Cross-Species Molecular Similarities Based on Omics Approaches in CKD: Toward Improved Translation From Pre-Clinical Models to Humans.

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2025-04-21 DOI:10.1002/pmic.202400136
Raquel María García-Sáez, Mariano Rodríguez
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Abstract

The prevalence of chronic kidney disease (CKD) is very high, and it is increasing. Obviously, the care is costly. The identification of biomarkers able to predict disease progression is key for optimal patient care. Tissue, blood, and urine omics are being used to discover new biomarkers. It is challenging to compare omics in animal models with that of CKD patients. The main obstacle is the enormous genetic difference between humans and rodents. Although animal models do not fully resemble CKD, there are possibilities to combine pathologies in an attempt to be closer to the human clinical picture. This manuscript describes Zucker rat model that has been modified to better resemble diabetic CKD: obesity, diabetes, cardiovascular disease, and renal function deterioration. This model has been used to evaluate treatments such as the administration of iSGLT2, VitE antioxidant therapy, or Mg supplementation. Plasma proteomics was performed in Nx-Zucker rats, and it was found change in families of proteins similar to those in CKD patients. Unfortunately, urine omics were not performed. It would be a good strategy to gather different research groups with similar aims to develop common strategies to share not only results but also samples obtained in patients and animals to optimize efforts.

基于组学方法的CKD跨物种分子相似性:从临床前模型到人类的改进翻译。
慢性肾脏疾病(CKD)的患病率非常高,并且呈上升趋势。显然,这种护理是昂贵的。识别能够预测疾病进展的生物标志物是优化患者护理的关键。组织、血液和尿液组学正被用于发现新的生物标志物。将动物模型中的组学与CKD患者的组学进行比较具有挑战性。主要的障碍是人类和啮齿动物之间巨大的基因差异。虽然动物模型并不完全像CKD,但有可能结合病理,试图更接近人类临床图像。本文描述了Zucker大鼠模型,该模型已被修改,以更好地模拟糖尿病CKD:肥胖,糖尿病,心血管疾病和肾功能恶化。该模型已被用于评估iSGLT2、VitE抗氧化治疗或Mg补充剂等治疗方法。在Nx-Zucker大鼠中进行血浆蛋白质组学研究,发现与CKD患者相似的蛋白家族发生了变化。不幸的是,没有进行尿液组学。将目标相似的不同研究小组聚集在一起,制定共同的策略,不仅分享结果,而且分享从患者和动物身上获得的样本,以优化工作,这将是一个很好的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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