Renal Disease in Cats and Dogs—Lessons Learned from Text-Mined Trends in Humans
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 mortal...
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MDPI AG
2024-11-01
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| Series: | Animals |
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| Online Access: | https://www.mdpi.com/2076-2615/14/23/3349 |
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| author | Christos Dadousis Anthony D. Whetton Kennedy Mwacalimba Alexandre Merlo Andrea Wright Nophar Geifman |
| author_facet | Christos Dadousis Anthony D. Whetton Kennedy Mwacalimba Alexandre Merlo Andrea Wright Nophar Geifman |
| author_sort | Christos Dadousis |
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| description | 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. |
| format | Article |
| id | doaj-art-0788d9d2ffb5479986cf2855c04648e6 |
| institution | OA Journals |
| issn | 2076-2615 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Animals |
| spelling | doaj-art-0788d9d2ffb5479986cf2855c04648e62025-08-20T01:55:41ZengMDPI AGAnimals2076-26152024-11-011423334910.3390/ani14233349Renal Disease in Cats and Dogs—Lessons Learned from Text-Mined Trends in HumansChristos Dadousis0Anthony D. Whetton1Kennedy Mwacalimba2Alexandre Merlo3Andrea Wright4Nophar Geifman5School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UKVeterinary Health Innovation Engine, School of Veterinary Medicine, University of Surrey, Guildford GU2 7XH, UKZoetis, Inc., Parsippany, NJ 07054, USAZoetis, Inc., Parsippany, NJ 07054, USAZoetis, Inc., Parsippany, NJ 07054, USASchool of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UKChronic 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.https://www.mdpi.com/2076-2615/14/23/3349renal diseasekidney failurechronic insufficiencycatdoghuman |
| spellingShingle | Christos Dadousis Anthony D. Whetton Kennedy Mwacalimba Alexandre Merlo Andrea Wright Nophar Geifman Renal Disease in Cats and Dogs—Lessons Learned from Text-Mined Trends in Humans Animals renal disease kidney failure chronic insufficiency cat dog human |
| title | Renal Disease in Cats and Dogs—Lessons Learned from Text-Mined Trends in Humans |
| title_full | Renal Disease in Cats and Dogs—Lessons Learned from Text-Mined Trends in Humans |
| title_fullStr | Renal Disease in Cats and Dogs—Lessons Learned from Text-Mined Trends in Humans |
| title_full_unstemmed | Renal Disease in Cats and Dogs—Lessons Learned from Text-Mined Trends in Humans |
| title_short | Renal Disease in Cats and Dogs—Lessons Learned from Text-Mined Trends in Humans |
| title_sort | renal disease in cats and dogs lessons learned from text mined trends in humans |
| topic | renal disease kidney failure chronic insufficiency cat dog human |
| url | https://www.mdpi.com/2076-2615/14/23/3349 |
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