Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Effects of SIPA1L1 on trabecular meshwork extracellular matrix protein accumulation and cellular phagocytosis in POAG
Chenyu Xu, … , Hao Sun, Tao Guo
Chenyu Xu, … , Hao Sun, Tao Guo
Published October 3, 2024
Citation Information: JCI Insight. 2024;9(22):e174836. https://doi.org/10.1172/jci.insight.174836.
View: Text | PDF
Research Article Ophthalmology

Effects of SIPA1L1 on trabecular meshwork extracellular matrix protein accumulation and cellular phagocytosis in POAG

  • Text
  • PDF
Abstract

Accumulation of extracellular matrix (ECM) proteins in trabecular meshwork (TM), which leads to increased outflow resistance of aqueous humor and consequently high intraocular pressure, is a major cause of primary open-angle glaucoma (POAG). According to our preliminary research, the RapGAP protein superfamily member, signal-induced proliferation-associated 1-like 1 protein (SIPA1L1), which is involved in tissue fibrosis, may have an impact on POAG by influencing ECM metabolism of TM. This study aims to confirm these findings and identify effects and cellular mechanisms of SIPA1L1 on ECM changes and phagocytosis in human TM (HTM) cells. Our results showed that the expression of SIPA1L1 in HTM cells was significantly increased by TGF-β2 treatment in label-free quantitative proteomics. The aqueous humor and TM cell concentration of SIPA1L1 in POAG patients was higher than that of control. In HTM cells, TGF-β2 increased expression of SIPA1L1 along with accumulation of ECM, RhoA, and p-cofilin 1. The effects of TGF-β2 were reduced by si-SIPA1L1. TGF-β2 decreased HTM cell phagocytosis by polymerizing cytoskeletal actin filaments, while si-SIPA1L1 increased phagocytosis by disassembling actin filaments. Simultaneously, overexpressing SIPA1L1 alone exhibited comparable effects to that of TGF-β2. Our studies demonstrate that SIPA1L1 not only promotes the production of ECM, but also inhibits its removal by reducing phagocytosis. Targeting SIPA1L1 degradation may become a significant therapy for POAG.

Authors

Chenyu Xu, Jiahong Wei, Dan Song, Siyu Zhao, Mingmin Hou, Yuchen Fan, Li Guo, Hao Sun, Tao Guo

×

Figure 1

Label-free quantitative proteomics identifies SIPA1L1 protein is enriched in HTM cells after TGF-β2 treatment.

Options: View larger image (or click on image) Download as PowerPoint
Label-free quantitative proteomics identifies SIPA1L1 protein is enriche...
HTM cells were treated with TGF-β2 (5 ng/mL) for 48 hours (TGFβ2 group) or without (control group), and the lysates were tested by label-free quantitative proteomics. The experiment used 3 individual HTM cell strains. (A) A total of 110 proteins were identified with greater than 2-fold differences and P < 0.05 between 2 groups according to protein clustering analysis. Red: Higher expression levels. Blue: Lower expression levels. Number: Intensity of each protein normalized by z score. (B) Levels of SIPA1L1 in control and TGF-β2–treated HTM cells. Data are expressed as mean ± SEM (n = 3). (C) The top 10 statistically significant enriched KEGG pathways in TGF-β2–treated cells, in which the ECM-receptor interaction and regulation of actin cytoskeleton are the most prominent (highlighted in red). Count: The number of proteins corresponding to the pathway. (D) Pathways associated with the upregulated proteins and downregulated proteins. Log2 fc, the fold change of each protein transformed by log2. (E) After analyses of protein clustering and KEGG, differentially expressed proteins that are closely relevant to ECM accumulation and actin cytoskeleton regulation in TGF-β2–treated HTM cells were determined. **P < 0.01 compared with controls by unpaired, 2-tailed Student’s t test.

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts