Cited by 86Systemic Sclerosis and Related DiseasesImmune Response and InflammationTGF-β signaling in diseases

Chronic Toll-like receptor 4 stimulation in skin induces inflammation, macrophage activation, transforming growth factor beta signature gene expression, and fibrosis

Open access
Stifano, Giuseppina, Affandi, Alsya J, Mathes, Allison L, Rice, Lisa M, Nakerakanti, Sashidhar, Nazari, Banafsheh, Lee, Jungeun, Christmann, Romy B +1 more·2014·Arthritis Research & Therapy

Abstract

Introduction: The crucial role of innate immunity in the pathogenesis of systemic sclerosis (SSc) is well established, and in the past few years the hypothesis that Toll-like receptor 4 (TLR4) activation induced by endogenous ligands is involved in fibrogenesis has been supported by several studies on skin, liver, and kidney fibrosis. These findings suggest that TLR4 activation can enhance transforming growth factor beta (TGF-β) signaling, providing a potential mechanism for TLR4/Myeloid differentiation factor 88 (MyD88)-dependent fibrosis. Methods: The expression of TLR4, CD14 and MD2 genes was analyzed by real-time polymerase chain reaction from skin biopsies of 24 patients with diffuse cutaneous SSc. In order to investigate the effects of the chronic skin exposure to endotoxin (Lipopolysaccharide (LPS)) in vivo we examined the expression of inflammation, TGF-β signaling and cellular markers genes by nanostring. We also identified cellular subsets by immunohistochemistry and flow cytometry. Results: We found that TLR4 and its co-receptors, MD2 and CD14, are over-expressed in lesional skin from patients with diffuse cutaneous SSc, and correlate significantly with progressive or regressive skin disease as assessed by the Delta Modified Rodnan Skin Score. In vivo, a model of chronic dermal LPS exposure showed overexpression of proinflammatory chemokines, recruitment and activation of macrophages, and upregulation of TGF-β signature genes. Conclusions: We delineated the role of MyD88 as necessary for the induction not only for the early phase of inflammation, but also for pro-fibrotic gene expression via activation of macrophages. Chronic LPS exposure might be a model of early stage of SSc when inflammation and macrophage activation are important pathological features of the disease, supporting a role for innate immune activation in SSc skin fibrosis.

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 · 10.1186/ar4598

Cites

40 of 40 references verified0 citation errors · 0 not checkable

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 [177]

  • 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 [177]

Self-check

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

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

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Stifano, G., Affandi, A. J., Mathes, A. L., Rice, L. M., Nakerakanti, S., Nazari, B., Lee, J., Christmann, R. B., & Lafyatis, R.
Affiliations
Boston University (US)
Corresponding author
Stifano, Giuseppina
Venue
Arthritis Research & Therapy
Published
2014-07-01
Volume
16
Issue
4
Pages
R136-R136
ISSN
1478-6354 (ISSN-L)
OpenAlex
W2154229444
Cited by
86
References
40
Citations by year
2026: 2 · 2025: 7 · 2024: 5 · 2023: 3 · 2022: 5 · 2021: 6 · 2020: 5 · 2019: 10 · 2018: 6 · 2017: 10 · 2016: 13 · 2015: 14
FWCI
9.16
Type
journal article
Language
en
Open access
Locations
  • Arthritis Research & Therapy (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Funders
National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR051089, T32AR007598, P30AR061271, P50AR060780)
Topics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Systemic Sclerosis and Related Diseases
  • Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
Keywords
systemic sclerosis, diffuse cutaneous systemic sclerosis, TLR4, MyD88, skin fibrosis, macrophage activation, TGF-beta signaling, lipopolysaccharide, endotoxin, innate immunity, skin inflammation, chemokines, CD14, MD-2
MeSH terms
Animals, Fibrosis, Flow Cytometry, Humans, Immunohistochemistry, Inflammation, Macrophage Activation, Mice, Inbred C57BL, Scleroderma, Systemic, Skin, Transforming Growth Factor beta, Mice, Knockout, Toll-Like Receptor 4, Mice, Myeloid Differentiation Factor 88, Transcriptome, 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