Back

Resolution of the circulating pathogenic phenotype of alpha-1 antitrypsin deficiency following liver transplantation

Heyer-Chauhan, N. I.; Ronzoni, R.; Aldobiyan, I.; Miranda, E.; Marshall, A.; Hurst, J. R.; Irving, J. A.; Lomas, D. A.

2025-12-02 pathology
10.64898/2025.11.29.691315 bioRxiv
Show abstract

Alpha-1 antitrypsin is a member of the serpin family of protease inhibitors and normally found in monomeric form at high concentration in the circulation. Certain pathogenic variants of this protein self-assemble into flexible chains (polymers) that undergo toxic accumulation in the liver, underlying the development of liver disease, and a corresponding functional deficiency in circulation results in a susceptibility to chronic damage to the lungs and thereby COPD. A proportion of these polymers are detectable in the circulation. This study aimed to provide data on the dynamics of AAT monomers and polymers in the circulation after correction of a deficiency state by liver transplantation. The evolution of the circulating AAT phenotype was characterised quantitatively over time by analysis of blood samples taken pre- and post-liver transplant from three PiZZ AAT deficiency patients, using a panel of conformer-specific monoclonal antibodies and a novel ELISA with enhanced sensitivity for AAT polymers. Circulating wild-type M AAT was found to increase with a half-time of 29-39 h, attaining a clinically-defined putative protective threshold level within 24-50 h post-transplant. Baseline circulating polymer levels ranged from 5-35 g/mL with a half-time clearance of 3-12 h following transplant, and levels were indistinguishable from reference wild-type plasma 22 months post-surgery. The glycosylation profile and disappearance of detectable circulating polymers of AAT were consistent with their origin in, and canonical secretion by, the liver. To our knowledge this is the first post-transplant evaluation of the hybrid conformational profile of endogenous and donor tissue-derived AAT.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.