Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Study of Efalizumab Combined With Intravitreal Ranibizumab in the Treatment of Age-Related Macular Degeneration

Vitreous -Retina- Macula Consultants of New York · 2008
ClinicalTrials.gov · Datasets · License: Public Domain · 2008
Open Source ↗
age-related-macular-degeneration
Efalizumab is an immunosuppressive recombinant humanized IgG1 monocolonal antibody (150 Kd) that binds to human CD11a (1) and is used for the treatment of plaque psoriasis. Efalizumab was derived from the humanization of the murine efalizuman monoclonal antibody MHM24, which recognizes human and chimpanzee CD11a. Humanization of MHM24 was accomplished by grafting the murine complementarity determining regions (hypervariable region) into consensus human IgG1/ heavy and light chain sequences (Werther et al 1996). These same consensus human immunoglobulin sequences have been successfully used in the humanization of other murine antibodies, including those targeted to HER2 and IgE. Efalizumab inhibits the binding of LFA-1 to intercellular adhesion molecule-1 (ICAM-1) thereby inhibiting the adhesion of leukocytes to other cell types. Ranibizumab is a recombinant, humanized, Fab fragment of a mouse monoclonal antibody targeted against VEGF. As VEGF binds to cellular receptors, it stimulates angiogenesis and vascular leakage. Blockade of VEGF by ranibizumab leads to reduced stimulation of cell proliferation and permeability resulting in inhibition of angiogenesis and decreased leakage. Ranibizumab intravitreal administration in neovascular AMD patients has been shown to effectively reduce vascular leakage and growth of CNV and to stabilize or improve visual function. To further improve visual acuity, a combination therapy using efalizumab and ranibizumab is proposed. Efalizumab could target the adhesion factors that precede angiogenesis and improve the outcome for AMD patients in combination with the anti-VEGF agent, Ranibizumab.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1246768
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive