Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, 130012, Changchun, China.
Zhuhai Sub Laboratory, Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Zhuhai College of Jilin University, 519041, Zhuhai, China.
Int J Biol Sci. 2019 Aug 6;15(10):2065-2074. doi: 10.7150/ijbs.35743. eCollection 2019.
About 29.8 million people worldwide had been diagnosed with Alzheimer's disease (AD) in 2015, and the number is projected to triple by 2050. In 2018, AD was the fifth leading cause of death in Americans with 65 years of age or older, but the progress of AD drug research is very limited. It is helpful to identify the key factors and research trends of AD for guiding further more effective studies. We proposed a framework named as LDAP, which combined the atent irichlet llocation model and ffinity ropagation algorithm to extract research topics from 95,876 AD-related papers published from 2007 to 2016. Trends and hotspots analyses were performed on LDAP results. We found that the focus points of AD research for the past 10 years include 15 diseases, 15 amino acids, peptides, and proteins, 9 enzymes and coenzymes, 7 hormones, 7 carbohydrates, 5 lipids, 2 organophosphonates, 18 chemicals, 11 compounds, 13 symptoms, and 20 phenomena. Our LDAP framework allowed us to trace the evolution of research trends and the most popular areas of interest (hotspots) on disease, protein, symptom, and phenomena. Meanwhile, 556 AD related-genes were identified, which are enriched in 12 KEGG pathways including the AD pathway and nitrogen metabolism pathway. Our results are freely available at https://www.keaml.cn/Alzheimer.
全球约有 2980 万人在 2015 年被诊断患有阿尔茨海默病（AD），预计到 2050 年，这一数字将增加两倍。2018 年，AD 是导致美国 65 岁及以上人群死亡的第五大原因，但 AD 药物研究的进展非常有限。确定 AD 的关键因素和研究趋势有助于指导进一步更有效的研究。我们提出了一个名为 LDAP 的框架，该框架结合了 atent irichlet llocation 模型和 ffinity ropagation 算法，从 2007 年至 2016 年发表的 95876 篇 AD 相关论文中提取研究主题。对 LDAP 结果进行了趋势和热点分析。我们发现，过去 10 年 AD 研究的重点包括 15 种疾病、15 种氨基酸、肽和蛋白质、9 种酶和辅酶、7 种激素、7 种碳水化合物、5 种脂质、2 种有机膦、18 种化学品、11 种化合物、13 种症状和 20 种现象。我们的 LDAP 框架使我们能够追踪研究趋势的演变以及疾病、蛋白质、症状和现象方面最受欢迎的研究领域（热点）。同时，确定了 556 个与 AD 相关的基因，这些基因富集在包括 AD 途径和氮代谢途径在内的 12 个 KEGG 途径中。我们的结果可在 https://www.keaml.cn/Alzheimer 上免费获取。
