دورية أكاديمية
Equivalent Carbon Number and Interclass Retention Time Conversion Enhance Lipid Identification in Untargeted Clinical Lipidomics.
| العنوان: | Equivalent Carbon Number and Interclass Retention Time Conversion Enhance Lipid Identification in Untargeted Clinical Lipidomics. |
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| المؤلفون: | White JB; Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide 5000, South Australia, Australia.; Vascular Research Centre, South Australian Health and Medical Research Institute, Adelaide 5000, South Australia, Australia.; Proteomics, Metabolomics and MS-Imaging Core Facility, South Australian Health and Medical Research Institute, Adelaide 5000, South Australia, Australia., Trim PJ; Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide 5000, South Australia, Australia.; Proteomics, Metabolomics and MS-Imaging Core Facility, South Australian Health and Medical Research Institute, Adelaide 5000, South Australia, Australia., Salagaras T; Vascular Research Centre, South Australian Health and Medical Research Institute, Adelaide 5000, South Australia, Australia., Long A; Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide 5000, South Australia, Australia., Psaltis PJ; Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide 5000, South Australia, Australia.; Vascular Research Centre, South Australian Health and Medical Research Institute, Adelaide 5000, South Australia, Australia., Verjans JW; Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide 5000, South Australia, Australia.; Vascular Research Centre, South Australian Health and Medical Research Institute, Adelaide 5000, South Australia, Australia., Snel MF; Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide 5000, South Australia, Australia.; Proteomics, Metabolomics and MS-Imaging Core Facility, South Australian Health and Medical Research Institute, Adelaide 5000, South Australia, Australia. |
| المصدر: | Analytical chemistry [Anal Chem] 2022 Mar 01; Vol. 94 (8), pp. 3476-3484. Date of Electronic Publication: 2022 Feb 14. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 0370536 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-6882 (Electronic) Linking ISSN: 00032700 NLM ISO Abbreviation: Anal Chem Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Washington, American Chemical Society. |
| مواضيع طبية MeSH: | Carbon* , Lipidomics*, Glycerophospholipids ; Humans ; Plasma ; Tandem Mass Spectrometry/methods |
| مستخلص: | Chromatography is often used as a method for reducing sample complexity prior to analysis by mass spectrometry, and the use of retention time (RT) is becoming increasingly popular to add valuable supporting information in lipid identification. The RT of lipids with the same headgroup in reversed-phase separation can be predicted using the equivalent carbon number (ECN) model. This model describes the effects of acyl chain length and degree of saturation on lipid RT. For the first time, we have found a robust correlation in the chromatographic separation of lipids with different headgroups that share the same fatty acid motive. This relationship can be exploited to perform interclass RT conversion (IC-RTC) by building a model from RT measurements from lipid standards that allows the prediction of RT of one lipid subclass based on another. Here, we utilize ECN modeling and IC-RTC to build a glycerophospholipid RT library with 517 entries based on 136 tandem mass spectrometry-characterized lipid RTs from NIST SRM-1950 plasma and lipid standards. The library was tested on a patient cohort undergoing coronary artery bypass grafting surgery ( n = 37). A total of 156 unique circulating glycerophospholipids were identified, of which 52 (1 LPG, 24 PE, 5 PG, 18 PI, and 9 PS) were detected with IC-RTC, thereby demonstrating the utility of this technique for the identification of lipid species not found in commercial standards. |
| المشرفين على المادة: | 0 (Glycerophospholipids) 7440-44-0 (Carbon) |
| تواريخ الأحداث: | Date Created: 20220214 Date Completed: 20220314 Latest Revision: 20220314 |
| رمز التحديث: | 20231215 |
| DOI: | 10.1021/acs.analchem.1c03770 |
| PMID: | 35157429 |
| قاعدة البيانات: | MEDLINE |
Find this issue from the American Chemical Society | تدمد: | 1520-6882 |
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| DOI: | 10.1021/acs.analchem.1c03770 |