Nature Communications · 2021 · 61 citations · 32 references
Life SciencesImmunologyNeurologyAutoimmunityInnate ImmunityNeuroimmunologyDemyelinating DiseasesDemyelinating DisordersMultiple SclerosisNatural Killer Cell BiologyNatural Killer Cell FunctionNatural Killer Cell RegulationAutoimmune DemyelinationClinical Outcome MeasurementDisease Course PredictionImmunological MechanismsInflammatory DemyelinationMultiple Sclerosis ImmunopathogenesisRelapsing Demyelinating DiseaseRelapsing Disease Course
Abstract Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system (CNS) with the majority of cases characterised by relapsing/remitting (RRMS) attacks of neurologic dysfunction followed by variable resolution. Improving clinical outcomes in RRMS requires both a better understanding of the immunological mechanisms driving recurrent demyelination and better means of predicting future disease course to facilitate early targeted therapy. Here, we apply hypothesis-generating network transcriptomics to CD8 + cells isolated from patients in RRMS, identifying a signature reflecting expansion of a subset of CD8 + natural killer cells (NK8 + ) associated with favourable outcome. NK8 + are capable of regulating CD4 + T cell activation and proliferation in vitro, with reduced expression of HLA-G binding inhibitory receptors and consequent reduced sensitivity to HLA-G-mediated suppression. We identify surrogate markers of the NK8 + signature in peripheral blood leucocytes and validate their association with clinical outcome in an independent cohort, suggesting their measurement may facilitate early, targeted therapy in RRMS.
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Leo Breiman · Machine Learning · 2001 · 126.2K citations · Full text
Emergence of Scaling in Random Networks
Albert-Ĺaszló Barabási, Réka Albert · Science · 1999 · 36.4K citations · Full text
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Peter Langfelder, Steve Horvath · BMC Bioinformatics · 2008 · 29.1K citations · Full text