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Inflammatory and neurodegenerative serum protein biomarkers increase sensitivity to detect clinical and radiographic disease activity in multiple sclerosis

Author

Listed:
  • Tanuja Chitnis

    (Brigham and Women’s Hospital)

  • Ferhan Qureshi

    (Inc)

  • Victor M. Gehman

    (Inc)

  • Michael Becich

    (Inc)

  • Riley Bove

    (Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco)

  • Bruce A. C. Cree

    (Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco)

  • Refujia Gomez

    (Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco)

  • Stephen L. Hauser

    (Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco)

  • Roland G. Henry

    (Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco)

  • Amal Katrib

    (Inc)

  • Hrishikesh Lokhande

    (Brigham and Women’s Hospital)

  • Anu Paul

    (Brigham and Women’s Hospital)

  • Stacy J. Caillier

    (Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco)

  • Adam Santaniello

    (Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco)

  • Neda Sattarnezhad

    (Brigham and Women’s Hospital)

  • Shrishti Saxena

    (Brigham and Women’s Hospital)

  • Howard Weiner

    (Brigham and Women’s Hospital)

  • Hajime Yano

    (Brigham and Women’s Hospital)

  • Sergio E. Baranzini

    (Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco)

Abstract

The multifaceted nature of multiple sclerosis requires quantitative biomarkers that can provide insights related to diverse physiological pathways. To this end, proteomic analysis of deeply-phenotyped serum samples, biological pathway modeling, and network analysis were performed to elucidate inflammatory and neurodegenerative processes, identifying sensitive biomarkers of multiple sclerosis disease activity. Here, we evaluated the concentrations of > 1400 serum proteins in 630 samples from three multiple sclerosis cohorts for association with clinical and radiographic new disease activity. Twenty proteins were associated with increased clinical and radiographic multiple sclerosis disease activity for inclusion in a custom assay panel. Serum neurofilament light chain showed the strongest univariate correlation with gadolinium lesion activity, clinical relapse status, and annualized relapse rate. Multivariate modeling outperformed univariate for all endpoints. A comprehensive biomarker panel including the twenty proteins identified in this study could serve to characterize disease activity for a patient with multiple sclerosis.

Suggested Citation

  • Tanuja Chitnis & Ferhan Qureshi & Victor M. Gehman & Michael Becich & Riley Bove & Bruce A. C. Cree & Refujia Gomez & Stephen L. Hauser & Roland G. Henry & Amal Katrib & Hrishikesh Lokhande & Anu Paul, 2024. "Inflammatory and neurodegenerative serum protein biomarkers increase sensitivity to detect clinical and radiographic disease activity in multiple sclerosis," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48602-9
    DOI: 10.1038/s41467-024-48602-9
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