Randles Michael J, Lausecker Franziska, Kong Qingyang, Suleiman Hani, Reid Graeme, Kolatsi-Joannou Maria, Davenport Bernard, Tian Pinyuan, Falcone Sara, Potter Paul, Van Agtmael Tom, Norman Jill T, Long David A, Humphries Martin J, Miner Jeffrey H, Lennon Rachel
Wellcome Centre for Cell-Matrix Research, Division of Cell-Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom.
Department of Renal Medicine, University College London, London, United Kingdom.
J Am Soc Nephrol. 2021 Jul;32(7):1713-1732. doi: 10.1681/ASN.2020101442. Epub 2021 May 28.
Accumulation of extracellular matrix in organs and tissues is a feature of both aging and disease. In the kidney, glomerulosclerosis and tubulointerstitial fibrosis accompany the decline in function, which current therapies cannot address, leading to organ failure. Although histologic and ultrastructural patterns of excess matrix form the basis of human disease classifications, a comprehensive molecular resolution of abnormal matrix is lacking.
Using mass spectrometry-based proteomics, we resolved matrix composition over age in mouse models of kidney disease. We compared the changes in mice with a global characterization of human kidneymatrix during aging and to existing kidney disease datasets to identify common molecular features.
Ultrastructural changes in basement membranes are associated with altered cell adhesion and metabolic processes and with distinct matrix proteomes during aging and kidney disease progression in mice. Within the altered matrix, basement membrane components (laminins, type IV collagen, type XVIII collagen) were reduced and interstitial matrix proteins (collagens I, III, VI, and XV; fibrinogens; and nephronectin) were increased, a pattern also seen in human kidney aging. Indeed, this signature of matrix proteins was consistently modulated across all age and disease comparisons, and the increase in interstitial matrix was also observed in human kidney disease datasets.
This study provides deep molecular resolution of matrix accumulation in kidney aging and disease, and identifies a common signature of proteins that provides insight into mechanisms of response to kidney injury and repair.
细胞外基质在器官和组织中的积累是衰老和疾病的一个特征。在肾脏中,肾小球硬化和肾小管间质纤维化伴随着功能衰退,而目前的治疗方法无法解决这一问题,最终导致器官衰竭。尽管过量基质的组织学和超微结构模式构成了人类疾病分类的基础,但对异常基质缺乏全面的分子解析。
我们使用基于质谱的蛋白质组学技术,解析了肾病小鼠模型中随年龄变化的基质组成。我们将小鼠的变化与人类肾脏衰老过程中基质的整体特征以及现有的肾病数据集进行比较,以确定共同的分子特征。
在小鼠衰老和肾病进展过程中,基底膜的超微结构变化与细胞黏附及代谢过程的改变以及不同的基质蛋白质组相关。在改变的基质中,基底膜成分(层粘连蛋白、IV型胶原、XVIII型胶原)减少,而间质基质蛋白(I型、III型、VI型和XV型胶原;纤维蛋白原;以及肾连接蛋白)增加,这种模式在人类肾脏衰老中也可见。事实上,在所有年龄和疾病比较中,这种基质蛋白特征都持续受到调节,并且在人类肾病数据集中也观察到间质基质增加。
本研究提供了肾脏衰老和疾病中基质积累的深度分子解析,并确定了一种共同的蛋白质特征,为深入了解肾脏损伤和修复反应机制提供了线索。