Cargando…

Lipidomics Reveals Serum Specific Lipid Alterations in Diabetic Nephropathy

In diabetes mellitus (DM), disorders of glucose and lipid metabolism are significant causes of the onset and progression of diabetic nephropathy (DN). However, the exact roles of specific lipid molecules in the pathogenesis of DN remain unclear. This study recruited 577 participants, including healt...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Tingting, Xu, Xiaoyan, Zhang, Lu, Zhang, Ke, Wei, Qiong, Zhu, Lin, Yu, Ying, Xiao, Liangxiang, Lin, Lili, Qian, Wenjuan, Wang, Jue, Ke, Mengying, An, Xiaofei, Liu, Shijia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695735/
https://www.ncbi.nlm.nih.gov/pubmed/34956093
http://dx.doi.org/10.3389/fendo.2021.781417
_version_ 1784619644689055744
author Xu, Tingting
Xu, Xiaoyan
Zhang, Lu
Zhang, Ke
Wei, Qiong
Zhu, Lin
Yu, Ying
Xiao, Liangxiang
Lin, Lili
Qian, Wenjuan
Wang, Jue
Ke, Mengying
An, Xiaofei
Liu, Shijia
author_facet Xu, Tingting
Xu, Xiaoyan
Zhang, Lu
Zhang, Ke
Wei, Qiong
Zhu, Lin
Yu, Ying
Xiao, Liangxiang
Lin, Lili
Qian, Wenjuan
Wang, Jue
Ke, Mengying
An, Xiaofei
Liu, Shijia
author_sort Xu, Tingting
collection PubMed
description In diabetes mellitus (DM), disorders of glucose and lipid metabolism are significant causes of the onset and progression of diabetic nephropathy (DN). However, the exact roles of specific lipid molecules in the pathogenesis of DN remain unclear. This study recruited 577 participants, including healthy controls (HCs), type-2 DM (2-DM) patients, and DN patients, from the clinic. Serum samples were collected under fasting conditions. Liquid chromatography-mass spectrometry-based lipidomics methods were used to explore the lipid changes in the serum and identify potential lipid biomarkers for the diagnosis of DN. Lipidomics revealed that the combination of lysophosphatidylethanolamine (LPE) (16:0) and triacylglycerol (TAG) 54:2-FA18:1 was a biomarker panel for predicting DN. The receiver operating characteristic analysis showed that the panel had a sensitivity of 89.1% and 73.4% with a specificity of 88.1% and 76.7% for discriminating patients with DN from HCs and 2-DM patients. Then, we divided the DN patients in the validation cohort into microalbuminuria (diabetic nephropathy at an early stage, DNE) and macroalbuminuria (diabetic nephropathy at an advanced stage, DNA) groups and found that LPE(16:0), phosphatidylethanolamine (PE) (16:0/20:2), and TAG54:2-FA18:1 were tightly associated with the stages of DN. The sensitivity of the biomarker panel to distinguish between patients with DNE and 2-DM, DNA, and DNE patients was 65.6% and 85.9%, and the specificity was 76.7% and 75.0%, respectively. Our experiment showed that the combination of LPE(16:0), PE(16:0/20:2), and TAG54:2-FA18:1 exhibits excellent performance in the diagnosis of DN.
format Online
Article
Text
id pubmed-8695735
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-86957352021-12-24 Lipidomics Reveals Serum Specific Lipid Alterations in Diabetic Nephropathy Xu, Tingting Xu, Xiaoyan Zhang, Lu Zhang, Ke Wei, Qiong Zhu, Lin Yu, Ying Xiao, Liangxiang Lin, Lili Qian, Wenjuan Wang, Jue Ke, Mengying An, Xiaofei Liu, Shijia Front Endocrinol (Lausanne) Endocrinology In diabetes mellitus (DM), disorders of glucose and lipid metabolism are significant causes of the onset and progression of diabetic nephropathy (DN). However, the exact roles of specific lipid molecules in the pathogenesis of DN remain unclear. This study recruited 577 participants, including healthy controls (HCs), type-2 DM (2-DM) patients, and DN patients, from the clinic. Serum samples were collected under fasting conditions. Liquid chromatography-mass spectrometry-based lipidomics methods were used to explore the lipid changes in the serum and identify potential lipid biomarkers for the diagnosis of DN. Lipidomics revealed that the combination of lysophosphatidylethanolamine (LPE) (16:0) and triacylglycerol (TAG) 54:2-FA18:1 was a biomarker panel for predicting DN. The receiver operating characteristic analysis showed that the panel had a sensitivity of 89.1% and 73.4% with a specificity of 88.1% and 76.7% for discriminating patients with DN from HCs and 2-DM patients. Then, we divided the DN patients in the validation cohort into microalbuminuria (diabetic nephropathy at an early stage, DNE) and macroalbuminuria (diabetic nephropathy at an advanced stage, DNA) groups and found that LPE(16:0), phosphatidylethanolamine (PE) (16:0/20:2), and TAG54:2-FA18:1 were tightly associated with the stages of DN. The sensitivity of the biomarker panel to distinguish between patients with DNE and 2-DM, DNA, and DNE patients was 65.6% and 85.9%, and the specificity was 76.7% and 75.0%, respectively. Our experiment showed that the combination of LPE(16:0), PE(16:0/20:2), and TAG54:2-FA18:1 exhibits excellent performance in the diagnosis of DN. Frontiers Media S.A. 2021-12-09 /pmc/articles/PMC8695735/ /pubmed/34956093 http://dx.doi.org/10.3389/fendo.2021.781417 Text en Copyright © 2021 Xu, Xu, Zhang, Zhang, Wei, Zhu, Yu, Xiao, Lin, Qian, Wang, Ke, An and Liu 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
Xu, Tingting
Xu, Xiaoyan
Zhang, Lu
Zhang, Ke
Wei, Qiong
Zhu, Lin
Yu, Ying
Xiao, Liangxiang
Lin, Lili
Qian, Wenjuan
Wang, Jue
Ke, Mengying
An, Xiaofei
Liu, Shijia
Lipidomics Reveals Serum Specific Lipid Alterations in Diabetic Nephropathy
title Lipidomics Reveals Serum Specific Lipid Alterations in Diabetic Nephropathy
title_full Lipidomics Reveals Serum Specific Lipid Alterations in Diabetic Nephropathy
title_fullStr Lipidomics Reveals Serum Specific Lipid Alterations in Diabetic Nephropathy
title_full_unstemmed Lipidomics Reveals Serum Specific Lipid Alterations in Diabetic Nephropathy
title_short Lipidomics Reveals Serum Specific Lipid Alterations in Diabetic Nephropathy
title_sort lipidomics reveals serum specific lipid alterations in diabetic nephropathy
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695735/
https://www.ncbi.nlm.nih.gov/pubmed/34956093
http://dx.doi.org/10.3389/fendo.2021.781417
work_keys_str_mv AT xutingting lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT xuxiaoyan lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT zhanglu lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT zhangke lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT weiqiong lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT zhulin lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT yuying lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT xiaoliangxiang lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT linlili lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT qianwenjuan lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT wangjue lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT kemengying lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT anxiaofei lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy
AT liushijia lipidomicsrevealsserumspecificlipidalterationsindiabeticnephropathy