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Intra- and inter-individual variation of the human lipidome

Anh Hoang Nguyen, Habtamu B. Beyene, Gabriele Mocciaro, Lisa Hahnefeld, Santosh Lamichhane, Mikael Fabritius, Henri Avela, Yuqin Wang Orcid Logo, Alex M. Dickens, Robert Gurke, Baoru Yang, William Griffiths Orcid Logo, Tuulia Hyötyläinen, Peter J. Meikle, Matej Orešič Orcid Logo

TrAC Trends in Analytical Chemistry, Volume: 191, Start page: 118368

Swansea University Authors: Yuqin Wang Orcid Logo, William Griffiths Orcid Logo

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DOI (Published version): 10.1016/j.trac.2025.118368

Abstract

Lipids play essential roles in cellular functions such as membrane structure, signaling, and energy storage. Lipidomics—global study of lipids in cells and tissues—seeks to identify biomarkers and uncover underlying metabolic pathways. Human lipid concentrations in cells and biofluids can fluctuate...

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Published in: TrAC Trends in Analytical Chemistry
ISSN: 0165-9936
Published: Elsevier BV 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa69953
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spelling 2025-09-04T10:43:44.9575349 v2 69953 2025-07-14 Intra- and inter-individual variation of the human lipidome c92729b58622f9fdf6a0e7d8f4ce5081 0000-0002-3063-3066 Yuqin Wang Yuqin Wang true false 3316b1d1b524be1831790933eed1c26e 0000-0002-4129-6616 William Griffiths William Griffiths true false 2025-07-14 MEDS Lipids play essential roles in cellular functions such as membrane structure, signaling, and energy storage. Lipidomics—global study of lipids in cells and tissues—seeks to identify biomarkers and uncover underlying metabolic pathways. Human lipid concentrations in cells and biofluids can fluctuate at multiple temporal scales, reflecting normal biochemical and physiological variation, or responses to various internal and external stimuli. Understanding both intra- and inter-individual lipid variability is crucial for accurate lipidomics study design and interpretation. This knowledge also supports personalized healthcare, moving beyond static reference ranges. Here, we review key drivers of intra-individual variation, including diet, circadian rhythms, sleep, environmental exposures, and physiological states. We also examine inter individual factors such as genetics, age, sex, microbiome composition, and medications. Finally, we discuss how these variables interact and influence lipidomics outcomes, aiming to enhance reproducibility and guide future research. Journal Article TrAC Trends in Analytical Chemistry 191 118368 Elsevier BV 0165-9936 Inter-individual variation; Intra-individual variation; Human lipidome; Lipidomics; Mass spectrometry 1 10 2025 2025-10-01 10.1016/j.trac.2025.118368 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Another institution paid the OA fee 2025-09-04T10:43:44.9575349 2025-07-14T09:29:38.1355206 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Biomedical Science Anh Hoang Nguyen 1 Habtamu B. Beyene 2 Gabriele Mocciaro 3 Lisa Hahnefeld 4 Santosh Lamichhane 5 Mikael Fabritius 6 Henri Avela 7 Yuqin Wang 0000-0002-3063-3066 8 Alex M. Dickens 9 Robert Gurke 10 Baoru Yang 11 William Griffiths 0000-0002-4129-6616 12 Tuulia Hyötyläinen 13 Peter J. Meikle 14 Matej Orešič 0000-0002-2856-9165 15 69953__35027__01c4f94d3c834f6689ff816211b66a1d.pdf 69953.VoR.pdf 2025-09-04T10:41:56.6498004 Output 6545878 application/pdf Version of Record true © 2025 The Authors. This is an open access article under the CC BY license. true eng http://creativecommons.org/licenses/by/4.0/
title Intra- and inter-individual variation of the human lipidome
spellingShingle Intra- and inter-individual variation of the human lipidome
Yuqin Wang
William Griffiths
title_short Intra- and inter-individual variation of the human lipidome
title_full Intra- and inter-individual variation of the human lipidome
title_fullStr Intra- and inter-individual variation of the human lipidome
title_full_unstemmed Intra- and inter-individual variation of the human lipidome
title_sort Intra- and inter-individual variation of the human lipidome
author_id_str_mv c92729b58622f9fdf6a0e7d8f4ce5081
3316b1d1b524be1831790933eed1c26e
author_id_fullname_str_mv c92729b58622f9fdf6a0e7d8f4ce5081_***_Yuqin Wang
3316b1d1b524be1831790933eed1c26e_***_William Griffiths
author Yuqin Wang
William Griffiths
author2 Anh Hoang Nguyen
Habtamu B. Beyene
Gabriele Mocciaro
Lisa Hahnefeld
Santosh Lamichhane
Mikael Fabritius
Henri Avela
Yuqin Wang
Alex M. Dickens
Robert Gurke
Baoru Yang
William Griffiths
Tuulia Hyötyläinen
Peter J. Meikle
Matej Orešič
format Journal article
container_title TrAC Trends in Analytical Chemistry
container_volume 191
container_start_page 118368
publishDate 2025
institution Swansea University
issn 0165-9936
doi_str_mv 10.1016/j.trac.2025.118368
publisher Elsevier BV
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Biomedical Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Biomedical Science
document_store_str 1
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description Lipids play essential roles in cellular functions such as membrane structure, signaling, and energy storage. Lipidomics—global study of lipids in cells and tissues—seeks to identify biomarkers and uncover underlying metabolic pathways. Human lipid concentrations in cells and biofluids can fluctuate at multiple temporal scales, reflecting normal biochemical and physiological variation, or responses to various internal and external stimuli. Understanding both intra- and inter-individual lipid variability is crucial for accurate lipidomics study design and interpretation. This knowledge also supports personalized healthcare, moving beyond static reference ranges. Here, we review key drivers of intra-individual variation, including diet, circadian rhythms, sleep, environmental exposures, and physiological states. We also examine inter individual factors such as genetics, age, sex, microbiome composition, and medications. Finally, we discuss how these variables interact and influence lipidomics outcomes, aiming to enhance reproducibility and guide future research.
published_date 2025-10-01T05:31:11Z
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