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pmid: 17889033
Nuclear factor-kappaB activity was analyzed in multiple sclerosis (MS) patients during the course of a methylprednisolone pulse therapy. Molecular effects were evaluated using lymphocytes derived from 20 MS patients before and after therapy and 24 healthy individuals. All patients responded to treatment clinically. The mean level of DNA-binding p65 in MS was proportionate to that of healthy controls, but was significantly decreased directly after therapy whereas the level of DNA-binding p50 was significantly elevated prior to therapy and remained unchanged. In summary, pulse therapy resulted in a decreased level of activated p65 NF-kappaB subunits leading to decreased levels of transcriptionally active pro-inflammatory NF-kappaB.
Adult, Inflammation, Male, Transcriptional Activation, Multiple Sclerosis, NF-kappa B, Transcription Factor RelA, Down-Regulation, Middle Aged, Drug Administration Schedule, DNA-Binding Proteins, Treatment Outcome, Humans, Female, Lymphocytes, Glucocorticoids, Biomarkers, Immunosuppressive Agents, Aged
Adult, Inflammation, Male, Transcriptional Activation, Multiple Sclerosis, NF-kappa B, Transcription Factor RelA, Down-Regulation, Middle Aged, Drug Administration Schedule, DNA-Binding Proteins, Treatment Outcome, Humans, Female, Lymphocytes, Glucocorticoids, Biomarkers, Immunosuppressive Agents, Aged
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 30 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |