CNS & Neurological Disorders - Drug Targets (Formerly Current Drug Targets - CNS & Neurological Disorders) - Volume 23, Issue 8, 2024

Previous studies show changes in lipid metabolism in epilepsy. The aim of this study was to investigate the association between lipid profile and clinical variables in adult patients with epilepsy (APE). Seventy-two APE participated in this pilot study at an outpatient neurology service. The lipid profile (total cholesterol, low-density lipoprotein (LDL) cholesterol, very-low-density lipoproteins (VLDL) cholesterol, high-density lipoprotein (HDL) cholesterol and triglycerides), age at disease onset, disease duration, seizures frequency, and the number of antiseizure medications (ASM) used were investigated. Data were analyzed using the Chi-square, Fisher, Mann-Whitney, Spearman coefficient, and logistic regression tests. There were significant differences in HDL (p = 0.0023) and total cholesterol (p = 0.0452) levels in connection with the number of ASM used. There was a significant difference in seizure control among the different numbers of ASM used (p = 0.0382). Higher HDL values were found in females (p = 0.0170). The logistic regression showed that only the number of ASM used was associated with seizure control (p = 0.0408; OR = 2.800; 95% CI = 1.044; 7.509). The number of ASM taken and not the lipid profile was associated with seizure control in APE.

Neurodegenerative disorders are characterized by a gradual but irreversible loss of neurological function. The ability to detect and treat these conditions successfully is crucial for ensuring the best possible quality of life for people who suffer from them. The development of effective new methods for managing and treating neurodegenerative illnesses has been made possible by recent developments in computer technology. In this overview, we take a look at the prospects for applying computational approaches, such as drug design, AI, ML, and DL, to the treatment of neurodegenerative diseases. To review the current state of the field, this article discusses the potential of computational methods for early disease detection, quantifying disease progression, and understanding the underlying biological mechanisms of neurodegenerative diseases, as well as the challenges associated with these approaches and potential future directions. Moreover, it delves into the creation of computational models for the individualization of care for neurodegenerative diseases. The article concludes with suggestions for future studies and clinical applications, highlighting the advantages and disadvantages of using computational techniques in the treatment of neurodegenerative diseases.

Cyclic adenosine monophosphates (cAMP) and cyclic guanosine monophosphate (cGMP) are two essential second messengers, which are hydrolyzed by phosphodiesterase's (PDEs), such as PDE-2. Pharmacological inhibition of PDE-2 (PDE2A) in the central nervous system improves cAMP and cGMP signaling, which controls downstream proteins related to neuropsychiatric, neurodegenerative, and neurodevelopmental disorders. Considering that there are no specific treatments for these disorders, PDE-2 inhibitors' development has gained more attention in the recent decade. There is high demand for developing new-generation drugs targeting PDE2 for treating diseases in the central nervous and peripheral systems. This review summarizes the relationship between PDE-2 with neuropsychiatric, neurodegenerative, and neurodevelopmental disorders as well as its possible treatment, mainly involving inhibitors of PDE2.

The most prevalent cause of dementia is Alzheimer's disease (AD). Although the global AD rate is on a constant rise, medical research is yet to find a cure for this neurological condition. Current available therapeutic drugs for AD treatment only provide symptomatic alleviation. Therefore, it is essential to establish effective AD treatment strategies in addressing clinical needs. The development of disease-modifying treatments for use in the disease's early stages and the advancement of symptomatic drugs principally used in the disease's later stages are priorities in AD research. Given that the etiology of AD is difficult to comprehend, using a multimodal therapy intervention that targets molecular targets of AD-related degenerative processes is a practical strategy to change the course of AD progression. The current review article discussed PPAR-α (Peroxisome proliferator-activated receptor-α) and PDE5 (Phosphodiesterase type 5) targets with evidence for their preclinical and clinical importance. Furthermore, we support the targets with AD-related processes, functions, and remedial measures. A unique synergistic method for treating AD may involve the beneficial combinatorial targeting of these two receptors. Furthermore, we reviewed different PDE chemical families in this research and identified PDE5 inhibitors as one of the promising AD-related experimental and clinical disease-modifying medications. Lastly, we suggest jointly targeting these two pathways would be more beneficial than monotherapy in AD treatments.

Memory is the persisting consequence of cognitive activities instigated by and engrossed on exterior information from the environment and commenced by an intensive on internal mental representations. Establishing a gut-brain axis (GBA) in health and disease has recently brought the gut, the main portal of communication with the external environment, to the forefront of this interaction. Dietary stimuli have long been linked to brain development, behavioral responses, and memory reflections. Vagus nerve, immune system, bacterial metabolites and products are just a few of the linkages that make up the GBA, a bidirectional arrangement of signaling pathways that connects the neurological system with the gastrointestinal tract. GBA involves two-way communication between central and enteric neural systems, connecting the brain's affective and cognitive regions to peripheral activities of the intestine. Recent scientific progress has highlighted the significance of gut microbiota in affecting these relationships. By controlling myelination at the prefrontal cortex, a crucial area for multifaceted cognitive behavior forecast and decision-making, this axis influences social behavior, including memory reflections. Humans may experience late myelination of the prefrontal cortex's axonal projections into the third decade of life, making it vulnerable to outside factors like microbial metabolites. It has been demonstrated that changes in the gut microbiome can change the microbial metabolome's composition, impacting highly permeable bioactive chemicals like p-cresol that may hinder oligodendrocyte differentiation. This review will discuss the memory reflections of the microbiota-gut and oligodendrocyte axis. Adopting this concept should encourage a new arena of thinking that recognizes the intricate central and periphery dynamics influencing behavior and uses that knowledge to develop novel therapies and interventions for maladjusted memory and learning systems.

Background: Foods rich in flavonoids are associated with a reduced risk of various chronic diseases, including Alzheimer's disease (AD). In fact, growing evidence suggests that consuming flavonoid- rich foods can beneficially affect normal cognitive function. Animal models have shown that many flavonoids prevent the development of AD-like pathology and improve cognitive deficits. Objective: Identifying the molecular causes underlying the memory-enhancing effect of flavonoid-rich foods makes it possible to provide the best diet to prevent cognitive decline associated with aging and Alzheimer's disease. Based on the most recent scientific literature, this review article critically examines the therapeutic role of dietary flavonoids in ameliorating and preventing the progression of AD and enhancement of memory with a focus on the role of the BDNF signaling pathway. Methods: The databases of PubMed, Web of Science, Google Scholar, and Scopus were searched up to March 2023 and limited to English language. Search strategies were using the following keywords in titles and abstracts: (Flavonoid-rich foods OR Flavonoids OR Polyphenols); AND (Brain-Derived Neurotrophic Factor OR BDNF OR CREB OR) AND (Alzheimer's disease OR memory OR cognition OR). Results: Flavonoid-rich foods including green tea, berries, curcumin and pomegranate exert their beneficial effects on memory decline associated with aging and Alzheimer's disease mostly through the direct interaction with BDNF signaling pathway. Conclusion: The neuroprotective effects of flavonoid-rich foods through the CREB-BDNF mechanism have the potential to prevent or limit memory decline due to aging and Alzheimer's disease, so their consumption throughout life may prevent age-related cognitive impairment.

Background: After Alzheimer's disease, the second slot for the most common neurodegenerative disease, is occupied by Parkinson's disease. The symptoms of Parkinson's are classified as motor symptoms and non-motor symptoms. Motor symptoms involve rigidity, tremors, bradykinesia, and postural instability. Non-motor symptoms consist of cognitive dysfunction, salivation, lacrimation, etc. Objectives: The objectives of this study are to find out the most recent treatment options for Parkinson's disease. Methods: Research and review papers are collected from different databases like Google Scholar, PubMed, Mendeley, Scopus, Science Open, and the Directory of Open Access Journals using different keywords such as "Parkinson's disease, biomarkers, animal models". Results: Currently, various novel therapeutics have been emerging for PD. These may include treatments that may control the symptoms without causing any other severe side effects with already available treatments. Better therapies such as gene therapies, cell-based treatments, and regenerative therapies, which may evolve over time, can be a better therapeutic option. Conclusion: There is a need for the development of novel and potential therapeutic strategies that offer fewer side effects to patients. Several clinical, biochemical, and imaging markers that are noteworthy in Parkinson's disease examination have been discussed here. Current work in the field of Parkinson's disease has developed a variety of significant small animal models, such as viral vector models and seeding models, including the insertion of preformed fibrils of alpha-synuclein. The brief concepts regarding risk factors, pathogenesis, clinical diagnosis, and emerging treatments of PD are discussed in this review article.

Recently, Parkinson's disease (PD) has become a remarkable burden on families and society with an acceleration of population aging having several pathological hallmarks such as dopaminergic neuronal loss of the substantia nigra pars compacta, α-synucleinopathy, neuroinflammation, autophagy, last but not the least astrogliosis. Astrocyte, star-shaped glial cells perform notable physiological functions in the brain through several molecular and cellular mechanisms including nuclear factor erythroid 2-related factor 2 (Nrf2) signaling pathway. It has been well established that the downregulation of the astrocytic Nrf2 signaling pathway plays a crucial role in the pathogenesis of PD because it is a master regulator of cellular defense mechanism along with a regulator of numerous detoxifying and antioxidant enzymes gene expression. Fascinatingly, upregulation of the astrocytic Nrf2 signaling pathway attenuates the degeneration of nigrostriatal neurons, restores neuronal proliferation, rejuvenates astrocytic functions, and exhibits neuroprotective effects via numerous cellular and molecular mechanisms in the PD-like brain of the experimental animal. Here, we discuss the numerous in-vitro and in-vivo studies that evaluate the neuroprotective potential of the astrocytic Nrf2 signaling pathway against experimentally-induced PD-like manifestation. In conclusion, based on available preclinical reports, it can be assumed that the astrocytic Nrf2 signaling pathway could be an alternative target in the drug discovery process for the prevention, management, and treatment of PD.

Apraxia can be detected when engaging in mental motor envisioning exercises. The nonverbal skills of manufacturing, representation, strategizing, arithmetic, visual sensitivity, and motor skills are all related to apraxia. Limb apraxia also negatively affects communication gestures and linguistic skills. The impairment of brain regions related to motion patterns is the primary cause of apraxia. People with apraxia may struggle to complete a variety of tasks because they are unable to focus on various movements. Apraxia can result from injury to the premotor cortex since it has a role in the left hemisphere-dependent selection of movements. Cognitive and complicated motor system deficits are hallmarks of the corticobasal syndrome. Apraxia of the limbs and visuospatial abnormalities are typical clinical types. TMS was used to study these problems; however, no research was done on the relationship between TMS parameters and clinical types. It is possible for changes in brain activity to last a long time when repetitive TMS (rTMS) is utilized. Electromyography shows that noninvasive TMS of the motor cortex causes target muscle spasms (MEP). The human motor cortex is a part of the cerebral cortex that is involved in the organization, management, and execution of voluntary movements. TMS and other neuroimaging techniques are frequently used to identify changes in this region. Cortical motor excitability varies among different diagnoses; therefore, it is important to determine the effectiveness of TMS. Therefore, this study aims to review the causes and neurophysiological simulation of apraxia along with the principles and effects of TMS on apraxia.

Background: Alzheimer's disease (AD) is an overwhelming neurodegenerative disease with progressive loss of memory. AD is characterized by the deposition of the senile plaques mainly composed of β-amyloid (Aβ) fragment, BDNF decline, Cholinergic system overactivity and neuroinflammation. Montelukast (MTK), a leukotriene receptor antagonist, showed astounding neuroprotective effects in a variety of neurodegenerative disorders. Objective: This study aims to investigate the ameliorative effects of Montelukast in the scopolamineinduced Alzheimer's disease (AD) model in rats and evaluate its activity against neuroinflammation. Methods: Thirty rats were split into five groups: Control group (1 mL/kg normal saline, i.p.), Montelukast perse (10 mg/kg, i.p.), Disease group treated with Scopolamine (3 mg/kg, i.p.), Donepezil group (3 mg/kg, i.p.), Montelukast treatment group (10 mg/kg, i.p.) and behavioural and biochemical tests were carried out to assess the neuro protective effect. Results: Scopolamine treatment led to a significant reduction in learning and memory and an elevation in cholinesterase levels when compared with the control group (p < 0.01). Additionally, elevated oxidative stress and Amyloid-β levels were associated with enhanced neuroinflammation (p < 0.05, p < 0.01). Furthermore, the decline in neurotrophic factor BDNF is also observed when compared with the normal control group (p < 0.01). Montelukast pre-treatment significantly attenuated learning and memory impairment and cholinesterase levels. Besides, Montelukast and standard drug donepezil administration significantly suppressed the oxidative stress markers (p < 0.01), Amyloid-β levels, neuroinflammatory mediators (p < 0.05) and caused a significant increase in BDNF levels (p < 0.05). Conclusion: Montelukast bestowed ameliorative effects in scopolamine-induced AD animal models as per the previous studies via attenuation of memory impairment, cholinesterase neurotransmission, oxidative stress, Amyloid-β levels, neuroinflammatory mediators and enhanced BDNF levels.