Dadousis Christos, Whetton Anthony D, Mwacalimba Kennedy, Merlo Alexandre, Wright Andrea, Geifman Nophar
School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK.
Veterinary Health Innovation Engine, School of Veterinary Medicine, University of Surrey, Guildford GU2 7XH, UK.
Animals (Basel). 2024 Nov 21;14(23):3349. doi: 10.3390/ani14233349.
Chronic kidney disease (CKD) is characterised by progressive kidney damage and encompasses a broad range of renal pathologies and aetiologies. In humans, CKD is an increasing global health problem, in particular in the western world, while in cats and dogs, CKD is one of the leading causes of mortality and morbidity. Here, we aimed to develop an enhanced understanding of the knowledge base related to the pathophysiology of renal disease and CKD in cats and dogs. To achieve this, we leveraged a text-mining approach for reviewing trends in the literature and compared the findings to evidence collected from publications related to CKD in humans. Applying a quantitative text-mining technique, we examined data on clinical signs, diseases, clinical and lab methods, cell types, cytokine, and tissue associations (co-occurrences) captured in PubMed biomedical literature. Further, we examined different types of pain within human CKD-related publications, as publications on this topic are sparser in companion animals, but with the growing importance of animal welfare and quality of life, it is an area of interest. Our findings could serve as substance for future research studies. The systematic automated review of relevant literature, along with comparative analysis, has the potential to summarise scientific evidence and trends in a quick, easy, and cost-effective way. Using this approach, we identified targeted and novel areas of investigation for renal disease in cats and dogs.
慢性肾脏病（CKD）的特征是进行性肾损伤，涵盖广泛的肾脏病理和病因。在人类中，CKD是一个日益严重的全球健康问题，尤其是在西方世界，而在猫和狗中，CKD是死亡和发病的主要原因之一。在此，我们旨在加深对猫和狗肾脏疾病及CKD病理生理学相关知识基础的理解。为实现这一目标，我们利用文本挖掘方法来回顾文献趋势，并将研究结果与从人类CKD相关出版物中收集的证据进行比较。应用定量文本挖掘技术，我们检查了PubMed生物医学文献中记录的关于临床症状、疾病、临床和实验室方法、细胞类型、细胞因子及组织关联（共现）的数据。此外，我们还研究了人类CKD相关出版物中不同类型的疼痛，因为关于这一主题的出版物在伴侣动物中较少，但随着动物福利和生活质量的重要性日益增加，这是一个令人感兴趣的领域。我们的研究结果可为未来的研究提供素材。对相关文献进行系统的自动回顾以及比较分析，有可能以快速、简便且经济高效的方式总结科学证据和趋势。通过这种方法，我们确定了猫和狗肾脏疾病的靶向研究领域和新的研究方向。
