Redox profiles of amyotrophic lateral sclerosis lymphoblasts with or without known SOD1 mutations

Background Amyotrophic lateral sclerosis (ALS) is a fatal and rapidly progressing neurodegenerative disease that affects motor neurons. This disease is associated with oxidative stress especially in mutant superoxide dismutase 1 (mutSOD1) patients. However, less is known for the most prevalent spora...

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Veröffentlicht in:European journal of clinical investigation 2022-09, Vol.52 (9), p.e13798-n/a
Hauptverfasser: Cunha‐Oliveira, Teresa, Silva, Daniela Franco, Segura, Luis, Baldeiras, Inês, Marques, Ricardo, Rosenstock, Tatiana, Oliveira, Paulo J., Silva, Filomena S. G.
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Sprache:eng
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Zusammenfassung:Background Amyotrophic lateral sclerosis (ALS) is a fatal and rapidly progressing neurodegenerative disease that affects motor neurons. This disease is associated with oxidative stress especially in mutant superoxide dismutase 1 (mutSOD1) patients. However, less is known for the most prevalent sporadic ALS form, due to a lack of disease models. Here, we studied oxidative stress profiles in lymphoblasts from ALS patients with mutSOD1 or unknown (undSOD1) mutations. Methods mutSOD1 and undSOD1 lymphoblasts, as well as sex/age‐matched controls (3/group) were obtained from Coriell and divided into 46 years‐old‐men (C1), 46 years‐old‐women (C2) or 26/27 years‐old‐men (C3) cohorts. Growth curves were performed, and several parameters associated with redox homeostasis were evaluated, including SOD activity and expression, general oxidative stress levels, lipid peroxidation, response to oxidative stimulus, glutathione redox cycle, catalase expression, and activity, and Nrf2 transcripts. Pooled (all cohorts) and paired (intra‐cohort) statistical analyses were performed, followed by clustering and principal component analyses (PCA). Results Although a high heterogeneity among lymphoblast redox profiles was found between cohorts, clustering analysis based on 7 parameters with high chi‐square ranking (total SOD activity, oxidative stress levels, catalase transcripts, SOD1 protein levels, metabolic response to mM concentrations of tert‐butyl hydroperoxide, glutathione reductase activity, and Nrf2 transcript levels) provided a perfect cluster segregation between samples from healthy controls and ALS (undSOD1 and mutSOD1), also visualized in the PCA. Conclusions Our results show distinct redox signatures in lymphoblasts from mutSOD1, undSOD1 and healthy controls that can be used as therapeutic targets for ALS drug development.
ISSN:0014-2972
1365-2362
DOI:10.1111/eci.13798