Cited by 287Interstitial Lung Diseases and Idiopathic Pulmonary FibrosisNeonatal Respiratory Health ResearchTransplantation: Methods and Outcomes

Hyaluronan and TLR4 promote surfactant-protein-C-positive alveolar progenitor cell renewal and prevent severe pulmonary fibrosis in mice

Open access
Liang, Jiurong, Zhang, Yanli, Xie, Ting, Liu, Ningshan, Chen, Huaiyong, Geng, Yan, Kurkciyan, Adrianne, Mena, Jessica Monterrosa +3 more·2016·Nature Medicine

Abstract

Successful recovery from lung injury requires the repair and regeneration of alveolar epithelial cells to restore the integrity of gas-exchanging regions within the lung and preserve organ function. Improper regeneration of the alveolar epithelium is often associated with severe pulmonary fibrosis, the latter of which involves the recruitment and activation of fibroblasts, as well as matrix accumulation. Type 2 alveolar epithelial cells (AEC2s) are stem cells in the adult lung that contribute to the lung repair process. The mechanisms that regulate AEC2 renewal are incompletely understood. We provide evidence that expression of the innate immune receptor Toll-like receptor 4 (TLR4) and the extracellular matrix glycosaminoglycan hyaluronan (HA) on AEC2s are important for AEC2 renewal, repair of lung injury and limiting the extent of fibrosis. Either deletion of TLR4 or HA synthase 2 in surfactant-protein-C-positive AEC2s leads to impaired renewal capacity, severe fibrosis and mortality. Furthermore, AEC2s from patients with severe pulmonary fibrosis have reduced cell surface HA and impaired renewal capacity, suggesting that HA and TLR4 are key contributors to lung stem cell renewal and that severe pulmonary fibrosis is the result of distal epithelial stem cell failure.

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.4192

Cites

Statistics

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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Combining molecular imaging of fibrosis with single-cell genomics could improve patient diagnostics, staging, prognostication, stratification, and cohort enrichment, optimizing clinical trial design.

    “combining molecular imaging of fibrosis185 with cutting edge omic approaches such as single cell genomics174–176 could markedly improve patient diagnostics, staging, prognostication, stratification and cohort enrichment, which would in turn optimize clinical trial design”

    From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [178]

  • Spatially resolved molecular profiling is expanding understanding of how unique cell populations interact in situ.

    “Spatially resolved molecular profiling is expanding our understanding of how these unique populations interact in situ177–179”

    From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [178]

Self-check

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

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

The citation lists haven’t been fetched yet

References 56 · Cited by 287

Authors
Liang, J., Zhang, Y., Xie, T., Liu, N., Chen, H., Geng, Y., Kurkciyan, A., Mena, J. M., Stripp, B. R., Jiang, D., & Noble, P. W.
Affiliations
  • Cedars-Sinai Medical Center (US)
  • Duke University (US)
Corresponding author
  • Jiang, Dianhua
  • Noble, Paul W
Venue
Nature Medicine
Published
2016-10-03
Volume
22
Issue
11
Pages
1285-1293
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
OpenAlex
W2527737932
Cited by
287
References
56
Citations by year
2026: 13 · 2025: 23 · 2024: 33 · 2023: 26 · 2022: 34 · 2021: 46 · 2020: 34 · 2019: 20 · 2018: 34 · 2017: 22 · 2016: 2
FWCI
23.26
Type
journal article
Language
en
Open access
Locations
  • Nature Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • California Institute for Regenerative Medicine (RB5-07302)
  • National Institutes of Health (AI052201, HL108793)
  • University of California, San Francisco
  • National Heart, Lung, and Blood Institute (P01HL108793, R01HL122068, R01HL077291, R01HL060539)
  • National Institute of Allergy and Infectious Diseases (R01AI052201)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Neonatal Respiratory Health Research
  • Health Sciences › Medicine › Surgery › Transplantation: Methods and Outcomes
Keywords
hyaluronic acid, TLR4, pulmonary fibrosis, alveolar epithelial cells, alveolar type II cells, lung regeneration, lung repair, extracellular matrix, innate immunity, fibroblast activation
MeSH terms
Cell Self Renewal, Hyaluronan Synthases, Animals, Antibiotics, Antineoplastic, Bleomycin, Cell Line, Flow Cytometry, Humans, Hyaluronic Acid, Hydroxyproline, Immunity, Innate, Organoids, Pulmonary Fibrosis, Severity of Illness Index, Stem Cells, Glucuronosyltransferase, Interleukin-6, Mice, Knockout, Pulmonary Surfactant-Associated Protein C, Cell Proliferation, Toll-Like Receptor 4, Mice, Idiopathic Pulmonary Fibrosis, Lung Injury, Alveolar Epithelial Cells, Real-Time Polymerase Chain Reaction

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