Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 260

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Identification of human epididymis protein-4 as a fibroblast-derived mediator of fibrosis

Open access
LeBleu, Valerie S, Teng, Yingqi, O'Connell, Joyce T, Charytan, David, Müller, Gerhard A, Müller, Claudia A, Sugimoto, Hikaru, Kalluri, Raghu·2013·Nature Medicine
DOI 10.1038/nm.2989
Open this paper in CoChat — free account

Abstract

The functional contribution of myofibroblasts in fibrosis is not well understood. Using a new genetic mouse model to track and isolate myofibroblasts, we performed gene expression profiling followed by biological validation to identify HE4 (encoding human epididymis protein 4, also known as WAP 4-disulfide core domain-2 or Wfdc2) as the most upregulated gene in fibrosis-associated myofibroblasts. The HE4 gene encodes for a putative serine protease inhibitor that is upregulated in human and mouse fibrotic kidneys and is elevated in the serum of patients with kidney fibrosis. HE4 suppresses the activity of multiple proteases, including serine proteases and matrix metalloproteinases, and specifically inhibits their capacity to degrade type I collagen. In particular, we identified two serine proteases, Prss35 and Prss23, as HE4 targets with functional relevance in kidney fibrosis. Administration of HE4-neutralizing antibodies accelerated collagen I degradation and inhibited fibrosis in three different mouse models of renal disease. Collectively these studies suggest that HE4 is a potential biomarker of renal fibrosis and a new therapeutic target.

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 · 10.1038/nm.2989

Cites

27 of 27 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

Cited by

See all 260

Metadata

Authors
LeBleu, V. S., Teng, Y., O'Connell, J. T., Charytan, D., Müller, G. A., Müller, C. A., Sugimoto, H., & Kalluri, R.
Venue
Nature Medicine
Publisher
Springer Science and Business Media LLC
Published
2013-01-27
Volume
19
Issue
2
Pages
227-231
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
DOI
10.1038/nm.2989
OpenAlex
W1995011038
Cited by
260
References
27
FWCI
10.39
Type
journal article
Language
en
Open access
green

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

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.