Exploring Advancements in Early Detection of Alzheimer's Disease with Molecular Assays and Animal Models

神经炎症 阿尔茨海默病 特雷姆2 临床试验 神经科学 疾病 生物信息学 小胶质细胞 医学 生物 病理 免疫学 炎症
作者
Papihra Sethi,Rakesh Bhaskar,Krishna Kumar Singh,Saurabh Gupta,Sung Soo Han,D Avinash,Mosleh M. Abomughaid,Apurva Koul,Bindu Rani,Shampa Ghosh,Niraj Kumar Jha,Jitendra Kumar Sinha
出处
期刊:Ageing Research Reviews [Elsevier]
卷期号:100: 102411-102411 被引量:10
标识
DOI:10.1016/j.arr.2024.102411
摘要

Alzheimer's Disease (AD) is a challenging neurodegenerative condition, with overwhelming implications for affected individuals and healthcare systems worldwide. Animal models have played a crucial role in studying AD pathogenesis and testing therapeutic interventions. Remarkably, studies on the genetic factors affecting AD risk, such as APOE and TREM2, have provided valuable insights into disease mechanisms. Early diagnosis has emerged as a crucial factor in effective AD management, as demonstrated by clinical studies emphasizing the benefits of initiating treatment at early stages. Novel diagnostic technologies, including RNA sequencing of microglia, offer promising avenues for early detection and monitoring of AD progression. Therapeutic strategies remain to evolve, with a focus on targeting amyloid beta (Aβ) and tau pathology. Advances in animal models, such as APP-KI mice, and the advancement of anti-Aβ drugs signify progress towards more effective treatments. Therapeutically, the focus has shifted towards intricate approaches targeting multiple pathological pathways simultaneously. Strategies aimed at reducing Aβ plaque accumulation, inhibiting tau hyperphosphorylation, and modulating neuroinflammation are actively being explored, both in preclinical models and clinical trials. While challenges continue in developing validated animal models and translating preclinical findings to clinical success, the continuing efforts in understanding AD at molecular, cellular, and clinical levels offer hope for improved management and eventual prevention of this devastating disease.
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