ArticleBiomolecules2025
The Association Between Myokines, Inflammation, and Nutritional Status in Patients with Multiple Sclerosis.
Article in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Review
- "Immunopause" no more: exercise to counter immunosenescence in aging.Immunity & ageing : I & A · 2025Review
- Nasogastric tube nutrition support enhances chemoradiotherapy compliance and alleviates mucosal reactions in nasopharyngeal carcinoma: a 856-case retrospective cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Observational
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecent studies indicate that in progressive multiple sclerosis (MS)-an inflammatory and degenerative disease of the central nervous system-the biological pathways associated with these effects remain poorly understood. Changes in body weight, whether presenting as overweight or underweight, as well as alterations in adipose and muscle tissue, together with chronic inflammation, may contribute to the disease and influence its course.
objectiveThis case-control study aimed to measure inflammatory markers and myokine levels (myostatin and irisin), brain-derived neurotrophic factor (BDNF), and IL-6 in the serum of patients with multiple sclerosis and healthy control and assess whether the myokines and cytokines are associated with nutritional status.
methodsThe study included 92 MS patients and 75 healthy volunteers. Nutritional status was assessed using the NRS (Nutritional Risk Screening) 2002 and GLIM (Global Leadership Initiative on Malnutrition) criteria. The risks of malnutrition or malnutrition were diagnosed based on ESPEN recommendations. Body composition analysis was performed using the BIA method with the InBody 120 analyzer. Routine laboratory parameters (albumin, lipidogram) were measured. Myostatin, irisin, BDNF, IL-6, and hsCRP were measured using ELISA methods. Statistical analysis was conducted using Statistica 13.0 software. Comparisons between the two groups were conducted using Student's
resultsIn the MS group, high risks of malnutrition (69.0%) and malnutrition (14.0%) were observed. A statistically significant correlation was found between malnutrition (GLIM) and s-albumin (R = 0.2;
conclusionsOur findings highlight the interplay between chronic inflammation, nutritional status, and myokines level in multiple sclerosis.
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