NEUROBIOLOGY OF DISEASE | 卷:144 |
Accelerated transsulfuration metabolically defines a discrete subclass of amyotrophic lateral sclerosis patients | |
Article | |
Chen, Qiuying1  Konrad, Csaba2  Sandhu, Davinder1  Roychoudhury, Dipa3  Schwartz, Benjamin I.1  Cheng, Roger R.1  Bredvik, Kirsten2  Kawamata, Hibiki2  Calder, Elizabeth L.4  Studer, Lorenz4  Fischer, Steven. M.3  Manfredi, Giovanni2  Gross, Steven. S.1  | |
[1] Weill Cornell Med, Dept Pharmacol, New York, NY 10065 USA | |
[2] Brain & Mind Res Inst, Weill Cornell Med, New York, NY 10065 USA | |
[3] Agilent Technol, Santa Clara, CA USA | |
[4] Sloan Kettering Inst Canc Ctr, Ctr Stem Cell Biol, New York, NY USA | |
关键词: Sporadic amyotrophic lateral sclerosis; Metabolomics; Stable isotope tracing; Transsulfuration; Cysteine; Methionine; Disease stratification; | |
DOI : 10.1016/j.nbd.2020.105025 | |
来源: Elsevier | |
【 摘 要 】
Amyotrophic lateral sclerosis is a disease characterized by progressive paralysis and death. Most ALS-cases are sporadic (sALS) and patient heterogeneity poses challenges for effective therapies. Applying metabolite profiling on 77-sALS patient-derived-fibroblasts and 43-controls, we found similar to 25% of sALS cases (termed sALS-1) are characterized by transsulfuration pathway upregulation, where methionine-derived-homocysteine is channeled into cysteine for glutathione synthesis. sALS-1 fibroblasts selectively exhibited a growth defect under oxidative conditions, fully-rescued by N-acetylcysteine (NAC). [U-C-13]-glucose tracing showed transsulfuration pathway activation with accelerated glucose flux into the Krebs cycle. We established a four-metabolite support vector machine model predicting sALS-1 metabotype with 97.5% accuracy. Both sALS-1 metabotype and growth phenotype were validated in an independent cohort of sALS cases. Importantly, plasma metabolite profiling identified a system-wide cysteine metabolism perturbation as a hallmark of sALS-1. Findings reveal that sALS patients can be stratified into distinct metabotypes with differential sensitivity to metabolic stress, providing novel insights for personalized therapy.
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10_1016_j_nbd_2020_105025.pdf | 7305KB | download |