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G Kostner

Publications and source records attributed to G Kostner.

52 records · Page 3Linked to original sources
PubMed1972

Isolation and characterization of lipoprotein B from high-density human serum lipoproteins.

1. Lipoprotein B from female Lp(a)-lipoprotein-negative serum was isolated from the fraction of density 1.073-1.125 by using immunoadsorbent; 2.5mg of freeze-dried material was obtained from 100ml of serum from a fasting patient. 2. The hydrated density of this lipoprotein was found to be 1.084g/cm(3). A flotation rate F(1.200) of 9.4 and lipid/protein ratio 1.40 were found, similar to that of high-density (d 1.073-1.125) lipoprotein preparations. 3. From immunochemical and electrophoretic studies of the intact and totally delipidized lipoprotein B it was concluded that this lipoprotein represents a separate family within the high-density range of human serum lipoproteins. 4. The possibility that the isolated lipoprotein B is an artifact created by the isolation procedure is discussed.

Adsorption↗
PubMedDate not supplied

Relationship between 'sinking pre-beta-lipoprotein' (Lp(a) lipoprotein) and age in a family kindred.

Serum Lp(a) levels have been measured in a family kindred of three generations by Laurell electrophoresis. It was found that individuals with Lp(a) levels exceeding 30 mg/dl exhibited an extra pre-beta-band in agarose gel electrophoresis (sinking pre-beta positive), and a significant positive correlation existed between serum Lp(a) levels and age. A positive correlation between Lp(a) and total serum cholesterol was observed only in sinking pre-beta-positive individuals, but not in sinking pre-beta-negative individuals with Lp(a) levels of less than 30 mg/dl. These findings are not contradictory to the assumption that Lp(a) might be an independent rise factor for atherosclerosis.

Adolescent↗
PubMedDate not supplied

Risk factors for peripheral atherosclerosis. Retrospective evaluation by stepwise discriminant analysis.

To evaluate the optimal discriminators for peripheral atherosclerosis, we studied retrospectively 49 male patients and 39 male controls between 40 and 60 years of age. In addition to hypertension, cigarette smoking, diabetes mellitus, and hyperuricemia, we determined the most common lipids, lipoproteins, and apolipoproteins. Highly significant differences of median values between patients and controls in decreasing order of magnitude were recorded for apo A-II/apo B, apo A-I/apo B, apo B, total cholesterol, and LDL-cholesterol. A retrospective classification of patients and controls under optimal conditions with one variable (apo A-I/apo B) yielded an error rate of 25%. We found that apolipoproteins were better discriminators for peripheral atherosclerosis than than were lipids or lipoprotein lipids. The application of a linear regression discriminant analysis including 29 variables greatly decreased the rate of error and increased the sensitivity and specificity of the classification. From 229 possible models, we used an economic selection strategy to sort out those which either gave the best segregation or were considered the most practicable. The optimal model with 14 variables gave an error rate of less than 5% for the group studied. Suboptimal models yielded error rates between 13% and 18%. We conclude that a mathematical treatment of laboratory data which includes lipid parameters in addition to apolipoprotein values can improve the classification of peripheral vascular atherosclerosis.

Adult↗