22 research outputs found

    Impaired recognition and regulation of disgust is associated with distinct but partially overlapping patterns of decreased gray matter volume in the ventroanterior insula

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    Background The ventroanterior insula is implicated in the experience, expression, and recognition of disgust; however, whether this brain region is required for recognizing disgust or regulating disgusting behaviors remains unknown. Methods We examined the brain correlates of the presence of disgusting behavior and impaired recognition of disgust using voxel-based morphometry in a sample of 305 patients with heterogeneous patterns of neurodegeneration. Permutation-based analyses were used to determine regions of decreased gray matter volume at a significance level p <=.05 corrected for family-wise error across the whole brain and within the insula. Results Patients with behavioral variant frontotemporal dementia and semantic variant primary progressive aphasia were most likely to exhibit disgusting behaviors and were, on average, the most impaired at recognizing disgust in others. Imaging analysis revealed that patients who exhibited disgusting behaviors had significantly less gray matter volume bilaterally in the ventral anterior insula. A region of interest analysis restricted to behavioral variant frontotemporal dementia and semantic variant primary progressive aphasia patients alone confirmed this result. Moreover, impaired recognition of disgust was associated with decreased gray matter volume in the bilateral ventroanterior and ventral middle regions of the insula. There was an area of overlap in the bilateral anterior insula where decreased gray matter volume was associated with both the presence of disgusting behavior and impairments in recognizing disgust. Conclusions These findings suggest that regulating disgusting behaviors and recognizing disgust in others involve two partially overlapping neural systems within the insula. Moreover, the ventral anterior insula is required for both processes

    Proteome sequence features carry signatures of the environmental niche of prokaryotes

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    <p>Abstract</p> <p>Background</p> <p>Prokaryotic environmental adaptations occur at different levels within cells to ensure the preservation of genome integrity, proper protein folding and function as well as membrane fluidity. Although specific composition and structure of cellular components suitable for the variety of extreme conditions has already been postulated, a systematic study describing such adaptations has not yet been performed. We therefore explored whether the environmental niche of a prokaryote could be deduced from the sequence of its proteome. Finally, we aimed at finding the precise differences between proteome sequences of prokaryotes from different environments.</p> <p>Results</p> <p>We analyzed the proteomes of 192 prokaryotes from different habitats. We collected detailed information about the optimal growth conditions of each microorganism. Furthermore, we selected 42 physico-chemical properties of amino acids and computed their values for each proteome. Further, on the same set of features we applied two fundamentally different machine learning methods, Support Vector Machines and Random Forests, to successfully classify between bacteria and archaea, halophiles and non-halophiles, as well as mesophiles, thermophiles and mesothermophiles. Finally, we performed feature selection by using Random Forests.</p> <p>Conclusions</p> <p>To our knowledge, this is the first time that three different classification cases (domain of life, halophilicity and thermophilicity) of proteome adaptation are successfully performed with the same set of 42 features. The characteristic features of a specific adaptation constitute a signature that may help understanding the mechanisms of adaptation to extreme environments.</p

    Inappropriate left ventricular mass after preeclampsia: another piece of the puzzle Inappropriate LVM and PE

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    Excessive left ventricular (LV) mass (LVM) increase results in inefficient LV work with high energy waste and a negative prognostic effect. We aimed to investigate the presence of inappropriate LVM and to calculate the myocardial mechanoenergetic efficiency index (MEEi) in asymptomatic women with a history of early-onset (EO) or late-onset (LO) pre-eclampsia (PE). Among all women diagnosed with PE in the years 2009-2013, after applying inclusion/exclusion criteria and cost-effectiveness analysis, we randomly selected thirty women who experienced EO-PE, thirty with a previous LO-PE and thirty healthy controls to undergo echocardiography from 6 months to 4 years after delivery. Data regarding gestational age (GA) and mean uterine artery (UtA) pulsatility index (PI) at PE onset were collected from medical records. All women were free from cardiovascular risk factors. LVM excess was calculated as the ratio between observed LVM and predicted LVM (by sex, stroke work and height), while MEEi was calculated as the ratio between stroke work and “double product” (to approximate energy consumption), indexed to LVM. Concentric remodeling was present in 60% of EO-PE and 53% of LO-PE. LVM excess was significantly more often present in the EO-PE group than in the control group. LVM was inappropriate in 52% of EO-PE and 17% of LO-PE. MEEi showed a tendency towards lower values in the EO-PE group. Multivariate regression analysis showed that both LVM excess and MEEi were independently associated with lower GA and higher mean UtA PI at PE onset. Inappropriate LVM with a tendency towards reduced MEEi in the first 4 years after delivery may partially explain the elevated cardiovascular risk in former pre-eclamptic women compared to the general population
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