| Title |
A novel chiral stationary phase HPLC-MS/MS method to discriminate between enzymatic oxidation and auto-oxidation of phosphatidylcholine
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, August 2016
|
| DOI | 10.1007/s00216-016-9882-4 |
| Pubmed ID | |
| Authors |
Junya Ito, Kiyotaka Nakagawa, Shunji Kato, Takafumi Hirokawa, Shigefumi Kuwahara, Toshiharu Nagai, Teruo Miyazawa |
| Abstract |
To elucidate the role of enzymatic lipid peroxidation in disease pathogenesis and in food deterioration, we recently achieved stereoselective analysis of phosphatidylcholine hydroperoxide (PCOOH) possessing 13S-hydroperoxy-9Z,11E-octadecadienoic acid (13(S)-9Z,11E-HPODE) using HPLC-MS/MS with a CHIRALPAK OP (+) column. Because enzymatic oxidation progresses concurrently with auto-oxidation, we need to distinguish them further. Here, we attempted such an analysis. First, we used lipoxygenase, linoleic acid, and lysophosphatidylcholine (LPC) to synthesize the enzymatic oxidation product 13(S)-9Z,11E-HPODE PC, and the auto-oxidation products 13(RS)-9Z,11E-HPODE PC and 13(RS)-9E,11E-HPODE PC, which were used as standards to test the ability of various columns to separate the enzymatic oxidation product from auto-oxidation products. Separation was achieved by connecting in series two columns with different properties: CHIRALPAK OP (+) and CHIRALPAK IB-3. The CHIRALPAK OP (+) column separated 13(R)-9Z,11E-HPODE PC and 13(S)-9Z,11E-HPODE PC, whereas CHIRALPAK IB-3 enabled separation of 13(S)-9Z,11E-HPODE PC and 13(RS)-9E,11E-HPODE PC. The results for the analysis of both enzymatically oxidized and auto-oxidized lecithin (an important phospholipid mixture in vivo and in food) indicate that our method would be useful for distinguishing enzymatic oxidation and auto-oxidation reactions. Such information will be invaluable for elucidating the involvement of PCOOH in disease pathogenesis and in food deterioration. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 25% |
| Other | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 4 | 25% |
| Agricultural and Biological Sciences | 3 | 19% |
| Immunology and Microbiology | 1 | 6% |
| Unknown | 8 | 50% |
Attention Score in Context
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