A Spanish and French research team developed a decision-tree based on results of analysis of biomarkers in the serum and cerebrospinal fluid (CSF) of MS patients. Lidia Fernandez-Paredes, MD (left), and Silvia Sanchez-Ramon, MD (right), both in the department of clinical immunology at Hospital Clinico San Carlos in Madrid, Spain, co-led the research team.
This lack of biomarkers often resulted in a delay in MS diagnosis and treatment while clinicians waited for a relapse to occur or for results of sequential neuroimaging studies to confirm the presence of disseminated lesions in the central nervous system. This study was conducted to provide clinicians with a means of diagnosing MS by using specific biomarkers.
In the current study, the team determined which biomarkers in this panel could be most useful in diagnosing MS in the early phases of the disease as well as in predicting its course. To do this, they collected serum and CSF samples from 89 patients who were recently diagnosed with MS, 97 patients with other neurological diseases (59 non-inflammatory and 38 inflammatory), and 46 age-matched, healthy controls.
After analyzing levels of biomarkers in the samples, the team concluded that serum levels of interleukin-7 (IL-7) and C-X-C motif chemokine ligand 10 (CXCL10) appeared to provide the most accurate means of identifying large differences in disease risk. A serum IL-7 level <141 pg/mL identified patients with MS at onset (odds ratio (OR), 6.5; P < 0.001), and those who also had a CXCL10 level <570 pg/mL were at greatest risk of having the primary progressive form of MS (OR, 22; P = 0.01).
“We started this work years ago in close collaboration with Matthew Albert at the Pasteur Institute in Paris,” Sanchez-Ramon told MD Magazine. “This work is the continuation. Validating these markers at the beginning of clinical manifestations could be especially useful for making therapeutic decisions.”
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