Comment on "Portions of basement membrane with decreased negative charge in various glomerulonephritis".
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Biomedical subjects
Publications and source records attributed to L O Simpson.
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Blood samples from 102 volunteers who believed they suffered from myalgic encephalomyelitis were photographed in a scanning electron microscope at 500x. All identifiable cells were counted and classified on the basis of their shape. The frequency of each cell shape was expressed as a percentage of the total number of cells counted in the sample. The resulting data were compared with that from 52 healthy controls and 99 cases of multiple sclerosis which had been selected randomly by a computer from a panel of 229 cases in a concurrent study. Samples from subjects with myalgic encephalomyelitis had the lowest percentages of normal red cells and the highest incidence of cup forms. The results provide evidence that myalgic encephalomyelitis has an organic cause. Quantitative analysis of red cell shape may assist in the diagnosis of myalgic encephalomyelitis.
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Blood samples (three drops) from healthy animals and humans were fixed in a 2.5% solution of glutaraldehyde in 0.1 M cacodylate buffer at pH 7.4 within seconds of being drawn. Dehydrated and gold-coated preparations were photographed at x 600 in a scanning electron microscope, then printed at x 1200. Erythrocytes were classified according to their shape and surface features into six classes, namely, normal red cells, flat cells, cells with surface changes, early cup forms, late cup forms, cells with altered margins. The size of each shape-determined class was expressed as a percentage of the total number of cells counted. Data relating to 23 healthy females and to a mouse, rat, rabbit and horse are reported. Although the presence of nondiscocytic erythrocytes in peripheral human blood has been described, the presence of similar cells in animal blood has not been reported previously.
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One hundred and thirty-four volunteers were asked to weigh themselves at the same time each day and to make a daily assessment of a small number of symptoms related to their menstrual cycles. Details were requested of the nature of any pain relieving drugs used and of the days on which they were taken. In addition they were asked to provide information about their age, smoking habits and regular medication. Information relating to 346 cycles was obtained in this way. Symptom scores based upon the frequency and severity of 6 common symptoms occurring between days 5 and 14 compared with the symptoms scores for the last 5 days of the cycle provided a basis for categorising cycles into 3 groups. Group A cycles had a virtual absence of symptoms. Group B cycles were characterised by symptoms which were clustered towards the end of the cycle while group C had symptoms throughout the cycle. Women with cyclical symptoms (group B) were not different in age, menstrual characteristics or smoking habits from women whose cycles fell into groups A and C but their premenstrual changes in bodyweight were greater. The use of pain relieving drugs was not related to symptoms grouping and was similar in all groups. It is concluded that the scores from 6 common symptoms relating to 2 or 3 successive cycles can identify women with cyclical symptoms which may be diagnostic of premenstrual syndrome and the method could be useful in selecting subjects for studies of the syndrome.
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