Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 304

The DOI matches its Crossref record.

Inflammation in Diabetic Kidney Disease

Pérez-Morales, Rosa E., del Pino, María Dolores, Valdivielso, José Manuel, Ortiz, Alberto, Mora-Fernández, Carmen, Navarro-González, Juan F.·2019·Nephron

Abstract

Background: Diabetes is a growing public health problem. Diabetic kidney disease (DKD) is the most prevalent chronic renal disease and the major cause of end-stage renal failure worldwide, predominantly due to the increase of Type 2 diabetes associated with obesity. The intimate mechanisms leading to the development and progression of renal injury in DKD are not well understood, but current knowledge indicates that its pathogenesis is multifactorial, where the immune response and inflammation appear to be relevant factors. Summary: This review summarizes the role of relevant inflammatory molecules and pathways that participate in the development of DKD. Likewise, we focused on the new therapeutic approaches based on anti-inflammatory effects of different drugs. Key Messages: This new pathogenic perspective of DKD as an inflammatory condition leads to novel horizons, such as the potential role of inflammatory signaling pathways and their downstream products as emerging biomarkers and promising therapeutic targets.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1159/000493278

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 304

Metadata

Authors
Pérez-Morales, R. E., del Pino, M. D., Valdivielso, J. M., Ortiz, A., Mora-Fernández, C., & Navarro-González, J. F.
Venue
Nephron
Publisher
S. Karger AG
Published
2018-10-01
Volume
143
Issue
1
Pages
12-16
ISSN
  • 1660-8151 (ISSN-L)
  • 2235-3186
OpenAlex
W2893204356
Cited by
304
References
0
FWCI
9.52
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Inflammation in Diabetic Kidney Disease. https://app.cochat.ai/papers/10.1159/000493278
The paper
Pérez-Morales, R. E., del Pino, M. D., Valdivielso, J. M., Ortiz, A., Mora-Fernández, C., & Navarro-González, J. F. (2019). Inflammation in Diabetic Kidney Disease. Nephron. https://doi.org/10.1159/000493278

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.