Articles

Elsevier,

Journal of Pharmaceutical Analysis, 2024, 101022, ISSN 2095-1779

This study developed four deep learning models to identify potential Alzheimer's disease treatments from traditional Chinese medicine, specifically the Kaixinsan formula. The models successfully predicted compounds that showed significant anti-Alzheimer's activities in various experimental validations.

Elsevier,

Research in Globalization, Volume 8, June 2024

This article examines the development of a Nature Farming (NF) system standard for poultry production in Brazil, aiming to better communicate the sustainability attributes of NF products throughout the supply chain. Through qualitative research with various stakeholders, the study highlights the unique environmental, economic, social, ethical, and health dimensions of NF poultry and proposes clearer labeling and certification standards. The findings suggest that establishing a dedicated NF standard can enhance product differentiation, improve consumer communication, and support sustainable supply chain management.
Elsevier,

The Lancet Healthy Longevity, Volume 5, June 2024

This article supports SDG 3 by showing that using an interactive mHealth application can reduce dementia risk factors in populations who are underserved and at increased risk.
Elsevier,

Bone Reports, Volume 21, June 2024

This article looks at complications that arise from combinations of Alzheimers and osteoporosis in mouse models
Elsevier,

Biomarkers in Neuropsychiatry, Volume 10, June 2024

This investigation aimed to understand preclinical biomarker and genetic Alzheimer’s disease research participation in underrepresented groups to facilitate greater diversity in future biomarker research and clinical trials.
Elsevier,

Neurochemistry International, Volume 176, June 2024

This study finds that impaired cellular immune dysfunction in AD patients was significantly correlated with abnormal MRS, and neuroimmune dysfunction may contribute to the pathogenesis of AD and alter the metabolism of neurotransmitters such as aspartic acid and MI in the brains of AD patients.
Elsevier,

Mechanisms of Ageing and Development, Volume 219, June 2024

This study identified key biochemical pathways and protein changes in the Alzheimer's disease (AD) human hippocampus, revealing increased expression of proteins VGF, GFAP, HSPB1, and APP, with UBC being most centrally involved, and highlighted the roles of four hub proteins (CD44, APP, ITGB2, APOE) linked to amyloid plaques and two (RPL24, RPS23) to neurofibrillary tangles, along with the impact of modified proteins on immune activation and synaptic disruption, uncovering potential therapeutic targets involving specific proteins, microRNAs, and transcription factors.
Elsevier,

Brain Research, Volume 1832, June 2024

Recent research on Alzheimer's disease (AD) suggests that microglia, immune cells in the brain, may play a beneficial role in early disease stages but become harmful in later stages due to various spatial, temporal, and transcriptional factors. Understanding the phenotypic heterogeneity and multiple states of microglia could lead to advancements in personalized medicine and improved treatment outcomes for AD patients.
Elsevier,

IBRO Neuroscience Reports, Volume 16, June 2024

This article summarizes current biomarkers, available treatments, and future therapeutic approaches for Alzheimer's disease, discussing drug targets like Amyloid β, Tau Protein, and various other mechanisms. Additionally, it highlights the historical use of Estradiol, outcomes of trials with antioxidants and omega-3 fatty acids, and ongoing clinical trials, providing a comprehensive overview of the evolving landscape in AD research and treatment.
Elsevier,

Journal of Neuroscience Methods, Volume 406, June 2024

This study presents an optimized method for isolating specific neuronal and glial cell populations and extracellular vesicles (EVs) from postmortem Alzheimer's disease (AD) cortical samples, demonstrating the feasibility of using a single cryopreserved brain sample to obtain RNA-seq and protein-level data, thereby enhancing understanding of neuron/glial interactions and disease progression.

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