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深入理解自闭症:通过文献挖掘连接知识

Developing a Deeper Understanding of Autism: Connecting Knowledge through Literature Mining.

作者信息

Macedoni-Lukšič Marta, Petrič Ingrid, Cestnik Bojan, Urbančič Tanja

机构信息

Department of Child Neurology, University Pediatric Hospital Ljubljana, Bohoričeva 20, 1000 Ljubljana, Slovenia.

出版信息

Autism Res Treat. 2011;2011:307152. doi: 10.1155/2011/307152. Epub 2011 Jun 7.

DOI:10.1155/2011/307152
PMID:22937244
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3420468/
Abstract

In the field of autism, an enormous increase in available information makes it very difficult to connect fragments of knowledge into a more coherent picture. We present a literature mining method, RaJoLink, to search for matched themes in unrelated literature that may contribute to a better understanding of complex pathological conditions, such as autism. 214 full text articles on autism, published in PubMed, served as a source of data. Using ontology construction, we identified the main concepts of what is already known about autism. Then, the RaJoLink method, based on Swanson's ABC model, was used to reveal potentially interesting, but not yet investigated, connections between different concepts in research. Among the more interesting concepts identified with RaJoLink in our study were calcineurin and NF-kappaB. Both terms can be linked to neuro-immune abnormalities in the brain of patients with autism. Further research is needed to provide stronger evidence about calcineurin and NF-kappaB involvement in autism. However, the analysis presented confirms that this method could support experts on their way towards discovering hidden relationships and towards a better understanding of the disorder.

摘要

在自闭症领域,可用信息的大量增加使得将知识片段整合为更连贯的图景变得极为困难。我们提出了一种文献挖掘方法——RaJoLink,用于在不相关文献中搜索匹配主题,这可能有助于更好地理解诸如自闭症等复杂病理状况。发表于PubMed上的214篇关于自闭症的全文文章用作数据来源。通过本体构建,我们确定了关于自闭症已知信息的主要概念。然后,基于斯旺森ABC模型的RaJoLink方法被用于揭示研究中不同概念之间潜在有趣但尚未研究的联系。在我们的研究中,通过RaJoLink确定的更有趣的概念包括钙调神经磷酸酶和核因子κB。这两个术语都可与自闭症患者大脑中的神经免疫异常联系起来。需要进一步研究以提供关于钙调神经磷酸酶和核因子κB参与自闭症的更有力证据。然而,所呈现的分析证实,该方法能够在专家发现隐藏关系并更好理解该疾病的过程中提供支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f14a/3420468/ccc81672f2ae/AURT2011-307152.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f14a/3420468/ccc81672f2ae/AURT2011-307152.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f14a/3420468/ccc81672f2ae/AURT2011-307152.001.jpg

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Prevalence of autism spectrum disorders - Autism and Developmental Disabilities Monitoring Network, United States, 2006.自闭症谱系障碍的患病率 - 美国自闭症与发育障碍监测网络,2006年
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