@article{vanderVeenVlietstravanDussenetal.2020,
  author    = {van der Veen, Sanne J. and Vlietstra, Wytze J. and van Dussen, Laura and van Kuilenburg, Andr{\´e} B.P. and Dijkgraaf, Marcel G. W. and Lenders, Malte and Brand, Eva and Wanner, Christoph and Hughes, Derralynn and Elliott, Perry M. and Hollak, Carla E. M. and Langeveld, Mirjam},
  title     = {Predicting the development of anti-drug antibodies against recombinant alpha-galactosidase A in male patients with classical Fabry disease},
  series = {International Journal of Molecular Sciences},
  volume    = {21},
  journal   = {International Journal of Molecular Sciences},
  number    = {16},
  issn      = {1422-0067},
  doi       = {10.3390/ijms21165784},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-285687},
  year      = {2020},
  abstract  = {Fabry Disease (FD) is a rare, X-linked, lysosomal storage disease that mainly causes renal, cardiac and cerebral complications. Enzyme replacement therapy (ERT) with recombinant alpha-galactosidase A is available, but approximately 50\% of male patients with classical FD develop inhibiting anti-drug antibodies (iADAs) that lead to reduced biochemical responses and an accelerated loss of renal function. Once immunization has occurred, iADAs tend to persist and tolerization is hard to achieve. Here we developed a pre-treatment prediction model for iADA development in FD using existing data from 120 classical male FD patients from three European centers, treated with ERT. We found that nonsense and frameshift mutations in the α-galactosidase A gene (p = 0.05), higher plasma lysoGb3 at baseline (p < 0.001) and agalsidase beta as first treatment (p = 0.006) were significantly associated with iADA development. Prediction performance of a Random Forest model, using multiple variables (AUC-ROC: 0.77) was compared to a logistic regression (LR) model using the three significantly associated variables (AUC-ROC: 0.77). The LR model can be used to determine iADA risk in individual FD patients prior to treatment initiation. This helps to determine in which patients adjusted treatment and/or immunomodulatory regimes may be considered to minimize iADA development risk.},
  language  = {en}
}
@article{WannerFeldtRasmussenJovanovicetal.2020,
  author    = {Wanner, Christoph and Feldt-Rasmussen, Ulla and Jovanovic, Ana and Linhart, Aleš and Yang, Meng and Ponce, Elvira and Brand, Eva and Germain, Dominique P. and Hughes, Derralynn A. and Jefferies, John L. and Martins, Anna Maria and Nowak, Albina and Vujkovac, Bojan and Weidemann, Frank and West, Michael L. and Ortiz, Alberto},
  title     = {Cardiomyopathy and kidney function in agalsidase beta-treated female Fabry patients: a pre-treatment vs. post-treatment analysis},
  series = {ESC Heart Failure},
  volume    = {7},
  journal   = {ESC Heart Failure},
  number    = {3},
  doi       = {10.1002/ehf2.12647},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-235963},
  pages     = {825-834},
  year      = {2020},
  abstract  = {Long-term treatment effect studies in large female Fabry patient groups are challenging to design because of phenotype heterogeneity and lack of appropriate comparison groups, and have not been reported. We compared long-term cardiomyopathy and kidney function outcomes after agalsidase beta treatment with preceding treatment-naive outcomes. Methods and results Self-controlled pretreatment and post-treatment comparison (piecewise mixed linear modelling) included Fabry female patients ≥18 years at treatment initiation who received agalsidase beta (0.9-1.1 mg/kg every other week) for ≥2 years, with ≥2 pretreatment and ≥2 post-treatment outcome measurements during 10-year follow-up. Left ventricular posterior wall thickness (LVPWT)/interventricular septal thickness (IVST) and estimated glomerular filtration rate (eGFR, Chronic Kidney Disease Epidemiology Collaboration creatinine equation) analyses included 42 and 86 patients, respectively, aged 50.0 and 46.3 years at treatment initiation, respectively. LVPWT and IVST increased pretreatment (follow-up 3.5 years) but stabilized during 3.6 years of treatment (LVPWT: n = 38, slope difference [95\% confidence interval (CI)] = - 0.41 [ - 0.68, - 0.15] mm/year, P\(_{pre-post difference}\)<0.01; IVST: n = 38, slope difference =-0.32 [-0.67, 0.02] mm/year, P\(_{pre-post difference}\) = 0.07). These findings were not modified by renal involvement or antiproteinuric agent use. Compared with the treatment-naive period (follow-up 3.6 years), eGFR decline remained modest and stabilized within normal ranges during 4.1 years of treatment (slope difference, 95\% CI: -0.13 [-1.15, 0.89] mL/min/1.73m\(^2\)/year, P\(_{pre-post difference}\) = 0.80). Conclusions Cardiac hypertrophy, progressing during pretreatment follow-up, appeared to stabilize during sustained agalsidase beta treatment. eGFR decline remained within normal ranges. This suggests that treatment may prevent further Fabry-related progression of cardiomyopathy in female patients and maintain normal kidney function.},
  language  = {en}
}