Kim Renaid B, Irvin Cameron W, Tilva Keval R, Mitchell Cassie S
a Department of Biomedical Engineering , Georgia Institute of Technology & Emory University , Atlanta , Georgia , USA.
Amyotroph Lateral Scler Frontotemporal Degener. 2015;17(1-2):1-14. doi: 10.3109/21678421.2015.1047455. Epub 2015 May 22.
Numerous sub-cellular through system-level disturbances have been identified in over 1300 articles examining the superoxide dismutase-1 guanine 93 to alanine (SOD1-G93A) transgenic mouse amyotrophic lateral sclerosis (ALS) pathophysiology. Manual assessment of such a broad literature base is daunting. We performed a comprehensive informatics-based systematic review or 'field analysis' to agnostically compute and map the current state of the field. Text mining of recaptured articles was used to quantify published data topic breadth and frequency. We constructed a nine-category pathophysiological function-based ontology to systematically organize and quantify the field's primary data. Results demonstrated that the distribution of primary research belonging to each category is: systemic measures an motor function, 59%; inflammation, 46%; cellular energetics, 37%; proteomics, 31%; neural excitability, 22%; apoptosis, 20%; oxidative stress, 18%; aberrant cellular chemistry, 14%; axonal transport, 10%. We constructed a SOD1-G93A field map that visually illustrates and categorizes the 85% most frequently assessed sub-topics. Finally, we present the literature-cited significance of frequently published terms and uncover thinly investigated areas. In conclusion, most articles individually examine at least two categories, which is indicative of the numerous underlying pathophysiological interrelationships. An essential future path is examination of cross-category pathophysiological interrelationships and their co-correspondence to homeostatic regulation and disease progression.
在超过1300篇研究超氧化物歧化酶1第93位鸟嘌呤突变为丙氨酸(SOD1-G93A)转基因小鼠肌萎缩侧索硬化症(ALS)病理生理学的文章中,已经确定了许多从亚细胞层面到系统层面的紊乱情况。手动评估如此广泛的文献基础是一项艰巨的任务。我们进行了一次基于信息学的全面系统综述或“领域分析”,以客观地计算和描绘该领域的当前状态。对检索到的文章进行文本挖掘,以量化已发表数据的主题广度和频率。我们构建了一个基于九类病理生理功能的本体,以系统地组织和量化该领域的主要数据。结果表明,属于每一类别的主要研究分布情况如下:全身测量和运动功能,59%;炎症,46%;细胞能量学,37%;蛋白质组学,31%;神经兴奋性,22%;细胞凋亡,20%;氧化应激,18%;异常细胞化学,14%;轴突运输,10%。我们构建了一个SOD1-G93A领域图谱,直观地展示并分类了85%最常被评估的子主题。最后,我们展示了频繁发表的术语在文献中被引用的重要性,并发现了研究较少的领域。总之,大多数文章各自至少研究了两个类别,这表明存在众多潜在的病理生理相互关系。未来一个至关重要的方向是研究跨类别病理生理相互关系及其与稳态调节和疾病进展的共同对应关系。