<b>Background</b><br /> The psychological perspective plays a crucial role in designing therapy for people suffering from multiple sclerosis. The aim of the article is to distinguish different psychological profiles of patients.<br /> <br /> <b>Participants and procedure</b><br /> The study was conducted using the paper-and-pencil method on 77 patients suffering from multiple sclerosis. The theory we applied was Hobfoll’s conservation of resources theory. We also analyzed the impact of personal and situational variables on the functioning of patients with different kinds of resources.<br /> <br /> <br /> <b>Results</b><br /> Cluster analysis was used to construct the profiles of patients. Based on statistical analyses using the k-means method, we distinguished: Profile 1, with a prevalence of resource losses (n = 30), Profile 2, covering people who value their resources the most (n = 25), and Profile 3, with a prevalence of resource gains (n = 18).<br /> <br /> <b>Conclusions</b><br /> The obtained psychological profiles reflect the varied dynamics of the patients’ functioning and should inspire an improvement of multidisciplinary rehabilitation.

In this paper, we describe two independent isolates of a new member of the subfamily Autographivirinae, Pseudomonas phage KNP. The type strain (KNP) has a linear, 40,491-bp-long genome with GC content of 57.3%, and 50 coding DNA sequences (CDSs). The genome of the second strain (WRT) contains one CDS less, encodes a significantly different tail fiber protein and is shorter (40,214 bp; GC content, 57.4%). Phylogenetic analysis indicates that both KNP and WRT belong to the genus T7virus. Together with genetically similar Pseudomonas phages (gh-1, phiPSA2, phiPsa17, PPPL-1, shl2, phi15, PPpW-4, UNO-SLW4, phiIBB-PF7A, Pf-10, and Phi-S1), they form a divergent yet coherent group that stands apart from the T7-like viruses (sensu lato). Analysis of the diversity of this group and its relatedness to other members of the subfamily Autographivirinae led us to the conclusion that this group might be considered as a candidate for a new genus.Electronic supplementary materialThe online version of this article (doi:10.1007/s00705-017-3419-9) contains supplementary material, which is available to authorized users.

Aim. The aim of this study was to assess degenerative lesion localisation in the course of relapsing-remitting multiple sclerosis (RRMS) and to identify the association between localisation and the frequency of T1-hypointense lesions (black holes) with cognitive dysfunction. We also searched for neuroradiological predictors of cognitive dysfunction in patients. The clinical rationale for the study was previous research, and our own findings suggest that lesion localisation plays an important role in cognitive performance and neurological disability of MS patients. Material and methods. Forty-two patients were included in the study. All subjects underwent neuropsychological examination using Raven's Coloured Progressive Matrices, a naming task from the Brief Repeatable Battery of Neuropsychological Tests, and attention to detail tests. Magnetic resonance imaging (MRI) was acquired on 1.5 Tesla scanner and black holes were manually segmented on T1-weighted volumetric images using the FMRIB Software Library. Linear regression was applied to establish a relationship between black hole volume per lobe and cognitive parameters. Bonferroni correction of voxelwise analysis was used to correct for multiple comparisons. Results. The following associations between black hole volume and cognition were identified: frontal lobes black hole volume was associated with phonemic verbal fluency (t =-4.013, p < 0.001), parietal black hole volume was associated with attention (t =-3.776, p < 0.001), and parietal and temporal black hole volumes were associated with nonverbal intelligence (p < 0.001). The volume of parietal black holes was the best predictor of cognitive dysfunction. Conclusions. Our approach, including measurement of focal axonal loss based on T1-volumetric MRI sequence and brief neuropsychological assessment, might improve personalised diagnostic and therapeutic decisions in clinical practice.

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