McArdle's disease: a nonsense mutation in exon 1 of the muscle glycogen phosphorylase gene explains some but not all cases

McArdle's disease is an inherited disease that results froma lack of functional muscle glycogen phosphorylase. We reporthere the identification of a C to T transition in exon 1 ofthe muscle phosphorylase gene found in all patients studied.This base pair mutation results in the substitution of a stopcodon (TGA) for the codon (CGA) for Arg49 in the mature protein,and generates a novel restriction site for Niaill. Of sixteenMcArdle's patients, ten are homozygous for this mutation; theremainder are heterozygous. Additional unidentified mutationsmust lead to the McArdle's phenotype in the latter group ofpatients.     

Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model

We have developed a model for FROC curve fitting that relates the observer's FROC performance not to the ROC performance that would be obtained if the observer's responses were scored on a per image basis, but rather to a hypothesized ROC performance that the observer would obtain in the task of classifying a set of "candidate detections" as positive or negative. We adopt the assumptions of the Bunch FROC model, namely that the observer's detections are all mutually independent, as well as assumptions qualitatively similar to, but different in nature from, those made by Chakraborty in his AFROC scoring methodology. Under the assumptions of our model, we show that the observer's FROC performance is a linearly scaled version of the candidate analysis ROC curve, where the scaling factors are just given by the FROC operating point coordinates for detecting initial candidates. Further, we show that the likelihood function of the model parameters given observational data takes on a simple form, and we develop a maximum likelihood method for fitting a FROC curve to this data. FROC and AFROC curves are produced for computer vision observer datasets and compared with the results of the AFROC scoring method. Although developed primarily with computer vision schemes in mind, we hope that the methodology presented here will prove worthy of further study in other applications as well.     

Common variable hypogammaglobulinemia, recurrent Pneumocystis carinii pneumonia on intravenous gamma-globulin therapy, and natural killer deficiency

A toddler with common variable hypoimmunoglobulinemia (CVH), inflammatory bowel disease, and recurrent Pneumocystis carinii pneumonia (PCP) on intravenous gammaglobulin (IVIG) replacement was evaluated for a combined cellular immunodeficiency. He had a normal number of circulating T-cells, natural killer (NK) cells, T-cell subset percentages, and his peripheral blood mononuclear (PBM)-derived B-cell number was low. PBM mitogen blastogenesis and mixed lymphocyte reaction (MLR) were normal. MLR activated T-cells expressed class I and II MHC antigens, interleukin 2 (IL-2), and B-cell growth factor (IL-5)-related receptors. The patient's T-cells induced control B-cell maturation with pokeweed mitogen (PWM-PC), and did not suppress PWM-PC production by allogeneic PBM. Bone marrow (BM) CD19+ B-cell number varied between 10 and 44% of all PBM, and the BM B-cell-enriched fraction failed to differentiate to PWM-PC with autologous or allogeneic T-cell help. The NK activity assayed using K562 target cells was deficient, 9.2 x 7.7% (6.9-9.2%) pt, control 35.9 x 35.8% (16.3-67.2% +/- 12.8). In the presence of interferon-alpha, 800 U/ml, the patient's NK activity increased to 17.2 x 14.9% (12.6-17.2%), control 35.9 x 51.0% (36.5-72.3% +/- 12.0). The patient's cell-mediated lympholysis of HLA nonidentical, allogeneic stimulators was normal. Maintaining trough serum IgG levels above 500 mg/dl was required to suppress recurrent PCP. This functional NK deficiency may be relevant to the development of recurrent PCP in IVIG-treated CVH patients.     

Topical magnetic resonance for the study of muscle metabolism in human myopathy

The role of changes in energy metabolism are obvious in the myopathies with described enzyme defects, but the ability afforded by topical magnetic resonance spectroscopy to study these changes repeatedly and non-invasively helps provide an understanding of the alterations in energy metabolism seen in muscle complaints of which the aetiologies are still unclear. Attention is focused on interpreting the findings with particular regard to Duchenne muscular dystrophy.     

Long-range temporal correlations in the spontaneous spiking of neurons in the hippocampal-amygdala complex of humans

The spontaneous or background discharge patterns of in vivo single neuron is mostly considered as neuronal noise, which is assumed to be devoid of any correlation between successive inter-spike-intervals (ISI). Such random fluctuations are modeled only statistically by stochastic point process, lacking any temporal correlation. In this study, we have investigated the nature of spontaneous irregular fluctuations of single neurons from human hippocampus-amygdala complex by three different methods: (i) detrended fluctuation analysis (DFA), (ii) multiscale entropy (MSE), (iii) rate estimate convergence. Both the DFA and MSE analysis showed the presence of long-range power-law correlation over time in the ISI sequences. Moreover, we observed that the individual spike trains presented non-random structure on longer time-scales and showed slow convergence of rate estimates with increasing counting time. This power-law correlation and the slow convergence of statistical moments were eliminated by randomly shuffling the ISIs even though the distributions of ISIs were preserved. Thus the power-law relationship arose from long-term correlations among ISIs that were destroyed by shuffling the data. Further, we found that neurons which showed long-range correlations also showed statistically significant correlated firing as measured by correlation coefficient or mutual information function. The presence of long-range correlations indicates the history-effect or memory in the firing pattern by the associative formation of a neuronal assembly.     

Organization of radial glia and related cells in the developing murine CNS. An analysis based upon a new monoclonal antibody marker

A monoclonal antibody, RC1, has been generated which provides a selective and sensitive immunohistochemical marker of radial glial cells and related cell forms during development of the mouse CNS. Beginning on embryonic day E10, immunocytochemistry performed on cryostat sections stains throughout the CNS a subpopulation of cells in the ventricular zone with radial processes that terminate with endfeet at the pial surface. These processes become fasciculated and attain maximal densities by E12-14 in the spinal cord and lower brainstem and by E14-16 in the midbrain, cerebellum and forebrain. Fasciculation is especially prominent for a subclass of these cells at the midline of the brainstem and spinal cord. As nuclear and cortical structures develop, the trajectories of the radial fiber fascicles undergo systematic and region-specific distortions in their initially simple linear configuration, in the process maintaining a consistent spatial registration of germinal ventricular zones with distal sites of assembly of post-migratory neurons. In the late fetal period, radial glial progressively disappear and scattered immature astrocytes bearing multiple fine processes appear in most regions of the CNS. In the spinal cord, a transitional unipolar radial form is identified in the emerging ventral and lateral funiculi between E13 and E17. In the cerebellum, precursors to the unipolar Bergmann glial cell are identified by E15, and in the retina, precursors of the bipolar Müller cell are identified by E16. Postnatally, RC1-stained radial glia become sparse, and after one week, immunoreactive cells include only ependymal cells, hypothalamic tanycytes, Bergmann glia, Müller cells, a unipolar radial form in the dentate gyrus, and a subpopulation of white matter astrocytes. These results suggest that radial cells of astroglial lineage comprise a diverse set of cell classes which subserve multiple functions in the developing and adult brain.