Treating MS after surviving PML: Discrete strategies for rescue, remission, and recovery patient 1: From the National Multiple Sclerosis Society Case Conference Proceedings

A 38-year-old woman with MS receiving natalizumab presented to the neurology clinic with the complaint of a new neurologic symptom

Lineage pathway of human brain progenitor cells identified by JC virus susceptibility

Multipotential human central nervous system progenitor cells, isolated from human fetal brain tissue by selective growth conditions, were cultured as undifferentiated, attached cell layers. Selective differentiation yielded highly purified populations of neurons or astrocytes. This report describes the novel use of this cell culture model to study cell type-specific recognition of a human neurotropic virus, JC virus. Infection by either JC virions or a plasmid encoding the JC genome demonstrated susceptibility in astrocytes and, to a lesser degree, progenitor cells, whereas neurons remained nonpermissive. JC virus susceptibility correlated with significantly higher expression of the NFI-X transcription factor in astrocytes than in neurons. Furthermore, transfection of an NFI-X expression vector into progenitor-derived neuronal cells before infection resulted in viral protein production. These results indicate that susceptibility to JC virus infection occurs at the molecular level and also suggest that differential recognition of the viral promoter sequences can predict lineage pathways of multipotential progenitor cells in the human central nervous system. Neurol 2003;53:636 -646 The differentiation of central nervous system (CNS) stem and progenitor cells into neuronal and glial lineages is accompanied by the expression of specific intracellular molecules involved in the transcription of cell type-specific genes. The selective differentiation of human CNS progenitor cells into neural cell types provides a unique model to study the molecular regulation of cellular phenotypes as well as neurotropic viruses that target specific subpopulations of CNS cells. For example, the human polyomavirus, JC virus (JCV), demonstrates a restricted cellular host range and tropism in the CNS, targeting glial but not neuronal cells. Ann 1,2 Lytic infection of oligodendrocytes results in the fatal demyelinating disease, progressive multifocal leukoencephalopathy. 1,2 JCV infects astrocytes both in vivo and in vitro but does not infect neuronal cells, JCV is unique among most viruses in that viral binding and entry do not predict susceptibility to infection. 7 Therefore, it is hypothesized that the selective tropism of JCV is governed by molecular determinants, namely, nuclear transcription factors located within susceptible cells. The promoter-enhancer region of JCV contains multiple sites for the nuclear factor-1 (NFI) family of transcription factors, 8 -10 which includes four members, NFI-A, NFI-B, NFI-C, and NFI-X 11,12 (also known as NFI-D). NFI has been implicated in the transcriptional regulation of several CNS-specific cellular genes 12-17 and viral replication, 18 -21 including that of JCV. The human CNS multipotential progenitor cells, described in this study, were used as a unique in vitro model to study the molecular regulation of JCV infection and to examine the potential role of NFI transcription factors in initiating viral multiplication in specific subpopulations of CNS cell types. The data presented in this article are the first to our knowledge demonstrating JCV infection of a population of human CNS progenitor cells. These experiments indicate that susceptibility to infection depends not on viral binding and entry, but on intracellular factors. Notably, overexpression of one of the NFI class members, NFI-X, in the neuronal cells initiated JCV susceptibility. These data substantiate the importance of NFI-X recognition in the transcriptional regulation of JCV susceptibility From th

DNA-binding transcription factor NF-1A negatively regulates JC virus multiplication

JC virus (JCV) DNA replication occurs in the nuclei of infected cells. The level of JCV genome expression depends on nucleotide sequences in the viral regulatory region and their interaction with host-cell nuclear transcription factors. Our previous studies showed a higher level of NF-1X in JCV-permissive cells compared with the other members of the NF-1 family, NF-1A, B and C, which suggests that NF-1X plays a positive role in JCV multiplication. It remained unclear whether a reduction in the level of NF-1A, which is expressed abundantly in JCV-non-permissive cell types, leads to an increase in JCV multiplication. In this study, we show that downregulation of NF-1A expression in JCV-non-susceptible progenitor and HeLa cells results in a reversion to susceptibility for JCV multiplication. These data demonstrate that a higher level of NF-1A protein in JCV-non-permissive cell types, compared with the level of NF-1X, may be acting as a negative regulator at the JCV promoter to control JCV multiplication

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe