang, C.; Zhang, X.; Teng, Z.; Zhang, T.; Li, Y. Downregulation of PI3K/Akt/mTOR signaling pathway in curcumin-induced autophagy in APP/PS1 double transgenic mice. Eur. J. Pharmacol. 2014, 740, 312–320. [Google Scholar] [CrossRef]
  205. Zeng, Y.; Zhang, J.; Zhu, Y.; Zhang, J.; Shen, H.; Lu, J.; Pan, X.; Lin, N.; Dai, X.; Zhou, M.; et al. Tripchlorolide improves cognitive deficits by reducing amyloid β and upregulating synapse-related proteins in a transgenic model of Alzheimer’s Disease. J. Neurochem. 2015, 133, 38–52. [Google Scholar] [CrossRef]
  206. Yi, J.H.; Baek, S.J.; Heo, S.; Park, H.J.; Kwon, H.; Lee, S.; Jung, J.; Park, S.J.; Kim, B.C.; Lee, Y.C.; et al. Direct pharmacological Akt activation rescues Alzheimer’s disease like memory impairments and aberrant synaptic plasticity. Neuropharmacology 2018, 128, 282–292. [Google Scholar] [CrossRef]
  207. Yang, S.; Du, Y.; Zhao, X.; Wu, C.; Yu, P. Reducing PDK1/Akt Activity: An Effective Therapeutic Target in the Treatment of Alzheimer’s Disease. Cells 2022, 11, 1735. [Google Scholar] [CrossRef]
  208. Yang, A.J.T.; Bagit, A.; MacPherson, R.E.K. Resveratrol, Metabolic Dysregulation, and Alzheimer’s Disease: Considerations for Neurogenerative Disease. Int. J. Mol. Sci. 2021, 22, 4628. [Google Scholar] [CrossRef]
  209. Amato, S.; Man, H.Y. Bioenergy sensing in the brain: The role of AMP-activated protein kinase in neuronal metabolism, development and neurological diseases. Cell Cycle 2011, 10, 3452–3460. [Google Scholar] [CrossRef] [Green Version]
  210. Ma, T.; Chen, Y.; Vingtdeux, V.; Zhao, H.; Viollet, B.; Marambaud, P.; Klann, E. Inhibition of AMP-activated protein kinase signaling alleviates impairments in hippocampal synaptic plasticity induced by amyloid β. J. Neurosci. 2014, 34, 12230–12238. [Google Scholar] [CrossRef] [Green Version]
  211. Tweedie, D.; Ferguson, R.A.; Fishman, K.; Frankola, K.A.; Van Praag, H.; Holloway, H.W.; Luo, W.; Li, Y.; Caracciolo, L.; Russo, I.; et al. Tumor necrosis factor-α synthesis inhibitor 3,6’-dithiothalidomide attenuates markers of inflammation, Alzheimer pathology and behavioral deficits in animal models of neuroinflammation and Alzheimer’s disease. J. Neuroinflammation 2012, 9, 106. [Google Scholar] [CrossRef]
  212. Lonnemann, N.; Hosseini, S.; Marchetti, C.; Skouras, D.B.; Stefanoni, D.; D’Alessandro, A.; Dinarello, C.A.; Korte, M. The NLRP3 inflammasome inhibitor OLT1177 rescues cognitive impairment in a mouse model of Alzheimer’s disease. Proc. Natl. Acad. Sci. USA 2020, 117, 32145–32154. [Google Scholar] [CrossRef]
  213. Alves, S.; Churlaud, G.; Audrain, M.; Michaelsen-Preusse, K.; Fol, R.; Souchet, B.; Braudeau, J.; Korte, M.; Klatzmann, D.; Cartier, N. Interleukin-2 improves amyloid pathology, synaptic failure and memory in Alzheimer’s disease mice. Brain 2017, 140, 826–842. [Google Scholar] [CrossRef]
  214. Jiang, Y.; Li, K.; Li, X.; Xu, L.; Yang, Z. Sodium butyrate ameliorates the impairment of synaptic plasticity by inhibiting the neuroinflammation in 5XFAD mice. Chem. Biol. Interact. 2021, 341, 109452. [Google Scholar] [CrossRef]
  215. Serrano, E.; Sanz, P.; Barrantes, F.J. The impact of apolipoprotein E allelic variants on Alzheimer disease. In Psychiatry and Neuroscience Update; Gargiulo, P.A., Mesones, H.L., Eds.; Springer International Publishing AG: New York, NY, USA, 2021. [Google Scholar]
  216. Barrantes, F.J.; Borroni, V.; Vallés, S. Neuronal nicotinic acetylcholine receptor–cholesterol crosstalk in Alzheimer’s disease. FEBS Lett. 2010, 584, 1856–1863. [Google Scholar] [CrossRef] [Green Version]
  217. Kanekiyo, T.; Xu, H.; Bu, G. ApoE and Aβ in Alzheimer’s disease: Accidental encounters or partners? Neuron 2014, 81, 740–754. [Google Scholar] [CrossRef] [Green Version]
  218. Liu, D.S.; Pan, X.D.; Zhang, J.; Shen, H.; Collins, N.C.; Cole, A.M.; Koster, K.P.; Ben Aissa, M.; Dai, X.M.; Zhou, M.; et al. APOE4 enhances age-dependent decline in cognitive function by down-regulating an NMDA receptor pathway in EFAD-Tg mice. Mol. Neurodegener. 2015, 10, 7. [Google Scholar] [CrossRef] [Green Version]
  219. Zhao, N.; Liu, C.C.; Qiao, W.; Bu, G. Apolipoprotein E, Receptors, and Modulation of Alzheimer’s Disease. Biol. Psychiatry 2018, 83, 347–357. [Google Scholar] [CrossRef]
  220. Teter, B. ApoE-dependent plasticity in Alzheimer’s disease. J. Mol. Neurosci. 2004, 23, 167–179. [Google Scholar] [CrossRef]
  221. Michikawa, M. The role of cholesterol in pathogenesis of Alzheimer’s disease: Dual metabolic interaction between amyloid beta-protein and cholesterol. Mol. Neurobiol. 2003, 27, 1–12. [Google Scholar] [CrossRef]
  222. Champagne, D.; Pearson, D.; Dea, D.; Rochford, J.; Poirier, J. The cholesterol-lowering drug probucol increases apolipoprotein E production in the hippocampus of aged rats: Implications for Alzheimer’s disease. Neuroscience 2003, 121, 99–110. [Google Scholar] [CrossRef]
  223. 224 Oliveira, T.G.; Chan, R.B.; Tian, H.; Laredo, M.; Shui, G.; Staniszewski, A.; Zhang, H.; Wang, L.; Kim, T.W.; Duff, K.E.; et al. Phospholipase d2 ablation ameliorates Alzheimer’s disease-linked synaptic dysfunction and cognitive deficits. J. Neurosci. 2010, 30, 16419–16428. [Google Scholar] [CrossRef] [Green Version]
  224. Schaeffer, E.L.; Forlenza, O.V.; Gattaz, W.F. Phospholipase A2 activation as a therapeutic approach for cognitive enhancement in early-stage Alzheimer disease. Psychopharmacology 2009, 202, 37–51. [Google Scholar] [CrossRef]
  225. Bernard, J.; Lahsaini, A.; Massicotte, G. Potassium-induced long-term potentiation in area CA1 of the hippocampus involves phospholipase activation. Hippocampus 1994, 4, 447–453. [Google Scholar] [CrossRef]
  226. Zhang, W.; Huang, Y.; Guo, X.; Zhang, M.; Yuan, X.; Zu, H. DHCR24 Reverses Alzheimer’s Disease-related Pahtology and Cognitive Impairment Via Increasing Hippocampal Cholesterol Levels in 5 × FAD Mice. Acta Neuropathol. 2023, 11, 102. [Google Scholar] [CrossRef]
  227. Borroni, V.; Kamerbeek, C.; Pediconi, M.F.; Barrantes, F.J. Lovastatin Differentially Regulates α7 and α4 Neuronal Nicotinic Acetylcholine Receptor Levels in Rat Hippocampal Neurons. Molecules 2020, 25, 4838. [Google Scholar] [CrossRef]
  228. Sodero, A.O.; Barrantes, F.J. Pleiotropic effects of statins on brain cells. Biochim. Biophys. Acta Biomembr. 2020, 1862, 183340. [Google Scholar] [CrossRef]
  229. Kwak, B.; Mulhaupt, F.; Myit, S.; Mach, F. Statins as a newly recognized type of immunomodulator. Nat. Med. 2000, 6, 1399–1402. [Google Scholar] [CrossRef]
  230. Waragai, M.; Adame, A.; Trinh, I.; Sekiyama, K.; Takamatsu, Y.; Une, K.; Masliah, E.; Hashimoto, M. Possible involvement of adiponectin, the anti-diabetes molecule, in the pathogenesis of Alzheimer’s disease. J. Alzheimer’s Dis. 2016, 52, 1453–1459. [Google Scholar] [CrossRef]
  231. García-Casares, N.; García-Arnés, J.A.; Rioja, J.; Ariza, M.J.; Gutiérrez, A.; Alfaro, F.; Nabrozidis, A.; González-Alegre, P.; González-Santos, P. Alzheimer’s like brain changes correlate with low adiponectin plasma levels in type 2 diabetic patients. J. Diabetes Its Complicat. 2016, 30, 281–286. [Google Scholar] [CrossRef]
  232. Yan, X.D.; Qu, X.S.; Yin, J.; Qiao, J.; Zhang, J.; Qi, J.S.; Wu, M.N. Adiponectin Ameliorates Cognitive Behaviors and in vivo Synaptic Plasticity Impairments in 3xTg-AD Mice. J. Alzheimers Dis. 2022, 85, 343–357. [Google Scholar] [CrossRef]
  233. Wang, M.; Jo, J.; Song, J. Adiponectin improves long-term potentiation in the 5XFAD mouse brain. Sci. Rep. 2019, 9, 8918. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Schematic representation of different experimental measurements of neuroplasticity.
Figure 1. Schematic representation of different experimental measurements of neuroplasticity.
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Figure 2. Current pharmacological strategies in AD and their main targets.
Figure 2. Current pharmacological strategies in AD and their main targets.
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Figure 3. Some of the drugs and mechanisms that enhance LTP and positively affect neuroplasticity.
Figure 3. Some of the drugs and mechanisms that enhance LTP and positively affect neuroplasticity.
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Figure 4. The chronic administration of nicotine is purported to increase LTP via cholinergic receptors [167].
Figure 4. The chronic administration of nicotine is purported to increase LTP via cholinergic receptors [167].
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Table 1. CSF Markers of Altered Neuroplasticity in AD.
Table 1. CSF Markers of Altered Neuroplasticity in AD.
ProteinProcess in Which It Is Involved Mode of Presentation in AD
NeurograninPromotion of synaptic plasticity and LTPIncreased
SNAP-25Control of synaptic plasticityIncreased
BDNFStructural plasticity and cognitive plasticity/learningDecreased
VEGFNeurogenesis and synaptic plasticityDecreased
Table 2. Examples of neuroplastic targets, drugs, and expected outcomes in AD therapeutics.
Table 2. Examples of neuroplastic targets, drugs, and expected outcomes in AD therapeutics.
TargetDrugOutcome
Glucose metabolismT3D-959 (anti-diabetic)Improved functional connectivity of the hippocampus
Glucose metabolismempagliflozinAlleged neuroplasticity improvement through glutamate activity regulation
Glutamatergic toxicity RiluzoleInhibition of the presynaptic release of glutamate and associated glutamatergic toxicity
Amyloid and tau pathologiesSimulifamDecrease in synaptic neurogranin levels
Mitogen-activated protein kinase p38αNeflamapinodDecrease in neurogranin levels/ Enhanced memory performance
Sigma2 receptorCT1812Prevention of synaptotoxicity induced by Aβ, increased levels of synaptic proteins related to plasticity, and synaptic density
Protein kinase CBryostatinEnhanced cognitive performance
Glutaminyl cyclasePQ912Decrease in neurogranin levels
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Colavitta, M.F.; Barrantes, F.J. Therapeutic Strategies Aimed at Improving Neuroplasticity in Alzheimer Disease. Pharmaceutics 2023, 15, 2052. https://doi.org/10.3390/pharmaceutics15082052

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Colavitta MF, Barrantes FJ. Therapeutic Strategies Aimed at Improving Neuroplasticity in Alzheimer Disease. Pharmaceutics. 2023; 15(8):2052. https://doi.org/10.3390/pharmaceutics15082052

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Colavitta, María F., and Francisco J. Barrantes. 2023. "Therapeutic Strategies Aimed at Improving Neuroplasticity in Alzheimer Disease" Pharmaceutics 15, no. 8: 2052. https://doi.org/10.3390/pharmaceutics15082052

APA Style

Colavitta, M. F., & Barrantes, F. J. (2023). Therapeutic Strategies Aimed at Improving Neuroplasticity in Alzheimer Disease. Pharmaceutics, 15(8), 2052. https://doi.org/10.3390/pharmaceutics15082052

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