T cell responses at diagnosis of amyotrophic lateral sclerosis predict disease progression

被引:0
|
作者
Solmaz Yazdani
Christina Seitz
Can Cui
Anikó Lovik
Lu Pan
Fredrik Piehl
Yudi Pawitan
Ulf Kläppe
Rayomand Press
Kristin Samuelsson
Li Yin
Trung Nghia Vu
Anne-Laure Joly
Lisa S. Westerberg
Björn Evertsson
Caroline Ingre
John Andersson
Fang Fang
机构
[1] Karolinska Institutet,Institute of Environmental Medicine
[2] Karolinska Institutet,Department of Medical Epidemiology and Biostatistics
[3] Karolinska Institutet,Department of Clinical Neuroscience
[4] Karolinska University Hospital,Neurology clinic
[5] Karolinska Institutet,Department of Microbiology, Tumor, and Cell Biology
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease, involving neuroinflammation and T cell infiltration in the central nervous system. However, the contribution of T cell responses to the pathology of the disease is not fully understood. Here we show, by flow cytometric analysis of blood and cerebrospinal fluid (CSF) samples of a cohort of 89 newly diagnosed ALS patients in Stockholm, Sweden, that T cell phenotypes at the time of diagnosis are good predictors of disease outcome. High frequency of CD4+FOXP3− effector T cells in blood and CSF is associated with poor survival, whereas high frequency of activated regulatory T (Treg) cells and high ratio between activated and resting Treg cells in blood are associated with better survival. Besides survival, phenotypic profiling of T cells could also predict disease progression rate. Single cell transcriptomics analysis of CSF samples shows clonally expanded CD4+ and CD8+ T cells in CSF, with characteristic gene expression patterns. In summary, T cell responses associate with and likely contribute to disease progression in ALS, supporting modulation of adaptive immunity as a viable therapeutic option.
引用
收藏
相关论文
共 50 条
  • [1] T cell responses at diagnosis of amyotrophic lateral sclerosis predict disease progression
    Yazdani, Solmaz
    Seitz, Christina
    Cui, Can
    Lovik, Aniko
    Pan, Lu
    Piehl, Fredrik
    Pawitan, Yudi
    Klappe, Ulf
    Press, Rayomand
    Samuelsson, Kristin
    Yin, Li
    Vu, Trung Nghia
    Joly, Anne-Laure
    Westerberg, Lisa S.
    Evertsson, Bjorn
    Ingre, Caroline
    Andersson, John
    Fang, Fang
    [J]. NATURE COMMUNICATIONS, 2022, 13 (01)
  • [2] Amyotrophic lateral sclerosis biomarkers may predict disease progression
    Su, X. W.
    Simmons, Z.
    Mitchell, R. M.
    Kong, L.
    Stephens, H. E.
    Connor, J. R.
    [J]. NEURODEGENERATIVE DISEASE MANAGEMENT, 2014, 4 (01) : 6 - 6
  • [3] Deep learning methods to predict amyotrophic lateral sclerosis disease progression
    Pancotti, Corrado
    Birolo, Giovanni
    Rollo, Cesare
    Sanavia, Tiziana
    Di Camillo, Barbara
    Manera, Umberto
    Chio, Adriano
    Fariselli, Piero
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [4] Deep learning methods to predict amyotrophic lateral sclerosis disease progression
    Corrado Pancotti
    Giovanni Birolo
    Cesare Rollo
    Tiziana Sanavia
    Barbara Di Camillo
    Umberto Manera
    Adriano Chiò
    Piero Fariselli
    [J]. Scientific Reports, 12
  • [5] Coping with amyotrophic lateral sclerosis; from diagnosis and during disease progression
    Larsson, Birgitta Jakobsson
    Nordin, Karin
    Nygren, Ingela
    [J]. JOURNAL OF THE NEUROLOGICAL SCIENCES, 2016, 361 : 235 - 242
  • [6] Linear estimates of disease progression predict survival in patients with amyotrophic lateral sclerosis
    Armon, C
    Graves, MC
    Moses, D
    Forté, DK
    Sepulveda, L
    Darby, SM
    Smith, RA
    [J]. MUSCLE & NERVE, 2000, 23 (06) : 874 - 882
  • [7] Amyotrophic Lateral Sclerosis: A Focus on Disease Progression
    Calvo, Ana C.
    Manzano, Raquel
    Mendonca, Deise M. F.
    Munoz, Maria J.
    Zaragoza, Pilar
    Osta, Rosario
    [J]. BIOMED RESEARCH INTERNATIONAL, 2014, 2014
  • [8] Predictability of disease progression in amyotrophic lateral sclerosis
    Czaplinski, A.
    Yen, A.
    Simpson, E. P.
    Appel, S. H.
    [J]. JOURNAL OF NEUROLOGY, 2006, 253 : 30 - 30
  • [9] Amyotrophic lateral sclerosis disease progression model
    Gomeni, Roberto
    Fava, Maurizio
    [J]. AMYOTROPHIC LATERAL SCLEROSIS AND FRONTOTEMPORAL DEGENERATION, 2014, 15 (1-2) : 119 - 129
  • [10] Predicting disease progression in amyotrophic lateral sclerosis
    Taylor, Albert A.
    Fournier, Christina
    Polak, Meraida
    Wang, Liuxia
    Zach, Neta
    Keymer, Mike
    Glass, Jonathan D.
    Ennist, David L.
    [J]. ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY, 2016, 3 (11): : 866 - 875