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
Myeloid-related protein-14 regulates deep vein thrombosis
Yunmei Wang, Huiyun Gao, Chase W. Kessinger, Alvin Schmaier, Farouc A. Jaffer, Daniel I. Simon
Yunmei Wang, Huiyun Gao, Chase W. Kessinger, Alvin Schmaier, Farouc A. Jaffer, Daniel I. Simon
View: Text | PDF
Research Article Cardiology Vascular biology

Myeloid-related protein-14 regulates deep vein thrombosis

  • Text
  • PDF
Abstract

Using transcriptional profiling of platelets from patients presenting with acute myocardial infarction, we identified myeloid-related protein-14 (MRP-14, also known as S100A9) as an acute myocardial infarction gene and reported that platelet MRP-14 binding to platelet CD36 regulates arterial thrombosis. However, whether MRP-14 plays a role in venous thrombosis is unknown. We subjected WT and Mrp-14–deficient (Mrp-14-/-) mice to experimental models of deep vein thrombosis (DVT) by stasis ligation or partial flow restriction (stenosis) of the inferior vena cava. Thrombus weight in response to stasis ligation or stenosis was reduced significantly in Mrp-14-/- mice compared with WT mice. The adoptive transfer of WT neutrophils or platelets, or the infusion of recombinant MRP-8/14, into Mrp-14-/- mice rescued the venous thrombosis defect in Mrp-14-/- mice, indicating that neutrophil- and platelet-derived MRP-14 directly regulate venous thrombogenesis. Stimulation of neutrophils with MRP-14 induced neutrophil extracellular trap (NET) formation, and NETs were reduced in venous thrombi harvested from Mrp-14-/- mice and in Mrp-14-/- neutrophils stimulated with ionomycin. Given prior evidence that MRP-14 also regulates arterial thrombosis, but not hemostasis (i.e., reduced bleeding risk), MRP-14 appears to be a particularly attractive molecular target for treating thrombotic cardiovascular diseases, including myocardial infarction, stroke, and venous thromboembolism.

Authors

Yunmei Wang, Huiyun Gao, Chase W. Kessinger, Alvin Schmaier, Farouc A. Jaffer, Daniel I. Simon

×

Figure 6

In vitro NETosis in WT and Mrp-14-/- neutrophils.

Options: View larger image (or click on image) Download as PowerPoint
In vitro NETosis in WT and Mrp-14-/- neutrophils.
(A) Representative ima...
(A) Representative images of immunofluorescence (IF) staining for citrullinated histone 3 (His3Cit, green) and nuclei (DAPI, blue) in unstimulated and ionomycin-stimulated WT or Mrp-14-/- peritoneal neutrophils. (B) Example of linear or strand-like staining of His3Cit-positive cells. (C) Quantification of His3Cit-positive cells in unstimulated (0 minutes) and ionomycin-stimulated (90- or 180-minute stimulation) peritoneal neutrophils. (D) Ionomycin-stimulated NETosis of WT or Mrp-14-/- peripheral blood neutrophils detected by IF for His3Cit (green), neutrophils (mAb 7/4, red), and nuclei (DAPI, blue). (E) Quantification of His3Cit-positive cells in unstimulated and ionomycin-stimulated (120 minutes) blood neutrophils. Each dot represents 1 mouse from 3–5 independent experiments. Data for each mouse were obtained by averaging the quantification of 4–6 images of each mouse. Images were visualized by a fluorescence microscope (Leica DM 2000, LED) and captured by a Q-Imaging digital camera (Retiga 2000R). Scale bars: 20 μm (A); 10 μm (B); 5 μm (D). Data represent mean ± SD. P values were obtained by conducting 1-way ANOVA followed by post-hoc test with the Bonferroni criterion using SPSS (version 24, IBM).

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts