Moderate Alzheimer's Disease Research Articles

In silico analysis of the use of solanine derivatives as a treatment for Alzheimer's disease

Alzheimer's disease (AD) is a brain illness that causes cognitive impairment in the elderly, especially females, as a result of genetics, hormones, and life experiences. It becomes more severe with age and is associated with cardiovascular disease, hypertension, and diabetes. Beta-amyloid plaques and hyper phosphorylated Tau protein buildup are common clinical findings. Misfiling of amyloid precursor protein (APP) and Amyloid beta peptide (Aβ) proteins contributes to Alzheimer's disease. Enzyme Acetylcholinesterase enzyme interacts with amyloid-beta, enhancing its accumulation in insoluble plaques, leading to successful treatment for Alzheimer's disease primarily based on lowering this enzyme. Treatments include using the Rivastigmine for mild, moderate, or severe Alzheimer's disease, which inhibits acetylcholinesterase, but may cause side effects; Solanine derivatives, nightshade toxin, it is cholinesterase inhibitory, may mitigate Alzheimer's illness is progressing. In this research utilized a molecular docking program, which is a computer's computational ability to determine the optimal position for a specific compound to bind to a protein or target, forming a target-ligand complex and displaying biological activity and aiding in the development of effective anti-AD treatments and understanding AD pathological mechanisms. The study examined complexes of 3LII (Acetylcholinesterase receptor) in the A and B chain with Solanine and Rivastigmine derivatives, using an in-silico approach. PyRx default sorter was used to improve docking accuracy. Four compounds were selected based on their higher binding affinities in chain A and B. The results showed that Solanine derivatives (alpha-Solanine, Beta1-Solanine and Beta2-Solanine) have higher binding strength (−9.0,-9.3 and −8.6) than Rivastigmine (−7.2) in chain A, and also the binding strength was high for the Solanine derivatives (alpha-Solanine, Beta1-Solanine, and Beta2-Solanine) (−9.0,-8.8 and −8.9) is higher than Rivastigmine (−6.0) in the chain B. Solanine derivatives showed higher binding strength with acetylcholinesterase, potentially for to reduce the progression of the disease.

Neural markers of reduced arousal and consciousness in mild cognitive impairment.

People with Alzheimer's Disease (AD) experience changes in their level and content of consciousness, but there is little research on biomarkers of consciousness in pre-clinical AD and Mild Cognitive Impairment (MCI). This study investigated whether levels of consciousness are decreased in people with MCI. A multi-site site magnetoencephalography (MEG) dataset, BIOFIND, comprising 83 people with MCI and 83 age matched controls, was analysed. Arousal (and drowsiness) was assessed by computing the theta-alpha ratio (TAR). The Lempel-Ziv algorithm (LZ) was used to quantify the information content of brain activity, with higher LZ values indicating greater complexity and potentially a higher level of consciousness. LZ was lower in the MCI group versus controls, indicating a reduced level of consciousness in MCI. TAR was higher in the MCI group versus controls, indicating a reduced level of arousal (i.e. increased drowsiness) in MCI. LZ was also found to be correlated with mini-mental state examination (MMSE) scores, suggesting an association between cognitive impairment and level of consciousness in people with MCI. A decline in consciousness and arousal can be seen in MCI. As cognitive impairment worsens, measured by MMSE scores, levels of consciousness and arousal decrease. These findings highlight how monitoring consciousness using biomarkers could help understand and manage impairments found at the preclinical stages of AD. Further research is needed to explore markers of consciousness between people who progress from MCI to dementia and those who do not, and in people with moderate and severe AD, to promote person-centred care.

Delineating How Non-pharmacological Approaches Can Improve Quality-of-Life in Alzheimer’s Patients

This investigation examines the positive impact of music therapy on individuals with dementia, specifically those with Alzheimer's disease (AD), to enhance their quality of life. The study explores the multifaceted benefits of music therapy, including improvements in behavior, mental health, and overall well-being. While recognizing the limitations of music as a standalone intervention for AD, the investigation examines alternative approaches while emphasizing the vivid exploration of music therapy's nuances. Music therapy has demonstrated significant potential in enhancing cognitive abilities, reducing stress, and offering a non-invasive approach without physical side effects. However, the investigation does not claim that music therapy is a definitive cure for AD. Nevertheless, it has promising potential in mitigating neuropsychiatric symptoms and enhancing cognitive skills in mild AD patients, particularly for language and expression in moderate AD patients.

Prevalence of Mild Cognitive Impairment and Alzheimer's Disease Identified in Veterans in the United States.

Diagnostic codes can be instrumental for case identification in Alzheimer's disease (AD) research; however, this method has known limitations and cannot distinguish between disease stages. Clinical notes may offer more detailed information including AD severity and can complement diagnostic codes for case identification. To estimate prevalence of mild cognitive impairment (MCI) and AD using diagnostics codes and clinical notes available in the electronic healthcare record (EHR). This was a retrospective study in the Veterans Affairs Healthcare System (VAHS). Health records from Veterans aged 65 years or older were reviewed during Fiscal Years (FY) 2010-2019. Overall, 274,736 and 469,569 Veterans were identified based on a rule-based algorithm as having at least one clinical note for MCI and AD, respectively; 201,211 and 149,779 Veterans had a diagnostic code for MCI and AD, respectively. During FY 2011-2018, likely MCI or AD diagnosis was defined by≥2 qualifiers (i.e., notes and/or codes)≥30 days apart. Veterans with only 1 qualifier were considered as suspected MCI/AD. Over the 8-year study, 147,106 and 207,225 Veterans had likely MCI and AD, respectively. From 2011 to 2018, yearly MCI prevalence increased from 0.9% to 2.2%; yearly AD prevalence slightly decreased from 2.4% to 2.1%; mild AD changed from 22.9% to 26.8%, moderate AD changed from 26.5% to 29.1%, and severe AD changed from 24.6% to 30.7. The relative distribution of AD severities was stable over time. Accurate prevalence estimation is critical for healthcare resource allocation and facilitating patients receiving innovative medicines.

Development and validation of high-performance liquid chromatography method for the simultaneous quantification of rivastigmine hydrogen tartrate and asiaticoside co-loaded in niosomes: A Box–Behnken design approach

Rivastigmine hydrogen tartrate (RHT), a reversible cholinesterase inhibitor, is considered as the first-line therapy for mild to moderate Alzheimer’s disease. Asiaticoside (AS), a pentacyclic triterpenoid saponin, is well known as cognitive enhancer due to its antioxidant effect. Based on the hypothesis of their synergistic therapeutic potential, RHT and AS were co-encapsulated in niosomal formulation. A simple, precise, and accurate high-performance liquid chromatography method was developed for simultaneous quantitative analysis. The chromatographic parameters were optimized by Box-Behnken experimental design. The separation was performed on a reversed-phase Phenomenex C18 (150 mm × 4.6 mm, 5 μm) column at 30 °C under the UV detection of 210 nm. The optimized mobile phase consisted of a mixture of 20 mM potassium dihydrogen phosphate buffer (pH 2.6) and acetonitrile (72:28 % v/v) under the isocratic mode at the flow rate of 0.9 mL/min. The developed method was fully validated under the ICH guidelines and could be successfully applied for simultaneous quantitative analysis of RHT and AS in niosomal formulation.

P75 neurotrophin receptor modulation in mild to moderate Alzheimer disease: a randomized, placebo-controlled phase 2a trial

p75 neurotrophin receptor (p75NTR) signaling pathways substantially overlap with degenerative networks active in Alzheimer disease (AD). Modulation of p75NTR with the first-in-class small molecule LM11A-31 mitigates amyloid-induced and pathological tau-induced synaptic loss in preclinical models. Here we conducted a 26-week randomized, placebo-controlled, double-blinded phase 2a safety and exploratory endpoint trial of LM11A-31 in 242 participants with mild to moderate AD with three arms: placebo, 200 mg LM11A-31 and 400 mg LM11A-31, administered twice daily by oral capsules. This trial met its primary endpoint of safety and tolerability. Within the prespecified secondary and exploratory outcome domains (structural magnetic resonance imaging, fluorodeoxyglucose positron-emission tomography and cerebrospinal fluid biomarkers), significant drug–placebo differences were found, consistent with the hypothesis that LM11A-31 slows progression of pathophysiological features of AD; no significant effect of active treatment was observed on cognitive tests. Together, these results suggest that targeting p75NTR with LM11A-31 warrants further investigation in larger-scale clinical trials of longer duration. EU Clinical Trials registration: 2015-005263-16; ClinicalTrials.gov registration: NCT03069014.

Transcranial Blood-Brain Barrier Opening in Alzheimer's Disease Patients Using a Portable Focused Ultrasound System with Real-Time 2-D Cavitation Mapping.

Focused ultrasound (FUS) in combination with microbubbles has recently shown great promise in facilitating blood-brain barrier (BBB) opening for drug delivery and immunotherapy in Alzheimer's disease (AD). However, it is currently limited to systems integrated within the MRI suites or requiring post-surgical implants, thus restricting its widespread clinical adoption. In this pilot study, we investigate the clinical safety and feasibility of a portable, non-invasive neuronavigation-guided FUS (NgFUS) system with integrated real-time 2-D microbubble cavitation mapping. A phase 1 clinical study with mild to moderate AD patients (N=6) underwent a single session of microbubble-mediated NgFUS to induce transient BBB opening (BBBO). Microbubble activity under FUS was monitored with real-time 2-D cavitation maps and dosing to ensure the efficacy and safety of the NgFUS treatment. Post-operative MRI was used for BBB opening and closure confirmation as well as safety assessment. Changes in AD biomarker levels in both blood serum and extracellular vesicles (EVs) were evaluated, while changes in amyloid-beta (Aβ) load in the brain were assessed through 18F-Florbetapir PET. BBBO was achieved in 5 out of 6 subjects with an average volume of 983±626 mm3 following FUS at the right frontal lobe both in white and gray matter regions. The outpatient treatment was completed within 34.8±10.7 min. Cavitation dose significantly correlated with the BBBO volume (R 2>0.9, N=4), demonstrating the portable NgFUS system's capability of predicting opening volumes. The cavitation maps co-localized closely with the BBBO location, representing the first report of real-time transcranial 2-D cavitation mapping in the human brain. Larger opening volumes correlated with increased levels of AD biomarkers, including Aβ42 (R 2=0.74), Tau (R 2=0.95), and P-Tau181 (R 2=0.86), assayed in serum-derived EVs sampled 3 days after FUS (N=5). From PET scans, subjects showed a lower Aβ load increase in the treated frontal lobe region compared to the contralateral region. Reduction in asymmetry standardized uptake value ratios (SUVR) correlated with the cavitation dose (R 2>0.9, N=3). Clinical changes in the mini-mental state examination over 6 months were within the expected range of cognitive decline with no additional changes observed as a result of FUS. We showed the safety and feasibility of this cost-effective and time-efficient portable NgFUS treatment for BBBO in AD patients with the first demonstration of real-time 2-D cavitation mapping. The cavitation dose correlated with BBBO volume, a slowed increase in pathology, and serum detection of AD proteins. Our study highlights the potential for accessible FUS treatment in AD, with or without drug delivery.

Assessing Quality of Life, Economic Burden, and Independence Across the Alzheimer's Disease Continuum Using Patient-Caregiver Dyad Surveys.

Alzheimer's disease (AD) and mild cognitive impairment (MCI) have negative quality of life (QoL) and economic impacts on patients and their caregivers and may increase along the disease continuum from MCI to mild, moderate, and severe AD. To assess how patient and caregiver QoL, indirect and intangible costs are associated with MCI and AD severity. An on-line survey of physician-identified patient-caregiver dyads living in the United States was conducted from June-October 2022 and included questions to both patients and their caregivers. Dementia Quality of Life Proxy, the Care-related Quality of Life, Work Productivity and Activity Impairment, and Dependence scale were incorporated into the survey. Regression analyses investigated the association between disease severity and QoL and cost outcomes with adjustment for baseline characteristics. One-hundred patient-caregiver dyads were assessed with the survey (MCI, n = 27; mild AD, n = 27; moderate AD, n = 25; severe AD, n = 21). Decreased QoL was found with worsening severity in patients (p < 0.01) and in unpaid (informal) caregivers (n = 79; p = 0.02). Dependence increased with disease severity (p < 0.01). Advanced disease severity was associated with higher costs to employers (p = 0.04), but not with indirect costs to caregivers. Patient and unpaid caregiver intangible costs increased with disease severity (p < 0.01). A significant trend of higher summed costs (indirect costs to caregivers, costs to employers, intangible costs to patients and caregivers) in more severe AD was observed (p < 0.01). Patient QoL and functional independence and unpaid caregiver QoL decrease as AD severity increases. Intangible costs to patients and summed costs increase with disease severity and are highest in severe AD.

Understanding treatment goals and their application in clinical trial design for patients with Alzheimer disease and caregivers.

As research continues towards improved treatments for Alzheimer disease (AD), there is growing interest in the views and needs from patients and caregivers on AD treatments. In this study, we surveyed patients with AD and caregivers to determine the treatment goals that are most important to them. Patients with AD and caregivers were independently recruited in Europe and North America to complete a web-based survey. Eligible participants were ≥18 years old and diagnosed with mild cognitive impairment or mild-to-moderate AD (patient-reported group) or persons involved in the care of patients with AD (caregiver-reported group). A total of 322 patients and 614 caregivers completed the survey. The demographic characteristics of patients in the patient-reported and the caregiver-reported groups were similar. Disease severity of patients was greater in the caregiver-reported group compared with the patient-reported group (72.1% versus 46.9% moderate AD). The most important goal of AD treatment in both groups was maintenance of quality of life (QoL) (patient-reported group 31.1% and caregiver-reported group 38.8%; p=0.01). This was consistent across disease stages or symptom severity except for patients with mild cognitive impairment in the caregiver-reported group where slowing the progression of memory loss was the most important treatment goal. Patient QoL was consistently the most relevant treatment goal for patients with AD and caregivers. In AD clinical trials, patient-relevant outcomes, for example, QoL, should be given high priority to reflect the needs and demands of patients with AD and their caregivers.A preliminary report of this work was presented at the 14th Clinical Trials on Alzheimer's Disease meeting (November 9-12, 2021).

Evaluating the efficacy and safety of Alzheimer's disease drugs: A meta-analysis and systematic review.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder. Dementia severity was assessed mainly through cognitive function, psychobehavioral symptoms, and daily living ability. Currently, there are not many drugs that can be selected to treat mild to moderate AD, and the value of drugs remains controversial. The aim of this study is to quantitatively evaluate the efficacy and safety of cholinesterase inhibitors (ChEIs), memantine, and sodium oligomannate (GV-971) in the treatment of patients with AD. Additionally, molecular docking analysis will be used to investigate the binding affinities of donepezil, galantamine, rivastigmine, and memantine with key receptor proteins associated with AD, including beta-amyloid (Abeta), microtubule-associated protein (MAP), apolipoprotein E4 (APOE4), and Mitofusin-2 (MFN2), to further validate the results of the meta-analysis. We obtained clinical trials characterized by randomization, placebo control, and double-blinded methodologies concerning ChEIs, memantine, and GV-971. Statistical analysis was performed using Review Manager Version 5.4 software. Molecular docking was also conducted to evaluate the results. All drugs improved the cognitive function, with the effect value ranging from -1.23 (95% CI -2.17 to -0.30) for 20 mg memantine to -3.29 (95% CI -4.14 to -2.45) for 32 mg galantamine. Although 32 mg galanthamine and GV-971 did not improve the clinicians' Global Impression of Change scale, other drugs showed significant results compared with placebo. On NPI, only 10 mg of donepezil and 24 mg of galantamine had improvement effects. On ADCS/ADL, only 20 mg memantine and 900 mg GV-971 had no significant difference from the placebo. Donepezil 5 mg and GV-971 900 mg did not increase the drug withdrawal rates due to various reasons or adverse reactions when compared to the placebo. Donepezil demonstrated superior binding to the protein and exhibited greater efficacy compared to other drugs. ChEIs, memantine, and GV-971 all can slow the progression of AD but have different effects on respective assessments. Donepezil and GV-971 were relatively well tolerated.

ChatGPT as a Diagnostic Aid in Alzheimer's Disease: An Exploratory Study.

The potential of ChatGPT in medical diagnosis has been explored in various medical conditions. We assessed whether ChatGPT can contribute to the diagnosis of Alzheimer's disease (AD). We provided ChatGPT with four generated cases (mild, moderate, or advanced stage AD dementia, or mild cognitive impairment), including descriptions of their complaints, physical examinations, as well as biomarker, neuroimaging, and neuropsychological data. ChatGPT accurately diagnosed the test cases similarly to two blinded specialists. While the use of generated cases can be a limitation to our study, our findings demonstrate that ChatGPT can be a useful tool for symptom assessment and the diagnosis of AD. However, while the use of ChatGPT in AD diagnosis is promising, it should be seen as an adjunct to clinical judgment rather than a replacement.

Abstract P328: Hepatocyte Growth Factor and Incident Cognitive Impairment: The Reasons for Geographic and Racial Differences in Stroke (REGARDS)

Background: Cognitive impairment is a major public health burden in the U.S., and Black adults experience a disproportionate burden of cognitive impairment, including dementia. Hepatocyte growth factor (HGF) is a tyrosine kinase receptor MET agonist with neuroprotective properties, including peptide synthesis, neuronal regeneration, and inflammation reduction. Recombinant HGF aids endothelial repair and combats tissue fibrosis in mice. A positive HGF/MET pathway modulator (fosgonimeton) is in Phase 2 clinical trials for mild to moderate Alzheimer’s disease. We investigated the link between circulating HGF and incident cognitive impairment (ICI) in a national cohort study. Methods: REGARDS enrolled a cohort of 30,239 Black and White adults aged ≥45 in 2003-2007. ICI was identified using a 3-test battery administered every 2 years. Excluding participants with baseline cognitive impairment or stroke, with a mean follow-up of 3.5 years, 432 ICI cases and 520 controls were identified and HGF was measured in their baseline blood samples. Logistic regression estimated odds ratios (OR) of ICI by continuous HGF and also per quartile of HGF, controlling for known confounders. We assessed sex*HGF and race*HGF interactions on ICI. Restricted Cubic (RC) splines illustrated potential non-linear relationships. Results: Higher HGF was not associated with greater ICI risk in any model ( Figure ). There was no observed significant sex*HGF (P=0.58) or race*HGF interactions (P=0.19). RC splines visualized a possible non-linear relationship between lower HGF and higher risk of ICI relative to the median HGF level. Conclusions: In a prospective study of HGF in adults free from stroke or cognitive impairment, there was no clear association between higher HGF and ICI, though possible nonlinear associations might exist at low levels. This suggests that pharmaceuticals augmenting HGF pathways may benefit in primary prevention of ICI. Confirmatory studies are needed.

Safety, tolerability, and efficacy estimate of evoked gamma oscillation in mild to moderate Alzheimer's disease.

Alzheimer's Disease (AD) is a multifactorial, progressive neurodegenerative disease that disrupts synaptic and neuronal activity and network oscillations. It is characterized by neuronal loss, brain atrophy and a decline in cognitive and functional abilities. Cognito's Evoked Gamma Therapy System provides an innovative approach for AD by inducing EEG-verified gamma oscillations through sensory stimulation. Prior research has shown promising disease-modifying effects in experimental AD models. The present study (NCT03556280: OVERTURE) evaluated the feasibly, safety and efficacy of evoked gamma oscillation treatment using Cognito's medical device (CogTx-001) in participants with mild to moderate AD. The present study was a randomized, double blind, sham-controlled, 6-months clinical trial in participants with mild to moderate AD. The trial enrolled 76 participants, aged 50 or older, who met the clinical criteria for AD with baseline MMSE scores between 14 and 26. Participants were randomly assigned 2:1 to receive self-administered daily, one-hour, therapy, evoking EEG-verified gamma oscillations or sham treatment. The CogTx-001 device was use at home with the help of a care partner, over 6 months. The primary outcome measures were safety, evaluated by physical and neurological exams and monthly assessments of adverse events (AEs) and MRI, and tolerability, measured by device use. Although the trial was not statistically powered to evaluate potential efficacy outcomes, primary and secondary clinical outcome measures included several cognitive and functional endpoints. Total AEs were similar between groups, there were no unexpected serious treatment related AEs, and no serious treatment-emergent AEs that led to study discontinuation. MRI did not show Amyloid-Related Imaging Abnormalities (ARIA) in any study participant. High adherence rates (85-90%) were observed in sham and treatment participants. There was no statistical separation between active and sham arm participants in primary outcome measure of MADCOMS or secondary outcome measure of CDR-SB or ADAS-Cog14. However, some secondary outcome measures including ADCS-ADL, MMSE, and MRI whole brain volume demonstrated reduced progression in active compared to sham treated participants, that achieved nominal significance. Our results demonstrate that 1-h daily treatment with Cognito's Evoked Gamma Therapy System (CogTx-001) was safe and well-tolerated and demonstrated potential clinical benefits in mild to moderate AD.Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT03556280.

Increased extra-neurite conductivity of brain in patients with Alzheimer's disease: A pilot study

The objectives of this study were to investigate how the extra-neurite conductivity (EC) and intra-neurite conductivity (IC) were reflected in Alzheimer's disease (AD) patients compared with old cognitively normal (CN) people and patients with amnestic mild cognitive impairment (MCI) and to evaluate the association between those conductivity values and cognitive decline. To do this, high-frequency conductivity (HFC) at the Larmor frequency was obtained using MRI-based electrical property tomography (MREPT) and was decomposed into EC and IC using information of multi-shell multi-gradient direction diffusion tensor images. This prospective single-center study included 20 patients with mild or moderate AD, 25 patients with amnestic MCI, and 21 old CN participants. After decomposing EC and IC from HFC for all participants, we performed voxel-based and regions-of-interest analyses to compare conductivity between the three participant groups and to evaluate the association with either age or the Mini-Mental State Examination (MMSE) scores. We found increased EC in AD compared to CN and MCI. EC was significantly negatively associated with MMSE scores in the insula, and middle temporal gyrus. EC might be used as an imaging biomarker for helping to monitor cognitive function.

Comparative Efficacy and Safety of Monoclonal Antibodies for Cognitive Decline in Patients with Alzheimer's Disease: A Systematic Review and Network Meta-Analysis.

Recent clinical trials of anti-Aβ monoclonal antibodies (mAbs) in the treatment of early Alzheimer's disease (AD) have produced encouraging cognitive and clinical results. The purpose of this network meta-analysis (NMA) was to compare and rank mAb drugs according to their efficacy and safety. PubMed, Embase, Web of Science, and the Cochrane Library were searched for randomized controlled trials testing various mAbs for the treatment of cognitive decline in patients with AD, up to March 31, 2023. R software (version 4.2.3) along with JAGS and STATA software (version 15.0) were used for statistical analysis. Odds ratio (OR) for binary variables, mean difference (MD) for continuous variables, and their 95% confidence intervals (CI) were utilized to estimate treatment effects and rank probabilities for each mAb in terms of safety and efficacy outcomes. We calculated the surface under the cumulative ranking area (SUCRA) to evaluate each mAb, with higher SUCRA values indicating better efficacy or lower likelihood of adverse events. Thirty-three randomized controlled trials with a total of 21,087 patients were included in the current NMA, involving eight different mAbs. SUCRA values showed that aducanumab (87.01% and 99.37%, respectively) was the most likely to achieve the best therapeutic effect based on the changes of Mini-Mental State Examination (MMSE) and Clinical Dementia Rating scale Sum of Boxes (CDR-SB) scores. Donanemab (88.50% and 99.00%, respectively) performed better than other therapies for Alzheimer's Disease Assessment Scale-cognitive subscale (ADAS-cog) and Positron Emission Tomography-Standardized Uptake Value ratio (PET-SUVr). Lecanemab (87.24%) may be the most promising way to slow down the decrease of Alzheimer's Disease Cooperative Study-Activities of Daily Living (ADCS-ADL) score. In the analysis of the incidence of adverse events (subjects with any treatment-emergent adverse event), gantenerumab (89.12%) had the least potential for adverse events, while lecanemab (0.79%) may cause more adverse events. Solanezumab (95.75% and 80.38%, respectively) had the lowest incidence of amyloid-related imaging abnormalities characterized by edema and effusion (ARIA-E) and by cerebral microhemorrhages (ARIA-H) of the included immunotherapies. While SUCRA values provided a comprehensive measure of treatment efficacy, the inherent statistical uncertainty required careful analysis in clinical application. Despite immunotherapies significantly increasing the risks of adverse events and ARIA, the data suggest that mAbs can effectively improve the cognitive function of patients with mild and moderate AD. According to the NMA, aducanumab was the most likely to achieve significant improvements in different cognitive and clinical assessments (statistically improved MMSE and CDR-SB), followed by donanemab (statistically improved ADAS-Cog, and PET-SUVr) and lecanemab (statistically improved ADCS-ADL).

Radiolabeling, Characterization, And In Vitro Cell Culture Studies of Donepezil-Loaded Niosome Formulations For Brain Imaging

Dementia has posed a significant public health challenge for aging populations in developed countries for many years. Alzheimer's Disease (AD) is the most prevalent cause of dementia, marked by cognitive and behavioral irregularities resulting from cholinergic dysfunction, a progressive and irreversible neurodegenerative disorder. Restoring cholinergic neurotransmission can alleviate impaired cognitive and behavioral symptoms in AD patients. Donepezil (DNP) is an acetylcholinesterase inhibitor utilized to treat mild to moderate AD symptoms. Niosomes, non-ionic surfactant vesicles, present an array of benefits as drug delivery systems, including stability, non-immunogenicity, permeation potential, and controlled release ability. In this research, we prepared, characterized, radiolabeled with 99mTc, and evaluated DNP-loaded niosome formulations as radiopharmaceuticals for brain imaging agents. The findings suggest that this innovative radiopharmaceutical ([99mTc]Tc-formulation) has the potential to serve as a promising alternative imaging agent for neurological disorders.

Relationships of change in Clinical Dementia Rating (CDR) on patient outcomes and probability of progression: observational analysis

BackgroundUnderstanding the relationship among changes in Clinical Dementia Rating (CDR), patient outcomes, and probability of progression is crucial for evaluating the long-term benefits of disease-modifying treatments. We examined associations among changes in Alzheimer’s disease (AD) stages and outcomes that are important to patients and their care partners including activities of daily living (ADLs), geriatric depression, neuropsychiatric features, cognitive impairment, and the probabilities of being transitioned to a long-term care facility (i.e., institutionalization). We also estimated the total time spent at each stage and annual transition probabilities in AD.MethodsThe study included participants with unimpaired cognition, mild cognitive impairment (MCI) due to AD, and mild, moderate, and severe AD dementia in the National Alzheimer’s Coordinating Center (NACC) Uniform Data Set (UDS) database. The associations among change in AD stages and change in relevant outcomes were estimated using linear mixed models with random intercepts. The probability of transitioning to long-term care facilities was modeled using generalized estimating equations. The total length of time spent at AD stages and annual transition probabilities were estimated with multistate Markov models.ResultsThe estimated average time spent in each stage was 3.2 years in MCI due to AD and 2.2, 2.0, and 2.8 years for mild, moderate, and severe AD dementia, respectively. The annual probabilities of progressing from MCI to mild, moderate, and severe AD dementia were 20, 4, and 0.7%, respectively. The incremental change to the next stage of participants with unimpaired cognition, MCI, and mild, moderate, and severe AD dementia (to death) was 3.2, 20, 26.6, 31, and 25.3%, respectively. Changes in ADLs, neuropsychiatric features, and cognitive measures were greatest among participants who transitioned from MCI and mild AD dementia to more advanced stages. Participants with MCI and mild and moderate AD dementia had increasing odds of being transitioned to long-term care facilities over time during the follow-up period.ConclusionsThe findings demonstrated that participants with early stages AD (MCI or mild dementia) were associated with the largest changes in clinical scale scores. Early detection, diagnosis, and intervention by disease-modifying therapies are required for delaying AD progression. Additionally, estimates of transition probabilities can inform future studies and health economic modeling.

Bioinformatics to analyze the differentially expressed genes in different degrees of Alzheimer's disease and their roles in progress of the disease.

Employing bioinformatics approaches, this investigation pinpointed pivotal differentially expressed genes (DEGs) across the spectrum of Alzheimer's disease (AD), from incipient to severe stages, using the GSE28146 dataset from the GEO repository. Analytical methods included DEG identification via the limma package in R, coupled with GO and KEGG pathway analyses through clusterProfiler, to discern biological processes and pathway involvements. Key findings spotlighted the roles of proteasome subunits PSMB4, PSMB8, PSMC4, and PSMD6 in the early stage, ribosomal proteins RPS3 and RPL11 during moderate AD, and mitochondrial components COX5B, COX6B2, and COX7A2 in severe AD, underscoring their importance in the disease's pathogenesis. Conclusively, these results not only delineate the dynamic genetic shifts accompanying AD progression but also propose critical biomarkers for potential therapeutic targeting, offering a consolidated basis for future AD research and treatment development. This offered a novel idea for analyzing the pathogenesis and development of AD and investigation of targeted drugs.

Inter-hospital moderate and advanced Alzheimer's disease detection through convolutional neural networks

Electroencephalography (EEG) has been a fundamental technique in the identification of health conditions since its discovery. This analysis specifically centers on machine learning (ML) and deep learning (DL) methodologies designed for the analysis of electroencephalogram (EEG) data to categorize individuals with Alzheimer's Disease (AD) into two groups: Moderate or Advanced Alzheimer's dementia.Our study is based on a comprehensive database comprising 668 volunteers from 5 different hospitals, collected over a decade. This diverse dataset enables better training and validation of our results. Among the methods evaluated, the CNN (deep learning) approach outperformed others, achieving a remarkable classification accuracy of 97.45% for patients with Moderate Alzheimer's Dementia (ADM) and 97.03% for patients with Advanced Alzheimer's Dementia (ADA). Importantly, all the compared methods were rigorously assessed under identical conditions. The proposed DL model, specifically CNN, effectively extracts time domain features from EEG data in time, resulting in a significant reduction in learnable parameters and data redundancy.

Dyadic Art Appreciation and Self-Expression Program (NCGG-ART) for People with Dementia or Mild Cognitive Impairment and Their Family Caregivers: A Feasibility Study.

Non-pharmacological interventions effective for depressive mood and bilateral relationships among persons with cognitive impairment (PwCI) and their family caregivers (FCGs) have not been established. To examine the feasibility of a newly developed group-based art appreciation and self-expression program (NCGG-ART) for dyads of PwCI and their FCGs. This pilot randomized control trial included 34 dyads of PwCI diagnosed with mild to moderate Alzheimer's disease or mild cognitive impairment, and their FCGs, from an outpatient rehabilitation service (Holistic Physio-Cognitive Rehabilitation [HPCR]). Participants were randomly divided equally into the HPCR (control group) or NCGG-ART and HPCR (intervention group) groups. Both included 1-hour weekly, 6-week programs. The primary outcome was depressive symptoms among FCGs assessed using the Patient Health Questionnaire-9 (PHQ-9). Feasibility outcomes included participant satisfaction and motivation. FCGs were interviewed about their experiences and feelings regarding the program, which were analyzed using content analysis. Thirty-two dyads (intervention group:16; control group:16) completed the study period. High participation rates, satisfaction, and motivation were demonstrated throughout the intervention. Scores in the PHQ-9 among FCGs did not show positive effects: mean changes in the score were 1.3 for the intervention group and -0.8 for the control group (Cohen d:0.56). However, the qualitative analysis revealed favorable experiences and feelings of the FCGs, such as positive emotions, social interactions, and person-centered attitudes to and positive relationships with PwCI. This program demonstrated high feasibility with FCGs' favorable responses to emotions and relationships with PwCI, ensuring future investigations with a confirmatory study design.