12 research outputs found

    Assessment of family needs in children with physical disabilities: development of a family needs inventory

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    Background: Valid tools to assess family needs for children with physical disabilities are needed to help tune paediatric rehabilitation care processes to individual needs of these families. To create such a family needs inventory, needs of families of children with a physical disability (age 0-18 years) were identified. We examined differences in the number and type of needs listed by families when asked for by means of an interview compared with using an inventory. Methods: Forty-nine families of children with a wide variety of physical disabilities (mean age 7.7 years; SD 4.6) participated in semi-structured interviews, focusing on family needs. They also checked an inventory of 99 items (based on a previously conducted literature review), regarding their family needs. In addition, individual interviews with healthcare professionals, and panel meetings with healthcare professionals and parents were held to further identify relevant family needs for the inventory. Results: The individual parent and healthcare professional interviews raised 41 needs that were not included in the original inventory of 99 items. Moreover, the panel meetings raised a further 49 needs. After restructuring and reformulating several items, a 187-item Family Needs Inventory - Paediatric Rehabilitation (FNI-PR) was created. The parent interviews revealed significantly less family needs (mean number of needs = 10.8; SD = 6.0) compared with using the inventory (mean number of needs = 31.7; SD = 19.7) (P < 0.0001). Most expressed family needs were related to both general and specific information concerning the child's development and treatment, aids and information about legislation and to rules relating to compensation of costs. Conclusion: Based on responses of parents and healthcare professionals the FNI-PR has been developed, a comprehensive inventory for family needs that can be used in paediatric rehabilitation. An inventory checked by parents resulted in more family needs than a single open-ended question. The inventory may facilitate the implementation of family-centred care

    Transforming growth factor-β and inflammation in vascular (type IV) Ehlers-Danlos syndrome.

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    BACKGROUND Vascular Ehlers-Danlos syndrome (VEDS) causes reduced life expectancy because of arterial dissections/rupture and hollow organ rupture. Although the causative gene, COL3A1, was identified >20 years ago, there has been limited progress in understanding the disease mechanisms or identifying treatments. METHODS AND RESULTS We studied inflammatory and transforming growth factor-β (TGF-β) signaling biomarkers in plasma and from dermal fibroblasts from patients with VEDS. Analyses were done in terms of clinical disease severity, genotype-phenotype correlations, and body composition and fat deposition alterations. VEDS subjects had increased circulating TGF-β1, TGF-β2, monocyte chemotactic protein-1, C-reactive protein, intercellular adhesion molecule-1, vascular cell adhesion molecule-1, and leptin and decreased interleukin-8 versus controls. VEDS dermal fibroblasts secreted more TGF-β2, whereas downstream canonical/noncanonical TGF-β signaling was not different. Patients with COL3A1 exon skipping mutations had higher plasma intercellular adhesion molecule-1 and vascular cell adhesion molecule-1, and VEDS probands had abnormally high plasma C-reactive protein versus affected patients identified through family members before any disease manifestations. Patients with VEDS had higher mean platelet volumes, suggesting increased platelet turnover because of ongoing vascular damage, as well as increased regional truncal adiposity. CONCLUSIONS These findings suggest that VEDS is a systemic disease with a major inflammatory component. C-reactive protein is linked to disease state and may be a disease activity marker. No changes in downstream TGF-β signaling and increased platelet turnover suggest that chronic vascular damage may partially explain increased plasma TGF-β1. Finally, we found a novel role for dysregulated TGF-β2, as well as adipocyte dysfunction, as demonstrated through reduced interleukin-8 and elevated leptin in VEDS

    Transforming growth factor-β and inflammation in vascular (type IV) Ehlers-Danlos syndrome.

    No full text
    BACKGROUND Vascular Ehlers-Danlos syndrome (VEDS) causes reduced life expectancy because of arterial dissections/rupture and hollow organ rupture. Although the causative gene, COL3A1, was identified >20 years ago, there has been limited progress in understanding the disease mechanisms or identifying treatments. METHODS AND RESULTS We studied inflammatory and transforming growth factor-β (TGF-β) signaling biomarkers in plasma and from dermal fibroblasts from patients with VEDS. Analyses were done in terms of clinical disease severity, genotype-phenotype correlations, and body composition and fat deposition alterations. VEDS subjects had increased circulating TGF-β1, TGF-β2, monocyte chemotactic protein-1, C-reactive protein, intercellular adhesion molecule-1, vascular cell adhesion molecule-1, and leptin and decreased interleukin-8 versus controls. VEDS dermal fibroblasts secreted more TGF-β2, whereas downstream canonical/noncanonical TGF-β signaling was not different. Patients with COL3A1 exon skipping mutations had higher plasma intercellular adhesion molecule-1 and vascular cell adhesion molecule-1, and VEDS probands had abnormally high plasma C-reactive protein versus affected patients identified through family members before any disease manifestations. Patients with VEDS had higher mean platelet volumes, suggesting increased platelet turnover because of ongoing vascular damage, as well as increased regional truncal adiposity. CONCLUSIONS These findings suggest that VEDS is a systemic disease with a major inflammatory component. C-reactive protein is linked to disease state and may be a disease activity marker. No changes in downstream TGF-β signaling and increased platelet turnover suggest that chronic vascular damage may partially explain increased plasma TGF-β1. Finally, we found a novel role for dysregulated TGF-β2, as well as adipocyte dysfunction, as demonstrated through reduced interleukin-8 and elevated leptin in VEDS

    Clinical and biochemical profiles suggest fibromuscular dysplasia is a systemic disease with altered TGF-β expression and connective tissue features.

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    Fibromuscular dysplasia (FMD) is a rare, nonatherosclerotic arterial disease for which the molecular basis is unknown. We comprehensively studied 47 subjects with FMD, including physical examination, spine magnetic resonance imaging, bone densitometry, and brain magnetic resonance angiography. Inflammatory biomarkers in plasma and transforming growth factor β (TGF-β) cytokines in patient-derived dermal fibroblasts were measured by ELISA. Arterial pathology other than medial fibrodysplasia with multifocal stenosis included cerebral aneurysm, found in 12.8% of subjects. Extra-arterial pathology included low bone density (P<0.001); early onset degenerative spine disease (95.7%); increased incidence of Chiari I malformation (6.4%) and dural ectasia (42.6%); and physical examination findings of a mild connective tissue dysplasia (95.7%). Screening for mutations causing known genetically mediated arteriopathies was unrevealing. We found elevated plasma TGF-β1 (P=0.009), TGF-β2 (P=0.004) and additional inflammatory markers, and increased TGF-β1 (P=0.0009) and TGF-β2 (P=0.0001) secretion in dermal fibroblast cell lines from subjects with FMD compared to age- and gender-matched controls. Detailed phenotyping of patients with FMD allowed us to demonstrate that FMD is a systemic disease with alterations in common with the spectrum of genetic syndromes that involve altered TGF-β signaling and offers TGF-β as a marker of FMD

    Human DNA-Damage-Inducible 2 Protein Is Structurally and Functionally Distinct from Its Yeast Ortholog

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    Although Ddi1-like proteins are conserved among eukaryotes, their biological functions remain poorly characterized. Yeast Ddi1 has been implicated in cell cycle regulation, DNA-damage response, and exocytosis. By virtue of its ubiquitin-like (UBL) and ubiquitin-associated (UBA) domains, it has been proposed to serve as a proteasomal shuttle factor. All Ddi1-like family members also contain a highly conserved retroviral protease-like (RVP) domain with unknown substrate specificity. While the structure and biological function of yeast Ddi1 have been investigated, no such analysis is available for the human homologs. To address this, we solved the 3D structures of the human Ddi2 UBL and RVP domains and identified a new helical domain that extends on either side of the RVP dimer. While Ddi1-like proteins from all vertebrates lack a UBA domain, we identify a novel ubiquitin-interacting motif (UIM) located at the C-terminus of the protein. The UIM showed a weak yet specific affinity towards ubiquitin, as did the Ddi2 UBL domain. However, the full-length Ddi2 protein is unable to bind to di-ubiquitin chains. While proteomic analysis revealed no activity, implying that the protease requires other factors for activation, our structural characterization of all domains of human Ddi2 sets the stage for further characterization

    Differential effects of methyl jasmonate on growth and division of etiolated zucchini cotyledons

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    Measurements of the jet energy calibration and transverse momentum resolution in CMS are presented, performed with a data sample collected in proton-proton collisions at a centre-of-mass energy of 7TeV, corresponding to an integrated luminosity of 36pb-1. The transverse momentum balance in dijet and Îł/Z+jets events is used to measure the jet energy response in the CMS detector, as well as the transverse momentum resolution. The results are presented for three different methods to reconstruct jets: a calorimeter-based approach, the "Jet-Plus-Track" approach, which improves the measurement of calorimeter jets by exploiting the associated tracks, and the "Particle Flow" approach, which attempts to reconstruct individually each particle in the event, prior to the jet clustering, based on information from all relevant subdetectors
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