Nanobody-based inhibitors of connexin hemichannels and pannexin channels as novel therapeutics for the treatment of inflammatory hepatic and cardiovascular diseases.

Project Details

Description

Production of nanobodies raised against transmembrane proteins that are difficult to purify still is a technical challenge. Among those are connexin43 cCx43) and pannexin1 (Panx1), which form (hemi) channels in the plasma membrane. These (hemi)channels mediate extracellular signaling and have recently emerged as key players in inflammation. This carries translational relevance, as (hemi) channel inhibition could represent a novel strategy for the treatment of a plethora of diseases.
However, clinical exploration in this direction is impeded by the lack of sound (hemi)channel inhibitors. This project will assist in overcoming this hurdle by generating nanobodies targeted against Cx43 and Panx1, thereby relying on an unprecedented protocol that combines DNA immunization with innovative nanodisc technology. By using an in vitro/ex vivo/in vivo approach, the Cx43 and Panx1 nanobodies will be tested for their potential to inhibit (hemi)channels and to alleviate pathological features in mouse models of epidemiologically relevant inflammatory disorders in the liver and the cardiovascular system. This will be accomplished by joining scientists from the bio-engineering and (bio)medical/pharmaceutical fields in a Belgian-Swiss consortium. As such, this project lays the basis for follow-up initiatives not only to scrutinize the versatile antiinflammatory therapeutic actions of the Cx43 and Panx1 nanobodies, but also to develop nanobodies raised against similar challenging targets.
Short title or EU acronymFWO Lead Agency
AcronymFWOAL879
StatusFinished
Effective start/end date1/01/1831/12/21

Keywords

  • liver
  • cardiovascular system
  • medical sciences

Flemish discipline codes in use since 2023

  • Cardiac and vascular medicine not elsewhere classified

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.