IBRO neuroscience reports · 2026
Oxidative stress, depressive symptoms, disability, cognitive outcomes and hand dexterity in relapsing-remitting multiple sclerosis patients with mild/moderate disability.
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Mosaddeghi-Heris Reza, Taheri Niloofar, Talebi Mahnaz, Naseri Amirreza
Аннотация
BACKGROUND: This study aimed to comprehensively examine the interplay between demographic factors, peripheral oxidative stress markers, disability, depressive symptoms, cognitive outcomes, and hand dexterity in Relapsing-remitting Multiple sclerosis (RRMS) patients with mild/moderate disability.
METHODS: In this cross-sectional study, RRMS patients with Expanded Disability Status Scale (EDSS)≤ 3 underwent assessments of cognitive function (Symbol Digit Modalities Test [SDMT], Paced Auditory Serial Addition Test [PASAT-3]), depressive symptoms (Beck Depression Inventory-II [BDI-II]), hand dexterity (Nine-Hole Peg Test [9HPT]), and neurological disability (EDSS). Oxidative stress markers (malondialdehyde [MDA], total antioxidant capacity [TAC], superoxide dismutase [SOD], catalase activity [CAT], glutathione peroxidase [GPx], and reduced glutathione [GSH]) were also measured.
RESULTS: The studied cohort comprised 83 patients (77.1% females; mean age: 32.65 ± 8.05 years). In addition to negative association between the EDSS and cognitive outcomes in binary logistic regression analysis (SDMT: OR=0.95; p = 0.02; PASAT: OR=0.92; p = 0.01); neurological disability also correlated with cognitive scores in multivariable linear regression (SDMT: β=-0.23, p = 0.047; PASAT: β=-0.36, p = 0.002). Education also correlated with the cognitive outcomes (SDMT: β=0.29, p < 0.001; PASAT: β=0.27, p = 0.01). MDA was associated with abnormal cognitive function (SDMT≤44; OR: 2.98 (95%CI: 1.33, 6.66) but correlation between these outcomes was no longer significant in multivariable linear regression (β=-0.21; p = 0.051). Except for a marginal correlation between EDSS and MDA (β=0.21, p = 0.04) and between 9HPT-M and TAC (β=0.26, p = 0.01), there was no significant finding regarding the correlations between the clinical and laboratory outcomes.
CONCLUSION: Even in patients with mild/moderate disability, EDSS and education level were emerged as the strongest predictors of cognitive outcomes in RRMS.
METHODS: In this cross-sectional study, RRMS patients with Expanded Disability Status Scale (EDSS)≤ 3 underwent assessments of cognitive function (Symbol Digit Modalities Test [SDMT], Paced Auditory Serial Addition Test [PASAT-3]), depressive symptoms (Beck Depression Inventory-II [BDI-II]), hand dexterity (Nine-Hole Peg Test [9HPT]), and neurological disability (EDSS). Oxidative stress markers (malondialdehyde [MDA], total antioxidant capacity [TAC], superoxide dismutase [SOD], catalase activity [CAT], glutathione peroxidase [GPx], and reduced glutathione [GSH]) were also measured.
RESULTS: The studied cohort comprised 83 patients (77.1% females; mean age: 32.65 ± 8.05 years). In addition to negative association between the EDSS and cognitive outcomes in binary logistic regression analysis (SDMT: OR=0.95; p = 0.02; PASAT: OR=0.92; p = 0.01); neurological disability also correlated with cognitive scores in multivariable linear regression (SDMT: β=-0.23, p = 0.047; PASAT: β=-0.36, p = 0.002). Education also correlated with the cognitive outcomes (SDMT: β=0.29, p < 0.001; PASAT: β=0.27, p = 0.01). MDA was associated with abnormal cognitive function (SDMT≤44; OR: 2.98 (95%CI: 1.33, 6.66) but correlation between these outcomes was no longer significant in multivariable linear regression (β=-0.21; p = 0.051). Except for a marginal correlation between EDSS and MDA (β=0.21, p = 0.04) and between 9HPT-M and TAC (β=0.26, p = 0.01), there was no significant finding regarding the correlations between the clinical and laboratory outcomes.
CONCLUSION: Even in patients with mild/moderate disability, EDSS and education level were emerged as the strongest predictors of cognitive outcomes in RRMS.