Evidence map›Paper›PMID 35698028›Full record

ReviewBMC nephrology2022

Targeting inflammation for the treatment of Diabetic Kidney Disease: a five-compartment mechanistic model.

Alexis Hofherr, Julie Williams, Li-Ming Gan, Magnus Söderberg, Pernille B L Hansen, Kevin J Woollard

Open access · goldAbstract readReview
In one paragraph

Review in BMC nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 53 citations in OpenAlex.

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  16. Upcoming drug targets for kidney protective effects in chronic kidney disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Alexis HofherrResearch and Early Clinical Development, Cardiovascular, Renal and Metabolism, AstraZeneca, BioPharmaceuticals R&D, Gothenburg, Sweden. alexis.hofherr@astrazeneca.com.
Julie WilliamsBioscience Renal, Research and Early Development, Cardiovascular, Renal and Metabolic, AstraZeneca, BioPharmaceuticals R&D, Gothenburg, UK.
Li-Ming GanResearch and Early Clinical Development, Cardiovascular, Renal and Metabolism, AstraZeneca, BioPharmaceuticals R&D, Gothenburg, Sweden.
Magnus SöderbergCardiovascular, Renal and Metabolic Safety, Clinical Pharmacology and Safety Sciences, AstraZeneca, BioPharmaceuticals R&D, Gothenburg, Sweden.
Pernille B L HansenBioscience Renal, Research and Early Development, Cardiovascular, Renal and Metabolic, AstraZeneca, BioPharmaceuticals R&D, Gothenburg, UK.
Kevin J WoollardBioscience Renal, Research and Early Development, Cardiovascular, Renal and Metabolic, AstraZeneca, BioPharmaceuticals R&D, Gothenburg, UK. kevin.woollard@astrazeneca.com.
AstraZeneca (Sweden) · SEAstraZeneca (United Kingdom) · GBSahlgrenska University Hospital · SEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesAnimalsBiomarkersHumansInflammationKidneyBiomarkersBiomarkersDiabetesDiabetic kidney diseaseInflammation

Identifiers

PMID35698028
PMCPMC9190142
OpenAlexW4282548256

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.