Biomedical subjects
Publications and source records attributed to Gareth R Clegg.
Gamma hydroxybutyrate is increasingly being used recreationally in the United Kingdom. We present a case of gamma hydroxybutyrate overdose associated with paroxysmal sympathetic storm, a phenomenon usually confined to patients who have sustained traumatic brain injury.
Injured alveolar epithelial type (AT) I cells are replaced following the proliferation and transformation of ATII cells to new ATI cells. RTI(40) is an ATI cell-specific protein required for normal lung development. We hypothesized that intermediate cell types in the ATII-to-ATI cell transformation would coexpress RTI(40) and ATII cell-selective proteins. To test this hypothesis, we used a rat model of Staphylococcus aureus-induced acute lung injury and a panel of ATI and ATII cell-specific and -selective antibodies. S. aureus induced an acute inflammatory reaction that was resolving by day 3 postinoculation. At day 3 postinoculation, the alveolar wall was thickened secondary to ATII cell hyperplasia. With the use of confocal microscopy, there was a fivefold increase in the fractional surface area of alveolar walls stained with ATII cell membrane proteins (RTII(70) and MMC4) and a decrease in the fractional surface area associated with RTI(40)-expressing cells. S. aureus-treated lungs also contained unique cell types that coexpressed the RTI(40) and ATII markers RTI(40)/MMC4/RTII(70)- and RTI(40)/MMC4-positive cells. These cells were not observed in control lungs. RTI(40)/MMC4-positive cells were also found in cultured ATII cells before they transformed to an ATI-like phenotype. Our data suggest that RTI(40)/MMC4/RTII(70)- and RTI(40)/MMC4-positive cells are intermediates in the ATII-to-ATI cell transformation. These data also suggest that the coexpression of RTI(40) with ATII cell proteins may be used to identify and investigate ATII cell transdifferentiation to ATI cells following injury.
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We report an improved method for the estimation of shock outcome prediction based on novel wavelet transform-based time-frequency methods. Wavelet-based peak frequency, energy, mean frequency, spectral flatness and a new entropy measure were studied to predict shock outcome. Of these, the entropy measure provided optimal results with 60 +/- 6% specificity at 91 +/- 2% sensitivity achieved for the prediction of return of spontaneous circulation (ROSC). These results represent a major improvement in shock prediction in human ventricular fibrillation.
The surface electrocardiogram associated with ventricular fibrillation has been of interest to researchers for some time. Over the last few decades, techniques have been developed to analyse this signal in an attempt to obtain more information about the state of the myocardium and the chances of successful defibrillation. This review looks at the implications of analysing the VF waveform and discusses the various techniques that have been used, including fast Fourier transform analysis, wavelet transform analysis and mathematical techniques such as chaos theory.
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