Correlations between ghrelin gene polymorphisms, cognitive function, and activities of daily living among elderly patients with Alzheimer’s disease DOI Creative Commons
Wenguang Liu, Liyuan Wu, Jiaying Hu

et al.

Annals of Human Biology, Journal Year: 2025, Volume and Issue: 52(1)

Published: June 4, 2025

Single nucleotide polymorphisms (SNPs) of ghrelin gene are associated with cognitive function while is Alzheimer's disease (AD). To determine the relationship between SNPs, function, and activities daily living (ADLs) in elderly AD patients. This study included 100 patients as group, 72 healthy control group. Pearson's correlation analysis was performed. The frequency A allele at rs55821288 significantly higher group than (p < 0.05). Similarly, AA genotype MMSE, QOL-AD, ADLs scores were lower revealed that inversely correlated distribution locus had a negative linear Ghrelin closely among

Language: Английский

Nonequilibrium landscape of amyloid-beta and calcium ions in application to Alzheimer's disease DOI
Swadesh Pal, Roderick Melnik

Physical review. E, Journal Year: 2025, Volume and Issue: 111(1)

Published: Jan. 21, 2025

Amyloid-beta (Aβ) peptides and calcium ions (Ca2+) serve critical roles in various physiological processes inside neurons, but their dysregulation is involved the development of neurological disorders, including Alzheimer's disease. Particularly, Aβ42 alter Ca2+ homeostasis, resulting synaptic dysfunction neuronal damage. On other hand, can affect Aβ aggregation clearance routes, either worsening or improving AD pathogenesis. We have considered a deterministic model for Aβ−Ca2+ interaction studied its noise-induced dynamics. The stochastic sensitivity analysis helps to find confidential ellipses stable attractors system. In addition, we developed network based on between comprehend dynamics brain connectome better. probabilistic evolution approach characterizes estimates potentials required escape from one attractor another. numerical simulations suggest that more connected node requires energy switch state, noise intensity plays crucial role such cases. Furthermore, this study reveals external perturbations uncover novel targets drug provide insights into complex interplay protein misfolding disease pathology. locked icon Physics Subject Headings (PhySH)Biological neural networksConnectomeDegree distributionsDiseases, physiology & pathologyNetwork diffusionNeuronal dynamicsProtein dynamics, structure functionTherapeutics

Language: Английский

Citations

1
A case of chronic lymphocytic leukaemia with initial symptoms of cognitive impairment DOI Creative Commons
Baoye Ye,

Yilin Huang,

W. Lai

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 24, 2025

Abstract Background: Chronic lymphocytic leukaemia (CLL) is a type of that often ignored in the initial stages. Slight fever, fatigue and night sweats are common presentations, but cognitive decline rare. Case presentation: A 69-year-old patient with early-stage CLL presented rapid decline. The was taken by his wife to seek medical attention our hospital. In reports from other hospitals, Mini-mental State Examination(MMSE) score 10, Montreal Cognitive Assessment(MoCA) zero since he could not cooperate. MRI revealed bilateral hippocampal atrophy. apolipoprotein E (APOE) gene test genotype e3/e4. blood also high leucocyte lymphocyte counts. Peripheral immunotyping subsequently performed, results abnormal monoclonal mature B cells. final diagnosis CLL. Discussion: To knowledge, memory loss rare primary phase However, we linked this patient’s impairment

Language: Английский

Citations

0
Protection of Green Tea Polyphenols against Neurodegenerative Diseases: Evidence and Possible Mechanisms DOI

Yan Zhao,

Baolu Zhao

Journal of Nutrition, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0
New Peripheral Pyridine‐Substituted Cobalt, Copper, and Manganese Phthalocyanines as Potential In Vitro Acetyl/Butyrylcholinesterase Inhibitors in the Treatment of Alzheimer's Disease DOI Creative Commons
Halise Yalazan, Gökçe Seyhan,

S. Z.H. Ozkan

et al.

Applied Organometallic Chemistry, Journal Year: 2025, Volume and Issue: 39(3)

Published: Feb. 18, 2025

ABSTRACT In this research, we designed phthalocyanine compounds that are thought to be used as potential acetyl/butyrylcholinesterase inhibitors in the treatment of Alzheimer's disease. First, phthalonitrile compound ( PNM‐CN ), which is precursor for phthalocyanines, was synthesized. Then, by cyclotetramerizing compound, pyridine‐substituted peripheral cobalt PNM‐CoPc copper PNM‐CuPc and manganese PNM‐MnClPc ) were synthesized, their structures described using mass, NMR (except phthalocyanines), FT‐IR, UV–Vis phthalonitrile) spectroscopic techniques. Investigations carried out into new PNM‐Cu/Co/MnClPcs phthalocyanines' vitro inhibitory properties against butyrylcholinesterase (BuChE) acetylcholinesterase (AChE). With an IC 50 5.95 ± 2.12 μM (AChE) 0.74 0.01 (BuChE), showed most potent effect AChE BuChE among all compounds.

Language: Английский

Citations

0
A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging DOI Creative Commons

Joy Chakra Bortty,

Gouri Shankar Chakraborty,

Inshad Rahman Noman

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(6), P. 789 - 789

Published: March 20, 2025

Background/Objectives: Alzheimer’s disease (AD) is a progressive, neurodegenerative disorder, which causes memory loss and of cognitive functioning, along with behavioral changes. Early detection important to delay progression, timely intervention increase patients’ caregivers’ quality life (QoL). One the major primary challenges for preventing any identify at initial stage through quick reliable process. Different researchers across world are still working relentlessly, coming up significant solutions. Artificial intelligence-based solutions putting great importance on identifying efficiently, where deep learning medical imaging highly being utilized develop frameworks. In this work, novel optimized framework has been proposed that comes remarkable performance can classify level accurately efficiently. Methods: A powerful vision transformer model (ViT-B16) three efficient Convolutional Neural Network (CNN) models (VGG19, ResNet152V2, EfficientNetV2B3) trained benchmark dataset, ‘OASIS’, high volume brain Magnetic Resonance Images (MRI). Results: weighted average ensemble technique Grasshopper optimization algorithm designed ensure maximum accuracy 97.31%, precision 97.32, recall 97.35, F1 score 0.97. Conclusions: The work compared other existing state-of-the-art techniques, it efficiency, sensitivity, reliability. be in IoMT infrastructure one access smart remote diagnosis services.

Language: Английский

Citations

0
Moderate drinking benefits cognitive health in middle-aged and older Chinese: A latent class growth model analysis based on CHARLS DOI
Zhaoyang Xie, Zheng Zhang, Kaiwen Bi

et al.

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
Key genes and pathways in asparagine metabolism in Alzheimer’s Disease: a bioinformatics approach DOI Creative Commons
Xiaoqian Lan,

Guangli Feng,

Qing Li

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Abstract Background Asparagine (Asn) metabolism is essential for maintaining cellular homeostasis and supporting neuronal energy demands. Recent studies have suggested its dysregulation may contribute to Alzheimer’s disease (AD) pathogenesis; however, the specific genes regulatory mechanisms involved remain incompletely understood. Methods Four publicly available microarray datasets (GSE5281, GSE29378, GSE36980, GSE138260) were utilized investigate with differential expression between control AD samples. metabolism-related (AMGs) retrieved from GeneCards database, their intersection DEGs yielded candidate asparagine differentially expressed (AMG-DEGs). Functional enrichment analysis (Gene Set Enrichment Analysis, Gene Ontology Kyoto Encyclopedia of Genes Genomes), protein–protein interaction (PPI) network analysis, centrality scoring identified hub genes. Regulatory investigated through construction competing endogenous RNA transcription factor networks. Potential therapeutic compounds predicted via drug–gene evaluated using molecular docking simulations. Results Thirty-nine AMG-DEGs found be enriched in neurodevelopmental, synaptic transmission, inflammatory signaling pathways. PPI screening revealed seven ( HPRT1 , GAD2 TUBB3 GFAP CD44 CCL2 NFKBIA ). highlighted miRNAs, long non-coding RNAs, factors modulation. Drug Bathocuproine disulfonate, DL-Mevalonic acid, Phenethyl isothiocyanate as promising strong binding affinities proteins. Conclusion This study comprehensively maps reveals a set elements potentially progression. The provide foundation further experimental validation development novel metabolism-targeted strategies treatment.

Language: Английский

Citations

0
The Vicious Consequences of Chronic Kidney Disease on Cognitive Impairment and Alzheimer’s Disease DOI

Abhideep Roy,

Rubina Roy,

Pallab Bhattacharya

et al.

ACS Chemical Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: May 9, 2025

Chronic kidney disease (CKD) and Alzheimer's (AD) are two prevalent debilitating conditions that frequently coexist, with CKD contributing to cognitive decline potentially exacerbating AD pathology. In CKD, irreversible changes in the structure or function of kidneys observed, while is primarily marked by amyloid deposition tau Both involve complex multifactorial pathophysiology affecting brain functioning, highlighting need for comprehensive research understand their potential crosstalk. This review articulates possible molecular mechanisms underlying both diseases, focusing on key pathways, including oxidative stress, inflammation, vascular dysfunction, hypertension, uremic toxin accumulation. These interconnected suggest a bidirectional relationship where dysfunction accelerates vice versa. Additionally, we examine critical risk factors implicated AD, instance, vitamin D deficiency, erythropoietin dysregulation, endothelin action, klotho gene expression, role extracellular vesicle, which may influence progression through effects brain, influencing function. Further, emphasized biomarkers could aid diagnosing monitoring these comorbid conditions, like beta, tau, homocysteine, cystatin C, creatinine, proteinuria, estimated glomerular filtration rate. Lastly, highlights treatment strategies managing concurrently, therapeutic approaches address common pathophysiological mechanisms. not only aim causes but also offer slow even prevent impairment. Moreover, recommend further refine approaches, execute correlational studies progression, design clinical trials aiming establish effective, tailored treatments this dual burden disease.

Language: Английский

Citations

0
Synthesis, Biological Evaluation, and Molecular Docking Studies of Novel Coumarin–Triazole–Isatin Hybrids as Selective Butyrylcholinesterase Inhibitors DOI Creative Commons
Aleksandar Dimkovski, Vladimir Dobričić, Milena Simić

et al.

Molecules, Journal Year: 2025, Volume and Issue: 30(10), P. 2121 - 2121

Published: May 11, 2025

A series of 21 novel coumarin–triazole–isatin hybrids was synthesized and evaluated for their potential as multitarget agents in Alzheimer’s disease (AD). The compounds featured variations alkyl linker length that connects coumarin triazole substitution at the 5-position isatin ring. Several derivatives showed potent butyrylcholinesterase (BChE) inhibition with selectivity over acetylcholinesterase (AChE). lead compound, 6c1, exhibited strong BChE (IC50 = 1.74 μM), surpassing donepezil. Enzyme kinetics revealed a mixed-type mechanism, while molecular docking studies confirmed dual binding catalytic peripheral sites. Structure–activity relationship (SAR) analysis highlighted influence flexibility steric/electronic effects substituents. observed selectivity, combined favorable vitro profiles, identifies these promising leads AD drug development.

Language: Английский

Citations

0
Correlations between ghrelin gene polymorphisms, cognitive function, and activities of daily living among elderly patients with Alzheimer’s disease DOI Creative Commons
Wenguang Liu, Liyuan Wu, Jiaying Hu

et al.

Annals of Human Biology, Journal Year: 2025, Volume and Issue: 52(1)

Published: June 4, 2025

Single nucleotide polymorphisms (SNPs) of ghrelin gene are associated with cognitive function while is Alzheimer's disease (AD). To determine the relationship between SNPs, function, and activities daily living (ADLs) in elderly AD patients. This study included 100 patients as group, 72 healthy control group. Pearson's correlation analysis was performed. The frequency A allele at rs55821288 significantly higher group than (p < 0.05). Similarly, AA genotype MMSE, QOL-AD, ADLs scores were lower revealed that inversely correlated distribution locus had a negative linear Ghrelin closely among

Language: Английский

Citations

0