Almut Heinken, Hussein Awada, Vito R. T. Zanotelli, D. Sean Froese, Rosa-Maria Guéant-Rodriguez, Jean-Louis Guéant
Cobalamin (vitamin B12) is an essential cofactor for two human enzymes, methionine synthase and methylmalonyl-CoA mutase. Inborn errors of cobalamin metabolism (IECMs) are inherited genetic defects resulting in improper transport, modification, or utilization of cobalamin and include inherited methylmalonic acidurias, a group of IECMs most frequently caused by a defect in the methylmalonyl-CoA mutase enzyme. Here, we performed genome-scale modeling of IECMs to gain insight into their metabolic perturbations. First, we simulated deficiencies in 11 IECM-related genes and demonstrated that they cluster based on impaired metabolic pathways. Next, we leveraged RNA sequencing data from fibroblasts of 202 individuals with methylmalonic aciduria and 19 unaffected controls to construct and interrogate personalized metabolic models. Finally, we analyzed fluxes differing between patients depending on reported symptom presentation. Our findings reveal that (i) metabolic pathways including fatty acid metabolism and heme biosynthesis have reduced flux in IECMs, (ii) in personalized simulations, succinate and fumarate production and heme biosynthesis are impaired, especially in methylmalonyl-CoA mutase deficiency, (iii) one-carbon metabolism reactions such as serine hydroxymethyltransferase and folylglutamate synthase have reduced flux in all individuals with methylmalonic aciduria, and (iv) specific metabolic pathways are up- or down-regulated according to symptoms, including failure to thrive and hematological abnormalities, and treatments, such as antibiotics and protein restriction. Overall, our study delineates metabolic pathways perturbed in IECMs. In future applications, our modeling framework could be applied to other rare genetic diseases or used to predict personalized therapeutic or dietary interventions.
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<p>Since its EU approval in 2016, the oral pharmacological chaperone migalastat has been available as a treatment option for Fabry disease (FD) patients with amenable GLA mutations; real-world data are crucial for better defining its effectiveness and its role in clinical practice.</p><p>Two recent studies published in the <i>Journal of Inherited Metabolic Disease</i>—by Hughes et al. [<span>1</span>] and Pisani et al. [<span>2</span>] offer contrasting insights into the effects of migalastat in a real-world setting. Notably, the study by Hughes et al. [<span>1</span>] was funded by Amicus Therapeutics, while the study by Pisani et al. [<span>2</span>] was supported by Sanofi.</p><p>Hughes et al. [<span>1</span>] analyzed 125 patients from the followME Pathfinder Registry (age at enrolment ≥ 12 years; median 58 years), ~75% of whom were treatment-naïve and ~25% had received ERT for ≤ 2 years. Only patients receiving ≥ 3 years of uninterrupted migalastat therapy were included. The reported annualized eGFR change was −0.9 mL/min/1.73 m<sup>2</sup>/year (95% confidence interval [CI]: −10.8, 9.9), with a low incidence of Fabry-associated clinical events (FACEs) (20.0%: 19.2% cardiac, 0.8% renal), suggesting favorable long-term outcomes. However, the broad CI and exclusion of patients treated for < 3 years may reflect a survivorship bias, potentially overestimating treatment benefit.</p><p>In contrast, Pisani et al. [<span>2</span>] evaluated 83 patients (median age at ERT initiation: 44 years; at switch to migalastat: 50 years) who switched from ≥ 1 year of agalsidase beta to migalastat for ≥ 6 months. The authors observed a mean eGFR decline of −1.96 mL/min/1.73 m<sup>2</sup>/year after the switch, with increasing lyso-Gb<sub>3</sub> levels, particularly in patients with the classic phenotype. Classic males experienced notable worsening in proteinuria and cardiac biomarkers.</p><p>Key differences in patient selection, baseline characteristics, and methodology are critical to interpreting these findings.</p><p>First, Hughes included predominantly treatment-naïve subjects with a median age of 58 years at treatment initiation, likely reflecting a milder disease course. In addition, patients treated with migalastat for ≤ 3 years were excluded, potentially overestimating effectiveness by excluding those who discontinued before 3 years due to inefficacy or intolerance. Conversely, Pisani's cohort comprised exclusively previously treated patients, with a median age of 50 years at switch to migalastat (and 44 years at first FD-treatment), and a higher proportion of classic males (38.6% vs. 6.7% in Hughes), a group known to have more severe manifestations. Moreover, Pisani analyzed a broader, more representative population, including both patients who successfully responded to migalastat and those who required to switch back to ERT. Again, variant amenability in Hughes may be overestimated, as some included mutations had high residual enzyme activity or u
{"title":"Real-World Migalastat Use in Fabry Disease: Comparative Insights From the Pisani and Hughes Studies","authors":"Eleonora Riccio, Antonio Pisani","doi":"10.1002/jimd.70080","DOIUrl":"https://doi.org/10.1002/jimd.70080","url":null,"abstract":"<p>Since its EU approval in 2016, the oral pharmacological chaperone migalastat has been available as a treatment option for Fabry disease (FD) patients with amenable GLA mutations; real-world data are crucial for better defining its effectiveness and its role in clinical practice.</p><p>Two recent studies published in the <i>Journal of Inherited Metabolic Disease</i>—by Hughes et al. [<span>1</span>] and Pisani et al. [<span>2</span>] offer contrasting insights into the effects of migalastat in a real-world setting. Notably, the study by Hughes et al. [<span>1</span>] was funded by Amicus Therapeutics, while the study by Pisani et al. [<span>2</span>] was supported by Sanofi.</p><p>Hughes et al. [<span>1</span>] analyzed 125 patients from the followME Pathfinder Registry (age at enrolment ≥ 12 years; median 58 years), ~75% of whom were treatment-naïve and ~25% had received ERT for ≤ 2 years. Only patients receiving ≥ 3 years of uninterrupted migalastat therapy were included. The reported annualized eGFR change was −0.9 mL/min/1.73 m<sup>2</sup>/year (95% confidence interval [CI]: −10.8, 9.9), with a low incidence of Fabry-associated clinical events (FACEs) (20.0%: 19.2% cardiac, 0.8% renal), suggesting favorable long-term outcomes. However, the broad CI and exclusion of patients treated for < 3 years may reflect a survivorship bias, potentially overestimating treatment benefit.</p><p>In contrast, Pisani et al. [<span>2</span>] evaluated 83 patients (median age at ERT initiation: 44 years; at switch to migalastat: 50 years) who switched from ≥ 1 year of agalsidase beta to migalastat for ≥ 6 months. The authors observed a mean eGFR decline of −1.96 mL/min/1.73 m<sup>2</sup>/year after the switch, with increasing lyso-Gb<sub>3</sub> levels, particularly in patients with the classic phenotype. Classic males experienced notable worsening in proteinuria and cardiac biomarkers.</p><p>Key differences in patient selection, baseline characteristics, and methodology are critical to interpreting these findings.</p><p>First, Hughes included predominantly treatment-naïve subjects with a median age of 58 years at treatment initiation, likely reflecting a milder disease course. In addition, patients treated with migalastat for ≤ 3 years were excluded, potentially overestimating effectiveness by excluding those who discontinued before 3 years due to inefficacy or intolerance. Conversely, Pisani's cohort comprised exclusively previously treated patients, with a median age of 50 years at switch to migalastat (and 44 years at first FD-treatment), and a higher proportion of classic males (38.6% vs. 6.7% in Hughes), a group known to have more severe manifestations. Moreover, Pisani analyzed a broader, more representative population, including both patients who successfully responded to migalastat and those who required to switch back to ERT. Again, variant amenability in Hughes may be overestimated, as some included mutations had high residual enzyme activity or u","PeriodicalId":16281,"journal":{"name":"Journal of Inherited Metabolic Disease","volume":"48 5","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jimd.70080","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}