Accurate mass and retention time library of serum lipids for type 1 diabetes research

Dysregulated lipid species are linked to various disease pathologies and implicated as potential biomarkers for type 1 diabetes (T1D). However, it is challenging to comprehensively profile the blood specimen lipidome with full structural details of every lipid molecule. The commonly used reversed-ph...

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Published inAnalytical and bioanalytical chemistry Vol. 411; no. 23; pp. 5937 - 5949
Main Authors Vu, Ngoc, Narvaez-Rivas, Monica, Chen, Guan-Yuan, Rewers, Marian J., Zhang, Qibin
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2019
Springer
Springer Nature B.V
Subjects
Analytical Chemistry
Biochemistry
Biomarkers
Blood
Blood lipids
blood serum
Characterization and Evaluation of Materials
Chemistry
Chemistry and Materials Science
childhood
Children
Confidence
Diabetes
Diabetes mellitus
Diabetes mellitus (insulin dependent)
Elution
Food Science
Human performance
humans
Instrument industry
insulin-dependent diabetes mellitus
Laboratory Medicine
Libraries
lipidomics
Lipids
Liquid chromatography
Mass spectrometry
Mass spectroscopy
Monitoring/Environmental Analysis
Paper in Forefront
Retention
Retention time
reversed-phase liquid chromatography
Serum lipids
Species
tandem mass spectrometry
Type 1 diabetes
Canada
United States
Accurate mass and time tag
Type 1 diabetes
Lipid profiling
Human serum lipidome
Mixed-mode LC
RPLC-MS/MS
Online AccessGet full text

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Abstract Dysregulated lipid species are linked to various disease pathologies and implicated as potential biomarkers for type 1 diabetes (T1D). However, it is challenging to comprehensively profile the blood specimen lipidome with full structural details of every lipid molecule. The commonly used reversed-phase liquid chromatography-tandem mass spectrometry (RPLC-MS/MS)-based lipidomics approach is powerful for the separation of individual lipid species, but lipids belonging to different classes may still co-elute and result in ion suppression and misidentification of lipids. Using offline mixed-mode and RPLC-based two-dimensional separations coupled with MS/MS, a comprehensive lipidomic profiling was performed on human sera pooled from healthy and T1D subjects. The elution order of lipid molecular species on RPLC showed good correlations to the total number of carbons in fatty acyl chains and total number of double bonds. This observation together with fatty acyl methyl ester analysis was used to enhance the confidence of identified lipid species. The final T1D serum lipid library database contains 753 lipid molecular species with accurate mass and RPLC retention time uniquely annotated for each of the species. This comprehensive human serum lipid library can serve as a database for high-throughput RPLC-MS-based lipidomic analysis of blood samples related to T1D and other childhood diseases. Graphical abstract
AbstractList Dysregulated lipid species are linked to various disease pathologies and implicated as potential biomarkers for type 1 diabetes (T1D). However, it is challenging to comprehensively profile the blood specimen lipidome with full structural details of every lipid molecule. The commonly used reversed-phase liquid chromatography-tandem mass spectrometry (RPLC-MS/MS)-based lipidomics approach is powerful for the separation of individual lipid species, but lipids belonging to different classes may still co-elute and result in ion suppression and misidentification of lipids. Using offline mixed-mode and RPLC-based two-dimensional separations coupled with MS/MS, a comprehensive lipidomic profiling was performed on human sera pooled from healthy and T1D subjects. The elution order of lipid molecular species on RPLC showed good correlations to the total number of carbons in fatty acyl chains and total number of double bonds. This observation together with fatty acyl methyl ester analysis was used to enhance the confidence of identified lipid species. The final T1D serum lipid library database contains 753 lipid molecular species with accurate mass and RPLC retention time uniquely annotated for each of the species. This comprehensive human serum lipid library can serve as a database for high-throughput RPLC-MS-based lipidomic analysis of blood samples related to T1D and other childhood diseases. Graphical abstract.Dysregulated lipid species are linked to various disease pathologies and implicated as potential biomarkers for type 1 diabetes (T1D). However, it is challenging to comprehensively profile the blood specimen lipidome with full structural details of every lipid molecule. The commonly used reversed-phase liquid chromatography-tandem mass spectrometry (RPLC-MS/MS)-based lipidomics approach is powerful for the separation of individual lipid species, but lipids belonging to different classes may still co-elute and result in ion suppression and misidentification of lipids. Using offline mixed-mode and RPLC-based two-dimensional separations coupled with MS/MS, a comprehensive lipidomic profiling was performed on human sera pooled from healthy and T1D subjects. The elution order of lipid molecular species on RPLC showed good correlations to the total number of carbons in fatty acyl chains and total number of double bonds. This observation together with fatty acyl methyl ester analysis was used to enhance the confidence of identified lipid species. The final T1D serum lipid library database contains 753 lipid molecular species with accurate mass and RPLC retention time uniquely annotated for each of the species. This comprehensive human serum lipid library can serve as a database for high-throughput RPLC-MS-based lipidomic analysis of blood samples related to T1D and other childhood diseases. Graphical abstract.
Dysregulated lipid species are linked to various disease pathologies and implicated as potential biomarkers for type 1 diabetes (T1D). However, it is challenging to comprehensively profile the blood specimen lipidome with full structural details of every lipid molecule. The commonly used reversed-phase liquid chromatography-tandem mass spectrometry (RPLC-MS/MS)-based lipidomics approach is powerful for the separation of individual lipid species, but lipids belonging to different classes may still co-elute and result in ion suppression and misidentification of lipids. Using offline mixed-mode and RPLC-based two-dimensional separations coupled with MS/MS, a comprehensive lipidomic profiling was performed on human sera pooled from healthy and T1D subjects. The elution order of lipid molecular species on RPLC showed good correlations to the total number of carbons in fatty acyl chains and total number of double bonds. This observation together with fatty acyl methyl ester analysis was used to enhance the confidence of identified lipid species. The final T1D serum lipid library database contains 753 lipid molecular species with accurate mass and RPLC retention time uniquely annotated for each of the species. This comprehensive human serum lipid library can serve as a database for high-throughput RPLC-MS-based lipidomic analysis of blood samples related to T1D and other childhood diseases. Graphical abstract
Dysregulated lipid species are linked to various disease pathologies and implicated as potential biomarkers for type 1 diabetes (T1D). However, it is challenging to comprehensively profile the blood specimen lipidome with full structural details of every lipid molecule. The commonly used reversed-phase liquid chromatography-tandem mass spectrometry (RPLC-MS/MS)-based lipidomics approach is powerful for the separation of individual lipid species, but lipids belonging to different classes may still co-elute and result in ion suppression and misidentification of lipids. Using offline mixed-mode and RPLC-based two-dimensional separations coupled with MS/MS, a comprehensive lipidomic profiling was performed on human sera pooled from healthy and T1D subjects. The elution order of lipid molecular species on RPLC showed good correlations to the total number of carbons in fatty acyl chains and total number of double bonds. This observation together with fatty acyl methyl ester analysis was used to enhance the confidence of identified lipid species. The final T1D serum lipid library database contains 753 lipid molecular species with accurate mass and RPLC retention time uniquely annotated for each of the species. This comprehensive human serum lipid library can serve as a database for high-throughput RPLC-MS-based lipidomic analysis of blood samples related to T1D and other childhood diseases.
Dysregulated lipid species are linked to various disease pathologies and implicated as potential biomarkers for type 1 diabetes (T1D). However, it is challenging to comprehensively profile the blood specimen lipidome with full structural details of every lipid molecule. The commonly used reversed-phase liquid chromatography-tandem mass spectrometry (RPLC-MS/MS)-based lipidomics approach is powerful for the separation of individual lipid species, but lipids belonging to different classes may still co-elute and result in ion suppression and misidentification of lipids. Using offline mixed-mode and RPLC-based two-dimensional separations coupled with MS/MS, a comprehensive lipidomic profiling was performed on human sera pooled from healthy and T1D subjects. The elution order of lipid molecular species on RPLC showed good correlations to the total number of carbons in fatty acyl chains and total number of double bonds. This observation together with fatty acyl methyl ester analysis was used to enhance the confidence of identified lipid species. The final T1D serum lipid library database contains 753 lipid molecular species with accurate mass and RPLC retention time uniquely annotated for each of the species. This comprehensive human serum lipid library can serve as a database for high-throughput RPLC-MS-based lipidomic analysis of blood samples related to T1D and other childhood diseases. Graphical abstract.
Dysregulated lipid species are linked to various disease pathologies and implicated as potential biomarkers for type 1 diabetes (T1D). However, it is challenging to comprehensively profile the blood specimen lipidome with full structural details of every lipid molecule. The commonly used reversed-phase liquid chromatography-tandem mass spectrometry (RPLC-MS/MS)-based lipidomics approach is powerful for the separation of individual lipid species, but lipids belonging to different classes may still co-elute and result in ion suppression and misidentification of lipids. Using offline mixed-mode and RPLC-based two-dimensional separations coupled with MS/MS, a comprehensive lipidomic profiling was performed on human sera pooled from healthy and T1D subjects. The elution order of lipid molecular species on RPLC showed good correlations to the total number of carbons in fatty acyl chains and total number of double bonds. This observation together with fatty acyl methyl ester analysis was used to enhance the confidence of identified lipid species. The final T1D serum lipid library database contains 753 lipid molecular species with accurate mass and RPLC retention time uniquely annotated for each of the species. This comprehensive human serum lipid library can serve as a database for high-throughput RPLC-MS-based lipidomic analysis of blood samples related to T1D and other childhood diseases. Graphical abstract
Audience Academic
Author Narvaez-Rivas, Monica
Zhang, Qibin
Vu, Ngoc
Chen, Guan-Yuan
Rewers, Marian J.
AuthorAffiliation 1 Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, NC 27412, USA
2 Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC 28082, USA
3 Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO 80045, USA
AuthorAffiliation_xml – name: 2 Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC 28082, USA
– name: 3 Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO 80045, USA
– name: 1 Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, NC 27412, USA
Author_xml – sequence: 1
  givenname: Ngoc
  surname: Vu
  fullname: Vu, Ngoc
  organization: Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Center for Translational Biomedical Research, University of North Carolina at Greensboro
– sequence: 2
  givenname: Monica
  surname: Narvaez-Rivas
  fullname: Narvaez-Rivas, Monica
  organization: Center for Translational Biomedical Research, University of North Carolina at Greensboro
– sequence: 3
  givenname: Guan-Yuan
  surname: Chen
  fullname: Chen, Guan-Yuan
  organization: Center for Translational Biomedical Research, University of North Carolina at Greensboro
– sequence: 4
  givenname: Marian J.
  surname: Rewers
  fullname: Rewers, Marian J.
  organization: Barbara Davis Center for Diabetes, University of Colorado School of Medicine
– sequence: 5
  givenname: Qibin
  orcidid: 0000-0002-6135-8706
  surname: Zhang
  fullname: Zhang, Qibin
  email: q_zhang2@uncg.edu
  organization: Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Center for Translational Biomedical Research, University of North Carolina at Greensboro
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31280478$$D View this record in MEDLINE/PubMed
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IsPeerReviewed true
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Issue 23
Keywords Accurate mass and time tag
Type 1 diabetes
Lipid profiling
Human serum lipidome
Mixed-mode LC
RPLC-MS/MS
Language English
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Snippet Dysregulated lipid species are linked to various disease pathologies and implicated as potential biomarkers for type 1 diabetes (T1D). However, it is...
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SubjectTerms Analytical Chemistry
Biochemistry
Biomarkers
Blood
Blood lipids
blood serum
Characterization and Evaluation of Materials
Chemistry
Chemistry and Materials Science
childhood
Children
Confidence
Diabetes
Diabetes mellitus
Diabetes mellitus (insulin dependent)
Elution
Food Science
Human performance
humans
Instrument industry
insulin-dependent diabetes mellitus
Laboratory Medicine
Libraries
lipidomics
Lipids
Liquid chromatography
Mass spectrometry
Mass spectroscopy
Monitoring/Environmental Analysis
Paper in Forefront
Retention
Retention time
reversed-phase liquid chromatography
Serum lipids
Species
tandem mass spectrometry
Type 1 diabetes
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Title Accurate mass and retention time library of serum lipids for type 1 diabetes research
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