Untargeted hair lipidomics: comprehensive evaluation of the hair-specific lipid signature and considerations for retrospective analysis.
Data interpretation
Extraction methods
Hair
Metabolomics
Profiling
Sample preparation
Journal
Analytical and bioanalytical chemistry
ISSN: 1618-2650
Titre abrégé: Anal Bioanal Chem
Pays: Germany
ID NLM: 101134327
Informations de publication
Date de publication:
Sep 2023
Sep 2023
Historique:
received:
26
04
2023
accepted:
06
07
2023
revised:
30
06
2023
medline:
4
9
2023
pubmed:
20
7
2023
entrez:
19
7
2023
Statut:
ppublish
Résumé
Lipidomics investigates the composition and function of lipids, typically employing blood or tissue samples as the primary study matrices. Hair has recently emerged as a potential complementary sample type to identify biomarkers in early disease stages and retrospectively document an individual's metabolic status due to its long detection window of up to several months prior to the time of sampling. However, the limited coverage of lipid profiling presented in previous studies has hindered its exploitation. This study aimed to evaluate the lipid coverage of hair using an untargeted liquid chromatography-high-resolution mass spectrometry lipidomics platform. Two distinct three-step exhaustive extraction experiments were performed using a hair metabolomics one-phase extraction technique that has been recently optimized, and the two-phase Folch extraction method which is recognized as the gold standard for lipid extraction in biological matrices. The applied lipidomics workflow improved hair lipid coverage, as only 99 species could be annotated using the one-phase extraction method, while 297 lipid species across six categories were annotated with the Folch method. Several lipids in hair were reported for the first time, including N-acyl amino acids, diradylglycerols, and coenzyme Q10. The study suggests that hair lipids are not solely derived from de novo synthesis in hair, but are also incorporated from sebum and blood, making hair a valuable matrix for clinical, forensic, and dermatological research. The improved understanding of the lipid composition and analytical considerations for retrospective analysis offers valuable insights to contextualize untargeted hair lipidomic analysis and facilitate the use of hair in translational studies.
Identifiants
pubmed: 37468753
doi: 10.1007/s00216-023-04851-z
pii: 10.1007/s00216-023-04851-z
doi:
Substances chimiques
Lipids
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5589-5604Subventions
Organisme : Universiteit Antwerpen
ID : BOF DOCPRO 4-Antigoon ID 36893
Organisme : Universiteit Antwerpen
ID : BOF-Antigoon ID 46315
Organisme : Fonds Wetenschappelijk Onderzoek
ID : 1120623N
Organisme : Fonds Wetenschappelijk Onderzoek
ID : 1161620N
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
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