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Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions
Obesity is an epidemic all around the world. Weight loss interventions that are effective differ from each other with regard to various lipidomic responses. Here, we aimed to find lipidomic biomarkers that are related to beneficial changes in weight loss. We adopted an untargeted liquid chromatograp...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097218/ https://www.ncbi.nlm.nih.gov/pubmed/37049623 http://dx.doi.org/10.3390/nu15071784 |
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author | Lin, Kaiqing Cheng, Wei Shen, Qiwei Wang, Hui Wang, Ruwen Guo, Shanshan Wu, Xianmin Wu, Wei Chen, Peijie Wang, Yongfei Ye, Hongying Zhang, Qiongyue Wang, Ru |
author_facet | Lin, Kaiqing Cheng, Wei Shen, Qiwei Wang, Hui Wang, Ruwen Guo, Shanshan Wu, Xianmin Wu, Wei Chen, Peijie Wang, Yongfei Ye, Hongying Zhang, Qiongyue Wang, Ru |
author_sort | Lin, Kaiqing |
collection | PubMed |
description | Obesity is an epidemic all around the world. Weight loss interventions that are effective differ from each other with regard to various lipidomic responses. Here, we aimed to find lipidomic biomarkers that are related to beneficial changes in weight loss. We adopted an untargeted liquid chromatography with tandem mass spectrometry (LC-MS/MS) method to measure 953 lipid species for Exercise (exercise intervention cohort, N = 25), 1388 lipid species for LSG (laparoscopic sleeve gastrectomy cohort, N = 36), and 886 lipid species for Cushing (surgical removal of the ACTH-secreting pituitary adenomas cohort, N = 25). Overall, the total diacylglycerol (DG), triacylglycerol (TG), phosphatidylethanolamine (PE), phosphatidylinositol (PI), phosphatidylserine (PS), and sphingomyelin (SM) levels were associated with changes in BMI, glycated hemoglobin (HbA1c), triglyceride, and total cholesterol according to weight loss interventions. We found that 73 lipid species changed among the three weight loss interventions. We screened 13 lipid species with better predictive accuracy in diagnosing weight loss situations in either Exercise, LSG, or Cushing cohorts (AUROC > 0.7). More importantly, we identified three phosphatidylcholine (PC) lipid species, PC (14:0_18:3), PC (31:1), and PC (32:2) that were significantly associated with weight change in three studies. Our results highlight potential lipidomic biomarkers that, in the future, could be used in personalized approaches involving weight loss interventions. |
format | Online Article Text |
id | pubmed-10097218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100972182023-04-13 Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions Lin, Kaiqing Cheng, Wei Shen, Qiwei Wang, Hui Wang, Ruwen Guo, Shanshan Wu, Xianmin Wu, Wei Chen, Peijie Wang, Yongfei Ye, Hongying Zhang, Qiongyue Wang, Ru Nutrients Article Obesity is an epidemic all around the world. Weight loss interventions that are effective differ from each other with regard to various lipidomic responses. Here, we aimed to find lipidomic biomarkers that are related to beneficial changes in weight loss. We adopted an untargeted liquid chromatography with tandem mass spectrometry (LC-MS/MS) method to measure 953 lipid species for Exercise (exercise intervention cohort, N = 25), 1388 lipid species for LSG (laparoscopic sleeve gastrectomy cohort, N = 36), and 886 lipid species for Cushing (surgical removal of the ACTH-secreting pituitary adenomas cohort, N = 25). Overall, the total diacylglycerol (DG), triacylglycerol (TG), phosphatidylethanolamine (PE), phosphatidylinositol (PI), phosphatidylserine (PS), and sphingomyelin (SM) levels were associated with changes in BMI, glycated hemoglobin (HbA1c), triglyceride, and total cholesterol according to weight loss interventions. We found that 73 lipid species changed among the three weight loss interventions. We screened 13 lipid species with better predictive accuracy in diagnosing weight loss situations in either Exercise, LSG, or Cushing cohorts (AUROC > 0.7). More importantly, we identified three phosphatidylcholine (PC) lipid species, PC (14:0_18:3), PC (31:1), and PC (32:2) that were significantly associated with weight change in three studies. Our results highlight potential lipidomic biomarkers that, in the future, could be used in personalized approaches involving weight loss interventions. MDPI 2023-04-06 /pmc/articles/PMC10097218/ /pubmed/37049623 http://dx.doi.org/10.3390/nu15071784 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lin, Kaiqing Cheng, Wei Shen, Qiwei Wang, Hui Wang, Ruwen Guo, Shanshan Wu, Xianmin Wu, Wei Chen, Peijie Wang, Yongfei Ye, Hongying Zhang, Qiongyue Wang, Ru Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions |
title | Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions |
title_full | Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions |
title_fullStr | Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions |
title_full_unstemmed | Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions |
title_short | Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions |
title_sort | lipid profiling reveals lipidomic signatures of weight loss interventions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097218/ https://www.ncbi.nlm.nih.gov/pubmed/37049623 http://dx.doi.org/10.3390/nu15071784 |
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