Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 188

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Hyperuricemia-induced inflammasome and kidney diseases

Isaka, Yoshitaka, Takabatake, Yoshitsugu, Takahashi, Atsushi, Saitoh, Tatsuya, Yoshimori, Tamotsu·2016·Nephrology Dialysis Transplantation

Abstract

Classically, urate nephropathy has been postulated to cause kidney disease by depositing intraluminal crystal in the collecting duct. Recently, molecular mechanisms of inflammasome have been investigated. Urate-induced inflammasome pathway is comprised of urate crystal uptake into intracellular lysosomes and subsequent lysosomal rupture with mitochondrial reactive oxygen species (ROS) production, which activates the NLRP3 inflammasome. Against the lysosomal rupture and mitochondrial ROS production, autophagy acts to protect proximal tubular cells by isolating them from expanding the inflammation. In addition, increased cellular urate, directly or indirectly via xanthine oxidase-induced oxidative stress, may be associated with inflammasome. In addition to the traditional therapy against hyperuricemia, management of urate-induced inflammasome or augmentation of autophagy may offer the new effective therapies.

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 · 10.1093/ndt/gfv024

Cites

10 of 10 references verified0 citation errors · 0 not checkable

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

Cites

Show all 10 references

Cited by

See all 188

Metadata

Authors
Isaka, Y., Takabatake, Y., Takahashi, A., Saitoh, T., & Yoshimori, T.
Venue
Nephrology Dialysis Transplantation
Published
2015-03-31
Volume
31
Issue
6
Pages
890-896
ISSN
  • 0931-0509 (ISSN-L)
  • 1460-2385
OpenAlex
W2062607719
Cited by
188
References
10
FWCI
6.24
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: Hyperuricemia-induced inflammasome and kidney diseases. https://app.cochat.ai/papers/10.1093/ndt/gfv024
The paper
Isaka, Y., Takabatake, Y., Takahashi, A., Saitoh, T., & Yoshimori, T. (2016). Hyperuricemia-induced inflammasome and kidney diseases. Nephrology Dialysis Transplantation. https://doi.org/10.1093/ndt/gfv024

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.