Proton nuclear magnetic resonance lineshape studies on human blood plasma lipids from newborn infants, healthy adults, and adults with tumors
- 1 July 1992
- journal article
- research article
- Published by Wiley in Magnetic Resonance in Medicine
- Vol. 26 (1) , 89-99
- https://doi.org/10.1002/mrm.1910260110
Abstract
The usefulness of proton NMR spectroscopy of human blood plasma for cancer research has been extensively studied in recent years. Two main starting points have been offered by Fossel et al. (N. Engl. J. Med. 315, 1369 (1986)) and Mountford et al. (FEBS Lett. 203, 164 (1986)). In this work the experimental proton NMR spectra of blood plasma were analyzed with the aid of the multivariate lineshape fitting method. An appropriate model structure, in terms of the various lipoprotein (VLDL, LDL. and HDL) signals, for the methylene region was used. Neonates, healthy adults, and adults with nonmalignant and malignant tumors were studied. The linewidth of the methylene region was found to be linearly dependent on the relative concentrations of the lipoproteins. The correlation coefficient was ‐0.89 (P < 0.001) for VLDL and 0.88 (P < 0.00 1) for HDL. A correlation between VLDL concentration and age, 0.76 (P < 0.001), was also established. VLDL was modeled using two components. The half‐linewidth of the lower field component was slightly elevated for the adults with large metastases. This might be in association with the fucose‐containing proteolipid complex detected earlier in cancer cells or in sera of cancer patients. Some signals of this complex may fall in the same region of the spectra. The spectra for the neonates were indicated to be totally different from the adults. This and other related questions were explained by means of the model parameters and the relative concentrations of the lipoproteins VLDL, LDL, and HDL. The presented technique can be used as a rapid research tool for figuring out the relative concentrations of the lipoproteins in blood plasma and explaining the reasons behind the changes in the spectra.Keywords
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