Helical ultrastructure of the metalloprotease meprin α in complex with a small molecule inhibitor.
Charles Bayly-JonesChristopher J LuptonClaudia FritzHariprasad VenugopalDaniel RamsbeckMichael WermannChristian JägerAlex de MarcoStephan SchillingDagmar SchlenzigJames C WhisstockPublished in: Nature communications (2022)
The zinc-dependent metalloprotease meprin α is predominantly expressed in the brush border membrane of proximal tubules in the kidney and enterocytes in the small intestine and colon. In normal tissue homeostasis meprin α performs key roles in inflammation, immunity, and extracellular matrix remodelling. Dysregulated meprin α is associated with acute kidney injury, sepsis, urinary tract infection, metastatic colorectal carcinoma, and inflammatory bowel disease. Accordingly, meprin α is the target of drug discovery programs. In contrast to meprin β, meprin α is secreted into the extracellular space, whereupon it oligomerises to form giant assemblies and is the largest extracellular protease identified to date (~6 MDa). Here, using cryo-electron microscopy, we determine the high-resolution structure of the zymogen and mature form of meprin α, as well as the structure of the active form in complex with a prototype small molecule inhibitor and human fetuin-B. Our data reveal that meprin α forms a giant, flexible, left-handed helical assembly of roughly 22 nm in diameter. We find that oligomerisation improves proteolytic and thermal stability but does not impact substrate specificity or enzymatic activity. Furthermore, structural comparison with meprin β reveal unique features of the active site of meprin α, and helical assembly more broadly.
Keyphrases
- small molecule
- acute kidney injury
- high resolution
- extracellular matrix
- electron microscopy
- urinary tract infection
- drug discovery
- endothelial cells
- squamous cell carcinoma
- small cell lung cancer
- oxidative stress
- magnetic resonance
- public health
- gene expression
- nitric oxide
- hydrogen peroxide
- cardiac surgery
- african american
- deep learning
- contrast enhanced
- optical coherence tomography
- solid state
- liquid chromatography
- pluripotent stem cells