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Usage Information

Inhibiting triggering receptor expressed on myeloid cells 1 signaling to ameliorate skin fibrosis
Swarna Bale, Priyanka Verma, Bharath Yalavarthi, Matija Bajželj, Syed A.M. Hasan, Jenna N. Silverman, Katherine Broderick, Kris A. Shah, Timothy Hamill, Dinesh Khanna, Alexander B. Sigalov, Swati Bhattacharyya, John Varga
Swarna Bale, Priyanka Verma, Bharath Yalavarthi, Matija Bajželj, Syed A.M. Hasan, Jenna N. Silverman, Katherine Broderick, Kris A. Shah, Timothy Hamill, Dinesh Khanna, Alexander B. Sigalov, Swati Bhattacharyya, John Varga
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Research Article Infectious disease

Inhibiting triggering receptor expressed on myeloid cells 1 signaling to ameliorate skin fibrosis

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Abstract

Systemic sclerosis (SSc) is characterized by immune system failure, vascular insult, autoimmunity, and tissue fibrosis. TGF-β is a crucial mediator of persistent myofibroblast activation and aberrant extracellular matrix production in SSc. The factors responsible for this are unknown. By amplifying pattern recognition receptor signaling, triggering receptor expressed on myeloid cells 1 (TREM-1) is implicated in multiple inflammatory conditions. In this study, we used potentially novel ligand-independent TREM-1 inhibitors in preclinical models of fibrosis and explanted SSc skin fibroblasts in order to investigate the pathogenic role of TREM-1 in SSc. Selective pharmacological TREM-1 blockade prevented and reversed skin fibrosis induced by bleomycin in mice and mitigated constitutive collagen synthesis and myofibroblast features in SSc fibroblasts in vitro. Our results implicate aberrantly activated TREM-1 signaling in SSc pathogenesis, identify a unique approach to TREM-1 blockade, and suggest a potential therapeutic benefit for TREM-1 inhibition.

Authors

Swarna Bale, Priyanka Verma, Bharath Yalavarthi, Matija Bajželj, Syed A.M. Hasan, Jenna N. Silverman, Katherine Broderick, Kris A. Shah, Timothy Hamill, Dinesh Khanna, Alexander B. Sigalov, Swati Bhattacharyya, John Varga

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Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 2,941 162
PDF 374 76
Figure 515 2
Table 213 0
Supplemental data 283 8
Citation downloads 309 0
Totals 4,635 248
Total Views 4,883

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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