Dataset Information

Resident Macrophages Reprogram Toward a Developmental State After Acute Kidney Injury

ABSTRACT: Background – Acute kidney injury (AKI) is a devastating clinical condition affecting at least two-thirds of critically ill patients and among these patients is associated with a greater than 60% risk of mortality. Kidney mononuclear phagocytes (MP) are necessary for pathogenesis and healing in mouse models of AKI and thus have been the subject of investigation as potential targets for clinical interventions. Methods and Results – We have determined that, after injury, F4/80Hi-expressing kidney resident macrophages (KRM) are a distinct cellular subpopulation that does not differentiate from non-resident infiltrating MP. However, if KRM are depleted using polyinosinic:polycytidylic acid (poly I:C), they can be reconstituted from bone marrow derived precursors. Further, KRM lack major histocompatibility complex class II (MHCII) expression before post-parturition day 7 (P7) but upregulate it over the next 14 days. This MHCII- KRM phenotype reappears after injury. RNA sequencing shows injury causes transcriptional reprogramming of KRM to more closely resemble that found at P7. Post-injury KRM are also enriched in Wingless-type MMTV integration site family (Wnt) signaling, indicating a pathway vital for mouse and human kidney development is active. Conclusions – These data indicate that mechanisms involved in kidney development may be active after injury in KRM.

ORGANISM(S): Mus musculus

PROVIDER: GSE121410 | GEO | 2019/04/16

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Microarray analysis of human kidneys with acute kidney injury (AKI) has been limited because such kidneys are seldom biopsied. However, all kidney transplants experience AKI, and early kidney transplants without rejection are an excellent model for human AKI: they are screened to exclude chronic kidney disease, frequently biopsied, and have extensive follow-up. We used histopathology and microarrays to compare indication biopsies from 28 transplants with AKI to 11 pristine protocol biopsies of stable transplants. Kidneys with AKI showed increased expression of 394 injury-repair response associated transcripts, including many known epithelial injury molecules (e.g. ITGB6, LCN2), tissue remodeling molecules (e.g. VCAN), and inflammation molecules (S100A8, ITGB3). Many other genes also predict the phenotype, depending on statistical filtering rules, including AKI biomarkers as HAVCR1 and IL18. Most mouse orthologs of the top injury-repair transcripts were increased in published mouse AKI models. Pathway analysis of the injury-repair transcripts revealed similarities to cancer, development, and cell movement. The injury-repair transcript score AKI kidneys correlated with reduced function, future recovery, brain death, and need for dialysis, but not future graft loss. In contrast, histologic features of "acute tubular injury" did not correlate with function or with the molecular changes. Thus the injury-repair associated transcripts represent a massive coordinate injury-repair response of kidney parenchyma to AKI, similar to mouse AKI models, and provide an objective measure for assessing the severity of AKI in kidney biopsies and validation for the use of many AKI biomarkers. AKI biopsies sample names and CEL files are from GSE21374. All consenting renal transplant patients undergoing biopsies for cause as standard of care between 09/2004 and 10/2007 at the university of Alberta or between 11/2006 and 02/2007 at the University of Illinois were included in the analysis. In addition to the cores required for standard histopathology, we collected one core for gene expression studies. the relationship between gene expression in the biopsy and subsequent graft loss was analyzed. This dataset is part of the TransQST collection.

Dataset Information

Resident Macrophages Reprogram Toward a Developmental State After Acute Kidney Injury

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets