Skip to search boxSkip to navigationSkip to main content

Systems pharmacology of VEGF165b in peripheral artery disease

*Corresponding author for this work
  • Johns Hopkins University
    ,
  • University of Virginia
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

We built a whole-body computational model to study the role of the poorly understood vascular endothelial growth factor (VEGF) 165b splice isoform in peripheral artery disease (PAD). This model was built and validated using published and new experimental data from cells, mice, and humans, and explicitly accounts for known properties of VEGF 165b : lack of extracellular matrix (ECM)-binding and weak phosphorylation of vascular endothelial growth factor receptor-2 (VEGFR2) in vitro. The resulting model captures all known information about VEGF 165b distribution and signaling in human PAD, and provides novel, nonintuitive insight into VEGF 165b mechanism of action in vivo. Although VEGF 165a and VEGF 165b compete for VEGFR2 in vitro, simulations show that these isoforms do not compete for VEGFR2 at much lower physiological concentrations. Instead, reduced VEGF 165a may drive impaired VEGFR2 signaling. The model predicts that VEGF 165b does compete for binding to VEGFR1, supporting a VEGFR1-mediated response to anti-VEGF 165b . The model predicts a key role for VEGF 165b in PAD, but in a different way than previously hypothesized.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 833-844 (12 pages)

Journal (Volume, Issue Number)

CPT: Pharmacometrics and Systems Pharmacology (Volume 6, Issue 12)

Publication milestones

  • Published - 12/2017

Publication status

Published - 12/2017

ISSN

2163-8306

Publication IDs

  • Scopus: 85036501836
  • PubMed: 29193887

Publication metrics

Metrics

Fractional count
1
Fractional count
0.25
Fractional count
3
Fractional count
0.75
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
FWCI
1.54
SciVal
Author count
4
SciVal
citations
11
SciVal
Paper percentile
77

PlumX, opens in new tab

Citation count
17
Captures
19

Funding Details

Source of Funding. This work was funded by National Defense Science and Engineering Graduate (NDSEG) Fellowship (to L.E.C.), R01HL101200 (to F.M.G. and B.H.A.), 1R01 HL116455 (to B.H.A.), 1R01 HL121635 (to B.H.A.), R00HL093219 (to F.M.G.), a Sloan Research Fellowship (to F.M.G.), and the American Heart Associate Scientist Development Grant 16SDG30340002 (to V.C.G.).
FundersFunding numbers
NHLBI
R01HL116455
NDSEG
16SDG30340002, 1R01 HL116455, R01HL101200, 1R01 HL121635, R00HL093219