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Åkesson, Julia; Hojjati, Sara; Hellberg, Sandra; Raffetseder, Johanna; Khademi, Mohsen; Rynkowski, Robert; Kockum, Ingrid; Altafini, Claudio; Lubovac-Pilav, Zelmina; Mellergård, Johan; Jenmalm, Maria C; Piehl, Fredrik; Olsson, Tomas; Ernerudh, Jan; Gustafsson, Mika
Nature communications, 2023, Letnik: 14, Številka: 1Journal Article
Abstract Sensitive and reliable protein biomarkers are needed to predict disease trajectory and personalize treatment strategies for multiple sclerosis (MS). Here, we use the highly sensitive proximity-extension assay combined with next-generation sequencing (Olink Explore) to quantify 1463 proteins in cerebrospinal fluid (CSF) and plasma from 143 people with early-stage MS and 43 healthy controls. With longitudinally followed discovery and replication cohorts, we identify CSF proteins that consistently predicted both short- and long-term disease progression. Lower levels of neurofilament light chain (NfL) in CSF is superior in predicting the absence of disease activity two years after sampling (replication AUC = 0.77) compared to all other tested proteins. Importantly, we also identify a combination of 11 CSF proteins (CXCL13, LTA, FCN2, ICAM3, LY9, SLAMF7, TYMP, CHI3L1, FYB1, TNFRSF1B and NfL) that predict the severity of disability worsening according to the normalized age-related MS severity score (replication AUC = 0.90). The identification of these proteins may help elucidate pathogenetic processes and might aid decisions on treatment strategies for persons with MS.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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in: SICRIS
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