Publications by authors named "F C Loonstra"
Article Synopsis
- The study investigates the influence of genetic factors on the lifetime risk of multiple sclerosis (MS) using a population-based cohort from the Netherlands.
- Researchers tracked individuals with MS and control participants to calculate polygenic risk scores (PRS) based on genetic variants linked to MS.
- Results revealed that individuals in the highest genetic risk group had a significantly higher likelihood of developing MS compared to those in the lowest risk group, highlighting the strong impact of genetics on MS susceptibility.
Article Synopsis
- The study investigates how childhood and adult diets are linked to multiple sclerosis (MS) risk and progression.
- It involved 361 people with MS and 125 healthy controls, collecting data through questionnaires on their dietary habits at ages 10 and 50.
- Findings suggest a poorer diet in childhood is linked to developing MS and its type, while better fruit intake at age 50 correlates with reduced disability and lower MRI lesion volumes.
Background: The relationship between being overweight during early life and disease course in multiple sclerosis (MS) is unresolved. We investigated the association between being overweight or obese during early life (childhood and adolescence) and MS case status, age of first symptom onset and onset type in people with MS (pwMS) of the same birth year.
Methods: We enrolled 363 PwMS and 125 healthy controls (HC) from Project Y, a Dutch population-based cross-sectional cohort study including all PwMS born in 1966 and age and sex-matched HC.
Background And Objectives: Excessive activation of certain lipid mediator (LM) pathways plays a role in the complex pathogenesis of multiple sclerosis (MS). However, the relationship between bioactive LMs and different aspects of CNS-related pathophysiologic processes remains largely unknown. Therefore, in this study, we assessed the association of bioactive LMs belonging to the ω-3/ω-6 lipid classes with clinical and biochemical (serum neurofilament light [sNfL] and serum glial fibrillary acidic protein [sGFAP]) parameters and MRI-based brain volumes in patients with MS (PwMS) and healthy controls (HCs).
View Article and Find Full Text PDFBackground And Objectives: Although MRI-based markers of neuroinflammation have proven crucial for the diagnosis of multiple sclerosis (MS), predicting clinical progression with inflammation remains difficult. Neurodegenerative markers such as brain volume loss show stronger clinical (predictive) correlations, but also harbor age-related variation that must be disentangled from disease duration. In this study we investigated how clinical disability is related to volumetric MRI measures in a cohort of MS patients and healthy controls (HC) of the same age: Project Y.
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