Design of a stable human acid-β-glucosidase: towards improved Gaucher disease therapy and mutation classification

Sarka Pokorna, Olga Khersonsky, Rosalie Lipsh-Sokolik, Adi Goldenzweig, Rebekka Nielsen, Yacov Ashani, Yoav Peleg, Tamar Unger, Shira Albeck, Orly Dym, Asa Tirosh, Rana Tarayra, Michaël Hocquemiller, Ralph Laufer, Shifra Ben-Dor, Israel Silman, Joel L Sussman, Sarel J Fleishman, Anthony H Futerman

Research output: Contribution to journalArticlepeer-review

Abstract

Acid-β-glucosidase (GCase, EC 3.2.1.45), the lysosomal enzyme which hydrolyzes the simple glycosphingolipid, glucosylceramide (GlcCer), is encoded by the GBA1 gene. Biallelic mutations in GBA1 cause the human inherited metabolic disorder, Gaucher disease (GD), in which GlcCer accumulates, while heterozygous GBA1 mutations are the highest genetic risk factor for Parkinson's disease (PD). Recombinant GCase (e.g., Cerezyme®) is produced for use in enzyme replacement therapy for GD and is largely successful in relieving disease symptoms, except for the neurological symptoms observed in a subset of patients. As a first step towards developing an alternative to the recombinant human enzymes used to treat GD, we applied the PROSS stability-design algorithm to generate GCase variants with enhanced stability. One of the designs, containing 55 mutations compared to wild type human GCase, exhibits improved secretion and thermal stability. Furthermore, the design has higher enzymatic activity than the clinically used human enzyme when incorporated into an AAV vector, resulting in a larger decrease in the accumulation of lipid substrates in cultured cells. Based on stability-design calculations, we also developed a machine-learning based approach to distinguish benign from deleterious (i.e., disease-causing) GBA1 mutations. This approach gave remarkably accurate predictions of the enzymatic activity of single nucleotide polymorphisms in the GBA1 gene that are not currently associated with GD or PD. This latter approach could be applied to other diseases to determine risk factors in patients carrying rare mutations.
Original languageEnglish
Pages (from-to)3383-3399
Number of pages17
JournalFEBS Journal
Volume290
Issue number13
Early online date21 Feb 2023
DOIs
StatePublished - Jul 2023

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Biochemistry
  • Cell Biology

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