CSF Markers of Oxidative Stress Are Associated with Brain Atrophy and Iron Accumulation in a 2-Year Longitudinal Cohort of Early MS.
Andrea BurgetováPetr DušekTomas UherManuela VaneckovaMartin VejrazkaRomana BurgetovaDana HorakovaBarbora SrpovaMarta KalousovaLibuse NoskovaKaterina LevovaJan KrasenskyLukas LambertPublished in: International journal of molecular sciences (2023)
In this prospective longitudinal study, we quantified regional brain volume and susceptibility changes during the first two years after the diagnosis of multiple sclerosis (MS) and identified their association with cerebrospinal fluid (CSF) markers at baseline. Seventy patients underwent MRI (T1 and susceptibility weighted images processed to quantitative susceptibility maps, QSM) with neurological examination at the diagnosis and after two years. In CSF obtained at baseline, the levels of oxidative stress, products of lipid peroxidation, and neurofilaments light chain (NfL) were determined. Brain volumetry and QSM were compared with a group of 58 healthy controls. In MS patients, regional atrophy was identified in the striatum, thalamus, and substantia nigra. Magnetic susceptibility increased in the striatum, globus pallidus, and dentate and decreased in the thalamus. Compared to controls, MS patients developed greater atrophy of the thalamus, and a greater increase in susceptibility in the caudate, putamen, globus pallidus and a decrease in the thalamus. Of the multiple calculated correlations, only the decrease in brain parenchymal fraction, total white matter, and thalamic volume in MS patients negatively correlated with increased NfL in CSF. Additionally, negative correlation was found between QSM value in the substantia nigra and peroxiredoxin-2, and QSM value in the dentate and lipid peroxidation levels.
Keyphrases
- multiple sclerosis
- white matter
- end stage renal disease
- oxidative stress
- deep brain stimulation
- newly diagnosed
- mass spectrometry
- ejection fraction
- chronic kidney disease
- prognostic factors
- cerebrospinal fluid
- magnetic resonance imaging
- dna damage
- resting state
- machine learning
- magnetic resonance
- deep learning
- subarachnoid hemorrhage
- heat shock