Cargando…

Serum untargeted lipidomics by UHPLC-ESI-HRMS aids the biomarker discovery of colorectal adenoma

BACKGROUND: Colorectal adenoma (CA) is an important precancerous lesion and early screening target of colorectal cancer (CRC). Lipids with numerous physiological functions are proved to be involved in the development of CRC. However, there is no lipidomic study with large-scale serum samples on diag...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Hailin, Nong, Yanying, Zhu, Yifan, Liang, Yunxiao, Zhang, Jiahao, Chen, Hongwei, Zhu, Pingchuan, Zhang, Qisong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943952/
https://www.ncbi.nlm.nih.gov/pubmed/35331175
http://dx.doi.org/10.1186/s12885-022-09427-1
_version_ 1784673619312377856
author Zhou, Hailin
Nong, Yanying
Zhu, Yifan
Liang, Yunxiao
Zhang, Jiahao
Chen, Hongwei
Zhu, Pingchuan
Zhang, Qisong
author_facet Zhou, Hailin
Nong, Yanying
Zhu, Yifan
Liang, Yunxiao
Zhang, Jiahao
Chen, Hongwei
Zhu, Pingchuan
Zhang, Qisong
author_sort Zhou, Hailin
collection PubMed
description BACKGROUND: Colorectal adenoma (CA) is an important precancerous lesion and early screening target of colorectal cancer (CRC). Lipids with numerous physiological functions are proved to be involved in the development of CRC. However, there is no lipidomic study with large-scale serum samples on diagnostic biomarkers for CA. METHODS: The serum lipidomics of CA patients (n = 50) and normal control (NR) (n = 50) was performed by ultra high performance liquid chromatography-high resolution mass spectrometry with electrospray ionization (UHPLC-ESI-HRMS). Univariate and multivariate statistical analyses were utilized to screen the differential lipids between groups, and combining the constituent ratio analysis and diagnostic efficiency evaluation by receiver operating characteristic (ROC) curve disclosed the potential mechanism and biomarkers for CA. RESULTS: There were obvious differences in serum lipid profiles between CA and NR groups. Totally, 79 differential lipids were selected by criterion of P < 0.05 and fold change > 1.5 or < 0.67. Triacylglycerols (TAGs) and phosphatidylcholines (PCs) were the major differential lipids with ratio > 60%, indicating these two lipid metabolic pathways showed evident disequilibrium, which could contribute to CA formation. Of them, 12 differential lipids had good diagnostic ability as candidate biomarkers for CA (AUC ≥ 0.900) by ROC analysis. CONCLUSIONS: To our knowledge, this is the first attempt to profile serum lipidomics and explore lipid biomarkers of CA to help early screening of CRC. 12 differential lipids are obtained to act as potential diagnostic markers of CA. PCs and fatty acids were the main dysregulated biomarkers for CA in serum.
format Online
Article
Text
id pubmed-8943952
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-89439522022-03-25 Serum untargeted lipidomics by UHPLC-ESI-HRMS aids the biomarker discovery of colorectal adenoma Zhou, Hailin Nong, Yanying Zhu, Yifan Liang, Yunxiao Zhang, Jiahao Chen, Hongwei Zhu, Pingchuan Zhang, Qisong BMC Cancer Research BACKGROUND: Colorectal adenoma (CA) is an important precancerous lesion and early screening target of colorectal cancer (CRC). Lipids with numerous physiological functions are proved to be involved in the development of CRC. However, there is no lipidomic study with large-scale serum samples on diagnostic biomarkers for CA. METHODS: The serum lipidomics of CA patients (n = 50) and normal control (NR) (n = 50) was performed by ultra high performance liquid chromatography-high resolution mass spectrometry with electrospray ionization (UHPLC-ESI-HRMS). Univariate and multivariate statistical analyses were utilized to screen the differential lipids between groups, and combining the constituent ratio analysis and diagnostic efficiency evaluation by receiver operating characteristic (ROC) curve disclosed the potential mechanism and biomarkers for CA. RESULTS: There were obvious differences in serum lipid profiles between CA and NR groups. Totally, 79 differential lipids were selected by criterion of P < 0.05 and fold change > 1.5 or < 0.67. Triacylglycerols (TAGs) and phosphatidylcholines (PCs) were the major differential lipids with ratio > 60%, indicating these two lipid metabolic pathways showed evident disequilibrium, which could contribute to CA formation. Of them, 12 differential lipids had good diagnostic ability as candidate biomarkers for CA (AUC ≥ 0.900) by ROC analysis. CONCLUSIONS: To our knowledge, this is the first attempt to profile serum lipidomics and explore lipid biomarkers of CA to help early screening of CRC. 12 differential lipids are obtained to act as potential diagnostic markers of CA. PCs and fatty acids were the main dysregulated biomarkers for CA in serum. BioMed Central 2022-03-24 /pmc/articles/PMC8943952/ /pubmed/35331175 http://dx.doi.org/10.1186/s12885-022-09427-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhou, Hailin
Nong, Yanying
Zhu, Yifan
Liang, Yunxiao
Zhang, Jiahao
Chen, Hongwei
Zhu, Pingchuan
Zhang, Qisong
Serum untargeted lipidomics by UHPLC-ESI-HRMS aids the biomarker discovery of colorectal adenoma
title Serum untargeted lipidomics by UHPLC-ESI-HRMS aids the biomarker discovery of colorectal adenoma
title_full Serum untargeted lipidomics by UHPLC-ESI-HRMS aids the biomarker discovery of colorectal adenoma
title_fullStr Serum untargeted lipidomics by UHPLC-ESI-HRMS aids the biomarker discovery of colorectal adenoma
title_full_unstemmed Serum untargeted lipidomics by UHPLC-ESI-HRMS aids the biomarker discovery of colorectal adenoma
title_short Serum untargeted lipidomics by UHPLC-ESI-HRMS aids the biomarker discovery of colorectal adenoma
title_sort serum untargeted lipidomics by uhplc-esi-hrms aids the biomarker discovery of colorectal adenoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943952/
https://www.ncbi.nlm.nih.gov/pubmed/35331175
http://dx.doi.org/10.1186/s12885-022-09427-1
work_keys_str_mv AT zhouhailin serumuntargetedlipidomicsbyuhplcesihrmsaidsthebiomarkerdiscoveryofcolorectaladenoma
AT nongyanying serumuntargetedlipidomicsbyuhplcesihrmsaidsthebiomarkerdiscoveryofcolorectaladenoma
AT zhuyifan serumuntargetedlipidomicsbyuhplcesihrmsaidsthebiomarkerdiscoveryofcolorectaladenoma
AT liangyunxiao serumuntargetedlipidomicsbyuhplcesihrmsaidsthebiomarkerdiscoveryofcolorectaladenoma
AT zhangjiahao serumuntargetedlipidomicsbyuhplcesihrmsaidsthebiomarkerdiscoveryofcolorectaladenoma
AT chenhongwei serumuntargetedlipidomicsbyuhplcesihrmsaidsthebiomarkerdiscoveryofcolorectaladenoma
AT zhupingchuan serumuntargetedlipidomicsbyuhplcesihrmsaidsthebiomarkerdiscoveryofcolorectaladenoma
AT zhangqisong serumuntargetedlipidomicsbyuhplcesihrmsaidsthebiomarkerdiscoveryofcolorectaladenoma