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Background Despite the overall success of TNFα inhibitors in rheumatoid arthritis (RA), up to half of patients are classified as either primary or secondary non-responders1. One hypothesis put forward to explain resistance to anti-TNFα therapy is an ascendant effect of dysregulated regulatory T cells and increased Th17 responses following TNFα blockade. Previous studies have demonstrated that TNFR2 is critical for stabilisation and suppressive function of regulatory T cells2,3. However, TNFR2 also activates pro-inflammatory signalling cascades and, to date, the net effect of TNFR2 on the pathogenesis of RA remains unclear. Objectives In this study we address this question by assessing the progression of collagen-induced arthritis (CIA) in mice deficient for TNFR1 or TNFR2. Methods C57Bl/6N.Q (H-2q) mice were immunised with bovine type II collagen emulsified in complete Freund’s adjuvant. The mice were monitored daily for arthritis and scored clinically from the day of onset of disease. Mice were culled on day 10 after arthritis onset and spleens, lymph nodes, serum and paws were collected for further analysis. Results As expected, TNFR1-/- mice were found to be largely resistant to arthritis both clinically and histologically (figure 1). In contrast, there was significantly enhanced disease activity at the clinical and histological levels in TNFR2-/- mice (figure 1) and this was accompanied by increased expression of the pro-inflammatory cytokines, TNFα and IL-6, reduced numbers of regulatory T cells, reduced FoxP3 expression and reduced expression of the immune inhibitory molecules, PD-1 and LAG3, in TNFR2-/- mice compared to WT mice. Conclusions This study has shown that TNFR2 signalling plays immunoregulatory and anti-inflammatory roles in CIA. First, it contributes to promotion of regulatory T cell generation and FoxP3 expression, and second, it limits the expression of pro-inflammatory cytokines. TNFR2 also regulates the expression immune inhibitory molecules during inflammation. The results support the rationale to for development of TNFR1 specific antagonists or TNFR2 agonists for the treatment of RA. References [1] Giulia Roda, et al. Loss of Response to Anti-TNFs: Definition, Epidemiology, and Management. Clinical and Translational Gastroenterology2016. [2] Xin Chen, et al. TNFR2 is critical for the stabilization of the CD4+Foxp3+ regulatory T cell phenotype in the inflammatory enviroment. J. Immunol2013. [3] Xin Chen et al. Expression of TNFR2 defines a maximally suppressive subset of mouse CD4 +CD25+FoxP3+T regulatory cells: applicability to tumour infiltrating T regulatory cells. J. Immunology 2008. Acknowledgements This work was supported by grants from Chang Gung Memorial Hospital and Ministry of Science and Technology (Taiwan) Disclosure of Interest None declared

Diffusion spectrum imaging was employed to establish structural connectivity between cerebro-cerebellar regions co-activated during verbal working memory. IFG, IPL, pons, thalamus, superior cerebellum and inferior cerebellum were used as seed points to reconstruct the white matter cerebro-cerebellar circuitry. The reconstructed pathways were examined further to establish the relationship between structural and effective connectivity as well as the relationship between structural connectivity and verbal working memory performance. It was found that structural connectivity is indirectly related to effective connectivity but does not predict it. Additionally, it was demonstrated that the integrity of the ponto-cerebellar tract is an important factor in explaining individual differences in verbal working memory. The findings of the study furthered our understanding of the relationship between structural and functional connectivity and provided insight to the variability in verbal working memory performance.

MRI tractography is the mapping of neural fiber pathways based on diffusion MRI of tissue diffusion anisotropy. Tractography based on diffusion tensor imaging (DTI) cannot directly image multiple fiber orientations within a single voxel. To address this limitation, diffusion spectrum MRI (DSI) and related methods were developed to image complex distributions of intravoxel fiber orientation. Here we demonstrate that tractography based on DSI has the capacity to image crossing fibers in neural tissue. DSI was performed in formalin- fixed brains of adult macaque and in the brains of healthy human subjects. Fiber tract solutions were constructed by a streamline procedure, following directions of maximum diffusion at every point, and analyzed in an interactive visualization environment (TrackVis). We report that DSI tractography accurately shows the known anatomic fiber crossings in optic chiasm, centrum semiovale, and brainstem; fiber intersections in gray matter, including cerebellar folia and the caudate nucleus; and radial fiber architecture in cerebral cortex. In contrast, none of these examples of fiber crossing and complex structure was identified by DTI analysis of the same data sets. These findings indicate that DSI tractography is able to image crossing fibers in neural tissue, an essential step toward non-invasive imaging of connectional neuroanatomy. (c) 2008 Published by Elsevier Inc.