Amino Acid Metabolism in Multiple Sclerosis: Analyzing Plasma and Cerebrospinal Fluid Profiles for Biomarker Discovery and Pathophysiological Insights


Kanat S., çiğdem b., Gökçe Ş. F., Yavuz H., DOĞAN H. O.

Cumhuriyet Science Journal, cilt.47, sa.1, ss.44-54, 2026 (TRDizin) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 47 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.17776/csj.1790961
  • Dergi Adı: Cumhuriyet Science Journal
  • Derginin Tarandığı İndeksler: TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.44-54
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

Multiple sclerosis (MS) is a neuroinflammatory disease associated with involving metabolic disruptions. Although amino acid metabolism is linked to MS pathophysiology, its role remains unclear. This study investigates alterations in amino acid profiles to identify potential biomarkers for MS. Plasma and cerebrospinal fluid (CSF) samples were collected from MS patients and individuals with pseudotumor cerebri (PTC) as controls. Amino acid concentrations were measured using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Compared to controls, MS patients exhibited lower plasma tyrosine levels and higher CSF hydroxylysine and ornithine levels. CSF 3-aminoisobutyric acid and valine correlated positively with lymphocyte/monocyte counts, while CSF β-alanine exhibited inverse correlations. Additionally, CSF β-alanine, homocitrulline, and citrulline were associated with CSF protein levels. Expanded Disability Status Scale (EDSS) scores were associated with plasma isoleucine, methionine, citrulline, and threonine—no CSF amino acids correlated with EDSS. Pathway analysis identified significant disruptions in phenylalanine-tyrosine-tryptophan biosynthesis, arginine biosynthesis, and ubiquinone pathway. Altered amino acid metabolism plays a critical role in MS pathogenesis. The observed correlations between immune cell counts and specific amino acids highlight their involvement in immune activation and neuroinflammation, suggesting that targeting specific molecular networks may offer therapeutic potential