The impact of viral mutations on recognition by SARS-CoV-2 specific T cells.

We identify amino acid variants within dominant SARS-CoV-2 T cell epitopes by interrogating global sequence data. Several variants within nucleocapsid and ORF3a epitopes have arisen independently in multiple lineages and result in loss of recognition by epitope-specific T cells assessed by IFN-γ and cytotoxic killing assays. Complete loss of T cell responsiveness was seen due to Q213K in the A∗01:01-restricted CD8+ ORF3a epitope FTSDYYQLY207-215; due to P13L, P13S, and P13T in the B∗27:05-restricted CD8+ nucleocapsid epitope QRNAPRITF9-17; and due to T362I and P365S in the A∗03:01/A∗11:01-restricted CD8+ nucleocapsid epitope KTFPPTEPK361-369. CD8+ T cell lines unable to recognize variant epitopes have diverse T cell receptor repertoires. These data demonstrate the potential for T cell evasion and highlight the need for ongoing surveillance for variants capable of escaping T cell as well as humoral immunity.This work is supported by the UK Medical Research Council (MRC); Chinese Academy of Medical Sciences(CAMS) Innovation Fund for Medical Sciences (CIFMS), China; National Institute for Health Research (NIHR)Oxford Biomedical Research Centre, and UK Researchand Innovation (UKRI)/NIHR through the UK Coro-navirus Immunology Consortium (UK-CIC). Sequencing of SARS-CoV-2 samples and collation of data wasundertaken by the COG-UK CONSORTIUM. COG-UK is supported by funding from the Medical ResearchCouncil (MRC) part of UK Research & Innovation (UKRI),the National Institute of Health Research (NIHR),and Genome Research Limited, operating as the Wellcome Sanger Institute. T.I.d.S. is supported by a Well-come Trust Intermediate Clinical Fellowship (110058/Z/15/Z). L.T. is supported by the Wellcome Trust(grant number 205228/Z/16/Z) and by theUniversity of Liverpool Centre for Excellence in Infectious DiseaseResearch (CEIDR). S.D. is funded by an NIHR GlobalResearch Professorship (NIHR300791). L.T. and S.C.M.are also supported by the U.S. Food and Drug Administration Medical Countermeasures Initiative contract75F40120C00085 and the National Institute for Health Research Health Protection Research Unit (HPRU) inEmerging and Zoonotic Infections (NIHR200907) at University of Liverpool inpartnership with Public HealthEngland (PHE), in collaboration with Liverpool School of Tropical Medicine and the University of Oxford.L.T. is based at the University of Liverpool. M.D.P. is funded by the NIHR Sheffield Biomedical ResearchCentre (BRC – IS-BRC-1215-20017). ISARIC4C is supported by the MRC (grant no MC_PC_19059). J.C.K.is a Wellcome Investigator (WT204969/Z/16/Z) and supported by NIHR Oxford Biomedical Research Centreand CIFMS. The views expressed are those of the authors and not necessarily those of the NIHR or MRC

Cognitive inflexibility in obsessive-compulsive disorder and major depression is associated with distinct neural correlates

Contains fulltext : 118166.pdf (publisher's version ) (Open Access)Obsessive-compulsive disorder (OCD) and major depressive disorder (MDD) are frequently co-morbid, and dysfunctional frontal-striatal circuits have been implicated in both disorders. Neurobiological distinctions between OCD and MDD are insufficiently clear, and comparative neuroimaging studies are extremely scarce. OCD and MDD may be characterized by cognitive rigidity at the phenotype level, and frontal-striatal brain circuits constitute the neural substrate of intact cognitive flexibility. In the present study, 18 non-medicated MDD-free patients with OCD, 19 non-medicated OCD-free patients with MDD, and 29 matched healthy controls underwent functional magnetic resonance imaging during performance of a self-paced letter/digit task switching paradigm. Results showed that both patient groups responded slower relative to controls during repeat events, but only in OCD patients slowing was associated with decreased error rates. During switching, patients with OCD showed increased activation of the putamen, anterior cingulate and insula, whereas MDD patients recruited inferior parietal cortex and precuneus to a lesser extent. Patients with OCD and MDD commonly failed to reveal anterior prefrontal cortex activation during switching. This study shows subtle behavioral abnormalities on a measure of cognitive flexibility in MDD and OCD, associated with differential frontal-striatal brain dysfunction in both disorders. These findings may add to the development of biological markers that more precisely characterize frequently co-morbid neuropsychiatric disorders such as OCD and MDD

Efficacy and toxicity of whole brain radiotherapy in patients with multiple cerebral metastases from malignant melanoma

<p>Abstract</p> <p>Background</p> <p>To retrospectively access outcome and toxicity of whole brain radiotherapy (WBRT) in patients with multiple brain metastases (BM) from malignant melanoma (MM).</p> <p>Patients and methods</p> <p>Results of 87 patients (median age 58 years; 35 female, 52 male) treated by WBRT for BM of MM between 2000 and 2011 were reviewed. Total dose applied was either 30 Gy in 10 fractions (n = 56) or 40 Gy in 20 fractions (n = 31). All but 9 patients suffered from extra-cerebral metastases. Prior surgical resection of BM was performed in 18 patients, salvage stereotactic radiosurgery in 13 patients.</p> <p>Results</p> <p>Mean follow-up was 8 months (range, 0–57 months), the 6- and 12-months overall-(OS) survival rates were 29.2% and 16.5%, respectively. The median OS was 3.5 months. In cerebral follow-up imaging 6 (11) patients showed a complete (partial) remission, while 11 (17) patients had stable disease (intra-cerebral tumor progression). In comparison of total dose, the group treated with 40 Gy in 20 fractions achieved a significant longer OS (p = 0.003, median 3.1 vs. 5.6 months). Furthermore, DS-GPA score (p < 0.001) as well as RPA class (p < 0.001) influenced significantly on OS and patients had a significantly longer OS after surgical resection (p = 0.001, median 3.0 vs. 5.8 months, multivariate p = 0.007). Having extra-cerebral metastases didn't significantly impact on OS (p = 0.21).</p> <p>Conclusion</p> <p>Treatment of BM from MM with WBRT is tolerated well and some remissions of BM could be achieved. An advantage for higher treatment total doses was seen. However, outcome is non-satisfying, and further improvements in treatment of BM from MM are warranted.</p

The econometrics of monetary policy: an overview

This chapter concentrates on the Econometrics of Monetary Policy. We describe the evolution of models estimated to evaluate the macroeconomic impact of monetary policy. We argue that the main challenge for the econometrics of monetary policy is the combination of theoretical models and information from the data to construct empirical models. The failure of the large econometrics models at the beginning of the 1970s might be explained by their incapability of taking proper account of both these aspects. The great critiques by Lucas and Sims have generated an alternative approach which, at least initially, has been almost entirely dominated by theory. The LSE approach has instead concentrated on the properties of the statistical models and on the best way of incorporating information from the data into the empirical models, paying little attention to the economic foundation of the adopted specification. The realization that the solution of a DSGE model can be approximated by a restricted VAR, which is also a statistical model, has generated a potential link between the two approaches. The open question is which type of VARs are most appropriate for the econometric analysis of monetary policy. JEL Classification: C10, C52, E50 Keywords:Econometrics, Monetary Policy, identification, DSGE, VAR, FAVA