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  5. Targeting inflammation for the treatment of Diabetic Kidney Disease: a five-compartment mechanistic model
 
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Targeting inflammation for the treatment of Diabetic Kidney Disease: a five-compartment mechanistic model
File(s)
s12882-022-02794-8.pdf (1.51 MB)
Published version
OA Location
https://bmcnephrol.biomedcentral.com/articles/10.1186/s12882-022-02794-8
Author(s)
Hofherr, Alexis
Williams, Julie
Gan, Li-Ming
Söderberg, Magnus
Hansen, Pernille BL
more
Type
Journal Article
Abstract
Diabetic kidney disease (DKD) is the leading cause of kidney failure worldwide. Mortality and morbidity associated with DKD are increasing with the global prevalence of type 2 diabetes. Chronic, sub-clinical, non-resolving inflammation contributes to the pathophysiology of renal and cardiovascular disease associated with diabetes. Inflammatory biomarkers correlate with poor renal outcomes and mortality in patients with DKD. Targeting chronic inflammation may therefore offer a route to novel therapeutics for DKD. However, the DKD patient population is highly heterogeneous, with varying etiology, presentation and disease progression. This heterogeneity is a challenge for clinical trials of novel anti-inflammatory therapies. Here, we present a conceptual model of how chronic inflammation affects kidney function in five compartments: immune cell recruitment and activation; filtration; resorption and secretion; extracellular matrix regulation; and perfusion. We believe that the rigorous alignment of pathophysiological insights, appropriate animal models and pathology-specific biomarkers may facilitate a mechanism-based shift from recruiting 'all comers' with DKD to stratification of patients based on the principal compartments of inflammatory disease activity.
Date Issued
2022-06-13
Date Acceptance
2022-04-20
Citation
BMC Nephrology, 2022, 23 (1)
URI
http://hdl.handle.net/10044/1/97959
DOI
https://www.dx.doi.org/10.1186/s12882-022-02794-8
ISSN
1471-2369
Publisher
BioMed Central
Journal / Book Title
BMC Nephrology
Volume
23
Issue
1
Copyright Statement
© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
License URL
http://creativecommons.org/licenses/by/4.0/
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/35698028
PII: 10.1186/s12882-022-02794-8
Subjects
Biomarkers
Diabetes
Diabetic kidney disease
Inflammation
Animals
Biomarkers
Diabetes Mellitus, Type 2
Diabetic Nephropathies
Humans
Inflammation
Kidney
Publication Status
Published
Coverage Spatial
England
Article Number
ARTN 208
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