{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Nelson AB"],"funding":["NIDDK NIH HHS","NIA NIH HHS"],"pagination":["100201"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9034316"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["63(5)"],"pubmed_abstract":["FA esters of hydroxy FAs (FAHFAs) are lipokines with extensive structural and regional isomeric diversity that impact multiple physiological functions, including insulin sensitivity and glucose homeostasis. Because of their low molar abundance, FAHFAs are typically quantified using highly sensitive LC-MS/MS methods. Numerous relevant MS databases house in silico-spectra that allow identification and speciation of FAHFAs. These provisional chemical feature assignments provide a useful starting point but could lead to misidentification. To address this possibility, we analyzed human serum with a commonly applied high-resolution LC-MS untargeted metabolomics platform. We found that many chemical features are putatively assigned to the FAHFA lipid class based on exact mass and fragmentation pa"],"journal":["Journal of lipid research"],"pubmed_title":["Artifactual FA dimers mimic FAHFA signals in untargeted metabolomics pipelines."],"pmcid":["PMC9034316"],"funding_grant_id":["R01 DK098203","R01 AG069781","R01 DK091538"],"pubmed_authors":["Crawford PA","Chow LS","Hughey CC","Nelson AB","Puchalska P"],"additional_accession":[]},"is_claimable":false,"name":"Artifactual FA dimers mimic FAHFA signals in untargeted metabolomics pipelines.","description":"FA esters of hydroxy FAs (FAHFAs) are lipokines with extensive structural and regional isomeric diversity that impact multiple physiological functions, including insulin sensitivity and glucose homeostasis. Because of their low molar abundance, FAHFAs are typically quantified using highly sensitive LC-MS/MS methods. Numerous relevant MS databases house in silico-spectra that allow identification and speciation of FAHFAs. These provisional chemical feature assignments provide a useful starting point but could lead to misidentification. To address this possibility, we analyzed human serum with a commonly applied high-resolution LC-MS untargeted metabolomics platform. We found that many chemical features are putatively assigned to the FAHFA lipid class based on exact mass and fragmentation pa","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 May","modification":"2026-06-04T04:38:29.845Z","creation":"2024-10-16T10:43:40.117Z"},"accession":"S-EPMC9034316","cross_references":{"pubmed":["35315332"],"doi":["10.1016/j.jlr.2022.100201"]}}