Cargando…
Serum lipidomics profiles reveal potential lipid markers for prediabetes and type 2 diabetes in patients from multiple communities
OBJECTIVE: Dyslipidemia is a hallmark of diabetes mellitus (DM). However, specific lipid molecules closely associated with the initiation and progression of diabetes remain unclear. We used a pseudotargeted lipidomics approach to evaluate the complex lipid changes that occurred long before the diagn...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434798/ https://www.ncbi.nlm.nih.gov/pubmed/36060983 http://dx.doi.org/10.3389/fendo.2022.966823 |
_version_ | 1784780964393648128 |
---|---|
author | Xuan, Qiuhui Hu, Chunxiu Zhang, Yinan Wang, Qingqing Zhao, Xinjie Liu, Xinyu Wang, Congrong Jia, Weiping Xu, Guowang |
author_facet | Xuan, Qiuhui Hu, Chunxiu Zhang, Yinan Wang, Qingqing Zhao, Xinjie Liu, Xinyu Wang, Congrong Jia, Weiping Xu, Guowang |
author_sort | Xuan, Qiuhui |
collection | PubMed |
description | OBJECTIVE: Dyslipidemia is a hallmark of diabetes mellitus (DM). However, specific lipid molecules closely associated with the initiation and progression of diabetes remain unclear. We used a pseudotargeted lipidomics approach to evaluate the complex lipid changes that occurred long before the diagnosis of type 2 diabetes mellitus (T2DM) and to identify novel lipid markers for screening prediabetes mellitus (PreDM) and T2DM in patients from multiple communities. METHODS: Four hundred and eighty-one subjects consisting of T2DM, three subtypes of PreDM, and normal controls (NC) were enrolled as discovery cohort. Serum lipidomic profiles of 481 subjects were analyzed using an ultrahigh performance liquid chromatography-triple quadrupole mass spectrometry (UHPLC-QqQ-MS)-based pseudotargeted lipidomics method. The differential lipid molecules were further validated in an independent case-control study consisting of 150 PreDM, 234 T2DM and 94 NC. RESULTS: Multivariate discriminative analyses show that lipidomics data have considerable potential for identifying lipidome differences among T2DM, subtypes of PreDM and NC. Statistical associations of lipid (sub)species display significant variations in 11 lipid (sub)species levels for T2DM and distinctive differences in 8 lipid (sub)species levels between prediabetic and normoglycemic individuals, with further differences in 8 lipid (sub)species levels among subtypes of PreDM. Adjusted for sex, age and BMI, only two lipid (sub)species of fatty acid (FA) and phosphatidylcholine (PC) were associated at p< 0.05 for PreDM (all) and subtypes of PreDM. The defined lipid markers not only significantly improve the diagnostic accuracy of PreDM and T2DM but also effectively evaluating the risk of developing into each subtype of PreDM and T2DM when addition of age, sex, BMI, and FPG, respectively. CONCLUSIONS: Our findings improve insights into the lipid metabolic complexity and interindividual variations among subtypes of PreDM and T2DM, beyond the well-known differences in dyslipidemia in clinic. |
format | Online Article Text |
id | pubmed-9434798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94347982022-09-02 Serum lipidomics profiles reveal potential lipid markers for prediabetes and type 2 diabetes in patients from multiple communities Xuan, Qiuhui Hu, Chunxiu Zhang, Yinan Wang, Qingqing Zhao, Xinjie Liu, Xinyu Wang, Congrong Jia, Weiping Xu, Guowang Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: Dyslipidemia is a hallmark of diabetes mellitus (DM). However, specific lipid molecules closely associated with the initiation and progression of diabetes remain unclear. We used a pseudotargeted lipidomics approach to evaluate the complex lipid changes that occurred long before the diagnosis of type 2 diabetes mellitus (T2DM) and to identify novel lipid markers for screening prediabetes mellitus (PreDM) and T2DM in patients from multiple communities. METHODS: Four hundred and eighty-one subjects consisting of T2DM, three subtypes of PreDM, and normal controls (NC) were enrolled as discovery cohort. Serum lipidomic profiles of 481 subjects were analyzed using an ultrahigh performance liquid chromatography-triple quadrupole mass spectrometry (UHPLC-QqQ-MS)-based pseudotargeted lipidomics method. The differential lipid molecules were further validated in an independent case-control study consisting of 150 PreDM, 234 T2DM and 94 NC. RESULTS: Multivariate discriminative analyses show that lipidomics data have considerable potential for identifying lipidome differences among T2DM, subtypes of PreDM and NC. Statistical associations of lipid (sub)species display significant variations in 11 lipid (sub)species levels for T2DM and distinctive differences in 8 lipid (sub)species levels between prediabetic and normoglycemic individuals, with further differences in 8 lipid (sub)species levels among subtypes of PreDM. Adjusted for sex, age and BMI, only two lipid (sub)species of fatty acid (FA) and phosphatidylcholine (PC) were associated at p< 0.05 for PreDM (all) and subtypes of PreDM. The defined lipid markers not only significantly improve the diagnostic accuracy of PreDM and T2DM but also effectively evaluating the risk of developing into each subtype of PreDM and T2DM when addition of age, sex, BMI, and FPG, respectively. CONCLUSIONS: Our findings improve insights into the lipid metabolic complexity and interindividual variations among subtypes of PreDM and T2DM, beyond the well-known differences in dyslipidemia in clinic. Frontiers Media S.A. 2022-08-15 /pmc/articles/PMC9434798/ /pubmed/36060983 http://dx.doi.org/10.3389/fendo.2022.966823 Text en Copyright © 2022 Xuan, Hu, Zhang, Wang, Zhao, Liu, Wang, Jia and Xu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Xuan, Qiuhui Hu, Chunxiu Zhang, Yinan Wang, Qingqing Zhao, Xinjie Liu, Xinyu Wang, Congrong Jia, Weiping Xu, Guowang Serum lipidomics profiles reveal potential lipid markers for prediabetes and type 2 diabetes in patients from multiple communities |
title | Serum lipidomics profiles reveal potential lipid markers for prediabetes and type 2 diabetes in patients from multiple communities |
title_full | Serum lipidomics profiles reveal potential lipid markers for prediabetes and type 2 diabetes in patients from multiple communities |
title_fullStr | Serum lipidomics profiles reveal potential lipid markers for prediabetes and type 2 diabetes in patients from multiple communities |
title_full_unstemmed | Serum lipidomics profiles reveal potential lipid markers for prediabetes and type 2 diabetes in patients from multiple communities |
title_short | Serum lipidomics profiles reveal potential lipid markers for prediabetes and type 2 diabetes in patients from multiple communities |
title_sort | serum lipidomics profiles reveal potential lipid markers for prediabetes and type 2 diabetes in patients from multiple communities |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434798/ https://www.ncbi.nlm.nih.gov/pubmed/36060983 http://dx.doi.org/10.3389/fendo.2022.966823 |
work_keys_str_mv | AT xuanqiuhui serumlipidomicsprofilesrevealpotentiallipidmarkersforprediabetesandtype2diabetesinpatientsfrommultiplecommunities AT huchunxiu serumlipidomicsprofilesrevealpotentiallipidmarkersforprediabetesandtype2diabetesinpatientsfrommultiplecommunities AT zhangyinan serumlipidomicsprofilesrevealpotentiallipidmarkersforprediabetesandtype2diabetesinpatientsfrommultiplecommunities AT wangqingqing serumlipidomicsprofilesrevealpotentiallipidmarkersforprediabetesandtype2diabetesinpatientsfrommultiplecommunities AT zhaoxinjie serumlipidomicsprofilesrevealpotentiallipidmarkersforprediabetesandtype2diabetesinpatientsfrommultiplecommunities AT liuxinyu serumlipidomicsprofilesrevealpotentiallipidmarkersforprediabetesandtype2diabetesinpatientsfrommultiplecommunities AT wangcongrong serumlipidomicsprofilesrevealpotentiallipidmarkersforprediabetesandtype2diabetesinpatientsfrommultiplecommunities AT jiaweiping serumlipidomicsprofilesrevealpotentiallipidmarkersforprediabetesandtype2diabetesinpatientsfrommultiplecommunities AT xuguowang serumlipidomicsprofilesrevealpotentiallipidmarkersforprediabetesandtype2diabetesinpatientsfrommultiplecommunities |