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Institution

University of Bedfordshire

EducationLuton, Bedford, United Kingdom
About: University of Bedfordshire is a education organization based out in Luton, Bedford, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 3860 authors who have published 6079 publications receiving 143448 citations. The organization is also known as: University of Luton.


Papers
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Journal ArticleDOI
TL;DR: The recommendation made here is that LLNA EC3 measurements should now be regarded as a validated method for the determination of the relative potency of skin sensitizing chemicals, a conclusion that has already been reached by a number of independent expert groups.
Abstract: For the prediction of skin sensitization potential, the local lymph node assay (LLNA) is a fully validated alternative to guinea-pig tests. More recently, information from LLNA dose-response analyses has been used to assess the relative potency of skin sensitizing chemicals. These data are then deployed for risk assessment and risk management. In this commentary, the utility and validity of these relative potency measurements are reviewed. It is concluded that the LLNA does provide a valuable assessment of relative sensitizing potency in the form of the estimated concentration of a chemical required to produce a threefold stimulation of draining lymph node cell proliferation compared with concurrent controls (EC3 value) and that all reasonable validation requirements have been addressed successfully. EC3 measurements are reproducible in both intra- and interlaboratory evaluations and are stable over time. It has been shown also, by several independent groups, that EC3 values correlate closely with data on relative human skin sensitization potency. Consequently, the recommendation made here is that LLNA EC3 measurements should now be regarded as a validated method for the determination of the relative potency of skin sensitizing chemicals, a conclusion that has already been reached by a number of independent expert groups.

102 citations

Journal ArticleDOI
TL;DR: In conclusion, macrophage-secreted factors induce a major inflammatory response in human adipocytes, with expression of MMP family members being strongly up-regulated.
Abstract: White adipose tissue exhibits inflammation as tissue mass expands in obesity, involving macrophage infiltration and a direct inflammatory response by adipocytes. DNA microarrays and conditioned medium have been used to examine the effects of macrophages on global gene expression in human adipocytes. SGBS adipocytes, differentiated in culture, were treated with macrophage-conditioned medium (U937 cells) for 4 or 24 h; control cells received unconditioned medium. Agilent arrays comprising 44,000 probes were used to analyse gene expression. Microarray analysis identified 1,088 genes differentially expressed in response to the conditioned medium at both 4 and 24 h (754 up-regulated, 334 down-regulated at 24 h); these included genes associated with inflammation and macrophage infiltration. A cluster of matrix metalloproteinase genes were highly up-regulated at both time-points, including MMP1, MMP3, MMP9, MMP10, MMP12 and MMP19. At 4 and 24 h, MMP1 was the most highly up-regulated gene (>2,400-fold increase in mRNA at 24 h). ELISA measurements indicated that substantial quantities of MMP1 and MMP3 were released from adipocytes incubated with conditioned medium, with little release by control adipocytes. Treatment with TNFα induced substantial increases in MMP1 (>100-fold) and MMP3 (27-fold) mRNA level and MMP1 and MMP3 release in adipocytes, suggesting that this cytokine could contribute to the stimulation of MMP expression by macrophages. In conclusion, macrophage-secreted factors induce a major inflammatory response in human adipocytes, with expression of MMP family members being strongly up-regulated. The induction of MMP1 and other MMPs suggests that macrophages stimulate tissue remodelling during adipose tissue expansion in obesity.

102 citations

Journal ArticleDOI
TL;DR: Results show that the electrical properties of normal, pre-cancerous and cancerous oral keratinocytes are distinct, and increasing CEff and decreasing cytoplasmic conductivity correlate with disease progression which could prove significant for diagnostic and prognostic applications.
Abstract: Most oral cancers are oral squamous cell carcinomas (OSCC) that arise from the epithelial lining of the oral mucosa. Given that the oral cavity is easily accessible, the disease lends itself to early detection; however, most oral cancers are diagnosed at a late stage, and approximately half of oral cancer sufferers do not survive beyond five years, post-diagnosis. The low survival rate has been attributed to late detection, but there is no accepted, reliable and convenient method for the detection of oral cancer and oral pre-cancer. Dielectrophoresis (DEP) is a label-free technique which can be used to obtain multi-parametric measurements of cell electrical properties. Parameters such as cytoplasmic conductivity and effective membrane capacitance (C(Eff)) can be non-invasively determined by the technique. In this study, a novel lab-on-a-chip device was used to determine the cytoplasmic conductivity and C(Eff) of primary normal oral keratinocytes, and pre-cancerous and cancerous oral keratinocyte cell lines. Our results show that the electrical properties of normal, pre-cancerous and cancerous oral keratinocytes are distinct. Furthermore, increasing C (Eff) and decreasing cytoplasmic conductivity correlate with disease progression which could prove significant for diagnostic and prognostic applications. DEP has the potential to be used as a non-invasive technique to detect oral cancer and oral pre-cancer. Clinical investigation is needed to establish the reliability and temporal relationship of the correlation between oncologic disease progression and the electrical parameters identified in this study. To use this technique as an OSCC detection tool in a clinical setting, further characterisation and refinement is warranted.

102 citations

Journal ArticleDOI
TL;DR: In both studies, higher commitment to the in-group increased use of group-based criteria for judging peers and multiple classification skill was associated with lower intergroup bias and greater use of morality-based judgment.
Abstract: The developmental model of subjective group dynamics hypothesizes that peer exclusion during middle childhood involves inferences about group dynamics. To test the generality of this prediction, children judged, within minimal groups, peers whose behavior was loyal versus disloyal (Study 1: n = 46, mean age = 113 months) or morally acceptable versus unacceptable (Study 2: n = 121, mean age = 90 months). As hypothesized, in Study 1, children used their understanding of loyalty norms as a basis for evaluating peers. In both studies, higher commitment to the in-group increased use of group-based criteria for judging peers. In Study 2, children employed moral- and group-based criteria independently for judging peers. Multiple classification skill was associated with lower intergroup bias and greater use of morality-based judgment.

102 citations

Journal ArticleDOI
TL;DR: Pasman et al. as discussed by the authors determined the relationship between athletes' goal orientations, elements of perfectionism, perceived ability and obligatory exercise behaviour. And they found that 31% of the participants' obligatory exercise behavior could be explained by a combination of athletes' goals, perceived abilities, concern about mistakes and high personal standards, while achievement related overstriving, which included high task and ego goals and elements of neurotic perfectionism combined to explain 27% variance in the obligatory exercise behaviors of male participants.

102 citations


Authors

Showing all 3892 results

NameH-indexPapersCitations
Jie Zhang1784857221720
Oscar H. Franco11182266649
Timothy J. Foster9842032338
Christopher P. Denton9567542040
Ian Kimber9162028629
Michael J. Gidley8642024313
David Carling8618645066
Anthony Turner7948924734
Rhys E. Green7828530428
Vijay Kumar Thakur7437517719
Dave J. Adams7328319526
Naresh Magan7240017511
Aedin Cassidy7021817788
David A. Basketter7032516639
Richard C. Strange6724917805
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
202248
2021345
2020363
2019323
2018329