| Literature DB >> 33777361 |
Stephen J McWilliam1,2, Rachael D Wright2, Gavin I Welsh3, Jack Tuffin3, Kelly L Budge2, Laura Swan4, Thomas Wilm4, Ioana-Roxana Martinas4, James Littlewood4,5, Louise Oni2,6.
Abstract
Acute kidney injury (AKI) has gained significant attention following patient safety alerts about the increased risk of harm to patients, including increased mortality and hospitalization. Common causes of AKI include hypovolaemia, nephrotoxic medications, ischaemia and acute glomerulonephritis, although in reality it may be undetermined or multifactorial. A period of inflammation either as a contributor to the kidney injury or resulting from the injury is almost universally seen. This article was compiled following a workshop exploring the interplay between injury and inflammation. AKI is characterized by some degree of renal cell death through either apoptosis or necrosis, together with a strong inflammatory response. Studies interrogating the resolution of renal inflammation identify a whole range of molecules that are upregulated and confirm that the kidneys are able to intrinsically regenerate after an episode of AKI, provided the threshold of damage is not too high. Kidneys are unable to generate new nephrons, and dysfunctional or repeated episodes will lead to further nephron loss that is ultimately associated with the development of renal fibrosis and chronic kidney disease (CKD). The AKI to CKD transition is a complex process mainly facilitated by maladaptive repair mechanisms. Early biomarkers mapping out this process would allow a personalized approach to identifying patients with AKI who are at high risk of developing fibrosis and subsequent CKD. This review article highlights this process and explains how laboratory models of renal inflammation and injury assist with understanding the underlying disease process and allow interrogation of medications aimed at targeting the mechanistic interplay.Entities:
Keywords: acute kidney injury; glomerulonephritis; inflammation; renal fibrosis
Year: 2020 PMID: 33777361 PMCID: PMC7986351 DOI: 10.1093/ckj/sfaa164
Source DB: PubMed Journal: Clin Kidney J ISSN: 2048-8505
FIGURE 1Cellular and molecular mechanisms of inflammation. Kidney damage is recognized by resident renal cells, dendritic cells and macrophages (as shown in area 1). Their response of cytokine and chemokine secretion is the current target for most treatments (area 2). Cytokine release triggers leucocyte recruitment to the side of damage beginning with the non-specific pathogen destruction of neutrophils (area 3). Monocytes are recruited to release further cytokine damage and differentiate into phagocytosing macrophages for the removal of apoptotic cells and damaged tissue to restore tissue homeostasis (area 4). Resolution of the damaged tissue is often accomplished by lipid mediators that could be the future targets for medical treatments of chronic inflammatory diseases.
FIGURE 2A summary of the pathway determining an individual patient’s outcome of AKI. A patient experiences an episode of AKI following a certain stimuli, such as sepsis or ischaemia, resulting in an inflammatory process that can be modified by an individual’s genetic predisposition and may be further insulted by primary modifiers including age and pre-existing disease. Secondary modifiers include additional hits such as haemodynamic instability, nephrotoxic pharmacotherapy or other interventions (radiological investigations). These impact on the subsequent inflammatory response and the eventual AKI outcome.
A summary of the urine biomarkers implicated in renal injury and inflammation
| Biomarkers implicated in renal injury [ | Biomarkers implicated in renal inflammation [ |
|---|---|
| Neutrophil gelatinase-associated lipocalin | Pentraxins |
| Kidney injury molecule-1 | IL-1-β |
| Cystatin C | Tumour necrosis factor-α |
| IL-6 and -18 | IL-8 |
| Retinol-binding protein | IL-18 |
| Glutathione S-transferase (α, η, π) | IL-12 |
| Urinary insulin-like growth factor-binding protein 7 | Interferon γ |
| Tissue inhibitor of metalloproteinases-2 | Anti-inflammatory cytokines |
| Micro-ribonucleic acids | IL-1 receptor antagonist |
| Na+/H+ exchanger isoform 3 | IL-4 |
| Perforin | TGF-β |
| Granzyme B | Adipokines and related compounds |
| Monocyte chemoattractant protein-1 (chemokine ligand 2) | Visfatin |
| N-acetyl-β-D-glucosaminidase | Resistin |
| Liver-type fatty acid-binding protein | Leptin |
| Netrin-1 | CD163 |
| Clusterin | Vascular cell adhesion molecule-1 |
| β2-microglobulin | E-selectin |
| Matrix metalloproteinases | Neopterin (monocyte/macrophage activator) |
| Endogenous ouabain | |
| Selenium-binding protein 1 | |
| BPI fold containing family A member 2 salivary protein | |
| Chromophores via multispectral optoacoustic tomography, e.g. IRDye 800CW carboxylate | |
| Fluorophores via transcutaneous detection, e.g. fluorescein isothiocyanate–sinistrin | |
| Dickkopf-3 |
Many urinary biomarkers have been evaluated to determine their role in the early identification of renal injury and inflammation within the literature, as demonstrated within this table. While many are implicated in isolation, their strength is evident once combined to produce a panel of biomarkers.
FIGURE 3Experimental models to evaluate therapeutic options in AKI. Experimental models to evaluate kidney disease suffer from the balance of reflecting accurate disease homology versus their ability to be upscaled in order to mass evaluate potential benefits of novel pharmacological treatments. As shown, animal models often reflect the disease best, but lack scalability to evaluate drugs on a large-scale basis, whereas in silico models provide a platform suitable for testing many treatments at the cost of reduced disease homology. In practice, a balance between scalability and disease homology is required prior to early phase clinical trials in humans.