Obesity-Related Changes in Human Plasma Lipidome Determined by the Lipidyzer Platform
Obesity is an increasing public health concern both in the developed and developing countries. Previous studies have demonstrated that considerable alterations in lipid metabolism and consequently marked changes in lipid profile are associated with the onset and progression of obesity-related compli...
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doaj-0b1398dcdc20472a99ec84533f6b36612021-02-22T00:02:23ZengMDPI AGBiomolecules2218-273X2021-02-011132632610.3390/biom11020326Obesity-Related Changes in Human Plasma Lipidome Determined by the Lipidyzer PlatformPéter Pikó0László Pál1Sándor Szűcs2Zsigmond Kósa3János Sándor4Róza Ádány5MTA-DE Public Health Research Group, University of Debrecen, 4032 Debrecen, HungaryDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, HungaryDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, HungaryDepartment of Health Methodology and Public Health, Faculty of Health, University of Debrecen, 4400 Nyíregyháza, HungaryDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, HungaryMTA-DE Public Health Research Group, University of Debrecen, 4032 Debrecen, HungaryObesity is an increasing public health concern both in the developed and developing countries. Previous studies have demonstrated that considerable alterations in lipid metabolism and consequently marked changes in lipid profile are associated with the onset and progression of obesity-related complications. To characterize the full spectrum of obesity-induced changes in lipid metabolism, direct infusion tandem mass spectrometry analysis is the most promising approach. To better understand which of the many lipid species are the most strongly associated with obesity, the aim of our work was to measure and profile plasma lipids in normal (<i>n</i> = 57), overweight (<i>n</i> = 31), and obese (<i>n</i> = 48) individuals randomly selected from samples of Hungarian general and Roma populations by using the targeted quantitative lipidomics platform, the Lipidyzer. Principal component and stepwise regression analyses were used to identify the most significant clusters and species of lipids by increasing body mass index (BMI). From the 18 clusters identified four key lipid species (PE P-16:0/20:3, TG 20:4_33:1, TG 22:6_36:4, TG 18:3_33:0) showed a strong significant positive and three others (Hex-Cer 18:1;O2/22:0, LPC 18:2, PC 18:1_18:1) significant negative association with BMI. Compared to individual lipid species alone, the lipid species ratio (LSR) we introduced showed an extremely strong, at least 9 orders of magnitude stronger, association with BMI. The LSR can be used as a sensitive and predictive indicator to monitor obesity-related alterations in human plasma and control the effectiveness of treatment of obesity associated non-communicable diseases.https://www.mdpi.com/2218-273X/11/2/326obesitybody mass index (BMI), lipidomic analysisLipidyzer platformexploratory principal component analysisstepwise regression analysislipid species ratio |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Péter Pikó László Pál Sándor Szűcs Zsigmond Kósa János Sándor Róza Ádány |
spellingShingle |
Péter Pikó László Pál Sándor Szűcs Zsigmond Kósa János Sándor Róza Ádány Obesity-Related Changes in Human Plasma Lipidome Determined by the Lipidyzer Platform Biomolecules obesity body mass index (BMI), lipidomic analysis Lipidyzer platform exploratory principal component analysis stepwise regression analysis lipid species ratio |
author_facet |
Péter Pikó László Pál Sándor Szűcs Zsigmond Kósa János Sándor Róza Ádány |
author_sort |
Péter Pikó |
title |
Obesity-Related Changes in Human Plasma Lipidome Determined by the Lipidyzer Platform |
title_short |
Obesity-Related Changes in Human Plasma Lipidome Determined by the Lipidyzer Platform |
title_full |
Obesity-Related Changes in Human Plasma Lipidome Determined by the Lipidyzer Platform |
title_fullStr |
Obesity-Related Changes in Human Plasma Lipidome Determined by the Lipidyzer Platform |
title_full_unstemmed |
Obesity-Related Changes in Human Plasma Lipidome Determined by the Lipidyzer Platform |
title_sort |
obesity-related changes in human plasma lipidome determined by the lipidyzer platform |
publisher |
MDPI AG |
series |
Biomolecules |
issn |
2218-273X |
publishDate |
2021-02-01 |
description |
Obesity is an increasing public health concern both in the developed and developing countries. Previous studies have demonstrated that considerable alterations in lipid metabolism and consequently marked changes in lipid profile are associated with the onset and progression of obesity-related complications. To characterize the full spectrum of obesity-induced changes in lipid metabolism, direct infusion tandem mass spectrometry analysis is the most promising approach. To better understand which of the many lipid species are the most strongly associated with obesity, the aim of our work was to measure and profile plasma lipids in normal (<i>n</i> = 57), overweight (<i>n</i> = 31), and obese (<i>n</i> = 48) individuals randomly selected from samples of Hungarian general and Roma populations by using the targeted quantitative lipidomics platform, the Lipidyzer. Principal component and stepwise regression analyses were used to identify the most significant clusters and species of lipids by increasing body mass index (BMI). From the 18 clusters identified four key lipid species (PE P-16:0/20:3, TG 20:4_33:1, TG 22:6_36:4, TG 18:3_33:0) showed a strong significant positive and three others (Hex-Cer 18:1;O2/22:0, LPC 18:2, PC 18:1_18:1) significant negative association with BMI. Compared to individual lipid species alone, the lipid species ratio (LSR) we introduced showed an extremely strong, at least 9 orders of magnitude stronger, association with BMI. The LSR can be used as a sensitive and predictive indicator to monitor obesity-related alterations in human plasma and control the effectiveness of treatment of obesity associated non-communicable diseases. |
topic |
obesity body mass index (BMI), lipidomic analysis Lipidyzer platform exploratory principal component analysis stepwise regression analysis lipid species ratio |
url |
https://www.mdpi.com/2218-273X/11/2/326 |
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