Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

AbstractDiabetes causes a range of complications that can affect multiple organs. Hyperglycemia is an important driver of diabetes‐associated complications, mediated by biological processes such as dysfunction of endothelial cells, fibrosis, and alterations in leukocyte number and function. Here, we dissected the transcriptional response of key cell types to hyperglycemia across multiple tissues using single‐cell RNA sequencing (scRNA‐seq) and identified conserved, as well as organ‐specific, changes associated with diabetes complications. By studying an early time point of diabetes, we focus on biological processes involved in the initiation of the disease, before the later organ‐specific manifestations had supervened. We used a mouse model of type 1 diabetes and performed scRNA‐seq on cells isolated from the heart, kidney, liver, and spleen of streptozotocin‐treated and control male mice after 8 weeks and assessed differences in cell abundance, gene expression, pathway activation, and cell signaling across organs and within organs. In response to hyperglycemia, endothelial cells, macrophages, and monocytes displayed organ‐specific transcriptional responses, whereas fibroblasts showed similar responses across organs, exhibiting altered metabolic gene expression and increased myeloid‐like fibroblasts. Furthermore, we found evidence of endothelial dysfunction in the kidney, and of endothelial‐to‐mesenchymal transition in streptozotocin‐treated mouse organs. In summary, our study represents the first single‐cell and multi‐organ analysis of early dysfunction in type 1 diabetes‐associated hyperglycemia, and our large‐scale dataset (comprising 67 611 cells) will serve as a starting point, reference atlas, and resource for further investigating the events leading to early diabetic disease.

Original publication




Journal article


The FASEB Journal



Publication Date