Memory Loss Research Articles

Alzheimer's disease early screening and staged detection with plasma proteome using machine learning and convolutional neural network.

Alzheimer's disease (AD) stands as the prevalent progressive neurodegenerative disease, precipitating cognitive impairment and even memory loss. Amyloid biomarkers have been extensively used in the diagnosis of AD. However, amyloid proteins offer limited information about the disease process and accurate diagnosis depends on the presence of a substantial accumulation of amyloid deposition which significantly impedes the early screening of AD. In this study, we have combined plasma proteomics with an ensemble learning model (CatBoost) to develop a cost-effective and non-invasive diagnostic method for AD. A longitudinal panel has been identified that can serve as reliable biomarkers across the entire progression of AD. Simultaneously, we have developed a neural network algorithm that utilizes plasma proteins to detect stages of Alzheimer's disease. Based on the developed longitudinal panel, the CatBoost model achieved an area under the operating curve of at least 0.90 in distinguishing mild cognitive impairment from cognitively normal. The neural network model was utilized for the detection of three stages of AD, and the results demonstrated that the neural network model exhibited an accuracy as high as 0.83, surpassing that of the traditional machine learning model.

Oral administration of coenzyme Q10 ameliorates memory impairment induced by nicotine-ethanol abstinence through restoration of biochemical changes in male rat hippocampal tissues.

Substance abuse among adolescents has become a growing issue throughout the world. The significance of research on this life period is based on the occurrence of neurobiological changes in adolescent brain which makes the individual more susceptible for risk-taking and impulsive behaviors. Alcohol and nicotine are among the most available drugs of abuse in adolescents. Prolonged consumption of nicotine and alcohol leads to drug dependence and withdrawal which induce various dysfunctions such as memory loss. Coenzyme Q10 (CoQ10) is known to improve learning and memory deficits induced by various pathological conditions such as Diabetes mellitus and Alzheimer's disease. In the present study we investigated whether CoQ10 treatment ameliorates memory loss following a nicotine-ethanol abstinence. Morris water maze and novel object recognition tests were done in male Wistar rats undergone nicotine-ethanol abstinence and the effect of CoQ10 was assessed on at behavioral and biochemical levels. Results indicated that nicotine-ethanol abstinence induces memory dysfunction which is associated with increased oxidative and inflammatory response, reduced cholinergic and neurotrophic function plus elevated Amyloid-B levels in hippocampi. CoQ10 treatment prevented memory deficits and biochemical alterations. Interestingly, this ameliorative effect of CoQ10 was found to be dose-dependent in most experiments and almost equipotential to that of bupropion and naloxone co-administration. CoQ10 treatment could effectively improve memory defects induced by nicotine-ethanol consumption through attenuation of oxidative damage, inflammation, amyloid-B level and enhancement of cholinergic and neurotrophic drive. Further studies are required to assess the unknown side effects and high dose tolerability of the drug in human subjects.

Novel insights into presenilin 1 mutation associated with a distinctive dementia phenotype and cotton wool plaques.

The mutations in the presenilin 1 gene (PSEN1) are the main cause of familial Alzheimer's disease. PSEN1 mutations affect amyloid-beta peptide production, which accumulates in the brain as senile plaque and cotton wool plaques (CWPs) and relates to other neurodegenerative disorders. Here we report the second case of the PSEN1 G266S mutation, which showed distinctive neuropathological features, including abundant CWPs. Lewy body pathology, and altered amyloid-beta production. Using the proband's samples, we performed genetic analysis of the PSEN1, APP, MAPT, and APOE genes, histopathological and immunohistochemical analysis of the brain tissue, and biochemical analysis of Aβ production in COS cells transfected with wild-type or mutant PSEN1. The patient presented with memory loss, abnormal behavior, and visual hallucinations. Brain scans showed reduced blood flow, mild atrophy, and white matter lesions. Genetic analysis revealed a heterozygous mutation at codon 266 (G266S) of PSEN1 and polymorphism of MAPT (Q230R). The brain had many CWPs, severe cerebral amyloid angiopathy (CAA), senile plaque, Lewy bodies, and neurites. Electron microscopy displayed myelinated fiber degeneration, mitochondrial damage, and amyloid fibrils in the white matter. The production level of Aβ42 in PSEN1 G266S-transfected cells significantly increased. Our findings suggest that the PSEN1 G266S mutation may cause a heterogeneous clinical and pathological phenotype, influenced by other genetic or environmental factors.

Effects of Cycloastragenol on Alzheimer's Disease in Rats by Reducing Oxidative Stress, Inflammation, and Apoptosis.

As individuals age, they may develop Alzheimer's disease (AD), which is characterized by difficulties in speech, memory loss, and other issues related to neural function. Cycloastragenol is an active ingredient of Astragalus trojanus and has been used to treat inflammation, aging, heart disease, and cancer. This study aimed to explore the potential therapeutic benefits of cycloastragenol in rats with experimentally induced AD. Moreover, the underlying molecular mechanisms were also evaluated by measuring Nrf2 and HO-1, which are involved in oxidative stress, NFκB and TNF-α, which are involved in inflammation, and BCL2, BAX, and caspase-3, which are involved in apoptosis. Sprague-Dawley rats were given 70 mg/kg of aluminum chloride intraperitoneally daily for six weeks to induce AD. Following AD induction, the rats were given 25 mg/kg of cycloastragenol daily by oral gavage for three weeks. Hippocampal sections were stained with hematoxylin/ eosin and with anti-caspase-3 antibodies. The Nrf2, HO-1, NFκB, TNF-α, BCL2, BAX, and caspase-3 gene expressions and protein levels in the samples were analyzed. Cycloastragenol significantly improved rats' behavioral test performance. It also strengthened the organization of the hippocampus. Cycloastragenol significantly improved behavioral performance and improved hippocampal structure in rats. It caused a marked decrease in the expression of NFκB, TNF-α, BAX, and caspase-3, which was associated with an increase in the expression of BCL2, Nrf2, and HO-1. Cycloastragenol improved the structure of the hippocampus in rats with AD. It enhanced the outcomes of behavioral tests, decreased the concentration of AChE in the brain, and exerted antioxidant and anti-inflammatory effects. Antiapoptotic effects were also noted, leading to significant improvements in cognitive function, memory, and behavior in treated rats.

Training-free demonstration of a 5.4 T Nb3Sn Canted–Cosine–Theta accelerator dipole impregnated with paraffin wax

Lawrence Berkeley National Laboratory is pursuing stress-managed Nb3Sn Canted–Cosine–Theta (CCT) magnet technology for high field accelerator magnets. Although promising results have been reported, improvements in the training performance are desired. This work describes the fabrication and testing campaigns of two subscale Nb3Sn CCT magnets; a baseline impregnated with National High Magnetic Field Laboratory Mix-61 and a magnet impregnated with paraffin wax. The paraffin magnet reached the short sample limit of the conductor, to within the measurement uncertainty, with no training quenches inside the magnet. In contrast, the baseline magnet reached 80% of the short sample limit after approximately 20 quenches and exhibits some loss of memory after thermal cycles. Inter-layer flexible quench antennas combined with voltage tap data show that all quenches appear identical and originate from a region corresponding to the location of peak field in the cable. Although this success should be replicated at higher fields, these first test results demonstrate the potential for training free Nb3Sn accelerator magnets operating near the short-sample limit.

A method for multi-view surface defect detection of Si3N4 ceramic bearing balls integrating features enhanced by the Gabor salient domain

Si3N4 ceramic bearing balls exhibit wear, pits, scratches, and delamination defects on the surface during manufacturing processes. Current Si3N4 ceramic ball detection methods mainly focus on a single view input, which leads to insufficient fusion of boundary, color, and shape features, consequently resulting in a low detection accuracy. In this research, propose multi-view surface defect detection of Si3N4 ceramic bearing balls integrating features enhanced by the Gabor salient domain (GSMF). Firstly, color, shape, and boundary information of defects are extracted from different angles, distances, and GSMF enhancement views. Secondly, by designing a salient domain enhancement module, GSMF enhancement boundary features are extracted, addressing the feature loss problem that results in scarce border information during decoding. By improving the co-attention of multi-view to prevent memory loss caused by long-distance transmission, more feature information is preserved. Finally, the accuracy of the detection method is validated through experimental tests.

Characterizing dysregulations via cell-cell communications in Alzheimer’s brains using single-cell transcriptomes

BackgroundAlzheimer’s disease (AD) is a devastating neurodegenerative disorder affecting 44 million people worldwide, leading to cognitive decline, memory loss, and significant impairment in daily functioning. The recent single-cell sequencing technology has revolutionized genetic and genomic resolution by enabling scientists to explore the diversity of gene expression patterns at the finest resolution. Most existing studies have solely focused on molecular perturbations within each cell, but cells live in microenvironments rather than in isolated entities. Here, we leveraged the large-scale and publicly available single-nucleus RNA sequencing in the human prefrontal cortex to investigate cell-to-cell communication in healthy brains and their perturbations in AD. We uniformly processed the snRNA-seq with strict QCs and labeled canonical cell types consistent with the definitions from the BRAIN Initiative Cell Census Network. From ligand and receptor gene expression, we built a high-confidence cell-to-cell communication network to investigate signaling differences between AD and healthy brains.ResultsSpecifically, we first performed broad communication pattern analyses to highlight that biologically related cell types in normal brains rely on largely overlapping signaling networks and that the AD brain exhibits the irregular inter-mixing of cell types and signaling pathways. Secondly, we performed a more focused cell-type-centric analysis and found that excitatory neurons in AD have significantly increased their communications to inhibitory neurons, while inhibitory neurons and other non-neuronal cells globally decreased theirs to all cells. Then, we delved deeper with a signaling-centric view, showing that canonical signaling pathways CSF, TGFβ, and CX3C are significantly dysregulated in their signaling to the cell type microglia/PVM and from endothelial to neuronal cells for the WNT pathway. Finally, after extracting 23 known AD risk genes, our intracellular communication analysis revealed a strong connection of extracellular ligand genes APP, APOE, and PSEN1 to intracellular AD risk genes TREM2, ABCA1, and APP in the communication from astrocytes and microglia to neurons.ConclusionsIn summary, with the novel advances in single-cell sequencing technologies, we show that cellular signaling is regulated in a cell-type-specific manner and that improper regulation of extracellular signaling genes is linked to intracellular risk genes, giving the mechanistic intra- and inter-cellular picture of AD.

Improvement of both human and animal memory by synergy between fructooligosaccharide and L‐theanine function establishing a safe and effective food supplement

AbstractAging is classically associated with a decline of cognitive abilities, especially in relation to memory. While the development of potential treatments for neurodegenerative diseases has been in sharp focus, mild cognitive impairment (MCI), a form of age‐related memory loss, in the absence of severe functional impairment, a condition experienced by many healthy adults, has received relatively little attention. Advances in this space would make significant contributions to the goal of healthy aging and may also help promote cognitive performance across the wider population. The individual action of either fructooligosaccharide (FOS) or L‐theanine, both natural plant‐derived molecules, has been tentatively linked with improvements in cognition, but our understanding remains far from complete. We therefore determined the effect of different dose combinations of FOS and L‐theanine (termed MT‐01/GBL‐Memory1) in mice against FOS and L‐theanine monotherapy. FOS and L‐theanine were found to synergistically enhance murine memory in our animal tests at a dose of 100 mg/kg (coefficient of drug interaction (CDI) < 1). In a subsequent human trial, we demonstrated that MT‐01 improved the memory of healthy adults after 1 month of consumption. Our results suggest that a combination of FOS and L‐theanine synergistically enhances murine memory within a specific dose range. We show that this plant natural product regimen also improves human memory in a population of healthy adults. MT‐01 therefore represents a novel, safe, and effective dietary supplement to promote human memory and cognition.

Beneficial Effects of Echinacoside on Cognitive Impairment and Diabetes in Type 2 Diabetic db/db Mice.

Cognitive dysfunction is an important comorbidity of diabetes. Insulin resistance may play a critical role in diabetes-related cognitive impairment. Echinacoside (ECH), a natural phenylethanoid glycoside, is the active component of anti-diabetes prescriptions in traditional Chinese medicine. Its effect on modulating insulin resistance has been confirmed but modulating neurodegenerative disease remains unclear. Db/db mice, a spontaneous type 2 diabetes mode, were intragastrically administered ECH by 300 mg/kg or an equivalent volume of saline. Weight, blood glucose, and insulin resistance index were measured. Morris water maze test was performed to observe the compound effects on cognition. Hippocampal lesions were observed by histochemical analysis. In db/db mice, ECH alleviated diabetes symptoms, memory loss, and hippocampal neuronal damage. Next, the expression of CD44 and phosphorylated tau was upregulated in diabetic mice. In addition, the insulin receptor substrate-1/phosphatidylinositol 3-kinase /protein kinase B signaling pathway was dysregulated in diabetic mice. All these dysregulations could be reversed by ECH. This study provides theoretical support and experimental evidence for the future application of ECH in diabetic cognition dysfunction treatment, promoting the development of traditional medicines.

Antiviral, anti-inflammatory and antioxidant effects of curcumin and curcuminoids in SH-SY5Y cells infected by SARS-CoV-2

COVID-19, caused by SARS-CoV-2, affects neuronal cells, causing several symptoms such as memory loss, anosmia and brain inflammation. Curcuminoids (Me08 e Me23) and curcumin (CUR) are derived from Curcuma Longa extract (EXT). Many therapeutic actions have been linked to these compounds, including antiviral action. Given the severe implications of COVID-19, especially within the central nervous system, our study aims to shed light on the therapeutic potential of curcuminoids against SARS-CoV-2 infection, particularly in neuronal cells. Here, we investigated the effects of CUR, EXT, Me08 and Me23 in human neuroblastoma SH-SY5Y. We observed that Me23 significantly decreased the expression of plasma membrane-associated transmembrane protease serine 2 (TMPRSS2) and TMPRSS11D, consequently mitigating the elevated ROS levels induced by SARS-CoV-2. Furthermore, Me23 exhibited antioxidative properties by increasing NRF2 gene expression and restoring NQO1 activity following SARS-CoV-2 infection. Both Me08 and Me23 effectively reduced SARS-CoV-2 replication in SH-SY5Y cells overexpressing ACE2 (SH-ACE2). Additionally, all of these compounds demonstrated the ability to decrease proinflammatory cytokines such as IL-6, TNF-α, and IL-17, while Me08 specifically reduced INF-γ levels. Our findings suggest that curcuminoid Me23 could serve as a potential agent for mitigating the impact of COVID-19, particularly within the context of central nervous system involvement.

Memory protective effect of Phyllanthus emblica against scopolamine induced spatial memory loss in male Long Evan Rats tested by Radial Arm Maze

Background: Dementia is the commonest problem of middle aged and elderly subjects due to age related changes and oxidative stress. Many traditional herbal agents including Emblica Officinalis (Phyllantus Emblica) demonstrated its benefit against memory loss. Objective: To investigate the protective effect of Ethanolic extract of Phyllantus Emblica (EEPE) or Emblica Officinalis in scopolamine induced memory impaired male Long Evan rats. Methods: This animal behavioral study was carried out on total 18 male long Evan rats weighing 300-400gm. According to treatment they were divided into NS (control) group (n=6, normal saline 5ml/kg) Sco(n=6; Scopolamine 2mg/kg) and PE(n=6; EEPE 400mg/kg+ Scopolamine 2mg/kg).This experiment was conducted for total 33 days. After 7 days acclimatization NS group and PE rats were treated with normal saline and EEPE respectively for consecutive 26 days. Scopolamine was given to sco group and PE group from day 22 to 26 (5 days during acquisition phase. Spatial memory (working and reference memory error) was assessed by 8 arm radial arm maze (RAM). Statistical analysis was done by ANOVA followed by Bonferroni’s post hoc test. Result: Working memory error (WME) as well as reference memory error (RME) was found significantly higher in scopolamine treated rats compared to normal memory as well as PE pretreated rats whereas no significant difference was found in WME and RME between normal memory rats and PE pre- treated rats. Conclusion: Phyllanthus Emblica can prevent memory impairment in scopolamine induced memory loss in Long Evan rats. J Bangladesh Soc Physiol 2022;17(2): 101-110

Assessing the Quality of ChatGPT Responses to Dementia Caregivers' Questions: Qualitative Analysis.

Artificial intelligence (AI) such as ChatGPT by OpenAI holds great promise to improve the quality of life of patients with dementia and their caregivers by providing high-quality responses to their questions about typical dementia behaviors. So far, however, evidence on the quality of such ChatGPT responses is limited. A few recent publications have investigated the quality of ChatGPT responses in other health conditions. Our study is the first to assess ChatGPT using real-world questions asked by dementia caregivers themselves. This pilot study examines the potential of ChatGPT-3.5 to provide high-quality information that may enhance dementia care and patient-caregiver education. Our interprofessional team used a formal rating scale (scoring range: 0-5; the higher the score, the better the quality) to evaluate ChatGPT responses to real-world questions posed by dementia caregivers. We selected 60 posts by dementia caregivers from Reddit, a popular social media platform. These posts were verified by 3 interdisciplinary dementia clinicians as representing dementia caregivers' desire for information in the areas of memory loss and confusion, aggression, and driving. Word count for posts in the memory loss and confusion category ranged from 71 to 531 (mean 218; median 188), aggression posts ranged from 58 to 602 words (mean 254; median 200), and driving posts ranged from 93 to 550 words (mean 272; median 276). ChatGPT's response quality scores ranged from 3 to 5. Of the 60 responses, 26 (43%) received 5 points, 21 (35%) received 4 points, and 13 (22%) received 3 points, suggesting high quality. ChatGPT obtained consistently high scores in synthesizing information to provide follow-up recommendations (n=58, 96%), with the lowest scores in the area of comprehensiveness (n=38, 63%). ChatGPT provided high-quality responses to complex questions posted by dementia caregivers, but it did have limitations. ChatGPT was unable to anticipate future problems that a human professional might recognize and address in a clinical encounter. At other times, ChatGPT recommended a strategy that the caregiver had already explicitly tried. This pilot study indicates the potential of AI to provide high-quality information to enhance dementia care and patient-caregiver education in tandem with information provided by licensed health care professionals. Evaluating the quality of responses is necessary to ensure that caregivers can make informed decisions. ChatGPT has the potential to transform health care practice by shaping how caregivers receive health information.

Differential disruptions in population coding along the dorsal-ventral axis of CA1 in the APP/PS1 mouse model of Aβ pathology.

Alzheimer's Disease (AD) is characterized by a range of behavioral alterations, including memory loss and psychiatric symptoms. While there is evidence that molecular pathologies, such as amyloid beta (Aβ), contribute to AD, it remains unclear how this histopathology gives rise to such disparate behavioral deficits. One hypothesis is that Aβ exerts differential effects on neuronal circuits across brain regions, depending on the neurophysiology and connectivity of different areas. To test this, we recorded from large neuronal populations in dorsal CA1 (dCA1) and ventral CA1 (vCA1), two hippocampal areas known to be structurally and functionally diverse, in the APP/PS1 mouse model of amyloidosis. Despite similar levels of Aβ pathology, dCA1 and vCA1 showed distinct disruptions in neuronal population activity as animals navigated a virtual reality environment. In dCA1, pairwise correlations and entropy, a measure of the diversity of activity patterns, were decreased in APP/PS1 mice relative to age-matched C57BL/6 controls. However, in vCA1, APP/PS1 mice had increased pair-wise correlations and entropy as compared to age matched controls. Finally, using maximum entropy models, we connected the microscopic features of population activity (correlations) to the macroscopic features of the population code (entropy). We found that the models' performance increased in predicting dCA1 activity, but decreased in predicting vCA1 activity, in APP/PS1 mice relative to the controls. Taken together, we found that Aβ exerts distinct effects across different hippocampal regions, suggesting that the various behavioral deficits of AD may reflect underlying heterogeneities in neuronal circuits and the different disruptions that Aβ pathology causes in those circuits.

Utilizing Profound Learning Methods for Alzheimer's Infection Discovery: An Exhaustive Survey

Alzheimer’s disease (AD) is a major public health issue around the world. It is a progressive disease that causes memory loss and cognitive decline. Early detection is essential for early intervention and treatment of AD. In recent years, there has been a surge in the use of deep learning techniques to analyze complex medical data. This includes neuroimaging data as well as genetic data. This has led to promising advances in the detection of AD. In this paper, we will review the application of various deep learning methods in the field of Alzheimer’s Disease. We will look at the challenges that traditional diagnostic methods face and how these challenges can be overcome by using deep learning approaches. We will also look at different deep learning architectures and data modalities and techniques used in the field of AD detection. Finally, we will look at limitations and future direction of the field to help researchers and practitioners to develop more accurate and effective AD detection methods. Keywords: Alzheimer's Disease, deep learning, neuroimaging, biomarkers, early detection, diagnosis.

Multi-View Separable Residual convolution neural Network for detecting Alzheimer’s disease progression

Alzheimer’s Disease (AD) is a neurodegenerative disorder, the most common form of dementia, characterized by memory loss and cognitive impairments that disrupt daily life. Early detection is crucial for effective treatment. 18F-FDG-PET is the most accurate diagnostic tool, but existing methods often rely on handcrafted or machine learning, risking information loss due to preprocessing. To overcome these limitations, we propose a deep learning approach, leveraging Convolutional Neural Networks (CNNs). We introduce a novel Multi-View Separable Residual CNN (MV-SR-CNN) architecture, capable of processing entire volumes while maintaining spatial complexity similar to 2D CNNs. MV-SR-CNN considers voxel spatial relationships and achieves up to 50 % memory reduction compared to 3D CNNs. We evaluated MV-SR-CNN on a dataset of 540 patients : 191 Control Normal (CN), 145 Early Mild Cognitive Impairment (EMCI), 122 Late Mild Cognitive Impairment (LMCI), and 82 with AD. Additionally, 397 Stable MCI (SMCI) and 61 Progressive MCI (PMCI) cases were included. MV-SR-CNN achieved impressive accuracies of 86.97 % for CN vs. EMCI vs. LMCI vs. AD and 95.73 % for SMCI vs. PMCI classification tasks.

Tracts in the limbic system show microstructural alterations post COVID-19 recovery.

Delirium, memory loss, attention deficit and fatigue are frequently reported by COVID survivors, yet the neurological pathways underlying these symptoms are not well understood. To study the possible mechanisms for these long-term sequelae after COVID-19 recovery, we investigated the microstructural properties of white matter in Indian cohorts of COVID-recovered patients and healthy controls. For the cross-sectional study presented here, we recruited 44 COVID-recovered patients and 29 healthy controls in New Delhi, India. Using deterministic whole-brain tractography on the acquired diffusion MRI scans, we traced 20 white matter tracts and compared fractional anisotropy, axial, mean and radial diffusivity between the cohorts. Our results revealed statistically significant differences (PFWE < 0.01) in the uncinate fasciculus, cingulum cingulate, cingulum hippocampus and arcuate fasciculus in COVID survivors, suggesting the presence of microstructural abnormalities. Additionally, in a subsequent subgroup analysis based on infection severity (healthy control, non-hospitalized patients and hospitalized patients), we observed a correlation between tract diffusion measures and COVID-19 infection severity. Although there were significant differences between healthy controls and infected groups, we found no significant differences between hospitalized and non-hospitalized COVID patients. Notably, the identified tracts are part of the limbic system and orbitofrontal cortex, indicating microstructural differences in neural circuits associated with memory and emotion. The observed white matter alterations in the limbic system resonate strongly with the functional deficits reported in Long COVID. Overall, our study provides additional evidence that damage to the limbic system could be a neuroimaging signature of Long COVID. The findings identify targets for follow-up studies investigating the long-term physiological and psychological impact of COVID-19.

The WALLET Study: Financial Decision Making and Key Financial Behaviors Associated with Excess Spending

ABSTRACT Objectives The Wealth Accumulation and Losses in Later life Early Cognitive Transitions (WALLET) study data was used to examine correlates with excess spending in older adults who do and do not have early memory loss. Methods The WALLET study collected detailed financial information from participants’ primary checking account statements (n = 150). Information on participant sociodemographic, health, and disability status, memory functioning, financial decision-making, and financial literacy was also collected. Participants either had no memory problems or early memory loss. Bivariate and multiple regression analyses were conducted. Results The early memory loss group had significantly higher excess spending than those with no memory loss. Financial decision-making and higher-risk financial behaviors were also linked to higher excess spending. Early memory loss was no longer statistically significant after accounting for financial stressors and resources. Conclusions The multidimensional nature of financial capacity assessment has long been known. The WALLET study data is unique, however, in that it demonstrates the links between excess spending with decision-making, early memory loss, and a set of specific financial behaviors. Clinical Implications Real-world assessments of financial management and financial decision-making yield important information about how older adults are managing money and making key financial decisions. Checking account reviews can be used to determine excess spending.

Hesperidin neuroprotective effects against carbon monoxide-induced toxicity in male rats.

Carbon monoxide (CO) is produced via incomplete combustion of fossil fuels and it may cause long-term neurological sequel upon exposure. Hesperidin (HES), a flavanone glycoside found in citrus plants, exerts diverse beneficial health effects. The present study mechanistically examined the neuroprotective effects of HES in CO-poisoned rats. Thirty male Wistar rats (five groups of six animals) were exposed to 3000 ppm CO for 1 h. Immediately after the exposure and on the next 4 consecutive days (totally five doses), rats intraperitoneally received either normal saline (the control group) or different doses of HES (25, 50, and 100 mg/kg). A sham group that was not exposed to CO was also considered. After evaluation of spatial learning and memory using a Morris water maze (MWM), animals were sacrificed and oxidative stress status in blood samples, and Akt, Bax, Bcl2, and brain-derived neurotrophic factor (BDNF) expression in brain samples were assessed. Western blot analysis indicated increased Akt but decreased Bax/Bcl2 levels in the HES 100 mg/kg, and induced BDNF levels in all HES-treated groups. MWM results showed that HES significantly decreased memory loss. The current findings indicate that HES could alleviate neurological impairments induced by CO in rats.

Intervention modalities for brain fog caused by long-COVID: systematic review of the literature.

Individuals suffering from long-COVID can present with "brain fog", which is characterized by a range of cognitive impairments, such as confusion, short-term memory loss, and difficulty concentrating. To date, several potential interventions for brain fog have been considered. Notably, no systematic review has comprehensively discussed the impact of each intervention type on brain fog symptoms. We included studies on adult (aged > 18years) individuals with proven long- COVID brain-fog symptoms from PubMed, MEDLINE, Central, Scopus, and Embase. A search limit was set for articles published between 01/2020 and 31/12/2023. We excluded studies lacking an objective assessment of brain fog symptoms and patients with preexisting neurological diseases that affected cognition before COVID-19 infection. This review provided relevant information from 17 studies. The rehabilitation studies utilized diverse approaches, leading to a range of outcomes in terms of the effectiveness of the interventions. Six studies described noninvasive brain stimulation, and all showed improvement in cognitive ability. Three studies described hyperbaric oxygen therapy, all of which showed improvements in cognitive assessment tests and brain perfusion. Two studies showed that the use of Palmitoylethanolamide and Luteolin (PEA-LUT) improved cognitive impairment. Noninvasive brain stimulation and hyperbaric oxygen therapy showed promising results in the treatment of brain fog symptoms caused by long-COVID, with improved perfusion and cortical excitability. Furthermore, both rehabilitation strategies and PEA-LUT administration have been associated with improvements in symptoms of brain fog. Future studies should explore combinations of interventions and include longer follow-up periods to assess the long-term effects of these treatments.

Abstract PO1-20-10: Wernicke Encephalopathy Syndrome in Metastatic Breast Cancer – A Diagnostic Dilemma or An Underdiagnosed Entity

Abstract Wernicke encephalopathy (WE) is an acute medical syndrome that manifests as a clinical triad of encephalopathy, gait ataxia, and oculomotor dysfunction, requiring urgent treatment. Early recognition and treatment can prevent severe neurological morbidity and the chronic neurological consequence of WE, known as Korsakoff syndrome. Thiamine (vitamin B1) deficiency is the root cause of WE, which can occur due to several underlying conditions, including chronic alcoholism, hyperemesis of pregnancy, malnutrition, prolonged fasting, and malignancy. In cases of malignancy, WE is often undiagnosed or misdiagnosed because the presenting symptoms can be confused with several other complications of malignancy. We present the case of a 47-year-old woman with no significant medical history who was diagnosed with triple negative metastatic breast cancer and admitted to the hospital with confusion, memory loss, and progressive lower extremity weakness. During her breast cancer treatments, she experienced significant nausea and vomiting, leading to a prolonged state of nutritional imbalance. Patient underwent extensive infectious and neurological workup for encephalopathy including lumbar puncture which was negative for leptomeningeal disease or infection. MRI brain did not show any new metastatic lesions however revealed enhancement of mammillary bodies bilaterally. Mammillary body enhancement can be seen in WE but not always present on imaging. She was treated for WE with high dose of thiamine infusion for five days, resulting in an improvement of her neurological symptoms. Diagnosing WE in cancer patients is challenging, as there are various factors to consider, such as cerebral metastasis, infection, chemotherapy treatment, and electrolyte imbalances, that can cause neurological symptoms. Cancer patients are at high risk for development of WE due to chemotherapy or whole brain radiation induced nausea and vomiting that can lead to chronic malnutrition. The typical triad of symptoms is not present in many cases and presenting symptoms can be nonspecific which makes the diagnosis challenging. As a result, WE is often underdiagnosed in such patients, making it essential to educate the physician community about this acute neurological manifestation that can be easily treated. A high index of suspicion is necessary for early recognition, and prompt treatment can prevent Korsakoff syndrome, thereby enhancing the overall quality of life of patients with malignancy. Citation Format: Archit Patel, Arya Mariam Roy, Ronald Alberico, Shipra Gandhi. Wernicke Encephalopathy Syndrome in Metastatic Breast Cancer – A Diagnostic Dilemma or An Underdiagnosed Entity [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-20-10.